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Preprints
Preprints
Preprints
Preprints are early versions of research papers shared publicly before peer review
The impact of localization and registration accuracy on estimates of deep brain stimulation electrode position in stereotactic space (2024)
This study examined the effects of misregistration on electrode position in deep brain stimulation (DBS) by using the AFIDs framework to measure registration accuracy in patient scans. AFID registration errors (AFREs) revealed spatial patterns of misregistration that accounted for 28% of the variance in electrode position, highlighting AFIDs as a valuable tool for assessing registration accuracy, quality control, and optimization in DBS research.
Investigating the polygenic relationship between cannabis use and schizophrenia in the All of Us research program (2025)
This study investigated the genetic relationship between cannabis use and schizophrenia using data from the All of Us Research Program. Researchers found that genetic risk for both cannabis use disorder (CUD) and schizophrenia independently contributed to heavy cannabis use and schizophrenia, with evidence of pleiotropy even among individuals without documented cannabis use. These results highlight the importance of incorporating genetic risk for cannabis use in models of schizophrenia to better understand its underlying causes
A mathematical language for linking fine-scale structure in spikes from hundreds to thousands of neurons with behaviour (2025)
This study introduces a novel mathematical method for analyzing complex spike patterns from large-scale neural recordings. By decomposing spike data into simple, structured elements, the approach enables comparison across trials, sub-pattern detection, and links to behavior using a clear distance measure. Applied to macaque motor and prefrontal cortex recordings, the method uncovered previously hidden neural structures that predict memory-guided decisions and errors, offering a powerful new tool for interpreting large-scale neural activity.
Mapping the topographic organization of the human zona incerta using diffusion MRI (2024)
This study examined the topographic organization of the zona incerta (ZI) using in vivo diffusion MRI and data-driven connectivity. The findings revealed a rostral-caudal gradient, with the rostral ZI connecting to prefrontal regions and the caudal ZI connecting to sensorimotor cortices, as well as a central ZI region linked to the dorsal prefrontal cortex. These results, replicated across datasets and individuals, provide insights into the ZI’s role in motor, cognitive, and emotional control, with implications for refining neuromodulatory targets.
Structural covariance of early visual cortex is negatively associated with PTSD symptoms: a mega-analysis from the ENIGMA PTSD workgroup (2025)
This study examined the topographic organization of the zona incerta (ZI) using in vivo diffusion MRI and data-driven connectivity. The findings revealed a rostral-caudal gradient, with the rostral ZI connecting to prefrontal regions and the caudal ZI connecting to sensorimotor cortices, as well as a central ZI region linked to the dorsal prefrontal cortex. These results, replicated across datasets and individuals, provide insights into the ZI’s role in motor, cognitive, and emotional control, with implications for refining neuromodulatory targets.