精神健康研究中心成員於著名期刊上發表研究論文 (只有英文版本)
Two studies conducted by Dr Georg KRANZ, Member of the Mental Health Research Centre (MHRC) and Assistant Professor in the Department of Rehabilitation Sciences, in collaboration with researchers from Hong Kong, Shanghai and Austria, have recently been published in prominent journals. The research findings contribute to our understanding of non-invasive brain stimulation as a treatment, as well as a diagnostic/prognostic tool for psychiatric disorders.
The study titled “Instantaneous Effects of Prefrontal Transcranial Magnetic Stimulation on Brain Oxygenation: A Systematic Review” investigates how prefrontal transcranial magnetic stimulation (TMS) immediately influences neuronal excitability based on oxygenation changes measured by functional magnetic resonance imaging (fMRI) or functional near-infrared spectroscopy (fNIRS). The study has been published in the top-journal Neuroimage.
Another research titled “Sex differences in brain excitability revealed by concurrent iTBS/fNIRS” investigates whether the real-time neural response to intermittent theta-burst stimulation (iTBS), a patterned form of repetitive TMS, differs between men and women, and which mechanisms may mediate these differences. The study has been published in the top-journal Asian Journal of Psychiatry.
Most recently, a study by Dr Kranz and his team, “Neurophysiological and neuroimaging markers of repetitive transcranial stimulation treatment response in major depressive disorder: A systematic review and meta-analysis of predictive modeling studies” has been accepted for publication in the top-journal Neuroscience & Biobehavioral Reviews.
To read the published papers, please refer to:
Review article on instantaneous TMS effects: https://www.sciencedirect.com/science/article/pii/S1053811924001137?via%3Dihub
Study on sex differences: https://www.sciencedirect.com/science/article/pii/S1876201824001369?via%3Dihub
Meta-analysis on predictive modeling: https://www.sciencedirect.com/science/article/pii/S0149763424001647?via%3Dihub