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. Author manuscript; available in PMC: 2023 Feb 15.
Published in final edited form as: Biol Psychiatry. 2021 Jun 29;91(4):380–388. doi: 10.1016/j.biopsych.2021.06.016

Figure 2 -. Data-driven method for identifying a lesion network for spiritual acceptance.

Figure 2 -

(A) The network of brain regions functionally connected to each lesion location was computed using resting state functional connectivity data from a large database of healthy volunteers (N = 1000). Lesion locations and lesion networks are shown for 3 of the 88 neurosurgical cases. Positively connected voxels are shown in warm colors, while negatively connected voxels are shown in cool colors. The peak voxelwise association between lesion connectivity and changes in spiritual acceptance was identified (image shown at uncorrected p < 0.001). (B) Functional connectivity with this peak was computed using the same resting state functional connectivity database from healthy volunteers (N = 1000) to derive a brain circuit for spirituality (image shown after voxelwise correction for multiple comparisons, FWE p < 0.05). (C & D) Circular demonstration that our brain circuit for spirituality aligns with lesion locations associated with decreased spirituality (C) or increased spirituality (D). Lesions locations associated with increased spirituality intersect negatively connected regions (cool colors) while legions associated with decreased spirituality intersect positively connected regions (warm colors).