Evidence map›Paper›PMID 41812242›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2026

Ephaptic coupling and power fluctuations in depression.

Dimitrios A Pinotsis, Sankaraleengam Alagapan, Parisa Sarikhani, Tanya Nauvel, Christopher J Rozell, Helen S Mayberg

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Dimitrios A PinotsisCentre for Clinical, Social and Cognitive Neuroscience and Department of Psychology and Neuroscience, City St George's-University of London, London EC1V 0HB, United Kingdom.ORCID 0000-0002-6865-8103
Sankaraleengam AlagapanSchool of Electrical and Computer Engineering, Georgia Institute of Technology, 777 Atlantic Dr. NW, Atlanta, GA 30332-0250, United States.ORCID 0000-0002-2056-5450
Parisa SarikhaniSchool of Electrical and Computer Engineering, Georgia Institute of Technology, 777 Atlantic Dr. NW, Atlanta, GA 30332-0250, United States.
Tanya NauvelNash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029-5674, United States.
Christopher J RozellSchool of Electrical and Computer Engineering, Georgia Institute of Technology, 777 Atlantic Dr. NW, Atlanta, GA 30332-0250, United States.
Helen S MaybergNash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029-5674, United States.

Funding

Electrophysiological Biomarkers to Optimize DBS for DepressionUH3NS103550 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MAYBERG, HELEN S, RIVA-POSSE, PATRICIO · 2017 to 2023
$7.7M
Multimodal Biometrics to Optimize and Scale Decision Support for Depression DBSUH3NS141080 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Helen S Mayberg, Christopher John Rozell · 2025 to 2026
$4.0M
NCATS NIH HHSNIH HHS NCT01984710NINDS NIH HHS UH3NS103550NINDS NIH HHS UH3NS141080UK Medical Research Council MR/W011751/1
6 · The paper itself

Abstract

The initial therapeutic exposure to Deep Brain Stimulation (DBS) during implantation surgery has reproducible acute behavioral effects that carry over without further stimulation. We analyzed local field potential (LFP) data from the first month following brief therapeutic intraoperative DBS. Data were recorded from the subcallosal cingulate cortex. During this month, no further stimulation was applied. Recent studies have identified beta power fluctuations in LFP data as an acute putative depression biomarker of this exposure. However, a detailed description of neural dynamics underlying brain power fluctuations is missing. Here, we consider how these fluctuations are related to brain itinerancy, that is, neural activity changes between stable and unstable states. We also provide a proof of principle study that these dynamics can be described using 2 new dynamical systems measures: instability frequency and relative wandering time. These capture interactions between neural activity and the mesoscale oscillatory electric fields generated by it. The 2 measures seem to split low vs. high Hamilton Depression Rating Scale scores within a small patient cohort. They are motivated by the cytoelectric coupling hypothesis, which suggests that efficient information processing results from mesoscale electric fields and that the re-emergence of depression symptoms might result from altered electric fields. Whether the new measures reflect general mechanisms of rapid antidepressant action remains to be tested.

Indexed as

Deep Brain StimulationDepressionHumansLocal Field Potential MeasurementModels, NeurologicalDBSdepressionelectric fieldsLyapunov exponents

Identifiers

PMID41812242
PMCPMC13169196

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.