Dynamic subcortical modulators of human default mode network function. (31st December 2021)

• Record Type: Journal Article
• Authors: Harrison, Ben J; Davey, Christopher G; Savage, Hannah S; Jamieson, Alec J; Leonards, Christine A; Moffat, Bradford A; Glarin, Rebecca K; Steward, Trevor
• Is Part Of: Cerebral cortex. Volume 32:Number 19(2022)
• Page Start: 4345
• Page End: 4355
• Publication Date: 2021-12-31
• Subjects: default mode network -- basal forebrain -- thalamus -- self -- deactivation; Cerebral cortex -- Periodicals; Brain -- Periodicals; 612.825
• DOI: 10.1093/cercor/bhab487
• Languages: English
• ISSNs: 1047-3211

Abstract

Abstract: The brain's "default mode network" (DMN) enables flexible switching between internally and externally focused cognition. Precisely how this modulation occurs is not well understood, although it may involve key subcortical mechanisms, including hypothesized influences from the basal forebrain (BF) and mediodorsal thalamus (MD). Here, we used ultra-high field (7 T) functional magnetic resonance imaging to examine the involvement of the BF and MD across states of task-induced DMN activity modulation. Specifically, we mapped DMN activity suppression ("deactivation") when participants transitioned between rest and externally focused task performance, as well as DMN activity engagement ("activation") when task performance was internally (i.e., self) focused. Consistent with recent rodent studies, the BF showed overall activity suppression with DMN cortical regions when comparing the rest to external task conditions. Further analyses, including dynamic causal modeling, confirmed that the BF drove changes in DMN cortical activity during these rest-to-task transitions. The MD, by comparison, was specifically engaged during internally focused cognition and demonstrated a broad excitatory influence on DMN cortical activation. These results provide the first direct evidence in humans of distinct BF and thalamic circuit influences on the control of DMN function and suggest novel mechanistic avenues for ongoing translational research.