Integration across biophysical scales identifies molecular and cellular correlates of person-to-person variability in human brain connectivity
(2024) In Nature Neuroscience 27(11). p.2240-2252- 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... (More)
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.
(Less)
- author
- organization
- publishing date
- 2024-11
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Nature Neuroscience
- volume
- 27
- issue
- 11
- pages
- 13 pages
- publisher
- Nature Publishing Group
- external identifiers
-
- scopus:85208060592
- pmid:39482360
- ISSN
- 1097-6256
- DOI
- 10.1038/s41593-024-01788-z
- language
- English
- LU publication?
- yes
- id
- b129c3fd-964f-482d-9ece-17d30746a0f9
- date added to LUP
- 2024-12-16 16:00:33
- date last changed
- 2025-07-15 21:45:28
@article{b129c3fd-964f-482d-9ece-17d30746a0f9,
abstract = {{<p>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.</p>}},
author = {{Ng, Bernard and Tasaki, Shinya and Greathouse, Kelsey M. and Walker, Courtney K. and Zhang, Ada and Covitz, Sydney and Cieslak, Matt and Weber, Audrey J. and Adamson, Ashley B. and Andrade, Julia P. and Poovey, Emily H. and Curtis, Kendall A. and Muhammad, Hamad M. and Seidlitz, Jakob and Satterthwaite, Ted and Bennett, David A. and Seyfried, Nicholas T. and Vogel, Jacob and Gaiteri, Chris and Herskowitz, Jeremy H.}},
issn = {{1097-6256}},
language = {{eng}},
number = {{11}},
pages = {{2240--2252}},
publisher = {{Nature Publishing Group}},
series = {{Nature Neuroscience}},
title = {{Integration across biophysical scales identifies molecular and cellular correlates of person-to-person variability in human brain connectivity}},
url = {{http://dx.doi.org/10.1038/s41593-024-01788-z}},
doi = {{10.1038/s41593-024-01788-z}},
volume = {{27}},
year = {{2024}},
}