Josiah K. Leong Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Biostatistician

University of Arkansas at Fayetteville

faculty

11 h-index 34 pubs 464 cited

Research Areas

Neuroscience and Neuropharmacology Research Behavioral and Psychological Studies Substance Abuse Treatment and Outcomes Child and Adolescent Psychosocial and Emotional Development Medical Imaging Techniques and Applications Functional Brain Connectivity Studies Bioinformatics and Genomic Networks

Links

ORCID Lab Website

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OverviewAI-generated summary

Josiah K. Leong's research focuses on the application of biostatistical methods to neuroscience and behavioral studies. His work investigates the relationship between brain structure and function, particularly in the context of addiction, impulsivity, and psychosocial development. Leong has contributed to studies examining structural projections within the brain and their links to human risk preference and the prediction of relapse to stimulant drug use. He has also participated in research exploring the radiogenomics of genetic expansion carriers, revealing connections between genetic factors and neurological impairment. Additionally, Leong has been involved in the development of open-source platforms for neuroscience research, aiming to enhance data sharing and collaboration within the field. His scholarly contributions include 34 publications, with an h-index of 11 and 464 citations.

Metrics

h-index: 11
Publications: 34
Citations: 464

Selected Publications

Lifetime Stressor Exposure Profiles and Trait Risk for Substance Use in Young Adults (2026) DOI
Structural projections to the nucleus accumbens link to impulsive components of human risk preference (2024) DOI
A Virtual In Vivo Dissection and Analysis of Socioaffective Symptoms Related to Cerebellum-Midbrain Reward Circuitry in Humans (2024) DOI
Author Correction: brainlife.io: a decentralized and open-source cloud platform to support neuroscience research (2024) DOI
Sex-Specific Vulnerability to Externalizing Problems: Sensitivity to Early Stress and Nucleus Accumbens Activation Over Adolescence (2024) DOI
brainlife.io: a decentralized and open-source cloud platform to support neuroscience research (2024) DOI
An in vivo Dissection, and Analysis of Socio-Affective Symptoms related to Cerebellum-Midbrain Reward Circuitry in Humans (2023) DOI
Radiogenomics ofC9orf72Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment (2022) DOI
Radiogenomics of C9orf72 expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment (2022) DOI
Brain tract structure predicts relapse to stimulant drug use (2022) DOI