ReviewNeuropsychiatric disease and treatment2023
Systematic Review on EEG Analysis to Diagnose and Treat Autism by Evaluating Functional Connectivity and Spectral Power.
Review in Neuropsychiatric disease and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed, 38 citations in OpenAlex.
- Early Trajectories of Resting-State EEG power in autistic children: a longitudinal study across language profiles.Translational psychiatry · 2026Article
- Alterations in Multidimensional Functional Connectivity Architecture in Preschool Children with Autism Spectrum Disorder.Brain sciences · 2026Article
- Dynamic evolution of intracortical and corticomuscular connectivity during reach-and-grasp movement planning and execution.Scientific reports · 2025Article
- A comprehensive EEG dataset and performance assessment for Autism Spectrum Disorder.Scientific reports · 2025Article
- Leveraging AI-Driven Neuroimaging Biomarkers for Early Detection and Social Function Prediction in Autism Spectrum Disorders: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Exploring EEG resting state differences in autism: sparse findings from a large cohort.Molecular autism · 2025Article
- EEG during dynamic facial emotion processing reveals neural activity patterns associated with autistic traits in children.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Evaluating the effect of repetitive transcranial magnetic stimulation on sleep difficulties in children with autism spectrum disorder: a randomized controlled trial.Sleep advances : a journal of the Sleep Research Society · 2025Article
- Exploratory quantitative EEG characteristics in children with autism spectrum disorder.Frontiers in psychiatry · 2025Article
- EEG During Dynamic Facial Emotion Processing Reveals Neural Activity Patterns Associated with Autistic Traits in Children.bioRxiv : the preprint server for biology · 2024Article
- Changes in EEG Activity and Cognition Related to Physical Activity in Older Adults: A Systematic Review.Life (Basel, Switzerland) · 2024Review
- Virtual environments as a novel and promising approach in (neuro)diagnosis and (neuro)therapy: a perspective on the example of autism spectrum disorder.Frontiers in neuroscience · 2024Article
- Interest paradigm for early identification of autism spectrum disorder: an analysis from electroencephalography combined with eye tracking.Frontiers in neuroscience · 2024Article
- Enhancing autism spectrum disorder classification in children through the integration of traditional statistics and classical machine learning techniques in EEG analysis.Scientific reports · 2023Article
- The Relationship between Retained Primitive Reflexes and Hemispheric Connectivity in Autism Spectrum Disorders.Brain sciences · 2023Article
- Is badfiction processed differently by the human brain? An electrophysical study on reading experience.Frontiers in human neuroscience · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An abnormality in neural connectivity is linked to autism spectrum disorder (ASD). There is no way to test the concept of neural connectivity empirically. According to recent network theory and time series analysis findings, electroencephalography (EEG) can assess neural network architecture, a sign of activity in the brain. This systematic review aims to evaluate functional connectivity and spectral power using EEG signals. EEG records the brain activity of an individual by displaying wavy lines that depict brain cells' communication through electrical impulses. EEG can diagnose various brain disorders, including epilepsy and related seizure illness, brain dysfunction, tumors, and damage. We found 21 studies using two of the most common EEG analysis methods: functional connectivity and spectral power. ASD and non-ASD individuals were found to differ significantly in all selected papers. Due to high heterogeneity in the outcomes, generalizations cannot be drawn, and no single method is currently beneficial as a diagnostic tool. For ASD subtype delineation, the lack of research prevented the evaluation of these techniques as diagnostic tools. These findings confirm the presence of abnormalities in the EEG in ASD, but they are insufficient to diagnose. Our study suggests that EEG is useful in diagnosing ASD by evaluating entropy in the brain. Researchers may be able to develop new diagnostic methods for ASD which focuses on particular stimuli and brainwaves if they conduct more extensive studies with higher numbers and more rigorous study designs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.