Evidence map›Paper›PMID 37266026›Full record

ReviewCyborg and bionic systems (Washington, D.C.)2023

Cross-Frequency Coupling and Intelligent Neuromodulation.

Chien-Hung Yeh, Chuting Zhang, Wenbin Shi, Men-Tzung Lo, Gerd Tinkhauser, Ashwini Oswal

Open access · diamondAbstract readReview
In one paragraph

Review in Cyborg and bionic systems (Washington, D.C.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
12.8field-weighted citation impact, top 1% of its field
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

27 citing papers in PubMed, 73 citations in OpenAlex.

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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 at 4 institutions in 4 countries.

Chien-Hung YehSchool of Information and Electronics, Beijing Institute of Technology, Beijing, China.
Chuting ZhangSchool of Information and Electronics, Beijing Institute of Technology, Beijing, China.
Wenbin ShiSchool of Information and Electronics, Beijing Institute of Technology, Beijing, China.
Men-Tzung LoDepartment of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.
Gerd TinkhauserDepartment of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland.
Ashwini OswalMRC Brain Network Dynamics Unit, University of Oxford, Oxford, UK.
Beijing Institute of Technology · CNNational Central University · TWUniversity of Bern · CHUniversity of Oxford · GB

Funding

Medical Research Council MR/W024810/1
6 · The paper itself

Abstract

Cross-frequency coupling (CFC) reflects (nonlinear) interactions between signals of different frequencies. Evidence from both patient and healthy participant studies suggests that CFC plays an essential role in neuronal computation, interregional interaction, and disease pathophysiology. The present review discusses methodological advances and challenges in the computation of CFC with particular emphasis on potential solutions to spurious coupling, inferring intrinsic rhythms in a targeted frequency band, and causal interferences. We specifically focus on the literature exploring CFC in the context of cognition/memory tasks, sleep, and neurological disorders, such as Alzheimer's disease, epilepsy, and Parkinson's disease. Furthermore, we highlight the implication of CFC in the context and for the optimization of invasive and noninvasive neuromodulation and rehabilitation. Mainly, CFC could support advancing the understanding of the neurophysiology of cognition and motor control, serve as a biomarker for disease symptoms, and leverage the optimization of therapeutic interventions, e.g., closed-loop brain stimulation. Despite the evident advantages of CFC as an investigative and translational tool in neuroscience, further methodological improvements are required to facilitate practical and correct use in cyborg and bionic systems in the field.

Identifiers

PMID37266026
PMCPMC10231647
OpenAlexW4368366546

What OpenQuestion holds

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LicenceCC BY
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.