Theo G.M. van Erp
University of California, Irvine
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Publications 230
#1Danai Dima (City University London)H-Index: 20
#2Efstathios Papachristou (UCL: University College London)H-Index: 9
Last. Kathryn I. AlpertH-Index: 11
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Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies and may obscure or distort the lifespan trajectories of brain morphometry. In response, we capitalised on the resources of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to examine the age-related morphometric trajectories of the ventric...
#1Yash PatelH-Index: 1
#2Nadine ParkerH-Index: 1
Last. Martine HoogmanH-Index: 25
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#1Sophia Frangou (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 62
#2Amirhossein Modabbernia (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 23
Last. Dag Alnæs (University of Oslo)H-Index: 18
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Delineating age-related cortical trajectories in healthy individuals is critical given the association of cortical thickness with cognition and behaviour. Previous research has shown that deriving robust estimates of age-related brain morphometric changes requires large-scale studies. In response, we conducted a large-scale analysis of cortical thickness in 17,075 individuals aged 3-90 years by pooling data through the Lifespan Working group of the Enhancing Neuroimaging Genetics through Meta-An...
1 CitationsSource
#2Igor NenadicH-Index: 23
Last. Yann QuidéH-Index: 8
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#1Theo G.M. van ErpH-Index: 50
#2Ross A. BakerH-Index: 19
Last. Steven G. PotkinH-Index: 83
view all 7 authors...
#1Hengyi Cao (Yale University)H-Index: 8
#2Oliver Y. Chén (University of Oxford)H-Index: 4
Last. Heline Mirzakhanian (UCSD: University of California, San Diego)H-Index: 9
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While functional neuroimaging studies typically focus on a particular paradigm to investigate network connectivity, the human brain appears to possess an intrinsic "trait" architecture that is independent of any given paradigm. We have previously proposed the use of "cross-paradigm connectivity (CPC)" to quantify shared connectivity patterns across multiple paradigms and have demonstrated the utility of such measures in clinical studies. Here, using generalizability theory and connectome fingerp...
#1Xiangzhen Kong (MPG: Max Planck Society)H-Index: 10
#2Merel Postema (MPG: Max Planck Society)H-Index: 1
Last. David C. GlahnH-Index: 79
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1 Citations
#1Peter Kochunov (UMB: University of Maryland, Baltimore)H-Index: 24
#2L. Elliot Hong (UMB: University of Maryland, Baltimore)H-Index: 35
Last. Pauline Favre (French Institute of Health and Medical Research)H-Index: 2
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The ENIGMA-DTI (diffusion tensor imaging) workgroup supports analyses that examine the effects of psychiatric, neurological, and developmental disorders on the white matter pathways of the human brain, as well as the effects of normal variation and its genetic associations. The seven ENIGMA disorder-oriented working groups used the ENIGMA-DTI workflow to derive patterns of deficits using coherent and coordinated analyses that model the disease effects across cohorts worldwide. This yielded the l...
#1Daisuke Koshiyama (UTokyo: University of Tokyo)H-Index: 5
Last. Ryota Hashimoto (Osaka University)H-Index: 50
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Identifying both the commonalities and differences in brain structures among psychiatric disorders is important for understanding the pathophysiology. Recently, the ENIGMA-Schizophrenia DTI Working Group performed a large-scale meta-analysis and reported widespread white matter microstructural alterations in schizophrenia; however, no similar cross-disorder study has been carried out to date. Here, we conducted mega-analyses comparing white matter microstructural differences between healthy comp...
3 CitationsSource
#1Daisuke Koshiyama (UTokyo: University of Tokyo)H-Index: 5
#2Masaki FukunagaH-Index: 33
Last. Noriko KudoH-Index: 6
view all 39 authors...