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Timothy Lawn

3 papers in the library · 49 citations · publishing 2022-2026

Papers

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Spatial collinearity constrains multivariate molecular-enriched network estimation.

bioRxiv : the preprint server for biology June 12, 2026 Timothy Lawn, Johan Nakuci, Steve Cr Williams et al.

Analyses of neuroimaging data increasingly leverage the distribution of neurotransmitter receptors derived from Positron Emission Tomography (PET) to bridge the gap between micro- and macro-scale brain function. However, these receptor maps are highly spatially overlapping which can give rise to interpretive and analytical challenges. Here, we systematically investigate the impact of spatial...

Differential contributions of serotonergic and dopaminergic functional connectivity to the phenomenology of LSD

Psychopharmacology March 24, 2022 Timothy Lawn, Ottavia Dipasquale, Alexandros Vamvakas et al. 48 citations

Abstract Rationale LSD is the prototypical psychedelic. Despite a clear central role of the 5HT 2a receptor in its mechanism of action, the contributions of additional receptors for which it shows affinity and agonist activity remain unclear. Objectives We employed receptor-enriched analysis of functional connectivity by targets (REACT) to explore differences in functional connectivity (FC)...

Accurate and Interpretable Prediction of Antidepressant Treatment Response from Receptor-informed Neuroimaging

bioRxiv (Cold Spring Harbor Laboratory) Hanna M. Tolle, Andrea I. Luppi, Timothy Lawn et al. 1 citation preprint

Conventional antidepressants show moderate efficacy in treating major depressive disorder. Psychedelic-assisted therapy holds promise, yet individual responses vary, underscoring the need for predictive tools to guide treatment selection. Here, we present graphTRIP (graph-based Treatment Response Interpretability and Prediction) – a geometric deep learning architecture that enables three...