| Resting state fMRI entropy probes complexity of brain activity in adults with ADHD MO Sokunbi, W Fung, V Sawlani, S Choppin, DEJ Linden, J Thome Psychiatry Research: Neuroimaging 214 (3), 341-348, 2013 | 150 | 2013 |
| Targeting the affective brain—a randomized controlled trial of real-time fMRI neurofeedback in patients with depression DMA Mehler, MO Sokunbi, I Habes, K Barawi, L Subramanian, M Range, ... Neuropsychopharmacology 43 (13), 2578-2585, 2018 | 137 | 2018 |
| Nonlinear complexity analysis of brain FMRI signals in schizophrenia MO Sokunbi, VB Gradin, GD Waiter, GG Cameron, TS Ahearn, AD Murray, ... Plos one 9 (5), e95146, 2014 | 131 | 2014 |
| Using real-time fMRI to influence effective connectivity in the developing emotion regulation network KC Kadosh, Q Luo, C de Burca, MO Sokunbi, J Feng, DEJ Linden, ... Neuroimage 125, 616-626, 2016 | 120 | 2016 |
| Sample entropy reveals high discriminative power between young and elderly adults in short fMRI data sets MO Sokunbi Frontiers in neuroinformatics 8, 69, 2014 | 91 | 2014 |
| Real-time fMRI brain-computer interface: development of a “motivational feedback” subsystem for the regulation of visual cue reactivity MO Sokunbi, DEJ Linden, I Habes, S Johnston, N Ihssen Frontiers in behavioral neuroscience 8, 392, 2014 | 65 | 2014 |
| Neurofeedback of visual food cue reactivity: a potential avenue to alter incentive sensitization and craving N Ihssen, MO Sokunbi, AD Lawrence, NS Lawrence, DEJ Linden Brain imaging and behavior 11, 915-924, 2017 | 59 | 2017 |
| Inter-individual differences in fMRI entropy measurements in old age MO Sokunbi, RT Staff, GD Waiter, TS Ahearn, HC Fox, IJ Deary, JM Starr, ... IEEE Transactions on Biomedical Engineering 58 (11), 3206-3214, 2011 | 50 | 2011 |
| Fuzzy approximate entropy analysis of resting state fMRI signal complexity across the adult life span MO Sokunbi, GG Cameron, TS Ahearn, AD Murray, RT Staff Medical Engineering & Physics 37 (11), 1082-1090, 2015 | 41 | 2015 |
| fMRI neurofeedback of higher visual areas and perceptual biases I Habes, S Rushton, SJ Johnston, MO Sokunbi, K Barawi, M Brosnan, ... Neuropsychologia 85, 208-215, 2016 | 22 | 2016 |
| Using real-time fMRI brain-computer interfacing to treat eating disorders MO Sokunbi Journal of the neurological sciences 388, 109-114, 2018 | 17 | 2018 |
| Feedback of real-time fMRI signals: from concepts and principles to therapeutic interventions MO Sokunbi Magnetic Resonance Imaging 35, 117-124, 2017 | 17 | 2017 |
| Influence of critical parameters on cytotoxicity induced by mesoporous silica nanoparticles A Ahmadi, M Sokunbi, T Patel, MW Chang, Z Ahmad, N Singh Nanomaterials 12 (12), 2016, 2022 | 12 | 2022 |
| Motion during acquisition is associated with fMRI brain entropy CF de Vries, RT Staff, GD Waiter, MO Sokunbi, AL Sandu, AD Murray IEEE journal of biomedical and health informatics 24 (2), 586-593, 2019 | 7 | 2019 |
| BOLD fMRI complexity predicts changes in brain processes, interactions and patterns, in health and disease MO Sokunbi Journal of the Neurological Sciences 367, 347-348, 2016 | 7 | 2016 |
| Refreshing the emergency medicine research priorities L Cottey, TAG Shanahan, T Gronlund, C Whiting, M Sokunbi, SD Carley, ... Emergency Medicine Journal 40 (9), 666-670, 2023 | 6 | 2023 |
| Children with ADHD exhibit lower fMRI spectral exponent than their typically developing counterparts MO Sokunbi Organisation for Human Brain Mapping (OHBM), USA., 2018 | 5 | 2018 |
| Trajectories for mood states during a multi-session neurofeedback training intervention in major depressive disorder DMA Mehler, S Kunas, MO Sokunbi, R Goebel, DEJ Linden PsyArXiv, 2021 | 3 | 2021 |
| Functional MRI entropy measurements of age-related brain changes M.O. Sokunbi, R.T. Staff, G.D. Waiter, G.G. Cameron, T.S. Ahearn, A.D. Murray 17th Annual Meeting of the Organization for Human Brain Mapping, Quebec City …, 2011 | 3* | 2011 |
| Installing a 3 node Linux based cluster for scientific computation MO Sokunbi | 1 | 2006 |
Niklas IhssenDurham University在 durham.ac.uk 的电子邮件经过验证
