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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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The cerebellum, while traditionally associated with motor control, also plays a crucial role in memory, particularly in procedural memory, which involves learning motor tasks that become automatic through repetition. For example, studies have shown that when the cerebellum is damaged, individuals or animals lose the ability to learn conditioned motor responses, such as the conditioned eye-blink response in classical conditioning experiments with rabbits. This study demonstrates the...
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Related Experiment Video

Updated: Nov 23, 2025

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
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Posterior Cingulate Cortex Network Predicts Alzheimer's Disease Progression.

Pei-Lin Lee1, Kun-Hsien Chou1,2, Chih-Ping Chung3,4

  • 1Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan.

Frontiers in Aging Neuroscience
|January 1, 2021
PubMed
Summary
This summary is machine-generated.

Alzheimer's disease (AD) progression is linked to specific brain networks. The posterior cingulate cortex network (PCC-SDN) showed a stronger association with disease advancement and cognitive decline than the hippocampus network.

Keywords:
Alzheimer's diseasehippocampusmild cognitive impairmentposterior cingulate cortexstructural covariance networksynchronized degeneration network

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Area of Science:

  • Neuroscience
  • Neurology
  • Radiology

Background:

  • Alzheimer's disease (AD) is a progressive neurodegenerative disorder linked to toxic protein accumulation propagating through brain networks.
  • Previous studies identified potential AD epicenters and networks, but their association with disease progression remained unclear.
  • Understanding early-stage AD pathophysiology and network involvement is crucial for developing effective interventions.

Purpose of the Study:

  • To identify vulnerable brain epicenters and large-scale structural networks in early Alzheimer's disease (AD).
  • To evaluate the association of these networks with disease progression and cognitive decline using a longitudinal design.
  • To investigate the role of network degeneration in AD pathophysiology.

Main Methods:

  • Longitudinal study involving 23 AD patients, 37 amnestic mild cognitive impairment (MCI) patients, and 33 healthy controls (HC) over 3 years.
  • Annual MRI and neuropsychological assessments were conducted.
  • Candidate epicenters were identified by gray matter volume (GMV) decline rates in MCI patients who progressed to AD; synchronized degeneration networks (SDNs) were mapped in HCs.

Main Results:

  • Hippocampus and posterior cingulate cortex (PCC) identified as vulnerable AD-associated epicenters.
  • The PCC-synchronized degeneration network (PCC-SDN) showed significant spatial association with GMV atrophy rates, particularly in advanced AD stages.
  • Higher GMV atrophy rates in the PCC-SDN correlated with faster decline in multiple cognitive domains.

Conclusions:

  • The PCC and hippocampus are early vulnerable regions in Alzheimer's disease (AD) pathophysiology.
  • The PCC-SDN, not the hippocampus-SDN, demonstrated a closer association with AD progression.
  • Findings offer insights into AD pathophysiology from a large-scale network perspective, highlighting the PCC-SDN's role in disease advancement.