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Dementia l: Introduction

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Dementia is an acquired, progressive syndrome characterized by a decline in multiple cognitive domains severe enough to impair daily functioning and reduce independence. Although memory loss is a central feature, the diagnosis requires additional deficits involving language, executive function, visuospatial skills, judgment, calculation, or abstract reasoning. These cognitive impairments reflect underlying neurodegenerative or vascular processes that gradually disrupt neuronal networks...

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Updated: Jul 5, 2026

Longitudinal In Vivo Imaging of the Cerebrovasculature: Relevance to CNS Diseases

Longitudinal In Vivo Imaging of the Cerebrovasculature: Relevance to CNS Diseases

Published on: December 6, 2016

Longitudinal imaging in dementia.

R I Scahill¹, N C Fox

¹Dementia Research Centre, 8-11 Queen Square, London WC1N 3BG, UK. rscahill@dementia.ion.ucl.ac.uk

The British Journal of Radiology

|May 1, 2008

Summary

This summary is machine-generated.

Neuroimaging is crucial for diagnosing dementia in older adults, aiding in early detection, differentiating from healthy aging, and tracking disease progression for better treatment outcomes.

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Last Updated: Jul 5, 2026

Longitudinal In Vivo Imaging of the Cerebrovasculature: Relevance to CNS Diseases

Longitudinal In Vivo Imaging of the Cerebrovasculature: Relevance to CNS Diseases

Published on: December 6, 2016

Using Retinal Imaging to Study Dementia

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Area of Science:

Gerontology and Neurology
Medical Imaging and Diagnostics

Background:

Dementia is a significant public health concern in aging populations, affecting 20% of individuals over 80.
The development of new therapies necessitates earlier and more accurate diagnostic methods.

Purpose of the Study:

To highlight the increasing importance and acceptance of neuroimaging in dementia diagnosis.
To outline the multifaceted role of neuroimaging in the diagnostic and prognostic evaluation of dementia.

Main Methods:

Review of the current applications and value of neuroimaging techniques in dementia assessment.
Analysis of how neuroimaging aids in differential diagnosis and prediction of disease conversion.

Main Results:

Neuroimaging can distinguish neurodegeneration from healthy aging.
It assists in predicting conversion to dementia in at-risk individuals.
Neuroimaging enables tracking disease progression and evaluating drug efficacy.

Conclusions:

Neuroimaging is an indispensable tool for improving the accuracy and timeliness of dementia diagnosis.
Its applications extend to predicting disease trajectory and assessing therapeutic interventions.