Integration across biophysical scales identifies molecular and cellular correlates of person-to-person variability in human brain connectivity

Brain connectivity arises from interactions across biophysical scales, ranging from molecular to cellular to anatomical to network level. To date, there has been little progress toward integrated analysis across these scales. To bridge this gap, from a unique cohort of 98 individuals, we collected antemortem neuroimaging and genetic data, as well as postmortem dendritic spine morphometric, proteomic and gene expression data from the superior frontal and inferior temporal gyri. Through the integration of the molecular and dendritic spine morphology data, we identified hundreds of proteins that explain interindividual differences in functional connectivity and structural covariation. These proteins are enriched for synaptic structures and functions, energy metabolism and RNA processing. By integrating data at the genetic, molecular, subcellular and tissue levels, we link specific biochemical changes at synapses to connectivity between brain regions. These results demonstrate the feasibility of integrating data from vastly different biophysical scales to provide a more comprehensive understanding of brain connectivity.

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Publication Details

Journal
Nature Neuroscience
Published
2024-10-31
DOI
https://doi.org/10.1038/s41593-024-01788-z
Citations
14
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
4.80

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article

Integration across biophysical scales identifies molecular and cellular correlates of person-to-person variability in human brain connectivity

Hamad M. Muhammad, Shinya Tasaki, Jeremy H. Herskowitz, David Alan Bennett et al.
14 citations
Nature Neuroscience
Functional Brain Connectivity Studies
4.80
article

Integration across biophysical scales identifies molecular and cellular correlates of person-to-person variability in human brain connectivity

Hamad M. Muhammad, Shinya Tasaki, Jeremy H. Herskowitz, David Alan Bennett, Courtney K. Walker, Audrey J. Weber, Nicholas T. Seyfried, Julia P. Andrade, Ashley Adamson, Theodore Daniel Satterthwaite, Kendall A. Curtis, Sydney Covitz, Jakob Seidlitz, Matthew Cieslak, Bernard Ng, Emily H. Poovey, Kelsey M. Greathouse, Chris Gaiteri, Jacob W. Vogel, Ada Zhang
article en
14 citations

Abstract

Brain connectivity arises from interactions across biophysical scales, ranging from molecular to cellular to anatomical to network level. To date, there has been little progress toward integrated analysis across these scales. To bridge this gap, from a unique cohort of 98 individuals, we collected antemortem neuroimaging and genetic data, as well as postmortem dendritic spine morphometric, proteomic and gene expression data from the superior frontal and inferior temporal gyri. Through the integration of the molecular and dendritic spine morphology data, we identified hundreds of proteins that explain interindividual differences in functional connectivity and structural covariation. These proteins are enriched for synaptic structures and functions, energy metabolism and RNA processing. By integrating data at the genetic, molecular, subcellular and tissue levels, we link specific biochemical changes at synapses to connectivity between brain regions. These results demonstrate the feasibility of integrating data from vastly different biophysical scales to provide a more comprehensive understanding of brain connectivity.

Nature NeuroscienceVol. 27(11)
Rush University Medical Center (US), Children's Hospital of Philadelphia (US), Emory University (US), Lund University (SE), SUNY Upstate Medical University (US), Science for Life Laboratory (SE), University of Alabama at Birmingham (US), Lifespan (US), University of Pennsylvania (US)
National Institutes of Health
Openalex Percentile: Top 4%
Functional Brain Connectivity Studies
4.80
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