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 Experiment Videos

Decrease of non-linear structure in the EEG of Alzheimer patients compared to healthy controls.

B Jelles1, J H van Birgelen, J P Slaets

  • 1Department of Neurology and Clinical Neurophysiology, Leyenburg Hospital, The Hague, The Netherlands. b.jelles@azvu.nl

Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
|July 28, 1999
PubMed
Summary
This summary is machine-generated.

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

Reliability and state-dependency of EEG connectivity, complexity and network characteristics.

Scientific reports·2025
Same author

Comparing individual and group-level simulated neurophysiological brain connectivity using the Jansen and Rit neural mass model.

Network neuroscience (Cambridge, Mass.)·2023
Same author

The influence of very preterm birth on adolescent EEG connectivity, network organization and long-term outcome.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2023
Same author

Network Hyperexcitability in Early Alzheimer's Disease: Is Functional Connectivity a Potential Biomarker?

Brain topography·2023
Same author

Macroscale EEG characteristics in antipsychotic-naïve patients with first-episode psychosis and healthy controls.

Schizophrenia (Heidelberg, Germany)·2023
Same author

Minimum spanning tree analysis of brain networks: A systematic review of network size effects, sensitivity for neuropsychiatric pathology, and disorder specificity.

Network neuroscience (Cambridge, Mass.)·2022
Same journal

Modulating corticospinal excitability with transcranial ultrasound stimulation: meta-analytic evidence of online and offline effects.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026
Same journal

Fast oscillations as useful biomarkers of the degree of epileptogenicity in each generalized epilepsy syndrome.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026
Same journal

Neuropsychological, biological, and electrophysiological outcomes of gamma-tACS in MCI-AD: A case series.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026
Same journal

Enhanced broad-band intermuscular coherence in myoclonus: a targeted characterization study.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026
Same journal

Perturbing the vestibular cortex with transcranial oscillatory currents uncovers early postural alterations in Parkinson's disease.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026
Same journal

F-waves in primary lateral sclerosis: a window into spinal motoneuron hyperexcitability.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026
See all related articles

Alzheimer's disease patients exhibit reduced EEG complexity, indicating altered neural network function. Non-linear EEG analysis reveals this difference, offering insights into brain dysfunction.

Area of Science:

  • Neuroscience
  • Biophysics

Background:

  • Linear analysis of electroencephalography (EEG) signals has limitations in capturing neural network function.
  • Non-linear EEG analysis, specifically using correlation dimension (D2), can quantify cortical dynamics complexity.
  • Comparing D2 from original EEG data with phase-randomized surrogate data identifies non-linear dynamics.

Purpose of the Study:

  • To investigate non-linear structures in the EEG of Alzheimer's disease (AD) patients and controls.
  • To assess if D2 can differentiate between AD patients and healthy individuals.
  • To explore the role of non-linear dynamics in EEG complexity in AD.

Main Methods:

  • Prospective study comparing 24 probable AD patients with 22 controls.
  • Calculation of D2 from original and surrogate EEG data across 16 electrodes.

Related Experiment Videos

  • EEG data collected under three conditions: eyes open, eyes closed, and mental arithmetic.

    • Main Results:

    • Alzheimer's patients showed significantly lower D2 compared to controls (P=0.023).
    • Non-linear dynamics were significant in both groups, but the difference between original and surrogate data was smaller in AD patients.
    • D2 increased with mental activation, with no significant difference in this increase between groups.

    Conclusions:

    • EEG dimensional complexity is decreased in Alzheimer's disease patients.
    • This reduction is partly due to altered non-linear EEG dynamics.
    • Non-linear EEG analysis is a promising tool for understanding brain dysfunction in AD.