Finding clues for Alzheimer's disease in online language

Significant differences in online activity and language patterns between AD patients and controls suggest that analyzing social media activity can provide valuable insights into cognitive decline. By leveraging such linguistic and behavioral markers, future models may enable early detection of dementia in a scalable and non-invasive manner.

Authors

Yuval Pinter (ORCID: https://orcid.org/0000-0003-3174-1621)
Talya Sadeh (ORCID: https://orcid.org/0000-0002-0717-8034)
Shira Darchi

Institutions

Ben-Gurion University of the Negev (IL)

Publication Details

Journal: Alzheimer s & Dementia
Published: 2025-12-01
DOI: https://doi.org/10.1002/alz70863_110566
Primary Topic: Mental Health via Writing
Type: article
Field-Weighted Citation Impact: 0.00

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article

Finding clues for Alzheimer's disease in online language

Yuval Pinter, Talya Sadeh, Shira Darchi

Dec 1, 2025

Alzheimer s & Dementia

Mental Health via Writing

article

Finding clues for Alzheimer's disease in online language

Yuval Pinter, Talya Sadeh, Shira Darchi

December 1, 2025article en

Abstract

Alzheimer s & DementiaVol. 21(S9)

Ben-Gurion University of the Negev (IL)

Quality Education

Openalex Percentile: Top 29%

Mental Health via Writing

DOI Open Access PDF OpenAlex

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Finding clues for Alzheimer's disease in online language — Yuval Pinter, Talya Sadeh, et al. · Alzheimer s & Dementia (2025) | TGRS Research Map | TGRS