Results 21 to 30 of about 8,531 (253)

Evaluating spoken language as a biomarker for automated screening of cognitive impairment [PDF]

open access: yesCommunications Medicine
Background Timely and accurate assessment of cognitive impairment remains a major unmet need. Speech biomarkers offer a scalable, non-invasive, cost-effective solution for automated screening.
Maria R. Lima   +6 more
doaj   +2 more sources

PEPAMARKER: a multicenter cohort study protocol on predictive biomarkers of affective vs. non-affective trajectories in first-episode psychosis [PDF]

open access: yesFrontiers in Psychiatry
BackgroundPsychosis is a severe and disabling mental disorder with peak incidence in late adolescence and early adulthood. Following a first-episode psychosis (FEP), clinical trajectories diverge into affective psychoses or non-affective psychoses.
Raphaël Terrisse   +4 more
doaj   +2 more sources

iSense: App to Identify Linguistic Biomarkers of Mood Disorders

open access: yes, 2019
The prevalence of mood disorders has increased exponentially over the past decade, especially in teens. The nature of these disorders is such that most symptoms are in a person’s mind, hence making the growing mental health epidemic extremely difficult to control.
Divya Nori
openaire   +2 more sources

Data-driven subtypes of mixed semantic-logopenic primary progressive aphasia: Linguistic features, biomarker profiles and brain metabolic patterns [PDF]

open access: yesJournal of the Neurological Sciences
Mixed primary progressive aphasia (mPPA) accounts for a substantial proportion of primary progressive aphasia (PPA) cases. However, the lack of a standardised definition of this condition has resulted in misclassification of PPA cases. In this study, we enrolled 55 patients diagnosed with PPA, comprising 12 semantic variant (svPPA), 23 logopenic ...
Mazzeo, Salvatore   +17 more
openaire   +5 more sources

Machine Learning-Based Identification of Phonological Biomarkers for Speech Sound Disorders in Saudi Arabic-Speaking Children

open access: yesDiagnostics
Background/Objectives: This study investigates the application of machine learning (ML) techniques in diagnosing speech sound disorders (SSDs) in Saudi Arabic-speaking children, with a specific focus on phonological biomarkers, particularly Infrequent ...
Deema F. Turki, Ahmad F. Turki
doaj   +2 more sources

More than a biomarker: could language be a biosocial marker of psychosis?

open access: yesnpj Schizophrenia, 2021
Automated extraction of quantitative linguistic features has the potential to predict objectively the onset and progression of psychosis. These linguistic variables are often considered to be biomarkers, with a large emphasis placed on the pathological ...
Lena Palaniyappan
doaj   +1 more source

Understanding psychiatric illness through natural language processing (UNDERPIN): Rationale, design, and methodology

open access: yesFrontiers in Psychiatry, 2022
IntroductionPsychiatric disorders are diagnosed through observations of psychiatrists according to diagnostic criteria such as the DSM-5. Such observations, however, are mainly based on each psychiatrist's level of experience and often lack objectivity ...
Taishiro Kishimoto   +23 more
doaj   +1 more source

Clinical Feasibility of Speech Phenotyping for Remote Assessment of Neurodegenerative and Psychiatric Disorders (RHAPSODY): a study protocol

open access: yesEuropean Psychiatry, 2022
Introduction The diagnosis of neurodegenerative and psychiatric disorders (NPDs) in primary care can suffer from inefficiencies resulting in misdiagnoses and delayed diagnosis, limiting effective treatment options. The development of speech and language-
R. Taylor   +12 more
doaj   +1 more source

Linguistic Abnormalities in Isolated Rapid Eye Movement Sleep Behavior Disorder

open access: yes, 2022
Background: Patients with synucleinopathies frequently display language abnormalities. However, whether patients with isolated rapid eye movement sleep behavior disorder (iRBD) have prodromal language impairment remains unknown.
Dušek P.   +8 more
core   +2 more sources

COMPROMISSIONI SEMANTICO-LESSICALI NEI PAZIENTI ITALOFONI AFFETTI DA DEMENZA: UN’ANALISI CORPUS-BASED

open access: yesItaliano LinguaDue, 2023
Lo studio si pone l’obiettivo di indagare la compromissione semantico-lessicale indotta dall’insorgenza di malattie dementigene per la lingua italiana.
Elena Martinelli, Gloria Gagliardi
doaj   +1 more source

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