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Project Proposals

Ongoing Projects (23)

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PI- Hajar Mahdavi-Doost/Hamed Ekhtiari: Predicting Subjective Response to Drug Cues based on Objective fMRI Drug Cue Reactivity Data using Machine Learning

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PI- Sarah Yip: Translating brain-based predictive models of substance use-linked behaviors from big to small data

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PI- Liam Nestor: The Examination of Shared and Divergent Grey Matter Connectivity in Substance Using Groups: A Structural Connectomics Approach.

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PI- Ghazaleh Soleimani/Hamed Ekhtiari: Development of personalized, reliable, generalizable, and valid neuromodulation targeting biomarkers in addiction.

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PI- Danielle Kurtin: Identifying generalizable and substance-distinct neural correlates of substance (mis)use and dependence through brain connectivity and dynamics.

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PI- Freda Scheffler: Mega-analysis of neural correlates in alcohol use disorder.

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PI- Antonio Verdejo-Garcia: Use generative modelling to identify neural-network subtypes from resting-state and cue-reactivity data in people with alcohol use disorder.

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PI- Valarie Voon/Ying Zhao: Project proposal on anatomical subtype and trajectories in addiction.

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PI- Zhipeng Cao: Exploring the MIND in Substance Dependence: Individual Similarity Networks Analysis by the ENIGMA-Addiction Working Group.

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PI- Xiaochu Zhang: Utilize the eigenmodes generated from the brain geometry (using T1 structural data) to explore the similarities and differences in brain activity patterns (using Resting-state data) among three substantial additions (nicotine, alcohol, and cocaine).

Cormorant Garamond is a classic font with a modern twist. It's easy to read on screens of every shape and size, and perfect for long blocks of text.

PI- Jinbo Bi: Explanation methods for the deep learning models and interpretable GNN.

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PI- Anthony Juliano: Graph theory metrics of resting state FC for multiple substance use disorders.

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PI- Kirsten Morley: Comorbidity Addiction PTSD.

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PI- Pablo Villoslada: Checking SUD locations.

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PI- Vince Calhoun: Cocaine related structural differences assessed by COINSTAC.

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PI- Zilverstand/Ekhtiari: Cue reactivity fMRI.

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PI- Rachel Rabin: Investigating the Independent and Interactive Effects of Tobacco and Cannabis Use on Brain Morphology.

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PI- Matthias Kirschner: Network modeling.

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PI- Mackey/Garavan: Machine learning based biotyping.

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PI- Mackey/Garavan: Neural correlates of polygenic risk for cannabis use and cannabis use disorder.

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PI- Sutherland/Laird: Protocol to organize ENIGMA Addiction resting-state fMRI datasets: Effects of substance use disorder on the functional connectivity of the ventral striatum.

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PI- Garza/Lorenzetti/Harding: Cerebellar volumes in substance use disorders.

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PI- Alex Hatoum: Biotyping AUD in the ENIGMA-Addiction datasets using a k-means approach along with other methods.

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