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The Wang Lab is focused on developing novel quantitative MRI techniques and analysis methods.

Wang Lab

The Laboratory of Nian Wang, PhD, is focused on developing novel quantitative MRI techniques and analysis methods on CNS and musculoskeletal system. The research group has developed advanced MRI techniques to detect the early change of Multiple Sclerosis, Alzheimer’s disease, and ASD, including UTE, multi-component T2*, quantitative susceptibility mapping (QSM) and compressed sensing for high-resolution diffusion MRI.

Research Updates

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Cover Articles

     

News/Press Releases

Gallery

Videos

HUman Brain Tractography

Human Brain tractography using diffusion MRI. 

LIGament Tractography

Rat Ligaments tractography using high-resolution diffusion MRI.

Mouse Brain Tractography

Mouse Brain tractography using high-resolution diffusion MRI

Mouse Heart Tractography

Mouse Heart tractography using high-resolution diffusion MRI

Active Research

Diffusion tensor histology holds great promise for quantitative characterization of structural connectivity in mouse models of neurological and psychiatric conditions. We describe here a method for accelerating the acquisition of diffusion MRI data to support quantitative connectivity measurements in the whole mouse brain using compressed sensing (CS). The use of CS allows substantial increase in spatial resolution and/or reduction in scan time. Compared to the fully sampled results at the same scan time, the subtle anatomical details of the brain, such as cortical layers, dentate gyrus, and cerebellum were better visualized using CS due to the higher spatial resolution. Compared to the fully sampled results at the same spatial resolution, the scalar diffusion metrics showed consistently low error across the whole brain even with 8.0 times acceleration. The acceleration will enable routine application of this technology to a wide range of mouse models of neurologic diseases.

Diagram outlining the process of compressed sensing for high-resolution diffusion MRI

Research Team

a headshot of Adrienne Gaughhan

Adrienne Gaughan

IMPRS Student

a headshot of Liu Zhuoheng

Zhuoheng Liu

PhD Student

IU School of Medicine Logo

Angel Simileoluwa Ademodi

LHSI Student

MURI Program Students
Sai Vardhan Reddy Gouravaram
Sushumna Chiluveru
Yuva Naga Yasaswini Garneni
Saksham Gupta 
Arshia Joshi
Sravan Kumar Gadipudi 

Capstone in BME Students 
Rebecca Orvis
Emily Jean Hine
Austyne Michele Taylor
Nathan S Wagner

 


Lab Alumni

Megan Jewett

Samuel Olubakinde

Abigail Wallace 

Research Grants/Awards

Ralph W. and Grace M. Showalter Research Award, Wang (PI), 2023-2024 
Imaging Brain Connectome and Neuropathology of AD at Microscopic Resolution

2023 GRANT LINKING UNIVERSITYWIDE EXPERTISE (GLUE), Norbert Hajos (PI) & Wang (Co-PI), 2023-2025
Brain-wide changes in connectome upon amygdala-driven epileptic seizures

Research Project, Duke University, Wang (PI), 2019-2020
Quantification of Knee Degradation using High Resolution Diffusion MRI

MURI Award, IUPUI, Wang (PI), 2022-2023
Integrating 3D Printing, Magnetic Resonance Imaging, and Data Visualization for Chronic Kidney Disease Detection

AD Pre-Clinical Translational Science Grant, Wang (PI), 2022-2023
Quantify ALZ-801 Effect on Whole Brain Beta-amyloid Removal and Connectivity Recovery in 5xFAD and SAA Mice Using High-resolution MRI

Indiana Center for Diabetes and Metabolic Diseases Pilot and Feasibility Grant, Wang (PI), 2022-2023 
Whole Brain Connectivity Alterations in Metabolic Syndrome Swine Using High-resolution Magnetic Resonance Imaging

R01 NS125020, NIH, Wang (PI), 2022-2027
Characterization of Whole Brain Demyelination and Axon Damage Using High-resolution Magnetic Resonance Imaging

Recent Publications

Wang N*, Maharjan S, Tsai PA, Lin BP, Qi Y, Wallace A, Jewett M, Liu F, Landreth EG, Oblak LA.  “Integrating Multimodality MRI to Allen Mouse Brain Common Coordinate Framework”, NMR in Biomedicine, 2023, e4887 (Cover Art)

Johnson GA, Tian YQ, Ashbrook GD, Cofer PG, Cook JJ, Gee CJ, Hall A, Hornburg K, Qi Y, Yeh FC, Wang N, White EL, Williams WR. “Merged magnetic resonance and light sheet microscopy of the whole mouse brain”, Proceedings of the National Academy of Sciences, 2023, e2218617120

Opportunities

We are actively looking for candidates who are self-motivated, passionate about brain structure and function, interested in Neuroimaging and Neurodegenerative diseases. For rotation students and PhD student, experience in MRI and/or image processing is useful but not essential. Postdoc applicants must have (or expect to receive) a PhD, MD, or MD/PhD degree. Prior experience in either 1) MRI pulse sequence development, image reconstruction, or imaging data analysis; or 2) neurodegenerative disease models, such as Alzheimer’s disease, Multiple Sclerosis, and autism spectrum disorder. To apply, please send a single email containing you CV, a short statement describing your qualifications for this position and research interests, as well as contact information for three references to Dr. Nian Wang at nianwang@iu.edu.