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2. Genetic variants associated with longitudinal changes in brain structure across the lifespan

Author

Brouwer, Rachel M, Klein, Marieke, Grasby, Katrina L, Schnack, Hugo G, Jahanshad, Neda, Teeuw, Jalmar, Thomopoulos, Sophia I, Sprooten, Emma, Franz, Carol E, Gogtay, Nitin, Kremen, William S, Panizzon, Matthew S, Olde Loohuis, Loes M, Whelan, Christopher D, Aghajani, Moji, Alloza, Clara, Alnæs, Dag, Artiges, Eric, Ayesa-Arriola, Rosa, Barker, Gareth J, Bastin, Mark E, Blok, Elisabet, Bøen, Erlend, Breukelaar, Isabella A, Bright, Joanna K, Buimer, Elizabeth EL, Bülow, Robin, Cannon, Dara M, Ciufolini, Simone, Crossley, Nicolas A, Damatac, Christienne G, Dazzan, Paola, de Mol, Casper L, de Zwarte, Sonja MC, Desrivières, Sylvane, Díaz-Caneja, Covadonga M, Doan, Nhat Trung, Dohm, Katharina, Fröhner, Juliane H, Goltermann, Janik, Grigis, Antoine, Grotegerd, Dominik, Han, Laura KM, Harris, Mathew A, Hartman, Catharina A, Heany, Sarah J, Heindel, Walter, Heslenfeld, Dirk J, Hohmann, Sarah, Ittermann, Bernd, Jansen, Philip R, Janssen, Joost, Jia, Tianye, Jiang, Jiyang, Jockwitz, Christiane, Karali, Temmuz, Keeser, Daniel, Koevoets, Martijn GJC, Lenroot, Rhoshel K, Malchow, Berend, Mandl, René CW, Medel, Vicente, Meinert, Susanne, Morgan, Catherine A, Mühleisen, Thomas W, Nabulsi, Leila, Opel, Nils, de la Foz, Víctor Ortiz-García, Overs, Bronwyn J, Paillère Martinot, Marie-Laure, Redlich, Ronny, Marques, Tiago Reis, Repple, Jonathan, Roberts, Gloria, Roshchupkin, Gennady V, Setiaman, Nikita, Shumskaya, Elena, Stein, Frederike, Sudre, Gustavo, Takahashi, Shun, Thalamuthu, Anbupalam, Tordesillas-Gutiérrez, Diana, van der Lugt, Aad, van Haren, Neeltje EM, Wardlaw, Joanna M, Wen, Wei, Westeneng, Henk-Jan, Wittfeld, Katharina, Zhu, Alyssa H, Zugman, Andre, Armstrong, Nicola J, Bonfiglio, Gaia, Bralten, Janita, Dalvie, Shareefa, Davies, Gail, Di Forti, Marta, Ding, Linda, Donohoe, Gary, Forstner, Andreas J, and Gonzalez-Peñas, Javier

Subjects
Biological Psychology, Psychology, Genetics, Biomedical Imaging, Mental Health, Biotechnology, Human Genome, Prevention, Aging, Brain Disorders, Neurosciences, 2.1 Biological and endogenous factors, Aetiology, Mental health, Neurological, Brain, Genome-Wide Association Study, Humans, Longevity, Magnetic Resonance Imaging, IMAGEN Consortium, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Human brain structure changes throughout the lifespan. Altered brain growth or rates of decline are implicated in a vast range of psychiatric, developmental and neurodegenerative diseases. In this study, we identified common genetic variants that affect rates of brain growth or atrophy in what is, to our knowledge, the first genome-wide association meta-analysis of changes in brain morphology across the lifespan. Longitudinal magnetic resonance imaging data from 15,640 individuals were used to compute rates of change for 15 brain structures. The most robustly identified genes GPR139, DACH1 and APOE are associated with metabolic processes. We demonstrate global genetic overlap with depression, schizophrenia, cognitive functioning, insomnia, height, body mass index and smoking. Gene set findings implicate both early brain development and neurodegenerative processes in the rates of brain changes. Identifying variants involved in structural brain changes may help to determine biological pathways underlying optimal and dysfunctional brain development and aging.

Published
2022

4. In vivo hippocampal subfield volumes in bipolar disorder—A mega‐analysis from The Enhancing Neuro Imaging Genetics through Meta‐Analysis Bipolar Disorder Working Group

Author

Haukvik, Unn K, Gurholt, Tiril P, Nerland, Stener, Elvsåshagen, Torbjørn, Akudjedu, Theophilus N, Alda, Martin, Alnæs, Dag, Alonso‐Lana, Silvia, Bauer, Jochen, Baune, Bernhard T, Benedetti, Francesco, Berk, Michael, Bettella, Francesco, Bøen, Erlend, Bonnín, Caterina M, Brambilla, Paolo, Canales‐Rodríguez, Erick J, Cannon, Dara M, Caseras, Xavier, Dandash, Orwa, Dannlowski, Udo, Delvecchio, Giuseppe, Díaz‐Zuluaga, Ana M, Erp, Theo GM, Fatjó‐Vilas, Mar, Foley, Sonya F, Förster, Katharina, Fullerton, Janice M, Goikolea, José M, Grotegerd, Dominik, Gruber, Oliver, Haarman, Bartholomeus CM, Haatveit, Beathe, Hajek, Tomas, Hallahan, Brian, Harris, Mathew, Hawkins, Emma L, Howells, Fleur M, Hülsmann, Carina, Jahanshad, Neda, Jørgensen, Kjetil N, Kircher, Tilo, Krämer, Bernd, Krug, Axel, Kuplicki, Rayus, Lagerberg, Trine V, Lancaster, Thomas M, Lenroot, Rhoshel K, Lonning, Vera, López‐Jaramillo, Carlos, Malt, Ulrik F, McDonald, Colm, McIntosh, Andrew M, McPhilemy, Genevieve, Meer, Dennis, Melle, Ingrid, Melloni, Elisa MT, Mitchell, Philip B, Nabulsi, Leila, Nenadić, Igor, Oertel, Viola, Oldani, Lucio, Opel, Nils, Otaduy, Maria CG, Overs, Bronwyn J, Pineda‐Zapata, Julian A, Pomarol‐Clotet, Edith, Radua, Joaquim, Rauer, Lisa, Redlich, Ronny, Repple, Jonathan, Rive, Maria M, Roberts, Gloria, Ruhe, Henricus G, Salminen, Lauren E, Salvador, Raymond, Sarró, Salvador, Savitz, Jonathan, Schene, Aart H, Sim, Kang, Soeiro‐de‐Souza, Marcio G, Stäblein, Michael, Stein, Dan J, Stein, Frederike, Tamnes, Christian K, Temmingh, Henk S, Thomopoulos, Sophia I, Veltman, Dick J, Vieta, Eduard, Waltemate, Lena, Westlye, Lars T, Whalley, Heather C, Sämann, Philipp G, Thompson, Paul M, Ching, Christopher RK, Andreassen, Ole A, Agartz, Ingrid, and Group, ENIGMA Bipolar Disorder Working

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Brain Disorders, Mental Health, Serious Mental Illness, Neurosciences, Biomedical Imaging, Bipolar Disorder, Mental health, Genetics, Hippocampus, Humans, Magnetic Resonance Imaging, Neuroimaging, ENIGMA Bipolar Disorder Working Group, bipolar disorder subtype, hippocampus, large-scale, lithium, psychosis, structural brain MRI, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract

The hippocampus consists of anatomically and functionally distinct subfields that may be differentially involved in the pathophysiology of bipolar disorder (BD). Here we, the Enhancing NeuroImaging Genetics through Meta-Analysis Bipolar Disorder workinggroup, study hippocampal subfield volumetry in BD. T1-weighted magnetic resonance imaging scans from 4,698 individuals (BD = 1,472, healthy controls [HC] = 3,226) from 23 sites worldwide were processed with FreeSurfer. We used linear mixed-effects models and mega-analysis to investigate differences in hippocampal subfield volumes between BD and HC, followed by analyses of clinical characteristics and medication use. BD showed significantly smaller volumes of the whole hippocampus (Cohen's d = -0.20), cornu ammonis (CA)1 (d = -0.18), CA2/3 (d = -0.11), CA4 (d = -0.19), molecular layer (d = -0.21), granule cell layer of dentate gyrus (d = -0.21), hippocampal tail (d = -0.10), subiculum (d = -0.15), presubiculum (d = -0.18), and hippocampal amygdala transition area (d = -0.17) compared to HC. Lithium users did not show volume differences compared to HC, while non-users did. Antipsychotics or antiepileptic use was associated with smaller volumes. In this largest study of hippocampal subfields in BD to date, we show widespread reductions in nine of 12 subfields studied. The associations were modulated by medication use and specifically the lack of differences between lithium users and HC supports a possible protective role of lithium in BD.

Published
2022

5. Reproducibility in the absence of selective reporting: An illustration from large‐scale brain asymmetry research

Author

Kong, Xiang‐Zhen, Mathias, Samuel R, Guadalupe, Tulio, Abé, Christoph, Agartz, Ingrid, Akudjedu, Theophilus N, Aleman, Andre, Alhusaini, Saud, Allen, Nicholas B, Ames, David, Andreassen, Ole A, Vasquez, Alejandro Arias, Armstrong, Nicola J, Asherson, Phil, Bergo, Felipe, Bastin, Mark E, Batalla, Albert, Bauer, Jochen, Baune, Bernhard T, Baur‐Streubel, Ramona, Biederman, Joseph, Blaine, Sara K, Boedhoe, Premika, Bøen, Erlend, Bose, Anushree, Bralten, Janita, Brandeis, Daniel, Brem, Silvia, Brodaty, Henry, Yüksel, Dilara, Brooks, Samantha J, Buitelaar, Jan, Bürger, Christian, Bülow, Robin, Calhoun, Vince, Calvo, Anna, Canales‐Rodríguez, Erick Jorge, Cannon, Dara M, Caparelli, Elisabeth C, Castellanos, Francisco X, Cendes, Fernando, Chaim‐Avancini, Tiffany Moukbel, Chantiluke, Kaylita, Chen, Qun‐lin, Chen, Xiayu, Cheng, Yuqi, Christakou, Anastasia, Clark, Vincent P, Coghill, David, Connolly, Colm G, Conzelmann, Annette, Córdova‐Palomera, Aldo, Cousijn, Janna, Crow, Tim, Cubillo, Ana, Dannlowski, Udo, de Bruttopilo, Sara Ambrosino, de Zeeuw, Patrick, Deary, Ian J, Demeter, Damion V, Di Martino, Adriana, Dickie, Erin W, Dietsche, Bruno, Doan, Nhat Trung, Doherty, Colin P, Doyle, Alysa, Durston, Sarah, Earl, Eric, Ehrlich, Stefan, Ekman, Carl Johan, Elvsåshagen, Torbjørn, Epstein, Jeffery N, Fair, Damien A, Faraone, Stephen V, Fernández, Guillén, Flint, Claas, Filho, Geraldo Busatto, Förster, Katharina, Fouche, Jean‐Paul, Foxe, John J, Frodl, Thomas, Fuentes‐Claramonte, Paola, Fullerton, Janice M, Garavan, Hugh, do Santos Garcia, Danielle, Gotlib, Ian H, Goudriaan, Anna E, Grabe, Hans Jörgen, Groenewold, Nynke A, Grotegerd, Dominik, Gruber, Oliver, Gurholt, Tiril, Haavik, Jan, Hahn, Tim, Hansell, Narelle K, Harris, Mathew A, Hartman, Catharina A, del Carmen Valdés Hernández, Maria, and Heslenfeld, Dirk

Subjects
Biological Psychology, Psychology, Neurosciences, Neurological, Adolescent, Adult, Aged, Brain Cortical Thickness, Cerebral Cortex, Datasets as Topic, Humans, Magnetic Resonance Imaging, Middle Aged, Multicenter Studies as Topic, Neuroimaging, Publication Bias, Reproducibility of Results, Young Adult, ENIGMA Laterality Working Group, P-hacking, multisite collaboration, publication bias, reproducibility, team science, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract

The problem of poor reproducibility of scientific findings has received much attention over recent years, in a variety of fields including psychology and neuroscience. The problem has been partly attributed to publication bias and unwanted practices such as p-hacking. Low statistical power in individual studies is also understood to be an important factor. In a recent multisite collaborative study, we mapped brain anatomical left-right asymmetries for regional measures of surface area and cortical thickness, in 99 MRI datasets from around the world, for a total of over 17,000 participants. In the present study, we revisited these hemispheric effects from the perspective of reproducibility. Within each dataset, we considered that an effect had been reproduced when it matched the meta-analytic effect from the 98 other datasets, in terms of effect direction and significance threshold. In this sense, the results within each dataset were viewed as coming from separate studies in an "ideal publishing environment," that is, free from selective reporting and p hacking. We found an average reproducibility rate of 63.2% (SD = 22.9%, min = 22.2%, max = 97.0%). As expected, reproducibility was higher for larger effects and in larger datasets. Reproducibility was not obviously related to the age of participants, scanner field strength, FreeSurfer software version, cortical regional measurement reliability, or regional size. These findings constitute an empirical illustration of reproducibility in the absence of publication bias or p hacking, when assessing realistic biological effects in heterogeneous neuroscience data, and given typically-used sample sizes.

Published
2022

6. Epigenome-wide meta-analysis of blood DNA methylation and its association with subcortical volumes: findings from the ENIGMA Epigenetics Working Group

Author

Jia, Tianye, Chu, Congying, Liu, Yun, van Dongen, Jenny, Papastergios, Evangelos, Armstrong, Nicola J, Bastin, Mark E, Carrillo-Roa, Tania, den Braber, Anouk, Harris, Mathew, Jansen, Rick, Liu, Jingyu, Luciano, Michelle, Ori, Anil PS, Roiz Santiañez, Roberto, Ruggeri, Barbara, Sarkisyan, Daniil, Shin, Jean, Sungeun, Kim, Tordesillas Gutiérrez, Diana, van’t Ent, Dennis, Ames, David, Artiges, Eric, Bakalkin, Georgy, Banaschewski, Tobias, Bokde, Arun LW, Brodaty, Henry, Bromberg, Uli, Brouwer, Rachel, Büchel, Christian, Burke Quinlan, Erin, Cahn, Wiepke, de Zubicaray, Greig I, Ehrlich, Stefan, Ekström, Tomas J, Flor, Herta, Fröhner, Juliane H, Frouin, Vincent, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Hoare, Jacqueline, Ittermann, Bernd, Jahanshad, Neda, Jiang, Jiyang, Kwok, John B, Martin, Nicholas G, Martinot, Jean-Luc, Mather, Karen A, McMahon, Katie L, McRae, Allan F, Nees, Frauke, Papadopoulos Orfanos, Dimitri, Paus, Tomáš, Poustka, Luise, Sämann, Philipp G, Schofield, Peter R, Smolka, Michael N, Stein, Dan J, Strike, Lachlan T, Teeuw, Jalmar, Thalamuthu, Anbupalam, Trollor, Julian, Walter, Henrik, Wardlaw, Joanna M, Wen, Wei, Whelan, Robert, Apostolova, Liana G, Binder, Elisabeth B, Boomsma, Dorret I, Calhoun, Vince, Crespo-Facorro, Benedicto, Deary, Ian J, Hulshoff Pol, Hilleke, Ophoff, Roel A, Pausova, Zdenka, Sachdev, Perminder S, Saykin, Andrew, Wright, Margaret J, Thompson, Paul M, Schumann, Gunter, and Desrivières, Sylvane

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Mental Health, Neurosciences, Genetics, Human Genome, Diabetes, Neurodegenerative, 2.1 Biological and endogenous factors, Aetiology, Neurological, Mental health, CpG Islands, DNA Methylation, Epigenesis, Genetic, Epigenome, Genome-Wide Association Study, Humans, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

DNA methylation, which is modulated by both genetic factors and environmental exposures, may offer a unique opportunity to discover novel biomarkers of disease-related brain phenotypes, even when measured in other tissues than brain, such as blood. A few studies of small sample sizes have revealed associations between blood DNA methylation and neuropsychopathology, however, large-scale epigenome-wide association studies (EWAS) are needed to investigate the utility of DNA methylation profiling as a peripheral marker for the brain. Here, in an analysis of eleven international cohorts, totalling 3337 individuals, we report epigenome-wide meta-analyses of blood DNA methylation with volumes of the hippocampus, thalamus and nucleus accumbens (NAcc)-three subcortical regions selected for their associations with disease and heritability and volumetric variability. Analyses of individual CpGs revealed genome-wide significant associations with hippocampal volume at two loci. No significant associations were found for analyses of thalamus and nucleus accumbens volumes. Cluster-based analyses revealed additional differentially methylated regions (DMRs) associated with hippocampal volume. DNA methylation at these loci affected expression of proximal genes involved in learning and memory, stem cell maintenance and differentiation, fatty acid metabolism and type-2 diabetes. These DNA methylation marks, their interaction with genetic variants and their impact on gene expression offer new insights into the relationship between epigenetic variation and brain structure and may provide the basis for biomarker discovery in neurodegeneration and neuropsychiatric conditions.

Published
2021

7. Analysis of an Automated Machine Learning Approach in Brain Predictive Modelling: A data-driven approach to Predict Brain Age from Cortical Anatomical Measures

Author

Dafflon, Jessica, Pinaya, Walter H. L, Turkheimer, Federico, Cole, James H., Leech, Robert, Harris, Mathew A., Cox, Simon R., Whalley, Heather C., McIntosh, Andrew M., and Hellyer, Peter J.

Subjects
Quantitative Biology - Neurons and Cognition, Statistics - Machine Learning
Abstract

The use of machine learning (ML) algorithms has significantly increased in neuroscience. However, from the vast extent of possible ML algorithms, which one is the optimal model to predict the target variable? What are the hyperparameters for such a model? Given the plethora of possible answers to these questions, in the last years, automated machine learning (autoML) has been gaining attention. Here, we apply an autoML library called TPOT which uses a tree-based representation of machine learning pipelines and conducts a genetic-programming based approach to find the model and its hyperparameters that more closely predicts the subject's true age. To explore autoML and evaluate its efficacy within neuroimaging datasets, we chose a problem that has been the focus of previous extensive study: brain age prediction. Without any prior knowledge, TPOT was able to scan through the model space and create pipelines that outperformed the state-of-the-art accuracy for Freesurfer-based models using only thickness and volume information for anatomical structure. In particular, we compared the performance of TPOT (mean accuracy error (MAE): $4.612 \pm .124$ years) and a Relevance Vector Regression (MAE $5.474 \pm .140$ years). TPOT also suggested interesting combinations of models that do not match the current most used models for brain prediction but generalise well to unseen data. AutoML showed promising results as a data-driven approach to find optimal models for neuroimaging applications.

Published
2019

9. The genetic architecture of the human cerebral cortex

Author

Grasby, Katrina L, Jahanshad, Neda, Painter, Jodie N, Colodro-Conde, Lucía, Bralten, Janita, Hibar, Derrek P, Lind, Penelope A, Pizzagalli, Fabrizio, Ching, Christopher RK, McMahon, Mary Agnes B, Shatokhina, Natalia, Zsembik, Leo CP, Thomopoulos, Sophia I, Zhu, Alyssa H, Strike, Lachlan T, Agartz, Ingrid, Alhusaini, Saud, Almeida, Marcio AA, Alnæs, Dag, Amlien, Inge K, Andersson, Micael, Ard, Tyler, Armstrong, Nicola J, Ashley-Koch, Allison, Atkins, Joshua R, Bernard, Manon, Brouwer, Rachel M, Buimer, Elizabeth EL, Bülow, Robin, Bürger, Christian, Cannon, Dara M, Chakravarty, Mallar, Chen, Qiang, Cheung, Joshua W, Couvy-Duchesne, Baptiste, Dale, Anders M, Dalvie, Shareefa, de Araujo, Tânia K, de Zubicaray, Greig I, de Zwarte, Sonja MC, Braber, Anouk den, Doan, Nhat Trung, Dohm, Katharina, Ehrlich, Stefan, Engelbrecht, Hannah-Ruth, Erk, Susanne, Fan, Chun Chieh, Fedko, Iryna O, Foley, Sonya F, Ford, Judith M, Fukunaga, Masaki, Garrett, Melanie E, Ge, Tian, Giddaluru, Sudheer, Goldman, Aaron L, Green, Melissa J, Groenewold, Nynke A, Grotegerd, Dominik, Gurholt, Tiril P, Gutman, Boris A, Hansell, Narelle K, Harris, Mathew A, Harrison, Marc B, Haswell, Courtney C, Hauser, Michael, Herms, Stefan, Heslenfeld, Dirk J, Ho, New Fei, Hoehn, David, Hoffmann, Per, Holleran, Laurena, Hoogman, Martine, Hottenga, Jouke-Jan, Ikeda, Masashi, Janowitz, Deborah, Jansen, Iris E, Jia, Tianye, Jockwitz, Christiane, Kanai, Ryota, Karama, Sherif, Kasperaviciute, Dalia, Kaufmann, Tobias, Kelly, Sinead, Kikuchi, Masataka, Klein, Marieke, Knapp, Michael, Knodt, Annchen R, Krämer, Bernd, Lam, Max, Lancaster, Thomas M, Lee, Phil H, Lett, Tristram A, Lewis, Lindsay B, Lopes-Cendes, Iscia, Luciano, Michelle, Macciardi, Fabio, Marquand, Andre F, Mathias, Samuel R, Melzer, Tracy R, and Milaneschi, Yuri

Subjects
Biological Sciences, Genetics, Neurosciences, Mental Health, Brain Disorders, Stem Cell Research, 2.1 Biological and endogenous factors, Aetiology, Neurological, Attention Deficit Disorder with Hyperactivity, Brain Mapping, Cerebral Cortex, Cognition, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Humans, Magnetic Resonance Imaging, Organ Size, Parkinson Disease, Alzheimer’s Disease Neuroimaging Initiative, CHARGE Consortium, EPIGEN Consortium, IMAGEN Consortium, SYS Consortium, Parkinson’s Progression Markers Initiative, Enhancing NeuroImaging Genetics through Meta-Analysis Consortium (ENIGMA)—Genetics working group, General Science & Technology
Abstract

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.

Published
2020

11. Integrated methylome and phenome study of the circulating proteome reveals markers pertinent to brain health

Author

Gadd, Danni A., Hillary, Robert F., McCartney, Daniel L., Shi, Liu, Stolicyn, Aleks, Robertson, Neil A., Walker, Rosie M., McGeachan, Robert I., Campbell, Archie, Xueyi, Shen, Barbu, Miruna C., Green, Claire, Morris, Stewart W., Harris, Mathew A., Backhouse, Ellen V., Wardlaw, Joanna M., Steele, J. Douglas, Oyarzún, Diego A., Muniz-Terrera, Graciela, Ritchie, Craig, Nevado-Holgado, Alejo, Chandra, Tamir, Hayward, Caroline, Evans, Kathryn L., Porteous, David J., Cox, Simon R., Whalley, Heather C., McIntosh, Andrew M., and Marioni, Riccardo E.

Published
2022
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13. Blood-based epigenome-wide analyses of cognitive abilities

Author

McCartney, Daniel L., Hillary, Robert F., Conole, Eleanor L. S., Banos, Daniel Trejo, Gadd, Danni A., Walker, Rosie M., Nangle, Cliff, Flaig, Robin, Campbell, Archie, Murray, Alison D., Maniega, Susana Muñoz, Valdés-Hernández, María del C., Harris, Mathew A., Bastin, Mark E., Wardlaw, Joanna M., Harris, Sarah E., Porteous, David J., Tucker-Drob, Elliot M., McIntosh, Andrew M., Evans, Kathryn L., Deary, Ian J., Cox, Simon R., Robinson, Matthew R., and Marioni, Riccardo E.

Published
2022
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14. General and specific patterns of cortical gene expression as spatial correlates of complex cognitive functioning

Author

Moodie, Joanna E., primary, Harris, Sarah E., additional, Harris, Mathew A., additional, Buchanan, Colin R., additional, Davies, Gail, additional, Taylor, Adele, additional, Redmond, Paul, additional, Liewald, David C. M., additional, Valdés Hernández, Maria del C., additional, Shenkin, Susan, additional, Russ, Tom C., additional, Muñoz Maniega, Susana, additional, Luciano, Michelle, additional, Corley, Janie, additional, Stolicyn, Aleks, additional, Shen, Xueyi, additional, Steele, Douglas, additional, Waiter, Gordon, additional, Sandu, Anca‐Larisa, additional, Bastin, Mark E., additional, Wardlaw, Joanna M., additional, McIntosh, Andrew, additional, Whalley, Heather, additional, Tucker‐Drob, Elliot M., additional, Deary, Ian J., additional, and Cox, Simon R., additional

Published
2024
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15. Figure 2 from: Pertierra LR, Varliero G, Barbosa A, Biersma EM, Convey P, Chown SL, Cowan D, De Los Rios A, Escribano-Alvarez P, Fontaneto D, Fraser C, Harris M, Hughes K, Griffiths H, le Roux P, Liu XP, Lynch H, Majewska R, Martinez PA, Molina-Montenegro M, Olalla-Tarraga MA, Peck L, Quesada A, Ronquillo C, Ropert-Coudert Y, Sancho L, Terauds A, Vianna J, Wilmotte A, Hortal J, Greve M (2024) TerrANTALife 1.0 Biodiversity data checklist of known Antarctic terrestrial and freshwater life forms. Biodiversity Data Journal 12: e106199. https://doi.org/10.3897/BDJ.12.e106199

Author

Pertierra, Luis, primary, Varliero, Gilda, additional, Barbosa, Andrés, additional, Biersma, Elisabeth, additional, Convey, Peter, additional, Chown, Steven, additional, Cowan, Don, additional, De Los Rios, Asunción, additional, Escribano-Alvarez, Pablo, additional, Fontaneto, Diego, additional, Fraser, Ceridwen, additional, Harris, Mathew, additional, Hughes, Kevin, additional, Griffiths, Huw, additional, le Roux, Peter, additional, Liu, Xiaoyue, additional, Lynch, Heather, additional, Majewska, Roksana, additional, Martinez, Pablo, additional, Molina-Montenegro, Marco, additional, Olalla-Tarraga, Miguel, additional, Peck, Lloyd, additional, Quesada, Antonio, additional, Ronquillo, Cristina, additional, Ropert-Coudert, Yan, additional, Sancho, Leopoldo, additional, Terauds, Aleks, additional, Vianna, Juliana, additional, Wilmotte, Annick, additional, Hortal, Joaquín, additional, and Greve, Michelle, additional

Published
2024
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16. Figure 1 from: Pertierra LR, Varliero G, Barbosa A, Biersma EM, Convey P, Chown SL, Cowan D, De Los Rios A, Escribano-Alvarez P, Fontaneto D, Fraser C, Harris M, Hughes K, Griffiths H, le Roux P, Liu XP, Lynch H, Majewska R, Martinez PA, Molina-Montenegro M, Olalla-Tarraga MA, Peck L, Quesada A, Ronquillo C, Ropert-Coudert Y, Sancho L, Terauds A, Vianna J, Wilmotte A, Hortal J, Greve M (2024) TerrANTALife 1.0 Biodiversity data checklist of known Antarctic terrestrial and freshwater life forms. Biodiversity Data Journal 12: e106199. https://doi.org/10.3897/BDJ.12.e106199

Author

Pertierra, Luis, primary, Varliero, Gilda, additional, Barbosa, Andrés, additional, Biersma, Elisabeth, additional, Convey, Peter, additional, Chown, Steven, additional, Cowan, Don, additional, De Los Rios, Asunción, additional, Escribano-Alvarez, Pablo, additional, Fontaneto, Diego, additional, Fraser, Ceridwen, additional, Harris, Mathew, additional, Hughes, Kevin, additional, Griffiths, Huw, additional, le Roux, Peter, additional, Liu, Xiaoyue, additional, Lynch, Heather, additional, Majewska, Roksana, additional, Martinez, Pablo, additional, Molina-Montenegro, Marco, additional, Olalla-Tarraga, Miguel, additional, Peck, Lloyd, additional, Quesada, Antonio, additional, Ronquillo, Cristina, additional, Ropert-Coudert, Yan, additional, Sancho, Leopoldo, additional, Terauds, Aleks, additional, Vianna, Juliana, additional, Wilmotte, Annick, additional, Hortal, Joaquín, additional, and Greve, Michelle, additional

Published
2024
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17. Supplementary material 1 from: Pertierra LR, Varliero G, Barbosa A, Biersma EM, Convey P, Chown SL, Cowan D, De Los Rios A, Escribano-Alvarez P, Fontaneto D, Fraser C, Harris M, Hughes K, Griffiths H, le Roux P, Liu XP, Lynch H, Majewska R, Martinez PA, Molina-Montenegro M, Olalla-Tarraga MA, Peck L, Quesada A, Ronquillo C, Ropert-Coudert Y, Sancho L, Terauds A, Vianna J, Wilmotte A, Hortal J, Greve M (2024) TerrANTALife 1.0 Biodiversity data checklist of known Antarctic terrestrial and freshwater life forms. Biodiversity Data Journal 12: e106199. https://doi.org/10.3897/BDJ.12.e106199

Author

Pertierra, Luis, primary, Varliero, Gilda, additional, Barbosa, Andrés, additional, Biersma, Elisabeth, additional, Convey, Peter, additional, Chown, Steven, additional, Cowan, Don, additional, De Los Rios, Asunción, additional, Escribano-Alvarez, Pablo, additional, Fontaneto, Diego, additional, Fraser, Ceridwen, additional, Harris, Mathew, additional, Hughes, Kevin, additional, Griffiths, Huw, additional, le Roux, Peter, additional, Liu, Xiaoyue, additional, Lynch, Heather, additional, Majewska, Roksana, additional, Martinez, Pablo, additional, Molina-Montenegro, Marco, additional, Olalla-Tarraga, Miguel, additional, Peck, Lloyd, additional, Quesada, Antonio, additional, Ronquillo, Cristina, additional, Ropert-Coudert, Yan, additional, Sancho, Leopoldo, additional, Terauds, Aleks, additional, Vianna, Juliana, additional, Wilmotte, Annick, additional, Hortal, Joaquín, additional, and Greve, Michelle, additional

Published
2024
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18. TerrANTALife 1.0 Biodiversity data checklist of known Antarctic terrestrial and freshwater life forms

Author

Pertierra, Luis, primary, Varliero, Gilda, additional, Barbosa, Andrés, additional, Biersma, Elisabeth, additional, Convey, Peter, additional, Chown, Steven, additional, Cowan, Don, additional, De Los Rios, Asunción, additional, Escribano-Alvarez, Pablo, additional, Fontaneto, Diego, additional, Fraser, Ceridwen, additional, Harris, Mathew, additional, Hughes, Kevin, additional, Griffiths, Huw, additional, le Roux, Peter, additional, Liu, Xiaoyue, additional, Lynch, Heather, additional, Majewska, Roksana, additional, Martinez, Pablo, additional, Molina-Montenegro, Marco, additional, Olalla-Tarraga, Miguel, additional, Peck, Lloyd, additional, Quesada, Antonio, additional, Ronquillo, Cristina, additional, Ropert-Coudert, Yan, additional, Sancho, Leopoldo, additional, Terauds, Aleks, additional, Vianna, Juliana, additional, Wilmotte, Annick, additional, Hortal, Joaquín, additional, and Greve, Michelle, additional

Published
2024
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19. Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders: Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group

Author

Opel, Nils, Thalamuthu, Anbupalam, Milaneschi, Yuri, Grotegerd, Dominik, Flint, Claas, Leenings, Ramona, Goltermann, Janik, Richter, Maike, Hahn, Tim, Woditsch, Georg, Berger, Klaus, Hermesdorf, Marco, McIntosh, Andrew, Whalley, Heather C., Harris, Mathew A., MacMaster, Frank P., Walter, Henrik, Veer, Ilya M., Frodl, Thomas, Carballedo, Angela, Krug, Axel, Nenadic, Igor, Kircher, Tilo, Aleman, Andre, Groenewold, Nynke A., Stein, Dan J., Soares, Jair C., Zunta-Soares, Giovana B., Mwangi, Benson, Wu, Mon-Ju, Walter, Martin, Li, Meng, Harrison, Ben J., Davey, Christopher G., Cullen, Kathryn R., Klimes-Dougan, Bonnie, Mueller, Bryon A., Sämann, Philipp G., Penninx, Brenda, Nawijn, Laura, Veltman, Dick J., Aftanas, Lyubomir, Brak, Ivan V., Filimonova, Elena A., Osipov, Evgeniy A., Reneman, Liesbeth, Schrantee, Anouk, Grabe, Hans J., Van der Auwera, Sandra, Wittfeld, Katharina, Hosten, Norbert, Völzke, Henry, Sim, Kang, Gotlib, Ian H., Sacchet, Matthew D., Lagopoulos, Jim, Hatton, Sean N., Hickie, Ian, Pozzi, Elena, Thompson, Paul M., Jahanshad, Neda, Schmaal, Lianne, Baune, Bernhard T., and Dannlowski, Udo

Published
2021
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20. Structural brain correlates of serum and epigenetic markers of inflammation in major depressive disorder

Author

Green, Claire, Shen, Xueyi, Stevenson, Anna J., Conole, Eleanor L.S., Harris, Mathew A., Barbu, Miruna C., Hawkins, Emma L., Adams, Mark J., Hillary, Robert F., Lawrie, Stephen M., Evans, Kathryn L., Walker, Rosie M., Morris, Stewart W., Porteous, David J., Wardlaw, Joanna M., Steele, J Douglas, Waiter, Gordon D., Sandu, Anca-Larisa, Campbell, Archie, Marioni, Riccardo E., Cox, Simon R., Cavanagh, Jonathan, McIntosh, Andrew M., and Whalley, Heather C.

Published
2021
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22. Hair glucocorticoids are associated with childhood adversity, depressive symptoms and reduced global and lobar grey matter in Generation Scotland

Author

Green, Claire, Stolicyn, Aleks, Harris, Mathew A., Shen, Xueyi, Romaniuk, Liana, Barbu, Miruna C., Hawkins, Emma L., Wardlaw, Joanna M., Steele, J. Douglas, Waiter, Gordon D., Sandu, Anca-Larisa, Campbell, Archie, Porteous, David J., Seckl, Jonathan R., Lawrie, Stephen M., Reynolds, Rebecca M., Cavanagh, Jonathan, McIntosh, Andrew M., and Whalley, Heather C.

Published
2021
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23. White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group

Author

van Velzen, Laura S., Kelly, Sinead, Isaev, Dmitry, Aleman, Andre, Aftanas, Lyubomir I., Bauer, Jochen, Baune, Bernhard T., Brak, Ivan V., Carballedo, Angela, Connolly, Colm G., Couvy-Duchesne, Baptiste, Cullen, Kathryn R., Danilenko, Konstantin V., Dannlowski, Udo, Enneking, Verena, Filimonova, Elena, Förster, Katharina, Frodl, Thomas, Gotlib, Ian H., Groenewold, Nynke A., Grotegerd, Dominik, Harris, Mathew A., Hatton, Sean N., Hawkins, Emma L., Hickie, Ian B., Ho, Tiffany C., Jansen, Andreas, Kircher, Tilo, Klimes-Dougan, Bonnie, Kochunov, Peter, Krug, Axel, Lagopoulos, Jim, Lee, Renick, Lett, Tristram A., Li, Meng, MacMaster, Frank P., Martin, Nicholas G., McIntosh, Andrew M., McLellan, Quinn, Meinert, Susanne, Nenadić, Igor, Osipov, Evgeny, Penninx, Brenda W. J. H., Portella, Maria J., Repple, Jonathan, Roos, Annerine, Sacchet, Matthew D., Sämann, Philipp G., Schnell, Knut, Shen, Xueyi, Sim, Kang, Stein, Dan J., van Tol, Marie-Jose, Tomyshev, Alexander S., Tozzi, Leonardo, Veer, Ilya M., Vermeiren, Robert, Vives-Gilabert, Yolanda, Walter, Henrik, Walter, Martin, van der Wee, Nic J. A., van der Werff, Steven J. A., Schreiner, Melinda Westlund, Whalley, Heather C., Wright, Margaret J., Yang, Tony T., Zhu, Alyssa, Veltman, Dick J., Thompson, Paul M., Jahanshad, Neda, and Schmaal, Lianne

Published
2020
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24. Navigational strategy switching in ageing

Author

Harris, Mathew Alan, Wolbers, Thomas, Morris, Richard, and Wood, Emma

Subjects
612.6, navigation, ageing, strategy switching, age-related impairment, prefrontal cortex
Abstract

With advancing age, many cognitive faculties deteriorate, and navigation abilities may be among those most affected. The majority of previous work investigating navigation impairments in ageing has focused on allocentric processing, attributing deficits to hippocampal dysfunction. However, real-world navigation is dependent upon numerous different strategies, as well as the ability to flexibly switch between them. Outside the context of navigation, it has been demonstrated that strategy switching, thought to be coordinated by regions of prefrontal cortex and the locus coeruleus-noradrenergic system, is also susceptible to the effects of ageing. Deficits in navigational strategy switching, and prefrontal or noradrenergic dysfunction, are therefore also likely to contribute to age-related navigation impairments. The work presented in this thesis aimed to explore age-related impairments in strategy switching within the context of navigation, and the underlying neural mechanisms in terms of a prefrontal-noradrenergic model of switching. The studies presented in Chapter Three assessed the use of allocentric and egocentric navigational strategies by young and older people. Older participants tended to use an egocentric strategy where an allocentric strategy was required, possibly due to a difficulty in switching to the appropriate allocentric strategy. In Chapter Four, I provide an account of two studies directly assessing navigational strategy switching, using two different tasks based in virtual reality. The first study utilised a virtual adaptation of the plus maze task, involving switching between an allocentric place strategy and an egocentric response strategy, and demonstrated that older participants were specifically impaired at switching to the place strategy. The second study used a more realistic task set in a virtual town environment, which involved switching from an egocentric route-following strategy to an allocentric wayfinding strategy, and also demonstrated an age-related deficit in switching to an allocentric strategy. In Chapter Five, I begin to explore the mechanisms underlying impaired navigational strategy switching in ageing. Firstly, I describe a further behavioural study that used variants of the virtual plus maze and a navigational gambling task to demonstrate a contribution of impaired decision making to the deficit in switching to an allocentric strategy. This indicates that the deficit can be attributed, at least in part, to prefrontal dysfunction. A second study presented in the same chapter demonstrated that practising orienteering does not protect against decline in navigational strategy switching ability with ageing. Chapter Six provides an account of my direct assessment of the neural bases of navigational strategy switching using functional magnetic resonance imaging. In young subjects, I found some evidence in support of the roles of prefrontal regions in navigational strategy switching. However, I was unable to complete development of a task suitable for assessing age differences in functional activation of brain regions involved in navigational strategy switching. The final experimental study, included in Chapter Seven, assessed pupil size and heart rate as physiological correlates of noradrenergic activity during performance of the virtual plus maze. Both young and old participants demonstrated a noradrenergic response to all strategy changes, suggesting that impairments are more likely attributable to dysfunction of prefrontal cortex than of the locus coeruleus, although some subtle effects suggested that noradrenergic dysfunction does have some effect on navigational strategy switching deficits. In the same chapter, I report the results of a meta-analysis of data from five of the preceding studies, suggesting that deficits in both strategy switching and allocentric processing combine to produce a greater impairment in switching to an allocentric strategy. The main finding of this series of studies is that navigational strategy switching is impaired in ageing, which may contribute to the more widely reported difficulties that older people have with navigation. My work also provides evidence in support of a prefrontal-noradrenergic model of navigational strategy switching, and suggests that dysfunction of prefrontal cortex and, to a lesser extent, the locus coeruleus-noradrenergic system is responsible for decline in navigational strategy switching ability with ageing. In conclusion, this thesis draws attention to the important role of deficient executive processing and dysfunction of extra-hippocampal brain regions in age-related navigation impairments.

Published
2014

26. Complete Aorto-iliac Occlusion Dilemma.

Author

Hamish, Maher, Portou, Mark, Lim, Chung, Abdulla, Shahenda, Benaragma, Shanka, Sayed, Mohamed Hosny, Kafeza, Marina, Cruddas, Lucinda, Harris, Mathew, and Tsui, Janice

Subjects
DILEMMA
Published
2024
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27. Examining the neurostructural architecture of intelligence: The Lothian Birth Cohort 1936 Study

Author

Page, Danielle, primary, Buchanan, Colin, additional, Harris, Mathew, additional, Moodie, Joanna, additional, Taylor, Adele M., additional, del C. Valdés Hernández, Maria, additional, Maniega, Susana Muñoz, additional, Corley, Janie, additional, Bastin, Mark E., additional, Wardlaw, Joanna M., additional, Deary, Ian, additional, Russ, Tom, additional, and Cox, Simon R., additional

Published
2023
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28. Brain structural correlates of insomnia severity in 1053 individuals with major depressive disorder: results from the ENIGMA MDD Working Group

Author

Leerssen, Jeanne, Blanken, Tessa F., Pozzi, Elena, Jahanshad, Neda, Aftanas, Lyubomir, Andreassen, Ole A., Baune, Bernhard T., Brack, Ivan, Carballedo, Angela, Ching, Christopher R. K., Dannlowski, Udo, Dohm, Katharina, Enneking, Verena, Filimonova, Elena, Fingas, Stella M., Frodl, Thomas, Godlewska, Beata R., Goltermann, Janik, Gotlib, Ian H., Grotegerd, Dominik, Gruber, Oliver, Harris, Mathew A., Hatton, Sean N., Hawkins, Emma, Hickie, Ian B., Jaworska, Natalia, Kircher, Tilo, Krug, Axel, Lagopoulos, Jim, Lemke, Hannah, Li, Meng, MacMaster, Frank P., McIntosh, Andrew M., McLellan, Quinn, Meinert, Susanne, Mwangi, Benson, Nenadić, Igor, Osipov, Evgeny, Portella, Maria J., Redlich, Ronny, Repple, Jonathan, Sacchet, Matthew D., Sämann, Philipp G., Simulionyte, Egle, Soares, Jair C., Walter, Martin, Watanabe, Norio, Whalley, Heather C., Yüksel, Dilara, Veltman, Dick J., Thompson, Paul M., Schmaal, Lianne, and Van Someren, Eus J. W.

Published
2020
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30. Correction: Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders

Author

Opel, Nils, Thalamuthu, Anbupalam, Milaneschi, Yuri, Grotegerd, Dominik, Flint, Claas, Leenings, Ramona, Goltermann, Janik, Richter, Maike, Hahn, Tim, Woditsch, Georg, Berger, Klaus, Hermesdorf, Marco, McIntosh, Andrew, Whalley, Heather C., Harris, Mathew A., MacMaster, Frank P., Walter, Henrik, Veer, Ilya M., Frodl, Thomas, Carballedo, Angela, Krug, Axel, Nenadic, Igor, Kircher, Tilo, Aleman, Andre, Groenewold, Nynke A., Stein, Dan J., Soares, Jair C., Zunta-Soares, Giovana B., Mwangi, Benson, Wu, Mon-Ju, Walter, Martin, Li, Meng, Harrison, Ben J., Davey, Christopher G., Cullen, Kathryn R., Klimes-Dougan, Bonnie, Mueller, Bryon A., Sämann, Philipp G., Penninx, Brenda, Nawijn, Laura, Veltman, Dick J., Aftanas, Lyubomir, Brak, Ivan V., Filimonova, Elena A., Osipov, Evgeniy A., Reneman, Liesbeth, Schrantee, Anouk, Grabe, Hans J., Van der Auwera, Sandra, Wittfeld, Katharina, Hosten, Norbert, Völzke, Henry, Sim, Kang, Gotlib, Ian H., Sacchet, Matthew D., Lagopoulos, Jim, Hatton, Sean N., Hickie, Ian, Pozzi, Elena, Thompson, Paul M., Jahanshad, Neda, Schmaal, Lianne, Baune, Bernhard T., and Dannlowski, Udo

Published
2021
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32. Concurrent validity and reliability of suicide risk assessment instruments: A meta-analysis of 20 instruments across 27 international cohorts.

Author

Campos, Adrian I., primary, Van Velzen, Laura S., additional, Veltman, Dick J., additional, Pozzi, Elena, additional, Ambrogi, Sonia, additional, Ballard, Elizabeth D., additional, Banaj, Nerisa, additional, Başgöze, Zeynep, additional, Bellow, Sophie, additional, Benedetti, Francesco, additional, Bollettini, Irene, additional, Brosch, Katharina, additional, Canales-Rodríguez, Erick J., additional, Clarke-Rubright, Emily K., additional, Colic, Lejla, additional, Connolly, Colm G., additional, Courtet, Philippe, additional, Cullen, Kathryn R., additional, Dannlowski, Udo, additional, Dauvermann, Maria R., additional, Davey, Christopher G., additional, Deverdun, Jeremy, additional, Dohm, Katharina, additional, Erwin-Grabner, Tracy, additional, Goya-Maldonado, Roberto, additional, Fani, Negar, additional, Fortea, Lydia, additional, Fuentes-Claramonte, Paola, additional, Gonul, Ali Saffet, additional, Gotlib, Ian H., additional, Grotegerd, Dominik, additional, Harris, Mathew A., additional, Harrison, Ben J., additional, Haswell, Courtney C., additional, Hawkins, Emma L., additional, Hill, Dawson, additional, Hirano, Yoshiyuki, additional, Ho, Tiffany C., additional, Jollant, Fabrice, additional, Jovanovic, Tanja, additional, Kircher, Tilo, additional, Klimes-Dougan, Bonnie, additional, le Bars, Emmanuelle, additional, Lochner, Christine, additional, McIntosh, Andrew M., additional, Meinert, Susanne, additional, Mekawi, Yara, additional, Melloni, Elisa, additional, Mitchell, Philip, additional, Morey, Rajendra A., additional, Nakagawa, Akiko, additional, Nenadić, Igor, additional, Olié, Emilie, additional, Pereira, Fabricio, additional, Phillips, Rachel D., additional, Piras, Fabrizio, additional, Poletti, Sara, additional, Pomarol-Clotet, Edith, additional, Radua, Joaquim, additional, Ressler, Kerry J., additional, Roberts, Gloria, additional, Rodriguez-Cano, Elena, additional, Sacchet, Matthew D., additional, Salvador, Raymond, additional, Sandu, Anca-Larisa, additional, Shimizu, Eiji, additional, Singh, Aditya, additional, Spalletta, Gianfranco, additional, Steele, J. Douglas, additional, Stein, Dan J., additional, Stein, Frederike, additional, Stevens, Jennifer S., additional, Teresi, Giana I., additional, Uyar-Demir, Aslihan, additional, van der Wee, Nic J., additional, van der Werff, Steven J., additional, van Rooij, Sanne J. H., additional, Vecchio, Daniela, additional, Verdolini, Norma, additional, Vieta, Eduard, additional, Waiter, Gordon D., additional, Whalley, Heather, additional, Whittle, Sarah L., additional, Yang, Tony T., additional, Zarate, Carlos A., additional, Thompson, Paul M., additional, Jahanshad, Neda, additional, van Harmelen, Anne-Laura, additional, Blumberg, Hilary P., additional, Schmaal, Lianne, additional, and Rentería, Miguel E., additional

Published
2023
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33. Structural brain correlates of childhood trauma with replication across two large, independent community-based samples

Author

Madden, Rebecca A., primary, Atkinson, Kimberley, additional, Shen, Xueyi, additional, Green, Claire, additional, Hillary, Robert F., additional, Hawkins, Emma, additional, Såge, Emma, additional, Sandu, Anca-Larisa, additional, Waiter, Gordon, additional, McNeil, Christopher, additional, Harris, Mathew, additional, Campbell, Archie, additional, Porteous, David, additional, Macfarlane, Jennifer A., additional, Murray, Alison, additional, Steele, Douglas, additional, Romaniuk, Liana, additional, Lawrie, Stephen M., additional, McIntosh, Andrew M., additional, and Whalley, Heather C., additional

Published
2023
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34. Neuroimaging, clinical and life course correlates of normal-appearing white matter integrity in 70-year-olds

Author

James, Sarah-Naomi, primary, Manning, Emily N, additional, Storey, Mathew, additional, Nicholas, Jennifer M, additional, Coath, William, additional, Keuss, Sarah E, additional, Cash, David M, additional, Lane, Christopher A, additional, Parker, Thomas, additional, Keshavan, Ashvini, additional, Buchanan, Sarah M, additional, Wagen, Aaron, additional, Harris, Mathew, additional, Malone, Ian, additional, Lu, Kirsty, additional, Needham, Louisa P, additional, Street, Rebecca, additional, Thomas, David, additional, Dickson, John, additional, Murray-Smith, Heidi, additional, Wong, Andrew, additional, Freiberger, Tamar, additional, Crutch, Sebastian J, additional, Fox, Nick C, additional, Richards, Marcus, additional, Barkhof, Frederik, additional, Sudre, Carole H, additional, Barnes, Josephine, additional, and Schott, Jonathan M, additional

Published
2023
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35. Patterns of brain atrophy in recently-diagnosed relapsing-remitting multiple sclerosis.

Author

Meijboom, Rozanna, York, Elizabeth N., Kampaite, Agniete, Harris, Mathew A., White, Nicole, Valdés Hernández, Maria del C., Thrippleton, Michael J., MacDougall, N. J. J., Connick, Peter, Hunt, David P. J., Chandran, Siddharthan, and Waldman, Adam D.

Subjects
CEREBRAL atrophy, VOXEL-based morphometry, NATALIZUMAB, DISEASE relapse, MULTIPLE sclerosis, OCCIPITAL lobe, WHITE matter (Nerve tissue)
Abstract

Recurrent neuroinflammation in relapsing-remitting MS (RRMS) is thought to lead to neurodegeneration, resulting in progressive disability. Repeated magnetic resonance imaging (MRI) of the brain provides non-invasive measures of atrophy over time, a key marker of neurodegeneration. This study investigates regional neurodegeneration of the brain in recently-diagnosed RRMS using volumetry and voxel-based morphometry (VBM). RRMS patients (N = 354) underwent 3T structural MRI <6 months after diagnosis and 1-year follow-up, as part of the Scottish multicentre 'FutureMS' study. MRI data were processed using FreeSurfer to derive volumetrics, and FSL for VBM (grey matter (GM) only), to establish regional patterns of change in GM and normal-appearing white matter (NAWM) over time throughout the brain. Volumetric analyses showed a decrease over time (q<0.05) in bilateral cortical GM and NAWM, cerebellar GM, brainstem, amygdala, basal ganglia, hippocampus, accumbens, thalamus and ventral diencephalon. Additionally, NAWM and GM volume decreased respectively in the following cortical regions, frontal: 14 out of 26 regions and 16/26; temporal: 18/18 and 15/18; parietal: 14/14 and 11/14; occipital: 7/8 and 8/8. Left GM and NAWM asymmetry was observed in the frontal lobe. GM VBM analysis showed three major clusters of decrease over time: 1) temporal and subcortical areas, 2) cerebellum, 3) anterior cingulum and supplementary motor cortex; and four smaller clusters within the occipital lobe. Widespread GM and NAWM atrophy was observed in this large recently-diagnosed RRMS cohort, particularly in the brainstem, cerebellar GM, and subcortical and occipital-temporal regions; indicative of neurodegeneration across tissue types, and in accord with limited previous studies in early disease. Volumetric and VBM results emphasise different features of longitudinal lobar and loco-regional change, however identify consistent atrophy patterns across individuals. Atrophy measures targeted to specific brain regions may provide improved markers of neurodegeneration, and potential future imaging stratifiers and endpoints for clinical decision making and therapeutic trials. [ABSTRACT FROM AUTHOR]

Published
2023
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36. Reproducibility in the absence of selective reporting : An illustration from large-scale brain asymmetry research

Author

Kong, Xiang-Zhen, Francks, Clyde, Allen, Nicholas B., Heslenfeld, Dirk, Hester, Robert, Hibar, Derrek Paul, Ho, Beng-Choon, Ho, Tiffany C., Hoekstra, Pieter J., Holst, Ruth J., Hoogman, Martine, Høvik, Marie F., Howells, Fleur M., Ames, David, Hugdahl, Kenneth, Huyser, Chaim, Ingvar, Martin, Ishikawa, Akari, James, Anthony, Jahanshad, Neda, Jernigan, Terry L., Jönsson, Erik G, Kaleda, Vasily, Kelly, Clare, Andreassen, Ole A., Kerich, Michael, Keshavan, Matcheri S., Khadka, Sabin, Kircher, Tilo, Kohls, Gregor, Konrad, Kerstin, Korucuoglu, Ozlem, Krämer, Bernd, Krug, Axel, Kuntsi, Jonna, Vasquez, Alejandro Arias, Kwon, Jun Soo, Lambregts-Rommelse, Nanda, Landén, Mikael, Lázaro, Luisa, Lebedeva, Irina, Lenroot, Rhoshel, Lesch, Klaus-Peter, Li, Qinqin, Lim, Kelvin O., Liu, Jia, Armstrong, Nicola J., Lochner, Christine, London, Edythe D., Lorenzetti, Valentina, Luciano, Michelle, Luijten, Maartje, Lundervold, Astri J., Mackey, Scott, MacMaster, Frank P., Maingault, Sophie, Malpas, Charles B., Asherson, Phil, Malt, Ulrik F., Mataix-Cols, David, Martin-Santos, Rocio, Mayer, Andrew R., McCarthy, Hazel, Medland, Sarah, Metha, Mitul, Mitchell, Philip B., Mueller, Bryon A., Maniega, Susana Muñoz, Bergo, Felipe, Mazoyer, Bernard, McDonald, Colm, McLellan, Quinn, McMahon, Katie L., McPhilemy, Genevieve, Momenan, Reza, Morales, Angelica M., Narayanaswamy, Janardhanan C., Moreira, José Carlos Vasques, Nerland, Stener, Bastin, Mark E., Nestor, Liam, Newman, Erik, Nigg, Joel T., Nordvik, Jan Egil, Novotny, Stephanie, Weiss, Eileen Oberwelland, O'Gorman, Ruth L., Oosterlaan, Jaap, Oranje, Bob, Orr, Catherine, Batalla, Albert, Overs, Bronwyn, Paloyelis, Yannis, Pauli, Paul, Paulus, Martin, Plessen, Kerstin Jessica, Polier, Georg G., Pomarol-Clotet, Edith, Portella, Maria J., Qiu, Jiang, Radua, Joaquim, Bauer, Jochen, Ramos-Quiroga, Josep Antoni, Reddy, Y. C. Janardhan, Reif, Andreas, Roberts, Gloria, Rosa, Pedro, Rubia, Katya, Sacchet, Matthew D., Sachdev, Perminder S., Salvador, Raymond, Schmaal, Lianne, Baune, Bernhard T, Schulte-Rüther, Martin, Schweren, Lizanne, Seitz, Jochen, Serpa, Mauricio Henriques, Shaw, Philip, Shumskaya, Elena, Silk, Timothy J., Simmons, Alan N., Simulionyte, Egle, Sinha, Rajita, Baur-Streubel, Ramona, Sjoerds, Zsuzsika, Smelror, Runar Elle, Soliva, Joan Carlos, Solowij, Nadia, Souza-Duran, Fabio Luisde, Sponheim, Scott R., Stein, Dan J., Stein, Elliot A., Stevens, Michael, Strike, Lachlan T., Biederman, Joseph, Sudre, Gustavo, Sui, Jing, Tamm, Leanne, Temmingh, Hendrik S., Thoma, Robert J., Tomyshev, Alexander, Tronchin, Giulia, Turner, Jessica, Uhlmann, Anne, Erp, Theo G. M., Blaine, Sara K., Heuvel, Odile A., Meer, Dennis, Eijk, Liza, Vance, Alasdair, Veer, Ilya M., Veltman, Dick J., Venkatasubramanian, Ganesan, Vilarroya, Oscar, Vives-Gilabert, Yolanda, Voineskos, Aristotle N, Boedhoe, Premika, Völzke, Henry, Vuletic, Daniella, Walitza, Susanne, Walter, Henrik, Walton, Esther, Wardlaw, Joanna M., Wen, Wei, Westlye, Lars T., Whelan, Christopher D., White, Tonya, Bøen, Erlend, Wiers, Reinout W., Wright, Margaret J., Wittfeld, Katharina, Yang, Tony T., Yasuda, Clarissa L., Yoncheva, Yuliya, Yücel, Murat, Yun, Je-Yeon, Zanetti, Marcus Vinicius, Zhen, Zonglei, Bose, Anushree, Zhu, Xing-xing, Ziegler, Georg C., Zubicaray, Greig I., Zwiers, Marcel, Project, Karolinska Schizophrenia, Glahn, David C., Crivello, Fabrice, Fisher, Simon E., Thompson, Paul M., Bralten, Janita, Farde, Lars, Flyckt, Lena, Engberg, Göran, Erhardt, Sophie, Fatouros-Bergman, Helena, Cervenka, Simon, Schwieler, Lilly, Piehl, Fredrik, Agartz, Ingrid, Collste, Karin, Brandeis, Daniel, Victorsson, Pauliina, Malmqvist, Anna, Hedberg, Mikael, Orhan, Funda, Sellgren, Carl, Brem, Silvia, Mathias, Samuel R., Brodaty, Henry, Yüksel, Dilara, Brooks, Samantha J., Buitelaar, Jan, Bürger, Christian, Bülow, Robin, Calhoun, Vince, Calvo, Anna, Canales-Rodríguez, Erick Jorge, Cannon, Dara M., Guadalupe, Tulio, Caparelli, Elisabeth C., Castellanos, Francisco X., Cendes, Fernando, Chaim-Avancini, Tiffany Moukbel, Chantiluke, Kaylita, Chen, Qun-lin, Chen, Xiayu, Cheng, Yuqi, Christakou, Anastasia, Clark, Vincent P., Abé, Christoph, Coghill, David, Connolly, Colm G., Conzelmann, Annette, Córdova-Palomera, Aldo, Cousijn, Janna, Crow, Tim, Cubillo, Ana, Dannlowski, Udo, Bruttopilo, Sara Ambrosino, Zeeuw, Patrick, Deary, Ian J., Demeter, Damion V., Di Martino, Adriana, Dickie, Erin W, Dietsche, Bruno, Doan, Nhat Trung, Doherty, Colin P., Doyle, Alysa, Durston, Sarah, Earl, Eric, Akudjedu, Theophilus N., Ehrlich, Stefan, Ekman, Carl Johan, Elvsåshagen, Torbjørn, Epstein, Jeffery N., Fair, Damien A., Faraone, Stephen V., Fernández, Guillén, Flint, Claas, Filho, Geraldo Busatto, Förster, Katharina, Aleman, Andre, Fouche, Jean-Paul, Foxe, John J., Frodl, Thomas, Fuentes-Claramonte, Paola, Fullerton, Janice M., Garavan, Hugh, Santos Garcia, Danielle, Gotlib, Ian H., Goudriaan, Anna E., Grabe, Hans Jörgen, Alhusaini, Saud, Groenewold, Nynke A., Grotegerd, Dominik, Gruber, Oliver, Gurholt, Tiril, Haavik, Jan, Hahn, Tim, Hansell, Narelle K., Harris, Mathew A., Hartman, Catharina A., Carmen Valdés Hernández, Maria, Alhusaini, Saud, Del Carmen Valdés Hernández, Maria, Heslenfeld, Dirk, Hester, Robert, Hibar, Derrek Paul, Ho, Beng-Choon, Ho, Tiffany C., Hoekstra, Pieter J., van Holst, Ruth J., Hoogman, Martine, Høvik, Marie F., Allen, Nicholas B., Howells, Fleur M., Hugdahl, Kenneth, Huyser, Chaim, Ingvar, Martin, Ishikawa, Akari, James, Anthony, Jahanshad, Neda, Jernigan, Terry L., Jönsson, Erik G., Kaleda, Vasily, Ames, David, Kelly, Clare, Kerich, Michael, Keshavan, Matcheri S., Khadka, Sabin, Kircher, Tilo, Kohls, Gregor, Konrad, Kerstin, Korucuoglu, Ozlem, Krämer, Bernd, Krug, Axel, Andreassen, Ole A., Kuntsi, Jonna, Kwon, Jun Soo, Lambregts-Rommelse, Nanda, Landén, Mikael, Lázaro, Luisa, Lebedeva, Irina, Lenroot, Rhoshel, Lesch, Klaus-Peter, Li, Qinqin, Lim, Kelvin O., Vasquez, Alejandro Arias, Liu, Jia, Lochner, Christine, London, Edythe D., Lorenzetti, Valentina, Luciano, Michelle, Luijten, Maartje, Lundervold, Astri J., Mackey, Scott, MacMaster, Frank P., Maingault, Sophie, Armstrong, Nicola J., Malpas, Charles B., Malt, Ulrik F., Mataix-Cols, David, Martin-Santos, Rocio, Mayer, Andrew R., McCarthy, Hazel, Medland, Sarah, Metha, Mitul, Mitchell, Philip B., Mueller, Bryon A., Asherson, Phil, Maniega, Susana Muñoz, Mazoyer, Bernard, McDonald, Colm, McLellan, Quinn, McMahon, Katie L., McPhilemy, Genevieve, Momenan, Reza, Morales, Angelica M., Narayanaswamy, Janardhanan C., Moreira, José Carlos Vasques, Bergo, Felipe, Nerland, Stener, Nestor, Liam, Newman, Erik, Nigg, Joel T., Nordvik, Jan Egil, Novotny, Stephanie, Weiss, Eileen Oberwelland, O'Gorman, Ruth L., Oosterlaan, Jaap, Oranje, Bob, Bastin, Mark E., Orr, Catherine, Overs, Bronwyn, Paloyelis, Yannis, Pauli, Paul, Paulus, Martin, Plessen, Kerstin Jessica, von Polier, Georg G., Pomarol-Clotet, Edith, Portella, Maria J., Qiu, Jiang, Batalla, Albert, Radua, Joaquim, Ramos-Quiroga, Josep Antoni, Reddy, Y. C. Janardhan, Reif, Andreas, Roberts, Gloria, Rosa, Pedro, Rubia, Katya, Sacchet, Matthew D., Sachdev, Perminder S., Salvador, Raymond, Bauer, Jochen, Schmaal, Lianne, Schulte-Rüther, Martin, Schweren, Lizanne, Seitz, Jochen, Serpa, Mauricio Henriques, Shaw, Philip, Shumskaya, Elena, Silk, Timothy J., Simmons, Alan N., Simulionyte, Egle, Baune, Bernhard T., Sinha, Rajita, Sjoerds, Zsuzsika, Smelror, Runar Elle, Soliva, Joan Carlos, Solowij, Nadia, Souza-Duran, Fabio Luisde, Sponheim, Scott R., Stein, Dan J., Stein, Elliot A., Stevens, Michael, Baur-Streubel, Ramona, Strike, Lachlan T., Sudre, Gustavo, Sui, Jing, Tamm, Leanne, Temmingh, Hendrik S., Thoma, Robert J., Tomyshev, Alexander, Tronchin, Giulia, Turner, Jessica, Uhlmann, Anne, Biederman, Joseph, van Erp, Theo G. M., van den Heuvel, Odile A., van der Meer, Dennis, van Eijk, Liza, Vance, Alasdair, Veer, Ilya M., Veltman, Dick J., Venkatasubramanian, Ganesan, Vilarroya, Oscar, Vives-Gilabert, Yolanda, Blaine, Sara K., Voineskos, Aristotle N., Völzke, Henry, Vuletic, Daniella, Walitza, Susanne, Walter, Henrik, Walton, Esther, Wardlaw, Joanna M., Wen, Wei, Westlye, Lars T., Whelan, Christopher D., Boedhoe, Premika, White, Tonya, Wiers, Reinout W., Wright, Margaret J., Wittfeld, Katharina, Yang, Tony T., Yasuda, Clarissa L., Yoncheva, Yuliya, Yücel, Murat, Yun, Je-Yeon, Zanetti, Marcus Vinicius, Bøen, Erlend, Zhen, Zonglei, Zhu, Xing-Xing, Ziegler, Georg C., de Zubicaray, Greig I., Zwiers, Marcel, Project, Karolinska Schizophrenia, Glahn, David C., Crivello, Fabrice, Fisher, Simon E., Thompson, Paul M., Bose, Anushree, Francks, Clyde, Farde, Lars, Flyckt, Lena, Engberg, Göran, Erhardt, Sophie, Fatouros-Bergman, Helena, Cervenka, Simon, Schwieler, Lilly, Piehl, Fredrik, Agartz, Ingrid, Bralten, Janita, Collste, Karin, Victorsson, Pauliina, Malmqvist, Anna, Hedberg, Mikael, Orhan, Funda, Sellgren, Carl, Brandeis, Daniel, Kong, Xiang-Zhen, Brem, Silvia, Brodaty, Henry, Yüksel, Dilara, Brooks, Samantha J., Buitelaar, Jan, Bürger, Christian, Bülow, Robin, Calhoun, Vince, Calvo, Anna, Canales-Rodríguez, Erick Jorge, Mathias, Samuel R., Cannon, Dara M., Caparelli, Elisabeth C., Castellanos, Francisco X., Cendes, Fernando, Chaim-Avancini, Tiffany Moukbel, Chantiluke, Kaylita, Chen, Qun-Lin, Chen, Xiayu, Cheng, Yuqi, Christakou, Anastasia, Guadalupe, Tulio, Clark, Vincent P., Coghill, David, Connolly, Colm G., Conzelmann, Annette, Córdova-Palomera, Aldo, Cousijn, Janna, Crow, Tim, Cubillo, Ana, Dannlowski, Udo, de Bruttopilo, Sara Ambrosino, Abé, Christoph, de Zeeuw, Patrick, Deary, Ian J., Demeter, Damion V., Di Martino, Adriana, Dickie, Erin W., Dietsche, Bruno, Doan, Nhat Trung, Doherty, Colin P., Doyle, Alysa, Durston, Sarah, Earl, Eric, Ehrlich, Stefan, Ekman, Carl Johan, Elvsåshagen, Torbjørn, Epstein, Jeffery N., Fair, Damien A., Faraone, Stephen V., Fernández, Guillén, Flint, Claas, Filho, Geraldo Busatto, Akudjedu, Theophilus N., Förster, Katharina, Fouche, Jean-Paul, Foxe, John J., Frodl, Thomas, Fuentes-Claramonte, Paola, Fullerton, Janice M., Garavan, Hugh, do Santos Garcia, Danielle, Gotlib, Ian H., Goudriaan, Anna E., Aleman, Andre, Grabe, Hans Jörgen, Groenewold, Nynke A., Grotegerd, Dominik, Gruber, Oliver, Gurholt, Tiril, Haavik, Jan, Hahn, Tim, Hansell, Narelle K., Harris, Mathew A., Hartman, Catharina A., Ontwikkelingspsychologie (Psychologie, FMG), Adult Psychiatry, APH - Mental Health, ANS - Compulsivity, Impulsivity & Attention, Child and Adolescent Psychiatry & Psychosocial Care, Child Psychiatry, ANS - Cellular & Molecular Mechanisms, Laboratory Genetic Metabolic Diseases, Paediatrics, General Paediatrics, ARD - Amsterdam Reproduction and Development, Paediatric Pulmonology, Graduate School, and APH - Digital Health

Subjects
P‐hacking, Datasets as Topic, Publication bias, 0302 clinical medicine, 130 000 Cognitive Neurology & Memory, Statistics, team science, Brain asymmetry, Multicenter Studies as Topic, Cervell, Research Articles, Cerebral Cortex, Radiological and Ultrasound Technology, P-hacking, 05 social sciences, Brain, Cerebral cortex, Middle Aged, Magnetic Resonance Imaging, Discoveries in science, Escorça cerebral, Neurology, Biaix de publicació, Anatomy, Psychology, Research Article, Neuroinformatics, Adult, Adolescent, Neuroimaging, Descobriments científics, 050105 experimental psychology, Statistical power, 03 medical and health sciences, Young Adult, Magnetic resonance imaging, Imatges per ressonància magnètica, multisite collaboration, Humans, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, ddc:610, reproducibility, Aged, publication bias, Reproducibility, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Perspective (graphical), Reproducibility of Results, Brain Cortical Thickness, Research data, Sample size determination, Dades de recerca, Neurology (clinical), Scale (map), Developmental Psychopathology, 030217 neurology & neurosurgery
Abstract

The problem of poor reproducibility of scientific findings has received much attention over recent years, in a variety of fields including psychology and neuroscience. The problem has been partly attributed to publication bias and unwanted practices such as p‐hacking. Low statistical power in individual studies is also understood to be an important factor. In a recent multisite collaborative study, we mapped brain anatomical left–right asymmetries for regional measures of surface area and cortical thickness, in 99 MRI datasets from around the world, for a total of over 17,000 participants. In the present study, we revisited these hemispheric effects from the perspective of reproducibility. Within each dataset, we considered that an effect had been reproduced when it matched the meta‐analytic effect from the 98 other datasets, in terms of effect direction and significance threshold. In this sense, the results within each dataset were viewed as coming from separate studies in an “ideal publishing environment,” that is, free from selective reporting and p hacking. We found an average reproducibility rate of 63.2% (SD = 22.9%, min = 22.2%, max = 97.0%). As expected, reproducibility was higher for larger effects and in larger datasets. Reproducibility was not obviously related to the age of participants, scanner field strength, FreeSurfer software version, cortical regional measurement reliability, or regional size. These findings constitute an empirical illustration of reproducibility in the absence of publication bias or p hacking, when assessing realistic biological effects in heterogeneous neuroscience data, and given typically‐used sample sizes., Region‐wise effect sizes and reproducibility rates of hemispheric asymmetry effects. In general, effects with higher effect sizes showed higher reproducibility, given the same conditions (e.g., sample size and data heterogeneity).

Published
2022

40. Structural brain correlates of childhood trauma with replication across two large, independent community-based samples.

Author

Madden, Rebecca A, primary, Atkinson, Kimberley, additional, Shen, Xueyi, additional, Green, Claire, additional, Hillary, Robert F, additional, Hawkins, Emma, additional, Sandu, Anca-Larisa, additional, Waiter, Gordon, additional, McNeil, Christopher, additional, Harris, Mathew, additional, Campbell, Archie, additional, Porteous, David, additional, Macfarlane, Jennifer A, additional, Murray, Alison, additional, Steele, Douglas, additional, Romaniuk, Liana, additional, Lawrie, Stephen M, additional, McIntosh, Andrew M, additional, and Whalley, Heather C, additional

Published
2022
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41. Additional file 3 of Blood-based epigenome-wide analyses of cognitive abilities

Author

McCartney, Daniel L., Hillary, Robert F., Conole, Eleanor L. S., Banos, Daniel Trejo, Gadd, Danni A., Walker, Rosie M., Nangle, Cliff, Flaig, Robin, Campbell, Archie, Murray, Alison D., Maniega, Susana Mu��oz, Vald��s-Hern��ndez, Mar��a del C., Harris, Mathew A., Bastin, Mark E., Wardlaw, Joanna M., Harris, Sarah E., Porteous, David J., Tucker-Drob, Elliot M., McIntosh, Andrew M., Evans, Kathryn L., Deary, Ian J., Cox, Simon R., Robinson, Matthew R., and Marioni, Riccardo E.

Subjects
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Data_FILES
Abstract

Additional file 3. Online Imaging Methods.

Published
2022
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42. Additional file 2 of Blood-based epigenome-wide analyses of cognitive abilities

Author

McCartney, Daniel L., Hillary, Robert F., Conole, Eleanor L. S., Banos, Daniel Trejo, Gadd, Danni A., Walker, Rosie M., Nangle, Cliff, Flaig, Robin, Campbell, Archie, Murray, Alison D., Maniega, Susana Mu��oz, Vald��s-Hern��ndez, Mar��a del C., Harris, Mathew A., Bastin, Mark E., Wardlaw, Joanna M., Harris, Sarah E., Porteous, David J., Tucker-Drob, Elliot M., McIntosh, Andrew M., Evans, Kathryn L., Deary, Ian J., Cox, Simon R., Robinson, Matthew R., and Marioni, Riccardo E.

Abstract

Additional file 2: Supplementary Figures 1-5. Figure S1: Plot of the epigenetic smoking variable (EpiSmoker) against self-reported smoking status (current, former, never) in Generation Scotland (n=9,162). Figure S2: Median effects observed for DNA methylation probes with posterior inclusion probabilities (PIPs) > 0.8 across four cognitive tests and two composite measures (no probes identified for logical memory). Figure S3: Scatter Plot of Epigenetic g Score by Measured g Score in the Lothian Birth Cohort 1936 (LBC1936) and the Lothian Birth Cohort 1921 (LBC1921). Figure S4: Regional cortical volume regressed against measured g (left) and EpiScore g (middle), colours denote the magnitude (T-maps; top, A-B) and significance (Q values; bottom, D-E) of the negative associations between cognitive measures and brain cortical volume. Panel (C) shows the percentage attenuation for the significant associations between EpiScore and cortical volume when also controlling for measured g. (F) shows the spatial extent overlap (green) in cortical loci that exhibit FDR-corrected unique associations. Figure S5: Regional cortical thickness regressed against measured g (left) and EpiScore g (middle), colours denote the magnitude (T-maps; top, A-B) and significance (Q values; bottom, D-E) of the negative associations between cognitive measures and brain cortical thickness. Panel (C) shows the percentage attenuation for the significant associations between EpiScore and cortical thickness when also controlling for measured g. (F) shows the spatial extent overlap (green) in cortical loci that exhibit FDR-corrected unique associations.

Published
2022
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43. Additional file 4 of Blood-based epigenome-wide analyses of cognitive abilities

Author

McCartney, Daniel L., Hillary, Robert F., Conole, Eleanor L. S., Banos, Daniel Trejo, Gadd, Danni A., Walker, Rosie M., Nangle, Cliff, Flaig, Robin, Campbell, Archie, Murray, Alison D., Maniega, Susana Mu��oz, Vald��s-Hern��ndez, Mar��a del C., Harris, Mathew A., Bastin, Mark E., Wardlaw, Joanna M., Harris, Sarah E., Porteous, David J., Tucker-Drob, Elliot M., McIntosh, Andrew M., Evans, Kathryn L., Deary, Ian J., Cox, Simon R., Robinson, Matthew R., and Marioni, Riccardo E.

Abstract

Additional file 4. Review history.

Published
2022
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44. Comparing personalized brain-based and genetic risk scores for major depressive disorder in large population samples of adults and adolescents

Author

Thng, Gladi, primary, Shen, Xueyi, additional, Stolicyn, Aleks, additional, Harris, Mathew A., additional, Adams, Mark J., additional, Barbu, Miruna C., additional, Kwong, Alex S. F., additional, Frangou, Sophia, additional, Lawrie, Stephen M., additional, McIntosh, Andrew M., additional, Romaniuk, Liana, additional, and Whalley, Heather C., additional

Published
2022
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45. Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders

Author

Opel, Nils, Thalamuthu, Anbupalam, Milaneschi, Yuri, Grotegerd, Dominik, Flint, Claas, Leenings, Ramona, Goltermann, Janik, Richter, Maike, Hahn, Tim, Woditsch, Georg, Berger, Klaus, Hermesdorf, Marco, McIntosh, Andrew, Whalley, Heather C., Harris, Mathew A., MacMaster, Frank P., Walter, Henrik, Veer, Ilya M., Frodl, Thomas, Carballedo, Angela, Krug, Axel, Nenadic, Igor, Kircher, Tilo, Aleman, Andre, Groenewold, Nynke A., Stein, Dan J., Soares, Jair C., Zunta-Soares, Giovana B., Mwangi, Benson, Wu, Mon-Ju, Walter, Martin, Li, Meng, Harrison, Ben J., Davey, Christopher G., Cullen, Kathryn R., Klimes-Dougan, Bonnie, Mueller, Bryon A., Sämann, Philipp G., Penninx, Brenda, Nawijn, Laura, Veltman, Dick J., Aftanas, Lyubomir, Brak, Ivan V., Filimonova, Elena A., Osipov, Evgeniy A., Reneman, Liesbeth, Schrantee, Anouk, Grabe, Hans J., Van der Auwera, Sandra, Wittfeld, Katharina, Hosten, Norbert, Völzke, Henry, Sim, Kang, Gotlib, Ian H., Sacchet, Matthew D., Lagopoulos, Jim, Hatton, Sean N., Hickie, Ian, Pozzi, Elena, Thompson, Paul M., Jahanshad, Neda, Schmaal, Lianne, Baune, Bernhard T., and Dannlowski, Udo

Subjects
Depression, Diagnostic markers, Article
Abstract

Emerging evidence suggests that obesity impacts brain physiology at multiple levels. Here we aimed to clarify the relationship between obesity and brain structure using structural MRI (n = 6420) and genetic data (n = 3907) from the ENIGMA Major Depressive Disorder (MDD) working group. Obesity (BMI > 30) was significantly associated with cortical and subcortical abnormalities in both mass-univariate and multivariate pattern recognition analyses independent of MDD diagnosis. The most pronounced effects were found for associations between obesity and lower temporo-frontal cortical thickness (maximum Cohen´s d (left fusiform gyrus) = −0.33). The observed regional distribution and effect size of cortical thickness reductions in obesity revealed considerable similarities with corresponding patterns of lower cortical thickness in previously published studies of neuropsychiatric disorders. A higher polygenic risk score for obesity significantly correlated with lower occipital surface area. In addition, a significant age-by-obesity interaction on cortical thickness emerged driven by lower thickness in older participants. Our findings suggest a neurobiological interaction between obesity and brain structure under physiological and pathological brain conditions.

Published
2020

46. Inflammaging in Major Depressive Disorder: Associations between markers of inflammation and brain ageing in depression across two large community-based cohorts

Author

Green, Claire, primary, Squillace, Marco, additional, Stevenson, Anna J., additional, Stolicyn, Aleks, additional, Harris, Mathew A., additional, Backhouse, Ellen V., additional, Hawkins, Emma L., additional, Taylor, Adele M., additional, Morris, Zoe, additional, Wardlaw, Joanna M., additional, Steele, J Douglas, additional, Waiter, Gordon D., additional, Sandu, Anca-Larisa, additional, Porteous, David J., additional, Cole, James H., additional, Lawrie, Stephen M., additional, Cavanagh, Jonathan, additional, Cox, Simon R., additional, McIntosh, Andrew M., additional, and Whalley, Heather C., additional

Published
2021
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48. Early life predictors of late life cerebral small vessel disease in four prospective cohort studies

Author

Backhouse, Ellen V, primary, Shenkin, Susan D, additional, McIntosh, Andrew M, additional, Bastin, Mark E, additional, Whalley, Heather C, additional, Valdez Hernandez, Maria, additional, Muñoz Maniega, Susana, additional, Harris, Mathew A, additional, Stolicyn, Aleks, additional, Campbell, Archie, additional, Steele, Douglas, additional, Waiter, Gordon D, additional, Sandu, Anca-Larisa, additional, Waymont, Jennifer M J, additional, Murray, Alison D, additional, Cox, Simon R, additional, de Rooij, Susanne R, additional, Roseboom, Tessa J, additional, and Wardlaw, Joanna M, additional

Published
2021
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49. Concurrent validity and reliability of suicide risk assessment instruments: A meta analysis of 20 instruments across 27 international cohorts

Author

Campos, Adrian I., primary, Van Velzen, Laura S., additional, Veltman, Dick J., additional, Pozzi, Elena, additional, Ambrogi, Sonia, additional, Ballard, Elizabeth D., additional, Banaj, Nerisa, additional, Başgöze, Zeynep, additional, Bellow, Sophie, additional, Benedetti, Francesco, additional, Bollettini, Irene, additional, Brosch, Katharina, additional, Canales-Rodríguez, Erick J., additional, Clarke-Rubright, Emily K., additional, Colic, Lejla, additional, Connolly, Colm G., additional, Courtet, Philippe, additional, Cullen, Kathryn R., additional, Dannlowski, Udo, additional, Dauvermann, Maria R., additional, Davey, Christopher G., additional, Deverdun, Jeremy, additional, Dohm, Katharina, additional, Erwin-Grabner, Tracy, additional, Fani, Negar, additional, Fortea, Lydia, additional, Fuentes-Claramonte, Paola, additional, Gonul, Ali Saffet, additional, Gotlib, Ian H., additional, Grotegerd, Dominik, additional, Harris, Mathew A., additional, Harrison, Ben J., additional, Haswell, Courtney C., additional, Hawkins, Emma L., additional, Hill, Dawson, additional, Hirano, Yoshiyuki, additional, Ho, Tiffany C., additional, Jollant, Fabrice, additional, Jovanovic, Tanja, additional, Kircher, Tilo, additional, Klimes-Dougan, Bonnie, additional, le Bars, Emmanuelle, additional, Lochner, Christine, additional, McIntosh, Andrew M., additional, Meinert, Susanne, additional, Mekawi, Yara, additional, Melloni, Elisa, additional, Mitchell, Philip, additional, Morey, Rajendra A., additional, Nakagawa, Akiko, additional, Nenadić, Igor, additional, Olié, Emilie, additional, Pereira, Fabricio, additional, Phillips, Rachel D., additional, Piras, Fabrizio, additional, Poletti, Sara, additional, Pomarol-Clotet, Edith, additional, Radua, Joaquim, additional, Ressler, Kerry J., additional, Roberts, Gloria, additional, Rodriguez-Cano, Elena, additional, Sacchet, Matthew D., additional, Salvador, Raymond, additional, Sandu, Anca-Larisa, additional, Shimizu, Eiji, additional, Singh, Aditya, additional, Spalletta, Gianfranco, additional, Steele, J. Douglas, additional, Stein, Dan J., additional, Stein, Frederike, additional, Stevens, Jennifer S., additional, Teresi, Giana I., additional, Uyar-Demir, Aslihan, additional, van der Wee, Nic J., additional, van der Werff, Steven J., additional, van Rooij, Sanne J.H., additional, Vecchio, Daniela, additional, Verdolini, Norma, additional, Vieta, Eduard, additional, Waiter, Gordon D., additional, Whalley, Heather, additional, Whittle, Sarah L., additional, Yang, Tony T., additional, Zarate, Carlos A., additional, Thompson, Paul M., additional, Jahanshad, Neda, additional, Harmelen, Anne-Laura van, additional, Blumberg, Hilary P., additional, Schmaal, Lianne, additional, and Rentería, Miguel E., additional

Published
2021
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50. Integrated methylome and phenome study of the circulating proteome reveals markers pertinent to brain health

Author

Gadd, Danni A, primary, Hillary, Robert F, additional, McCartney, Daniel L, additional, Shi, Liu, additional, Stolicyn, Aleks, additional, Robertson, Neil, additional, Walker, Rosie M, additional, McGeachan, Robert I, additional, Campbell, Archie, additional, Xueyi, Shen, additional, Barbu, Miruna C, additional, Green, Claire, additional, Morris, Stewart W, additional, Harris, Mathew A, additional, Backhouse, Ellen V, additional, Wardlaw, Joanna M, additional, Steele, J Douglas, additional, Oyarzún, Diego A, additional, Muniz-Terrera, Graciela, additional, Ritchie, Craig, additional, Nevado-Holgado, Alejo, additional, Chandra, Tamir, additional, Hayward, Caroline, additional, Evans, Kathryn L, additional, Porteous, David J, additional, Cox, Simon R, additional, Whalley, Heather C, additional, McIntosh, Andrew M, additional, and Marioni, Riccardo E, additional

Published
2021
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