Department of Radiology
Found 68 results
Filters: Author is Kuceyeski, Amy  [Clear All Filters]
2024
Betzel R, Puxeddu MGrazia, Seguin C, Bazinet V, Luppi A, Podschun A, S Singleton P, Faskowitz J, Parakkattu V, Misic B et al..  2024.  Controlling the human connectome with spatially diffuse input signals.. bioRxiv.
Ozsahin I, Zhou L, Wang X, Garetti J, Jamison K, Xi K, Tanzi E, Jaywant A, Patchell A, Maloney T et al..  2024.  Diffusion Tensor Imaging Along Perivascular Spaces (DTI-ALPS) to Assess Effects of Age, Sex, and Head Size on Interstitial Fluid Dynamics in Healthy Subjects.. J Alzheimers Dis Rep. 8(1):355-361.
2023
S Singleton P, Velidi P, Schilling L, Luppi AI, Jamison K, Parkes L, Kuceyeski A.  2023.  Altered structural connectivity and functional brain dynamics in individuals with heavy alcohol use.. bioRxiv.
Jaywant A, Blunt E, Jamison K, Kim N, RoyChoudhury A, Schiff ND, Kuceyeski A, Dams-O'Connor K, Shah S.  2023.  Association Between the Attention Network Test, Neuropsychological Measures, and Disability in Post-Acute Traumatic Brain Injury.. Neurotrauma Rep. 4(1):318-329.
Liew S-L, Schweighofer N, Cole JH, Zavaliangos-Petropulu A, Lo BP, Han LKM, Hahn T, Schmaal L, Donnelly MR, Jeong JN et al..  2023.  Association of Brain Age, Lesion Volume, and Functional Outcome in Patients With Stroke.. Neurology. 100(20):e2103-e2113.
Zhou L, Li Y, Sweeney EM, Wang XH, Kuceyeski A, Chiang GC, Ivanidze J, Wang Y, Gauthier SA, de Leon MJ et al..  2023.  Association of brain tissue cerebrospinal fluid fraction with age in healthy cognitively normal adults.. Front Aging Neurosci. 15:1162001.
Kim N, Jamison K, Jaywant A, Garetti J, Blunt E, RoyChoudhury A, Butler T, Dams-O'Connor K, Khedr S, Chen C-C et al..  2023.  Comparisons of electrophysiological markers of impaired executive attention after traumatic brain injury and in healthy aging.. Neuroimage. 274:120126.
Luppi AI, Cabral J, Cofre R, Mediano PAM, Rosas FE, Qureshi AY, Kuceyeski A, Tagliazucchi E, Raimondo F, Deco G et al..  2023.  Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness.. Neuroimage. 275:120162.
Bartnik A, Fuchs TA, Ashton K, Kuceyeski A, Li X, Mallory M, Oship D, Bergsland N, Ramasamy D, Jakimovski D et al..  2023.  Functional alteration due to structural damage is network dependent: insight from multiple sclerosis.. Cereb Cortex. 33(10):6090-6102.
Butler T, Zhou L, Ozsahin I, Wang XHugh, Garetti J, Zetterberg H, Blennow K, Jamison K, de Leon MJ, Li Y et al..  2023.  Glymphatic clearance estimated using diffusion tensor imaging along perivascular spaces is reduced after traumatic brain injury and correlates with plasma neurofilament light, a biomarker of injury severity.. Brain Commun. 5(3):fcad134.
Bukhari H, Su C, Dhamala E, Gu Z, Jamison K, Kuceyeski A.  2023.  Graph-matching distance between individuals' functional connectomes varies with relatedness, age, and cognitive score.. Hum Brain Mapp. 44(9):3541-3554.
Gu Z, Jamison K, Sabuncu MR, Kuceyeski A.  2023.  Human brain responses are modulated when exposed to optimized natural images or synthetically generated images.. Commun Biol. 6(1):1076.
Tozlu C, Card S, Jamison K, Gauthier SA, Kuceyeski A.  2023.  Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity.. Netw Neurosci. 7(2):539-556.
Gu Z, Jamison K, Sabuncu MR, Kuceyeski A.  2023.  Modulating human brain responses via optimal natural image selection and synthetic image generation.. ArXiv.
Tozlu C, Olafson E, Jamison K, Demmon E, Kaunzner U, Marcille M, Zinger N, Michaelson N, Safi N, Nguyen T et al..  2023.  The sequence of regional structural disconnectivity due to multiple sclerosis lesions.. bioRxiv.
Tozlu C, Olafson E, Jamison KW, Demmon E, Kaunzner U, Marcille M, Zinger N, Michaelson N, Safi N, Nguyen T et al..  2023.  The sequence of regional structural disconnectivity due to multiple sclerosis lesions.. Brain Commun. 5(6):fcad332.
S Singleton P, Timmermann C, Luppi AI, Eckernäs E, Roseman L, Carhart-Harris RL, Kuceyeski A.  2023.  Time-resolved network control analysis links reduced control energy under DMT with the serotonin 2a receptor, signal diversity, and subjective experience.. bioRxiv.
Luppi AI, S Singleton P, Hansen JY, Bzdok D, Kuceyeski A, Betzel RF, Misic B.  2023.  Transitions between cognitive topographies: contributions of network structure, neuromodulation, and disease.. bioRxiv.
2022
S Singleton P, Wang JB, Mithoefer M, Hanlon C, George MS, Mithoefer A, Mithoefer O, Coker AR, Yazar-Klosinski B, Emerson A et al..  2022.  Altered brain activity and functional connectivity after MDMA-assisted therapy for post-traumatic stress disorder.. Front Psychiatry. 13:947622.
Marcille M, Rúa SHurtado, Tyshkov C, Jaywant A, Comunale J, Kaunzner UW, Nealon N, Perumal JS, Zexter L, Zinger N et al..  2022.  Disease correlates of rim lesions on quantitative susceptibility mapping in multiple sclerosis.. Sci Rep. 12(1):4411.
Liew S-L, Zavaliangos-Petropulu A, Jahanshad N, Lang CE, Hayward KS, Lohse KR, Juliano JM, Assogna F, Baugh LA, Bhattacharya AK et al..  2022.  The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke.. Hum Brain Mapp. 43(1):129-148.
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.
Rúa SMHurtado, Kaunzner UW, Pandya S, Sweeney E, Tozlu C, Kuceyeski A, Nguyen TD, Gauthier SA.  2022.  Lesion features on magnetic resonance imaging discriminate multiple sclerosis patients.. Eur J Neurol. 29(1):237-246.
Barrash J, Bruss J, Anderson SW, Kuceyeski A, Manzel K, Tranel D, Boes AD.  2022.  Lesions in different prefrontal sectors are associated with different types of acquired personality disturbances.. Cortex. 147:169-184.
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.