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Updated: May 17, 2026

Dendritic Spine Quantification Using an Automatic Three-Dimensional Neuron Reconstruction Software

Dendritic Spine Quantification Using an Automatic Three-Dimensional Neuron Reconstruction Software

Published on: September 27, 2024

Dendritic spine changes associated with normal aging.

D L Dickstein¹, C M Weaver, J I Luebke

¹Fishberg Department of Neuroscience, Friedman Brain Institute, Mount Sinai School of Medicine, New York, NY 10029, USA; Computational Neurobiology and Imaging Center, Mount Sinai School of Medicine, New York, NY 10029, USA.

|October 17, 2012

Summary

This summary is machine-generated.

Aging impacts brain structure, affecting cognition. Understanding these neural changes in successful versus unsuccessful cognitive aging is key to developing treatments for cognitive decline.

Keywords:

ChAT DG DNMS DRST GluR HCN N-methyl-d-aspartate NMDA OVX PFC PKC PSCs SAMP aging cAMP choline acetyltransferase cognition cyclic-AMP delayed non-matching-to-sample delayed recognition span test dendritic spines dentate gyrus electrophysiology glutamate receptors hyperpolarization-activated cyclic nucleotide-gated morphology ovariectomized postsynaptic currents prefrontal cortex protein kinase C senescence-prone strains

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Analysis of Dendritic Spine Morphology in Cultured CNS Neurons

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Published on: July 13, 2011

Area of Science:

Neuroscience
Aging Research
Cognitive Science

Background:

Population aging is increasing, alongside age-related cognitive decline and neurodegenerative diseases.
Distinguishing neural changes between successful (unimpaired) and unsuccessful (impaired) cognitive aging is crucial.
The structural adaptations of neurons and dendritic spines during aging and their functional consequences are not well understood.

Purpose of the Study:

To review structural adaptations in neurons and dendritic spines during normal aging.
To discuss the contribution of these structural changes to electrophysiological properties and cognition.
To highlight the importance of understanding age-related synaptic changes for cognitive health.

Main Methods:

This is a review article, synthesizing existing research on neuronal and synaptic structural changes during aging.
It discusses the functional implications of these structural changes on electrophysiology and cognition.
The review focuses on differentiating changes in successful versus unsuccessful cognitive aging.

Main Results:

Aging involves structural adaptations in neurons and dendritic spines.
These structural changes likely impact neuronal electrophysiology and cognitive function.
Significant gaps remain in understanding the precise mechanisms and consequences of these age-related synaptic modifications.

Conclusions:

Elucidating age-related structural and functional synaptic changes is vital for understanding cognitive impairment.
Such knowledge may facilitate the development of therapeutic interventions to preserve or restore neural circuits.
This research is critical for promoting successful cognitive aging and mitigating age-related cognitive decline.