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Published on: March 11, 2020
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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
Summary
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.
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.

