ArticleBrain communications2023
Automated analysis of written language in the three variants of primary progressive aphasia.
Article in Brain communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Frontotemporal dementia: a systematic review of artificial intelligence approaches in differential diagnosis.Frontiers in aging neuroscience · 2025Pooled it
- Neuropathology-specific language features in primary progressive aphasia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Writing Abilities in Primary Progressive Aphasia: A Scoping Literature Review.Brain sciences · 2026Review
- Review of Artificial Intelligence for Clinical Use in Alzheimer's Disease and Related Dementias.Seminars in neurology · 2026Review
- Artificial intelligence-based speech error detection to differentiate primary progressive aphasia variants.Brain communications · 2026Article
- Written picture descriptions distinguish variants of primary progressive aphasia.Journal of Alzheimer's disease : JAD · 2025Article
- Picture Description and Functional Communication Rating Correlates in Variants of Primary Progressive Aphasia.Aphasiology · 2025Article
- Automated Speech Analysis to Differentiate Frontal and Right Anterior Temporal Lobe Atrophy in Frontotemporal Dementia.Neurology · 2025Article
- Word Count Matters: Features of Written Language Production in Progressive Apraxia of Speech with and without Agrammatism.Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) · 2025Article
- Voiceprints of cognitive impairment: analyzing digital voice for early detection of Alzheimer's and related dementias.NPJ dementia · 2025Article
- Artificial intelligence classifies primary progressive aphasia from connected speech.Brain : a journal of neurology · 2024Article
- Impaired language in Alzheimer's disease: A comparison between English and Persian implicates content-word frequency rather than the noun-verb distinction.medRxiv : the preprint server for health sciences · 2024Article
- Language uncovers visuospatial dysfunction in posterior cortical atrophy: a natural language processing approach.Frontiers in neuroscience · 2024Article
- Using Generative Artificial Intelligence to Classify Primary Progressive Aphasia from Connected Speech.medRxiv : the preprint server for health sciences · 2023Article
- Measuring Sentence Information via Surprisal: Theoretical and Clinical Implications in Nonfluent Aphasia.Annals of neurology · 2023Article
- Agrammatic output in non-fluent, including Broca's, aphasia as a rational behavior.Aphasiology · 2023Article
- Instrument for Assessment of Neurodegenerative Aphasia in Indonesia orJournal of Alzheimer's disease reportsArticle
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the important role of written language in everyday life, abnormalities in functional written communication have been sparsely investigated in primary progressive aphasia. Prior studies have analysed written language separately in each of the three variants of primary progressive aphasia-but have rarely compared them to each other or to spoken language. Manual analysis of written language can be a time-consuming process. We therefore developed a program that quantifies content units and total units in written or transcribed language samples. We analysed written and spoken descriptions of the Western Aphasia Battery picnic scene, based on a predefined content unit corpus. We calculated the ratio of content units to units as a measure of content density. Our cohort included 115 participants (20 controls for written, 20 controls for spoken, 28 participants with nonfluent variant primary progressive aphasia, 30 for logopenic variant and 17 for semantic variant). Our program identified content units with a validity of 99.7% (95%CI 99.5-99.8). All patients wrote fewer units than controls (
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