Evidence map›Paper›PMID 41620489›Full record

ArticleNPJ Parkinson's disease2026

Decoding the impact of visual states on adaptive deep brain stimulation feedback signals in movement disorders.

Guan-Yu Zhu, Timon Merk, Konstantin Butenko, Zi-Xiao Yin, Ying-Chuan Chen, Ning-Fei Li, Thomas Binns, Ruo-Yu Ma, Ting-Ting Du, Yu-Ye Liu and 7 more

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In one paragraph

Article in NPJ Parkinson's disease, 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
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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

17 authors.

Guan-Yu Zhu *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Timon Merk *Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin, Berlin, Germany.
Konstantin ButenkoMovement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin, Berlin, Germany.
Zi-Xiao YinDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ying-Chuan ChenDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ning-Fei LiMovement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin, Berlin, Germany.
Thomas BinnsMovement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin, Berlin, Germany.
Ruo-Yu MaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ting-Ting DuDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Yu-Ye LiuDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Hu-Tao XieDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Lin ShiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
An-Chao YangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Fan-Gang MengDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Andrea A KühnMovement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin, Berlin, Germany.
Jian-Guo ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. jg.zhang@ccmu.edu.cn.
Wolf-Julian NeumannMovement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin, Berlin, Germany.

Funding

Bundesministerium für Bildung und Forschung FKZ01GQ1802Deutsche Forschungsgemeinschaft 424778381ERC, ReinforceBG 101077060National Natural Science Foundation of China 82201634Yong Elite Scientists Sponsorship Program by BAST BYESS2023393
6 · The paper itself

Abstract

We investigated the impact of visual states on basal ganglia oscillatory biomarkers, comparing local field potentials (LFPs) dynamics between Parkinson's disease (PD) and dystonia and developing a decoding model for state identification. Simultaneous LFPs recordings from the subthalamic nucleus (STN) or globus pallidus internus (GPi), and cortex were obtained from 18 PD and 18 dystonia patients. In the eyes-closed state, theta and alpha power increased in the basal ganglia, with stronger coherence to the central cortex, more pronounced in the STN than in the GPi. Machine learning models identified the eyes-closed state with 88% accuracy for STN and 77% for GPi. The sensorimotor STN and GPi were most informative. The present findings provide proof-of-concept that basal ganglia LFPs can reliably predict a physiological state, highlighting the potential influence of physiological oscillatory activity on pathological bands and its relevance for adaptive stimulation paradigms.

Identifiers

PMID41620489
PMCPMC12963478

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.