Morphometric Similarity Networks Detect Microscale Cortical Organisation And Predict Inter-Individual Cognitive Variation

By J. Seidlitz, F. Vása, Maxwell Shinn, R. Romero-Garcia, Kirstie Jane Whitaker, Petra E. Vértes, P. K. Reardon, Liv S. Clasen, A. Messinger, David A. Leopold and 6 more. bioRxiv, 2017

404 citations recorded by the source corpus.

Macroscopic 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.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/640868bad49a9d9b87c5c99fc80dfe463fb94d72

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Bratislav Misic
2. Ross D. Markello
3. Laura E. Suárez
4. Richard F. Betzel
5. Olaf Sporns
6. D. Bassett

In Radiology, Nuclear Medicine and Imaging

1. Ross D. Markello
2. Laura E. Suárez
3. Bratislav Misic
4. Richard F. Betzel

Citations in the corpus

• Mapping neurotransmitter systems to the structural and functional organization of the human neocortex (2021, neutral): “5-HT2A Serotonin [(11)C]Cimbi-36 Bmax 29 (14) 22.”
• Linking Structure and Function in Macroscale Brain Networks. (2020, positive): “Microstructural profile covariance is also correlated with FC, including morphometric similarity [98], intracortical myelination [99], and laminar differentiation [100].”