Evidence map›Paper›PMID 42628526›Full record

ArticleCell reports. Medicine2026

Cortical-to-pallidal beta cascade underlies network pathophysiology in Parkinson's disease.

Jeong Woo Choi, Amirreza Alijanpourotaghsara, Koorosh Mirpour, Sahil Chilukuri, Nader Pouratian

Abstract read
In one paragraph

Article in Cell reports. Medicine, 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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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

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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

5 authors.

Jeong Woo ChoiDepartment of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Amirreza AlijanpourotaghsaraDepartment of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Koorosh MirpourDepartment of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Sahil ChilukuriDepartment of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Nader PouratianDepartment of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. Electronic address: nader.pouratian@utsouthwestern.edu.

Funding

The Pathophysiology of Network Synchrony in Parkinson's DiseaseR01NS097782 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI NADER POURATIAN · 2016 to 2026
$5.2M
NINDS NIH HHS R01 NS097782
6 · The paper itself

Abstract

Parkinson's disease (PD) motor symptoms are linked to excessive beta band (13-35 Hz) oscillations and basal ganglia-cortical (BGC) synchrony, yet their dynamic inter-relation remains unclear. Based on computational modeling, we hypothesize that transient high-beta (20-35 Hz) BGC coupling induces subcortical low-beta (13-20 Hz) amplification. We recorded intraoperative neural signals from the globus pallidus internus and externus (GPi and GPe, respectively) and motor cortex (M1) in 23 PD patients during deep brain stimulation implantation. High-beta bursts in M1 and GPe were classified as either temporally synchronized or isolated. Synchronous M1-GPe high-beta bursts led by GPe were followed by GPi low-beta amplification, which were not evident with either isolated M1 high-beta bursts or M1-led synchronous bursts. Dopaminergic medication attenuated this GPi low-beta amplification and improved symptoms. These findings suggest that excessive M1 high-beta bursts following GPe high-beta activity trigger a cascade establishing low-beta propagation to GPi, which may contribute to PD motor dysfunction.

Indexed as

Beta RhythmGlobus PallidusMotor CortexParkinson DiseaseAgedDeep Brain StimulationFemaleHumansMaleMiddle Agedbeta oscillationsdopaminergic therapynetwork pathophysiologynetwork synchronyParkinson’s disease

Identifiers

PMID42628526
PMCPMC13589497

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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.