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Related Experiment Video

Updated: May 10, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

[Network analyses in neuroimaging studies].

Shigeki Hirano1, Makiko Yamada

  • 1Department of Neurology, Graduate School of Medicine, Chiba Univeisity, Japan.

Brain and Nerve = Shinkei Kenkyu No Shinpo
|June 6, 2013
PubMed
Summary
This summary is machine-generated.

Network analyses in functional neuroimaging reveal brain networks crucial for neurodegenerative diseases like Alzheimer's and Parkinson's. These networks offer diagnostic potential and insights into disease mechanisms.

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Last Updated: May 10, 2026

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Area of Science:

  • Neuroimaging
  • Network Neuroscience
  • Neurodegenerative Diseases

Context:

  • Neuronal connections underpin brain function.
  • Functional neuroimaging network analyses detect neural networks implicated in neurodegenerative diseases.
  • Voxel-based network analysis methods include principal component analysis, independent component analysis, and seed-based analysis.

Purpose:

  • To describe methods for detecting disease-specific brain networks using functional neuroimaging.
  • To highlight the role of network analyses in understanding neurodegenerative conditions.
  • To discuss the identification and application of brain networks in Parkinson's disease and Alzheimer's disease.

Summary:

  • Disease- and symptom-specific brain networks identified via glucose metabolism imaging in Parkinson's disease patients serve as diagnostic tools and biomarkers.
  • The default mode network, comprising hub regions like the posterior cingulate cortex, is disrupted in preclinical Alzheimer's disease and linked to amyloid deposition.
  • Inconsistent findings regarding default mode network impairment in Parkinson's disease may stem from variations in pharmacological status, dopaminergic deficits, and amyloid presence.

Impact:

  • Identified brain networks enable objective patient evaluation and serve as biomarkers for therapeutic interventions.
  • Understanding network disruptions in diseases like Alzheimer's and Parkinson's offers insights into pathomechanisms.
  • Future neuroimaging network analyses promise to uncover novel findings in neurological and psychiatric disorders.