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Structural But Not Functional Connectivity Differences within Default Mode Network Indicate Conversion to Dementia.

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  • 1Neuropsychology and Functional Neuroimaging Group, Department of Basic and Clinical Psychology and Psychobiology, University Jaume I, Castelló, Spain.

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Summary
This summary is machine-generated.

Structural differences in the default mode network (DMN) distinguish individuals with mild cognitive impairment who convert to Alzheimer's disease (AD) from those who do not. These findings suggest structural brain changes are key indicators for AD progression.

Keywords:
Atrophydefault mode networkdementiafunctional MRImild cognitive impairment

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Area of Science:

  • Neuroscience
  • Neurology
  • Medical Imaging

Background:

  • The default mode network (DMN) is implicated in mild cognitive impairment (MCI) and Alzheimer's disease (AD).
  • Distinguishing between MCI converters (MCI-c) and non-converters (MCI-nc) is crucial for predicting AD progression, but DMN differences remain unclear.

Purpose of the Study:

  • To comprehensively investigate the DMN across the Alzheimer's disease (AD) continuum using multimodal approaches.
  • To identify specific DMN alterations that differentiate MCI converters from non-converters.

Main Methods:

  • Examined gray matter (GM) volume, white matter (WM) integrity, and resting-state functional connectivity (FC) in controls, MCI-c, MCI-nc, and AD patients.
  • Utilized multimodal neuroimaging techniques to assess structural and functional DMN characteristics.

Main Results:

  • Significant structural DMN differences were observed between AD patients and controls.
  • MCI-c showed distinct GM volumes (parahippocampus, hippocampi, middle frontal gyri) and WM integrity (parahippocampal cingulum) compared to MCI-nc.
  • Structural measures demonstrated high accuracy in discriminating between MCI converters and non-converters, correlating with neuropsychological status. No significant FC differences were found.

Conclusions:

  • Abnormalities within the DMN are strongly associated with Alzheimer's disease.
  • Structural neuroimaging markers, specifically GM volume and WM integrity in key DMN regions, show greater potential than resting-state FC for predicting MCI to AD conversion.