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Mathew A Harris
Mathew A Harris
Verified email at ed.ac.uk
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Sex differences in the adult human brain: evidence from 5216 UK Biobank participants
SJ Ritchie, SR Cox, X Shen, MV Lombardo, LM Reus, C Alloza, MA Harris, ...
Cerebral Cortex 28 (8), 2959-2975, 2018
8082018
The genetic architecture of the human cerebral cortex
KL Grasby, N Jahanshad, JN Painter, L Colodro-Conde, J Bralten, ...
Science 367 (6484), 2020
6792020
Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA Consortium
XZ Kong, SR Mathias, T Guadalupe, ENIGMA Laterality Working Group, ...
Proceedings of the National Academy of Sciences 115 (22), E5154-E5163, 2018
3622018
White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group
LS van Velzen, S Kelly, D Isaev, A Aleman, LI Aftanas, J Bauer, BT Baune, ...
Molecular psychiatry 25 (7), 1511-1525, 2020
3002020
Associations between vascular risk factors and brain MRI indices in UK Biobank
SR Cox, DM Lyall, SJ Ritchie, ME Bastin, MA Harris, CR Buchanan, ...
European heart journal 40 (28), 2290-2300, 2019
2702019
Personality stability from age 14 to age 77 years.
MA Harris, CE Brett, W Johnson, IJ Deary
Psychology and Aging 31 (8), 862, 2016
2202016
Maladaptive bias for extrahippocampal navigation strategies in aging humans
JM Wiener, O de Condappa, MA Harris, T Wolbers
Journal of Neuroscience 33 (14), 6012-6017, 2013
1782013
Ageing effects on path integration and landmark navigation
MA Harris, T Wolbers
Hippocampus 22 (8), 1770-1780, 2012
1532012
Aging specifically impairs switching to an allocentric navigational strategy
MA Harris, JM Wiener, T Wolbers
Frontiers in aging neuroscience 4, 29, 2012
1482012
How age-related strategy switching deficits affect wayfinding in complex environments
MA Harris, T Wolbers
Neurobiology of aging 35 (5), 1095-1102, 2014
1332014
Genetic variants associated with longitudinal changes in brain structure across the lifespan
RM Brouwer, M Klein, KL Grasby, HG Schnack, N Jahanshad, J Teeuw, ...
Nature neuroscience 25 (4), 421-432, 2022
1312022
Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders: Evidence through univariate and multivariate mega-analysis including …
N Opel, A Thalamuthu, Y Milaneschi, D Grotegerd, C Flint, R Leenings, ...
Molecular psychiatry 26 (9), 4839-4852, 2021
1232021
Association of structural magnetic resonance imaging measures with psychosis onset in individuals at clinical high risk for developing psychosis: An ENIGMA working group mega …
M Jalbrzikowski, RA Hayes, SJ Wood, D Nordholm, JH Zhou, P Fusar-Poli, ...
JAMA psychiatry 78 (7), 753-766, 2021
992021
Structural brain correlates of serum and epigenetic markers of inflammation in major depressive disorder
C Green, X Shen, AJ Stevenson, ELS Conole, MA Harris, MC Barbu, ...
Brain, behavior, and immunity 92, 39-48, 2021
752021
Blunted medial prefrontal cortico-limbic reward-related effective connectivity and depression
S Rupprechter, L Romaniuk, P Series, Y Hirose, E Hawkins, AL Sandu, ...
Brain 143 (6), 1946-1956, 2020
722020
Wakeful rest promotes the integration of spatial memories into accurate cognitive maps
M Craig, M Dewar, MA Harris, S Della Sala, T Wolbers
Hippocampus 26 (2), 185-193, 2016
712016
DNA methylation and protein markers of chronic inflammation and their associations with brain and cognitive aging
ELS Conole, AJ Stevenson, S Muñoz Maniega, SE Harris, C Green, ...
Neurology 97 (23), e2340-e2352, 2021
592021
In vivo hippocampal subfield volumes in bipolar disorder—A mega‐analysis from The Enhancing Neuro Imaging Genetics through Meta‐Analysis Bipolar Disorder Working Group
UK Haukvik, TP Gurholt, S Nerland, T Elvsåshagen, TN Akudjedu, M Alda, ...
Human brain mapping 43 (1), 385-398, 2022
582022
Epigenome-wide meta-analysis of blood DNA methylation and its association with subcortical volumes: findings from the ENIGMA Epigenetics Working Group
T Jia, C Chu, Y Liu, J van Dongen, E Papastergios, NJ Armstrong, ...
Molecular psychiatry 26 (8), 3884-3895, 2021
552021
An automated machine learning approach to predict brain age from cortical anatomical measures
J Dafflon, WHL Pinaya, F Turkheimer, JH Cole, R Leech, MA Harris, ...
Human brain mapping 41 (13), 3555-3566, 2020
512020
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