John Ashburner
Affiliations: | University College London, London, United Kingdom |
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Publications
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| Kyathanahally SP, Azzarito M, Rosner J, et al. (2021) Microstructural plasticity in nociceptive pathways after spinal cord injury. Journal of Neurology, Neurosurgery, and Psychiatry |
| Fleming V, Brownsett S, Krason A, et al. (2020) Efficacy of spoken word comprehension therapy in patients with chronic aphasia: a cross-over randomised controlled trial with structural imaging. Journal of Neurology, Neurosurgery, and Psychiatry |
| Chern-Yee Tan G, Chu C, Teng LY, et al. (2020) The influence of microsatellite polymorphisms in sex steroid receptor genes ESR1, ESR2 and AR on sex differences in brain structure. Neuroimage. 117087 |
| Ing A, Sämann PG, Chu C, et al. (2019) Identification of neurobehavioural symptom groups based on shared brain mechanisms. Nature Human Behaviour |
| Callaghan MF, Lutti A, Ashburner J, et al. (2019) Example dataset for the hMRI toolbox. Data in Brief. 25: 104132 |
| Tabelow K, Balteau E, Ashburner J, et al. (2019) hMRI - A toolbox for quantitative MRI in neuroscience and clinical research. Neuroimage |
| Freund P, Thompson A, Curt A, et al. (2018) Author response: Progressive neurodegeneration following spinal cord injury: Implications for clinical trials. Neurology. 91: 985 |
| Ziegler G, Grabher P, Thompson A, et al. (2018) Progressive neurodegeneration following spinal cord injury: Implications for clinical trials. Neurology |
| Koush Y, Ashburner J, Prilepin E, et al. (2017) Real-time fMRI data for testing OpenNFT functionality. Data in Brief. 14: 344-347 |
| Koush Y, Ashburner J, Prilepin E, et al. (2017) OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis. Neuroimage |