4.8 Article

Individual deviations from normative models of brain structure in a large cross-sectional schizophrenia cohort

Journal

MOLECULAR PSYCHIATRY
Volume 26, Issue 7, Pages 3512-3523

Publisher

SPRINGERNATURE
DOI: 10.1038/s41380-020-00882-5

Keywords

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Funding

  1. National Health and Medical Research Council (NHMRC) [386500]
  2. Pratt Foundation, Ramsay Health Care
  3. Viertel Charitable Foundation
  4. Schizophrenia Research Institute from the NSW Ministry of Health
  5. NHMRC [APP1103252, APP1099082, APP1138711, APP1142801, APP1140764, APP1105825, APP1117724, APP1136649]
  6. NHMRC Emerging Leadership Investigator Grants [APP1175754, APP1177370]
  7. ARC DECRA Fellowship
  8. Adrian & Simone Frutiger Foundation
  9. NIH [R01MH108574]

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The study found widespread brain structural abnormalities in patients with schizophrenia, including reductions in white matter tracts and cortical regions. However, the locations of these structural abnormalities are highly inconsistent between individuals, with most patients not matching the group-consensus pathological maps.
The heterogeneity of schizophrenia has defied efforts to derive reproducible and definitive anatomical maps of structural brain changes associated with the disorder. We aimed to map deviations from normative ranges of brain structure for individual patients and evaluate whether the loci of individual deviations recapitulated group-average brain maps of schizophrenia pathology. For each of 48 white matter tracts and 68 cortical regions, normative percentiles of variation in fractional anisotropy (FA) and cortical thickness (CT) were established using diffusion-weighted and structural MRI from healthy adults (n = 195). Individuals with schizophrenia (n = 322) were classified as either within the normative range for healthy individuals of the same age and sex (5-95% percentiles), infra-normal (<5% percentile) or supra-normal (>95% percentile). Repeating this classification for each tract and region yielded a deviation map for each individual. Compared to the healthy comparison group, the schizophrenia group showed widespread reductions in FA and CT, involving virtually all white matter tracts and cortical regions. Paradoxically, however, no more than 15-20% of patients deviated from the normative range for any single tract or region. Furthermore, 79% of patients showed infra-normal deviations for at least one locus (healthy individuals: 59 +/- 2%,p < 0.001). Thus, while infra-normal deviations were common among patients, their anatomical loci were highly inconsistent between individuals. Higher polygenic risk for schizophrenia associated with a greater number of regions with infra-normal deviations in CT (r = -0.17,p = 0.006). We conclude that anatomical loci of schizophrenia-related changes are highly heterogeneous across individuals to the extent that group-consensus pathological maps are not representative of most individual patients. Normative modeling can aid in parsing schizophrenia heterogeneity and guiding personalized interventions.

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