Morphometric Similarity Networks Detect Microscale Cortical Organization and Predict Inter-Individual Cognitive Variation

Author:

Seidlitz Jakob,Váša František,Shinn Maxwell,Romero-Garcia Rafael,Whitaker Kirstie J.,Vértes Petra E.,Wagstyl Konrad,Kirkpatrick Reardon Paul,Clasen Liv,Liu Siyuan,Messinger Adam,Leopold David A.,Fonagy Peter,Dolan Raymond J.,Jones Peter B.,Goodyer Ian M.,Raznahan Armin,Bullmore Edward T.

Funder

Neuroscience in Psychiatry Network

Wellcome Trust

National Institute for Health Research Cambridge Biomedical Research Centre

Medical Research Council/Wellcome Trust Behavioural and Clinical Neuroscience Institute

NIMH

NIH-Oxford/Cambridge Scholars Program

Winston Churchill Foundation of the United States

Gates Cambridge Trust

Medical Research Council

Publisher

Elsevier BV

Subject

General Neuroscience

Reference103 articles.

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2. Imaging structural co-variance between human brain regions;Alexander-Bloch;Nat. Rev. Neurosci.,2013

3. The convergence of maturational change and structural covariance in human cortical networks;Alexander-Bloch;J. Neurosci.,2013

4. A reproducible evaluation of ANTs similarity metric performance in brain image registration;Avants;Neuroimage,2011

5. Spatial brain coherence during the establishment of a conscious event;Baars;Conscious. Cogn.,1997

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