Evidence map›Paper›PMID 42088009›Full record

ArticleFrontiers in psychiatry2026

Mitochondrial dysfunction in EEG: high-beta specific metabolic/oxidative coupling with lactate in mania-predominant polarity.

Sermin Kesebir, Rüştü Murat Demirer

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Article in Frontiers in psychiatry, 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Sermin KesebirDepartment of Psychiatry, School of Medicine, Üsküdar University, Istanbul, Türkiye.
Rüştü Murat DemirerNatural and Engineering Sciences, Üsküdar University, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psychiatric diseases are progressively recognized as disruptions in brain dynamics that can be measured using electrophysiological and metabolic indicators. Conventional EEG investigations utilizing power spectra or standard entropy metrics (sample entropy, multiscale entropy, permutation entropy) have shown diagnostic significance but are constrained in their ability to capture higher-order relationships. This work combines psychiatric ideas with sophisticated mathematical methods to discover new indicators of modified brain complexity. From an engineering standpoint, we provide entropy-doubling, an information-theoretic approach utilized for EEG signals for the first time. In contrast to conventional entropy measures, entropy-doubling assesses the evolution of informational complexity under distributional convolution, hence uncovering redundancy and structural scaling characteristics that are not discernible through existing metrics. We associate these metrics with biochemical markers, such as lactate, to investigate potential metabolic coupling of brain processes in bipolar disorder. It has the characteristics of a biphasic energy dysregulation. The aim of this study is to investigate the correlation between electrophysiological brain dynamics, as quantified by entropy doubling and Ruzsa distance measures derived from EEG signals, and lactate levels, in patients with bipolar disorder with mania-predominant polarity. According to our results, high-beta amplitude entropy provides the strongest and most consistent correlations with lactate. This combined framework of psychiatry and biomedical engineering provides a novel, interpretable pathway toward quantitative biomarkers in psychiatric research.

Indexed as

bipolar disorderEEGlactatemania predominant polaritymetabolic syndromemitochondrial dysfunction

Identifiers

PMID42088009
PMCPMC13137303

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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.