Department of Radiology
Found 35 results
Filters: Keyword is White Matter  [Clear All Filters]
2022
Xie H, Zhuang H, Guo Y, Sharma RD, Zhang Q, Li J, Lu S, Xu L, Chan Q, Yoneda T et al..  2022.  The appearance of magnetic susceptibility objects in SWI phase depends on object size: Comparison with QSM and CT.. Clin Imaging. 82:67-72.
Jaywant A, Dunlop K, Victoria LW, Oberlin L, Lynch CJ, Respino M, Kuceyeski A, Scult M, Hoptman MJ, Liston C et al..  2022.  Estimated Regional White Matter Hyperintensity Burden, Resting State Functional Connectivity, and Cognitive Functions in Older Adults.. Am J Geriatr Psychiatry. 30(3):269-280.
Buyukturkoglu K, Vergara C, Fuentealba V, Tozlu C, Dahan JB, Carroll BE, Kuceyeski A, Riley CS, Sumowski JF, Oliva CGuevara et al..  2022.  Machine learning to investigate superficial white matter integrity in early multiple sclerosis.. J Neuroimaging. 32(1):36-47.
2021
Barry EF, Loftus JP, Luh W-M, de Leon MJ, Niogi SN, Johnson PJ.  2021.  Diffusion tensor-based analysis of white matter in the healthy aging canine brain.. Neurobiol Aging. 105:129-136.
Seixas AA, Turner AD, Bubu OMichael, Jean-Louis G, de Leon MJ, Osorio RS, Glodzik L.  2021.  Obesity and Race May Explain Differential Burden of White Matter Hyperintensity Load.. Clin Interv Aging. 16:1563-1571.
Gillen KM, Mubarak M, Park C, Ponath G, Zhang S, Dimov A, Levine-Ritterman M, Toro S, Huang W, Amici S et al..  2021.  QSM is an imaging biomarker for chronic glial activation in multiple sclerosis lesions.. Ann Clin Transl Neurol. 8(4):877-886.
2020
Gazes Y, Lee S, Sakhardande J, Mensing A, Razlighi Q, Ohkawa A, Pleshkevich M, Luo L, Habeck C.  2020.  fMRI-guided white matter connectivity in fluid and crystallized cognitive abilities in healthy adults.. Neuroimage. 215:116809.
Fuchs TA, Ziccardi S, Benedict RHB, Bartnik A, Kuceyeski A, Charvet LE, Oship D, Weinstock-Guttman B, Wojcik C, Hojnacki D et al..  2020.  Functional Connectivity and Structural Disruption in the Default-Mode Network Predicts Cognitive Rehabilitation Outcomes in Multiple Sclerosis.. J Neuroimaging. 30(4):523-530.
2019
Gazes Y, Li P, Sun E, Razlighi Q, Tsapanou A.  2019.  Age specificity in fornix-to-hippocampus association.. Brain Imaging Behav. 13(5):1444-1452.
Lee H-H, Yaros K, Veraart J, Pathan JL, Liang F-X, Kim SG, Novikov DS, Fieremans E.  2019.  Along-axon diameter variation and axonal orientation dispersion revealed with 3D electron microscopy: implications for quantifying brain white matter microstructure with histology and diffusion MRI.. Brain Struct Funct. 224(4):1469-1488.
Tsapanou A, Habeck C, Gazes Y, Razlighi Q, Sakhardande J, Stern Y, Salthouse TA.  2019.  Brain biomarkers and cognition across adulthood.. Hum Brain Mapp. 40(13):3832-3842.
Spincemaille P, Liu Z, Zhang S, Kovanlikaya I, Ippoliti M, Makowski M, Watts R, de Rochefort L, Venkatraman V, Desmond P et al..  2019.  Clinical Integration of Automated Processing for Brain Quantitative Susceptibility Mapping: Multi-Site Reproducibility and Single-Site Robustness.. J Neuroimaging. 29(6):689-698.
Hubertus S, Thomas S, Cho J, Zhang S, Wang Y, Schad LRudi.  2019.  Comparison of gradient echo and gradient echo sampling of spin echo sequence for the quantification of the oxygen extraction fraction from a combined quantitative susceptibility mapping and quantitative BOLD (QSM+qBOLD) approach.. Magn Reson Med. 82(4):1491-1503.
Respino M, Jaywant A, Kuceyeski A, Victoria LW, Hoptman MJ, Scult MA, Sankin L, Pimontel M, Liston C, Murri MBelvederi et al..  2019.  The impact of white matter hyperintensities on the structural connectome in late-life depression: Relationship to executive functions.. Neuroimage Clin. 23:101852.
Moura AR, Lee S, Habeck C, Razlighi Q, Stern Y.  2019.  The relationship between white matter hyperintensities and cognitive reference abilities across the life span.. Neurobiol Aging. 83:31-41.
Hubertus S, Thomas S, Cho J, Zhang S, Wang Y, Schad LRudi.  2019.  Using an artificial neural network for fast mapping of the oxygen extraction fraction with combined QSM and quantitative BOLD.. Magn Reson Med. 82(6):2199-2211.
2018
Zhang S, Nguyen TD, Zhao Y, Gauthier SA, Wang Y, Gupta A.  2018.  Diagnostic accuracy of semiautomatic lesion detection plus quantitative susceptibility mapping in the identification of new and enhancing multiple sclerosis lesions.. Neuroimage Clin. 18:143-148.
Fuchs TA, Carolus K, Benedict RHB, Bergsland N, Ramasamy D, Jakimovski D, Weinstock-Guttman B, Kuceyeski A, Zivadinov R, Dwyer MG.  2018.  Impact of Focal White Matter Damage on Localized Subcortical Gray Matter Atrophy in Multiple Sclerosis: A 5-Year Study.. AJNR Am J Neuroradiol. 39(8):1480-1486.
Deh K, Ponath GD, Molvi Z, Parel G-CT, Gillen KM, Zhang S, Nguyen TD, Spincemaille P, Ma Y, Gupta A et al..  2018.  Magnetic susceptibility increases as diamagnetic molecules breakdown: Myelin digestion during multiple sclerosis lesion formation contributes to increase on QSM.. J Magn Reson Imaging. 48(5):1281-1287.
Gillen KM, Mubarak M, Nguyen TD, Pitt D.  2018.  Significance and Detection of Iron-Laden Microglia in White Matter Multiple Sclerosis Lesions.. Front Immunol. 9:255.
Fuchs TA, Dwyer MG, Kuceyeski A, Choudhery S, Carolus K, Li X, Mallory M, Weinstock-Guttman B, Jakimovski D, Ramasamy D et al..  2018.  White matter tract network disruption explains reduced conscientiousness in multiple sclerosis.. Hum Brain Mapp. 39(9):3682-3690.
2017
Chen W, Zhang Y, Mu K, Pan C, Gauthier SA, Zhu W, Wang Y.  2017.  Quantifying the Susceptibility Variation of Normal-Appearing White Matter in Multiple Sclerosis by Quantitative Susceptibility Mapping.. AJR Am J Roentgenol. 209(4):889-894.
Kim H-J, Oh S-I, de Leon M, Wang X, Oh K-W, Park J-S, Deshpande A, Buj M, Kim SH.  2017.  Structural explanation of poor prognosis of amyotrophic lateral sclerosis in the non-demented state.. Eur J Neurol. 24(1):122-129.
2016
Wisnieff C, Liu T, Wang Y, Spincemaille P.  2016.  The influence of molecular order and microstructure on the R2* and the magnetic susceptibility tensor.. Magn Reson Imaging. 34(5):682-9.
Dayan M, Monohan E, Pandya S, Kuceyeski A, Nguyen TD, Raj A, Gauthier SA.  2016.  Profilometry: A new statistical framework for the characterization of white matter pathways, with application to multiple sclerosis.. Hum Brain Mapp. 37(3):989-1004.