Evidence map›Paper›PMID 42078404›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Common Electrophysiology Biomarkers Collected at Home Robustly Track Depression Recovery With Deep Brain Stimulation.

Elif Ceren Fitoz, Sankaraleengam Alagapan, Jungho Cha, Ki Sueng Choi, Martijn Figee, Brian Kopell, Mosadoluwa Obatusin, Stephen Heisig, Tanya Nauvel, Aida Razavilar and 15 more

Registry-linked trialAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04106466 (Deep Brain Stimulation), which is not on this 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.

NCT04106466 naactive not recruitingnot on this map

Deep Brain Stimulation (DBS) for Treatment Resistant Depression: Exploration of Local Field Potentials (LFPs) With the Medtronic Summit RC+S "Brain Radio" System

TypeinterventionalSponsorHelen Mayberg, MDRan2020 to 2030Enrolled10ConditionsMajor Depressive Disorder, Treatment Resistant DepressionArmsMedtronic Summit RC+S DBS system
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

25 authors.

Elif Ceren FitozGeorgia Institute of Technology.ORCID 0000-0002-0301-5406
Sankaraleengam AlagapanGeorgia Institute of Technology.ORCID 0000-0002-2056-5450
Jungho ChaGeorgia Institute of Technology.ORCID 0000-0003-1189-2051
Ki Sueng ChoiIcahn School of Medicine at Mount Sinai.ORCID 0000-0002-6446-0677
Martijn FigeeIcahn School of Medicine at Mount Sinai.ORCID 0000-0003-3679-284X
Brian KopellIcahn School of Medicine at Mount Sinai.
Mosadoluwa ObatusinIcahn School of Medicine at Mount Sinai.
Stephen HeisigIcahn School of Medicine at Mount Sinai.ORCID 0000-0001-8096-1730
Tanya NauvelIcahn School of Medicine at Mount Sinai.ORCID 0009-0001-7185-2337
Aida RazavilarIcahn School of Medicine at Mount Sinai.
Parisa SarikhaniGeorgia Institute of Technology.ORCID 0000-0001-9956-0582
Isha TrivediIcahn School of Medicine at Mount Sinai.
Jamie GowatskyIcahn School of Medicine at Mount Sinai.
Jessa AlexanderIcahn School of Medicine at Mount Sinai.
Romain GuignonIcahn School of Medicine at Mount Sinai.
Maryam KhalidIcahn School of Medicine at Mount Sinai.
Gutemberg Bobby ForestalIcahn School of Medicine at Mount Sinai.
Ha Neul SongIcahn School of Medicine at Mount Sinai.
Tim DenisonUniversity of Oxford.
Shannon O'NeillIcahn School of Medicine at Mount Sinai.
Shreesh KarjagiGeorgia Institute of Technology.ORCID 0009-0000-5793-8022
Allison C WatersIcahn School of Medicine at Mount Sinai.
Patricio Riva-PosseEmory University School of Medicine.ORCID 0000-0002-5887-0557
Helen S MaybergIcahn School of Medicine at Mount Sinai.ORCID 0000-0002-1672-2716
Christopher J RozellGeorgia Institute of Technology.ORCID 0000-0001-5173-1661

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Institutional Career Development CoreKL2TR002381 · NCATS · EMORY UNIVERSITY · PI HENRY M BLUMBERG, Anandi Nayan Sheth · 2017 to 2026
$14.1M
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 HHS KL2 TR002381NCATS NIH HHS UL1 TR002378NINDS NIH HHS UH3 NS103550NINDS NIH HHS UH3 NS141080
6 · The paper itself

Abstract

Subcallosal cingulate cortex (SCC) deep brain stimulation (DBS) can provide relief for individuals with Treatment Resistant Depression (TRD), but ongoing clinical management remains challenging due to nonspecific symptom fluctuations that can obscure core depression recovery on standard rating scales. Objective, stable biomarkers that selectively track the therapeutic effects of SCC DBS are therefore essential for developing principled decision support systems to guide stimulation adjustments. Recent bidirectional DBS systems enable chronic recording of local field potentials (LFPs) and prior work using the Activa PC+S device identified an electrophysiological signature of stable clinical recovery. However, translation to practical clinical deployment requires demonstrating that this biomarker is robustly generalizable, specific to the impact of the DBS therapy, and deployable in real-world recording contexts. To address this need, we developed an at-home SCC LFP data collection platform (built on the Medtronic Summit RC+S system) enabling at home data collection for a new cohort of ten SCC DBS participants with TRD (ClinicalTrials.gov identifier NCT04106466). Using longitudinal LFP recordings collected from this system, we report findings demonstrating that the previously reported biomarker of stable recovery generalizes across subject cohorts and devices, is robust to common potential confounds (including time of day and stimulation status), and shows symptom specificity, sensitivity and stability necessary to support clinical decision making. Across both cohorts, biomarker changes show relationships to pre-DBS white matter structure and network function measured using diffusion MRI and resting-state functional MRI (rsFMRI). These findings replicating and extending previous findings support the biomarker's utility as a foundation for scalable, electrophysiology-informed decision support in SCC DBS.

Identifiers

PMID42078404
PMCPMC13131700

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Registered trials

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.