TY - JOUR
T1 - MRI correlates of cognitive improvement after home-based EEG neurofeedback training in patients with multiple sclerosis
T2 - a pilot study
AU - Pinter, Daniela
AU - Kober, Silvia Erika
AU - Fruhwirth, Viktoria
AU - Berger, Lisa
AU - Damulina, Anna
AU - Khalil, Michael
AU - Neuper, Christa
AU - Wood, Guilherme
AU - Enzinger, Christian
N1 - Funding Information:
Open access funding provided by Medical University of Graz.. This work was supported by BioTechMed-Graz, Austria.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/10
Y1 - 2021/10
N2 - Objective: Neurofeedback training may improve cognitive function in patients with neurological disorders. However, the underlying cerebral mechanisms of such improvements are poorly understood. Therefore, we aimed to investigate MRI correlates of cognitive improvement after EEG-based neurofeedback training in patients with MS (pwMS). Methods: Fourteen pwMS underwent ten neurofeedback training sessions within 3–4 weeks at home using a tele-rehabilitation system. Half of the pwMS (N = 7, responders) learned to self-regulate sensorimotor rhythm (SMR, 12–15 Hz) by visual feedback and improved cognitively after training, whereas the remainder (non-responders, n = 7) did not. Diffusion-tensor imaging and resting-state fMRI of the brain was performed before and after training. We analyzed fractional anisotropy (FA) and functional connectivity (FC) of the default-mode, sensorimotor (SMN) and salience network (SAL). Results: At baseline, responders and non-responders were comparable regarding sex, age, education, disease duration, physical and cognitive impairment, and MRI parameters. After training, compared to non-responders, responders showed increased FA and FC within the SAL and SMN. Cognitive improvement correlated with increased FC in SAL and a correlation trend with increased FA was observed. Conclusions: This exploratory study suggests that successful neurofeedback training may not only lead to cognitive improvement, but also to increases in brain microstructure and functional connectivity.
AB - Objective: Neurofeedback training may improve cognitive function in patients with neurological disorders. However, the underlying cerebral mechanisms of such improvements are poorly understood. Therefore, we aimed to investigate MRI correlates of cognitive improvement after EEG-based neurofeedback training in patients with MS (pwMS). Methods: Fourteen pwMS underwent ten neurofeedback training sessions within 3–4 weeks at home using a tele-rehabilitation system. Half of the pwMS (N = 7, responders) learned to self-regulate sensorimotor rhythm (SMR, 12–15 Hz) by visual feedback and improved cognitively after training, whereas the remainder (non-responders, n = 7) did not. Diffusion-tensor imaging and resting-state fMRI of the brain was performed before and after training. We analyzed fractional anisotropy (FA) and functional connectivity (FC) of the default-mode, sensorimotor (SMN) and salience network (SAL). Results: At baseline, responders and non-responders were comparable regarding sex, age, education, disease duration, physical and cognitive impairment, and MRI parameters. After training, compared to non-responders, responders showed increased FA and FC within the SAL and SMN. Cognitive improvement correlated with increased FC in SAL and a correlation trend with increased FA was observed. Conclusions: This exploratory study suggests that successful neurofeedback training may not only lead to cognitive improvement, but also to increases in brain microstructure and functional connectivity.
KW - Cognitive training
KW - DTI
KW - Multiple sclerosis
KW - Neurofeedback
KW - Resting-state fMRI
UR - http://www.scopus.com/inward/record.url?scp=85103956799&partnerID=8YFLogxK
U2 - 10.1007/s00415-021-10530-9
DO - 10.1007/s00415-021-10530-9
M3 - Article
C2 - 33786666
AN - SCOPUS:85103956799
SN - 0340-5354
VL - 268
SP - 3808
EP - 3816
JO - Journal of Neurology
JF - Journal of Neurology
IS - 10
ER -