Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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

Considerations for Regional Anaesthesia in the Prehospital Environment.

Air medical journal·2025
Same author

Gross Motor Development in Children With Autism: Longitudinal Trajectories From the Growing Up in New Zealand Study.

Autism research : official journal of the International Society for Autism Research·2025
Same author

Anesthetic Management and Considerations During Surgical Dissection of a Schwannoma Causing Severe Cervical Spinal Canal Stenosis and Vertebral Artery Compression.

Cureus·2024
Same author

Mind the gap - unequal from the start: evidence from the early years of the <i>Growing Up in New Zealand</i> longitudinal study.

Journal of the Royal Society of New Zealand·2024
Same author

Increased sensorimotor activity during categorisation of emotionally ambiguous faces.

The European journal of neuroscience·2024
Same author

From infancy to eight: How early maternal mental health, emotion reminiscing, and language shape children's mental health.

Development and psychopathology·2024

Related Experiment Video

Updated: Jul 1, 2025

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

10.2K

EEG Complexity Analysis of Brain States, Tasks and ASD Risk.

Stephen S Wolfson1, Ian Kirk2, Karen Waldie2

  • 1The University of Auckland School of Psychology, Auckland, Auckland, New Zealand. steve@neurocogsystem.com.

Advances in Neurobiology
|March 12, 2024
PubMed
Summary
This summary is machine-generated.

Researchers explored electroencephalogram (EEG) complexity in adults to find autism biomarkers. While no clear ASD distinction emerged, brain state and task differences were significant, suggesting potential for earlier autism diagnosis.

Keywords:
AutismComplexityEEGFractalPsychology

More Related Videos

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.3K
Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD
10:02

Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD

Published on: March 12, 2020

15.7K

Related Experiment Videos

Last Updated: Jul 1, 2025

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

10.2K
Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.3K
Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD
10:02

Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD

Published on: March 12, 2020

15.7K

Area of Science:

  • Neuroscience
  • Biomarkers
  • Computational Psychiatry

Background:

  • Autism spectrum disorder (ASD) is a prevalent neurodevelopmental condition.
  • Electroencephalography (EEG) presents diagnostic challenges for ASD.
  • An established EEG biomarker for ASD remains elusive despite extensive research.

Purpose of the Study:

  • To investigate if reduced complex dynamical system behavior in the central nervous system is detectable via EEG in adults at higher ASD risk.
  • To explore potential EEG biomarkers for earlier ASD diagnosis.

Main Methods:

  • Compared complexity measures (e.g., correlation dimension, multiscale entropy) in 20 EEG channels from 39 adults across varying ASD risk levels.
  • Analyzed EEG data during resting, cognitive, and social skill tasks.
  • Utilized multiple computational methods to assess brain signal complexity.

Main Results:

  • Observed heterogeneous complexity distributions with hierarchical sequences, suggesting potential cognitive processing variations.
  • Found no clear distinction in complexity based solely on ASD risk.
  • Identified statistically significant differences between complexity measures across different brain states and tasks.

Conclusions:

  • The study indicates potential electrophysiological and analytical approaches for earlier ASD diagnosis.
  • Further replication with larger sample sizes is necessary.
  • Complexity measures show promise in differentiating brain states and task-related activity.