Frank Scharnowski

Orcid: 0000-0002-9973-2521

According to our database1, Frank Scharnowski authored at least 18 papers between 2004 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis.
NeuroImage, 2021

2020
Personode: A Toolbox for ICA Map Classification and Individualized ROI Definition.
Neuroinformatics, 2020

Network-based fMRI-neurofeedback training of sustained attention.
NeuroImage, 2020

2019
Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies.
NeuroImage, 2019

The effects of psychiatric history and age on self-regulation of the default mode network.
NeuroImage, 2019

Brain networks for engaging oneself in positive-social emotion regulation.
NeuroImage, 2019

Data-driven tensor independent component analysis for model-based connectivity neurofeedback.
NeuroImage, 2019

No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI.
NeuroImage, 2019

Volitional modulation of higher-order visual cortex alters human perception.
NeuroImage, 2019

2018
Real-time decoding of covert attention in higher-order visual areas.
NeuroImage, 2018

2017
Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training.
IEEE Trans. Biomed. Eng., 2017

OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis.
NeuroImage, 2017

2014
Self-regulation of inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training.
NeuroImage, 2014

2013
Real-time fMRI neurofeedback: Progress and challenges.
NeuroImage, 2013

Connectivity-based neurofeedback: Dynamic causal modeling for real-time fMRI.
NeuroImage, 2013

Dynamic reconfiguration of human brain functional networks through neurofeedback.
NeuroImage, 2013

2007
Feature Fusion Reveals Slow and Fast Visual Memories.
J. Cogn. Neurosci., 2007

2004
Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI).
IEEE Trans. Biomed. Eng., 2004


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