Publications

Year 2026

Rathi G, Gardner A, Longhurst J, Mari Z, Mishra VR+. Machine Learning-Driven Approach to Identify Freezing of Gait in Individuals with Parkinson’s Disease Using Conventional Structural MRI and Clinical Measures. Provisionally Accepted; AJNR AM J Neuroradiol.

Chaurasiya ND, Davis T, Rathi G, Caldwell J, Ritter A, Mari Z, Mishra VR#. Exploring Regional BOLD Fluctuations to Understand the Pathophysiology of Mild Cognitive Impairments in Individuals with Parkinson’s Disease. 2026; Parkinsonism and Related Disorders; doi: https://doi.org/10.1016/j.parkreldis.2026.108177

Year 2025

Conklin SJ, Cavalcanti HM, Almeida LRS, Mishra V, Oliveira-Filho J, Mari Z, Landers MR, Longhurst J. Identifying Gait Characteristics Associated with Freezing of Gait in Parkinson’s disease: an analysis of on and off medication states. 2025; Gait Posture; doi: https://doi.org/10.1016/j.gaitpost.2025.07.323.

Carlson SJ, Chiu Y, Landers MR, Fritz NE, Mishra VR, Longhurst J. Dual-Task Performance and Brain Morphologic Characteristics in Parkinson’s disease. 2025; Neurodegener Dis, doi: https://doi.org/10.1159/000540393.

Year 2024

Boss MA, Malyarenko D, Partridge S, Obuchowski N, Shukla-Dave A, Winfield JM, Fuller CD, Miller K, Mishra V, Ohliger M, Wilmes L, Attariwala R, Andrews T, deSouza NM, Margolis DJ, Chenevert TL. The QIBA Profile for Diffusion-Weighted MRI: Apparent Diffusion Coefficient as a Quantitative Imaging Biomarker; 2024; Radiology, doi: https://doi.org/10.1148/radiol.233055.

Year 2023

Sreenivasan K, Bayram E, Zhuang X, Longhurst J, Yang Z, Cordes D, Ritter A, Caldwell J, Cummings J, Mari Z, Litvan I, Bluett B, and Mishra V. Topological reorganization of functional hubs in patients with Parkinson’s disease with freezing of gait. 2023; J. Neuroimaging, doi: https://doi.org/10.1111/jon.13107.

Year 2022 and prior

Shackleford M, Mishra V, and Mari Z. Levodopa-Carbidopa Intestinal Gel may improve treatment-resistant freezing of gait in Parkinson’s disease. 2022; Clin Park Relat Disord. doi: https://doi.org/10.1016/j.prdoa.2022.100148.

Longhurst JK, Cummings JL, John SE, Poston B, Rider JV, Salazar AM, Mishra VR, Ritter A, Caldwell JZ, Miller JB, Kinney JW, and Landers MR. Dual task performance is associated with amyloidosis in cognitively healthy adults. 2022; J Prev Alzheimers Dis, doi: https://doi.org/10.14283/jpad.2022.1.

Brodrick BB, Adler-Neal AL, Palka JM, Mishra V, Aslan S, and McAdams CJ. Structural brain differences in recovering and weight-recovered adult outpatient women with anorexia nervosa. 2021; J Eat Disord 9, 108, doi: https://doi.org/10.1186/s40337-021-00466-w.

Zhuang X*, Yang Z*, Mishra V, Sreenivasan KR, Bernick C, and Cordes D. Single-scale time-dependent window-sizes in sliding-window dynamic functional connectivity analysis: a validation study. 2020; NeuroImage, 220:117111. doi: https://10.1016/j.neuroimage.2020.117111. *Equal contribution.

Cordes D, Kaleem M, Yang Z, Zhuang X, Curran T, Sreenivasan K, Mishra V, Nandy R, and Walsh R. Energy-Period Profiles of Brain Networks in Group fMRI Resting-State Data: A Comparison of Empirical Mode Decomposition with the Short-Time Fourier Transform and the Discrete Wavelet Transform. 2021; Front Neurosci, doi: https://doi.org/10.3389/fnins.2021.663403.

Zhuang X, Mishra V, Nandy R, Yang Z, Sreenivasan K, Bennett L, Bernick C, and Cordes D. Resting-state static and dynamic functional abnormalities in active professional fighters with repetitive head trauma and with neuropsychological impairments. 2020; Front Neurol, doi: https://doi.org/10.3389/fneur.2020.602586.

Yang Z, Zhuang X, Sreenivasan K, Mishra V, and Cordes D. Disentangling time series between brain tissues improves fMRI data quality using a time-dependent deep neural network. 2020; NeuroImage, 223:117340. doi: https://10.1016/j.neuroimage.2020.117340.

Marquez JS, Hasan SSM, Siddiquee MR, Luca CC, Mishra V, Mari Z, and Bai O. Neural Correlates of Freezing of Gait in Parkinson’s disease: An Electrophysiology Mini-Review. 2020; Front Neurol, doi: https://doi.org/10.3389/fneur.2020.571086.x.

Yang Z, Zhuang X, Mishra V, Sreenivasan K, and Cordes D. CAST: A multi-scale convolutional neural network based automated hippocampal subfield segmentation toolbox. 2020; NeuroImage, 218:116947. doi: https://10.1016/j.neuroimage.2020.116947.

Bergamino M, Keeling EG, Mishra V, Stokes AM, and Walsh RR. Assessing White Matter Pathology in Early-Stage Parkinson Disease Using Diffusion MRI: A Systematic Review. 2020; Front Neurol, 11:314. doi: https://10.3389/fneur.2020.00314.

More Publications
  1. Mishra VR, Sreenivasan KR, Yang Z, Zhuang X, Cordes D, Mari Z, Litvan I, Fernandez H, Eidelberg D, Ritter A, Cummings JL, and Walsh RR. Unique white matter structural connectivity in early stage, drug naïve Parkinson’s disease. 2020; Neurology, 94(8):e774-e784.
  2. Bernick C, Shan G, Zetterberg H, Banks S, Mishra VR, Bekris L, Leverenz JB, and Blennow K. Longitudinal change in regional brain volumes with exposure to repetitive head impacts. 2020; Neurology, 94(3):e232-e240.
  3. Yang Z, Zhuang X, Sreenivasan K, Mishra V, Curran T, and Cordes D. A robust deep neural network for denoising task-based fMRI data: An application to working memory and episodic memory. 2020; Med Image Anal, 60:101622.
  4. Mishra V, Sreenivasan K, Zhuang X, Yang Z, Cordes D, Banks SJ, and Bernick C. Understanding White Matter Structural Connectivity Differences between Cognitively Impaired and Nonimpaired Active Professional Fighters. 2019; Hum. Brain. Mapp, 2019 Dec 1; 40(17):5108-5122.
  5. Mishra V, Sreenivasan K, Zhuang X, Yang Z, Cordes D, and Walsh RR. Influence of analytic techniques on comparing DTI-derived measurements in early stage Parkinson’s disease. 2019; Heliyon 5 (4), e01481.
  6. Brown B, RELISH Consortium (includes Mishra V as one of the authors), and Zhou Y. Large expert-curated database for benchmarking document similarity detection in biomedical literature search. 2019; Database, baz085.
  7. Yang Z, Zhuang X, Curran T, Byrd R, Nandy R, Mishra V, Sreenivasan K, and Cordes D. Performing sparse regularization and dimension reduction simultaneously in multimodal data fusion. 2019; Frontiers in Neuroscience, Jul 3; 13:642.
  8. Zhuang X, Yang Z, Sreenivasan K, Mishra V, Curran T, Nandy R, and Cordes D. Multivariate group-level analysis for task fMRI data with canonical correlation analysis. 2019; NeuroImage, 194, 25-41.
  9. Yang Z, Zhuang X, Sreenivasan K, Mishra V, and Cordes D. Robust motion regression of resting-state data using a convolutional neural network model. 2019; Front. Neurosci-Brain Imaging Methods, 13, 169.
  10. Sreenivasan K, Mishra V, Bird C, Zhuang X, Yang Z, Cordes D, and Walsh RR. Altered functional network topology correlates with clinical measures in very early stage, drug-naïve Parkinson’s disease. 2019; Parkinsonism Relat Disord., 62:3-9.
  11. Ouyang M, Jeon T, Sotiras A, Peng Q, Mishra V, Halovanic C, Chen M, Chalak L, Rollins N, Roberts T, Davatzikos C, and Huang H. Differential cortical microstructural maturation in the preterm human brain with diffusion kurtosis and tensor imaging. 2019; Proc. Natl Acad Sci, 116 (10), 4681-4688.
  12. Feng L, Li H, Oishi K, Mishra V, Song L, Peng Q, Ouyang M, Wang J, Singer M, Jeon T, Lee L, Heyne R, Chalak L, Peng Y, Liu S, and Huang H. Age-specific gray and white matter DTI atlas for human brain at 33, 36 and 39 postmenstrual weeks. 2019; NeuroImage, 185, 685-698.
  13. Zhao T*, Mishra V*, Jeon T, Ouyang M, Peng Q, Chalak L, Wisnowski JL, Heyne R, Rollins N, Shu N, and Huang H. Structural network maturation of the preterm human brain. 2019; NeuroImage, 185, 699-710. *Equal contribution.
  14. Cordes D*, Zhuang X*, Kaleem M, Sreenivasan K, Yang Z, Mishra V, Banks S, Bluett B, and Cummings J. Advances in functional magnetic resonance imaging data analysis methods using Empirical Mode Decomposition to investigate temporal changes in early Parkinson’s disease. 2018; Alz & Dementia: TRCI (4), 372-386. *Equal contribution.
  15. Bluett B, Banks S, Cordes D, Bayram E, Mishra V, Cummings J, and Litvan I. Neuroimaging and neuropsychological assessment of freezing of gait in Parkinson’s disease. 2018; Alz & Dementia: TRCI (4), 387-394.
  16. Zhuang X*, Walsh R*, Sreenivasan K, Yang Z, Mishra V, and Cordes D. Incorporating spatial constraint in co-activation pattern analysis to explore the dynamics of resting-state networks: An application to Parkinson’s disease. 2018; NeuroImage, 172, 64-84. *Equal contribution.
  17. Kang H, Zhang M, Ouyang M, Guo R, Yu Q, Peng Q, Zhang N, Zhang Y, Duan Y, Tang X, Mishra V, Fang F, Li W, Huang H, Peng Y. Brain white matter microstructural alterations in children of type I Gaucher disease characterized with diffusion tensor MR imaging. 2018; European Journal of Radiology, 102, 22-29.
  18. Yang Z, Zhuang X, Sreenivasan K, Mishra V, Curran T, Byrd R, Nandy R, and Cordes D. 3D Spatially-Adaptive Canonical Correlation Analysis: Local and Global Methods. 2018; NeuroImage, 169, 240-255.
  19. Mishra V, Zhuang X, Sreenivasan K, Yang Z, Banks S, Bernick C, and Cordes D. Multimodal MR Imaging Signatures of Cognitive Impairment in Active Professional Fighters. 2017; Radiology, 285, 555-567.
  20. Feng L, Jeon T, Yu Q, Ouyang M, Peng Q, Mishra V, Pletikos M, Sestan N, Miller MI, Mori S, Liu S, and Huang H. Population-averaged macaque brain atlas with high-resolution ex vivo DTI integrated into in vivo space. 2017; Brain Structure and Function, 222(9), 4131-4147.
  21. Song L*, Mishra V*, Ouyang M, Peng Q, Slinger M, Liu S, and Huang H. Human fetal brain connectome: structural network development from middle fetal stage to birth. 2017; Frontiers in Neuroscience, 11, 561. *Equal contribution.
  22. Cordes D, Yang Z, Zhuang X, Sreenivasan K, Mishra V, and Hua Le H. A new algebraic method for quantitative proton density mapping. 2017; Medical Image Analysis, 40, 154-171.
  23. Mishra V, Sreenivasan K, Zhuang X, Yang Z, Banks S, Cordes D, and Bernick C. Investigating structural and perfusion deficits due to repeated head trauma in active professional fighters. 2017; NeuroImage:Clinical, 17, 616-627.
  24. Sreenivasan K, Zhuang X, Banks S, Mishra V, Deshpande G, and Cordes D. Olfactory Network Differences in Master Sommeliers: Connectivity Analysis Using Granger Causality and Graph Theoretical Approach. 2017; Brain Connectivity, 7(2), 123-136.
  25. Yu Q, Ouyang A, Jeon T, Mishra V, Chalak L, Chia J, Sivarajan M, Rollins N, Liu S, and Huang H. Structural development of human fetal and preterm brain cortical plate based on population-averaged templates. 2016; Cereb. Cortex Doi: 10.1093/cercor/bhv201.
  26. Ouyang M, Cheng H, Mishra V, Gong G, Mosconi MW, Sweeney J, Peng Y, and Huang H. Atypical age-dependent effects of autism on white matter microstructure in children of 2-7 years. 2016; Human Brain Mapping, 37(2), 819-832.
  27. Jeon T, Mishra V, Ouyang M, and Huang H. Synchronous changes of cortical thickness and corresponding white matter microstructure during brain development accessed by Diffusion MRI tractography from parcellated cortex. 2015; Frontiers in neuroanatomy. Doi: 10.3389/fnana.2015.00158.
  28. Filbey F, McQueeny T, DeWitt S, and Mishra V. Preliminary findings demonstrating latent effects of early adolescent marijuana use onset on cortical architecture. 2015; Development Cognitive Neuroscience, 16, 16-22.
  29. Mishra V, T, Guo X, Delgado MR, and Huang H. Towards tract-specific fractional anisotropy (TSFA) at crossing- fiber regions with clinical diffusion MRI. 2015; Magnetic Resonance in Medicine. 74(6), 1768-1779.
  30. Huang H*, Shu N*, Mishra V, Jeon T, Chalak L, Wang ZJ, Rollins N, Gong G, Cheng H, Peng Y, Dong Q, and He Y. Development of human brain structural networks through infancy and childhood. 2015; Cereb. Cortex, 25(5), 1389-1404. *Equal contribution.
  31. Yu Q*, Peng Y*, Mishra V, Ouyang A, Li H, Zhang H, Chen M, Liu S, and Huang H. Microstructure, length and connection of limbic tracts in normal human brain development. 2014; Front. Aging Neurosci. Doi: 10.3389/fnagi.2014.00228. *Equal contribution.
  32. Mishra V, Cheng H, Gong G, Zhao YD, He Y, and Huang H. Differences of inter-tract correlations between neonates and children around puberty: A study based on microstructural measurements with DTI. 2013; Front. Hum. Neuro. doi: 10.3389/fnhum.2013.00721.
  33. Jeon T, Mishra V, Weiner M, Cook-Martin K, Hatanpaa K, Foong C, and Huang H. Regional Changes of cortical mean diffusivity with aging and Alzheimer’s disease after correction of partial volume effects. 2012; Neuroimage, 62(3), 1705-16.
  34. Aslan S, Huang H, Uh J, Mishra V, Xiao G, van Osch MJ, and Lu H. White matter cerebral blood flow is inversely correlated with structural and functional connectivity in the human brain. 2011; Neuroimage, 56(3), 1145-53.
  35. Huang H, Prince JL, Mishra V, Carass A, Landman B, Park DC, Tamminga C, King R, Miller MI, van Zijl PC, and Mori S. A framework on surface-based connectivity quantification for the human brain. 2011; Journal of Neuroscience Methods; 197(2), 324-32.

    Preprints and Editorials

    Mishra V, Zhuang X, Sreenivasan K, Cordes D, Ritter A, Banks SJ, and Bernick C. Towards Understanding Comprehensive Morphometric Changes and Its Correlation with Cognition and Exposure to Fighting in Active Professional Boxers. 2021; bioRxiv, doi: https://doi.org/10.1101/2021.09.25.461817.

    Vijayakumari AA and Mishra V. Understanding Cognitive Changes in Patients with Parkinson’s Disease Using Novel Fiber Quantification Techniques. 2023; Parkinsonism Relat Disord, doi: 10.1016/j.parkreldis.2023.105857.