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Biblio
Found 18 results
Filters:
Author
is
Jamison, Keith
[Clear All Filters]
2024
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.
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.
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.
2022
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.
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)
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.
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.
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.
Khosla M
,
Jamison K
,
Ngo GH
,
Kuceyeski A
,
Sabuncu MR
. 2019.
Machine learning in resting-state fMRI analysis.
.
Magn Reson Imaging. 64:101-121.