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Akhil Kottaram
Akhil Kottaram
Orygen & Centre For Youth Mental Health, University of Melbourne
在 unimelb.edu.au 的电子邮件经过验证 - 首页
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Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks
KA Smitha, K Akhil Raja, KM Arun, PG Rajesh, B Thomas, ...
The neuroradiology journal 30 (4), 305-317, 2017
5922017
Brain network dynamics in schizophrenia: Reduced dynamism of the default mode network
A Kottaram, LA Johnston, L Cocchi, EP Ganella, I Everall, C Pantelis, ...
Human brain mapping 40 (7), 2212-2228, 2019
762019
Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models
JMM Bayer, R Dinga, SM Kia, AR Kottaram, T Wolfers, J Lv, A Zalesky, ...
Neuroimage 264, 119699, 2022
392022
Spatio‐temporal dynamics of resting‐state brain networks improve single‐subject prediction of schizophrenia diagnosis
A Kottaram, L Johnston, E Ganella, C Pantelis, R Kotagiri, A Zalesky
Human Brain Mapping 39 (9), 3663-3681, 2018
362018
Predicting depression onset in young people based on clinical, cognitive, environmental, and neurobiological data
YJ Toenders, A Kottaram, R Dinga, CG Davey, T Banaschewski, ...
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 7 (4), 376-384, 2022
192022
Predicting individual improvement in schizophrenia symptom severity at 1‐year follow‐up: Comparison of connectomic, structural, and clinical predictors
A Kottaram, LA Johnston, Y Tian, EP Ganella, L Laskaris, L Cocchi, ...
Human Brain Mapping 41 (12), 3342-3357, 2020
122020
Risk factors for suicide attempt during outpatient care in adolescents with severe and complex depression
LS van Velzen, YJ Toenders, A Kottaram, B Youzchalveen, V Pilkington, ...
Crisis, 2022
52022
Daily cannabidiol administration for 10 weeks modulates hippocampal and amygdalar resting-state functional connectivity in cannabis users: a functional magnetic resonance …
V Lorenzetti, E McTavish, S Broyd, H van Hell, D Thomson, E Ganella, ...
Cannabis and cannabinoid research, 2023
12023
P. 0085 Predicting depression onset in young people based on clinical, cognitive, environmental and neurobiological data
Y Toenders, A Kottaram, R Dinga, C Davey, I Consortium, L Schmaal
European Neuropsychopharmacology 53, S59-S60, 2021
2021
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