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

Attention-Deficit/Hyperactivity Disorder01:30

Attention-Deficit/Hyperactivity Disorder

46
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings....
46
Introduction to Psychological Disorders01:19

Introduction to Psychological Disorders

141
Abnormal behavior, often referred to as mental illness, results from changes in brain function that influence thought patterns, behaviors, and social interactions. Psychologists and psychiatrists typically assess abnormal behavior using three primary criteria: deviance, maladaptation, and personal distress, particularly when these traits persist over long periods.
Deviant Behavior
Deviance in behavior refers to actions or thought patterns that significantly diverge from societal norms or...
141
Disorders of the Nervous Tissue01:28

Disorders of the Nervous Tissue

1.1K
Nervous tissue is a vital component of the human body's communication system, enabling us to perceive and respond to stimuli. However, like all other tissues, it is vulnerable to disorders and diseases that can significantly impact our neurological functioning.
Homeostatic Imbalances:
Alzheimer's disease manifests as a gradual decline in memory and cognitive abilities, attributed to the buildup of amyloid plaques and neurofibrillary tangles in the brain.
Parkinson's disease arises...
1.1K
Biological Causes of Schizophrenia01:29

Biological Causes of Schizophrenia

46
Schizophrenia, a severe psychiatric disorder, arises from a complex interplay of biological factors, including genetic predisposition, structural brain abnormalities, neurotransmitter dysregulation, and developmental irregularities. These factors collectively contribute to the onset and progression of the disorder, which typically manifests in late adolescence or early adulthood.
Genetic Factors in Schizophrenia
The genetic basis of schizophrenia is strongly supported by family and twin...
46

You might also read

Related Articles

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

Sort by
Same author

A Battery of Quantitative Binocular Vision Tests for Adults: Testing Protocols.

Journal of visualized experiments : JoVE·2026
Same author

An explainable prognostic prediction panel for sepsis based on serum amino acid profiles.

Frontiers in immunology·2026
Same author

Machine learning prediction of soil adsorption coefficients for industry-related aromatic contaminants: Molecular drivers and global distribution insights.

Journal of hazardous materials·2026
Same author

Genome-wide identification of the <i>SKP1</i> gene family in goji (<i>Lycium barbarum</i>) and expression analysis of <i>LbSKP1-14</i> related to self-incompatibility recognition.

Physiology and molecular biology of plants : an international journal of functional plant biology·2026
Same author

Multidimensional responses to generative AI in higher education: an integrative framework linking institutional governance, teaching practice, and student psychological adaptation.

Frontiers in psychology·2026
Same author

How volunteer engagement experiences relate to the social responsibility of university students: the roles of emotional intelligence and relational embeddedness.

Frontiers in psychology·2026

Related Experiment Video

Updated: Jun 9, 2025

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

15.6K

Abnormal brain entropy dynamics in ADHD.

Xiaoyang Xin1, Shuangshuang Gu2, Cuiping Wang3

  • 1Preschool College, Luoyang Normal University, Luoyang 471000, China; Center for Psychological Sciences, Zhejiang University, Hangzhou 310027, China.

Journal of Affective Disorders
|October 23, 2024
PubMed
Summary
This summary is machine-generated.

Dynamical brain entropy (dBEN) analysis reveals distinct brain activity patterns in attention-deficit/hyperactivity disorder (ADHD). These patterns are linked to ADHD severity, offering new diagnostic insights.

Keywords:
Attention-deficit/hyperactivity disorderBrain entropyDynamicsResting-state functional magnetic resonance imaging

More Related Videos

Using Brain Activation nir-HEG/Q-EEG and Execution Measures CPTs in a ADHD Assessment Protocol
13:09

Using Brain Activation nir-HEG/Q-EEG and Execution Measures CPTs in a ADHD Assessment Protocol

Published on: April 1, 2018

10.3K
Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.2K

Related Experiment Videos

Last Updated: Jun 9, 2025

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

15.6K
Using Brain Activation nir-HEG/Q-EEG and Execution Measures CPTs in a ADHD Assessment Protocol
13:09

Using Brain Activation nir-HEG/Q-EEG and Execution Measures CPTs in a ADHD Assessment Protocol

Published on: April 1, 2018

10.3K
Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.2K

Area of Science:

  • Neuroscience
  • Brain Imaging
  • Complexity Science

Background:

  • Brain entropy (BEN) quantifies brain activity complexity, previously used for disorders like ADHD.
  • Existing research often assumes static BEN, overlooking the brain's dynamic nature.
  • The dynamics of BEN in ADHD remain largely unexplored.

Purpose of the Study:

  • To investigate dynamical brain entropy (dBEN) in ADHD.
  • To compare dBEN patterns between ADHD patients and healthy controls.
  • To assess the association between dBEN dynamics and ADHD symptom severity.

Main Methods:

  • Utilized a sliding window approach to calculate dBEN from resting-state fMRI data.
  • Analyzed data from 98 ADHD patients and 111 healthy controls.
  • Identified recurring BEN states and examined their fractional window (FW) and mean dwell time (MDT) in relation to ADHD status and symptom severity.

Main Results:

  • One low-entropy state in sensorimotor and visual networks showed increased FW and MDT in ADHD, correlating positively with symptom severity.
  • A high-entropy state in default mode and executive control networks exhibited decreased FW and MDT in ADHD, correlating negatively with symptom severity.
  • Significant differences in BEN dynamics were observed between ADHD patients and healthy controls.

Conclusions:

  • Findings reveal abnormal brain entropy dynamics in ADHD, suggesting altered brain network activity.
  • dBEN alterations are associated with ADHD symptom severity, offering potential biomarkers.
  • These insights contribute to understanding ADHD neuropathology and may aid clinical diagnosis.