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一种用于因果评估感知和认知过程中振荡脑节律功能的 TMS/EEG 协议。

A TMS/EEG protocol for the causal assessment of the functions of the oscillatory brain rhythms in perceptual and cognitive processes.

机构信息

Centro studi e ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum - Università di Bologna, Campus di Cesena, via Rasi e Spinelli, 176, 47521 Cesena, Italy.

UO Medicina riabilitativa e neuroriabilitazione, Azienda Unità Sanitaria Locale, 40139 Bologna, Italy.

出版信息

STAR Protoc. 2022 Jun 4;3(2):101435. doi: 10.1016/j.xpro.2022.101435. eCollection 2022 Jun 17.


DOI:10.1016/j.xpro.2022.101435
PMID:35677610
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9168164/
Abstract

The combined use of transcranial magnetic stimulation (TMS), electroencephalogram (EEG), and behavioral performance allows investigation of causal relationships between neural markers and their functional relevance across a number of perceptual and cognitive processes. Here, we present a protocol for combining and applying these techniques on human subjects. We describe correlation approach and causal approach to disentangle the role of different oscillatory parameters, namely alpha frequency and amplitude that control for accuracy and metacognitive abilities, respectively, in a visual detection task. For complete details on the use and execution of this protocol, please refer to Di Gregorio et al. (2022).

摘要

经颅磁刺激(TMS)、脑电图(EEG)和行为表现的联合使用,可以研究神经标记物与其在多个感知和认知过程中的功能相关性之间的因果关系。在这里,我们提出了一个在人类受试者中结合和应用这些技术的方案。我们描述了相关方法和因果方法,以分别分离不同振荡参数(即分别控制准确性和元认知能力的阿尔法频率和振幅)在视觉检测任务中的作用。有关此方案的使用和执行的完整详细信息,请参阅 Di Gregorio 等人(2022 年)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9168164/e0a4b2d6d4b3/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9168164/18f48df31a4e/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9168164/277a4edc8c65/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9168164/6d88deb75c5f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9168164/65babd6ef5a9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9168164/ab8d83997d12/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9168164/384176b951ee/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9168164/e0a4b2d6d4b3/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9168164/18f48df31a4e/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9168164/277a4edc8c65/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9168164/6d88deb75c5f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9168164/65babd6ef5a9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9168164/ab8d83997d12/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9168164/384176b951ee/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ff4/9168164/e0a4b2d6d4b3/gr6.jpg

相似文献

[1]
A TMS/EEG protocol for the causal assessment of the functions of the oscillatory brain rhythms in perceptual and cognitive processes.

STAR Protoc. 2022-6-17

[2]
Use of transcranial magnetic stimulation for studying the neural basis of numerical cognition: A systematic review.

J Neurosci Methods. 2022-3-1

[3]
Combining TMS and EEG offers new prospects in cognitive neuroscience.

Brain Topogr. 2009-2-25

[4]
EEG-based biomarkers predict individual differences in TMS-induced entrainment of intrinsic brain rhythms.

Brain Stimul. 2024

[5]
Trait-like differences in underlying oscillatory state predict individual differences in the TMS-evoked response.

Brain Stimul. 2014

[6]
A review of combined TMS-EEG studies to characterize lasting effects of repetitive TMS and assess their usefulness in cognitive and clinical neuroscience.

Brain Topogr. 2009-10-28

[7]
Combining TMS and EEG to study cognitive function and cortico-cortico interactions.

Behav Brain Res. 2008-8-22

[8]
Optimizing functional accuracy of TMS in cognitive studies: a comparison of methods.

J Cogn Neurosci. 2009-2

[9]
TMS-EEG: A window into the neurophysiological effects of transcranial electrical stimulation in non-motor brain regions.

Neurosci Biobehav Rev. 2016-3-6

[10]
Characterizing and Modulating Brain Circuitry through Transcranial Magnetic Stimulation Combined with Electroencephalography.

Front Neural Circuits. 2016-9-22

引用本文的文献

[1]
Silicon Spike: An Arduino-based low-cost and open-access triggerbox to precisely control TMS devices.

Behav Res Methods. 2025-4-15

[2]
A Novel Real-time Phase Prediction Network in EEG Rhythm.

Neurosci Bull. 2025-3

[3]
Rhythmic TMS as a Feasible Tool to Uncover the Oscillatory Signatures of Audiovisual Integration.

Biomedicines. 2023-6-17

[4]
Electrophysiological and Behavioral Effects of Alpha-Band Sensory Entrainment: Neural Mechanisms and Clinical Applications.

Biomedicines. 2023-5-8

[5]
Two Oscillatory Correlates of Attention Control in the Alpha-Band with Distinct Consequences on Perceptual Gain and Metacognition.

J Neurosci. 2023-5-10

[6]
Modulation of cortical beta oscillations influences motor vigor: A rhythmic TMS-EEG study.

Hum Brain Mapp. 2023-2-15

[7]
Accuracy of EEG Biomarkers in the Detection of Clinical Outcome in Disorders of Consciousness after Severe Acquired Brain Injury: Preliminary Results of a Pilot Study Using a Machine Learning Approach.

Biomedicines. 2022-8-5

本文引用的文献

[1]
Individual differences in beta frequency correlate with the audio-visual fusion illusion.

Psychophysiology. 2022-8

[2]
Neural dynamics driving audio-visual integration in autism.

Cereb Cortex. 2023-1-5

[3]
Tuning alpha rhythms to shape conscious visual perception.

Curr Biol. 2022-3-14

[4]
Temporal binding window and sense of agency are related processes modifiable via occipital tACS.

PLoS One. 2021

[5]
Individual differences in alpha frequency are associated with the time window of multisensory integration, but not time perception.

Neuropsychologia. 2021-8-20

[6]
Safety and recommendations for TMS use in healthy subjects and patient populations, with updates on training, ethical and regulatory issues: Expert Guidelines.

Clin Neurophysiol. 2021-1

[7]
Spontaneous Brain Oscillations and Perceptual Decision-Making.

Trends Cogn Sci. 2020-8

[8]
Individual Alpha Frequency Predicts Perceived Visuotactile Simultaneity.

J Cogn Neurosci. 2020-1

[9]
The causal role of α-oscillations in feature binding.

Proc Natl Acad Sci U S A. 2019-8-5

[10]
Oscillatory Properties of Functional Connections Between Sensory Areas Mediate Cross-Modal Illusory Perception.

J Neurosci. 2019-5-20

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