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Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification.
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Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification.
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Yang, Winson FZ; Toller, Gianina; Shdo, Suzanne; Kotz, Sonja A; Brown, Jesse; Seeley, William W; Kramer, Joel H; Miller, Bruce L; Rankin, Katherine P. - : eScholarship, University of California, 2021
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Abstract:
ObjectiveStructural 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.MethodsOne-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.ResultsAs 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.ConclusionEmotion 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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Keyword:
2.1 Biological and endogenous factors; Acquired Cognitive Impairment; Aging; Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD); Aphasia; Basic Behavioral and Social Science; Behavioral and Social Science; Brain; Brain Disorders; Clinical Research; Dementia; Emotion reading; Emotions; Frontotemporal Dementia; Frontotemporal Dementia (FTD); Functional connectivity; Humans; Magnetic Resonance Imaging; Neurodegeneration; Neurodegenerative; Neurodegenerative Diseases; Neurological; Neurosciences; Primary Progressive; Right anterior temporal lobe; Semantic appraisal network; Semantics
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URL: https://escholarship.org/uc/item/67m8f14f
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A Bayesian optimization approach for rapidly mapping residual network function in stroke. ...
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Age-related differences in the neural bases of phonological and semantic processes.
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Age-related differences in resolving semantic and phonological competition during receptive language tasks.
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Language networks in aphasia and health: A 1000 participant activation likelihood estimation meta-analysis. ...
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A Bayesian optimization approach for rapidly mapping residual network function in stroke.
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Deformation-based shape analysis of the hippocampus in the semantic variant of primary progressive aphasia and Alzheimer's disease.
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A unified model of post-stroke language deficits including discourse production and their neural correlates.
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Balancing Prediction and Sensory Input in Speech Comprehension: The Spatiotemporal Dynamics of Word Recognition in Context. ...
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Assessing and mapping language, attention and executive multidimensional deficits in stroke aphasia. ...
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Assessing and mapping language, attention and executive multidimensional deficits in stroke aphasia.
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Balancing Prediction and Sensory Input in Speech Comprehension: The Spatiotemporal Dynamics of Word Recognition in Context.
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Anomalous morphology in left hemisphere motor and premotor cortex of children who stutter
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An Automated Pipeline for the Analysis of PET Data on the Cortical Surface
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In: ISSN: 1662-5196 ; Frontiers in Neuroinformatics ; https://hal.inria.fr/hal-01950933 ; Frontiers in Neuroinformatics, Frontiers, 2018, 12, ⟨10.3389/fninf.2018.00094⟩ (2018)
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Rates of Amyloid Imaging Positivity in Patients With Primary Progressive Aphasia.
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In: JAMA neurology, vol 75, iss 3 (2018)
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Rates of Amyloid Imaging Positivity in Patients With Primary Progressive Aphasia.
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In: JAMA neurology, vol 75, iss 3 (2018)
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