... and thanks for checking-in! Our research group works in the field of applied computational neuroscience in Psychiatry and Neurology and is headed by Dr. med. David Mehler, M.D. PhD.
One main focus are clinical applications of neurotechnology and in particular Brain-Computer-Inferfaces (Neurofeedback training) using functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS). We have recently reviewed highly promising use cases for fNIRS, including neurofeedback training (2020, 2023) and hyperscanning (2023).
Another focus concerns algorithmic approaches (machine learning/AI) to test their potential in identifying disease states and trajectories, for instance in depression, in collaboration with large consortia such as ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analyses).
In a similar spirit, we are advocating and developing open science research practices: whenever possible, we provide share research materials, data and code. For some examples, check out the Open Science Framework (OSF).
One main focus are clinical applications of neurotechnology and in particular Brain-Computer-Inferfaces (Neurofeedback training) using functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS). We have recently reviewed highly promising use cases for fNIRS, including neurofeedback training (2020, 2023) and hyperscanning (2023).
Another focus concerns algorithmic approaches (machine learning/AI) to test their potential in identifying disease states and trajectories, for instance in depression, in collaboration with large consortia such as ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analyses).
In a similar spirit, we are advocating and developing open science research practices: whenever possible, we provide share research materials, data and code. For some examples, check out the Open Science Framework (OSF).
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https://twitter.com/neuroccino
https://twitter.com/neuroccino
