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Related Experiment Video

Updated: Dec 23, 2025

Single Synapse Indicators of Glutamate Release and Uptake in Acute Brain Slices from Normal and Huntington Mice
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Striatal network modeling in Huntington's Disease.

Adam Ponzi1, Scott J Barton2, Kendra D Bunner2

  • 1IBM Research, Computational Biology Center, Thomas J. Watson Research Laboratories, Yorktown Heights, New York, United States of America.

Plos Computational Biology
|April 18, 2020
PubMed
Summary
This summary is machine-generated.

Huntington's Disease (HD) alters medium spiny neuron (MSN) network dynamics, shifting from coherent activity to chaotic firing. This study models MSN networks to reveal HD-related changes, offering insights into symptoms and potential treatments.

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Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Medium spiny neurons (MSNs) are the primary cell type in the striatum, crucial for action sequence learning.
  • In vivo, MSNs exhibit coordinated burst firing, yet lack intrinsic bursting, suggesting network-level mechanisms.
  • This activity is impaired in Huntington's Disease (HD), but the underlying neural circuit alterations remain unclear.

Purpose of the Study:

  • To investigate the network dynamics of medium spiny neurons (MSNs) in wild-type (WT) and Huntington's Disease (HD) models.
  • To identify specific alterations in MSN network parameters that contribute to HD pathophysiology.
  • To understand how these network changes lead to aberrant neural activity and HD symptoms.

Main Methods:

  • Developed a physiologically detailed MSN network model.
  • Estimated network parameters directly from single-unit spiking data in WT and HD mouse models (YAC128, Q175, R6/2).
  • Analyzed network dynamics and sensitivity to cortical input.

Main Results:

  • The WT MSN network operates near a critical transition, enabling coherent activity and sensitivity to external drive.
  • HD models consistently show reduced feedforward excitation and altered recurrent inhibition compared to WT.
  • These parameter changes shift the HD MSN network to a regime dominated by high-dimensional, incoherent, fluctuating activity.

Conclusions:

  • HD-induced changes in MSN network parameters disrupt normal neural dynamics, leading to aberrant activity patterns.
  • The findings provide a mechanistic link between MSN network dysfunction and HD's cognitive and motor symptoms.
  • This research may guide the development of novel therapeutic strategies for Huntington's Disease.