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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Inhibition-Biased Pruning and Cognitive Reserve Amplification in Bipolar Disorder: A Computational Framework with Insights into Glutamatergic Therapeutics

Authors: Cheung, Ngo;

Inhibition-Biased Pruning and Cognitive Reserve Amplification in Bipolar Disorder: A Computational Framework with Insights into Glutamatergic Therapeutics

Abstract

Background: Bipolar disorder (BD) and major depressive disorder (MDD) share genetic overlaps in synaptic and immune pathways, yet differ markedly in clinical course—persistent deficits in MDD versus episodic instability in BD. Emerging evidence implicates excessive synaptic pruning as a core mechanism, with recent genetic analyses suggesting inhibition-biased pruning and cognitive reserve amplification drive BD-specific manic vulnerability. Computational models are needed to mechanistically test these hypotheses and evaluate plasticity-enhancing treatments, such as ketamine, which carry differential risks across disorders. Methods: We developed a gated recurrent unit (GRU)-based neural network simulation to model pruning phenotypes. MDD was induced via severe (95%), unbiased magnitude pruning; BD variants used moderate sparsity (75–85%) with inhibition bias (1.3–2.0). Cognitive reserve was modulated as a hidden-state scalar, and stress as additive noise. Plasticity treatment was simulated through iterative gradient-guided regrowth (0.4 fraction) and fine-tuning (up to 10 cycles). Outcomes included accuracy, stress resilience, excitation/inhibition (E/I) ratios, and instability metrics (variance under sustained drive). Relapse vulnerability was tested via additional pruning (depressive) or reserve amplification (manic). Results: Post-pruning, MDD networks showed profound accuracy collapse under stress (27.1% resilience) with balanced E/I (1.02) and low manic variance. BD phenotypes retained baseline accuracy and superior stress resilience (77.9–86.7%) but exhibited reduced E/I (0.09–0.32) and elevated manic variance. Chronic treatment restored full function across phenotypes, with BD models showing progressive E/I normalization (e.g., 0.22 to 0.77 in BD-classic). Acute treatment prevented depressive relapse but transiently increased manic variance; chronic regimens provided dual protection. Conclusions: This recurrent simulation supports a unified pruning framework where inhibition-biased moderate pruning yields "pruned-but-potent" circuits prone to manic escalation under reserve load, distinguishing BD from MDD's capacity-loss phenotype. Chronic, iterative plasticity enhancement emerges as superior for BD stability, offering mechanistic rationale for cautious use of rapid-acting glutamatergic agents and emphasizing maintenance therapy.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green