Search

Your search keyword '"Duff, Eugene P."' showing total 198 results
Start Over Author "Duff, Eugene P."
198 results on '"Duff, Eugene P."'

2. Posthospitalization COVID-19 cognitive deficits at 1 year are global and associated with elevated brain injury markers and gray matter volume reduction

Author

Wood, Greta K., Sargent, Brendan F., Ahmad, Zain-Ul-Abideen, Tharmaratnam, Kukatharmini, Dunai, Cordelia, Egbe, Franklyn N., Martin, Naomi H., Facer, Bethany, Pendered, Sophie L., Rogers, Henry C., Hübel, Christopher, van Wamelen, Daniel J., Bethlehem, Richard A. I., Giunchiglia, Valentina, Hellyer, Peter J., Trender, William, Kalsi, Gursharan, Needham, Edward, Easton, Ava, Jackson, Thomas A., Cunningham, Colm, Upthegrove, Rachel, Pollak, Thomas A., Hotopf, Matthew, Solomon, Tom, Pett, Sarah L., Shaw, Pamela J., Wood, Nicholas, Harrison, Neil A., Miller, Karla L., Jezzard, Peter, Williams, Guy, Duff, Eugene P., Williams, Steven, Zelaya, Fernando, Smith, Stephen M., Keller, Simon, Broome, Matthew, Kingston, Nathalie, Husain, Masud, Vincent, Angela, Bradley, John, Chinnery, Patrick, Menon, David K., Aggleton, John P., Nicholson, Timothy R., Taylor, John-Paul, David, Anthony S., Carson, Alan, Bullmore, Ed, Breen, Gerome, Hampshire, Adam, Michael, Benedict D., Paddick, Stella-Maria, and Leek, E. Charles

Published
2025
Full Text
View/download PDF

3. Neonatal brain dynamic functional connectivity in term and preterm infants and its association with early childhood neurodevelopment

Author

França, Lucas G. S., Ciarrusta, Judit, Gale-Grant, Oliver, Fenn-Moltu, Sunniva, Fitzgibbon, Sean, Chew, Andrew, Falconer, Shona, Dimitrova, Ralica, Cordero-Grande, Lucilio, Price, Anthony N., Hughes, Emer, O’Muircheartaigh, Jonathan, Duff, Eugene, Tuulari, Jetro J., Deco, Gustavo, Counsell, Serena J., Hajnal, Joseph V., Nosarti, Chiara, Arichi, Tomoki, Edwards, A. David, McAlonan, Grainne, and Batalle, Dafnis

Published
2024
Full Text
View/download PDF

4. The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)

Author

Poldrack, Russell A., Markiewicz, Christopher J., Appelhoff, Stefan, Ashar, Yoni K., Auer, Tibor, Baillet, Sylvain, Bansal, Shashank, Beltrachini, Leandro, Benar, Christian G., Bertazzoli, Giacomo, Bhogawar, Suyash, Blair, Ross W., Bortoletto, Marta, Boudreau, Mathieu, Brooks, Teon L., Calhoun, Vince D., Castelli, Filippo Maria, Clement, Patricia, Cohen, Alexander L, Cohen-Adad, Julien, D'Ambrosio, Sasha, de Hollander, Gilles, de la iglesia-Vayá, María, de la Vega, Alejandro, Delorme, Arnaud, Devinsky, Orrin, Draschkow, Dejan, Duff, Eugene Paul, DuPre, Elizabeth, Earl, Eric, Esteban, Oscar, Feingold, Franklin W., Flandin, Guillaume, galassi, anthony, Gallitto, Giuseppe, Ganz, Melanie, Gau, Rémi, Gholam, James, Ghosh, Satrajit S., Giacomel, Alessio, Gillman, Ashley G, Gleeson, Padraig, Gramfort, Alexandre, Guay, Samuel, Guidali, Giacomo, Halchenko, Yaroslav O., Handwerker, Daniel A., Hardcastle, Nell, Herholz, Peer, Hermes, Dora, Honey, Christopher J., Innis, Robert B., Ioanas, Horea-Ioan, Jahn, Andrew, Karakuzu, Agah, Keator, David B., Kiar, Gregory, Kincses, Balint, Laird, Angela R., Lau, Jonathan C., Lazari, Alberto, Legarreta, Jon Haitz, Li, Adam, Li, Xiangrui, Love, Bradley C., Lu, Hanzhang, Maumet, Camille, Mazzamuto, Giacomo, Meisler, Steven L., Mikkelsen, Mark, Mutsaerts, Henk, Nichols, Thomas E., Nikolaidis, Aki, Nilsonne, Gustav, Niso, Guiomar, Norgaard, Martin, Okell, Thomas W, Oostenveld, Robert, Ort, Eduard, Park, Patrick J., Pawlik, Mateusz, Pernet, Cyril R., Pestilli, Franco, Petr, Jan, Phillips, Christophe, Poline, Jean-Baptiste, Pollonini, Luca, Raamana, Pradeep Reddy, Ritter, Petra, Rizzo, Gaia, Robbins, Kay A., Rockhill, Alexander P., Rogers, Christine, Rokem, Ariel, Rorden, Chris, Routier, Alexandre, Saborit-Torres, Jose Manuel, Salo, Taylor, Schirner, Michael, Smith, Robert E., Spisak, Tamas, Sprenger, Julia, Swann, Nicole C., Szinte, Martin, Takerkart, Sylvain, Thirion, Bertrand, Thomas, Adam G., Torabian, Sajjad, Varoquaux, Gael, Voytek, Bradley, Welzel, Julius, Wilson, Martin, Yarkoni, Tal, and Gorgolewski, Krzysztof J.

Subjects
Quantitative Biology - Other Quantitative Biology
Abstract

The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown over time. We outline the principles behind the project, the mechanisms by which it has been extended, and some of the challenges being addressed as it evolves. We also discuss the lessons learned through the project, with the aim of enabling researchers in other domains to learn from the success of BIDS.

Published
2023
Full Text
View/download PDF

5. Structural and functional asymmetry of the neonatal cerebral cortex

Author

Williams, Logan Z. J., Fitzgibbon, Sean P., Bozek, Jelena, Winkler, Anderson M., Dimitrova, Ralica, Poppe, Tanya, Schuh, Andreas, Makropoulos, Antonios, Cupitt, John, O’Muircheartaigh, Jonathan, Duff, Eugene P., Cordero-Grande, Lucilio, Price, Anthony N., Hajnal, Joseph V., Rueckert, Daniel, Smith, Stephen M., Edwards, A. David, and Robinson, Emma C.

Published
2023
Full Text
View/download PDF

6. Maturational networks of human fetal brain activity reveal emerging connectivity patterns prior to ex-utero exposure

Author

Karolis, Vyacheslav R., Fitzgibbon, Sean P., Cordero-Grande, Lucilio, Farahibozorg, Seyedeh-Rezvan, Price, Anthony N., Hughes, Emer J., Fetit, Ahmed E., Kyriakopoulou, Vanessa, Pietsch, Maximilian, Rutherford, Mary A., Rueckert, Daniel, Hajnal, Joseph V., Edwards, A. David, O’Muircheartaigh, Jonathan, Duff, Eugene P., and Arichi, Tomoki

Published
2023
Full Text
View/download PDF

7. Brainhack: Developing a culture of open, inclusive, community-driven neuroscience

Author

Gau, Rémi, Noble, Stephanie, Heuer, Katja, Bottenhorn, Katherine L, Bilgin, Isil P, Yang, Yu-Fang, Huntenburg, Julia M, Bayer, Johanna MM, Bethlehem, Richard AI, Rhoads, Shawn A, Vogelbacher, Christoph, Borghesani, Valentina, Levitis, Elizabeth, Wang, Hao-Ting, Van Den Bossche, Sofie, Kobeleva, Xenia, Legarreta, Jon Haitz, Guay, Samuel, Atay, Selim Melvin, Varoquaux, Gael P, Huijser, Dorien C, Sandström, Malin S, Herholz, Peer, Nastase, Samuel A, Badhwar, AmanPreet, Dumas, Guillaume, Schwab, Simon, Moia, Stefano, Dayan, Michael, Bassil, Yasmine, Brooks, Paula P, Mancini, Matteo, Shine, James M, O’Connor, David, Xie, Xihe, Poggiali, Davide, Friedrich, Patrick, Heinsfeld, Anibal S, Riedl, Lydia, Toro, Roberto, Caballero-Gaudes, César, Eklund, Anders, Garner, Kelly G, Nolan, Christopher R, Demeter, Damion V, Barrios, Fernando A, Merchant, Junaid S, McDevitt, Elizabeth A, Oostenveld, Robert, Craddock, R Cameron, Rokem, Ariel, Doyle, Andrew, Ghosh, Satrajit S, Nikolaidis, Aki, Stanley, Olivia W, Uruñuela, Eneko, Community, The Brainhack, Anousheh, Nasim, Arnatkeviciute, Aurina, Auzias, Guillaume, Bachar, Dipankar, Bannier, Elise, Basanisi, Ruggero, Basavaraj, Arshitha, Bedini, Marco, Bellec, Pierre, Benn, R Austin, Berluti, Kathryn, Bollmann, Steffen, Bollmann, Saskia, Bradley, Claire, Brown, Jesse, Buchweitz, Augusto, Callahan, Patrick, Chan, Micaela Y, Chandio, Bramsh Q, Cheng, Theresa, Chopra, Sidhant, Chung, Ai Wern, Close, Thomas G, Combrisson, Etienne, Cona, Giorgia, Constable, R Todd, Cury, Claire, Dadi, Kamalaker, Damasceno, Pablo F, Das, Samir, De Vico Fallani, Fabrizio, DeStasio, Krista, Dickie, Erin W, Dorfschmidt, Lena, Duff, Eugene P, DuPre, Elizabeth, Dziura, Sarah, Esper, Nathalia B, Esteban, Oscar, Fadnavis, Shreyas, Flandin, Guillaume, Flannery, Jessica E, and Flournoy, John

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Communication, Congresses as Topic, Internet, Practice Guidelines as Topic, Brainhack Community, Brainhack, best practices, collaboration, community building, hackathon, inclusivity, neuroscience, open science, reproducibility, training, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Brainhack is an innovative meeting format that promotes scientific collaboration and education in an open, inclusive environment. This NeuroView describes the myriad benefits for participants and the research community and how Brainhacks complement conventional formats to augment scientific progress.

Published
2021

9. SARS-CoV-2 is associated with changes in brain structure in UK Biobank

Author

Douaud, Gwenaëlle, Lee, Soojin, Alfaro-Almagro, Fidel, Arthofer, Christoph, Wang, Chaoyue, McCarthy, Paul, Lange, Frederik, Andersson, Jesper L. R., Griffanti, Ludovica, Duff, Eugene, Jbabdi, Saad, Taschler, Bernd, Keating, Peter, Winkler, Anderson M., Collins, Rory, Matthews, Paul M., Allen, Naomi, Miller, Karla L., Nichols, Thomas E., and Smith, Stephen M.

Published
2022
Full Text
View/download PDF

10. Integrating large-scale neuroimaging research datasets: Harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets

Author

Bordin, Valentina, Bertani, Ilaria, Mattioli, Irene, Sundaresan, Vaanathi, McCarthy, Paul, Suri, Sana, Zsoldos, Enikő, Filippini, Nicola, Mahmood, Abda, Melazzini, Luca, Laganà, Maria Marcella, Zamboni, Giovanna, Singh-Manoux, Archana, Kivimäki, Mika, Ebmeier, Klaus P, Baselli, Giuseppe, Jenkinson, Mark, Mackay, Clare E, Duff, Eugene P, and Griffanti, Ludovica

Published
2021
Full Text
View/download PDF

11. Searching Multiregression Dynamic Models of Resting-State fMRI Networks Using Integer Programming

Author

Costa, Lilia, Smith, Jim, Nichols, Thomas, Cussens, James, Duff, Eugene P., and Makin, Tamar R.

Subjects
Statistics - Methodology, Mathematics - Statistics Theory
Abstract

A Multiregression Dynamic Model (MDM) is a class of multivariate time series that represents various dynamic causal processes in a graphical way. One of the advantages of this class is that, in contrast to many other Dynamic Bayesian Networks, the hypothesised relationships accommodate conditional conjugate inference. We demonstrate for the first time how straightforward it is to search over all possible connectivity networks with dynamically changing intensity of transmission to find the Maximum a Posteriori Probability (MAP) model within this class. This search method is made feasible by using a novel application of an Integer Programming algorithm. The efficacy of applying this particular class of dynamic models to this domain is shown and more specifically the computational efficiency of a corresponding search of 11-node Directed Acyclic Graph (DAG) model space. We proceed to show how diagnostic methods, analogous to those defined for static Bayesian Networks, can be used to suggest embellishment of the model class to extend the process of model selection. All methods are illustrated using simulated and real resting-state functional Magnetic Resonance Imaging (fMRI) data., Comment: Published at http://dx.doi.org/10.1214/14-BA913 in the Bayesian Analysis (http://projecteuclid.org/euclid.ba) by the International Society of Bayesian Analysis (http://bayesian.org/)

Published
2015
Full Text
View/download PDF

14. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

Author

Gorgolewski, Krzysztof J, Auer, Tibor, Calhoun, Vince D, Craddock, R Cameron, Das, Samir, Duff, Eugene P, Flandin, Guillaume, Ghosh, Satrajit S, Glatard, Tristan, Halchenko, Yaroslav O, Handwerker, Daniel A, Hanke, Michael, Keator, David, Li, Xiangrui, Michael, Zachary, Maumet, Camille, Nichols, B Nolan, Nichols, Thomas E, Pellman, John, Poline, Jean-Baptiste, Rokem, Ariel, Schaefer, Gunnar, Sochat, Vanessa, Triplett, William, Turner, Jessica A, Varoquaux, Gaël, and Poldrack, Russell A

Subjects
Information and Computing Sciences, Cognitive and Computational Psychology, Psychology, Neurosciences, Biomedical Imaging, Brain Disorders, Neurological, Data Collection, Datasets as Topic, Humans, Magnetic Resonance Imaging, Neuroimaging
Abstract

The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens of thousands of studies using techniques such as functional MRI and diffusion weighted imaging have allowed for the non-invasive study of the brain. Despite the fact that MRI is routinely used to obtain data for neuroscience research, there has been no widely adopted standard for organizing and describing the data collected in an imaging experiment. This renders sharing and reusing data (within or between labs) difficult if not impossible and unnecessarily complicates the application of automatic pipelines and quality assurance protocols. To solve this problem, we have developed the Brain Imaging Data Structure (BIDS), a standard for organizing and describing MRI datasets. The BIDS standard uses file formats compatible with existing software, unifies the majority of practices already common in the field, and captures the metadata necessary for most common data processing operations.

Published
2016

17. Plasma proteomic evidence for increased Alzheimer’s disease-related brain pathology after SARS-CoV-2 infection

Author

Duff, Eugene P, primary, Zetterberg, Henrik, additional, Heslegrave, Amanda, additional, Dehghan, Abbas, additional, Elliott, Paul, additional, Allen, Naomi, additional, Runz, Heiko, additional, Laban, Rhiannon, additional, Veleva, Elena, additional, Whelan, Christopher D, additional, Sun, Benjamin B, additional, and Matthews, Paul M, additional

Published
2024
Full Text
View/download PDF

18. The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction

Author

Makropoulos, Antonios, Robinson, Emma C., Schuh, Andreas, Wright, Robert, Fitzgibbon, Sean, Bozek, Jelena, Counsell, Serena J., Steinweg, Johannes, Vecchiato, Katy, Passerat-Palmbach, Jonathan, Lenz, Gregor, Mortari, Filippo, Tenev, Tencho, Duff, Eugene P., Bastiani, Matteo, Cordero-Grande, Lucilio, Hughes, Emer, Tusor, Nora, Tournier, Jacques-Donald, Hutter, Jana, Price, Anthony N., Teixeira, Rui Pedro A.G., Murgasova, Maria, Victor, Suresh, Kelly, Christopher, Rutherford, Mary A., Smith, Stephen M., Edwards, A. David, Hajnal, Joseph V., Jenkinson, Mark, and Rueckert, Daniel

Published
2018
Full Text
View/download PDF

20. Gradient organisation of functional connectivity within resting state networks is present from 25 weeks gestation in the human fetal brain

Author

Moore, Jucha Willers, primary, Wilson, Siân, additional, Oldehinkel, Marianne, additional, Cordero-Grande, Lucilio, additional, Uus, Alena, additional, Kyriakopoulou, Vanessa, additional, Duff, Eugene P, additional, O’Muircheartaigh, Jonathan, additional, Rutherford, Mary A, additional, Andreae, Laura C, additional, Hajnal, Joseph V, additional, Edwards, A David, additional, Beckmann, Christian F, additional, Arichi, Tomoki, additional, and Karolis, Vyacheslav R, additional

Published
2023
Full Text
View/download PDF

21. Hand classification of fMRI ICA noise components

Author

Griffanti, Ludovica, Douaud, Gwenaëlle, Bijsterbosch, Janine, Evangelisti, Stefania, Alfaro-Almagro, Fidel, Glasser, Matthew F., Duff, Eugene P., Fitzgibbon, Sean, Westphal, Robert, Carone, Davide, Beckmann, Christian F., and Smith, Stephen M.

Published
2017
Full Text
View/download PDF

22. The brain functional connectome is robustly altered by lack of sleep

Author

Kaufmann, Tobias, Elvsåshagen, Torbjørn, Alnæs, Dag, Zak, Nathalia, Pedersen, Per Ø., Norbom, Linn B., Quraishi, Sophia H., Tagliazucchi, Enzo, Laufs, Helmut, Bjørnerud, Atle, Malt, Ulrik F., Andreassen, Ole A., Roussos, Evangelos, Duff, Eugene P., Smith, Stephen M., Groote, Inge R., and Westlye, Lars T.

Published
2016
Full Text
View/download PDF

27. Posthospitalization COVID-19 cognitive deficits at 1 year are global and associated with elevated brain injury markers and gray matter volume reduction

Author

Wood, Greta K., Sargent, Brendan F., Ahmad, Zain-Ul-Abideen, Tharmaratnam, Kukatharmini, Dunai, Cordelia, Egbe, Franklyn N., Martin, Naomi H., Facer, Bethany, Pendered, Sophie L., Rogers, Henry C., Hübel, Christopher, van Wamelen, Daniel J., Bethlehem, Richard A. I., Giunchiglia, Valentina, Hellyer, Peter J., Trender, William, Kalsi, Gursharan, Needham, Edward, Easton, Ava, Jackson, Thomas A., Cunningham, Colm, Upthegrove, Rachel, Pollak, Thomas A., Hotopf, Matthew, Solomon, Tom, Pett, Sarah L., Shaw, Pamela J., Wood, Nicholas, Harrison, Neil A., Miller, Karla L., Jezzard, Peter, Williams, Guy, Duff, Eugene P., Williams, Steven, Zelaya, Fernando, Smith, Stephen M., Keller, Simon, Broome, Matthew, Kingston, Nathalie, Husain, Masud, Vincent, Angela, Bradley, John, Chinnery, Patrick, Menon, David K., Aggleton, John P., Nicholson, Timothy R., Taylor, John-Paul, David, Anthony S., Carson, Alan, Bullmore, Ed, Breen, Gerome, Hampshire, Adam, Michael, Benedict D., Paddick, Stella-Maria, and Leek, E. Charles

Abstract

The spectrum, pathophysiology and recovery trajectory of persistent post-COVID-19 cognitive deficits are unknown, limiting our ability to develop prevention and treatment strategies. We report the 1-year cognitive, serum biomarker and neuroimaging findings from a prospective, national study of cognition in 351 COVID-19 patients who required hospitalization, compared with 2,927 normative matched controls. Cognitive deficits were global, associated with elevated brain injury markers and reduced anterior cingulate cortex volume 1 year after COVID-19. Severity of the initial infective insult, postacute psychiatric symptoms and a history of encephalopathy were associated with the greatest deficits. There was strong concordance between subjective and objective cognitive deficits. Longitudinal follow-up in 106 patients demonstrated a trend toward recovery. Together, these findings support the hypothesis that brain injury in moderate to severe COVID-19 may be immune-mediated, and should guide the development of therapeutic strategies.

Published
2024
Full Text
View/download PDF

28. Development of neonatal brain functional centrality and alterations associated with preterm birth

Author

Fenn-Moltu, Sunniva, primary, Fitzgibbon, Sean P, additional, Ciarrusta, Judit, additional, Eyre, Michael, additional, Cordero-Grande, Lucilio, additional, Chew, Andrew, additional, Falconer, Shona, additional, Gale-Grant, Oliver, additional, Harper, Nicholas, additional, Dimitrova, Ralica, additional, Vecchiato, Katy, additional, Fenchel, Daphna, additional, Javed, Ayesha, additional, Earl, Megan, additional, Price, Anthony N, additional, Hughes, Emer, additional, Duff, Eugene P, additional, O’Muircheartaigh, Jonathan, additional, Nosarti, Chiara, additional, Arichi, Tomoki, additional, Rueckert, Daniel, additional, Counsell, Serena, additional, Hajnal, Joseph V, additional, Edwards, A David, additional, McAlonan, Grainne, additional, and Batalle, Dafnis, additional

Published
2022
Full Text
View/download PDF

30. Maturational networks of human fetal brain activity reveal emerging connectivity patterns prior to ex-utero exposure

Author

Karolis, Vyacheslav R., primary, Fitzgibbon, Sean P., additional, Cordero-Grande, Lucilio, additional, Farahibozorg, Seyedeh-Rezvan, additional, Price, Anthony N., additional, Hughes, Emer J., additional, Fetit, Ahmed E., additional, Kyriakopoulou, Vanessa, additional, Pietsch, Maximilian, additional, Rutherford, Mary A., additional, Rueckert, Daniel, additional, Hajnal, Joseph V., additional, Edwards, A. David, additional, O’Muircheartaigh, Jonathan, additional, Duff, Eugene P., additional, and Arichi, Tomoki, additional

Published
2022
Full Text
View/download PDF

32. Development of neonatal brain functional centrality and alterations associated with preterm birth.

Author

Fenn-Moltu, Sunniva, Fitzgibbon, Sean P, Ciarrusta, Judit, Eyre, Michael, Cordero-Grande, Lucilio, Chew, Andrew, Falconer, Shona, Gale-Grant, Oliver, Harper, Nicholas, Dimitrova, Ralica, Vecchiato, Katy, Fenchel, Daphna, Javed, Ayesha, Earl, Megan, Price, Anthony N, Hughes, Emer, Duff, Eugene P, O'Muircheartaigh, Jonathan, Nosarti, Chiara, and Arichi, Tomoki

Published
2023
Full Text
View/download PDF

34. Structural and functional asymmetry of the neonatal cerebral cortex

Author

Williams, Logan Z. J., primary, Fitzgibbon, Sean P., additional, Bozek, Jelena, additional, Winkler, Anderson M., additional, Dimitrova, Ralica, additional, Poppe, Tanya, additional, Schuh, Andreas, additional, Makropoulos, Antonios, additional, Cupitt, John, additional, O’Muircheartaigh, Jonathan, additional, Duff, Eugene P., additional, Cordero-Grande, Lucilio, additional, Price, Anthony N., additional, Hajnal, Joseph V., additional, Rueckert, Daniel, additional, Smith, Stephen M., additional, Edwards, A. David, additional, and Robinson, Emma C., additional

Published
2021
Full Text
View/download PDF

35. Structural and functional asymmetry of the neonatal cerebral cortex

Author

Williams, Logan Z.J., Fitzgibbon, Sean P., Bozek, Jelena, Winkler, Anderson M., Dimitrova, Ralica, Poppe, Tanya, Schuh, Andreas, Makropoulos, Antonis, Cupitt, John, O’Muircheartaigh, Jonathan, Duff, Eugene P., Cordero-Grande, Lucilio, Price, Anthony N., Hajnal, Joseph V., Rueckert, Daniel, Smith, Stephen M., Edwards, A. David, Robinson, and Emma C.

Subjects
Structural Asymmetry, Functional Asymmetry, Neonate, Brain MRI, dHCP
Abstract

Features of brain asymmetry have been implicated in a broad range of cognitive processes. Moreover, deviations in brain asymmetry have been implicated in a broad range of developmental and psychiatric disorders, some of which have been associated with abnormal perinatal neurodevelopment. Using magnetic resonance imaging (MRI), we developed a new spatiotemporal atlas of the cortical surface to investigate structural and functional asymmetries in healthy term-born neonates. and preterm neonates scanned at term-equivalent age during the Developing Human Connectome Project We tested the hypotheses that cortical asymmetries are normally present at term but are impacted by preterm birth.

Published
2021

36. Erratum to: The Developing Human Connectome Project: typical and disrupted perinatal functional connectivity

Author

Eyre, Michael, primary, Fitzgibbon, Sean P, additional, Ciarrusta, Judit, additional, Cordero-Grande, Lucilio, additional, Price, Anthony N, additional, Poppe, Tanya, additional, Schuh, Andreas, additional, Hughes, Emer, additional, O’Keeffe, Camilla, additional, Brandon, Jakki, additional, Cromb, Daniel, additional, Vecchiato, Katy, additional, Andersson, Jesper, additional, Duff, Eugene P, additional, Counsell, Serena J, additional, Smith, Stephen M, additional, Rueckert, Daniel, additional, Hajnal, Joseph V, additional, Arichi, Tomoki, additional, O’Muircheartaigh, Jonathan, additional, Batalle, Dafnis, additional, and Edwards, A David, additional

Published
2021
Full Text
View/download PDF

38. Quantifying noxious-evoked baseline sensitivity in neonates to optimise analgesic trials

Author

Cobo, Maria M, primary, Hartley, Caroline, additional, Gursul, Deniz, additional, Andritsou, Foteini, additional, van der Vaart, Marianne, additional, Schmidt Mellado, Gabriela, additional, Baxter, Luke, additional, Duff, Eugene P, additional, Buckle, Miranda, additional, Evans Fry, Ria, additional, Green, Gabrielle, additional, Hoskin, Amy, additional, Rogers, Richard, additional, Adams, Eleri, additional, Moultrie, Fiona, additional, and Slater, Rebeccah, additional

Published
2021
Full Text
View/download PDF

39. The Developing Human Connectome Project: typical and disrupted perinatal functional connectivity

Author

Eyre, Michael, primary, Fitzgibbon, Sean P, additional, Ciarrusta, Judit, additional, Cordero-Grande, Lucilio, additional, Price, Anthony N, additional, Poppe, Tanya, additional, Schuh, Andreas, additional, Hughes, Emer, additional, O’Keeffe, Camilla, additional, Brandon, Jakki, additional, Cromb, Daniel, additional, Vecchiato, Katy, additional, Andersson, Jesper, additional, Duff, Eugene P, additional, Counsell, Serena J, additional, Smith, Stephen M, additional, Rueckert, Daniel, additional, Hajnal, Joseph V, additional, Arichi, Tomoki, additional, O’Muircheartaigh, Jonathan, additional, Batalle, Dafnis, additional, and Edwards, A David, additional

Published
2021
Full Text
View/download PDF

40. Author response: Quantifying noxious-evoked baseline sensitivity in neonates to optimise analgesic trials

Author

Cobo, Maria M, primary, Hartley, Caroline, additional, Gursul, Deniz, additional, Andritsou, Foteini, additional, van der Vaart, Marianne, additional, Schmidt Mellado, Gabriela, additional, Baxter, Luke, additional, Duff, Eugene P, additional, Buckle, Miranda, additional, Evans Fry, Ria, additional, Green, Gabrielle, additional, Hoskin, Amy, additional, Rogers, Richard, additional, Adams, Eleri, additional, Moultrie, Fiona, additional, and Slater, Rebeccah, additional

Published
2021
Full Text
View/download PDF

41. Brain activity measured by functional brain imaging predicts breathlessness improvement during pulmonary rehabilitation

Author

Finnegan, Sarah L, Browning, Michael, Duff, Eugene, Harmer, Catherine J, Reinecke, Andrea, Rahman, Najib M, and Pattinson, Kyle T S

Abstract

BackgroundChronic breathlessness in chronic obstructive pulmonary disease (COPD) is effectively treated with pulmonary rehabilitation. However, baseline patient characteristics predicting improvements in breathlessness are unknown. This knowledge may provide better understanding of the mechanisms engaged in treating breathlessness and help to individualise therapy. Increasing evidence supports the role of expectation (ie, placebo and nocebo effects) in breathlessness perception. In this study, we tested functional brain imaging markers of breathlessness expectation as predictors of therapeutic response to pulmonary rehabilitation, and asked whether D-cycloserine, a brain-active drug known to influence expectation mechanisms, modulated any predictive model.MethodsData from 71 participants with mild-to-moderate COPD recruited to a randomised double-blind controlled experimental medicine study of D-cycloserine given during pulmonary rehabilitation were analysed (ID: NCT01985750). Baseline variables, including brain-activity, self-report questionnaires responses, clinical measures of respiratory function and drug allocation were used to train machine-learning models to predict the outcome, a minimally clinically relevant change in the Dyspnoea-12 score.ResultsOnly models that included brain imaging markers of breathlessness-expectation successfully predicted improvements in Dyspnoea-12 score (sensitivity 0.88, specificity 0.77). D-cycloserine was independently associated with breathlessness improvement. Models that included only questionnaires and clinical measures did not predict outcome (sensitivity 0.68, specificity 0.2).ConclusionsBrain activity to breathlessness related cues is a strong predictor of clinical improvement in breathlessness over pulmonary rehabilitation. This implies that expectation is key in breathlessness perception. Manipulation of the brain’s expectation pathways (either pharmacological or non-pharmacological) therefore merits further testing in the treatment of chronic breathlessness.

Published
2023
Full Text
View/download PDF

43. Quantifying individual nociceptive sensitivity to optimise analgesic trials in infants

Author

Cobo, Maria M., primary, Hartley, Caroline, additional, Gursul, Deniz, additional, Andritsou, Foteini, additional, van der Vaart, Marianne, additional, Mellado, Gabriela Schmidt, additional, Baxter, Luke, additional, Duff, Eugene P., additional, Buckle, Miranda, additional, Fry, Ria Evans, additional, Green, Gabrielle, additional, Hoskin, Amy, additional, Rogers, Richard, additional, Adams, Eleri, additional, Moultrie, Fiona, additional, and Slater, Rebeccah, additional

Published
2020
Full Text
View/download PDF

44. Opening the Pig to Comparative Neuroimaging: A Common Space Approach Contextualizes the Pig and Human Structural Connectome

Author

Benn, R. Austin, primary, Mars, Rogier B., additional, Xu, Ting, additional, Yee, Jason R., additional, Rodríguez-Esparragoza, Luis, additional, Montesinos, Paula, additional, Manzano-Patron, J.P, additional, Lopez-Martin, Gonzalo, additional, Fuster, Valentin, additional, Sanchez-Gonzalez, Javier, additional, Duff, Eugene P., additional, and Ibañez, Borja, additional

Published
2020
Full Text
View/download PDF

45. Integrating large-scale neuroimaging research datasets: harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets

Author

Bordin, Valentina, primary, Bertani, Ilaria, additional, Mattioli, Irene, additional, Sundaresan, Vaanathi, additional, McCarthy, Paul, additional, Suri, Sana, additional, Zsoldos, Enikő, additional, Filippini, Nicola, additional, Mahmood, Abda, additional, Melazzini, Luca, additional, Laganà, Maria Marcella, additional, Zamboni, Giovanna, additional, Singh-Manoux, Archana, additional, Kivimäki, Mika, additional, Ebmeier, Klaus P, additional, Baselli, Giuseppe, additional, Jenkinson, Mark, additional, Mackay, Clare E, additional, Duff, Eugene P, additional, and Griffanti, Ludovica, additional

Published
2020
Full Text
View/download PDF

50. Modelling subject variability in the spatial and temporal characteristics of functional modes

Author

Harrison, Samuel J; https://orcid.org/0000-0002-5886-2389, Bijsterbosch, Janine D, Segerdahl, Andrew R, Fitzgibbon, Sean P, Farahibozorg, Seyedeh-Rezvan, Duff, Eugene P, Smith, Stephen M, Woolrich, Mark W, Harrison, Samuel J; https://orcid.org/0000-0002-5886-2389, Bijsterbosch, Janine D, Segerdahl, Andrew R, Fitzgibbon, Sean P, Farahibozorg, Seyedeh-Rezvan, Duff, Eugene P, Smith, Stephen M, and Woolrich, Mark W

Abstract

Recent work has highlighted the scale and ubiquity of subject variability in observations from functional MRI data (fMRI). Furthermore, it is highly likely that errors in the estimation of either the spatial presentation of, or the coupling between, functional regions can confound cross-subject analyses, making accurate and unbiased representations of functional data essential for interpreting any downstream analyses. Here, we extend the framework of probabilistic functional modes (PFMs) (Harrison et al., 2015) to capture cross-subject variability not only in the mode spatial maps, but also in the functional coupling between modes and in mode amplitudes. A new implementation of the inference now also allows for the analysis of modern, large-scale data sets, and the combined inference and analysis package, PROFUMO, is available from git.fmrib.ox.ac.uk/samh/profumo. A new implementation of the inference now also allows for the analysis of modern, large-scale data sets. Using simulated data, resting-state data from 1000 subjects collected as part of the Human Connectome Project (Van Essen et al., 2013), and an analysis of 14 subjects in a variety of continuous task-states (Kieliba et al., 2019), we demonstrate how PFMs are able to capture, within a single model, a rich description of how the spatio-temporal structure of resting-state fMRI activity varies across subjects. We also compare the new PFM model to the well established independent component analysis with dual regression (ICA-DR) pipeline. This reveals that, under PFM assumptions, much more of the (behaviorally relevant) cross-subject variability in fMRI activity should be attributed to the variability in spatial maps, and that, after accounting for this, functional coupling between modes primarily reflects current cognitive state. This has fundamental implications for the interpretation of cross-sectional studies of functional connectivity that do not capture cross-subject variability to the same extent as PFM

Published
2020

Catalog

Books, media, physical & digital resources
See catalog results