Results 161 to 170 of about 2,097,859 (395)

A Machine‐Learning Approach Identifies Rejuvenating Interventions in the Human Brain

open access: yesAdvanced Science, EarlyView.
Rising life expectancy increases the incidence of age‐related neurodegeneration. Reverting brain aging through effective rejuvenation strategies constitutes a promising strategy to counteract these disorders and restore brain function. This study uses a brain‐specific transcriptional aging clock to screen over 43 000 perturbation profiles, identifying ...
Guillem Santamaria   +5 more
wiley   +1 more source

Enhanced Brain‐Heart Connectivity as a Precursor of Reduced State Anxiety after Therapeutic Virtual Reality Immersion

open access: yesAdvanced Science, EarlyView.
This study shows that enhanced brain‐to‐heart coupling is a precursor of anxiety reduction following a virtual reality‐based non‐pharmacological intervention. Driven by midline beta rhythms, this effect suggests the involvement of central‐autonomic interactions.
Idil Sezer   +6 more
wiley   +1 more source

Multi‐Region Brain Organoids Integrating Cerebral, Mid‐Hindbrain, and Endothelial Systems

open access: yesAdvanced Science, EarlyView.
Multi‐Region Brain Organoids combine cerebral, mid/hindbrain, and endothelial components into an advanced 3D model capturing 80% of fetal brain cellular diversity. This platform reveals essential endothelial‐neural signaling networks that maintain region‐specific intermediate progenitors during hindbrain development.
Anannya Kshirsagar   +10 more
wiley   +1 more source

Letters to the Editor [PDF]

open access: yes, 2011
Letter to the Editor, Jefferson Journal of Psychiatry, Volume 9, Number 2 ...

core   +1 more source

Spatiotemporal Characterization of the Functional MRI Latency Structure with Respect to Neural Signaling and Brain Hierarchy

open access: yesAdvanced Science, EarlyView.
Resting‐state fMRI captures intrinsic brain activity, yet the physical significance of latency structures remains unclear. In this study, the spatiotemporal properties of fMRI‐derived latency structures are examined by linking them to biophysical model‐based neural functions, intrinsic neural timescales, and functional gradients.
Hyoungshin Choi   +5 more
wiley   +1 more source

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