Synopsis of Social media discussions

The discussions express enthusiasm for the new high-speed MRI technique, using terms like 'optimized' and 'practical tricks' to highlight its advancements, while some reference videos demonstrating its application, suggesting a moderate level of engagement and recognition of its potential to improve neuroimaging research.

A
Agreement
Moderate agreement

Many posts express positive recognition of the publication’s benefits, with phrases like 'optimized for applications' and 'practical tricks' implying agreement with its significance.

I
Interest
High level of interest

The discussion shows high interest, highlighted by mentions of the sequence’s speed and practical applications in high-resolution imaging.

E
Engagement
Moderate level of engagement

Posts include references to specific methods and videos, indicating moderate engagement; users comment on technical details or share helpful resources.

I
Impact
Moderate level of impact

There is an acknowledgment of the potential impact in the field, with some highlighting the improvements in brain mapping and registration accuracy, though it remains based on initial enthusiasm.

Social Mentions

YouTube

1 Videos

Bluesky

3 Posts

Twitter

6 Posts

Metrics

Video Views

366

Total Likes

36

Extended Reach

67,224

Social Features

10

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Enhancing High-Resolution fMRI with T1234 Distortion-Matched MRI Technique

Enhancing High-Resolution fMRI with T1234 Distortion-Matched MRI Technique

This video accompanies the technical note titled T1234 A DistortionMatched Structural Scan Solution to Misregistration of HighResolution fMRI Data published in Magnetic Resonance in Medicine. It provides a practical tutorial on the sequence's implementation, improving brain imaging accuracy.

March 13, 2025

366 views


  • Komolafe John
    @JohnnyKomolafe (Twitter)

    RT @layerfMRI: New Layer-fMRI paper: T1234. A sequence that gets structural reference data, in 3-4 minutes. While also being optimized for…
    view full post

    March 14, 2025

    3

  • Clara H. Whyte
    @ClaraHWhyte (Twitter)

    RT @layerfMRI: New Layer-fMRI paper: T1234. A sequence that gets structural reference data, in 3-4 minutes. While also being optimized for…
    view full post

    March 13, 2025

    3

  • Logan Dowdle
    @dowdlelt (Twitter)

    RT @layerfMRI: New Layer-fMRI paper: T1234. A sequence that gets structural reference data, in 3-4 minutes. While also being optimized for…
    view full post

    March 13, 2025

    3


  • @layerfmri.bsky.social (Bluesky)

    New Layer-fMRI paper: T1234. A sequence that gets structural reference data, in 3-4 minutes. While also being optimized for applications in layer-fMRI studies. doi.org/10.1002/mrm.... Here a the MRM highlights video with practical tricks: youtu.be/9GBP9i1V3c4 By Kenny at al.
    view full post

    March 13, 2025

    11

    5

  • layerfMRI
    @layerfMRI (Twitter)

    New Layer-fMRI paper: T1234. A sequence that gets structural reference data, in 3-4 minutes. While also being optimized for applications in layer-fMRI studies. https://t.co/neuSJfqIoj Here a the MRM highlights video with practical tricks: https://t.co/ARPJzcLjow By Kenny at al. https://t.co/NKTZEICiFv
    view full post

    March 13, 2025

    15

    3

  • Clara H. Whyte
    @ClaraHWhyte (Twitter)

    RT @biorxiv_neursci: T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data https://t.co/hvl…
    view full post

    September 21, 2024

    1

  • bioRxivpreprint
    @biorxivpreprint.bsky.social (Bluesky)

    T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data https://www.biorxiv.org/content/10.1101/2024.09.19.613939v1
    view full post

    September 20, 2024

  • bioRxiv Neuroscience
    @biorxiv-neursci.bsky.social (Bluesky)

    T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data https://www.biorxiv.org/content/10.1101/2024.09.19.613939v1
    view full post

    September 20, 2024

  • bioRxiv Neuroscience
    @biorxiv_neursci (Twitter)

    T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data https://t.co/hvlLkjvVXv #biorxiv_neursci
    view full post

    September 20, 2024

    1

Abstract Synopsis

  • The study introduces T1234, a new rapid high-resolution MRI scanning method that minimizes distortions in structural images to better match functional MRI data, especially at 7 Tesla.
  • T1234 uses a specialized T-weighted sequence with different encoding directions to produce either distortion-matched or distortion-free images, improving the accuracy of brain mapping.
  • The approach has been validated with multiple participants and scanner types, showing it reliably improves brain segmentation and layer-specific fMRI analysis, and is now accessible to other research centers worldwide.]