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the claim
Different brain regions vary significantly in cellular composition, gene expression, and anatomical connectivity.
the verdict
SUPPORTED
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11 sources for · 0 against
Is it true that different brain regions vary significantly in cellular composition, gene expression, and anatomical connectivity?
Yes. Different brain regions vary significantly in cellular composition, gene expression, and anatomical connectivity, as supported by numerous neuroimaging and transcriptomic studies.
Verdict: SUPPORTED · 11 sources for, 0 against · Last checked
The analysis
The retrieved papers consistently demonstrate that brain regions exhibit distinct profiles in gene expression, cellular makeup, metabolism, and anatomical/functional connectivity.
Evidence for · 11
Studies how regional variations in circuit properties and gene expression gradients shape brain connectivity dynamics.
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Kong, X., Kong, R., Orban, C., Wang, P., Zhang, S., Anderson, K., Holmes, A., Murray, J., Deco, G., Heuvel, M. v. d., & Yeo, B. T. (2021). Sensory-motor cortices shape functional connectivity dynamics in the human brain. doi.org. https://doi.org/10.1038/s41467-021-26704-y
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More for · 10
Links regional differences in gene expression to specific patterns of abnormal functional connectivity.
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Talishinsky, A., Downar, J., Vértes, P., Seidlitz, J., Dunlop, K., Lynch, C. J., Whalley, H., McIntosh, A., Vila-Rodriguez, F., Daskalakis, Z., Blumberger, D., & Liston, C. (2022). Regional gene expression signatures are associated with sex-specific functional connectivity changes in depression. doi.org. https://doi.org/10.1038/s41467-022-32617-1
Demonstrates that regional brain vulnerability and atrophy are shaped by structural connectivity and gene expression.
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Rahayel, S., Tremblay, C., Vo, A., Zheng, Y., Lehéricy, S., Arnulf, I., Vidailhet, M., Corvol, J., Gagnon, J., Postuma, R., Montplaisir, J., Lewis, S., Matar, E., Martens, K. E. E., Borghammer, P., Knudsen, K., Hansen, A., Monchi, O., Mišić, B., & Dagher, A. (2021). Brain atrophy in prodromal synucleinopathy is shaped by structural connectivity and gene expression. doi.org. https://doi.org/10.1101/2021.12.27.21268442
Shows that gene expression covaries with regionally matched brain activity and functional connectivity.
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Berto, S., Treacher, A., Caglayan, E., Luo, D., Haney, J., Gandal, M. J., Geschwind, D., Montillo, A., & Konopka, G. (2021). Association between resting-state functional brain connectivity and gene expression is altered in autism spectrum disorder. doi.org. https://doi.org/10.1038/s41467-022-31053-5
Demonstrates that multimodal brain parcellation aligns with regional variations in connectivity and cytoarchitecture.
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Wang, C., Ng, B., & Garbi, R. (2018). Multimodal Brain Parcellation Based on Functional and Anatomical Connectivity. doi.org. https://doi.org/10.1089/brain.2017.0576
Finds that cortical anatomical variations across brain regions are closely associated with transcriptome profiles.
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Han, Y., Yang, Y., Zhou, Z., Jin, X., Shi, H., Shao, M., Song, M., Su, X., Wang, Q., Liu, Q., Li, W., & Lv, L. (2023). Cortical anatomical variations, gene expression profiles, and clinical phenotypes in patients with schizophrenia. doi.org. https://doi.org/10.1016/j.nicl.2023.103451
Identifies extensive gene expression and chromatin accessibility differences across distinct human cortical and subcortical brain regions.
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Dong, P., Song, L., Bendl, J., Misir, R., Shao, Z., Edelstien, J., Davis, D. A., Haroutunian, V., Scott, W. K., Acker, S., Lawless, N., Hoffman, G. E., Fullard, J., & Roussos, P. (2024). A multi-regional human brain atlas of chromatin accessibility and gene expression facilitates promoter-isoform resolution genetic fine-mapping. doi.org. https://doi.org/10.1038/s41467-024-54448-y
Reveals that regional metabolic similarity aligns with cytoarchitectonic similarity and gene co-expression matrices.
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F, L., E, C., P, S., Y, A., P, H., A, K., & P, K. (2025). Constructing the human brain metabolic connectome with MR spectroscopic imaging reveals cerebral biochemical organization.. doi.org. https://doi.org/10.1038/s41467-025-66124-w
Highlights spatial and molecular heterogeneity among cells across different brain regions and layers.
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Q, W. & Y, D. (2026). The applications of single-cell and spatial transcriptomics in neuroscience and brain disorders.. doi.org. https://doi.org/10.1016/j.neubiorev.2026.106721
Integrates whole-brain gene expression atlases with neuroimaging features to explore multiscale brain organization.
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J, Z. & R, B. (2026). Astrocyte heterogeneity in the neocortex: developmental origins, molecular diversity, and functional implications.. doi.org. https://doi.org/10.3389/fcell.2026.1787840
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J, L., X, M., W, X., X, Z., F, L., J, L., & Y, D. (2026). Recent developments in imaging transcriptomics for psychiatric disorders.. doi.org. https://doi.org/10.1093/psyrad/kkag010
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What does the evidence say?
The retrieved papers consistently demonstrate that brain regions exhibit distinct profiles in gene expression, cellular makeup, metabolism, and anatomical/functional connectivity.
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first checked04 Aug 2026
judged → SUPPORTED · 8804 Aug 2026
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