Small sample sizes reduce the replicability of task-based fMRI studies.

Benjamin O Turner, Erick J Paul, Michael B Miller, Aron K Barbey

June 2018 Commun Biol

Synopsis of Social media discussions

The discussions reflect a strong agreement with the article's conclusion, citing specific aspects such as Turner’s findings on the poor replicability of BOLD responses with small samples—especially at N > 100—demonstrating technical engagement. The tone emphasizes the importance of larger samples for more reliable neuroimaging results, indicating both curiosity and recognition of broad implications.

A
Agreement
 Strong agreement

Most discussions acknowledge that small sample sizes negatively affect the reliability of neuroimaging results, aligning with the publication's findings.

I
Interest
 Moderate level of interest

Participants show a moderate level of interest, since MRI research and methodological issues are somewhat specialized but still relevant to scientific progress.

E
Engagement
 High engagement

Discussions include references to specific studies and technical metrics, indicating deep engagement with the research implications.

I
Impact
 High level of impact

The collective tone stresses that improving sample sizes could significantly enhance research replicability, underscoring high impact on future study designs.

Social Mentions

YouTube

3 Videos

Facebook

3 Posts

Twitter

5 Posts

Blogs

2 Articles

News

4 Articles

Reddit

2 Posts

Metrics

Video Views

4,680

Total Likes

393

Extended Reach

10,719

Social Features

19

Timeline: Posts about article

Top Social Media Posts

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  • Takahikoike
    @takahikoike (Twitter)

    Small sample sizes reduce the replicability of task-based fMRI studies https://t.co/X8Rdjt20k2
    view full post

    April 5, 2022

    2

  • nicola sambuco
    @NicolaSambuco (Twitter)

    With little amount of data per subject (~ 5 min), Turner (https://t.co/ae0ucWdzn6) have showed that replicability of BOLD amplitude of peak activity (calculated as a hit rate) and cluster activation (Jaccard index) is very poor, even at samples N>100. 3/n
    view full post

    January 10, 2022

    4

  • bioRxiv Published
    @biorxiv_pubd (Twitter)

    How Sample Size Influences The Replicability Of Task-Based fMRI published as: https://t.co/eJpn57xBJ0 #Communications_Biology #biorxiv
    view full post

    August 20, 2020

  • Ali Khatibi @alikhatibi.bsky.social
    @AliiKhatibi (Twitter)

    RT @martaceko: Small sample sizes reduce the replicability of task-based fMRI studies https://t.co/e3pA4n4lXJ
    view full post

    April 26, 2019

    1

  • Marta Čeko
    @martaceko (Twitter)

    Small sample sizes reduce the replicability of task-based fMRI studies https://t.co/e3pA4n4lXJ
    view full post

    April 26, 2019

    2

    1

Abstract Synopsis

  • Small sample sizes in task-based fMRI studies lead to lower chances of producing consistent and replicable results, making it hard to confirm findings across different studies.
  • The study shows that even sample sizes around 100 participants, which are common in many studies, only yield modest replicability, and much larger samples are needed for more reliable results.
  • The findings emphasize the importance of using larger samples in neuroimaging research to improve the reliability of conclusions, aiming to make the case clearer for researchers who might find previous technical discussions about sample sizes confusing.]