User profiles for Kirsten Emmert

Kirsten Emmert

Department of Neurology, Kiel University
Verified email at neurologie.uni-kiel.de
Cited by 762

Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated?

K Emmert, R Kopel, J Sulzer, AB Brühl, BD Berman… - Neuroimage, 2016 - Elsevier
An increasing number of studies using real-time fMRI neurofeedback have demonstrated
that successful regulation of neural activity is possible in various brain regions. Since these …

[HTML][HTML] Continuous vs. intermittent neurofeedback to regulate auditory cortex activity of tinnitus patients using real-time fMRI-A pilot study

K Emmert, R Kopel, Y Koush, R Maire, P Senn… - NeuroImage: Clinical, 2017 - Elsevier
The emerging technique of real-time fMRI neurofeedback trains individuals to regulate their
own brain activity via feedback from an fMRI measure of neural activity. Optimum feedback …

[HTML][HTML] Comparison of anterior cingulate vs. insular cortex as targets for real-time fMRI regulation during pain stimulation

K Emmert, M Breimhorst, T Bauermann… - Frontiers in behavioral …, 2014 - frontiersin.org
Real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback allows learning
voluntary control over specific brain areas by means of operant conditioning and has been …

Walking-related digital mobility outcomes as clinical trial endpoint measures: protocol for a scoping review

…, G Dalla Costa, LD Ortiz, H Demeyer, K Emmert… - BMJ open, 2020 - bmjopen.bmj.com
Introduction Advances in wearable sensor technology now enable frequent, objective
monitoring of real-world walking. Walking-related digital mobility outcomes (DMOs), such as real-…

[HTML][HTML] Predictors of real-time fMRI neurofeedback performance and improvement–a machine learning mega-analysis

…, R Schweizer, G Pamplona, RA Lanius, K Emmert… - Neuroimage, 2021 - Elsevier
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 …

[HTML][HTML] Assessing fatigue and sleep in chronic diseases using physiological signals from wearables: a pilot study

…, V Macrae, K Davies, H Hildesheim, K Emmert… - Frontiers in …, 2022 - frontiersin.org
Problems with fatigue and sleep are highly prevalent in patients with chronic diseases and
often rated among the most disabling symptoms, impairing their activities of daily living and …

Can we predict real‐time fMRI neurofeedback learning success from pretraining brain activity?

…, R Schweizer, G Pamplona, K Emmert… - Human brain …, 2020 - Wiley Online Library
Neurofeedback training has been shown to influence behavior in healthy participants as
well as to alleviate clinical symptoms in neurological, psychosomatic, and psychiatric patient …

[HTML][HTML] Active pain coping is associated with the response in real-time fMRI neurofeedback during pain

K Emmert, M Breimhorst, T Bauermann… - Brain imaging and …, 2017 - Springer
Real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback is used as a tool
to gain voluntary control of activity in various brain regions. Little emphasis has been put on …

[HTML][HTML] Reliability of IMU-derived static balance parameters in neurological diseases

…, E Warmerdam, J Welzel, J Geritz, K Emmert… - International Journal of …, 2021 - mdpi.com
Static balance is a commonly used health measure in clinical practice. Usually, static balance
parameters are assessed via force plates or, more recently, with inertial measurement …

[PDF][PDF] Neural correlates of clinical scores in patients with anterior shoulder apprehension

G Cunningham, D Zanchi, K Emmert, R Kopel… - Med Sci Sports …, 2015 - miplab.epfl.ch
Introduction: Anterior shoulder apprehension is a commonly reported complaint in anterior
shoulder instability, which may lead to patient morbidity and impede shoulder function. It is …