Stricker Learning Span criterion validity: a remote self-administered multi-device compatible digital word list memory measure shows similar ability to differentiate amyloid and tau PET-defined biomarker groups as in-person Auditory Verbal Learning Test.

Alzheimer’s disease aging cognition mobile health neuropsychological tests neuropsychology smartphone telemedicine

Journal

Journal of the International Neuropsychological Society : JINS
ISSN: 1469-7661
Titre abrégé: J Int Neuropsychol Soc
Pays: England
ID NLM: 9503760

Informations de publication

Date de publication:
30 Jun 2023
Historique:
medline: 30 6 2023
pubmed: 30 6 2023
entrez: 29 6 2023
Statut: aheadofprint

Résumé

The Stricker Learning Span (SLS) is a computer-adaptive digital word list memory test specifically designed for remote assessment and self-administration on a web-based multi-device platform (Mayo Test Drive). We aimed to establish criterion validity of the SLS by comparing its ability to differentiate biomarker-defined groups to the person-administered Rey's Auditory Verbal Learning Test (AVLT). Participants ( The SLS and AVLT showed similar ability to differentiate biomarker-defined groups when comparing AUROCs ( Remotely administered SLS performed similarly to in-person-administered AVLT in its ability to separate biomarker-defined groups, providing evidence of criterion validity. Results suggest the SLS may be sensitive to detecting subtle objective cognitive decline in preclinical AD.

Identifiants

pubmed: 37385974
pii: S1355617723000322
doi: 10.1017/S1355617723000322
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-14

Subventions

Organisme : NIA NIH HHS
ID : R01 AG041851
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG034676
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG016574
Pays : United States
Organisme : NIA NIH HHS
ID : R21 AG073967
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG062677
Pays : United States
Organisme : NIA NIH HHS
ID : R37 AG011378
Pays : United States
Organisme : NIA NIH HHS
ID : RF1 AG055151
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG006786
Pays : United States

Auteurs

Nikki H Stricker (NH)

Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.

John L Stricker (JL)

Department of Information Technology, Mayo Clinic, Rochester, MN, USA.

Ryan D Frank (RD)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Winnie Z Fan (WZ)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Teresa J Christianson (TJ)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Jay S Patel (JS)

Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.

Aimee J Karstens (AJ)

Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.

Walter K Kremers (WK)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Mary M Machulda (MM)

Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.

Julie A Fields (JA)

Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.

Jonathan Graff-Radford (J)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Clifford R Jack (CR)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

David S Knopman (DS)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Michelle M Mielke (MM)

Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA.

Ronald C Petersen (RC)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Classifications MeSH