Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Brain Imaging01:14

Brain Imaging

318
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
318
Neurogenesis and Regeneration of Nervous Tissue01:15

Neurogenesis and Regeneration of Nervous Tissue

1.0K
In the CNS, neurogenesis, the birth of new neurons from stem cells, is limited to the hippocampus in adults. In other regions of the brain and spinal cord, neurogenesis is almost non-existent due to inhibitory influences from neuroglia, especially oligodendrocytes, and the absence of growth-stimulating cues. The myelin produced by oligodendrocytes in the CNS inhibits neuronal regeneration. Furthermore, astrocytes proliferate rapidly after neuronal damage, forming scar tissue that physically...
1.0K
Neuroplasticity01:01

Neuroplasticity

791
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
791

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Strategies for Identifying Molecules of Interest in Large Chemical Spaces.

Journal of chemical information and modeling·2026
Same author

Tau-ing and fro-ing: the tanycytic shuttle in neurodegeneration.

The journal of prevention of Alzheimer's disease·2026
Same author

Metabolic state determines the brain and direct islet effects of liraglutide on enhanced insulin secretion.

Diabetologia·2026
Same author

A synaptoid connectome differentiates tanycytic subpopulations and underlies neuroglial communication and neuroendocrine regulation.

Nature communications·2026
Same author

Increased Brown Adipose Tissue Thermogenesis in Phenylketonuria.

MedComm·2026
Same author

SUCNR1 coordinates metabolic flux, mitochondrial function, and nutrient-dependent adaptation in hepatocytes.

Science advances·2026

Related Experiment Video

Updated: Sep 15, 2025

Simple Generation of a High Yield Culture of Induced Neurons from Human Adult Skin Fibroblasts
09:07

Simple Generation of a High Yield Culture of Induced Neurons from Human Adult Skin Fibroblasts

Published on: February 5, 2018

10.5K

A Machine-Learning Approach Identifies Rejuvenating Interventions in the Human Brain.

Guillem Santamaria1, Cristina Iglesias2, Sascha Jung3

  • 1Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Avenue du Swing, Esch-Belval Esch-sur-Alzette, 4367, Luxembourg.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|July 15, 2025
PubMed
Summary

A new computational platform identifies brain rejuvenation strategies to combat age-related brain disorders. It screened thousands of interventions, finding promising compounds and drugs for neurodegenerative diseases like Alzheimer's.

Keywords:
cognitive declinegene expressionsenescencetherapiestranscriptional age

More Related Videos

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K
Lineage-reprogramming of Pericyte-derived Cells of the Adult Human Brain into Induced Neurons
09:36

Lineage-reprogramming of Pericyte-derived Cells of the Adult Human Brain into Induced Neurons

Published on: May 12, 2014

12.4K

Related Experiment Videos

Last Updated: Sep 15, 2025

Simple Generation of a High Yield Culture of Induced Neurons from Human Adult Skin Fibroblasts
09:07

Simple Generation of a High Yield Culture of Induced Neurons from Human Adult Skin Fibroblasts

Published on: February 5, 2018

10.5K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K
Lineage-reprogramming of Pericyte-derived Cells of the Adult Human Brain into Induced Neurons
09:36

Lineage-reprogramming of Pericyte-derived Cells of the Adult Human Brain into Induced Neurons

Published on: May 12, 2014

12.4K

Area of Science:

  • Neuroscience
  • Computational Biology
  • Gerontology

Background:

  • Increasing life expectancy leads to a rise in age-related brain disorders.
  • Effective interventions for brain rejuvenation are needed but systematic discovery methods are lacking.

Purpose of the Study:

  • To develop a computational platform for identifying brain-rejuvenating interventions.
  • To screen chemical and genetic perturbations for their potential to reverse brain aging and neurodegeneration.

Main Methods:

  • Development of a transcriptional brain aging clock to detect age- and neurodegeneration-related changes.
  • Screening of 43,840 transcriptional profiles of chemical and genetic perturbations.
  • Validation of identified interventions in aged mice, assessing behavioral and molecular outcomes.

Main Results:

  • The platform accurately predicted increased brain age in neurodegeneration-positive samples.
  • Identified 453 unique rejuvenating interventions, including known lifespan-extending compounds and drugs for neurological disorders.
  • A combination of predicted compounds improved memory, reduced anxiety, and rejuvenated the brain cortex transcriptome in aged mice.

Conclusions:

  • The developed computational platform effectively identifies brain-rejuvenating interventions.
  • These findings offer potential new therapeutic strategies for neurodegenerative diseases.
  • The platform demonstrates utility in discovering interventions for age-related cognitive decline.