J
Josiah K. Leong Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Biostatistician
faculty
11 h-index
35 pubs
489 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Josiah K. Leong's research focuses on the application of biostatistical methods to neuroscience, particularly in areas related to brain structure, function, and behavior. His work has investigated the relationship between brain imaging data, such as magnetic resonance imaging, and various behavioral outcomes, including risk preference, externalizing problems, and relapse to stimulant drug use. Leong has contributed to studies examining specific brain regions like the nucleus accumbens and white matter, and their roles in human behavior across different age groups, from adolescence to adulthood.
He has also been involved in projects developing and utilizing computational platforms for neuroscience research, such as the brainlife.io cloud platform. His publications explore topics including the radiogenomics of genetic expansion carriers, the prediction of thalamic atrophy, and the analysis of socioaffective symptoms related to reward circuitry. Leong's scholarship metrics include an h-index of 11 with 34 publications and 470 citations. He has collaborated with researchers like Zach J. Gray and Jennifer C. Veilleux at the University of Arkansas at Fayetteville.
Metrics
- h-index: 11
- Publications: 35
- Citations: 489
Selected Publications
-
Lifetime Stressor Exposure Profiles and Trait Risk for Substance Use in Young Adults (2026)
-
Structural projections to the nucleus accumbens link to impulsive components of human risk preference (2024)
-
A Virtual In Vivo Dissection and Analysis of Socioaffective Symptoms Related to Cerebellum-Midbrain Reward Circuitry in Humans (2024)
-
Author Correction: brainlife.io: a decentralized and open-source cloud platform to support neuroscience research (2024)
-
Sex-Specific Vulnerability to Externalizing Problems: Sensitivity to Early Stress and Nucleus Accumbens Activation Over Adolescence (2024)
-
brainlife.io: a decentralized and open-source cloud platform to support neuroscience research (2024)
-
An <i>in vivo</i> Dissection, and Analysis of Socio-Affective Symptoms related to Cerebellum-Midbrain Reward Circuitry in Humans (2023)
-
Radiogenomics of<i>C9orf72</i>Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment (2022)
-
Radiogenomics of <i>C9orf72</i> expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment (2022)
-
Brain tract structure predicts relapse to stimulant drug use (2022)
Collaboration Network
Top Collaborators
Loreen Tisdall
University of Basel (CH)
3 shared publications
- Brain tract structure predicts relapse to stimulant drug use
- Structural projections to the nucleus accumbens link to impulsive components of human risk preference
- Structure of connections to the nucleus accumbens link to specific but not general measures of human risk preference
Brian Knutson
Stanford University (US)
3 shared publications
- Brain tract structure predicts relapse to stimulant drug use
- Structural projections to the nucleus accumbens link to impulsive components of human risk preference
- Structure of connections to the nucleus accumbens link to specific but not general measures of human risk preference
Zach J. Gray
3 shared publications
In database
- Lifetime Stressor Exposure Profiles and Trait Risk for Substance Use in Young Adults
- Lifetime Stressor Exposure Profiles and Trait Risk for Substance Use in Young Adults
- Lifetime Stressor Exposure Profiles and Trait Risk for Substance Use in Young Adults
Jennifer C. Veilleux
3 shared publications
In database
- Lifetime Stressor Exposure Profiles and Trait Risk for Substance Use in Young Adults
- Lifetime Stressor Exposure Profiles and Trait Risk for Substance Use in Young Adults
- Lifetime Stressor Exposure Profiles and Trait Risk for Substance Use in Young Adults
Grant S. Shields
3 shared publications
- Lifetime Stressor Exposure Profiles and Trait Risk for Substance Use in Young Adults
- Lifetime Stressor Exposure Profiles and Trait Risk for Substance Use in Young Adults
- Lifetime Stressor Exposure Profiles and Trait Risk for Substance Use in Young Adults
Kelly H. MacNiven
2 shared publications
- Brain tract structure predicts relapse to stimulant drug use
- Structure of connections to the nucleus accumbens link to specific but not general measures of human risk preference
Luke W. Bonham
University of California, San Francisco (US)
2 shared publications
- Radiogenomics of<i>C9orf72</i>Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of <i>C9orf72</i> expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Ethan G. Geier
University of California, San Francisco (US)
2 shared publications
- Radiogenomics of<i>C9orf72</i>Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of <i>C9orf72</i> expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Daniel W. Sirkis
University of California, San Francisco (US)
2 shared publications
- Radiogenomics of<i>C9orf72</i>Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of <i>C9orf72</i> expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Eliana Marisa Ramos
University of California, Los Angeles (US)
2 shared publications
- Radiogenomics of<i>C9orf72</i>Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of <i>C9orf72</i> expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Qing Wang
University of California, Los Angeles (US)
2 shared publications
- Radiogenomics of<i>C9orf72</i>Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of <i>C9orf72</i> expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Anna Karydas
University of California, San Francisco (US)
2 shared publications
- Radiogenomics of<i>C9orf72</i>Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of <i>C9orf72</i> expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Suzee E. Lee
University of California, San Francisco (US)
2 shared publications
- Radiogenomics of<i>C9orf72</i>Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of <i>C9orf72</i> expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Virginia E. Sturm
Global Brain Health Institute (US)
2 shared publications
- Radiogenomics of<i>C9orf72</i>Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of <i>C9orf72</i> expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Russell P. Sawyer
University of Cincinnati Medical Center (US)
2 shared publications
- Radiogenomics of<i>C9orf72</i>Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of <i>C9orf72</i> expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Similar Researchers
Based on overlapping research topics
Allison Kuehn
University of Arkansas for Medical Sciences
Neuroscience and Neuropharmacology Research
Medical Imaging Techniques and Applications
Behavioral and Psychological Studies
Damon Lipinski
University of Arkansas at Fayetteville
Neuroscience and Neuropharmacology Research
Behavioral and Psychological Studies
Child and Adolescent Health
Ashley Acheson
University of Arkansas for Medical Sciences
Neuroscience and Neuropharmacology Research
Medical Imaging Techniques and Applications
Behavioral and Psychological Studies
Corneliu Bolbocean
University of Arkansas for Medical Sciences
Neuroscience and Neuropharmacology Research
Behavioral and Psychological Studies
Child and Adolescent Health
G. Andrew James
University of Arkansas for Medical Sciences
Neuroscience and Neuropharmacology Research
Medical Imaging Techniques and Applications
Behavioral and Psychological Studies
Lindsey Morrison
University of Arkansas for Medical Sciences
Neuroscience and Neuropharmacology Research
Behavioral and Psychological Studies
Child and Adolescent Health