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Diminished preparatory physiological responses in frontotemporal lobar degeneration syndromes
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In: Brain Commun (2022)
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Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification.
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Uniform data set language measures for bvFTD and PPA diagnosis and monitoring.
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In: Alzheimer's & dementia (Amsterdam, Netherlands), vol 13, iss 1 (2021)
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Social Behavior Observer Checklist: Patterns of Spontaneous Behaviors Differentiate Patients With Neurodegenerative Disease From Healthy Older Adults.
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Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification.
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| 6 |
What Do We Mean by Behavioral Disinhibition in Frontotemporal Dementia?
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| 7 |
Uniform data set language measures for bvFTD and PPA diagnosis and monitoring.
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In: Alzheimer's & dementia (Amsterdam, Netherlands), vol 13, iss 1 (2021)
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| 8 |
What Do We Mean by Behavioral Disinhibition in Frontotemporal Dementia?
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| 9 |
Social Behavior Observer Checklist: Patterns of Spontaneous Behaviors Differentiate Patients With Neurodegenerative Disease From Healthy Older Adults
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In: Front Neurol (2021)
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Uniform data set language measures for bvFTD and PPA diagnosis and monitoring
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In: Alzheimers Dement (Amst) (2021)
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| 11 |
Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification
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In: Neuroimage Clin (2021)
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Depressive Symptom Profiles Predict Specific Neurodegenerative Disease Syndromes in Early Stages.
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| 13 |
Depressive Symptom Profiles Predict Specific Neurodegenerative Disease Syndromes in Early Stages.
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Shdo, Suzanne M; Ranasinghe, Kamalini G; Sturm, Virginia E; Possin, Katherine L; Bettcher, Brianne M; Stephens, Melanie L; Foley, Jessica M; You, Shou-Chin Christine; Rosen, Howard J; Miller, Bruce L; Kramer, Joel H; Rankin, Katherine P. - : eScholarship, University of California, 2020
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Abstract:
Background: During early stages, patients with neurodegenerative diseases (NDG) often present with depressive symptoms. However, because depression is a heterogeneous disorder, more precise delineation of the specific depressive symptom profiles that arise early in distinct NDG syndromes is necessary to enhance patient diagnosis and care. Methods and Findings: Five-hundred and sixty four participants self-reported their depressive symptoms using the Geriatric Depression Scale (GDS), including 111 healthy older control subjects (NC) and 453 patients diagnosed with one of six NDGs who were at the mild stage of disease (CDR® Dementia Staging Instrument ≤ 1) [186 Alzheimer's disease (AD), 76 behavioral variant frontotemporal dementia (bvFTD), 52 semantic variant primary progressive aphasia (svPPA), 46 non-fluent variant PPA (nfvPPA), 49 progressive supranuclear palsy syndrome (PSPS), 44 corticobasal syndrome (CBS)]. The GDS was divided into subscales based on a previously published factor analysis, representing five symptoms (dysphoria, hopelessness, withdrawal, worry, and cognitive concerns). Mixed models were created to examine differences in depression subscale by group, and logistic regression analyses were performed to determine if patterns of depressive symptoms could predict a patient's NDG syndrome. PSPS patients presented with a hopeless, dysphoric, and withdrawn pattern, while patients with CBS presented with a similar but less severe pattern. Worry was a key symptom in the profile of patients with svPPA, while ADs only had abnormally elevated cognitive concerns. Depressive profile accurately predicted NDG diagnosis at a rate of between 70 and 84% accuracy. Conclusions: These results suggest that attention to specific depressive symptom profile can improve diagnostic sensitivity and can be used to provide more individualized patient care.
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Keyword:
2.1 Biological and endogenous factors; 7.3 Management and decision making; Acquired Cognitive Impairment; Aging; Alzheimer's; Alzheimer's Disease; Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD); Behavioral and Social Science; Brain Disorders; Clinical Research; Clinical Sciences; Dementia; depression; dysphora; frontotemporal dementia; Frontotemporal Dementia (FTD); hopelessness; Mental Health; Neurodegenerative; neurodegenerative disease; Neurological; Neurosciences; progressive supranuclear palsy; Psychology; Rare Diseases; worry
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URL: https://escholarship.org/uc/item/7d043256
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| 14 |
Depressive Symptom Profiles Predict Specific Neurodegenerative Disease Syndromes in Early Stages
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In: Front Neurol (2020)
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| 15 |
Divergent patterns of loss of interpersonal warmth in frontotemporal dementia syndromes are predicted by altered intrinsic network connectivity.
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In: Toller, Gianina; Yang, Winson FZ; Brown, Jesse A; Ranasinghe, Kamalini G; Shdo, Suzanne M; Kramer, Joel H; et al.(2019). Divergent patterns of loss of interpersonal warmth in frontotemporal dementia syndromes are predicted by altered intrinsic network connectivity. NeuroImage. Clinical, 22, 101729. doi:10.1016/j.nicl.2019.101729. UCSF: Retrieved from: http://www.escholarship.org/uc/item/9qm527cr (2019)
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| 16 |
Factors that predict diagnostic stability in neurodegenerative dementia.
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In: Journal of neurology, vol 266, iss 8 (2019)
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| 17 |
Factors that predict diagnostic stability in neurodegenerative dementia.
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In: Journal of neurology, vol 266, iss 8 (2019)
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| 18 |
Relationship Turmoil and Emotional Empathy in Frontotemporal Dementia.
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In: Alzheimer disease and associated disorders, vol 33, iss 3 (2019)
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| 19 |
Divergent patterns of loss of interpersonal warmth in frontotemporal dementia syndromes are predicted by altered intrinsic network connectivity.
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| 20 |
Relationship Turmoil and Emotional Empathy in Frontotemporal Dementia.
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In: Alzheimer disease and associated disorders, vol 33, iss 3 (2019)
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