Bernard Ng, Shinya Tasaki, Kelsey M. Greathouse, Courtney K. Walker, Ada Zhang, Sydney Covitz, Matt Cieslak, Audrey J. Weber, Ashley B. Adamson, Julia P. Andrade, Emily H. Poovey, Kendall A. Curtis, Hamad M. Muhammad, Jakob Seidlitz, Ted Satterthwaite, David A. Bennett, Nicholas T. Seyfried, Jacob Vogel, Chris Gaiteri, Jeremy H. Herskowitz
{"title":"跨生物物理尺度的整合确定了人脑连通性中人与人之间差异的分子和细胞相关性","authors":"Bernard Ng, Shinya Tasaki, Kelsey M. Greathouse, Courtney K. Walker, Ada Zhang, Sydney Covitz, Matt Cieslak, Audrey J. Weber, Ashley B. Adamson, Julia P. Andrade, Emily H. Poovey, Kendall A. Curtis, Hamad M. Muhammad, Jakob Seidlitz, Ted Satterthwaite, David A. Bennett, Nicholas T. Seyfried, Jacob Vogel, Chris Gaiteri, Jeremy H. Herskowitz","doi":"10.1038/s41593-024-01788-z","DOIUrl":null,"url":null,"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. Integration of postmortem molecular and dendritic spine morphological measurements enables the detection of microscale molecules associated with person-to-person variability in macroscale brain connectivity estimated from antemortem neuroimaging.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"27 11","pages":"2240-2252"},"PeriodicalIF":21.2000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41593-024-01788-z.pdf","citationCount":"0","resultStr":"{\"title\":\"Integration across biophysical scales identifies molecular and cellular correlates of person-to-person variability in human brain connectivity\",\"authors\":\"Bernard Ng, Shinya Tasaki, Kelsey M. Greathouse, Courtney K. Walker, Ada Zhang, Sydney Covitz, Matt Cieslak, Audrey J. Weber, Ashley B. Adamson, Julia P. Andrade, Emily H. Poovey, Kendall A. Curtis, Hamad M. 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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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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. Integration of postmortem molecular and dendritic spine morphological measurements enables the detection of microscale molecules associated with person-to-person variability in macroscale brain connectivity estimated from antemortem neuroimaging.
期刊介绍:
Nature Neuroscience, a multidisciplinary journal, publishes papers of the utmost quality and significance across all realms of neuroscience. The editors welcome contributions spanning molecular, cellular, systems, and cognitive neuroscience, along with psychophysics, computational modeling, and nervous system disorders. While no area is off-limits, studies offering fundamental insights into nervous system function receive priority.
The journal offers high visibility to both readers and authors, fostering interdisciplinary communication and accessibility to a broad audience. It maintains high standards of copy editing and production, rigorous peer review, rapid publication, and operates independently from academic societies and other vested interests.
In addition to primary research, Nature Neuroscience features news and views, reviews, editorials, commentaries, perspectives, book reviews, and correspondence, aiming to serve as the voice of the global neuroscience community.