Editorial: Digital linguistic biomarkers: beyond paper and pencil tests, volume II [PDF]
Frontiers in Psychology, 2023 As the co-editors of the second edition of “Digital linguistic biomarkers: beyond paper and pencil tests,” we are pleased to present this Research Topic of cutting-edge research articles that continue to explore the exciting intersection of linguistics, technology, and cognitive science.
Jon Andoni Duñabeitia +4 more
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Editorial: Digital Linguistic Biomarkers: Beyond Paper and Pencil Tests [PDF]
Frontiers in Psychology, 2021 Over the last few years, a growing body of linguistic studies have been devoted to the clinical domain, and neuroscience and mental health are no exception to this. However, many of the factors underlying cognitive and neuropsychiatric symptoms are hard to foresee; furthermore, it is often difficult to predict the disease trajectory.
Gloria Gagliardi +4 more
doaj +8 more sources
Editorial: Linguistic biomarkers of neurological, cognitive, and psychiatric disorders: verification, analytical validation, clinical validation, and machine learning [PDF]
Frontiers in PsychologyRatree Wayland +3 more
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CharMark: character-level Markov modeling for interpretable linguistic biomarkers of cognitive decline [PDF]
Frontiers in Digital HealthDementia, one of the most prevalent neurodegenerative diseases, affects millions worldwide. Understanding linguistic markers of dementia is crucial for elucidating how cognitive decline manifests in speech patterns.
Kevin Mekulu, Faisal Aqlan, Hui Yang
doaj +4 more sources
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline [PDF]
Annu Int Conf IEEE Eng Med Biol Soc, 2023 IEEE EMBC ...
Mingyue Tang +2 more
exaly +5 more sources
Character-level linguistic biomarkers for precision assessment of cognitive decline: a symbolic recurrence approach [PDF]
Frontiers in Aging NeuroscienceEarly-stage Alzheimer's disease (AD) remains difficult to assess using conventional linguistic or cognitive assessments, which often overlook subtle and individualized disruptions in speech.
Kevin Mekulu, Faisal Aqlan, Hui Yang
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Screening for early Alzheimer’s disease: enhancing diagnosis with linguistic features and biomarkers
Frontiers in Aging NeuroscienceIntroductionResearch has shown that speech analysis demonstrates sensitivity in detecting early Alzheimer’s disease (AD), but the relation between linguistic features and cognitive tests or biomarkers remains unclear.
Chia-Ju Chou +14 more
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Detecting CSF-validated Alzheimer’s disease from spontaneous speech in German: an interpretable end-to-end machine-learning framework [PDF]
Frontiers in NeurologyBackgroundSpeech and language impairments, long recognized as early symptoms of Alzheimer’s disease (AD), can now be quantified with unprecedented precision due to recent advances in natural language processing (NLP) and artificial intelligence (AI ...
Daniel Wiechmann +8 more
doaj +2 more sources
Frontiers in Neurology, 2023 Motor impairments are only one aspect of Parkinson's disease (PD), which also include cognitive and linguistic impairments. Speech-derived interpretable biomarkers may help clinicians diagnose PD at earlier stages and monitor the disorder's evolution ...
Anna Favaro +8 more
doaj +3 more sources
Speech analysis for differentiating bipolar disorder and major depressive disorder during euthymic states [PDF]
Annals of General PsychiatryObjective Differentiating major depressive disorder (MDD) from bipolar disorder (BP) is crucial for early diagnosis and targeted treatment. This study investigates speech, linguistic biomarkers, and machine learning models to differentiate between the ...
Jhen-Wu Lai +3 more
doaj +2 more sources