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

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...

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Autores principales: Yang, Winson F.Z., Toller, Gianina, Shdo, Suzanne, Kotz, Sonja A., Brown, Jesse, Seeley, William W., Kramer, Joel H., Miller, Bruce L., Rankin, Katherine P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319356/
https://www.ncbi.nlm.nih.gov/pubmed/34274726
http://dx.doi.org/10.1016/j.nicl.2021.102755
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author Yang, Winson F.Z.
Toller, Gianina
Shdo, Suzanne
Kotz, Sonja A.
Brown, Jesse
Seeley, William W.
Kramer, Joel H.
Miller, Bruce L.
Rankin, Katherine P.
author_facet Yang, Winson F.Z.
Toller, Gianina
Shdo, Suzanne
Kotz, Sonja A.
Brown, Jesse
Seeley, William W.
Kramer, Joel H.
Miller, Bruce L.
Rankin, Katherine P.
author_sort Yang, Winson F.Z.
collection PubMed
description 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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spelling pubmed-83193562021-08-02 Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification Yang, Winson F.Z. Toller, Gianina Shdo, Suzanne Kotz, Sonja A. Brown, Jesse Seeley, William W. Kramer, Joel H. Miller, Bruce L. Rankin, Katherine P. Neuroimage Clin Regular Article 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. Elsevier 2021-07-07 /pmc/articles/PMC8319356/ /pubmed/34274726 http://dx.doi.org/10.1016/j.nicl.2021.102755 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Yang, Winson F.Z.
Toller, Gianina
Shdo, Suzanne
Kotz, Sonja A.
Brown, Jesse
Seeley, William W.
Kramer, Joel H.
Miller, Bruce L.
Rankin, Katherine P.
Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification
title Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification
title_full Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification
title_fullStr Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification
title_full_unstemmed Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification
title_short Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification
title_sort resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319356/
https://www.ncbi.nlm.nih.gov/pubmed/34274726
http://dx.doi.org/10.1016/j.nicl.2021.102755
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