Evidence map›Paper›PMID 40603310›Full record

ArticleTranslational psychiatry2025

Beyond homogeneity: charting the landscape of heterogeneity in neurodevelopmental and psychiatric electroencephalography.

Aida Ebadi, Sahar Allouch, Ahmad Mheich, Judie Tabbal, Aya Kabbara, Gabriel Robert, Aline Lefebvre, Anton Iftimovici, Borja Rodríguez-Herreros, Nadia Chabane and 1 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

11 authors.

Aida EbadiMINDIG, F-35000, Rennes, France.
Sahar AllouchMINDIG, F-35000, Rennes, France.
Ahmad MheichMINDIG, F-35000, Rennes, France.
Judie TabbalMINDIG, F-35000, Rennes, France.
Aya KabbaraMINDIG, F-35000, Rennes, France.
Gabriel RobertPôle de Psychiatrie Hospitalo-Universitaire de Psychiatrie Adulte, Centre Hospitalier Guillaume Régnier, Rennes, France.ORCID http://orcid.org/0000-0003-2490-0700
Aline LefebvreParis Saclay University, Neurospin, CEA Saclay, Service Avis et Expertise TND, Fondation Vallée, Gif-sur-Yvette, France.
Anton IftimoviciUniversité Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Team "Pathophysiology of psychiatric disorders", GDR 3557-Institut de Psychiatrie, Paris, France.ORCID http://orcid.org/0000-0003-4927-2798
Borja Rodríguez-HerrerosService des Troubles du Spectre de l'Autisme et apparentés, Département de psychiatrie, Lausanne University Hospital (CHUV), Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-9392-7996
Nadia ChabaneService des Troubles du Spectre de l'Autisme et apparentés, Département de psychiatrie, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Mahmoud HassanMINDIG, F-35000, Rennes, France. mahmoud.hassan.work@gmail.com.ORCID http://orcid.org/0000-0003-0307-5086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electroencephalography (EEG) has been thoroughly studied for decades in neurodevelopmental and psychiatric research. Yet its integration into clinical practice as a diagnostic/prognostic tool remains unachieved. We hypothesize that a key reason is the underlying patient's heterogeneity, overlooked in EEG research relying on a case-control approach. We combine high-density EEG with normative modeling to quantify this heterogeneity using two well-established and extensively investigated EEG characteristics -spectral power and functional connectivity- across a cohort of 1674 patients with attention-deficit/hyperactivity disorder, autism spectrum disorder, learning disorder, or anxiety, and 560 matched controls. Normative models showed that deviations from population norms among patients were highly heterogeneous and frequency-dependent. Deviation spatial overlap across patients did not exceed 40% and 24% for spectral and connectivity, respectively. Considering individual deviations in patients has significantly enhanced comparative analysis, and the identification of patient-specific markers has demonstrated a correlation with clinical assessments, representing a crucial step towards attaining precision psychiatry through EEG.

Indexed as

Anxiety DisordersAttention Deficit Disorder with HyperactivityAutism Spectrum DisorderBrainElectroencephalographyLearning DisabilitiesNeurodevelopmental DisordersAdolescentAdultCase-Control StudiesChildFemaleHumansMaleYoung Adult

Identifiers

PMID40603310
PMCPMC12222823

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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.