Sorry I couldn’t make it open access ! Please give me your email address.

Lastly, we thank the editors and reviewers of @biologicalpsych.bsky.social for their thoughtful feedback and constructive suggestions!

🙏This work was only possible thanks to the support of our amazing former and current team members at Yale Psychiatry, Jie Lisa Ji, Markus Helmer, John D Murray, John Krystal, and Alan Anticevic.

Thank you for your attention!

✅ By integrating genetics, biology to neural mechanisms, and ultimately to brain circuits and symptoms, we outline how imaging could guide personalized treatments for psychiatric disorders in a causal framework.

✅ We posit that the failure to operate within a formalism that defines falsifiable parameters may have hindered progress.

✅ In this ambitious and exciting piece, we argue that the field of psychiatric neuroimaging is moving towards local optima, and propose a new approach that models the dynamics of disease mechanism complexity.

⚡️ My recent NIH proposal (1K01MH137379-01A1) received an impact score of 38, and its resubmission (1K01MH142847-01), Densely Sampled Longitudinal Mapping of Neuro-symptom Variability in Schizophrenia, is pending IRG review. 4/N

⚡️Using quantitative approaches (e.g. dimensionality reduction, multivariate and ML-driven methods), I conduct multimodal neuroimaging studies with longitudinal phenotyping and computational modelling and neuroinformatics to establish reproducible brain-behavior associations. 3/N

⚡️I use precision functional and anatomical neuroimaging measurements in humans (functional / diffusion MRI, EEG, and PET) and integrate longitudinal assessments and time-series analyses to identify neural circuit abnormalities underlying psychiatric symptoms. 2/N