Evidence map›Paper›PMID 39833210›Full record

ReviewNPJ Parkinson's disease2025

Electrophysiological approaches to informing therapeutic interventions with deep brain stimulation.

Atefeh Asadi, Alex I Wiesman, Christoph Wiest, Sylvain Baillet, Huiling Tan, Muthuraman Muthuraman

Abstract readReview
In one paragraph

Review in NPJ Parkinson's disease, 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.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
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.

Atefeh AsadiNeural Engineering with Signal Analytics and Artificial Intelligence, Department of Neurology, University Clinic Würzburg, Würzburg, Germany. atefeh.asadi.neu@gmail.com.ORCID http://orcid.org/0000-0002-0951-3369
Alex I WiesmanDepartment of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.
Christoph WiestMRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-5728-3951
Sylvain BailletMontreal Neurological Institute, McGill University, Montreal, Canada.ORCID http://orcid.org/0000-0002-6762-5713
Huiling TanMRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-8038-3029
Muthuraman MuthuramanNeural Engineering with Signal Analytics and Artificial Intelligence, Department of Neurology, University Clinic Würzburg, Würzburg, Germany.ORCID http://orcid.org/0000-0001-6158-2663

Funding

BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG ImagingR01EB026299 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEAHY, RICHARD M · 2018 to 2025
$5.4M
Characterizing the interaction between neural attention and somato-motor systems in non-demented patients with Parkinson's diseaseF32NS119375 · NINDS · MCGILL UNIVERSITY · PI WIESMAN, ALEX I · 2020 to 2023
$205k
Medical Research Council MC_UU_00003/2NIBIB NIH HHS R01 EB026299NINDS NIH HHS F32 NS119375
6 · The paper itself

Abstract

Neuromodulation therapy comprises a range of non-destructive and adjustable methods for modulating neural activity using electrical stimulations, chemical agents, or mechanical interventions. Here, we discuss how electrophysiological brain recording and imaging at multiple scales, from cells to large-scale brain networks, contribute to defining the target location and stimulation parameters of neuromodulation, with an emphasis on deep brain stimulation (DBS).

Identifiers

PMID39833210
PMCPMC11747345

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.