Hum Brain Mapp June 2018 PMID 29524289

Age-related changes in the ease of dynamical transitions in human brain activity.

Takahiro Ezaki, Michiko Sakaki, Takamitsu Watanabe, Naoki Masuda

Mentions

3
Peak: 1 in Mar 2019
across 2 sources since Mar 2019

Extended reach

199,456
potential audience

Total likes

2,167

Video views

196,719

Mentions per month

Mar 2019 – Dec 2023

Where it's discussed

  • YouTube2 videos
  • X / Twitter1 posts

AI synopsis

What people are saying

The discussions highlight the scientific details of the study by mentioning neural network coherence and state changes in older adults, with phrases like 'fascinating insights' indicating an appreciation of the research's significance. The tone and context reflect an academic curiosity rather than deep debate or push for change.

AgreementModerate agreement

The last post appreciates the insights from the research, indicating general agreement or interest in the findings.

InterestModerate interest

The mention of 'fascinating insights' and the comparison of neural networks in different age groups suggest a moderate level of curiosity.

EngagementModerate engagement

The reference to specific concepts like 'weaker coherence' and the event hashtag shows some engagement, though it remains somewhat superficial.

ImpactNeutral impact

The discussion hints at scientific insights, but it does not explicitly suggest the findings will cause a major shift in understanding or practice, so impact remains neutral.

Abstract in brief

  • The study investigates how aging affects brain dynamics, focusing on the ease of transitioning between different patterns of brain activity in the default mode network (DMN) and cingulo-opercular network (CON).
  • Findings show that older adults experience a decreased ease of transitions in both networks compared to younger adults, which correlates with declines in executive function performance.
  • The research indicates that the age-related decline in executive functions is linked to alterations in brain dynamics, with younger individuals relying more on the CON and older individuals more on the DMN during cognitive tasks.]

Top posts

Most liked on X and Bluesky
Bhisma Chakrabarti @bhisma.bsky.social
@bhismadev · X

Functional connectivity and energy landscapes of common neural networks in young vs older adults : https://t.co/QTzGmULJNq Weaker coherence and more frequent state changes in older adults. Fascinating insights from @MichikoSakaki at #ReadEmo20

Jun 12, 2020 · 12 likes · 2,738 followers View post →

All mentions

Bhisma Chakrabarti @bhisma.bsky.social
@bhismadev · X

Functional connectivity and energy landscapes of common neural networks in young vs older adults : https://t.co/QTzGmULJNq Weaker coherence and more frequent state changes in older adults. Fascinating insights from @MichikoSakaki at #ReadEmo20

Jun 12, 2020 · 12 likes · 2,738 followers View post →