Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Preparation and characterization of visible-light-driven TiO2 photocatalyst Co-doped with nitrogen and erbium.

Journal of nanoscience and nanotechnology·2012

Same author

A novel sucrose phosphorylase from the metagenomes of sucrose-rich environment: isolation and characterization.

World journal of microbiology & biotechnology·2012

Same author

A metal-based inhibitor of tumor necrosis factor-α.

Angewandte Chemie (International ed. in English)·2012

Same author

[Effect of snail control of niclosamide by soil mixing and spraying methods in high dam of terrace].

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control·2012

Same author

Activation of the CB2 receptor system reverses amyloid-induced memory deficiency.

Neurobiology of aging·2012

Same author

[Down-regulation of transcription factor PU.1 via abnormal epigenetic modification in chronic myeloid leukemia].

Zhonghua zhong liu za zhi [Chinese journal of oncology]·2012

Search research articles

Related Experiment Video

Updated: Sep 2, 2025

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Published on: December 2, 2015

Automatic Schizophrenia Detection Using Multimodality Media via a Text Reading Task.

Jing Zhang¹, Hui Yang¹, Wen Li¹

¹College of Biomedical Engineering, Sichuan University, Chengdu, China.

Frontiers in Neuroscience

|August 1, 2022

Summary

This summary is machine-generated.

This study introduces an automatic schizophrenia detection algorithm using speech and video analysis, achieving 97.50% accuracy. The method identifies emotional flatness and reading deficits in patients, aiding early diagnosis.

Keywords:

head movement multimodality reading deficit reading fluency schizophrenia speech video

More Related Videos

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

Assessment and Communication for People with Disorders of Consciousness

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

Related Experiment Videos

Last Updated: Sep 2, 2025

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Published on: December 2, 2015

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

Assessment and Communication for People with Disorders of Consciousness

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

Area of Science:

Psychiatry
Computer Science
Speech and Language Pathology

Background:

Schizophrenia is a chronic mental illness impacting global populations.
Reading deficits are a notable symptom in schizophrenic patients.
Objective diagnostic tools for schizophrenia are crucial for early intervention.

Purpose of the Study:

To develop an automatic schizophrenia detection algorithm.
To leverage speech and video analysis, focusing on reading deficits.
To enhance early and auxiliary diagnostic capabilities for schizophrenia.

Main Methods:

Utilized speech and video data from 40 participants (20 schizophrenic, 20 controls).
Developed an acoustic model for speech emotional flatness.
Extracted head movement and reading fluency features from video data.
Employed machine learning classifiers like Support Vector Machines and Random Forest.

Main Results:

Acoustic model accuracy ranged from 94.38% to 96.50%.
Head movement and reading fluency features achieved accuracies between 73.38-83.38% and 79.50-83.63%, respectively.
The integrated automatic schizophrenia detection algorithm reached an average accuracy of 97.50%.

Conclusions:

The proposed algorithm effectively detects schizophrenia based on reading deficits.
Speech and video analysis provide valuable biomarkers for schizophrenia.
This automated approach shows promise as an auxiliary diagnostic tool for schizophrenia.