Toward individualized connectomes of brain morphology

Trends Neurosci. 2023 Dec 22:S0166-2236(23)00273-4. doi: 10.1016/j.tins.2023.11.011. Online ahead of print.ABSTRACTThe morphological brain connectome (MBC) delineates the coordinated patterns of local morphological features (such as cortical thickness) across brain regions. While classically constructed using population-based approaches, there is a growing trend toward individualized modeling. Currently, the methods for individualized MBCs are varied, posing challenges for method selection and cross-study comparisons. Here, we summarize how individualized MBCs are modeled through low-order methods (correlation-, divergence-, distance-, and deviation-based methods) describing relations in brain morphology, as well as high-order methods capturing similarities in these low-order relations. We discuss the merits and limitations of different methods, examining them in the context of robustness, reproducibility, and reliability. We highlight the importance of elucidating the cellular and molecular mechanisms underlying the individualized connectome, and establishing normative benchmarks to assess individual variation in development, aging, and neuropsychiatric disorders.PMID:38142204 | DOI:10.1016/j.tins.2023.11.011

Source: Trends in Neurosciences - December 23, 2023 Category: Neuroscience Authors: Jinhui Wang Yong He Source Type: research