Brain structural alterations are distributed following functional, anatomic and genetic connectivity.

Publisher: Oxford University Press Country of Publication: England NLM ID: 0372537 Publication Model: Print Cited Medium: Internet ISSN: 1460-2156 (Electronic) Linking ISSN: 00068950 NLM ISO Abbreviation: Brain Subsets: MEDLINE

Publication: Oxford : Oxford University Press
Original Publication: London.

Brain Mapping* ; Gene Regulatory Networks* ; Models, Neurological*; Brain/*anatomy & histology ; Neural Pathways/*physiology; Adult ; Brain/diagnostic imaging ; Brain/physiopathology ; Diffusion Tensor Imaging ; Female ; Humans ; Image Processing, Computer-Assisted ; Male ; Nerve Net/physiology ; Neural Pathways/diagnostic imaging ; Reproducibility of Results ; Young Adult

The pathological brain is characterized by distributed morphological or structural alterations in the grey matter, which tend to follow identifiable network-like patterns. We analysed the patterns formed by these alterations (increased and decreased grey matter values detected with the voxel-based morphometry technique) conducting an extensive transdiagnostic search of voxel-based morphometry studies in a large variety of brain disorders. We devised an innovative method to construct the networks formed by the structurally co-altered brain areas, which can be considered as pathological structural co-alteration patterns, and to compare these patterns with three associated types of connectivity profiles (functional, anatomical, and genetic). Our study provides transdiagnostical evidence that structural co-alterations are influenced by connectivity constraints rather than being randomly distributed. Analyses show that although all the three types of connectivity taken together can account for and predict with good statistical accuracy, the shape and temporal development of the co-alteration patterns, functional connectivity offers the better account of the structural co-alteration, followed by anatomic and genetic connectivity. These results shed new light on the possible mechanisms at the root of neuropathological processes and open exciting prospects in the quest for a better understanding of brain disorders.

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R01 MH074457 United States MH NIMH NIH HHS

Date Created: 20181023 Date Completed: 20190715 Latest Revision: 20191101

20231215

PMC6202577

10.1093/brain/awy252

30346490