DE eng

Search in the Catalogues and Directories

Hits 1 – 11 of 11

1
Applying speech technologies to assess verbal memory in patients with serious mental illness
Holmlund, Terje B.; Chandler, Chelsea; Foltz, Peter W.. - : Nature Publishing Group UK, 2020
BASE
Show details
2
24.4 MOVING SPEECH TECHNOLOGY METHODS OUT OF THE LABORATORY: PRACTICAL CHALLENGES AND CLINICAL TRANSLATION OPPORTUNITIES FOR PSYCHIATRY
Holmlund, Terje; Foltz, Peter W; Cohen, Alex S. - : Oxford University Press, 2019
BASE
Show details
3
The effect of limited cognitive resources on communication disturbances in serious mental illness
In: PMC (2017)
BASE
Show details
4
Can RDoC Help Find Order in Thought Disorder?
Cohen, Alex S.; Le, Thanh P.; Fedechko, Taylor L.. - : Oxford University Press, 2017
BASE
Show details
5
The effect of limited cognitive resources on communication disturbances in serious mental illness
BASE
Show details
6
An examination of the language construct in NIMH's research domain criteria: Time for reconceptualization!
Elvevåg, Brita; Cohen, Alex S.; Wolters, Maria K.. - : John Wiley and Sons Inc., 2016
BASE
Show details
7
What do we really know about blunted vocal affect and alogia? A meta-analysis of objective assessments
BASE
Show details
8
The Normalities and Abnormalities Associated with Speech in Psychometrically-Defined Schizotypy
BASE
Show details
9
Speech Deficits in Serious mental Illness: A Cognitive Resource Issue?
BASE
Show details
10
Authentic interactive reenactment of cultural heritage with 3D virtual worlds and artificial intelligence
BASE
Show details
11
Computerized Measurement of Negative Symptoms in Schizophrenia
Abstract: Accurate measurement of negative symptoms is crucial for understanding and treating schizophrenia. However, current measurement strategies are reliant on subjective symptom rating scales which often have psychometric and practical limitations. Computerized analysis of patients’ speech offers a sophisticated and objective means of evaluating negative symptoms. The present study examined the feasibility and validity of using widely-available acoustic and lexical-analytic software to measure flat affect, alogia and anhedonia (via positive emotion). These measures were examined in their relationships to clinically-rated negative symptoms and social functioning. Natural speech samples were collected and analyzed for 14 patients with clinically-rated flat affect, 46 patients without flat affect and 19 healthy controls. The computer-based inflection and speech rate measures significantly discriminated patients with flat affect from controls, and the computer-based measure of alogia and negative emotion significantly discriminated the flat and non-flat patients. Both the computer and clinical measures of positive emotion/anhedonia corresponded to functioning impairments. The computerized method of assessing negative symptoms offered a number of advantages over the symptom scale-based approach.
Keyword: Article
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2488151
http://www.ncbi.nlm.nih.gov/pubmed/17920078
https://doi.org/10.1016/j.jpsychires.2007.08.008
BASE
Hide details

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
11
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern