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1. Brain charts for the human lifespan

Author: Bethlehem, RAI, Seidlitz, J, White, SR, Vogel, JW, Anderson, KM, Adamson, C, Adler, S, Alexopoulos, GS, Anagnostou, E, Areces-Gonzalez, A, Astle, DE, Auyeung, B, Ayub, M, Bae, J, Ball, G, Baron-Cohen, S, Beare, R, Bedford, SA, Benegal, V, Beyer, F, Blangero, J, Blesa Cábez, M, Boardman, JP, Borzage, M, Bosch-Bayard, JF, Bourke, N, Calhoun, VD, Chakravarty, MM, Chen, C, Chertavian, C, Chetelat, G, Chong, YS, Cole, JH, Corvin, A, Costantino, M, Courchesne, E, Crivello, F, Cropley, VL, Crosbie, J, Crossley, N, Delarue, M, Delorme, R, Desrivieres, S, Devenyi, GA, Di Biase, MA, Dolan, R, Donald, KA, Donohoe, G, Dunlop, K, Edwards, AD, Elison, JT, Ellis, CT, Elman, JA, Eyler, L, Fair, DA, Feczko, E, Fletcher, PC, Fonagy, P, Franz, CE, Galan-Garcia, L, Gholipour, A, Giedd, J, Gilmore, JH, Glahn, DC, Goodyer, IM, Grant, PE, Groenewold, NA, Gunning, FM, Gur, RE, Gur, RC, Hammill, CF, Hansson, O, Hedden, T, Heinz, A, Henson, RN, Heuer, K, Hoare, J, Holla, B, Holmes, AJ, Holt, R, Huang, H, Im, K, Ipser, J, Jack, CR, Jackowski, AP, Jia, T, Johnson, KA, Jones, PB, Jones, DT, Kahn, RS, Karlsson, H, Karlsson, L, Kawashima, R, Kelley, EA, Kern, S, Kim, KW, Kitzbichler, MG, Kremen, WS, Lalonde, F, and Landeau, B
Subjects: Biological Psychology, Psychology, Aging, Clinical Research, Neurosciences, Brain Disorders, Biomedical Imaging, Neurological, Mental health, Body Height, Brain, Humans, Longevity, Magnetic Resonance Imaging, Neuroimaging, 3R-BRAIN, AIBL, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s Disease Repository Without Borders Investigators, CALM Team, Cam-CAN, CCNP, COBRE, cVEDA, ENIGMA Developmental Brain Age Working Group, Developing Human Connectome Project, FinnBrain, Harvard Aging Brain Study, IMAGEN, KNE96, Mayo Clinic Study of Aging, NSPN, POND, PREVENT-AD Research Group, VETSA, General Science & Technology
Abstract: Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
Published: 2022

2. Trust and Safety

Author: Devitt, S. K., Horne, R., Assaad, Z., Broad, E., Kurniawati, H., Cardier, B., Scott, A., Lazar, S., Gould, M., Adamson, C., Karl, C., Schrever, F., Keay, S., Tranter, K., Shellshear, E., Hunter, D., Brady, M., and Putland, T.
Subjects: Computer Science - Robotics, Computer Science - Human-Computer Interaction, B.8.0, C.4, K.4.0, K.4.1, K.5.2
Abstract: Robotics in Australia have a long history of conforming with safety standards and risk managed practices. This chapter articulates the current state of trust and safety in robotics including society's expectations, safety management systems and system safety as well as emerging issues and methods for ensuring safety in increasingly autonomous robotics. The future of trust and safety will combine standards with iterative, adaptive and responsive regulatory and assurance methods for diverse applications of robotics, autonomous systems and artificial intelligence (RAS-AI). Robotics will need novel technical and social approaches to achieve assurance, particularly for game-changing innovations. The ability for users to easily update algorithms and software, which alters the performance of a system, implies that traditional machine assurance performed prior to deployment or sale, will no longer be viable. Moreover, the high frequency of updates implies that traditional certification that requires substantial time will no longer be practical. To alleviate these difficulties, automation of assurance will likely be needed; something like 'ASsurance-as-a-Service' (ASaaS), where APIs constantly ping RAS-AI to ensure abidance with various rules, frameworks and behavioural expectations. There are exceptions to this, such as in contested or communications denied environments, or in underground or undersea mining; and these systems need their own risk assessments and limitations imposed. Indeed, self-monitors are already operating within some systems. To ensure safe operations of future robotics systems, Australia needs to invest in RAS-AI assurance research, stakeholder engagement and continued development and refinement of robust frameworks, methods, guidelines and policy in order to educate and prepare its technology developers, certifiers, and general population., Comment: Approved for publication as a chapter in 'Robotics Roadmap for Australia V2' by Robotics Australia Network [forthcoming]. 31 pages, 10 Figures, 1 table
Published: 2021

3. CHALLENGES IN BASIC STATISTICS: IMPLICATIONS FOR RESEARCH ACCURACY AND RELIABILITY

Author: FELIX, CRISELDA S., primary, MOCNANGAN, JOANA T., additional, LARTEC, CEASARIA L., additional, HUGO, ISRAELIZA G., additional, and PINAS, ADAMSON C., additional
Published: 2024
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4. Ergonomic evaluation of an alternative tool for cake decorating

Author: Harris-Adamson, C, Chen, B, Janowitz, I, and Rempel, DM
Subjects: Clinical Research, Pain Research, Musculoskeletal, Cake decor, Tool, Grip force, Hand tool, Human Movement and Sports Sciences, Public Health and Health Services, Human Factors
Abstract: Aim Cake decorating involves several hand intensive steps with high grip force during the application of icing. The purpose of this laboratory study was to evaluate forearm muscle activity, discomfort, productivity, and usability of an alternative tool for cake decorating compared to decorating with the traditional piping bag. Methods Participants (n = 17) performed 2 h of cake decorating tasks using the two tools. Subjective hand and arm fatigue, usability, upper extremity posture, and muscle activity from three forearm muscles were assessed for each tool. Outcome measures were evaluated using the Wilcoxon Signed Rank test and the paired t-test. Results Less fatigue was reported in the dominant hand (p = 0.001), forearm (p = 0.003) and shoulder (p = 0.02) for the alternative tool when compared to the piping bag. Average median (APDF 50%) and peak (APDF 90%) muscle activity was significantly less for the alternative tool across all three forearm muscles. The alternative tool significantly reduced grip force, an important risk factor for distal upper extremity pain and disorders. Participants rated usability of the alternative tool superior for refill and comfort but the traditional method was rated better for accuracy, stability, positioning and control. Conclusions The alternative tool was associated with less dominant arm fatigue, muscle activity, and grip force when compared with the piping bag. However, the alternative tool did not receive the best overall usability rating due to problems with accuracy and overflow, especially with smaller decorating tips. Recommendations were made for addressing these problems with the alternative tool.
Published: 2017

5. Publisher Correction: Brain charts for the human lifespan

Author: Bethlehem, R. A. I., Seidlitz, J., White, S. R., Vogel, J. W., Anderson, K. M., Adamson, C., Adler, S., Alexopoulos, G. S., Anagnostou, E., Areces-Gonzalez, A., Astle, D. E., Auyeung, B., Ayub, M., Bae, J., Ball, G., Baron-Cohen, S., Beare, R., Bedford, S. A., Benegal, V., Beyer, F., Blangero, J., Blesa Cábez, M., Boardman, J. P., Borzage, M., Bosch-Bayard, J. F., Bourke, N., Calhoun, V. D., Chakravarty, M. M., Chen, C., Chertavian, C., Chetelat, G., Chong, Y. S., Cole, J. H., Corvin, A., Costantino, M., Courchesne, E., Crivello, F., Cropley, V. L., Crosbie, J., Crossley, N., Delarue, M., Delorme, R., Desrivieres, S., Devenyi, G. A., Di Biase, M. A., Dolan, R., Donald, K. A., Donohoe, G., Dunlop, K., Edwards, A. D., Elison, J. T., Ellis, C. T., Elman, J. A., Eyler, L., Fair, D. A., Feczko, E., Fletcher, P. C., Fonagy, P., Franz, C. E., Galan-Garcia, L., Gholipour, A., Giedd, J., Gilmore, J. H., Glahn, D. C., Goodyer, I. M., Grant, P. E., Groenewold, N. A., Gunning, F. M., Gur, R. E., Gur, R. C., Hammill, C. F., Hansson, O., Hedden, T., Heinz, A., Henson, R. N., Heuer, K., Hoare, J., Holla, B., Holmes, A. J., Holt, R., Huang, H., Im, K., Ipser, J., Jack, Jr, C. R., Jackowski, A. P., Jia, T., Johnson, K. A., Jones, P. B., Jones, D. T., Kahn, R. S., Karlsson, H., Karlsson, L., Kawashima, R., Kelley, E. A., Kern, S., Kim, K. W., Kitzbichler, M. G., Kremen, W. S., Lalonde, F., Landeau, B., Lee, S., Lerch, J., Lewis, J. D., Li, J., Liao, W., Liston, C., Lombardo, M. V., Lv, J., Lynch, C., Mallard, T. T., Marcelis, M., Markello, R. D., Mathias, S. R., Mazoyer, B., McGuire, P., Meaney, M. J., Mechelli, A., Medic, N., Misic, B., Morgan, S. E., Mothersill, D., Nigg, J., Ong, M. Q. W., Ortinau, C., Ossenkoppele, R., Ouyang, M., Palaniyappan, L., Paly, L., Pan, P. M., Pantelis, C., Park, M. M., Paus, T., Pausova, Z., Paz-Linares, D., Pichet Binette, A., Pierce, K., Qian, X., Qiu, J., Qiu, A., Raznahan, A., Rittman, T., Rodrigue, A., Rollins, C. K., Romero-Garcia, R., Ronan, L., Rosenberg, M. D., Rowitch, D. H., Salum, G. A., Satterthwaite, T. D., Schaare, H. L., Schachar, R. J., Schultz, A. P., Schumann, G., Schöll, M., Sharp, D., Shinohara, R. T., Skoog, I., Smyser, C. D., Sperling, R. A., Stein, D. J., Stolicyn, A., Suckling, J., Sullivan, G., Taki, Y., Thyreau, B., Toro, R., Traut, N., Tsvetanov, K. A., Turk-Browne, N. B., Tuulari, J. J., Tzourio, C., Vachon-Presseau, É., Valdes-Sosa, M. J., Valdes-Sosa, P. A., Valk, S. L., van Amelsvoort, T., Vandekar, S. N., Vasung, L., Victoria, L. W., Villeneuve, S., Villringer, A., Vértes, P. E., Wagstyl, K., Wang, Y. S., Warfield, S. K., Warrier, V., Westman, E., Westwater, M. L., Whalley, H. C., Witte, A. V., Yang, N., Yeo, B., Yun, H., Zalesky, A., Zar, H. J., Zettergren, A., Zhou, J. H., Ziauddeen, H., Zugman, A., Zuo, X. N., Bullmore, E. T., and Alexander-Bloch, A. F.
Published: 2022
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6. A longitudinal study of the association between basal ganglia volumes and psychomotor symptoms in subjects with late life depression undergoing ECT

Author: Van Cauwenberge, M. G. A., Bouckaert, F., Vansteelandt, K., Adamson, C., De Winter, F. L., Sienaert, P., Van den Stock, J., Dols, A., Rhebergen, D., Stek, M. L., Emsell, L., and Vandenbulcke, M.
Published: 2021
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7. Ergonomic evaluation of an alternative tool for cake decorating

Author: Harris-Adamson, C., Chen, B., Janowitz, I., and Rempel, D.M.
Published: 2017
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8. Brain charts for the human lifespan

Author: Armin Raznahan, Eric Courchesne, Andrea Parolin Jackowski, Kamen A. Tsvetanov, Cameron T. Ellis, R.C. Gur, Bin Bae J, Park Mtm, Pedro A. Valdes-Sosa, Simon N. Vandekar, Jacob W. Vogel, Juan Zhou, Machteld Marcelis, Kiho Im, Patricia Ellen Grant, Minhui Ouyang, Blesa Cabez M, Michael V. Lombardo, Sarah E. Morgan, James P. Boardman, Adamson C, Calhoun Vd, Delarue M, James H. Cole, Pichet Binette A, Roberto Toro, David H. Rowitch, Nynke A. Groenewold, Kevin M. Anderson, David T.W. Jones, Michael Schöll, Wang Ys, Aiden Corvin, R.E. Gur, Damien A. Fair, Gareth Ball, Herma Lina Schaare, Andrew Zalesky, Evdokia Anagnostou, Michael J. Meaney, Taki Y, Gareth J. Sullivan, Warrier, Petra E. Vértes, Chixiang Chen, Lisa T. Eyler, Wei Liao, Tomáš Paus, Jeremy A. Elman, Phillip McGuire, Hisham Ziauddeen, William S. Kremen, Etienne Vachon-Presseau, E.T. Bullmore, Christophe Tzourio, White, Hammill Cf, Mothersill D, Richard N. Henson, Jiang Qiu, Duncan E. Astle, Fabrice Crivello, Paul C. Fletcher, Chertavian C, Kim K, Jennifer Crosbie, Russell Schachar, Gabriel A. Devenyi, Manfred G. Kitzbichler, Tianye Jia, Trey Hedden, Sang Jae Lee, Ross D. Markello, Silke Kern, Ian M. Goodyer, Keith A. Johnson, Frauke Beyer, Bernard Mazoyer, A. Heinz, Sylvane Desrivières, Rosenberg, Gary Donohoe, Ong Mq, Alexander D. Edwards, Dan J. Stein, Nenad Medic, Zuo Xn, Travis T. Mallard, Peter Fonagy, Lindsay W. Victoria, Ingmar Skoog, Avram J. Holmes, Jason P. Lerch, Jed T. Elison, Jianfu Li, John H. Gilmore, Rosemary Holt, Caitlin K. Rollins, Carol E. Franz, Pedro Mario Pan, Saashi A Bedford, Yang N, Jonathan C Ipser, Richard A. I. Bethlehem, Tuulari Jj, Stolicyn A, Hua Huang, Bratislav Misic, Conor Liston, Ayub M, Lisa Ronan, Yeo Bt, Sophie Adler, Charles J. Lynch, Faith M. Gunning, Konrad Wagstyl, M. Mallar Chakravarty, John Suckling, Theodore D. Satterthwaite, Bharath Holla, Yap Seng Chong, Jinglei Lv, Jakob Seidlitz, Niall J Bourke, Xinlei Qian, Simon Baron-Cohen, Cynthia M. Ortinau, Deirel Paz Linares, Thyreau B, René S. Kahn, Aaron P. Schultz, Vanessa Cropley, Eric Westman, Mitchell Valdés-Sosa, Rik Ossenkoppele, André Zugman, Hasse Karlsson, Sylvia Villeneuve, Katja Heuer, Di Biase Ma, Margaret L. Westwater, Sofie L. Valk, David J. Sharp, Brigitte Landeau, Matthew Borzage, Kirsten A. Donald, Timothy Rittman, Richard Beare, Giovanni Abrahão Salum, Gunter Schumann, Ryuta Kawashima, Romero-Garcia R, John Blangero, Yun Hj, Russel T. Shinohara, Nicolas Crossley, Simon K. Warfield, Karen Pierce, George S. Alexopoulos, Katharine Dunlop, David C. Glahn, Francois Lalonde, Anqi Qiu, Lana Vasung, Gaël Chételat, Lídice Galán-García, Clifford R. Jack, Reisa A. Sperling, Anna Zettergren, Elizabeth Kelley, Arno Villringer, Andrea Mechelli, Benegal, Aaron Alexander-Bloch, Nicholas B. Turk-Browne, van Amelsvoort T, John D. Lewis, Heather C. Whalley, A. V. Witte, Zdenka Pausova, Joel T. Nigg, Heather J. Zar, Raymond J. Dolan, Christopher D. Smyser, Jay N. Giedd, Lena Palaniyappan, Ali Gholipour, Areces-Gonzalez A, Peter B. Jones, Jacqueline Hoare, Oskar Hansson, Linnea Karlsson, C Pantelis, Paly L, Bonnie Auyeung, Jorge Bosch-Bayard, Bethlehem, Richard [0000-0002-0714-0685], White, Simon [0000-0001-8642-7037], Astle, Duncan [0000-0002-7042-5392], Baron-Cohen, Simon [0000-0001-9217-2544], Henson, Rik [0000-0002-0712-2639], Jones, Peter [0000-0002-0387-880X], Kitzbichler, Manfred [0000-0002-4494-0753], Rittman, Timothy [0000-0003-1063-6937], Rowitch, David [0000-0002-0079-0060], Tsvetanov, Kamen A. [0000-0002-3178-6363], Westwater-Wozniak, Margaret [0000-0002-2918-0979], Ziauddeen, Hisham [0000-0003-4044-1719], Apollo - University of Cambridge Repository, British Academy, Autism Research Trust, National Institute of Mental Health (US), UK Research and Innovation, Medical Research Council (UK), National Institute for Health and Care Research (US), Wellcome Trust, University of Cambridge, Cambridge Biomedical Research Centre, University of Cambridge [UK] (CAM), University of Pennsylvania, Yale University [New Haven], Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Physiopathologie et imagerie des troubles neurologiques (PhIND), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Child and Adolescent Psychiatry Department [AP- HP Hôpital Robert Debré], AP-HP Hôpital universitaire Robert-Debré [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Département de Neuroscience - Department of Neuroscience, Centre de Recherche Interdisciplinaire / Center for Research and Interdisciplinarity [Paris, France] (CRI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Psychiatrie & Neuropsychologie, RS: MHeNs - R2 - Mental Health, MUMC+: MA Med Staf Spec Psychiatrie (9), Neurology, Amsterdam Neuroscience - Neurodegeneration, 3R-BRAIN, AIBL, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s Disease Repository Without Borders Investigators, CALM Team, Cam-CAN, CCNP, COBRE, cVEDA, ENIGMA Developmental Brain Age Working Group, Developing Human Connectome Project, FinnBrain, Harvard Aging Brain Study, IMAGEN, KNE96, The Mayo Clinic Study of Aging, NSPN, POND, The PREVENT-AD Research Group, VETSA, [Bethlehem, R. A. I.] Univ Cambridge, Dept Psychiat, Autism Res Ctr, Cambridge, England, [Auyeung, B.] Univ Cambridge, Dept Psychiat, Autism Res Ctr, Cambridge, England, [Baron-Cohen, S.] Univ Cambridge, Dept Psychiat, Autism Res Ctr, Cambridge, England, [Bedford, S. A.] Univ Cambridge, Dept Psychiat, Autism Res Ctr, Cambridge, England, [Holt, R.] Univ Cambridge, Dept Psychiat, Autism Res Ctr, Cambridge, England, [Lombardo, M. V.] Univ Cambridge, Dept Psychiat, Autism Res Ctr, Cambridge, England, [Bethlehem, R. A. I.] Univ Cambridge, Dept Psychiat, Brain Mapping Unit, Cambridge, England, [Kitzbichler, M. G.] Univ Cambridge, Dept Psychiat, Brain Mapping Unit, Cambridge, England, [Seidlitz, J.] Univ Penn, Dept Psychiat, Philadelphia, PA 19104 USA, [Vogel, J. W.] Univ Penn, Dept Psychiat, Philadelphia, PA 19104 USA, [Gur, R. E.] Univ Penn, Dept Psychiat, Philadelphia, PA 19104 USA, [Gur, R. C.] Univ Penn, Dept Psychiat, Philadelphia, PA 19104 USA, [Jackowski, A. P.] Univ Penn, Dept Psychiat, Philadelphia, PA 19104 USA, [Satterthwaite, T. D.] Univ Penn, Dept Psychiat, Philadelphia, PA 19104 USA, [Alexander-Bloch, A. F.] Univ Penn, Dept Psychiat, Philadelphia, PA 19104 USA, [Seidlitz, J.] Childrens Hosp Philadelphia, Dept Child & Adolescent Psychiat & Behav Sci, Philadelphia, PA 19104 USA, [Alexander-Bloch, A. F.] Childrens Hosp Philadelphia, Dept Child & Adolescent Psychiat & Behav Sci, Philadelphia, PA 19104 USA, [Seidlitz, J.] Childrens Hosp Philadelphia & Penn Med, Lifespan Brain Inst, Philadelphia, PA USA, [Chertavian, C.] Childrens Hosp Philadelphia & Penn Med, Lifespan Brain Inst, Philadelphia, PA USA, [Gur, R. E.] Childrens Hosp Philadelphia & Penn Med, Lifespan Brain Inst, Philadelphia, PA USA, [Gur, R. C.] Childrens Hosp Philadelphia & Penn Med, Lifespan Brain Inst, Philadelphia, PA USA, [Alexander-Bloch, A. F.] Childrens Hosp Philadelphia & Penn Med, Lifespan Brain Inst, Philadelphia, PA USA, [White, S. R.] Univ Cambridge, Dept Psychiat, Cambridge, England, [Goodyer, I. M.] Univ Cambridge, Dept Psychiat, Cambridge, England, [Henson, R. N.] Univ Cambridge, Dept Psychiat, Cambridge, England, [Jones, P. B.] Univ Cambridge, Dept Psychiat, Cambridge, England, [Kitzbichler, M. G.] Univ Cambridge, Dept Psychiat, Cambridge, England, [Medic, N.] Univ Cambridge, Dept Psychiat, Cambridge, England, [Morgan, S. E.] Univ Cambridge, Dept Psychiat, Cambridge, England, [Romero-Garcia, R.] Univ Cambridge, Dept Psychiat, Cambridge, England, [Ronan, L.] Univ Cambridge, Dept Psychiat, Cambridge, England, [Suckling, J.] Univ Cambridge, Dept Psychiat, Cambridge, England, [Vertes, P. E.] Univ Cambridge, Dept Psychiat, Cambridge, England, [Warrier, V.] Univ Cambridge, Dept Psychiat, Cambridge, England, [Westwater, M. L.] Univ Cambridge, Dept Psychiat, Cambridge, England, [Ziauddeen, H.] Univ Cambridge, Dept Psychiat, Cambridge, England, [Bullmore, E. T.] Univ Cambridge, Dept Psychiat, Cambridge, England, [White, S. R.] Univ Cambridge, MRC Biostat Unit, Cambridge, England, [Vogel, J. W.] Univ Penn, Lifespan Informat & Neuroimaging Ctr, Philadelphia, PA 19104 USA, [Satterthwaite, T. D.] Univ Penn, Lifespan Informat & Neuroimaging Ctr, Philadelphia, PA 19104 USA, [Anderson, K. M.] Yale Univ, Dept Psychol, New Haven, CT USA, [Ellis, C. T.] Yale Univ, Dept Psychol, New Haven, CT USA, [Turk-Browne, N. B.] Yale Univ, Dept Psychol, New Haven, CT USA, [Adamson, C.] Murdoch Childrens Res Inst, Dev Imaging, Melbourne, Vic, Australia, [Ball, G.] Murdoch Childrens Res Inst, Dev Imaging, Melbourne, Vic, Australia, [Beare, R.] Murdoch Childrens Res Inst, Dev Imaging, Melbourne, Vic, Australia, [Jackowski, A. P.] Murdoch Childrens Res Inst, Dev Imaging, Melbourne, Vic, Australia, [Adamson, C.] Monash Univ, Dept Med, Melbourne, Vic, Australia, [Beare, R.] Monash Univ, Dept Med, Melbourne, Vic, Australia, [Adler, S.] UCL Great Ormond St Inst Child Hlth, London, England, [Alexopoulos, G. S.] Weill Cornell Med, Dept Psychiat, Weill Cornell Inst Geriatr Psychiat, New York, NY USA, [Anagnostou, E.] Univ Toronto, Dept Pediat, Toronto, ON, Canada, [Anagnostou, E.] Holland Bloorview Kids Rehabil Hosp, Toronto, ON, Canada, [Pierce, K.] Holland Bloorview Kids Rehabil Hosp, Toronto, ON, Canada, [Areces-Gonzalez, A.] Univ Elect Sci & Technol China, MOE Key Lab NeuroInformat, Clin Hosp, Chengdu Brain Sci Inst, Chengdu, Peoples R China, [Paz-Linares, D.] Univ Elect Sci & Technol China, MOE Key Lab NeuroInformat, Clin Hosp, Chengdu Brain Sci Inst, Chengdu, Peoples R China, [Areces-Gonzalez, A.] Univ Pinar del Rio Hermanos Saiz Montes de Oca, Pinar Del Rio, Cuba, [Astle, D. E.] Univ Cambridge, MRC Cognit & Brain Sci Unit, Cambridge, England, [Henson, R. N.] Univ Cambridge, MRC Cognit & Brain Sci Unit, Cambridge, England, [Whalley, H. C.] Univ Cambridge, MRC Cognit & Brain Sci Unit, Cambridge, England, [Auyeung, B.] Univ Edinburgh, Sch Philosophy Psychol & Language Sci, Dept Psychol, Edinburgh, Midlothian, Scotland, [Pausova, Z.] Univ Edinburgh, Sch Philosophy Psychol & Language Sci, Dept Psychol, Edinburgh, Midlothian, Scotland, [Ayub, M.] Queens Univ, Dept Psychiat, Ctr Neurosci Studies, Kingston, ON, Canada, [Ayub, M.] UCL, Mental Hlth Neurosci Res Dept, Div Psychiat, London, England, [Bae, J.] Seoul Natl Univ, Bundang Hosp, Dept Neuropsychiat, Seongnam, South Korea, [Ball, G.] Univ Melbourne, Dept Paediat, Melbourne, Vic, Australia, [Baron-Cohen, S.] Cambridgeshire & Peterborough NHS Fdn Trust, Cambridge Lifetime Asperger Syndrome Serv CLASS, Cambridge, England, [Benegal, V.] Natl Inst Mental Hlth & Neurosci NIMHANS, Ctr Addict Med, Bengaluru, India, [Beyer, F.] Max Planck Inst Human Cognit & Brain Sci, Dept Neurol, Leipzig, Germany, [Villringer, A.] Max Planck Inst Human Cognit & Brain Sci, Dept Neurol, Leipzig, Germany, [Witte, A. V.] Max Planck Inst Human Cognit & Brain Sci, Dept Neurol, Leipzig, Germany, [Blangero, J.] Univ Texas Rio Grande Valley, South Texas Diabet & Obes Inst, Dept Human Genet, Edinburg, TX USA, [Blesa Cabez, M.] Univ Edinburgh, MRC Ctr Reprod Hlth, Edinburgh, Midlothian, Scotland, [Boardman, J. P.] Univ Edinburgh, MRC Ctr Reprod Hlth, Edinburgh, Midlothian, Scotland, [Sullivan, G.] Univ Edinburgh, MRC Ctr Reprod Hlth, Edinburgh, Midlothian, Scotland, [Borzage, M.] Univ Southern Calif, Childrens Hosp Los Angeles, Keck Sch Med, Fetal & Neonatal Inst,Div Neonatol,Dept Pediat, Los Angeles, CA 90007 USA, [Bosch-Bayard, J. F.] Montreal Neurol Inst, Ludmer Ctr Neuroinformat & Mental Hlth, McGill Ctr Integrat Neurosci, Montreal, PQ, Canada, [Bosch-Bayard, J. F.] McGill Univ, Montreal, PQ, Canada, [Chakravarty, M. M.] McGill Univ, Montreal, PQ, Canada, [Bourke, N.] Imperial Coll London, Dept Brain Sci, London, England, [Sharp, D.] Imperial Coll London, Dept Brain Sci, London, England, [Alexander-Bloch, A. F.] Imperial Coll London, Dept Brain Sci, London, England, [Bourke, N.] Dementia Res Inst, Care Res & Technol Ctr, London, England, [Calhoun, V. D.] Georgia State Univ, Triinst Ctr Translat Res Neuroimaging & Data Sci, Georgia Inst Technol, Atlanta, GA 30303 USA, [Calhoun, V. D.] Emory Univ, Atlanta, GA 30322 USA, [Chakravarty, M. M.] Douglas Mental Hlth Univ Inst, Cerebral Imaging Ctr, Comp Brain Anat CoBrA Lab, Montreal, PQ, Canada, [Chen, C.] Univ Penn, Penn Stat Imaging & Visualizat Ctr, Dept Biostat Epidemiol & Informat, Perelman Sch Med, Philadelphia, PA 19104 USA, [Shinohara, R. 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J.] Univ Turku, Turku Coll Sci Med & Technol, Turku, Finland, [Tzourio, C.] Univ Bordeaux, Bordeaux Populat Hlth Res Ctr, CHU Bordeaux, U1219,INSERM, Bordeaux, France, [Vachon-Presseau, E.] McGill Univ, Fac Dent Med & Oral Hlth Sci, Montreal, PQ, Canada, [Valdes-Sosa, P. A.] McGill Univ, Alan Edwards Ctr Res Pain AECRP, Montreal, PQ, Canada, [Valk, S. L.] Forschungszentrum Julich, Inst Neurosci & Med 7, Julich, Germany, [Valk, S. L.] Max Planck Inst Human Cognit & Brain Sci, Leipzig, Germany, [van Amelsvoort, T.] Maastricht Univ, Dept Psychiat & Neurosychol, Maastricht, Netherlands, [Vandekar, S. N.] Vanderbilt Univ, Dept Biostat, 221 Kirkland Hall, Nashville, TN 37235 USA, [Villeneuve, S.] Vanderbilt Univ, Med Ctr, Dept Biostat, Nashville, TN USA, [Villringer, A.] Univ Leipzig, Clin Cognit Neurol, Med Ctr, Leipzig, Germany, [Witte, A. V.] Univ Leipzig, Clin Cognit Neurol, Med Ctr, Leipzig, Germany, [Zuo, X. N.] Univ Leipzig, Clin Cognit Neurol, Med Ctr, Leipzig, Germany, [Wang, Y. S.] Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing, Peoples R China, [Yang, N.] Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing, Peoples R China, [Yeo, B.] Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing, Peoples R China, [Zuo, X. N.] Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing, Peoples R China, [Wang, Y. S.] Beijing Normal Univ, IDG McGovern Inst Brain Res, Dev Populat Neuroscience Res Ctr, Beijing, Peoples R China, [Yang, N.] Beijing Normal Univ, IDG McGovern Inst Brain Res, Dev Populat Neuroscience Res Ctr, Beijing, Peoples R China, [Zuo, X. N.] Beijing Normal Univ, IDG McGovern Inst Brain Res, Dev Populat Neuroscience Res Ctr, Beijing, Peoples R China, [Wang, Y. S.] Natl Basic Sci Data Ctr, Beijing, Peoples R China, [Yang, N.] Natl Basic Sci Data Ctr, Beijing, Peoples R China, [Zuo, X. N.] Natl Basic Sci Data Ctr, Beijing, Peoples R China, [Wang, Y. S.] Chinese Acad Sci, Res Ctr Lifespan Dev Brain & Mind, Inst Psychol, Beijing, Peoples R China, [Yang, N.] Chinese Acad Sci, Res Ctr Lifespan Dev Brain & Mind, Inst Psychol, Beijing, Peoples R China, [Westman, E.] Karolinska Inst, Ctr Alzheimer Res, Dept Neurobiol Care Sci & Soc, Div Clin Geriatr, Stockholm, Sweden, [Witte, A. V.] Univ Leipzig, CRC 1052 Obes Mech, Fac Med, Leipzig, Germany, [Zhou, J. H.] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore, Singapore, [Yeo, B.] Natl Univ Singapore, Yong Loo Lin Sch Med, Ctr Sleep & Cognit, Singapore, Singapore, [Yeo, B.] Natl Univ Singapore, Yong Loo Lin Sch Med, Ctr Translat MR Res, Singapore, Singapore, [Yeo, B.] Natl Univ Singapore, N1 Inst Hlth, Singapore, Singapore, [Yeo, B.] Natl Univ Singapore, Inst Digital Med, Singapore, Singapore, [Yun, H.] Natl Univ Singapore, Integrat Sci & Engn Programme ISEP, Singapore, Singapore, [Zar, H. J.] Univ Melbourne, Dept Biomed Engn, Melbourne, Vic, Australia, [Zhou, J. H.] Natl Univ Singapore, Yong Loo Lin Sch Med, Ctr Translat Magnet Resonance Res, Singapore, Singapore, [Ziauddeen, H.] Univ Cambridge, Wellcome Trust MRC Inst Metab Sci, Cambridge, England, [Zugman, A.] NIMH, NIH, Bethesda, MD 20892 USA, [Zugman, A.] Escola Paulista Med, Dept Psychiat, Sao Paulo, Brazil, [Zuo, X. N.] Nanning Normal Univ, Sch Educ Sci, Key Lab Brain & Educ, Nanning, Peoples R China, British Academy Postdoctoral fellowship, NIMH, UKRI Medical Research Council, NIHR Cambridge Biomedical Research Centre, NIHR Senior Investigator award, MRC research infrastructure award, Commonwealth Scientific and Industrial Research Organisation (CSIRO), and Ontario Brain Institute
Subjects: 631/378/2649, OpenPain Project, KNE96, Growth, Psychiatric-disorders, DISEASE, 3R-BRAIN, Brain charts, MRI Brain, OASIS-3, Disease, CCNP, 631/378/2571, UMN BCP, Multidisciplinary, medicine.diagnostic_test, PSYCHIATRIC-DISORDERS, article, Brain, Human brain, ASSOCIATION, Magnetic Resonance Imaging, Harvard Aging Brain Study, The Mayo Clinic Study of Aging, NSPN, medicine.anatomical_structure, GROWTH, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], ddc:500, BURDEN, WHITE-MATTER, FinnBrain, Harvard Aging Brain Study, Organization, Mri, MRI, medicine.medical_specialty, Concurrent validity, MODELS, Cam-CAN, Longevity, CALM Team, POND, Neuroimaging, Burden, ORGANIZATION, AIBL, The PREVENT-AD Research Group, VETSA, Cortical thickness, Association, Physical medicine and rehabilitation, FinnBrain, IMAGEN, KNE96, White-matter, medicine, Humans, ASRB, 631/378/1689, COBRE, business.industry, 631/378/2611, Brain morphometry, Neurosciences, Alzheimer’s Disease Repository Without Borders Investigators, Magnetic resonance imaging, Alzheimer’s Disease Neuroimaging Initiative, Anthropometry, Body Height, Brain growth, Birth, 59/57, Normative, IMAGEN, ENIGMA Developmental Brain Age working group, NSPN, business, CCNP, 3R-BRAIN, CORTICAL THICKNESS, Developing Human Connectome Project, ENIGMA Developmental Brain Age working group, The PREVENT-AD Research Group, VETSA, Bullmore, E.T
Abstract: Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes., R.A.I.B. was supported by a British Academy Postdoctoral fellowship and by the Autism Research Trust. J. Seidlitz was supported by NIMH T32MH019112-29 and K08MH120564. S.R.W. was funded by UKRI Medical Research Council MC_UU_00002/2 and was supported by the NIHR Cambridge Biomedical Research Centre (BRC-1215-20014). E.T.B. was supported by an NIHR Senior Investigator award and the Wellcome Trust collaborative award for the Neuroscience in Psychiatry Network. A.F.A.-B. was supported by NIMH K08MH120564. Data were curated and analysed using a computational facility funded by an MRC research infrastructure award (MR/M009041/1) to the School of Clinical Medicine, University of Cambridge and supported by the mental health theme of the NIHR Cambridge Biomedical Research Centre.
Published: 2022

9. Outcomes related to IGFBP-7 in patients with heart failure and reduced ejection fraction and effects of dapagliflozin: findings from DAPA-HF

Author: Adamson, C, primary, Welsh, P, additional, Morrow, D A, additional, Docherty, K F, additional, Hammarstedt, A, additional, Inzucchi, S E, additional, Kober, L, additional, Kosiborod, M N, additional, Martinez, F A, additional, Ponikowski, P, additional, Sabatine, M S, additional, Solomon, S D, additional, Sattar, N, additional, Jhund, P S, additional, and McMurray, J J V, additional
Published: 2022
Full Text: View/download PDF

10. Prevalent and incident anaemia in PARADIGM-HF and effect of sacubitril/valsartan

Author: Curtain, J, primary, Adamson, C, additional, Jhund, P S, additional, Desai, A S, additional, Lefkowitz, M P, additional, Rizkala, A R, additional, Rouleau, J L, additional, Swedberg, K, additional, Zile, M R, additional, Solomon, S D, additional, Packer, M, additional, and McMurray, J J V, additional
Published: 2022
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11. Alkaline phosphatase and bilirubin combined are a powerful predictor of outcome in patients with heart failure and reduced ejection fraction: an analysis of the ATMOSPHERE and PARADIGM-HF trials

Author: Adamson, C, primary, Butt, J H, additional, Rouleau, J, additional, Abraham, W, additional, Desai, A, additional, Dickstein, K, additional, Kober, L, additional, Lefkowitz, M P, additional, Packer, M, additional, Petrie, M C, additional, Swedberg, K, additional, Solomon, S D, additional, Zile, M, additional, Jhund, P S, additional, and McMurray, J J V, additional
Published: 2022
Full Text: View/download PDF

12. Coronary perforation incidence and temporal trends (COPIT): systematic review and meta-analysis

Author: Mikhail, P, primary, Howden, N, additional, Monjur, M, additional, Said, C, additional, Jeyaprakash, P, additional, Bland, A, additional, Collison, D, additional, McCartney, P, additional, Adamson, C, additional, Morrow, A, additional, Carrick, D, additional, McEntegart, M, additional, and Ford, T, additional
Published: 2022
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13. 3D model-based approach to identification of laminar structures of the cerebral cortex: Application to Brodmann areas 17 and 18

Author: Adamson, C., Johnston, L., Mareels, I., Toga, A., Huang, X., and Egan, G.
Published: 2013
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14. Midsagittal corpus callosal thickness and cognitive impairment in Parkinson's disease

Author: Owens-Walton, C, Adamson, C, Walterfang, M, Hall, S, Westen, D, Hansson, O, Shaw, M, Looi, JCL, Owens-Walton, C, Adamson, C, Walterfang, M, Hall, S, Westen, D, Hansson, O, Shaw, M, and Looi, JCL
Abstract: People diagnosed with Parkinson's disease (PD) can experience significant neuropsychiatric symptoms, including cognitive impairment and dementia, the neuroanatomical substrates of which are not fully characterised. Symptoms associated with cognitive impairment and dementia in PD may relate to direct structural changes to the corpus callosum via primary white matter pathology or as a secondary outcome due to the degeneration of cortical regions. Using magnetic resonance imaging, the corpus callosum can be investigated at the midsagittal plane, where it converges to a contiguous mass and is not intertwined with other tracts. The objective of this project was thus twofold: First, we investigated possible changes in the thickness of the midsagittal callosum and cortex in patients with PD with varying levels of cognitive impairment; and secondly, we investigated the relationship between the thickness of the midsagittal corpus callosum and the thickness of the cortex. Study participants included cognitively unimpaired PD participants (n = 35), PD participants with mild cognitive impairment (n = 22), PD participants with dementia (n = 17) and healthy controls (n = 27). We found thinning of the callosum in PD-related dementia compared with PD-related mild cognitive impairment and cognitively unimpaired PD participants. Regression analyses found thickness of the left medial orbitofrontal cortex to be positively correlated with thickness of the anterior callosum in PD-related mild cognitive impairment. This study suggests that a midsagittal thickness model can uncover changes to the corpus callosum in PD-related dementia, which occur in line with changes to the cortex in this advanced disease stage.
Published: 2022

15. Post-disaster social work research: A scoping review of the evidence for practice

Author: Harms, L, Boddy, J, Hickey, L, Hay, K, Alexander, M, Briggs, L, Cooper, L, Alston, M, Fronek, P, Howard, A, Adamson, C, Hazeleger, T, Harms, L, Boddy, J, Hickey, L, Hay, K, Alexander, M, Briggs, L, Cooper, L, Alston, M, Fronek, P, Howard, A, Adamson, C, and Hazeleger, T
Abstract: The aim of this study was to understand the extent, range and nature of social work research activity after natural disasters and to identify the implications for future research and practice. A Scoping review methodology framework was used search of three databases: Web of Science, ProQuest and Informit was conducted to identify relevant studies between 2000 and 2018. Selection of studies was based on empirical research about social work and natural disasters and/or authored by social workers. Study selection found a total of 38 relevant articles. Charting the data was conducted and the following areas of focus were summarised: (1) interventions relating to psychosocial care, aid work and community work; (2) the effects of disasters on people and mediators of these effects; (3) social work education and challenges in disaster relief; and (4) measuring mental health outcomes of people who have experienced a disaster event. This scoping review has established that there is a range of social work literature focused on natural disasters that primarily examines social work interventions, the effects of disasters and social work education. Future social work research and practice needs to focus on the types and timing of interventions that promote positive recovery following natural disasters.
Published: 2022

16. Brain charts for the human lifespan

Author: Universidad de Sevilla. Departamento de Fisiología Médica y Biofísica, Bethlehem, Richard A. I., Seidlitz, Jakob, White, S. R., Vogel, J. W., Anderson, K. M., Adamson, C., Romero García, Rafael, Alexander-Bloch, Aaron F., Universidad de Sevilla. Departamento de Fisiología Médica y Biofísica, Bethlehem, Richard A. I., Seidlitz, Jakob, White, S. R., Vogel, J. W., Anderson, K. M., Adamson, C., Romero García, Rafael, and Alexander-Bloch, Aaron F.
Abstract: Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual diferences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1 . Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data (http://www.brainchart.io/). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantifed by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identifed previously unreported neurodevelo pmental milestones3 , showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological diferences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantifcation of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
Published: 2022

17. Brain charts for the human lifespan (vol 604, pg 525, 2022)

Author: Bethlehem, RAI, Seidlitz, J, White, SR, Vogel, JW, Anderson, KM, Adamson, C, Adler, S, Alexopoulos, GS, Anagnostou, E, Areces-Gonzalez, A, Astle, DE, Auyeung, B, Ayub, M, Bae, J, Ball, G, Baron-Cohen, S, Beare, R, Bedford, SA, Benegal, V, Beyer, F, Blangero, J, Blesa Cabez, M, Boardman, JP, Borzage, M, Bosch-Bayard, JF, Bourke, N, Calhoun, VD, Chakravarty, MM, Chen, C, Chertavian, C, Chetelat, G, Chong, YS, Cole, JH, Corvin, A, Costantino, M, Courchesne, E, Crivello, F, Cropley, VL, Crosbie, J, Crossley, N, Delarue, M, Delorme, R, Desrivieres, S, Devenyi, GA, Di Biase, MA, Dolan, R, Donald, KA, Donohoe, G, Dunlop, K, Edwards, AD, Elison, JT, Ellis, CT, Elman, JA, Eyler, L, Fair, DA, Feczko, E, Fletcher, PC, Fonagy, P, Franz, CE, Galan-Garcia, L, Gholipour, A, Giedd, J, Gilmore, JH, Glahn, DC, Goodyer, IM, Grant, PE, Groenewold, NA, Gunning, FM, Gur, RE, Gur, RC, Hammill, CF, Hansson, O, Hedden, T, Heinz, A, Henson, RN, Heuer, K, Hoare, J, Holla, B, Holmes, AJ, Holt, R, Huang, H, Im, K, Ipser, J, Jack, CR, Jackowski, AP, Jia, T, Johnson, KA, Jones, PB, Jones, DT, Kahn, RS, Karlsson, H, Karlsson, L, Kawashima, R, Kelley, EA, Kern, S, Kim, KW, Kitzbichler, MG, Kremen, WS, Lalonde, F, Landeau, B, Lee, S, Lerch, J, Lewis, JD, Li, J, Liao, W, Liston, C, Lombardo, MV, Lv, J, Lynch, C, Mallard, TT, Marcelis, M, Markello, RD, Mathias, SR, Mazoyer, B, McGuire, P, Meaney, MJ, Mechelli, A, Medic, N, Misic, B, Morgan, SE, Mothersill, D, Nigg, J, Ong, MQW, Ortinau, C, Ossenkoppele, R, Ouyang, M, Palaniyappan, L, Paly, L, Pan, PM, Pantelis, C, Park, MM, Paus, T, Pausova, Z, Paz-Linares, D, Pichet Binette, A, Pierce, K, Qian, X, Qiu, J, Qiu, A, Raznahan, A, Rittman, T, Rodrigue, A, Rollins, CK, Romero-Garcia, R, Ronan, L, Rosenberg, MD, Rowitch, DH, Salum, GA, Satterthwaite, TD, Schaare, HL, Schachar, RJ, Schultz, AP, Schumann, G, Scholl, M, Sharp, D, Shinohara, RT, Skoog, I, Smyser, CD, Sperling, RA, Stein, DJ, Stolicyn, A, Suckling, J, Sullivan, G, Taki, Y, Thyreau, B, Toro, R, Traut, N, Tsvetanov, KA, Turk-Browne, NB, Tuulari, JJ, Tzourio, C, Vachon-Presseau, E, Valdes-Sosa, MJ, Valdes-Sosa, PA, Valk, SL, van Amelsvoort, T, Vandekar, SN, Vasung, L, Victoria, LW, Villeneuve, S, Villringer, A, Vertes, PE, Wagstyl, K, Wang, YS, Warfield, SK, Warrier, V, Westman, E, Westwater, ML, Whalley, HC, Witte, AV, Yang, N, Yeo, B, Yun, H, Zalesky, A, Zar, HJ, Zettergren, A, Zhou, JH, Ziauddeen, H, Zugman, A, Zuo, XN, Bullmore, ET, Alexander-Bloch, AF, Bethlehem, RAI, Seidlitz, J, White, SR, Vogel, JW, Anderson, KM, Adamson, C, Adler, S, Alexopoulos, GS, Anagnostou, E, Areces-Gonzalez, A, Astle, DE, Auyeung, B, Ayub, M, Bae, J, Ball, G, Baron-Cohen, S, Beare, R, Bedford, SA, Benegal, V, Beyer, F, Blangero, J, Blesa Cabez, M, Boardman, JP, Borzage, M, Bosch-Bayard, JF, Bourke, N, Calhoun, VD, Chakravarty, MM, Chen, C, Chertavian, C, Chetelat, G, Chong, YS, Cole, JH, Corvin, A, Costantino, M, Courchesne, E, Crivello, F, Cropley, VL, Crosbie, J, Crossley, N, Delarue, M, Delorme, R, Desrivieres, S, Devenyi, GA, Di Biase, MA, Dolan, R, Donald, KA, Donohoe, G, Dunlop, K, Edwards, AD, Elison, JT, Ellis, CT, Elman, JA, Eyler, L, Fair, DA, Feczko, E, Fletcher, PC, Fonagy, P, Franz, CE, Galan-Garcia, L, Gholipour, A, Giedd, J, Gilmore, JH, Glahn, DC, Goodyer, IM, Grant, PE, Groenewold, NA, Gunning, FM, Gur, RE, Gur, RC, Hammill, CF, Hansson, O, Hedden, T, Heinz, A, Henson, RN, Heuer, K, Hoare, J, Holla, B, Holmes, AJ, Holt, R, Huang, H, Im, K, Ipser, J, Jack, CR, Jackowski, AP, Jia, T, Johnson, KA, Jones, PB, Jones, DT, Kahn, RS, Karlsson, H, Karlsson, L, Kawashima, R, Kelley, EA, Kern, S, Kim, KW, Kitzbichler, MG, Kremen, WS, Lalonde, F, Landeau, B, Lee, S, Lerch, J, Lewis, JD, Li, J, Liao, W, Liston, C, Lombardo, MV, Lv, J, Lynch, C, Mallard, TT, Marcelis, M, Markello, RD, Mathias, SR, Mazoyer, B, McGuire, P, Meaney, MJ, Mechelli, A, Medic, N, Misic, B, Morgan, SE, Mothersill, D, Nigg, J, Ong, MQW, Ortinau, C, Ossenkoppele, R, Ouyang, M, Palaniyappan, L, Paly, L, Pan, PM, Pantelis, C, Park, MM, Paus, T, Pausova, Z, Paz-Linares, D, Pichet Binette, A, Pierce, K, Qian, X, Qiu, J, Qiu, A, Raznahan, A, Rittman, T, Rodrigue, A, Rollins, CK, Romero-Garcia, R, Ronan, L, Rosenberg, MD, Rowitch, DH, Salum, GA, Satterthwaite, TD, Schaare, HL, Schachar, RJ, Schultz, AP, Schumann, G, Scholl, M, Sharp, D, Shinohara, RT, Skoog, I, Smyser, CD, Sperling, RA, Stein, DJ, Stolicyn, A, Suckling, J, Sullivan, G, Taki, Y, Thyreau, B, Toro, R, Traut, N, Tsvetanov, KA, Turk-Browne, NB, Tuulari, JJ, Tzourio, C, Vachon-Presseau, E, Valdes-Sosa, MJ, Valdes-Sosa, PA, Valk, SL, van Amelsvoort, T, Vandekar, SN, Vasung, L, Victoria, LW, Villeneuve, S, Villringer, A, Vertes, PE, Wagstyl, K, Wang, YS, Warfield, SK, Warrier, V, Westman, E, Westwater, ML, Whalley, HC, Witte, AV, Yang, N, Yeo, B, Yun, H, Zalesky, A, Zar, HJ, Zettergren, A, Zhou, JH, Ziauddeen, H, Zugman, A, Zuo, XN, Bullmore, ET, and Alexander-Bloch, AF
Published: 2022

18. Brain charts for the human lifespan

Author: British Academy, Autism Research Trust, National Institute of Mental Health (US), UK Research and Innovation, Medical Research Council (UK), National Institute for Health and Care Research (US), Wellcome Trust, University of Cambridge, Cambridge Biomedical Research Centre, Bethlehem, Richard A. I., Seidlitz, J., White, S. R., Vogel, Jacob W., Anderson, K. M., Adamson, C., Adler, S., Alexopoulos, G. S., Anagnostou, E., Areces-González, A., Astle, D. E., Auyeung, Bonnie, Ayub, Muhammad, Bae, J., Ball, G, Baron-Cohen, Simon, Beare, R., Bedford, S. A., Benegal, V., Beyer, Frauke, Blangero, John, Blesa Cábez, M., Boardman, J. P., Borzage, M., Bosch-Bayard, J. F., Bourke, N., Calhoun, V. D., Chakravarty, M. M., Chen, C., Chertavian, C., Chetelat, G., Chong, Y. S., Cole, J. H., Corvin, Aiden, Costantino, M., Courchesne, E., Crivello, Fabrice, Cropley, V. L., Crosbie, J., Crossley, N., Delarue, M., Delorme, R., Desrivieres, Sylvane, Devenyi, G. A., Di Biase, M. A., Dolan, R., Donald, K. A., Donohoe, Gary, Dunlop, K., Edwards, A. D., Elison, J. T., Ellis, C. T., Elman, J. A., Eyler, L., Fair, D. A., Feczko, E., Fletcher, P. C., Fonagy, P., Franz, C. E., Galán-García, L., Gholipour, A., Giedd, J., Gilmore, J. H., Glahn, David C., Goodyer, I. M., Grant, P. E., Groenewold, Nynke A., Gunning, F. M., Gur, Rachel E., Gur, Ruben C., Hammill, C. F., Hansson, Oskar, Hedden, T., Heinz, Andreas, Henson, R. N., Heuer, K., Hoare, J., Holla, B., Holmes, Avram J., Holt, Rosemary, Huang, Hailiang, Im, K., Ipser, J., Jack, C. R., Jackowski, A. P., Jia, T., Johnson, K. A., Jones, P. B., Jones, David T. W., Kahn, René S., Karlsson, H., Karlsson, L., Kawashima, R., Kelley, E. A., Kern, Silke, Kim, K. W., Kitzbichler, M. G., Kremen, W. S., Lalonde, F., Landeau, B., Lee, S., Lerch, J., Lewis, J. D., Li, J., Liao, W., Liston, C., Lombardo, Michael, V., Lv, J., Lynch, Christopher D., Mallard, T. T., Marcelis, Machteld, Markello, R. D., Mathias, Samuel R., Mazoyer, Bernard, McGuire, Philip, Meaney, M. J., Mechelli, Andrea, Medic, N., Misic, B., Morgan, S. E., Mothersill, David O., Nigg, J., Ong, M. Q. W., Ortinau, C., Ossenkoppele, Rik, Ouyang, M., Palaniyappan, L., Paly, L., Pan, P. M., Pantelis, Christos, Park, M. M., Paus, Tomas, Pausova, Zdenka, Paz-Linares, D., Pichler, Alexander, Pierce, K., Qian, X., Qiu, Jing, Qiu, A., Raznahan, A., Rittman, T., Rodrigue, A., Rollins, C. K., Romero García, Rafael, Ronan, L., Rosenberg, M. D., Rowitch, D. H., Salum, G. A., Satterthwaite, Theodore D., Schaare, H. L., Schachar, R. J., Schultz, A. P., Schumann, Gunter, Schöll, Michael, Sharp, D., Shinohara, R. T., Skoog, Ingmar, Smyser, C. D., Sperling, R. A., Stein, Dan J., Stolicyn, A., Suckling, John, Sullivan, G., Taki, Y., Thyreau, B., Toro, Raquel del, Traut, N., Tsvetanov, K. A., Turk-Browne, N. B., Tuulari, J. J., Tzourio, C., Vachon-Presseau, É., Valdes-Sosa, M. J., Valdes-Sosa, P. A., Valk, Sofie L., van Amelsvoort, Therese, Vandekar, S. N., Vasung, L., Victoria, L. W., Villeneuve, S., Villringer, Arno, Vértes, P. E., Wagstyl, K., Wang, Y. S., Warfield, S. K., Warrier, V., Westman, Eric, Westwater, M. L., Whalley, Heather, Witte, A. Veronica, Yang, N., Yeo, B., Yun, H., Zalesky, A., Zar, H. J., Zettergren, Anna, Zhou, J. H., Ziauddeen, H., Zugman, A., Zuo, X. N., Bullmore, E. T., Alexander-Bloch, A. F., British Academy, Autism Research Trust, National Institute of Mental Health (US), UK Research and Innovation, Medical Research Council (UK), National Institute for Health and Care Research (US), Wellcome Trust, University of Cambridge, Cambridge Biomedical Research Centre, Bethlehem, Richard A. I., Seidlitz, J., White, S. R., Vogel, Jacob W., Anderson, K. M., Adamson, C., Adler, S., Alexopoulos, G. S., Anagnostou, E., Areces-González, A., Astle, D. E., Auyeung, Bonnie, Ayub, Muhammad, Bae, J., Ball, G, Baron-Cohen, Simon, Beare, R., Bedford, S. A., Benegal, V., Beyer, Frauke, Blangero, John, Blesa Cábez, M., Boardman, J. P., Borzage, M., Bosch-Bayard, J. F., Bourke, N., Calhoun, V. D., Chakravarty, M. M., Chen, C., Chertavian, C., Chetelat, G., Chong, Y. S., Cole, J. H., Corvin, Aiden, Costantino, M., Courchesne, E., Crivello, Fabrice, Cropley, V. L., Crosbie, J., Crossley, N., Delarue, M., Delorme, R., Desrivieres, Sylvane, Devenyi, G. A., Di Biase, M. A., Dolan, R., Donald, K. A., Donohoe, Gary, Dunlop, K., Edwards, A. D., Elison, J. T., Ellis, C. T., Elman, J. A., Eyler, L., Fair, D. A., Feczko, E., Fletcher, P. C., Fonagy, P., Franz, C. E., Galán-García, L., Gholipour, A., Giedd, J., Gilmore, J. H., Glahn, David C., Goodyer, I. M., Grant, P. E., Groenewold, Nynke A., Gunning, F. M., Gur, Rachel E., Gur, Ruben C., Hammill, C. F., Hansson, Oskar, Hedden, T., Heinz, Andreas, Henson, R. N., Heuer, K., Hoare, J., Holla, B., Holmes, Avram J., Holt, Rosemary, Huang, Hailiang, Im, K., Ipser, J., Jack, C. R., Jackowski, A. P., Jia, T., Johnson, K. A., Jones, P. B., Jones, David T. W., Kahn, René S., Karlsson, H., Karlsson, L., Kawashima, R., Kelley, E. A., Kern, Silke, Kim, K. W., Kitzbichler, M. G., Kremen, W. S., Lalonde, F., Landeau, B., Lee, S., Lerch, J., Lewis, J. D., Li, J., Liao, W., Liston, C., Lombardo, Michael, V., Lv, J., Lynch, Christopher D., Mallard, T. T., Marcelis, Machteld, Markello, R. D., Mathias, Samuel R., Mazoyer, Bernard, McGuire, Philip, Meaney, M. J., Mechelli, Andrea, Medic, N., Misic, B., Morgan, S. E., Mothersill, David O., Nigg, J., Ong, M. Q. W., Ortinau, C., Ossenkoppele, Rik, Ouyang, M., Palaniyappan, L., Paly, L., Pan, P. M., Pantelis, Christos, Park, M. M., Paus, Tomas, Pausova, Zdenka, Paz-Linares, D., Pichler, Alexander, Pierce, K., Qian, X., Qiu, Jing, Qiu, A., Raznahan, A., Rittman, T., Rodrigue, A., Rollins, C. K., Romero García, Rafael, Ronan, L., Rosenberg, M. D., Rowitch, D. H., Salum, G. A., Satterthwaite, Theodore D., Schaare, H. L., Schachar, R. J., Schultz, A. P., Schumann, Gunter, Schöll, Michael, Sharp, D., Shinohara, R. T., Skoog, Ingmar, Smyser, C. D., Sperling, R. A., Stein, Dan J., Stolicyn, A., Suckling, John, Sullivan, G., Taki, Y., Thyreau, B., Toro, Raquel del, Traut, N., Tsvetanov, K. A., Turk-Browne, N. B., Tuulari, J. J., Tzourio, C., Vachon-Presseau, É., Valdes-Sosa, M. J., Valdes-Sosa, P. A., Valk, Sofie L., van Amelsvoort, Therese, Vandekar, S. N., Vasung, L., Victoria, L. W., Villeneuve, S., Villringer, Arno, Vértes, P. E., Wagstyl, K., Wang, Y. S., Warfield, S. K., Warrier, V., Westman, Eric, Westwater, M. L., Whalley, Heather, Witte, A. Veronica, Yang, N., Yeo, B., Yun, H., Zalesky, A., Zar, H. J., Zettergren, Anna, Zhou, J. H., Ziauddeen, H., Zugman, A., Zuo, X. N., Bullmore, E. T., and Alexander-Bloch, A. F.
Abstract: Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
Published: 2022

19. Standardising definitions for the pre-eclampsia core outcome set: A consensus development study

Author: Duffy, J. M. N., Cairns, A. E., Magee, L. A., von Dadelszen, P., van 't Hooft, J., Gale, C., Brown, M., Chappell, L. C., Grobman, W. A., Fitzpatrick, R., Karumanchi, S. A., Lucas, D. N., Mol, B., Stark, M., Thangaratinam, S., Wilson, M. J., Williamson, P. R., Ziebland, S., Mcmanus, R. J., Abalos, E. J., Adamson, C. C. D., Akadri, A. A., Akturk, Z., Allegaert, K., Angel-Muller, E., Antretter, J., Ashdown, H. F., Audibert, F., Auger, N., Aygun, C., Babic, I., Bagga, R., Baker, J. M., Beebeejaun, Y., Bhakta, P., Bhandari, V., Bhattacharya, S., Blanker, M. H., Bloomfield, F. H., Bof, A., Brennan, S. M., Broekhuijsen, K., Broughton Pipkin, F., Browne, J. L., Browning, R. M., Bull, J. W., Butt, A., Button, D., Campbell, J. P., Campbell, D. M., Carbillon, L., Carthy, S., Casely, E., Cave, J. A., Cecatti, J. G., Chamillard, M. E., Chassard, D., Checheir, N. C., Chulkov, V. S., Cluver, C. A., Crawford, C. F., Daly, M. C., Darmochwal-Kolarz, D. A., Davies, R. E., Davies, M. W., Dawson, J. S., Dobson, N., Dodd, C. N., Donald, F., Duley, L., Epstein-Mares, J., Erez, O., Evans, E., Farlie, R. N., Ferris, A. V., Frankland, E. M., Freeman, D. J., Gainder, S., Ganzevoort, W., Gbinigie, O. A., Gerval, M. -O., Ghosh, S. K., Gingel, L. J., Glogowska, M., Goodlife, A., Gough, K. L., Green, J. R., Gul, F., Haggerty, L., Hall, D. R., Hallman, M., Hamilton, L. M., Hammond, S. J., Harlow, S. D., Hays, K. E., Hickey, S. C., Higgins, M., Hinton, L., Hobson, S. R., Hogg, M. J., Hollands, H. J., Homer, C. S. E., Hoodbhoy, Z., Howell, P., Huppertz, B., Husain, S., Jacoby, S. D., Jacqz-Aigrain, E., Jenkins, G., Jewel, D., Johnson, M. J., Johnston, C. L., Jones, P. M., Kantrowitz-Gordon, I., Khan, R. -U., Kirby, L. J., Kirk, C., Knight, M., Korey, M. T., Lee, G. J., Lee, V. W., Levene, L. S., Londero, A. P., Lust, K. M., Mackenzie, V., Malha, L., Mattone, M., Mccartney, D. E., Mcfadden, A., Mckinstry, B. H., Middleton, P. F., Mills, D. J., Mistry, H. D., Mitchell, C. A., Mockler, J. C., Molsher, S. -A., Monast, E. S., Moodley, J., Mooij, R., Moore, E. L., Morgan, L., Moulson, A., Mughal, F., Mundle, S. R., Munoz, M. A., Murray, E., Nagata, C., Nair, A. S., Nakimuli, A., Nath, G., Newport, R. S., Oakeshott, P., Ochoa-Ferraro, M. R., Odendaal, H., Ohkuchi, A., Oliveira, L., Ortiz-Panozo, E., Oudijk, M. A., Oygucu, S. E., Paech, M. J., Painter, R. C., Parry, C. L., Payne, B. A., Pearson, E. L., Phupong, V., Pickett, N., Pickles, K. A., Plumb, L. K., Prefumo, F., Preston, R., Ray, J. G., Rayment, J., Regan, L. V., Rey, E., Robson, E. J., Rubin, A. N., Rubio-Romero, J. A., Rull, K., Sass, N., Sauve, N., Savory, N. A., Scott, J. R., Seaton, S. E., Seed, P. T., Shakespeare, J. M., Shand, A. W., Sharma, S., Shaw, T. Y., Smedley, K. L., Smith, D., Smith Conk, A., Soward, D., Stepan, H., Stroumpoulis, K., Surendran, A., Takeda, S., Tan, L., Theriot, B. S., Thomas, H. F., Thompson, K., Thompson, P. I., Thompson, M. J., Toms, L., Torney, K. L. H. T., Treadwell, J. S., Tucker, K. L., Turrentine, M. A., Van Hecke, O., Van Oostwaard, M. F., Vasquez, D. N., Vaughan, D. J. A., Vinturache, A., Walker, J., Wardle, S. P., Wasim, T., Waters, J. H., Whitehead, C. L., Wolfson, A., Yeo, S., Zermansky, A. G., (iHOPE), International Collaboration to Harmonise Outcomes for Pre-eclampsia, Life Course Epidemiology (LCE), University of Oxford, University College London, King’s College London, Academic Medical Center, Imperial College London, St George Hospital and University of New South Wales, Northwestern University, Cedars-Sinai Medical Center, London North West University Healthcare NHS Trust, Monash University, University of Adelaide, Barts and The London School of Medicine and Dentistry, University of Sheffield, University of Liverpool, Centro Rosarino de Estudios Perinatales, Chelsea and Westminster Hospital NHS Foundation Trust, Babcock University, Ailem Academic Counselling, KU Leuven, Universidad Nacional de Colombia, Northwell Health, Université de Montréal, University of Montreal Hospital Centre, Ondokuz Mayıs University, Prince Sultan Military Medical City, Postgraduate Institute of Medical Education and Research, Fetal Medicine Research Institute, University Hospital Limerick, Drexel University, University of Aberdeen, University of Groningen, University of Auckland, Haaglanden Medisch Centrum, Nottingham University Medical School, Utrecht University, King Edward Memorial Hospital for Women, Imperial College Healthcare NHS Trust, Jean-Verdier Hospital, Downland Practice, Universidade Estadual de Campinas (UNICAMP), Université Lyon, University of North Carolina School of Medicine, South Ural State Medical University, Stellenbosch University, Irish Neonatal Health Alliance, University of Rzeszow, Royal Brisbane and Women’s Hospital, Nottingham University Hospitals NHS Trust, University Hospitals of Leicester, North Bristol NHS Trust, University of Nottingham, Soroka University Medical Center Ben Gurion University of the Negev, St George’s University Hospitals NHS Foundation Trust, Hospitalsenhed Midt, University of Glasgow, Amsterdam Universitair Medische Centra, All India Institute of Medical Sciences Patna, Luton and Dunstable University Hospital, Khyber Medical University Institution of Medical Sciences, Midwife Mid Essex Hospitals NHS Trust, University of Oulu, University of Michigan, Bastyr University, Irish Nurses and Midwives Organisation, University of Toronto, Barts Health NHS Trust, University Hospitals Plymouth NHS Trust, Burnet Institute, Aga Khan University, Medical University of Graz, Homerton University Hospital NHS Foundation Trust, Mount Royal University, Université de Paris, Royal Surrey County Hospital, University Hospital Southampton NHS Foundation Trust, University of Washington School of Nursing, Evelina London Children's Hospital Neonatal Unit, University of Sydney, University of Leicester, Academic Hospital of Udine, NHS Borders, Weill Cornell Medical College, University of Dundee, University of Edinburgh, South Australian Health and Medical Research Institute, Monash University and Monash Health, United Lincolnshire Hospitals NHS Trust, University of Kwa Zulu-Natal, Beatrix Hospital, Keele University, Government Medical College, Institut Catala de la Salut. IdiapJgol, National Center for Child Health and Development, Basavatarakam Indo-American Cancer Hospital and Research Institute, Axon Anaesthesia Associates, Pennine Acute Hospitals NHS Trust, University of London, Norfolk and Norwich University Hospital, Jichi Medical University School of Medicine, Universidade Estadual Paulista (UNESP), National Institute of Public Health, University of Kyrenia, King Edward Memorial Hospital, Amsterdam University Centres, University of British Columbia, Chulalongkorn University, University of Brescia, University Of British Columbia, University of Montreal, Women's Clinic of Tartu University Hospital, Universidade Federal de São Paulo (UNIFESP), Université de Sherbrooke, University Hospital of Wales, University of Iowa, King's College London, Westmead Hospital, Princess Royal Maternity, Leipzig University, Centre Hospitalier Public du Cotentin, Lewisham and Greenwich NHS Trust, Juntendo University Faculty of Medicine, Western Sydney University, National Institute of Health Research, University of Washington, Baylor College of Medicine, Capelle aan den Ijssel, Sanatorio Anchorena, Oxford University Hospitals NHS Foundation Trust, University of Leeds, Institute of Medical Sciences, UPMC Magee Womens Hospital, Penn Medicine Princeton Health, University of North Carolina at Chapel Hill, and Obstetrics and Gynaecology
Subjects: Adult, medicine.medical_specialty, Consensus, Delphi Technique, Standardization, Birth weight, Psychological intervention, Randomised controlled trials, 030204 cardiovascular system & hematology, Outcome (game theory), 03 medical and health sciences, Hypertension in pregnancy, Outcome measure, 0302 clinical medicine, Pre-Eclampsia, Pregnancy, Consensus development study, Internal Medicine, medicine, Humans, Set (psychology), 030219 obstetrics & reproductive medicine, Eclampsia, business.industry, Pregnancy Outcome, Obstetrics and Gynecology, Core outcome set, Reference Standards, medicine.disease, Pre-eclampsia, Pregnancy Complications, Core (game theory), Treatment Outcome, Systematic review, Family medicine, 1114 Paediatrics and Reproductive Medicine, Female, International Collaboration to Harmonise Outcomes for Pre-eclampsia (iHOPE), business
Abstract: Made available in DSpace on 2022-04-28T19:29:02Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-07-01 Medical Research Council Canada National Institute for Health Research Objectives: To develop consensus definitions for the core outcome set for pre-eclampsia. Study design: Potential definitions for individual core outcomes were identified across four formal definition development initiatives, nine national and international guidelines, 12 Cochrane systematic reviews, and 79 randomised trials. Eighty-six definitions were entered into the consensus development meeting. Ten healthcare professionals and three researchers, including six participants who had experience of conducting research in low- and middle-income countries, participated in the consensus development process. The final core outcome set was approved by an international steering group. Results: Consensus definitions were developed for all core outcomes. When considering stroke, pulmonary oedema, acute kidney injury, raised liver enzymes, low platelets, birth weight, and neonatal seizures, consensus definitions were developed specifically for low- and middle-income countries because of the limited availability of diagnostic interventions including computerised tomography, chest x-ray, laboratory tests, equipment, and electroencephalogram monitoring. Conclusions: Consensus on measurements for the pre-eclampsia core outcome set will help to ensure consistency across future randomised trials and systematic reviews. Such standardization should make research evidence more accessible and facilitate the translation of research into clinical practice. Video abstract can be available at: www.dropbox.com/s/ftrgvrfu0u9glqd/6.%20Standardising%20definitions%20in%20teh%20pre-eclampsia%20core%20outcome%20set%3A%20a%20consensus%20development%20study.mp4?dl=0. Nuffield Department of Primary Care Health Sciences University of Oxford Institute for Women’s Health University College London Department of Women and Children’s Health School of Life Course Sciences King’s College London Department of Obstetrics and Gynecology Amsterdam UMC Academic Medical Center Academic Neonatal Medicine Imperial College London Department of Renal Medicine St George Hospital and University of New South Wales Department of Obstetrics and Gynaecology Feinberg School of Medicine Northwestern University Health Services Research Unit Nuffield Department of Population Health University of Oxford Cedars-Sinai Medical Center London North West University Healthcare NHS Trust Women’s Health Care Research Group Department of Obstetrics and Gynaecology Monash University Department of Obstetrics and Gynaecology University of Adelaide Women’s Health Research Unit Barts and The London School of Medicine and Dentistry School of Health and Related Research University of Sheffield MRC North West Hub for Trials Methodology Research Department of Biostatistics University of Liverpool Centro Rosarino de Estudios Perinatales Chelsea and Westminster Hospital NHS Foundation Trust Babcock University Ailem Academic Counselling KU Leuven Universidad Nacional de Colombia Northwell Health University of Oxford Université de Montréal University of Montreal Hospital Centre Ondokuz Mayıs University Prince Sultan Military Medical City Postgraduate Institute of Medical Education and Research King's Fertility Fetal Medicine Research Institute University Hospital Limerick Drexel University University of Aberdeen University of Groningen University of Auckland Haaglanden Medisch Centrum Nottingham University Medical School Utrecht University King Edward Memorial Hospital for Women Imperial College Healthcare NHS Trust Jean-Verdier Hospital Downland Practice University of Campinas Université Lyon University of North Carolina School of Medicine South Ural State Medical University Stellenbosch University Irish Neonatal Health Alliance University of Rzeszow Royal Brisbane and Women’s Hospital Nottingham University Hospitals NHS Trust University Hospitals of Leicester North Bristol NHS Trust University of Nottingham Soroka University Medical Center Ben Gurion University of the Negev St George’s University Hospitals NHS Foundation Trust Hospitalsenhed Midt University of Glasgow Amsterdam Universitair Medische Centra All India Institute of Medical Sciences Patna Luton and Dunstable University Hospital Khyber Medical University Institution of Medical Sciences Midwife Mid Essex Hospitals NHS Trust University of Oulu University of Michigan Bastyr University Irish Nurses and Midwives Organisation University of Toronto Barts Health NHS Trust University Hospitals Plymouth NHS Trust Burnet Institute Aga Khan University Medical University of Graz Homerton University Hospital NHS Foundation Trust Mount Royal University Université de Paris Royal Surrey County Hospital University Hospital Southampton NHS Foundation Trust University of Washington School of Nursing Evelina London Children's Hospital Neonatal Unit University of Sydney University of Leicester Academic Hospital of Udine NHS Borders Weill Cornell Medical College University of Dundee University of Edinburgh South Australian Health and Medical Research Institute University of Sheffield Monash University and Monash Health United Lincolnshire Hospitals NHS Trust University of Kwa Zulu-Natal Beatrix Hospital Keele University Government Medical College Institut Catala de la Salut. IdiapJgol University College London National Center for Child Health and Development Basavatarakam Indo-American Cancer Hospital and Research Institute Axon Anaesthesia Associates Pennine Acute Hospitals NHS Trust St George's University of London Norfolk and Norwich University Hospital Jichi Medical University School of Medicine São Paulo State University National Institute of Public Health University of Kyrenia King Edward Memorial Hospital Amsterdam University Centres University of British Columbia Chulalongkorn University University of Brescia University Of British Columbia University of Montreal Women's Clinic of Tartu University Hospital Universidade Federal de São Paulo Université de Sherbrooke University Hospital of Wales University of Iowa King's College London Westmead Hospital Princess Royal Maternity Leipzig University Centre Hospitalier Public du Cotentin Lewisham and Greenwich NHS Trust Juntendo University Faculty of Medicine Western Sydney University National Institute of Health Research University of Washington Baylor College of Medicine Capelle aan den Ijssel Sanatorio Anchorena Oxford University Hospitals NHS Foundation Trust University of Leeds Institute of Medical Sciences UPMC Magee Womens Hospital Penn Medicine Princeton Health University of North Carolina at Chapel Hill São Paulo State University
Published: 2020

20. Brain charts for the human lifespan

Author: Bethlehem, Richard A. I., Seidlitz, Jakob, White, S. R., Vogel, J. W., Anderson, K. M., Adamson, C., Romero García, Rafael, Alexander-Bloch, Aaron F., and Universidad de Sevilla. Departamento de Fisiología Médica y Biofísica
Subjects: Neurological and psychiatric disorders, Brain charts, Human lifespan
Abstract: Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual diferences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1 . Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data (http://www.brainchart.io/). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantifed by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identifed previously unreported neurodevelo pmental milestones3 , showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological diferences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantifcation of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
Published: 2022

21. Elevated markers of liver function are associated with poorer outcomes in HFREF: an analysis of DAPA-HF

Author: Cowan, L, primary, Adamson, C, additional, Docherty, K, additional, Inzucchi, S, additional, Koeber, L, additional, Kosiborod, M, additional, Martinez, F, additional, Ponikowski, P, additional, Sabatine, M, additional, Solomon, S, additional, Bengtsson, O, additional, Sjostrand, M, additional, Langkilde, A, additional, Jhund, P, additional, and McMurray, J, additional
Published: 2021
Full Text: View/download PDF

22. Evaluation of measures to improve the performance of an open loop ground source heat pump system in the chalk aquifer: a case study

Author: Birks, D., primary, Adamson, C., additional, Woods, M. G., additional, and Holmes, G., additional
Published: 2021
Full Text: View/download PDF

23. Differences in the association between the 2018 ACGIH TLV for Hand Activity and carpal tunnel syndrome by gender and age

Author: Harris-Adamson, C, primary, Meyers, A, additional, Bonfiglioli, R, additional, Kapellusch, J, additional, Dale, AM, additional, Thiese, M, additional, Fethke, N, additional, Eisen, EA, additional, Bao, S, additional, Evanoff, B, additional, Hegmann, K, additional, Gerr, F, additional, Violante, FS, additional, and Rempel, D, additional
Published: 2021
Full Text: View/download PDF

24. Automatic Intracranial Space Segmentation for Computed Tomography Brain Images

Author: Adamson, C., Da Costa, A. C., Beare, R., and Wood, A. G.
Published: 2013
Full Text: View/download PDF

25. Schanz's Collation of the Bodleian Plato

Author: Adamson, C. S.
Published: 1893

26. Investigating the brain structural connectome following working memory training in children born extremely preterm or extremely low birth weight

Author: Kelly, CE, Harding, R, Lee, KJ, Pascoe, L, Josev, EK, Spencer-Smith, MM, Adamson, C, Beare, R, Nosarti, C, Roberts, G, Doyle, LW, Seal, ML, Thompson, DK, Anderson, PJ, Kelly, CE, Harding, R, Lee, KJ, Pascoe, L, Josev, EK, Spencer-Smith, MM, Adamson, C, Beare, R, Nosarti, C, Roberts, G, Doyle, LW, Seal, ML, Thompson, DK, and Anderson, PJ
Abstract: Children born extremely preterm (EP, <28 weeks' gestation) or extremely low birth weight (ELBW, <1,000 g) are a vulnerable population at high risk of working memory impairments. We aimed to examine changes in the brain structural connectivity networks thought to underlie working memory performance, after completion of a working memory training program (Cogmed) compared with a placebo program in EP/ELBW children. This was a double-blind, placebo-controlled randomized trial (the Improving Memory in a Preterm Randomised Intervention Trial). Children born EP/ELBW received either the Cogmed or placebo program at 7 years of age (n = 91). A subset of children had magnetic resonance imaging of the brain immediately pre- and 2 weeks post-training (Cogmed n = 28; placebo n = 27). T1 -weighted and diffusion-weighted images were used to perform graph theoretical analysis of structural connectivity networks. Changes from pre-training to post-training in structural connectivity metrics were generally similar between randomized groups. There was little evidence that changes in structural connectivity metrics were related to changes in working memory performance from pre- to post-training. Overall, our results provide little evidence that the Cogmed working memory training program has training-specific effects on structural connectivity networks in EP/ELBW children.
Published: 2021

27. White matter tracts related to memory and emotion in very preterm children

Author: Kelly, CE, Thompson, DK, Cooper, M, Pham, J, Nguyen, TD, Yang, JYM, Ball, G, Adamson, C, Murray, AL, Chen, J, Inder, TE, Cheong, JLY, Doyle, LW, Anderson, PJ, Kelly, CE, Thompson, DK, Cooper, M, Pham, J, Nguyen, TD, Yang, JYM, Ball, G, Adamson, C, Murray, AL, Chen, J, Inder, TE, Cheong, JLY, Doyle, LW, and Anderson, PJ
Abstract: BACKGROUND: Very preterm (VP) children are at risk of memory and emotional impairments; however, the neural correlates remain incompletely defined. This study investigated the effect of VP birth on white matter tracts traditionally related to episodic memory and emotion. METHODS: The cingulum, fornix, uncinate fasciculus, medial forebrain bundle and anterior thalamic radiation were reconstructed using tractography in 144 VP children and 33 full-term controls at age 7 years. RESULTS: Compared with controls, VP children had higher axial, radial, and mean diffusivities and neurite orientation dispersion, and lower volume and neurite density in the fornix, along with higher neurite orientation dispersion in the medial forebrain bundle. Support vector classification models based on tract measures significantly classified VP children and controls. Higher fractional anisotropy and lower diffusivities in the cingulum, uncinate fasciculus, medial forebrain bundle and anterior thalamic radiation were associated with better episodic memory, independent of key perinatal risk factors. Support vector regression models using tract measures did not predict episodic memory and emotional outcomes. CONCLUSIONS: Altered tract structure is related to adverse episodic memory outcomes in VP children, but further research is required to determine the ability of tract structure to predict outcomes of individual children. IMPACT: We studied white matter fibre tracts thought to be involved in episodic memory and emotion in VP and full-term children using diffusion magnetic resonance imaging and machine learning. VP children have altered fornix and medial forebrain bundle structure compared with full-term children. Altered tract structure can be detected using machine learning, which accurately classified VP and full-term children using tract data. Altered cingulum, uncinate fasciculus, medial forebrain bundle and anterior thalamic radiation structure was associated with poorer episodic memory
Published: 2021

28. Recovery of platelet reactivity following cessation of either aspirin or ticagrelor in patients treated with dual antiplatelet therapy following percutaneous coronary intervention : a GLOBAL LEADERS substudy

Author: Hennigan, B.W., Good, R., Adamson, C., Parker, W.A.E., Martin, L., Anderson, L., Campbell, M., Serruys, P.W., Storey, R.F., and Oldroyd, K.G.
Abstract: Cessation of one component of dual antiplatelet therapy (DAPT) following percutaneous coronary intervention (PCI) has been associated with increased risk of ischemic events but it is uncertain whether discontinuation of aspirin is preferable to discontinuation of the oral P2Y12 inhibitor. The GLOBAL LEADERS study compared two antiplatelet strategies following PCI, cessation of aspirin at 1 month with continued ticagrelor monotherapy for 23 months versus standard DAPT for 12 months followed by aspirin monotherapy for a further 12 months. We assessed recovery of platelet reactivity after withdrawal of either aspirin or ticagrelor at 1 month and 12 months, respectively, in this study. Platelet aggregation (PA) was assessed before cessation of DAPT (‘baseline’) and after 2, 7, and 14 days post-cessation using Multiplate whole-blood aggregometry with collagen, thrombin-receptor-activating peptide (TRAP), adenosine diphosphate (ADP) and arachidonic acid (AA) as agonists. Following cessation of aspirin at 1 month, there was marked recovery of PA induced by AA (baseline [mean ± SD]: 11.1 ± 7.4 U vs. 14 days: 64.9 ± 19.6 U, p < .0001) and collagen (37.4 ± 22.9 U vs. 79.8 ± 13.8 U, p < .0001), whereas PA induced by ADP (18.6 ± 6.6 vs. 69.1 ± 20.5, p < .0001) and collagen (34.4 ± 18.7 U vs. 43.0 ± 21.0, p = .0018) recovered following cessation of ticagrelor at 12 months. There were no significant changes in TRAP-induced PA in either group. In conclusion, cessation of either component of DAPT leads to substantial increase in platelet reactivity with differential effects on different pathways of platelet activation when aspirin or the P2Y12 inhibitor is stopped. Further work is required to determine which patients receive net benefit from long-term continuation of DAPT.
Published: 2020

29. A commentary on climate change, stone decay dynamics and the ‘greening’ of natural stone buildings: new perspectives on ‘deep wetting’

Author: Smith, B. J., McCabe, S., McAllister, D., Adamson, C., Viles, H. A., and Curran, J. M.
Published: 2011
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30. HPV DNA is Associated with a Subset of Schneiderian Papillomas but Does not Correlate with p16INK4a Immunoreactivity

Author: Shah, A. A., Evans, M. F., Adamson, C. S.-C., Peng, Z., Rajendran, V., and Cooper, K.
Published: 2010
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31. Evolving complaint procedures

Author: Adamson, C.
Published: 1993
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32. General anaesthetic and airway management practice for obstetric surgery in England: a prospective, multicentre observational study

Author: Odor, P. M., Bampoe, S., Moonesinghe, S. R., Andrade, J., Pandit, J. J., Lucas, D. N., A’Court, A., Abdel-Gadir, D., Abdu, A., Abisogun, C., Aboud, Z., Abrams, J., Ackerman, A., Adamson, C., Addison, R., Adeyeye, A., Adler, R., Aduse-Poku, M., Adyanthaya, S., Ahmad, N., Ahmed, D., Ahmed, A., Akindele, B., Akindele, O., Akrimi, S., Al-Rawi, S., Ali, Y., Allam, J., Allana, A., Allen, K., Allen, O., Amaradasa, N., Amarasekara, L., Amoakwa-adu, F., Anandageetha, P., Anandakrishnan, S., Anandanadesan, R., Anderson, M., Apps, S., Aquilina, A., Arbane, G., Arch, A., Armstrong, S., Arya, R., Ashiru, G., Ashpole, K., Atkinson, C., Atkinson, F., Auer, E., Avery, B., Babio-Galan, M., Bader, H., Badham, G., Bagchi, S., Bailey, S., Baird, Y., Balaka, C., Baldwin, M., Balfour, P., Bali, S., Banks, S., Barclay, P., Barnes, L., Barnes, T., Barot, N., Barrett, S., Barrett, V., Barrett, K., Bates, L., Batte, K., Baytug, B., Behravesh, M., Bell, S., Benloch, R., Bentley, R., Berg, J., Berwick, C., Berwick, R., Bhadange, R., Bhattacharyya, S., Bielskute, E., Birch, S., Bird, S., Bird, Ruth, Birts, William, Black, Becky, Blagova, Tatyana, Blake, Holly, Blightman, Oliver, Blunden, Susara, Bolton, R., Borkett-Jones, C., Boselli, J., Bowen, M., Bowen, R., Bowyer, J., Boyle, H., Brar, Z., Bray, J., Brayshaw, S., Bressington, C., Brewer, A., Brice, N., Bridge, L., Briscoe, J., Brocklesby, S., Brown, H., Brown, S., Brunnen, D., Burijintichenna, K., Burnard, S., Burtt, A., Buswell, V., Bykar, H., Cairney, M., Calvert, C., Camarasa, L., Campbell, N., Campbell-Jones, F., Cantliffe, J., Carrol, W., Carvalho, J., Cashell, C., Cassie, S., Cassim, K., Chandler, M., Chapman, R., Charles, R., Chen, P., Cheyne, D., Chima, K., Chin, F., Chirvasuta, R., Shao Chong, M., Choudhury, S., Chowdhury, P., Christmas, T., Chughwani, S., Ciechanowicz, S., Clarey, E., Coe, R., Cohen, J., Coker, N., Collins, K., Collis, L., Comar, J., Conroy, M., Constantin, K., Corfe, J., Coulborn, E., Cowie, V., Crone, R., Cronin, J., Crooks, J., Crowther, N., Crowther, E., Cruz, C., Curtis, A., Curtis, S., Dabrowicz, A., Daines, N., Dalal, V., Dannatt, P., Das, D., Dash, J., Davidson, K., Davies, S., Davis, Y., Dawson, J., Dean, J., Dean, C., Denman, J., Desai, N., Dewan, P., Dimont, S., Donovan, C., Doraiswami, M., Doughty, K., Douglass, J., Dower, M., Downing, S., Duberry, W., Duckham, E., Dudgeon, L., Dukes, S., Dunn, L., Duraiswamy, V., Dwyer, A. O., Dyer, K., Eapen, S., Earl, M., Eason, S., Edwards, K., Edwards, Z., Egole, O., Ekpa, J., el-Amin, O., el-Boghdadly, K., Elbasir, O., Eldridge, J., Elgie, L., Ellington, M., Elliott, K., Elliott, J., Elmi, M., Elnoumeir, R., Emeakaraoha, E., Evans, M., Everett, M., Fabb, P., Farooq, H., Farrimond, R., Faulds, F., Fawcett, E., Feneley, A., Fernando, D., Ferns, J., Finlay, C., Fitzgerald, S., O’Flaherty, D., Fleet, M., Fletcher, L., Fludder, V., Follet, T., Forbes, J., Forth, M., Foster, G., Francis, J., Fraser, K., Friedman, L., Fruggeri, L., Fulton, L., Funnell, S., Gadre, A., Gandhi, A., Gardiner, H., Garner, Z., Garvey, G., Gately, T., George, R., Gillespie, S., Glover, S., Goddard, J., Goodman, B., Gopal, T., Graham, G., Green, D., Griffin, D., Griffith, J., Grigsby, S., Grindey, J., Griffiths, H., Groome, J., Grother, C., Grounds, G., Groves, A., Guha, A., Gunawardhana, A., Gupta, A., Gupta, R., Gutsell, J., Haddon, R., Hadi, D., Hadjipavlou, N., Hammerbeck, H., Hammon, L., Hammond, S., Hampanna, H., Hancock, H., Handapangoda, H., Haroon-Mowahed, Y., Harpham, D., Harris, G., Harrison, A., Harshan, D., Hartopp, A., Harty, E., Haslam, N., Hawkins, G., Hawkins, E., Hawksey, S., Hays, C., Hazelton, T., Heavyside, A., Hemeson, C., Henderson, K., Henry, O., Herbert, L., Higgins, N., Hilton, J., Hindmoor, C., Hitchcock, R., Hobbs, L., Homsy, M., Honeywell, C., Hoque, N., House, K., Howle, R., Tiller, A., Huniak, M., Hunte, J., Husain, T., Huson, C., Hussain, C., Hussain, T., Hussein, Z., Hyams, J., Hyde, E., Laverdino, M., Ignacka, A., Innes, E., Ioannidis, S., Iqbal, R., Ismail, F., Jackson, J., Jackson, M., Jackson, G., Jacobs, R., Jadhav, P., Jalaly, A., James, L., James, M., Jani, S., Jeganathan, C., Joannides, C., Johnson, R., Johnson, T., Johnston, C., Jones, R., Jones, T., Kadr, M., Kainth, R., Kane, J., Kanji, R., Kannanparambil, S., Kar, G., Kasianandan, T., Kaskos, H., Kavanagh, L., Kaye, R., Kelliher, L., Kelliot, S., Kelly, J., Kenyon, C., Kessack, L., Kestner, S., Khaku, M., Khaleeq, S., Khan, P., Khan, S., Kidwai, U., King, C., King, H., Kingston, E., Kok, W., Konig, R., Konstantinova, Z., Krishnan, P., Kua, J., Kuntumalla, K., Kursumovic, E., Kurzatkowski, K., Kuttambakam, H., Lane, K., Lane, S., Langton, A., Latif, H., Lau, N., Laxman, S., Laycock, H., Lee, R., Leonardi, S., Light, K., Lightfoot, H., Liu, S., Liyanage, S., Lowe, J., Lucas, N., Lungu, M., Lunn, M., Lynes, H., Machavarapu, K., Mackenzie, M., Magee, D., Major, J., Male, V., Malik, Z., Manso, K., Maquinana, M., Marciniak, K., Maronge, L., Marsh, C., Martella, C., Martin, N., Martins, N., Marway, J., Mason, L., Masood, N., Masters, J., Maton-Howarth, M., Mazzola, F., McAllister, T., McCarthy, R., McCormick, C., McCready, S., McDougall, S., Mcewan, L., McGarry, J., McKevitt, H., Mckinley, S., Mckskeane, A., McMaster, E., McMonagle, M., McNamara, H., McPhee, H., McRae, L., Mead, D., Meadows, E., Mehta, M., Meikle, J., Metodiev, Y., Michael, C., Millar, V., Miller, S., Miller, G., Milne, S., Miltsios, K., Misquita, L., Misquita, S., Mittal, M., Mohamed, M., Powell Monaghan, K., Monk, J., Monkhouse, A., Monks, D., Montague, L., Moon, A., Moran, J., Moreton, A., Morgan, E., Morgan, O., Morland, D., Morosan, M., Morris, K., Morris, A., Moser, C., Mount, M., Muir, C., Mupudzi, M., Murali, M., Murdoch, I., Murray, H., Murray, T., Murrell, K., Narasimha Murthy, G., Neeley, D., Nei, H., Neil, K., Nejim, T., Nel, M., Nicholson, A., Nicklin, A., Nolan, C., Nolan, T., Nurmi, E., O’Neill, B., Oakes, C., Oakes, N., Ochoa-Ferraro, M., Odeleye, N., Oliver, K., Oliver, M., Onslow, J., Onwochei, D., Oommen, T., Orr, T., Osagie, O., Osborn, H., Overend, J., Owston, H., Pack, E., Padhi, P., Palani, P., Pandey, R., Pandya, D., Panesar, N., Papageorgiou, C., Papanastasiou, G., Papoutsos, C., Pararajasingham, S., Parry, J., Patel, H., Patel, J., Patel, K., Patel, M., Patel, R., Patel, N., Pathak, S., Pearson, F., Peciulene, V., Peers, B., Peirce, B., Pepper, S., Perinpanayagam, J., Perry, H., Petrova, N., Phillips, T., Phillips, S., Phylactides, L., Pilkington, F., Plumb, J., Poimenidi, E., Sau Kuk Poon, A., Potter, T., Poultney, U., Powell, L., Prenter, A., Preston, K., Price, A., Pritchard, N., Pullen, J., Purohit, M., Quamina, C., Qureshi, J., Rajput, Z., Ramage, S., Ramanathan, T., Ranasinghe, U., Ranatunga, K., Rand, A., Randive, S., Rangarajan, D., Rao, C., Rao Pelluri, S., Ratnasingham, A., Razzaque, J., Reddy, A., Redington, K., Reel, E., Remeta, P., Ricco, F., Riccoboni, A., Rice, P., Rich, M., Richards, N., Riches, J., Ripoll, S., Roberts, F., Roberts, K., Robins, K., Robinson, S., Roche, S., Rojo, M., Carmela Romano, N., Rosser, H., Roughley, L., Routley, C., Rowley, C., Rudra, P., Russell, R., Ryan, C., Saad, C., Sadeghi, A., Salberg, A., Salota, V., Samuel, M., Samuels, R., Sanapala, S., Sanusi, S., Sarao, S., Sathyabhama, S., Saunders, Z., Sawarzynska-ryszka, B., Sceales, P., Schumacher, N., Schwartz, N., Sellers, C., Sellers, H., Sellick, J., Sen, S., Senaratne, D., Senbeto, S., Seneviratna, D., Setty, T., Shah, R., Shah, S., Shambly, J., Sharafudeen, S., Sharieff, I., Sharifi, L., Sharpe, L., Shaw, M., Sheldrake, I., Shinde, P., Shonfeld, A., Short, J., Siah, J., Sibug, S., Siddique, O., Siew, S., Simpson, M., Singleton, G., Sinha, K., Sinha, A., Sinnott, M., Sivadhas, H., Sivakumar, S., Sivarajan, B., Sivarajan, S., Skeoch, C., Slade, S., Slater, P., Smith, C., Smith, E., Smith, J., Smith, L., Smith, A., Smith, R., Smith, S., Smith, T., Smithers, H., Smolen, S., Smyth, C., Snel, T., Snipe, C., Soltanifar, S., Sonawane, N., Soundararaja, A., Spence, E., Spiliopoulos, M., Srivastava, C., Stacey, K., Stafford, H., Staines, N., Stead, R., Stevens, E., Stilwell, A., Stocks, G., Stokes, A., Stone, C., Straughan, B., Subbarathnam, V., Sudunagunta, S., Sultan, P., Suppiah, P., Surve, P., Sutherland, A., Swanton, R., Swarbrick, C., Swinson, A., Syrrakou, E., Tadbiri, S., Tamhane, P., Tamilselvan, P., Tan, A., Tanna, S., Tarft, H., Tarry, L., Taylor, I., Taylor, S., Tebbot, J., Theron, S., Thomas, M., Todd, S., Tolliday, H., Topham, C., Tovell, N., Traves, M., Trodd, D., Tufchi, A., Turley, K., Turnbull, M., Turnbull, C., Turner, O., Turner, W., Turney, S., Tyagi, E., Uncles, D., Unsworth, V., Vadnere, P., Varadan, R., Vasishta, V., Veal, A., Vedham, L., Venkaya, J., Verghese, M., Veronica, I., Vidanagamage, D., Vincent, R., Vyapury, V., Wain, H., Walbridge, F., Walker, E., Walsh, P., Walshe, E., Walters, M., Wan, Y., Wang, C., Wankhade, K., Waters, G., Watts, C., Webber, A., Wedgwood, T., Wee, M., Wellstead, S., White, A., Whitear, M., Whitefield, L., Wilkinson, S., Williams, L., Williams, R., Wilson, D., Wilson, S., Wimble, K., Winkley, E., Winslow, L., Winwright, P., Wloch, K., Wong, G., Wong, H., Man Wong, J., Wood, T., Wray, S., Wrench, I., Wu, J., Wynn, K., Yap, Y., Kuan Yeow, C., Young, E., Yusaf, A., Uz Zafar, S., Zeinali, D., Zhang, S., Zope, S., Zucco, L., Anwar, S., Blunt, N., Grover, V., Grailey, K., Gray, M., Highton, D., Hopkins, P., Kemp, H., Lo, Q., Martin, D., Morkane, C., O’Carroll, J., Oliver, C., Post, B., Visram, A., Wickham, A., General Paediatrics, Graduate School, Adult Psychiatry, and Pulmonology
Subjects: medicine.medical_specialty, medicine.medical_treatment, Population, 03 medical and health sciences, 0302 clinical medicine, 030202 anesthesiology, medicine, Caesarean section, General anaesthesia, general anaesthesia, 030212 general & internal medicine, Rocuronium, General anaesthetic, education, Neuromuscular Blockade, education.field_of_study, airway management, obstetrics, business.industry, Tracheal intubation, Surgery, Anesthesiology and Pain Medicine, caesarean section, Airway management, business, medicine.drug
Abstract: There are no current descriptions of general anaesthesia characteristics for obstetric surgery, despite recent changes to patient baseline characteristics and airway management guidelines. This analysis of data from the direct reporting of awareness in maternity patients' (DREAMY) study of accidental awareness during obstetric anaesthesia aimed to describe practice for obstetric general anaesthesia in England and compare with earlier surveys and best-practice recommendations. Consenting patients who received general anaesthesia for obstetric surgery in 72 hospitals from May 2017 to August 2018 were included. Baseline characteristics, airway management, anaesthetic techniques and major complications were collected. Descriptive analysis, binary logistic regression modelling and comparisons with earlier data were conducted. Data were collected from 3117 procedures, including 2554 (81.9%) caesarean deliveries. Thiopental was the induction drug in 1649 (52.9%) patients, compared with propofol in 1419 (45.5%). Suxamethonium was the neuromuscular blocking drug for tracheal intubation in 2631 (86.1%), compared with rocuronium in 367 (11.8%). Difficult tracheal intubation was reported in 1 in 19 (95%CI 1 in 16-22) and failed intubation in 1 in 312 (95%CI 1 in 169-667). Obese patients were over-represented compared with national baselines and associated with difficult, but not failed intubation. There was more evidence of change in practice for induction drugs (increased use of propofol) than neuromuscular blocking drugs (suxamethonium remains the most popular). There was evidence of improvement in practice, with increased monitoring and reversal of neuromuscular blockade (although this remains suboptimal). Despite a high risk of difficult intubation in this population, videolaryngoscopy was rarely used (1.9%).
Published: 2020

33. Working memory training and brain structure and function in extremely preterm or extremely low birth weight children

Author: Kelly, CE, Thompson, DK, Chen, J, Josev, EK, Pascoe, L, Spencer-Smith, MM, Adamson, C, Nosarti, C, Gathercole, S, Roberts, G, Lee, KJ, Doyle, LW, Seal, ML, Anderson, PJ, Kelly, CE, Thompson, DK, Chen, J, Josev, EK, Pascoe, L, Spencer-Smith, MM, Adamson, C, Nosarti, C, Gathercole, S, Roberts, G, Lee, KJ, Doyle, LW, Seal, ML, and Anderson, PJ
Abstract: This study in children born extremely preterm (EP; <28 weeks' gestational age) or extremely low birth weight (ELBW; <1,000 g) investigated whether adaptive working memory training using Cogmed® is associated with structural and/or functional brain changes compared with a placebo program. Ninety-one EP/ELBW children were recruited at a mean (standard deviation) age of 7.8 (0.4) years. Children were randomly allocated to Cogmed or placebo (45-min sessions, 5 days a week over 5-7 weeks). A subset had usable magnetic resonance imaging (MRI) data pretraining and 2 weeks posttraining (structural, n = 48; diffusion, n = 43; task-based functional, n = 18). Statistical analyses examined whether cortical morphometry, white matter microstructure and blood oxygenation level-dependent (BOLD) signal during an n-back working memory task changed from pretraining to posttraining in the Cogmed and placebo groups separately. Interaction analyses between time point and group were then performed. There was a significant increase in neurite density in several white matter regions from pretraining to posttraining in both the Cogmed and placebo groups. BOLD signal in the posterior cingulate and precuneus cortices during the n-back task increased from pretraining to posttraining in the Cogmed but not placebo group. Evidence for group-by-time interactions for the MRI measures was weak, suggesting that brain changes generally did not differ between Cogmed and placebo groups. Overall, while some structural and functional MRI changes between the pretraining and posttraining period in EP/ELBW children were observed, there was little evidence of training-induced neuroplasticity, with changes generally identified in both groups. Trial registration Australian New Zealand Clinical Trials Registry, anzctr.org.au; ACTRN12612000124831.
Published: 2020

34. Evaluation of measures to improve the performance of an open loop ground source heat pump system in the chalk aquifer: a case study.

Author: Birks, D., Adamson, C., Woods, M. G., and Holmes, G.
Subjects: GROUND source heat pump systems, HEAT pumps, HYDROGEOLOGY, GROUNDWATER monitoring, AQUIFERS
Abstract: A case study documenting the development of a groundwater-fed district heat network in Colchester, UK, is presented. The performance of an open loop groundwater heating and cooling system (also known as a ground source heat pump (GSHP)) is a function of the performance of individual boreholes and interactions between the boreholes. When performance does not meet its design capacity or decreases with time, various measures can be undertaken to improve either the performance of individual wells or the performance of the system as a whole. Output from the first exploration borehole was less than expected, placing the business case for the development in jeopardy. Consequently, refinements to the remainder of the drilling programme were implemented including three to improve the performance of individual wells and two to improve performance of the system in its entirety. Results of these refinements are presented and may be used to inform the design of new open loop groundwater heat pump systems (GSHPs) and/or the rehabilitation of existing systems that have experienced diminished performance. Yields from three wells drilled using the reverse circulation method were more than double those drilled with the direct water flush method. A significant improvement in the performance of abstraction wells due to reinjection was observed. Specific capacity in abstraction wells increased by c. 40% due to reinjection, where the distance between abstraction and reinjection locations was 535–717 m. Allowing an excess pressure of up to 0.2 MPa in the reinjection boreholes meant that reinjection could be achieved with fewer wells. Outputs from abstraction wells were not increased by extending the depth of boreholes from 135 to 200 m or implementing additional acid treatments. [ABSTRACT FROM AUTHOR]
Published: 2022
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35. Putting It All Together: Principles of Protocol Development

Author: ADAMSON, C, primary
Published: 2004
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36. Evidence of HPV16 integration in low- and high-grade cervical lesions that regress demonstrated by multiple displacement amplification and Southern blot hybridisation

Author: Evans, M F, Adamson, C Stewart-Crawford, and Cooper, K
Published: 2008
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37. The Vicars of Haltwhistle

Author: Adamson, C E
Abstract: Archaeologia Aeliana, 19, 14-28
Published: 2019
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38. The Manor of Haltwhistle

Author: Adamson, C E
Abstract: Archaeologia Aeliana, 16, 162-176
Published: 2019
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39. The Church of Haltwhistle

Author: Adamson, C E
Abstract: Archaeologia Aeliana, 16, 177-188
Published: 2019
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40. Quantifying individual differences in brain morphometry underlying symptom severity in Autism Spectrum Disorders

Author: Pua, EPK, Ball, G, Adamson, C, Bowden, S, Seal, ML, Pua, EPK, Ball, G, Adamson, C, Bowden, S, and Seal, ML
Abstract: The neurobiology of heterogeneous neurodevelopmental disorders such as autism spectrum disorders (ASD) are still unclear. Despite extensive efforts, most findings are difficult to reproduce due to high levels of individual variance in phenotypic expression. To quantify individual differences in brain morphometry in ASD, we implemented a novel subject-level, distance-based method on subject-specific attributes. In a large multi-cohort sample, each subject with ASD (n = 100; n = 84 males; mean age: 11.43 years; mean IQ: 110.58) was strictly matched to a control participant (n = 100; n = 84 males; mean age: 11.43 years; mean IQ: 110.70). Intrapair Euclidean distance of MRI brain morphometry and symptom severity measures (Social Responsiveness Scale) were entered into a regularised machine learning pipeline for feature selection, with rigorous out-of-sample validation and permutation testing. Subject-specific structural morphometry features significantly predicted individual variation in ASD symptom severity (19 cortical thickness features, p = 0.01, n = 5000 permutations; 10 surface area features, p = 0.006, n = 5000 permutations). Findings remained robust across subjects and were replicated in validation samples. Identified cortical regions implicate key hubs of the salience and default mode networks as neuroanatomical features of social impairment in ASD. Present results highlight the importance of subject-level markers in ASD, and offer an important step forward in understanding the neurobiology of heterogeneous disorders.
Published: 2019

41. Desikan-Killiany-Tourville Atlas Compatible Version of M-CRIB Neonatal Parcellated Whole Brain Atlas: The M-CRIB 2.0

Author: Alexander, B, Loh, WY, Matthews, LG, Murray, AL, Adamson, C, Beare, R, Chen, J, Kelly, CE, Anderson, PJ, Doyle, LW, Spittle, AJ, Cheong, JLY, Seal, ML, Thompson, DK, Alexander, B, Loh, WY, Matthews, LG, Murray, AL, Adamson, C, Beare, R, Chen, J, Kelly, CE, Anderson, PJ, Doyle, LW, Spittle, AJ, Cheong, JLY, Seal, ML, and Thompson, DK
Abstract: Our recently published M-CRIB atlas comprises 100 neonatal brain regions including 68 compatible with the widely-used Desikan-Killiany adult cortical atlas. A successor to the Desikan-Killiany atlas is the Desikan-Killiany-Tourville atlas, in which some regions with unclear boundaries were removed, and many existing boundaries were revised to conform to clearer landmarks in sulcal fundi. Our first aim here was to modify cortical M-CRIB regions to comply with the Desikan-Killiany-Tourville protocol, in order to offer: (a) compatibility with this adult cortical atlas, (b) greater labeling accuracy due to clearer landmarks, and (c) optimisation of cortical regions for integration with surface-based infant parcellation pipelines. Secondly, we aimed to update subcortical regions in order to offer greater compatibility with subcortical segmentations produced in FreeSurfer. Data utilized were the T2-weighted MRI scans in our M-CRIB atlas, for 10 healthy neonates (post-menstrual age at MRI 40-43 weeks, four female), and corresponding parcellated images. Edits were performed on the parcellated images in volume space using ITK-SNAP. Cortical updates included deletion of frontal and temporal poles and 'Banks STS,' and modification of boundaries of many other regions. Changes to subcortical regions included the addition of 'ventral diencephalon,' and deletion of 'subcortical matter' labels. A detailed updated parcellation protocol was produced. The resulting whole-brain M-CRIB 2.0 atlas comprises 94 regions altogether. This atlas provides comparability with adult Desikan-Killiany-Tourville-labeled cortical data and FreeSurfer-labeed subcortical data, and is more readily adaptable for incorporation into surface-based neonatal parcellation pipelines. As such, it offers the ability to help facilitate a broad range of investigations into brain structure and function both at the neonatal time point and developmentally across the lifespan.
Published: 2019

42. Donor Investigations for Suspected Post-transfusion West Nile Virus Infection

Author: Kakaiya, R M, Gordon, S, Adamson, C, Tata, R, Mizzi, A, Joseph, N, Faso, J, Dodds, K, and Pealer, L
Published: 2003

43. Reactivity of Monoclonal Anti-D Reagents With 27 Samples Shown to Have the Crawford(Rh43) Low-Incidence Antigen and/or a novel RHCE Variant Rhce Allele

Author: Moulds, M K, Schlanser, G, Frame, T, Adamson, C N, and Macneill, S
Published: 2003

44. Incidence of accidental awareness during general anaesthesia in obstetrics: a multicentre, prospective cohort study.

Author: Odor, P. M., Bampoe, S., Lucas, D. N., Moonesinghe, S. R., Andrade, J., Pandit, J. J., A'Court, A., Abdel‐Gadir, D., Abdu, A., Abisogun, C., Aboud, Z., Abrams, J., Ackerman, A., Adamson, C., Addison, R., Adeyeye, A., Adler, R., Aduse‐Poku, M., Adyanthaya, S., and Ahmad, N.
Subjects: INTRAOPERATIVE awareness, POST-traumatic stress disorder, ANESTHESIA, PSYCHOLOGICAL factors, RISK perception, AWARENESS
Abstract: General anaesthesia for obstetric surgery has distinct characteristics that may contribute towards a higher risk of accidental awareness during general anaesthesia. The primary aim of this study was to investigate the incidence, experience and psychological implications of unintended conscious awareness during general anaesthesia in obstetric patients. From May 2017 to August 2018, 3115 consenting patients receiving general anaesthesia for obstetric surgery in 72 hospitals in England were recruited to the study. Patients received three repetitions of standardised questioning over 30 days, with responses indicating memories during general anaesthesia that were verified using interviews and record interrogation. A total of 12 patients had certain/probable or possible awareness, an incidence of 1 in 256 (95%CI 149-500) for all obstetric surgery. The incidence was 1 in 212 (95%CI 122-417) for caesarean section surgery. Distressing experiences were reported by seven (58.3%) patients, paralysis by five (41.7%) and paralysis with pain by two (16.7%). Accidental awareness occurred during induction and emergence in nine (75%) of the patients who reported awareness. Factors associated with accidental awareness during general anaesthesia were: high BMI (25-30 kg.m-2 ); low BMI (<18.5 kg.m-2 ); out-of-hours surgery; and use of ketamine or thiopental for induction. Standardised psychological impact scores at 30 days were significantly higher in awareness patients (median (IQR [range]) 15 (2.7-52.0 [2-56]) than in patients without awareness 3 (1-9 [0-64]), p = 0.010. Four patients had a provisional diagnosis of post-traumatic stress disorder. We conclude that direct postoperative questioning reveals high rates of accidental awareness during general anaesthesia for obstetric surgery, which has implications for anaesthetic practice, consent and follow-up. [ABSTRACT FROM AUTHOR]
Published: 2021
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45. The Preterm Clinical Network (PCN) Database: A web-based systematic method of collecting data on the care of women at risk of preterm birth

Author: Carter, J, Tribe, RM, Sandall, J, Shennan, AH, Alfirevic, Z, Adamson, C, Girling, J, Tezcan, B, Bennett, P, Bonney, EA, Simpson, N, Care, AG, Chandiramani, M, Daly, S, David, AL, James, CP, Francis, HC, Ganapathy, R, Greenwold, N, Hezelgrave, NL, Hillman, C, Hoveyda, F, Jolly, M, Kelly, T, Malarselvi, M, Patni, S, Manktelow, BN, Selman, T, Shankar, LR, Sharp, A, Stock, SJ, Terzidou, V, Tydeman, G, and Vecsei, FA
Subjects: Internet, Databases, Factual, Pregnancy, Data Collection, Humans, Premature Birth, Prenatal Care, Female, Obstetrics & Reproductive Medicine, Risk Assessment, United Kingdom
Abstract: © 2018 The Author(s). Background: Despite much research effort, there is a paucity of conclusive evidence in the field of preterm birth prediction and prevention. The methods of monitoring and prevention strategies offered to women at risk vary considerably around the UK and depend on local maternity care provision. It is becoming increasingly recognised that this experience and knowledge, if captured on a larger scale, could be a utilized as a valuable source of evidence for others. The UK Preterm Clinical Network (UKPCN) was established with the aim of improving care and outcomes for women at risk of preterm birth through the sharing of a wealth of experience and knowledge, as well as the building of clinical and research collaboration. The design and development of a bespoke internet-based database was fundamental to achieving this aim. Method: Following consultation with UKPCN members and agreement on a minimal dataset, the Preterm Clinical Network (PCN) Database was constructed to collect data from women at risk of preterm birth and their children. Information Governance and research ethics committee approval was given for the storage of historical as well as prospectively collected data. Collaborating centres have instant access to their own records, while use of pooled data is governed by the PCN Database Access Committee. Applications are welcomed from UKPCN members and other established research groups. The results of investigations using the data are expected to provide insights into the effectiveness of current surveillance practices and preterm birth interventions on a national and international scale, as well as the generation of ideas for innovation and research. To date, 31 sites are registered as Data Collection Centres, four of which are outside the UK. Conclusion: This paper outlines the aims of the PCN Database along with the development process undertaken from the initial idea to live launch.
Published: 2018

46. P328Is there evidence of a rebound increase in platelet aggregation following withdrawal of Aspirin or Ticagrelor in patients who have previously undergone PCI and coronary stenting?

Author: Hennigan, B W, primary, Good, R, additional, Adamson, C, additional, Martin, L, additional, Anderson, L, additional, Campbell, M, additional, and Oldroyd, K G, additional
Published: 2019
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47. General anaesthetic and airway management practice for obstetric surgery in England: a prospective, multicentre observational study*.

Author: Odor, P. M., Bampoe, S., Moonesinghe, S. R., Andrade, J., Pandit, J. J., Lucas, D. N., A'Court, A, Abdel‐Gadir, D, Abdu, A, Abisogun, C, Aboud, Z, Abrams, J, Ackerman, A, Adamson, C, Addison, R, Adeyeye, A, Adler, R, Aduse‐Poku, M, Adyanthaya, S, and Ahmad, N
Subjects: SURGERY practice, ANESTHETICS, NEUROMUSCULAR blockade, AIRWAY (Anatomy), CESAREAN section
Abstract: Summary: There are no current descriptions of general anaesthesia characteristics for obstetric surgery, despite recent changes to patient baseline characteristics and airway management guidelines. This analysis of data from the direct reporting of awareness in maternity patients' (DREAMY) study of accidental awareness during obstetric anaesthesia aimed to describe practice for obstetric general anaesthesia in England and compare with earlier surveys and best‐practice recommendations. Consenting patients who received general anaesthesia for obstetric surgery in 72 hospitals from May 2017 to August 2018 were included. Baseline characteristics, airway management, anaesthetic techniques and major complications were collected. Descriptive analysis, binary logistic regression modelling and comparisons with earlier data were conducted. Data were collected from 3117 procedures, including 2554 (81.9%) caesarean deliveries. Thiopental was the induction drug in 1649 (52.9%) patients, compared with propofol in 1419 (45.5%). Suxamethonium was the neuromuscular blocking drug for tracheal intubation in 2631 (86.1%), compared with rocuronium in 367 (11.8%). Difficult tracheal intubation was reported in 1 in 19 (95%CI 1 in 16–22) and failed intubation in 1 in 312 (95%CI 1 in 169–667). Obese patients were over‐represented compared with national baselines and associated with difficult, but not failed intubation. There was more evidence of change in practice for induction drugs (increased use of propofol) than neuromuscular blocking drugs (suxamethonium remains the most popular). There was evidence of improvement in practice, with increased monitoring and reversal of neuromuscular blockade (although this remains suboptimal). Despite a high risk of difficult intubation in this population, videolaryngoscopy was rarely used (1.9%). [ABSTRACT FROM AUTHOR]
Published: 2021
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48. Callosal thickness profiles for prognosticating conversion from mild cognitive impairment to Alzheimer's disease: A classification approach

Author: Adamson, C, Beare, R, Ball, G, Walterfang, M, Seal, M, Adamson, C, Beare, R, Ball, G, Walterfang, M, and Seal, M
Abstract: INTRODUCTION: Alzheimer's disease (AD) is the most common form of dementia. Finding biomarkers to prognosticate transition from mild cognitive impairment (MCI) to AD is important to clinical medicine. Promising imaging biomarkers of AD conversion identified so far include atrophy of the cerebral cortex and subcortical gray matter nuclei. METHODS: This study introduces thickness and bending angle of the corpus callosum as a putative white matter marker of MCI to AD conversion. The corpus callosum is computationally less demanding to segment automatically compared to more complicated structures and a subject can be processed in a few minutes. We aimed to demonstrate that callosal shape and thickness measures provide a simple, effective, and accurate prognostication tool in ADNI dataset. Using longitudinal datasets, we classified MCI subjects based on conversion to AD assessed via cognitive testing. We evaluated the classification accuracy of callosal shape features in comparison with the existing "gold standard" cortical thickness and subcortical gray matter volume measures. RESULTS: The callosal thickness measures were less accurate in classifying conversion status by cognitive scores compared to gray matter measures for AD. CONCLUSIONS: While this paper presented a negative result, this method may be more suitable for a disease of the white matter.
Published: 2018

49. Caffeine for apnea of prematurity and brain development at 11years of age

Author: Kelly, CE, Ooi, WL, Yang, JY-M, Chen, J, Adamson, C, Lee, KJ, Cheong, JLY, Anderson, PJ, Doyle, LW, Thompson, DK, Kelly, CE, Ooi, WL, Yang, JY-M, Chen, J, Adamson, C, Lee, KJ, Cheong, JLY, Anderson, PJ, Doyle, LW, and Thompson, DK
Abstract: OBJECTIVE: Caffeine therapy for apnea of prematurity has been reported to improve brain white matter microstructure at term-equivalent age, but its long-term effects are unknown. This study aimed to investigate whether caffeine affects (1) brain structure at 11 years of age, and (2) brain development from term-equivalent age to 11 years of age, compared with placebo. METHODS: Preterm infants born ≤1250 g were randomly allocated to caffeine or placebo. Magnetic resonance imaging (MRI) was performed on 70 participants (33 caffeine, 37 placebo) at term-equivalent age and 117 participants (63 caffeine, 54 placebo) at 11 years of age. Global and regional brain volumes and white matter microstructure were measured at both time points. RESULTS: In general, there was little evidence for differences between treatment groups in brain volumes or white matter microstructure at age 11 years. There was, however, evidence that the caffeine group had a smaller corpus callosum than the placebo group. Volumetric brain development from term-equivalent to 11 years of age was generally similar between treatment groups. However, there was evidence that caffeine was associated with slower growth of the corpus callosum, and slower decreases in axial, radial, and mean diffusivities in the white matter, particularly at the level of the centrum semiovale, over time than placebo. INTERPRETATION: This study suggests any benefits of neonatal caffeine therapy on brain structure in preterm infants weaken over time and are not clearly detectable by MRI at age 11 years, although caffeine may have long-term effects on corpus callosum development.
Published: 2018

50. Brain volumetric correlates of inhibition and cognitive flexibility 16 years following childhood traumatic brain injury

Author: Yu, K, Seal, ML, Reyes, J, Godfrey, C, Anderson, V, Adamson, C, Ryan, NP, Hearps, SJC, Catroppa, C, Yu, K, Seal, ML, Reyes, J, Godfrey, C, Anderson, V, Adamson, C, Ryan, NP, Hearps, SJC, and Catroppa, C
Abstract: Executive functions (EFs), such as inhibition and cognitive flexibility, are essential for everyday functioning, including regulation of socially appropriate emotional responses. These skills develop during childhood and continue maturing into early adulthood. The current study aimed to investigate the very long-term impact of childhood traumatic brain injury (TBI) on inhibition and cognitive flexibility, and to examine whether global white matter is associated with these abilities. Twenty-eight young adult survivors of childhood TBI (mean age at 16-year follow-up = 21.67 years, SD = 2.70) and 16 typically developing controls (TDCs), group-matched for age, sex, and socioeconomic status, completed tests of inhibition and cognitive flexibility and underwent structural MRI. Survivors of childhood TBI did not significantly differ from TDCs on EF or white matter volume. However, the relationship between EF and white matter volume differed between survivors of TBI and TDCs. Survivors of TBI did not mimic the brain behavior relationship that characterized EF in TDCs. The inverse brain behavior relationship, exhibited by childhood TBI survivors, suggests disruptions in the whole brain underpinning EF following childhood TBI.
Published: 2018

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