Letter to the EditorMultimodal integration of fNIRS, fMRI and EEG neuroimaging
Section snippets
Acknowledgements
Dr. Muthalib, Mr. Anwar, Dr. Galka, Prof. Deuschl, Prof. Raethjen, Prof. Heute and Dr. Muthuraman were partly or fully supported by the German Research Foundation SFB855 Grant “Magnetoelectric Composites – Future Biomagnetic Interfaces”.
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Cited by (33)
A review on functional near-infrared spectroscopy and application in stroke rehabilitation
2021, Medicine in Novel Technology and DevicesCitation Excerpt :Recently, many studies based on multimodal approaches (such as EEG-fNIRS and fNIRS-fMRI) [135] have emerged as tools for noninvasively studying cerebral function at multiple spatial and temporal dimensions. Good correlations between the time series measured by EEG, fMRI and fNIRS hve been demonstrated [215]. Therefore, it is suggested that multimodal imaging should be considered in future applications to further verify the reliability of fNIRS results and increase the understanding of the brain.
A consensus guide to using functional near-infrared spectroscopy in posture and gait research
2020, Gait and PostureCitation Excerpt :While similarities were found within these studies, the inherent posture-related difference between the tasks (i.e. supine versus upright) resulted in many differences in regional activation, not necessarily reflective of the task assessed but rather of the method of assessment. In order to further validate fNIRS for balance and gait tasks, studies have used other portable devices such as electroencephalography [152,153] for comparison. However, the properties of hemodynamic response versus electrical physiological response again, are quite different.
A neurophysiological approach to assess training outcome under stress: A virtual reality experiment of industrial shutdown maintenance using Functional Near-Infrared Spectroscopy (fNIRS)
2020, Advanced Engineering InformaticsCitation Excerpt :At last, we only proposed the implementation of using fNIRS to assess individual’s task performance under different training scenarios. Multimodal neuroimaging studies found that compensate EEG system with fNIRS system have been explored to deliver complimentary data on task related neural activations and improve motor task classification model performance [42,43]. A comparison study of using EEG and fNIRS was suggested in our future studies.
Studying brain activity in sports performance: Contributions and issues
2018, Progress in Brain ResearchExtending the limits of force endurance: Stimulation of the motor or the frontal cortex?
2017, CortexCitation Excerpt :In other words, neither anodal HD-tDCS on the PMC nor on the PFC led to a statistically significant improvement in the resistance to muscle fatigue. The absence of this result is in line with other studies that have reported no effects of tDCS on the resistance to muscle fatigue (Khan et al., 2013; Muthalib, Anwar et al., 2013; Muthalib, Kan et al., 2013; Williams et al., 2013). The NIRS technique was performed to control for the efficacy of the HD-tDCS at the stimulated sites.
Neural activity during production of rorschach responses: An fMRI study
2017, Psychiatry Research - Neuroimaging