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

April 2017

Synopsis of Social media discussions

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.

A
Agreement
 Moderate agreement

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

I
Interest
 High level of interest

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

E
Engagement
 Moderate level of engagement

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

I
Impact
 Moderate level of 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.

Social Mentions

YouTube

2 Videos

Twitter

18 Posts

Metrics

Video Views

2,006

Total Likes

114

Extended Reach

14,364

Social Features

20

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

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November 12, 2020

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NeuroLinguistic Labyrinth

September 29, 2022

116 views

  • Lemona Zhang
    @lxinxuanzhang (Twitter)

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

    December 27, 2022

  • 念靖晴 | Nian Jingqing
    @hnustpanda (Twitter)

    RT @TGrootswagers: Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    September 25, 2021

    16

  • Alexander Sulfaro (Alex)
    @HereForPapers (Twitter)

    RT @TGrootswagers: Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    November 12, 2020

    16

  • Morgan Hough (mhough.bsky.social)
    @mhough (Twitter)

    RT @TGrootswagers: Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    November 12, 2020

    16

  • NeuroTechSF
    @neurotechsf (Twitter)

    RT @TGrootswagers: Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    November 12, 2020

    16

  • Melinda Sabo | sabomelinda.bsky.social
    @SaboMelinda (Twitter)

    RT @TGrootswagers: Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    November 12, 2020

    16

  • Alireza Karami | علیرضا کرمی
    @alirkarami (Twitter)

    RT @TGrootswagers: Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    November 12, 2020

    16

  • Jorge González Alonso
    @jorjaito (Twitter)

    RT @TGrootswagers: Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    November 12, 2020

    16

  • Australasian Society for Experimental Psychology
    @expsyaunz (Twitter)

    RT @TGrootswagers: Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    November 12, 2020

    16

  • Peter Keller
    @perikeller (Twitter)

    RT @TGrootswagers: Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    November 12, 2020

    16

  • Abir Chowdhury*
    @mkswingac (Twitter)

    RT @TGrootswagers: Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    November 12, 2020

    16

  • Catriona Scrivener
    @catrionascriv (Twitter)

    RT @TGrootswagers: Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    November 12, 2020

    16

  • Cogsci.nl
    @cogscinl (Twitter)

    RT @TGrootswagers: Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    November 12, 2020

    16

  • zuxfoucault
    @zuxfoucault (Twitter)

    RT @TGrootswagers: Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    November 12, 2020

    16

  • Laura-Isabelle Klatt
    @LoraKlatt (Twitter)

    RT @TGrootswagers: Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    November 12, 2020

    16

  • Yifei He @yifeihe.bsky.social
    @Yifei_He_CogNeu (Twitter)

    RT @TGrootswagers: Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    November 12, 2020

    16

  • Dr. Tijl Grootswagers
    @TGrootswagers (Twitter)

    Uploaded the recording of my introductory presentation "Decoding and representational dynamics in MEG and EEG"
    view full post

    November 12, 2020

    66

    16

  • Jeff Johnson ✊
    @jeffmri (Twitter)

    @matteo_brainnet This paper by Grootswagers et al. gives a broad overview of various approaches. https://t.co/wR636uCsmh
    view full post

    May 15, 2019

    1

Abstract Synopsis

  • 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.]