Author(s)
Kirstie J. Whitaker
Published 7 Projects
Neuroscience Structure 1. Introduction Gene Expression Schizophrenia
Petra E VĂ©rtes
Published 13 Projects
Neuroscience Psychiatry And Clinical Psychology Structure 1. Introduction Natural Language Processing
Raymond J. Dolan
Published 5 Projects
Neuroscience 1. Introduction Gene Expression Schizophrenia Mri
the NSPN Consortium
Published 5 Projects
Neuroscience 1. Introduction Gene Expression Schizophrenia Mri
Edward T. Bullmore
Published 11 Projects
Neuroscience Structure 1. Introduction Gene Expression Schizophrenia
Content
Video Abstract (AI generated) (01:20) Paper Preprint NeuronMacroscopic cortical networks are important for cognitive function, but it remains challenging to construct anatomically plausible individual structural connectomes from human neuroimaging. We introduce a new technique for cortical network mapping, based on inter-regional similarity of multiple morphometric parameters measured using multimodal MRI. In three cohorts (two human, one macaque), we find that the resulting morphometric similarity networks (MSNs) have a complex topological organisation comprising modules and high-degree hubs. Human MSN modules recapitulate known cortical cytoarchitectonic divisions, and greater inter-regional morphometric similarity was associated with stronger inter-regional co-expression of genes enriched for neuronal terms. Comparing macaque MSNs to tract-tracing data confirmed that morphometric similarity was related to axonal connectivity. Finally, variation in the degree of human MSN nodes accounted for about 40% of between-subject variability in IQ. Morphometric similarity mapping provides a novel, robust and biologically plausible approach to understanding how human cortical networks underpin individual differences in psychological functions.
More Projects
Loren Frank
13 views • 2 years ago
Global Immunotalks
390 views • 3 years ago
Laurel Yohe
2 views • 2 years ago
Global Immunotalks
130 views • 3 years ago
Jignesh H. Parmar
0 views • 2 years ago
Winston A. Haynes
0 views • 2 years ago
Noam Mazor
0 views • 2 years ago
Global Immunotalks
182 views • 3 years ago
Cem Yuksel
345 views • 2 years ago
Oscar Gonzalez-Recio
3 views • 2 years ago
Please pick a style:
Petra E VĂ©rtes. (2021, Nov 9).Morphometric Similarity Networks Detect Microscale Cortical Organisation And Predict Inter-Individual Cognitive Variation[Video]. Scitok. https://scitok.com/project/p/0f13940d
Seidlitz Jakob. "Morphometric Similarity Networks Detect Microscale Cortical Organisation And Predict Inter-Individual Cognitive Variation" Scitok, uploaded by E VĂ©rtes Petra, 9 Nov, 2021, https://scitok.com/project/p0f13940d
Petra E VĂ©rtes. "Morphometric Similarity Networks Detect Microscale Cortical Organisation And Predict Inter-Individual Cognitive Variation" Scitok. (Nov 9, 2021). https://scitok.com/project/p/0f13940d
Petra E VĂ©rtes (Nov 9, 2021). Morphometric Similarity Networks Detect Microscale Cortical Organisation And Predict Inter-Individual Cognitive Variation Scitok. https://scitok.com/project/p/0f13940d
Petra E VĂ©rtes. Morphometric Similarity Networks Detect Microscale Cortical Organisation And Predict Inter-Individual Cognitive Variation[video]. 2021 Nov 9. https://scitok.com/project/p/0f13940d
@online{al2006link, title={ Morphometric Similarity Networks Detect Microscale Cortical Organisation And Predict Inter-Individual Cognitive Variation }, author={ E VĂ©rtes, Petra }, organization={Scitok}, month={ Nov }, day={ 9 }, year={ 2021 }, url = {https://scitok.com/project/p/0f13940d}, }