Evidence map›Paper›PMID 40661997›Full record

ArticleCureus2025

Heterogeneous Changes in Mismatch Negativity Peak Latency Following Electroconvulsive Therapy: A Case Series of Three Cases.

Yuhei Mori, Kazuko Kanno, Hiroshi Hoshino, Yuichi Takahashi, Yuhei Suzuki, Itaru Miura

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In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

6 authors.

Yuhei MoriDepartment of Neuropsychiatry, Fukushima Medical University, Fukushima, JPN.
Kazuko KannoDepartment of Neuropsychiatry, Fukushima Medical University, Fukushima, JPN.
Hiroshi HoshinoDepartment of Neuropsychiatry, Fukushima Medical University, Fukushima, JPN.
Yuichi TakahashiDepartment of Neuropsychiatry, Fukushima Medical University, Fukushima, JPN.
Yuhei SuzukiDepartment of Neuropsychiatry, Fukushima Medical University, Fukushima, JPN.
Itaru MiuraDepartment of Neuropsychiatry, Fukushima Medical University, Fukushima, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mismatch negativity (MMN), a pre-attentive auditory event-related potential, is a sensitive neurophysiological marker of cortical dysfunction. Electroconvulsive therapy (ECT), which is effective for various psychiatric disorders, may transiently affect cognitive and neurophysiological processes.This case series examined MMN peak latency and cognitive outcomes following ECT in three patients with distinct psychiatric diagnoses: atypical psychosis, treatment-resistant schizophrenia, and major depressive disorder (MDD). In patients with atypical psychosis, MMN peak latency was markedly prolonged immediately after two ECT sessions and returned to baseline by 40 days, in parallel with transient cognitive decline and mild delirium. Conversely, the patient with schizophrenia demonstrated no MMN latency changes and stable cognitive scores, suggesting diminished cortical reactivity, possibly due to chronic illness or medication effects. The patient with MDD, assessed after the final two sessions of a 10-session course, exhibited sustained MMN latency prolongation with preserved cognitive function, indicating potential cumulative subclinical neural effects. These findings highlight the diagnostic and temporal heterogeneity of MMN responses to ECT, with MMN alterations not always correlating with cognitive decline. MMN may serve as a sensitive but nonspecific biomarker of neural instability during ECT, offering clinical value for the early detection of cortical vulnerability. Our results suggest that MMN monitoring, especially when interpreted alongside the diagnosis and treatment stages, may complement standard cognitive assessments and inform individualized ECT management.

Indexed as

cognitive functionelectroconvulsive therapy (ect)major depression disordermismatch negativityschizophrenia

Identifiers

PMID40661997
PMCPMC12259208

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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.