Project Proposals
Ongoing Projects (19)
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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- Scott Mackey/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.
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- 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.
Completed Projects
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PI- Dan Stein: Brain-age gap in substance dependence.
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- Garavan/Mackey: Graph theoretical summary of structural covariance in substance dependence.
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PI- Garavan/Mackey/Cao: Substance Use Disorder Related Structural Brain Asymmetries.
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PI- Valentina Lorenzetti: Sex differences in the neuroanatomy of alcohol dependence: a focus on hippocampal subregions and amygdala nuclei.
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PI- Edyth London: Sex differences in cortical thickness of cigarette smokers.
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PI- Anne Lingford-Hughes: Structural Covariance Network Changes in Alcohol Dependence/Abstinent.
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PI- Bernice Porjesz: Multi-modal deep learning AUD classifiers on structural voxel-based morphometry and resting state fMRI phenotypes with age/sex-specific modeling.
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PI- Valentina Lorenzetti: Investigating the independent, and interactive roles of sex, and dependence, on hippocampal and amygdala subregions in cannabis users: Findings from a multi-site study from the ENIGMA Addiction Working Group.
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PI- Patricia Conrod: Using Deep learning classification to highlight general markers of illicit substance use and specific of markers cannabis use.