Results 191 to 200 of about 8,342 (214)

Intergroup Threat and the Linguistic Intergroup Bias: A Stress Biomarker Study

Journal of Language and Social Psychology, 2018
This study investigates the physiological consequences of derogation. In the face of an ingroup threat, an opportunity to derogate the outgroup is associated with increases in salivary cortisol, a stress biomarker. These findings support the intergroup anxiety model, which suggests that following an anxiety-inducing threatening experience, outgroup ...
Sinthujaa Sampasivam, Katherine Anne Collins, Catherine Bielajew, Richard Clément   +3 more
openaire   +1 more source

Utility of linguistic biomarkers for prediction of cognitive impairment and limbic predominant age related TDP‐43 neuropathologic change in the oldest old

Alzheimer's & Dementia, 2023
AbstractBackgroundThere is an urgent need for accessible biomarkers that can predict cognitive impairment in older individuals. There is also a complete lack of biomarkers for TAR DNA‐binding protein‐43 (TDP‐43), a frequent and important neurodegenerative pathology in older individuals, currently referred to as Limbic‐predominant Age‐related TDP‐43 ...
Bubbico, Giovanna, Akhlaghipour, Golnoush, Khan, Zainab, El‐Khoury, Annelisse, Corrada, María M. M., Kawas, Claudia H., Paganini‐Hill, Annlia, Sajjadi, S. Ahmad   +7 more
openaire   +3 more sources

Linguistic profiles, brain metabolic patterns and rates of amyloid-β biomarker positivity in patients with mixed primary progressive aphasia

Neurobiology of Aging, 2020
We aimed to detail language profiles, brain metabolic patterns and proportion of Alzheimer's disease biomarkers in a cohort of patients with mixed primary progressive aphasia (mPPA). We considered 58 patients with PPA: 10 with non-fluent/agrammatic variant (nfvPPA), 16 with semantic variant (svPPA), 21 with logopenic variant (lvPPA) and 9 with mPPA ...
Mazzeo S., Polito C., Padiglioni S., Berti V., Bagnoli S., Lombardi G., Piaceri I., Carraro M., De Cristofaro M. T., Passeri A., Ferrari C., Nacmias B., Sorbi S., Bessi V.   +13 more
openaire   +3 more sources

Using explainable artificial intelligence to identify linguistic biomarkers of amyloid pathology in primary progressive aphasia

Abstract Introduction Recent success has been achieved in Alzheimer’s disease (AD) clinical trials targeting amyloid beta (β), demonstrating a reduction in the rate of cognitive decline. However, testing methods for amyloid-β positivity are currently costly or invasive, motivating the development of ...
Cole Robertson, Neguine Rezaii, Daisy Hochberg, Megan Quimby, Phillip Wolff, Bradford C. Dickerson   +5 more
openaire   +2 more sources

Linguistic biomarkers as a diagnostic and prognostic tool for identifying Alzheimer’s Disease

Methods: Utilizing a rich dataset from historical and ongoing Iowa Labor History Oral Project, this study employs machine learning techniques to analyze the spoken language features of participants categorized across a cognitive spectrum—from healthy aging to single domain amnestic MCI (aMCI) and multidomain aMCI. The research focuses on analyzing both
openaire   +1 more source

Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns

IEEE Journal of Biomedical and Health Informatics
Psychiatric evaluation suffers from subjectivity and bias, and is hard to scale due to intensive professional training requirements. In this work, we investigated whether behavioral and physiological signals, extracted from tele-video interviews, differ in individuals with psychiatric disorders.Temporal variations in facial expression, vocal expression,
Zifan Jiang, Salman Seyedi, Emily Griner, Ahmed Abbasi, Ali Bahrami Rad, Hyeokhyen Kwon, Robert O. Cotes, Gari D. Clifford   +7 more
openaire   +2 more sources

Linguistic and Acoustic Biomarkers from Simulated Speech Reveal Early Cognitive Impairment Patterns in Alzheimer’s Disease

Abstract Background Alzheimer’s disease (AD) causes progressive decline in language and cognition. Automated speech analysis has emerged as a promising screening tool, yet clinical data scarcity limits progress.
Akshita Debnath, Souhrid Sarkar
openaire   +1 more source

Digital Linguistic Biomarker

Natural language processing (NLP) and artificial intelligence (AI) are becoming increasingly popular in the clinical community (Wang et al., 2020; Locke et al., 2021). Particularly, a growing interest surrounds the exploitation of speech and language as digital biomarkers, namely ‘objective, quantifiable behavioral data that can be collected and ...
openaire   +1 more source

Distinct neurolinguistic signatures of patients with acquired neurological conditions:. An open library of clinically relevant linguistic biomarkers

Background: Differentiating language impairments caused by neurological conditions such as left hemisphere damage (LHD), right hemisphere damage (RHD), dementia, Mild Cognitive Impairment (MCI), and Traumatic Brain Injury (TBI) is a clinical challenge.
Charalambos Themistocleous, Brielle C Stark   +1 more
openaire   +1 more source

<p><span>Beyond Memory Tests: How Speech Reveals What Dementia Hides — A Technical Overview of Linguistic Biomarker-Based Cognitive Assessment</span></p>

Dementia affects over 55 million people globally and costs the United States alone an estimated $345 billion annually. Yet the most widely used diagnostic tools-the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA)-were designed decades ago, require trained clinicians to administer, and focus primarily on memory recall ...
openaire   +1 more source