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Related Concept Videos

Dementia01:30

Dementia

Dementia is a collective term for cognitive disorders primarily affecting memory, thinking, and reasoning. It is not a specific disease but a syndrome, with Alzheimer's disease being the most common cause, accounting for approximately 60-80% of cases. Other types include vascular dementia, Lewy body dementia, and frontotemporal dementia. Dementia affects millions worldwide, particularly older adults, though it is not a normal part of aging.
The progression of dementia is generally gradual.
Dementia l: Introduction01:22

Dementia l: Introduction

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...
Alzheimer Disease l: Introduction01:29

Alzheimer Disease l: Introduction

Alzheimer disease is a chronic, progressive, and irreversible neurodegenerative disorder and the most common cause of dementia in older adults. It leads to gradual neuronal loss, causing cognitive decline, behavioral changes, and loss of functional independence.Risk Factors and EtiologyThe disease is multifactorial. Age is the strongest risk factor, with prevalence doubling every 5 years after age 65. Genetic factors include mutations in genes such as APP, PSEN1, and PSEN2, which are associated...
Alzheimer's Disease: Overview01:26

Alzheimer's Disease: Overview

Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ and tau...

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Related Experiment Video

Updated: Jun 12, 2026

Using Retinal Imaging to Study Dementia
09:17

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

[MR spectroscopy in dementia].

T Hauser1, L Gerigk, F Giesel

  • 1Abteilung E010, Radiologie, Deutsches Krebsforschungszentrum (DKFZ) Heidelberg , Im Neuenheimer Feld 280, 69120, Heidelberg, Deutschland. t.hauser@dkfz.de

Der Radiologe
|June 17, 2010
PubMed
Summary
This summary is machine-generated.

Magnetic Resonance Imaging (MRI) and MR spectroscopy aid in early dementia diagnosis by detecting changes beyond physical structure. These techniques offer valuable insights into cognitive decline and various dementia types.

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The Use of Magnetic Resonance Spectroscopy as a Tool for the Measurement of Bi-hemispheric Transcranial Electric Stimulation Effects on Primary Motor Cortex Metabolism
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Area of Science:

  • Neuroimaging
  • Neurology
  • Biomedical Engineering

Context:

  • The global population is aging, leading to a rise in dementia cases.
  • Early and accurate diagnosis is crucial for managing dementia and cognitive impairment.
  • Magnetic Resonance Imaging (MRI) is a key tool in dementia diagnostics.

Purpose:

  • To explore the role of MR spectroscopic changes in physiological aging.
  • To investigate MR spectroscopic alterations in mild cognitive impairment (MCI) and various dementia subtypes.
  • To highlight how MR spectroscopy parameters can enhance dementia diagnosis and differential diagnosis.

Summary:

  • This review focuses on MR spectroscopic findings associated with normal aging.
  • It examines spectroscopic changes in mild cognitive impairment (MCI), Alzheimer's dementia, frontotemporal dementia, vascular dementia, and Lewy body dementia.
  • MR spectroscopy provides functional insights complementing morphological MRI data for improved diagnostic accuracy.

Impact:

  • Improved early diagnosis and differential diagnosis of various dementia types.
  • Potential for developing novel biomarkers for cognitive decline and neurodegenerative diseases.
  • Enhanced understanding of the neurobiological underpinnings of aging and dementia.