Evidence map›Paper›PMID 42870972›Full record

ArticleAIMS neuroscience2026

A comprehensive investigation into EEG spectral analysis for ADHD brain dominance.

Vandana Joshi, Nirali Nanavati

Abstract read
In one paragraph

Article in AIMS neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Vandana JoshiComputer Engineering Department, Sarvajanik College of Engineering & Technology, Surat, Gujarat, India.
Nirali NanavatiComputer Engineering Department, Sarvajanik College of Engineering & Technology, Surat, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that significantly impacts the cognitive functions and behaviour of individuals. It is characterized by abnormal brain lateralization in key brain regions linked to attention and cognitive control. This study aimed to explore and analyze the brainwave patterns linked to left and right brain dominance in ADHD, ADHD subtype, and control group using electroencephalography (EEG) spectral features, which have not been investigated in prior studies. Our study examined variations in alpha, beta, theta, and other frequency bands between the brain's left and right hemispheres, employing methodologies like EEG recordings with topographical views and statistical tests. The Asymmetric Index findings suggest a differential power spectrum density (PSD) pattern in ADHD subjects, with a higher average PSD in the right brain (RB) during working states and in the left brain (LB) during resting states. In addition, our corroborative study also uncovered that in ADHD subjects, theta and alpha waves are more dominant in the left hemispheric region, irrespective of the task state, and theta waves are notably prominent in the frontal region. The results of our novel study, supported by statistical analyses and topographical views, not only enhance our understanding of ADHD but also open avenues for more targeted and effective approaches in diagnosing and understanding the neurobiological underpinnings of ADHD and its subtypes.

Indexed as

attention deficit hyperactivity disorder (ADHD)brain dominanceelectroencephalography (EEG), spectral analysis

Identifiers

PMID42870972
PMCPMC13658093

What OpenQuestion holds

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Registered trials

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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.