Social Behavior Observer Checklist: Patterns of Spontaneous Behaviors Differentiate Patients With Neurodegenerative Disease From Healthy Older Adults.

Alzheimer's disease behavior dementia diagnosis frontotemporal lobar degeneration interpersonal measurement neurodegeneration

Journal

Frontiers in neurology
ISSN: 1664-2295
Titre abrégé: Front Neurol
Pays: Switzerland
ID NLM: 101546899

Informations de publication

Date de publication:
2021
Historique:
received: 20 03 2021
accepted: 04 06 2021
entrez: 24 9 2021
pubmed: 25 9 2021
medline: 25 9 2021
Statut: epublish

Résumé

Neurodegenerative disease syndromes often affect personality and interpersonal behavior in addition to cognition, but there are few structured observational measures of altered social demeanor validated for this population. We developed the Social Behavior Observer Checklist (SBOCL), a 3-min checklist tool, to facilitate identification of patterns of interpersonal behavior that are diagnostically relevant to different neurodegenerative syndromes. Research assistants without formal clinical training in dementia used the SBOCL to describe participants' behavior, including 125 healthy older adults and 357 patients diagnosed with one of five neurodegenerative disease syndromes: 135 behavioral variant frontotemporal dementia (bvFTD), 57 semantic variant primary progressive aphasia (svPPA), 51 non-fluent variant PPA (nfvPPA), 65 progressive supranuclear palsy (PSP), and 49 amyloid-positive Alzheimer's disease syndrome (AD), all of whom had concurrent 3D T1 MRI scans available for voxel-based morphometry analysis. SBOCL item interrater reliability ranged from moderate to very high, and score elevations showed syndrome-specific patterns. Subscale scores derived from a degree*frequency product of the items had excellent positive predictive value for identifying patients. Specifically, scores above 2 on the Disorganized subscale, and above 3 on the Reactive and Insensitive subscales, were not seen in any healthy controls but were found in many patients with bvFTD, svPPA, nfvPPA, PSP, and AD syndromes. Both the Disorganized and Reactive subscale scores showed significant linear relationships with frontal and temporal gray matter volume that generalized across syndromes. With these initial psychometric characteristics, the SBOCL may be a useful measure to help non-experts identify patients who are appropriate for additional specialized dementia evaluation, without adding time to patient encounters or requiring the presence of an informant.

Identifiants

pubmed: 34557141
doi: 10.3389/fneur.2021.683162
pmc: PMC8452879
doi:

Types de publication

Journal Article

Langues

eng

Pagination

683162

Subventions

Organisme : NIA NIH HHS
ID : R01 AG029577
Pays : United States
Organisme : NIA NIH HHS
ID : RF1 AG029577
Pays : United States

Informations de copyright

Copyright © 2021 Rankin, Toller, Gavron, La Joie, Wu, Shany-Ur, Callahan, Krassner, Kramer and Miller.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Katherine P Rankin (KP)

Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States.

Gianina Toller (G)

Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States.

Lauren Gavron (L)

Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States.

Renaud La Joie (R)

Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States.

Teresa Wu (T)

Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States.

Tal Shany-Ur (T)

Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States.

Patrick Callahan (P)

Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States.

Maggie Krassner (M)

Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States.

Joel H Kramer (JH)

Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States.

Bruce L Miller (BL)

Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States.

Classifications MeSH