Publications by Frank Scharnowski

Predictors of real-time fMRI neurofeedback performance and improvement-A machine learning mega-analysis

Dimitri Nestor Alice Van De Ville, Frank Scharnowski, Yury Koush, Kirsten Emmert

Real-time fMRI neurofeedback is an increasingly popular neuroimaging technique that allows an individual to gain control over his/her own brain signals, which can lead to improvements in behavior in healthy participants as well as to improvements of clinic ...

2021

Can we predict real-timefMRIneurofeedback learning success from pretraining brain activity?

Dimitri Nestor Alice Van De Ville, Frank Scharnowski, Kirsten Emmert, Maria Laura Blefari

Neurofeedback training has been shown to influence behavior in healthy participants as well as to alleviate clinical symptoms in neurological, psychosomatic, and psychiatric patient populations. However, many real-time fMRI neurofeedback studies report lar ...

2020

Data-driven tensor independent component analysis for model-based connectivity neurofeedback

Dimitri Nestor Alice Van De Ville, Frank Scharnowski, Yury Koush, Nemanja Masala

Neurofeedback based on real-time functional MRI is an emerging technique to train voluntary control over brain activity in healthy and disease states. Recent developments even allow for training of brain networks using connectivity feedback based on dynami ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

Building perception block by block: a response to Fekete et al.

Michael Herzog, Frank Scharnowski, Adrien Christophe Doerig

Is consciousness a continuous stream, or do percepts occur only at certain moments of time? This age-old question is still under debate. Both positions face difficult problems, which we proposed to overcome with a 2-stage model, where unconscious processin ...

Oxford University Press (OUP)2019

No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI

Dimitri Nestor Alice Van De Ville, Frank Scharnowski, Yury Koush, Rotem Roza Kopel

As a consequence of recent technological advances in the field of functional magnetic resonance imaging (fMRI), results can now be made available in real-time. This allows for novel applications such as online quality assurance of the acquisition, intra-op ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

Brain networks for engaging oneself in positive-social emotion regulation

Dimitri Nestor Alice Van De Ville, Frank Scharnowski, Yury Koush

Positive emotions facilitate cognitive performance, and their absence is associated with burdening psychiatric disorders. However, the brain networks regulating positive emotions are not well understood, especially with regard to engaging oneself in positi ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training

Dimitri Nestor Alice Van De Ville, Frank Scharnowski, Kirsten Emmert, Rotem Roza Kopel

Neurofeedback (NF) based on real-time functional magnetic resonance imaging (rt-fMRI) is an exciting neuroimaging application. In most rt-fMRI NF studies, the activity level of a single region of interest (ROI) is provided as a feedback signal and the part ...

Ieee-Inst Electrical Electronics Engineers Inc2017

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