Study identifies cellular and molecular roots of individual brain connectivity differences

By integrating diverse data sources, researchers unveil how cellular mechanisms influence individual brain connectivity patterns, bridging molecular detail with large-scale brain function.

Study: Integration across biophysical scales identifies molecular and cellular correlates of person-to-person variability in human brain connectivity. Image Credit: Shutterstock AI / Shutterstock.com

In a recent study published in the journal Nature Neuroscience, researchers explore associations between biochemical alternations and functional connectivity across brain regions.

Novel approaches to neuroscience research

One of the primary goals of neuroscience is to elucidate the role of microscale components, including protein molecules and cellular structures, in communication between discrete brain regions. To date, the molecular mechanisms involved in the functional connectivity within the brain remain unclear despite molecular and neuroimaging research independently revealing cognition and brain function correlates.

To date, antemortem neuroimaging data and postmortem molecular omics data were collected separately and, rarely, from the same individual, which has prevented the analysis of patient-specific ante- and postmortem data comparisons.

A potential solution for this data gap is acquiring multiple lines of antemortem and postmortem data from a consistent human sample pool. However, the complexity of this approach has prevented the validation of this hypothesis.

About the study

The present study utilized six unique data sources, including ante- and postmortems from elderly volunteers, to identify molecular mechanisms involved in brain connectivity. The study cohort comprised 98 adults, 77% of whom were female, from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP).

While alive, patients underwent magnetic resonance imaging (MRI) and provided samples for genetic sequencing. Protein abundance, gene expression, and dendritic spine morphometry were determined after death. Data collection included annual clinical evaluations, alongside antemortem data collection, and participants' brain donations for postmortem data.

Since the high number of identified proteins may differ in their relative abundances and expression levels between participants and across brain-region connectivity, the researchers focused on connectivity between the superior frontal gyrus (SFG) and inferior temporal gyrus (ITG).

Experimental procedures included structural- and functional MRI (fMRI) scans for obtaining neuroimaging data, multiplex tandem mass tag mass spectrometry (TMT-MS) and liquid chromatography coupled with tandem mass spectrometry (LS-MS/MS) for proteomic analysis, bicinchoninic acid assay for protein concentration estimation, and the Illumina TruSeq platform for transcriptomic data. For dendritic spine morphometry evaluations, excised SFG and ITG samples were subjected to Golgi-Cox staining followed by bright-field microscopy imaging.

Resting-state fMRI data from the Schaefer2018 functional atlas was used to separate the brain into functionally homogenous regions, thereby allowing for the estimation of functional connectivity between SFG and ITG. The Desikan-Killiany-Tourville (DKT) atlas, in tandem with the Freesurfer cortical surface platform, was used to derive structural covariation from participants' brain morphological data.

Molecular model estimation using SpeakEasy, proteomic characterization from the GSEA database, and module—and molecule-level association analyses were also performed.

Study findings

Participants' mean ages at the time of MRI imaging and mortality were 88 and 91 years, respectively. Schaefer2018 functional atlas extracted structural attributes were combined with DKT atlas datasets to separate the brain into 62 unique anatomical regions. Proteomic investigations of SFG and ITG molecular systems revealed significant gene/protein overlap between these regions.

Dendritic spine morphology characterization in tandem with GSEA analysis revealed protein-associated enrichment in spine density, synapses, and actin cytoskeletons. Functional associations, including neurotransmitter release and synaptic signaling, were also enriched. Notably, the SFG and ITG statistically differed in their spine density, filopodia density, and mushroom spine head diameter.

The current study validated the relevance of using antemortem and postmortem data in unison by highlighting molecular abundances and brain connectivity patterns. These patterns demonstrate significant regional specificity, thus necessitating future research on connectivity between other brain regions. Molecular and neuroimaging data indicated strong concordance with the results, confirming this approach's robustness.

Our study has broader implications in that it demonstrates the feasibility of detecting synchrony among systems of different scales in humans, which constitutes a step toward a more coherent understanding of brain function.”

Conclusions

The current study is the first to combine antemortem and postmortem data from the same individuals. These findings reveal hundreds of unique proteins associated with brain-region connectivity, 12 of which exhibited causal associations, while others showed structural contributions.

These results provide a better understanding of the various molecular associations involved in brain-region connectivity. The researchers also successfully characterized a robust set of molecular signatures that can be used for future connectivity investigations and brain drug discovery research.

Acquiring data across the major perspectives in human neuroscience from the same set of brains is foundational for understanding how human brain function is supported at multiple biophysical scales.”

Journal reference:
  • Ng, B., Tasaki, S., Greathouse, K. M. et al. (2024). Integration across biophysical scales identifies molecular and cellular correlates of person-to-person variability in human brain connectivity. Nature Neuroscience. doi:10.1038/s41593-024-01788-z
Hugo Francisco de Souza

Written by

Hugo Francisco de Souza

Hugo Francisco de Souza is a scientific writer based in Bangalore, Karnataka, India. His academic passions lie in biogeography, evolutionary biology, and herpetology. He is currently pursuing his Ph.D. from the Centre for Ecological Sciences, Indian Institute of Science, where he studies the origins, dispersal, and speciation of wetland-associated snakes. Hugo has received, amongst others, the DST-INSPIRE fellowship for his doctoral research and the Gold Medal from Pondicherry University for academic excellence during his Masters. His research has been published in high-impact peer-reviewed journals, including PLOS Neglected Tropical Diseases and Systematic Biology. When not working or writing, Hugo can be found consuming copious amounts of anime and manga, composing and making music with his bass guitar, shredding trails on his MTB, playing video games (he prefers the term ‘gaming’), or tinkering with all things tech.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Francisco de Souza, Hugo. (2024, November 03). Study identifies cellular and molecular roots of individual brain connectivity differences. News-Medical. Retrieved on November 04, 2024 from https://www.news-medical.net/news/20241103/Study-identifies-cellular-and-molecular-roots-of-individual-brain-connectivity-differences.aspx.

  • MLA

    Francisco de Souza, Hugo. "Study identifies cellular and molecular roots of individual brain connectivity differences". News-Medical. 04 November 2024. <https://www.news-medical.net/news/20241103/Study-identifies-cellular-and-molecular-roots-of-individual-brain-connectivity-differences.aspx>.

  • Chicago

    Francisco de Souza, Hugo. "Study identifies cellular and molecular roots of individual brain connectivity differences". News-Medical. https://www.news-medical.net/news/20241103/Study-identifies-cellular-and-molecular-roots-of-individual-brain-connectivity-differences.aspx. (accessed November 04, 2024).

  • Harvard

    Francisco de Souza, Hugo. 2024. Study identifies cellular and molecular roots of individual brain connectivity differences. News-Medical, viewed 04 November 2024, https://www.news-medical.net/news/20241103/Study-identifies-cellular-and-molecular-roots-of-individual-brain-connectivity-differences.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.