The HD-SC project generated a set of behavioural, molecular, structural, and functional data that collectively advance the understanding of how the superior colliculus (SC) contributes to Huntington’s disease. By examining multiple disease stages and integrating automated behavioural quantification with histological and circuit-level measurements, the project provides new insights into the early mechanisms underlying sensorimotor dysfunction.
The behavioural studies revealed that SC-dependent defensive responses change progressively across disease development. Using optimised testing paradigms, the project detected early alterations in specific visuomotor reactions and spontaneous behaviours in the R6/1 model. Newly implemented AI-based algorithms enabled automated detection of rearing, grooming, escape, avoidance, and approach, and tolerance, ensuring reproducible and high-throughput behavioural analysis. These results show that subtle SC-related deficits emerge earlier than previously reported, helping to pinpoint the onset of functional impairment.
Complementary molecular and structural analyses provided further evidence of stage-dependent changes in the SC. Tissue processing pipelines were optimised for a broad set of synaptic and neuronal markers, including those related to glutamatergic, GABAergic, cholinergic, and pre/post-synaptic signalling. Preliminary findings indicate alterations in synaptic organisation that evolve with disease progression, suggesting that cellular and structural changes may precede or accompany behavioural symptoms. By integrating molecular signatures with behavioural metrics, the project established a multi-level timeline of SC dysfunction in this model.
Fibre photometry recordings from medial and lateral SC regions offered technical and conceptual advances. Although region-specific differences were not detected under the stimuli used in this reporting period, the project identified sex-dependent variability in calcium responses. The optimisation of stereotaxic coordinates, viral delivery, fibre placement, and analytical workflows forms a strong methodological foundation for subsequent phases.
Work related to SC neuromodulation, originally planned for the final work package, highlighted important translational opportunities. Due to the extended time required to finalise full SC functional mapping, phytochrome-based modulation could not yet be initiated in the SC. However, parallel progress in the major SC afferent—the M2 motor cortex—demonstrated that photoactivated adenylyl cyclase can modulate cAMP signalling and influence behavioural outcomes in the HD model. These findings, published in iScience (2025) with contributions from the project, provide essential mechanistic insights that will directly support the next steps once SC circuit datasets are complete.
Overall, the project has produced several impactful outcomes:
• Identification of early SC-dependent behavioural impairments using high-precision and AI-enhanced analysis tools.
• Detection of disease-stage-specific molecular and synaptic changes in the SC.
• Establishment of reliable technical platforms for fibre photometry in the superior colliculus.
• Recognition of sex-specific variability that will improve the accuracy of future SC mapping.
• Generation of an integrated dataset linking behavioural, molecular, and circuit-level signatures of SC dysfunction in Huntington’s disease.
These advances have significant potential to influence future research directions. The integrated dataset created by the project can serve as a foundation for identifying early biomarkers and developing targeted circuit-based interventions. It also contributes to a broader scientific shift toward understanding early and region-specific contributions to neurodegenerative disorders. To ensure further uptake and maximise the project’s impact, several key needs have been identified:
• Further research and validation: Completing SC circuit mapping and expanding analyses to additional behavioural contexts will be essential for confirming early biomarkers.
• Advanced neuromodulation studies: Finalising WP3 will allow systematic testing of whether precise modulation of SC networks can reduce behavioural deficits.
• Technical refinement: Continued development of automated behavioural and imaging pipelines will improve sensitivity and reproducibility.
• Data sharing and interoperability: Open access to curated behavioural, molecular, and photometry datasets will accelerate comparisons across models and laboratories.
• Regulatory and gender-inclusive frameworks: Ensuring balanced sex representation and considering regulatory aspects in future neuromodulation strategies will strengthen translational potential.
The HD-SC project has therefore established a strong scientific and technical basis for future developments aimed at early detection and targeted modulation of SC circuits in Huntington’s disease.