April 2017 PMID 27779910

Decoding Dynamic Brain Patterns from Evoked Responses: A Tutorial on Multivariate Pattern Analysis Applied to Time Series Neuroimaging Data.

Tijl Grootswagers, Susan G Wardle, Thomas A Carlson

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Mentions

Peak: 16 in Nov 2020

across 2 sources since May 2019

Extended reach

14,364

potential audience

Total likes

114

Video views

2,006

Mentions per month

May 2019 – Dec 2022

Where it's discussed

X / Twitter18 posts
YouTube2 videos

AI synopsis

What people are saying

The overall tone reflects strong interest, as evidenced by posts sharing recordings of presentations and summarizing the paper's coverage of MVPA methods, which suggests active engagement with its content. Words like 'broad overview' and references to 'decoding,' 'representational dynamics,' and overall methodological explanations highlight the perceived importance and relevance in cognitive neuroscience research.

AgreementModerate agreement

Most discussions are positive or neutral, with some posts endorsing the article or summarizing its content favorably.

InterestHigh interest

Users display high curiosity about the topic, especially with descriptions of presentations and methodological overviews.

EngagementModerate engagement

Participants engage by sharing recordings and mentioning specific approaches, indicating meaningful involvement.

ImpactModerate impact

The conversations suggest that the article is considered valuable for understanding neuroimaging analysis techniques, though impact is moderate due to limited depth in critiques.

Abstract in brief

This tutorial explains how multivariate pattern analysis (MVPA) is used to decode dynamic brain activity from time series neuroimaging data like MEG and EEG, highlighting its growing importance in cognitive neuroscience research.
It emphasizes that various analysis choices, such as data preprocessing and classifier selection, can greatly influence the results, and demonstrates these effects using MEG data to decode perceptual or cognitive states over time.
The review also covers advanced methods like representational similarity analysis and temporal generalization, while cautioning researchers to carefully consider experimental design and interpretation when applying time series decoding techniques.]

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All mentions

Decoding Dynamic Brain Activity with MEG and EEG Techniques

This tutorial explains how multivariate pattern analysis is used to decode brain activity from neuroimaging data like MEG and EEG, emphasizing the importance of analysis choices and advanced methods such as…

Tijl Grootswagers · Nov 12, 2020 1,890 views

Neural Decoding Using Machine Learning Techniques in Neuroimaging

This tutorial explains how multivariate pattern analysis is used to decode dynamic brain activity from time series neuroimaging data like MEG and EEG, highlighting its growing importance in cognitive neuroscience…

NeuroLinguistic Labyrinth · Sep 29, 2022 116 views

Lemona Zhang

@lxinxuanzhang · X

Decoding Dynamic Brain Patterns from Evoked Responses: A Tutorial on Multivariate Pattern Analysis Applied to Time Series Neuroimaging Data https://t.co/zVlWh65dNl

Dec 27, 2022 · 17 followers View post →

念靖晴 | Nian Jingqing

@hnustpanda · X