Neurostructural Correlates and Impulsive Mechanisms of Exercise Dependence in Middle-Aged and Elderly Adults: Evidence from Gray Matter and Structural Covariance Networks
Initial evidence of neurostructural markers underlying exercise dependence in the middle-aged and elderly adults are provided, demonstrating associations with regional GMV and whole-brain structural covariance networks.
OBJECTIVE
To characterize distributed structural brain alterations and interindividual structural variability in adolescents with functional/dissociative seizures (FDS) and examine their relationship with dissociative symptom severity.
METHODS
Seventy adolescents with FDS and 70 healthy controls underwent high-resolu...
Kalpana Dhanik, Amit Arya, Vivek Agarwal et al.· Epilepsy & Behavior· 0 citations
This study investigated the neural substrates and cognitive correlates of adolescent anxiety, which are currently incompletely understood, in N=3499 youth (~51.0% females) from the Adolescent Brain Cognitive Study, with median(IQR) age =12.0(1.1) years. Resting-state fMRI, structural MRI, anxiety (scores and related...
It is suggested that SCA was associated with lower PCC–prefrontal functional connectivity, but not with detectable preservation of PCC cortical thickness, which provides a potential framework for understanding heterogeneous cognitive-aging trajectories, but require confirmation in larger longitudinal cohorts.
Jie Wang, Yun-Fei Li, Tianyuyi Feng et al.· Frontiers in Aging Neuroscie...· 0 citations
The associations between 24‐h movement behaviors and cognitive function may depend on microstructural brain integrity (i.e., GMMD), which highlights the importance of considering Alzheimer's disease‐related brain signatures when investigating lifestyle–cognition associations and support a more personalized approach to...
B. Fernandez-Gamez, P. Solís-Urra, J. Sanchez-Martinez et al.· Scandinavian Journal of Medi...· 0 citations
Related blog posts
MIT News · Artificial Intelligence· news.mit.eduOct 13, 2026
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
MIT News · Artificial Intelligence· news.mit.eduJul 15, 2026
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.
Microsoft Research Blog· microsoft.comJul 13, 2026
Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduJul 6, 2026
PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.