Evidence map›Paper›PMID 34790273›Full record

ArticleCognitive neurodynamics2021

Closing the loop of DBS using the beta oscillations in cortex.

Chen Liu, Ge Zhao, Zihan Meng, Changsong Zhou, Xiaodong Zhu, Wei Zhang, Jiang Wang, Huiyan Li, Hao Wu, Chris Fietkiewicz and 1 more

Abstract read
In one paragraph

Article in Cognitive neurodynamics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Adaptive Stimulations in a Biophysical Network Model of Parkinson's Disease.International journal of molecular sciences · 2023
    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

11 authors.

Chen LiuSchool of Electrical and Information Engineering, Tianjin University, Tianjin, China.
Ge ZhaoSchool of Electrical and Information Engineering, Tianjin University, Tianjin, China.
Zihan MengSchool of Electrical and Information Engineering, Tianjin University, Tianjin, China.
Changsong ZhouDepartment of Physics, Centre for Nonlinear Studies, Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China.
Xiaodong ZhuDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, China.
Wei ZhangDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, China.
Jiang WangSchool of Electrical and Information Engineering, Tianjin University, Tianjin, China.
Huiyan LiSchool of Automation and Electrical Engineering, Tianjin University of Technology and Education, Tianjin, China.
Hao WuSchool of Civil Engineering, Tianjin University, Tianjin, China.
Chris FietkiewiczDepartment of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH USA.
Kenneth A LoparoDepartment of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cortical information has great importance to reflect the deep brain stimulation (DBS) effects for Parkinson's disease patients. Using cortical activities to feedback is an available closed-loop idea for DBS. Previous studies have demonstrated the pathological beta (12-35 Hz) cortical oscillations can be suppressed by appropriate DBS settings. Thus, here we propose to close the loop of DBS based on the beta oscillations in cortex. By modify the cortico-basal ganglia-thalamic neural loop model, more biologically realistic underlying the Parkinsonian phenomenon is approached. Stimulation results show the proposed closed-loop DBS strategy using cortical beta oscillation as feedback information has more profound roles in alleviating the pathological neural abnormality than the traditional open-loop DBS. Additionally, we compare the stimulation effects with subthalamic nucleus feedback strategy. It is shown that using cortical beta information as the feedback signals can further enlarge the control parameter space based on proportional-integral control structure with a lower energy expenditure. This work may pave the way to optimizing the DBS effects in a closed-loop arrangement.

Indexed as

Beta oscillationCortical feedbackCortico-basal ganglia-thalamic neural networkIzhikevich modelParkinsonian state

Identifiers

PMID34790273
PMCPMC8572178

What Socratic holds

Textmetadata
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 Socratic graph.