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1
Diminished preparatory physiological responses in frontotemporal lobar degeneration syndromes
In: Brain Commun (2022)
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2
Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification.
Yang, Winson FZ; Toller, Gianina; Shdo, Suzanne. - : eScholarship, University of California, 2021
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3
Uniform data set language measures for bvFTD and PPA diagnosis and monitoring.
In: Alzheimer's & dementia (Amsterdam, Netherlands), vol 13, iss 1 (2021)
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4
Social Behavior Observer Checklist: Patterns of Spontaneous Behaviors Differentiate Patients With Neurodegenerative Disease From Healthy Older Adults.
Rankin, Katherine P; Toller, Gianina; Gavron, Lauren. - : eScholarship, University of California, 2021
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5
Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification.
Yang, Winson FZ; Toller, Gianina; Shdo, Suzanne. - : eScholarship, University of California, 2021
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6
What Do We Mean by Behavioral Disinhibition in Frontotemporal Dementia?
Magrath Guimet, Nahuel; Miller, Bruce L; Allegri, Ricardo F. - : eScholarship, University of California, 2021
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7
Uniform data set language measures for bvFTD and PPA diagnosis and monitoring.
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?
Magrath Guimet, Nahuel; Miller, Bruce L; Allegri, Ricardo F. - : eScholarship, University of California, 2021
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9
Social Behavior Observer Checklist: Patterns of Spontaneous Behaviors Differentiate Patients With Neurodegenerative Disease From Healthy Older Adults
In: Front Neurol (2021)
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10
Uniform data set language measures for bvFTD and PPA diagnosis and monitoring
In: Alzheimers Dement (Amst) (2021)
Abstract: INTRODUCTION: The Frontotemporal Lobar Degeneration Module (FTLD‐MOD) includes a neuropsychological battery designed to assess the clinical features of FTLD, although much is unknown about its utility. We investigated FTLD‐MOD and Uniform Data Set 3.0 (UDS) language tests for differential diagnosis and disease monitoring. METHODS: Linear regressions compared baseline performances in 1655 National Alzheimer's Coordinating Center participants (behavioral variant frontotemporal dementia (bvFTD, n = 612), semantic variant primary progressive aphasia (svPPA, n = 168), non‐fluent/agrammatic variant PPA (nfvPPA, n = 168), logopenic variant PPA (lvPPA, n = 109), and controls (n = 581)). Sample sizes to detect treatment effects were estimated using longitudinal data. RESULTS: Among PPAs, the FTLD‐MOD language tasks and UDS Multilingual Naming Test accurately discriminated svPPA. Number Span Forward best discriminated lvPPA; Phonemic:Semantic Fluency ratio was excellent for nfvPPA classification. UDS fluency and naming measures required the smallest sample size to detect meaningful change. DISCUSSION: The FTLD‐MOD and UDS differentiated among PPA subtypes. UDS 3.0 measures performed best for longitudinal monitoring.
Keyword: Cognitive & Behavioral Assessment
URL: https://doi.org/10.1002/dad2.12148
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7896637/
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11
Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification
In: Neuroimage Clin (2021)
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12
Depressive Symptom Profiles Predict Specific Neurodegenerative Disease Syndromes in Early Stages.
Shdo, Suzanne M; Ranasinghe, Kamalini G; Sturm, Virginia E. - : eScholarship, University of California, 2020
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13
Depressive Symptom Profiles Predict Specific Neurodegenerative Disease Syndromes in Early Stages.
Shdo, Suzanne M; Ranasinghe, Kamalini G; Sturm, Virginia E. - : eScholarship, University of California, 2020
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14
Depressive Symptom Profiles Predict Specific Neurodegenerative Disease Syndromes in Early Stages
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.
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.
In: Journal of neurology, vol 266, iss 8 (2019)
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17
Factors that predict diagnostic stability in neurodegenerative dementia.
In: Journal of neurology, vol 266, iss 8 (2019)
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18
Relationship Turmoil and Emotional Empathy in Frontotemporal Dementia.
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.
Toller, Gianina; Yang, Winson FZ; Brown, Jesse A. - : eScholarship, University of California, 2019
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20
Relationship Turmoil and Emotional Empathy in Frontotemporal Dementia.
In: Alzheimer disease and associated disorders, vol 33, iss 3 (2019)
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