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Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification. | LitMetric

Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification.

Neuroimage Clin

Memory and Aging Center, Department of Neurology, University of California San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA 94158, United States. Electronic address:

Published: September 2021

AI Article Synopsis

  • The study investigates the relationship between functional connectivity (FC) in frontotemporal brain networks and the ability to read emotions, particularly in patients with neurodegenerative diseases.
  • Participants included a variety of patient groups along with neurologically healthy controls, who completed an emotion recognition task while undergoing task-free fMRI.
  • Findings show that lower FC in specific areas of the salience and semantic appraisal networks is linked to poorer emotion identification, indicating the importance of functional brain connectivity in assessing emotional processing in clinical contexts.

Article Abstract

Objective: Structural and task-based functional studies associate emotion reading with frontotemporal brain networks, though it remains unclear whether functional connectivity (FC) alone predicts emotion reading ability. The predominantly frontotemporal salience and semantic appraisal (SAN) networks are selectively impacted in neurodegenerative disease syndromes like behavioral-variant frontotemporal dementia (bvFTD) and semantic-variant primary progressive aphasia (svPPA). Accurate emotion identification diminishes in some of these patients, but studies investigating the source of this symptom in patients have predominantly examined structural rather than functional brain changes. Thus, we investigated the impact of altered connectivity on their emotion reading.

Methods: One-hundred-eighty-five participants (26 bvFTD, 21 svPPA, 24 non-fluent variant PPA, 24 progressive supranuclear palsy, 49 Alzheimer's disease, 41 neurologically healthy older controls) underwent task-free fMRI, and completed the Emotion Evaluation subtest of The Awareness of Social Inference Test (TASIT-EET), watching videos and selecting labels for actors' emotions.

Results: As expected, patients averaged significantly worse on emotion reading, but with wide inter-individual variability. Across all groups, lower mean FC in the SAN, but not other ICNs, predicted worse TASIT-EET performance. Node-pair analysis revealed that emotion identification was predicted by FC between 1) right anterior temporal lobe (RaTL) and right anterior orbitofrontal (OFC), 2) RaTL and right posterior OFC, and 3) left basolateral amygdala and left posterior OFC.

Conclusion: Emotion reading test performance predicts FC in specific SAN regions mediating socioemotional semantics, personalized evaluations, and salience-driven attention, highlighting the value of emotion testing in clinical and research settings to index neural circuit dysfunction in patients with neurodegeneration and other neurologic disorders.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319356PMC
http://dx.doi.org/10.1016/j.nicl.2021.102755DOI Listing

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