ENIGMA HALFpipe: Interactive, reproducible, and efficient analysis for resting-state and task-based fMRI data.

Lea Waller, Susanne Erk, Elena Pozzi, Yara J Toenders, Courtney C Haswell, Marc Büttner, Paul M Thompson, Lianne Schmaal, Rajendra A Morey, Henrik Walter, Ilya M Veer

June 2022 Hum Brain Mapp

Synopsis of Social media discussions

The overall discussions reveal strong support for HALFpipe’s potential to standardize and enhance neuroimaging analyses, with comments like 'It looks great but ideally the pipeline would also include graph theory analyses' suggesting active engagement and interest in extending its functionalities. The tone varies from technical praise to curiosity about applications, which collectively indicate a positive yet evolving reception.

A
Agreement
 Moderate agreement

Most discussions highlight the usefulness and positive aspects of ENIGMA HALFpipe, signaling general support and recognition of its value.

I
Interest
 High level of interest

Posts show high interest by referencing specific features and potential applications, indicating enthusiasm about the tool's capabilities.

E
Engagement
 Moderate level of engagement

While some tweets share insights or suggestions, few deeply explore critiques or detailed technical discussions, reflecting moderate engagement.

I
Impact
 Moderate level of impact

Several mentions of the publication's broad utility and the promise of improved reproducibility suggest it could influence neuroimaging practices, but concrete evidence of widespread change remains limited.

Social Mentions

YouTube

1 Videos

Twitter

81 Posts

Metrics

Video Views

1,406

Total Likes

206

Extended Reach

225,633

Social Features

82

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Task-based fMRI Analysis with ENIGMA HALFpipe Protocols

Task-based fMRI Analysis with ENIGMA HALFpipe Protocols

This tutorial demonstrates preprocessing and first and second-level analysis of task-based fMRI data using the ENIGMA HALFpipe pipeline. For detailed analysis guidelines, refer to the available manuals that cover various domains, including inhibitory, executive, and emotional processing.

ENIGMA Consortium

June 7, 2022

1,406 views

  • Pete Manza
    @PeteManza (Twitter)

    Neuroimaging friends: anyone have suggestions for reproducible fMRI analysis pipelines post-BIDS processing? Something like ENIGMA HALFpipe: https://t.co/gtZjgPhXm9 It looks great but ideally the pipeline would also include graph theory analyses, e.g. modularity. Thanks!
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    May 2, 2023

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  • Toshiharu Kamishikiryo
    @k5105880 (Twitter)

    QAまで一緒になってるところが便利！ ENIGMA HALFpipe: Interactive, reproducible, and efficient analysis for resting‐state and task‐based fMRI data https://t.co/0b75TLRsUO
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    August 16, 2022

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    June 22, 2022

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  • Toshiharu Kamishikiryo
    @k5105880 (Twitter)

    ほう、これが例のヤツかぁ。 ENIGMA-OCD Protocols | Task-based fMRI analyses in HALFpipe https://t.co/6wPpCPkA8r via @YouTube
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    June 8, 2022

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  • Paul Thompson
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    April 6, 2022

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    ENIGMA HALFpipe: Interactive, reproducible, and efficient analysis for resting‐state and task‐based fMRI data https://t.co/KFZzRhF5uj
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  • 念靖晴 | Nian Jingqing
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    RT @ParkvilleGeek: ENIGMA HALFpipe: Interactive, reproducible, and efficient analysis for resting‐state and task‐based fMRI data - Waller -…
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    April 2, 2022

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  • Sarah Whittle
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    April 1, 2022

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  • Qing Wang (Vincent)
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    April 1, 2022

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    April 1, 2022

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    April 1, 2022

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    ENIGMA HALFpipe: Interactive, reproducible, and efficient analysis for resting‐state and task‐based fMRI data - Waller - - Human Brain Mapping - Wiley Online Library https://t.co/sFTfLDfvsC https://t.co/o6Eglpfy6w
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    October 7, 2021

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    May 25, 2021

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    May 24, 2021

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    May 12, 2021

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    May 12, 2021

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    May 11, 2021

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  • Dr. Carrie Esopenko
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    May 11, 2021

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    RT @HippocampusGirl: HALFpipe is a user interface to fMRIPrep plus a variety of fMRI analysis workflows built to maximize reproducibility C…
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    May 11, 2021

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    May 11, 2021

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    RT @HippocampusGirl: HALFpipe is a user interface to fMRIPrep plus a variety of fMRI analysis workflows built to maximize reproducibility C…
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    May 11, 2021

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  • Jamie Hanson (@jamielarsh.bsky.social)
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    RT @HippocampusGirl: HALFpipe is a user interface to fMRIPrep plus a variety of fMRI analysis workflows built to maximize reproducibility C…
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    May 11, 2021

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    RT @HippocampusGirl: HALFpipe is a user interface to fMRIPrep plus a variety of fMRI analysis workflows built to maximize reproducibility C…
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    May 11, 2021

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  • Harrison Ritz
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    RT @HippocampusGirl: HALFpipe is a user interface to fMRIPrep plus a variety of fMRI analysis workflows built to maximize reproducibility C…
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    May 11, 2021

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  • Armin Raznahan
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    May 11, 2021

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  • Julian Neumann
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    RT @HippocampusGirl: HALFpipe is a user interface to fMRIPrep plus a variety of fMRI analysis workflows built to maximize reproducibility C…
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  • Michael Fox
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  • Lea Waller
    @HippocampusGirl (Twitter)

    HALFpipe is a user interface to fMRIPrep plus a variety of fMRI analysis workflows built to maximize reproducibility Check out our pre-print "ENIGMA HALFpipe: Interactive, reproducible, and efficient analysis for resting-state and task-based fMRI data" https://t.co/Yju89ZXnZs
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    May 10, 2021

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    ENIGMA HALFpipe: Interactive, reproducible, and efficient analysis for resting-state and task-based fMRI data | #bioRxiv https://t.co/JiQqUIWymR https://t.co/ameLyOGJJ6
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    May 10, 2021

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Abstract Synopsis

  • HALFpipe is an open-source tool designed to improve the reproducibility and efficiency of analyzing resting-state and task-based fMRI data by standardizing preprocessing, quality assessment, feature extraction, and group-level statistics.
  • It extends existing preprocessing methods like fMRIPrep by adding steps such as spatial smoothing, filtering, and confound regression, and provides an interactive webpage for quality checks.
  • The tool offers a wide range of postprocessing functions, including functional connectivity analysis, regional homogeneity, and advanced group-level models, helping researchers address reproducibility issues in neuroimaging studies.]