Department of Radiology
Found 68 results
Filters: Author is Kuceyeski, Amy  [Clear All Filters]
2022
Gu Z, Jamison KWakefield, Khosla M, Allen EJ, Wu Y, St-Yves G, Naselaris T, Kay K, Sabuncu MR, Kuceyeski A.  2022.  NeuroGen: Activation optimized image synthesis for discovery neuroscience.. Neuroimage. 247:118812.
Gu Z, Jamison K, Sabuncu M, Kuceyeski A.  2022.  Personalized visual encoding model construction with small data.. Commun Biol. 5(1):1382.
Ngo GH, Khosla M, Jamison K, Kuceyeski A, Sabuncu MR.  2022.  Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network.. Neuroimage. 248:118849.
Dhamala E, Jamison KW, Jaywant A, Kuceyeski A.  2022.  Shared functional connections within and between cortical networks predict cognitive abilities in adult males and females.. Hum Brain Mapp. 43(3):1087-1102.
2021
Khosla M, Ngo GH, Jamison K, Kuceyeski A, Sabuncu MR.  2021.  Cortical response to naturalistic stimuli is largely predictable with deep neural networks.. Sci Adv. 7(22)
Dhamala E, Jamison KW, Jaywant A, Dennis S, Kuceyeski A.  2021.  Distinct functional and structural connections predict crystallised and fluid cognition in healthy adults.. Hum Brain Mapp. 42(10):3102-3118.
Tozlu C, Jamison K, Gauthier SA, Kuceyeski A.  2021.  Dynamic Functional Connectivity Better Predicts Disability Than Structural and Static Functional Connectivity in People With Multiple Sclerosis.. Front Neurosci. 15:763966.
Tozlu C, Jamison K, Gu Z, Gauthier SA, Kuceyeski A.  2021.  Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groups.. Neuroimage Clin. 32:102827.
Sweeney EM, Nguyen TD, Kuceyeski A, Ryan SM, Zhang S, Zexter L, Wang Y, Gauthier SA.  2021.  Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging.. Neuroimage. 225:117451.
Olafson ER, Jamison KW, Sweeney EM, Liu H, Wang D, Bruss JE, Boes AD, Kuceyeski A.  2021.  Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnection.. Neuroimage. 245:118642.
Gu Z, Jamison KWakefield, Sabuncu MRory, Kuceyeski A.  2021.  Heritability and interindividual variability of regional structure-function coupling.. Nat Commun. 12(1):4894.
Cha J, Speaker S, Hu B, Altinay M, Koirala P, Karne H, Spielberg J, Kuceyeski A, Dhamala E, Anand A.  2021.  Neuroimaging correlates of emotional response-inhibition discriminate between young depressed adults with and without sub-threshold bipolar symptoms (Emotional Response-inhibition in Young Depressed Adults).. J Affect Disord. 281:303-311.
Liew S-L, Zavaliangos-Petropulu A, Schweighofer N, Jahanshad N, Lang CE, Lohse KR, Banaj N, Barisano G, Baugh LA, Bhattacharya AK et al..  2021.  Smaller spared subcortical nuclei are associated with worse post-stroke sensorimotor outcomes in 28 cohorts worldwide.. Brain Commun. 3(4):fcab254.
Tozlu C, Jamison K, Nguyen T, Zinger N, Kaunzner U, Pandya S, Wang Y, Gauthier S, Kuceyeski A.  2021.  Structural disconnectivity from paramagnetic rim lesions is related to disability in multiple sclerosis.. Brain Behav. 11(10):e2353.
2020
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.
Tozlu C, Edwards D, Boes A, Labar D, K Tsagaris Z, Silverstein J, Lane HPepper, Sabuncu MR, Liu C, Kuceyeski A.  2020.  Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke.. Neurorehabil Neural Repair. 34(5):428-439.
Kang Y, Rúa SMilena Hur, Kaunzner UW, Perumal J, Nealon N, Qu W, Kothari PJ, Vartanian T, Kuceyeski A, Gauthier SA.  2020.  A Multi-Ligand Imaging Study Exploring GABAergic Receptor Expression and Inflammation in Multiple Sclerosis.. Mol Imaging Biol. 22(6):1600-1608.
Shah SA, Lowder RJ, Kuceyeski A.  2020.  Quantitative multimodal imaging in traumatic brain injuries producing impaired cognition.. Curr Opin Neurol. 33(6):691-698.
Dhamala E, Jamison KW, Sabuncu MR, Kuceyeski A.  2020.  Sex classification using long-range temporal dependence of resting-state functional MRI time series.. Hum Brain Mapp. 41(13):3567-3579.
2019
Khosla M, Jamison K, Kuceyeski A, Sabuncu MR.  2019.  Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction.. Neuroimage. 199:651-662.
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.
Khosla M, Jamison K, Ngo GH, Kuceyeski A, Sabuncu MR.  2019.  Machine learning in resting-state fMRI analysis.. Magn Reson Imaging. 64:101-121.
Gerber MB, McLean AC, Stephen SJ, Chalco AG, Arshad UM, Thickbroom GW, Silverstein J, K Tsagaris Z, Kuceyeski A, Friel K et al..  2019.  NeuroMeasure: A Software Package for Quantification of Cortical Motor Maps Using Frameless Stereotaxic Transcranial Magnetic Stimulation.. Front Neuroinform. 13:23.
2018
Kang Y, Schlyer D, Kaunzner UW, Kuceyeski A, Kothari PJ, Gauthier SA.  2018.  Comparison of two different methods of image analysis for the assessment of microglial activation in patients with multiple sclerosis using (R)-[N-methyl-carbon-11]PK11195.. PLoS One. 13(8):e0201289.
Puig J, Blasco G, Alberich-Bayarri A, Schlaug G, Deco G, Biarnes C, Navas-Martí M, Rivero M, Gich J, Figueras J et al..  2018.  Resting-State Functional Connectivity Magnetic Resonance Imaging and Outcome After Acute Stroke.. Stroke. 49(10):2353-2360.