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Brain Imaging

Brain Imaging

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...

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Updated: Apr 25, 2026

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Published on: June 3, 2020

Structural imaging measures of brain aging.

Samuel N Lockhart¹, Charles DeCarli

¹Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, CA, USA.

Neuropsychology Review

|August 23, 2014

Summary

This summary is machine-generated.

Brain aging involves structural changes, particularly in frontal and medial temporal regions, impacting cognitive abilities. Understanding these changes is key to maintaining cognitive health in aging populations.

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Area of Science:

Neuroscience
Gerontology
Cognitive Science

Background:

Normal aging is associated with biological brain changes affecting cognitive function.
Neuroimaging studies provide insights into healthy brain aging in older adults.
Lifespan and disease-specific studies offer comparative perspectives on cognitive aging.

Purpose of the Study:

To review neuroimaging findings in normal brain aging.
To correlate structural brain changes with cognitive performance.
To discuss challenges in interpreting cognitive aging theories due to comorbid diseases.

Main Methods:

Focus on structural Magnetic Resonance Imaging (MRI) biomarkers (volumetric, thickness).
Inclusion of white matter integrity measures (FLAIR, Diffusion Tensor Imaging - DTI).
Complementary data from Positron Emission Tomography (PET) and cognitive testing.

Main Results:

Consistent age-related structural differences observed in frontal and medial temporal lobes.
Cognitive abilities mediated by these regions show corresponding age-related differences.
Degeneration in specific white matter tracts (e.g., corpus callosum) linked to cognitive performance decline.

Conclusions:

Age-related brain structure changes, especially in frontal and medial temporal regions, impact cognition.
White matter integrity is crucial for cognitive performance in aging.
Differentiating normal aging from pathological conditions (Alzheimer's, cerebrovascular disease) is vital for effective interventions.