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Related Concept Videos

Alzheimer's Disease: Overview01:26

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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.
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Alzheimer's Disease (AD), a neurodegenerative disorder, is pathologically identified by amyloid plaques and neurofibrillary tangles composed of tau protein. AD pharmacotherapy aims to manage cognitive symptoms, delay disease progression, and treat behavioral symptoms. The treatment is primarily symptomatic and palliative, with no definitive disease-modifying therapy available. Cholinesterase inhibitors, including donepezil (Aricept), rivastigmine (Exelon), and galantamine (Razadyne), are...
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Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans
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    Summary
    This summary is machine-generated.

    Electroencephalography (EEG) may help diagnose Alzheimer's disease (AD). Patients with AD show reduced alpha desynchronization, indicating altered brain connectivity, which could be an early diagnostic biomarker.

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    Area of Science:

    • Neuroscience
    • Medical Imaging
    • Biomarkers

    Background:

    • Alzheimer's disease (AD) is a common dementia with no cure, necessitating early diagnosis for intervention.
    • Electroencephalography (EEG) measures brain activity and shows potential for early AD detection.
    • Previous research linked decreased alpha-band energy in EEG to reduced synchronization during state transitions.

    Purpose of the Study:

    • To investigate alpha desynchronization in Alzheimer's disease using EEG.
    • To explore the utility of EEG alpha-band coherence as an index of functional connectivity in AD.
    • To compare alpha desynchronization patterns between AD patients and healthy controls.

    Main Methods:

    • Utilized electroencephalography (EEG) to record brain activity.
    • Analyzed alpha-band energy and coherence during eyes-open and eyes-closed conditions.
    • Compared EEG metrics between a group of Alzheimer's disease patients and a normal control group.

    Main Results:

    • The Alzheimer's disease group exhibited lower alpha-band energy compared to controls.
    • Reduced alpha-band coherence was observed in the AD group, suggesting impaired functional connectivity.
    • Diminished alpha desynchronization was a key finding in patients with Alzheimer's disease.

    Conclusions:

    • Alzheimer's disease is associated with significantly reduced alpha desynchronization.
    • EEG alpha-band coherence and energy alterations may reflect AD pathology-related functional connectivity changes.
    • Diminished alpha desynchronization presents a potential biomarker for the early diagnosis of Alzheimer's disease.