Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Synergistic engineering of intralayer conjugation and interlayer stacking within pyrene-based covalent organic frameworks for efficient hydrogen peroxide production and amidation oxidation.

Journal of colloid and interface science·2026

Same author

Efficacy and safety of nintedanib for older adults with idiopathic pulmonary fibrosis or progressive fibrosing interstitial lung disease: A multicenter retrospective study in Japan.

Respiratory investigation·2026

Same author

Baseline neutrophil-to-lymphocyte ratio predicts survival time after the initiation of nintedanib in patients with interstitial lung disease.

BMC pulmonary medicine·2026

Same author

Salinity-driven adaptations and evolution of DNA viruses in estuarine-coastal ecosystems.

mSystems·2026

Same author

Evaluating reasoning models for therapy recommendations in gastrointestinal stromal tumors: expert and LLM-based evaluations of OpenAI o1 and DeepSeek-R1.

Journal of cancer research and clinical oncology·2026

Same author

SNHG15 is involved in the progression of atherosclerosis through targeted regulation of miR-370-3p and bioinformatics analysis.

Archives of medical science : AMS·2026

Search research articles

Related Experiment Video

Updated: Sep 19, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

Protocol for assisting frequency band definition and decoding neural dynamics using hierarchical clustering and

Chengpeng Li¹, Isao Hasegawa², Hisashi Tanigawa¹

¹Interdisciplinary Institute of Neuroscience and Technology, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China; College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China; MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China; National Key Laboratory of Brain and Computer Intelligence, Zhejiang University, Hangzhou, China.

|June 4, 2025

Summary

This summary is machine-generated.

This study introduces a new protocol for defining frequency bands in neural data analysis, improving accuracy by using data-driven clustering of macaque electrocorticography (ECoG) signals.

Keywords:

Biotechnology and bioengineering Cognitive Neuroscience Neuroscience

More Related Videos

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans

Published on: May 19, 2016

Related Experiment Videos

Last Updated: Sep 19, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans

Published on: May 19, 2016

Area of Science:

Neuroscience
Computational Neuroscience
Signal Processing

Background:

Traditional fixed frequency band divisions in neural data analysis can limit accuracy.
Electrocorticography (ECoG) provides high-resolution neural signals but requires precise analysis methods.

Purpose of the Study:

To present a novel protocol for data-driven frequency band definition in multichannel neural data.
To enhance the accuracy of neural data analysis by moving beyond arbitrary frequency divisions.

Main Methods:

Preprocessing of multichannel macaque ECoG data.
Performing time-frequency analysis to obtain signal power profiles.
Applying hierarchical clustering to group similar frequency power profiles.
Defining frequency bands based on identified data clusters.
Utilizing multivariate pattern analysis (MVPA) for functional validation through time-series decoding.

Main Results:

Identification of data-informed frequency groupings through hierarchical clustering.
Successful definition of new frequency bands guided by the clustering results.
Demonstration of functional relevance of the derived bands using MVPA and time-series decoding.

Conclusions:

The proposed protocol offers a more accurate and objective method for defining frequency bands in neural data.
This data-driven approach can improve the insights gained from analyzing neural signals like ECoG.
The protocol facilitates enhanced functional validation of neural signal components.