Motor execution and fine movements depend on coordinated action of brain function and peripheral muscles. Its portability, ease of use in natural environments, and compatibility with bioelectric measures make fNIRS an optimal choice for studies investigating motor execution.
Ludyga, S., Mücke, M., Colledge, F. M. A., Pühse, U., & Gerber, M. (2019). A Combined EEG-fNIRS Study Investigating Mechanisms Underlying the Association between Aerobic Fitness and Inhibitory Control in Young Adults. Neuroscience, 419, 23-33.
Seidel, O., Carius, D., Roediger, J., Rumpf, S., & Ragert, P. (2019). Changes in neurovascular coupling during cycling exercise measured by multi-distance fNIRS: a comparison between endurance athletes and physically active controls. Experimental brain research, 237(11), 2957-2972.
Heinze, R. A., Vanzella, P., Morais, G. A. Z., & Sato, J. R. “Hand motor learning in a musical context and prefrontal cortex hemodynamic response: a functional near-infrared spectroscopy (fNIRS) study”. Cognitive processing, 1-7
Huang, T., Gu, Q., Deng, Z., Tsai, C., Xue, Y., Zhang, J., ... & Wang, K. (2019). “Executive Function Performance in Young Adults When Cycling at an Active Workstation: An fNIRS Study.” International journal of environmental research and public health, 16(7), 1119.
L. Zhu, S. Li, Y. Li, M. Wang, Y. Li, and J. Yao, “Study on driver’s braking intention identification based on functional near-infrared spectroscopy,” Journal of Intelligent and Connected Vehicles, Dec. 2018.
Y. Liu, Y. Yang, Y. Tsai, R. Wang, and C. Lu, “Brain Activation and Gait Alteration During Cognitive and Motor Dual Task Walking in Stroke—A Functional Near-Infrared Spectroscopy Study,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 12, pp. 2416–2423, Dec. 2018.
W. Wolff, M. Bieleke, A. Hirsch, C. Wienbruch, P. M. Gollwitzer, and J. Schüler, “Increase in prefrontal cortex oxygenation during static muscular endurance performance is modulated by self-regulation strategies,” Scientific Reports, vol. 8, no. 1, p. 15756, Oct. 2018.
S. C. Wriessnegger, G. Bauernfeind, E.-M. Kurz, P. Raggam, and G. R. Müller-Putz, “Imagine squeezing a cactus: Cortical activation during affective motor imagery measured by functional near-infrared spectroscopy,” Brain and Cognition, vol. 126, pp. 13–22, Oct. 2018.
U. Ghafoor, A. Zafar, and K. Hong, “Cortical activation during voluntary and passive movement of human index finger,” in 2018 18th International Conference on Control, Automation and Systems (ICCAS), 2018, pp. 1129–1134.
O. Klempíř et al., “P 024 - Near-infrared spectroscopy patterns of cortical activity during gait in Parkinson’s disease patients treated with DBS STN,” Gait & Posture, vol. 65, pp. 273–275, Sep. 2018.
Y. H. Kim et al., “Long-term intensive locomotion training with wearable hip-assist robot in elderly adults: A preliminary study,” Annals of Physical and Rehabilitation Medicine, vol. 61, p. e340, Jul. 2018.
Y. H. Kim et al., “Cerebral oxygenation patterns during walking with wearable hip-assist robot in elderly adults: A fNIRS study,” Annals of Physical and Rehabilitation Medicine, vol. 61, p. e340, Jul. 2018.
A. Berger, N. H. Pixa, F. Steinberg, and M. Doppelmayr, “Brain Oscillatory and Hemodynamic Activity in a Bimanual Coordination Task Following Transcranial Alternating Current Stimulation (tACS): A Combined EEG-fNIRS Study,” Front Behav Neurosci, vol. 12, Apr. 2018.
R. A. Khan, N. Naseer, N. K. Qureshi, F. M. Noori, H. Nazeer, and M. U. Khan, “fNIRS-based Neurorobotic Interface for gait rehabilitation,” Journal of NeuroEngineering and Rehabilitation, vol. 15, no. 1, p. 7, Feb. 2018.
S. Perry et al., “Getting to the Root of Fine Motor Skill Performance in Dentistry: Brain Activity During Dental Tasks in a Virtual Reality Haptic Simulation,” J Med Internet Res, vol. 19, no. 12, Dec. 2017.
O. Seidel, D. Carius, R. Kenville, and P. Ragert, “Motor learning in a complex balance task and associated neuroplasticity: a comparison between endurance athletes and nonathletes,” Journal of Neurophysiology, vol. 118, no. 3, pp. 1849–1860, Sep. 2017.
S. M. H. Hosseini et al., “Neural, physiological, and behavioral correlates of visuomotor cognitive load,” Scientific Reports, vol. 7, no. 1, Dec. 2017.
R. Kenville, T. Maudrich, D. Carius, and P. Ragert, “Hemodynamic Response Alterations in Sensorimotor Areas as a Function of Barbell Load Levels during Squatting: An fNIRS Study,” Front Hum Neurosci, vol. 11, May 2017.
K. N. de Winkel, A. Nesti, H. Ayaz, and H. H. Bülthoff, “Neural correlates of decision making on whole body yaw rotation: An fNIRS study,” Neuroscience Letters, vol. 654, no. Supplement C, pp. 56–62, Jul. 2017.
A. C. de Lima-Pardini et al., “Measuring cortical motor hemodynamics during assisted stepping ? An fNIRS feasibility study of using a walker,” Gait & Posture, vol. 56, pp. 112–118, Jul. 2017.
M. Balconi, D. Crivelli, and L. Cortesi, “Transitive Versus Intransitive Complex Gesture Representation: A Comparison Between Execution, Observation and Imagination by fNIRS,” Applied Psychophysiology and Biofeedback, Jun. 2017.
M. Abtahi, A. Amiri, D. Byrd, and K. Mankodiya, “Hand Motion Detection in fNIRS Neuroimaging Data,” Healthcare, vol. 5, no. 2, p. 20, Apr. 2017.
J. B. Balardin, G. A. Z. Morais, R. A. Furucho, L. R. Trambaiolli, and J. R. Sato, “Impact of communicative head movements on the quality of functional near-infrared spectroscopy signals: negligible effects for affirmative and negative gestures and consistent artifacts related to raising eyebrows,” J. Biomed. Opt, vol. 22, no. 4, pp. 046010–046010, 2017.
M. Balconi, L. Cortesi, and D. Crivelli, “Motor planning and performance in transitive and intransitive gesture execution and imagination: Does EEG (RP) activity predict hemodynamic (fNIRS) response?,” Neuroscience Letters, vol. 648, pp. 59–65, May 2017.
M. Abtahi, A. M. Amiri, D. Byrd, and K. Mankodiya, “Hand Motion Detection in fNIRS Neuroimaging Data,” Healthcare, vol. 5, no. 2, p. 20, Apr. 2017.
N. H. Kashou, B. M. Giacherio, R. W. Nahhas, and S. R. Jadcherla, “Hand-grasping and finger tapping induced similar functional near-infrared spectroscopy cortical responses,” Neurophotonics, vol. 3, no. 2, p. 25006, Apr. 2016.
A. M. Kempny et al., “Functional near infrared spectroscopy as a probe of brain function in people with prolonged disorders of consciousness,” NeuroImage: Clinical, vol. 12, pp. 312–319, Feb. 2016.
M.-H. Lee, B.-J. Kim, and S.-W. Lee, “Quantifying movement intentions with multimodal neuroimaging for functional electrical stimulation-based rehabilitation,” Neuroreport, vol. 27, no. 2, pp. 61–66, Jan. 2016.
D. Carius, C. Andrä, M. Clauß, P. Ragert, M. Bunk, and J. Mehnert, “Hemodynamic Response Alteration As a Function of Task Complexity and Expertise—An fNIRS Study in Jugglers,” Front. Hum. Neurosci, p. 126, 2016.
A. P. Buccino, H. O. Keles, and A. Omurtag, “Hybrid EEG-fNIRS Asynchronous Brain-Computer Interface for Multiple Motor Tasks,” PLOS ONE, vol. 11, no. 1, p. e0146610, Jan. 2016.
M. Balconi and L. Cortesi, “Brain Activity (fNIRS) in Control State Differs from the Execution and Observation of Object-Related and Object-Unrelated Actions,” J Mot Behav, vol. 48, no. 4, pp. 289–296, Aug. 2016.
S. Tak, A. M. Kempny, K. J. Friston, A. P. Leff, and W. D. Penny, “Dynamic causal modelling for functional near-infrared spectroscopy,” Neuroimage, vol. 111, pp. 338–349, May 2015.
C.-F. Lu, Y.-C. Liu, Y.-R. Yang, Y.-T. Wu, and R.-Y. Wang, “Maintaining Gait Performance by Cortical Activation during Dual-Task Interference: A Functional Near-Infrared Spectroscopy Study,” PLOS ONE, vol. 10, no. 6, p. e0129390, Jun. 2015.
S. E. Kober, G. Bauernfeind, C. Woller, M. Sampl, P. Grieshofer, C. Neuper, and G. Wood, “Hemodynamic Signal Changes Accompanying Execution and Imagery of Swallowing in Patients with Dysphagia: A Multiple Single-Case Near-Infrared Spectroscopy Study,” Front Neurol, vol. 6, Jul. 2015.
I. Helmich, H. Holle, R. Rein, and H. Lausberg, “Brain oxygenation patterns during the execution of tool use demonstration, tool use pantomime, and body-part-as-object tool use,” Int J Psychophysiol, vol. 96, no. 1, pp. 1–7, Apr. 2015.
M. Brunetti, N. Morkisch, C. Fritzsch, J. Mehnert, J. Steinbrink, M. Niedeggen, and C. Dohle, “Potential determinants of efficacy of mirror therapy in stroke patients--A pilot study,” Restor. Neurol. Neurosci., vol. 33, no. 4, pp. 421–434, 2015.
W. Guo, P. Yao, X. Sheng, H. Liu, and X. Zhu, “A wireless wearable sEMG and NIRS acquisition system for an enhanced human-computer interface,” in 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014, pp. 2192–2197.
S. K. Piper, A. Krueger, S. P. Koch, J. Mehnert, C. Habermehl, J. Steinbrink, H. Obrig, and C. H. Schmitz, “A wearable multi-channel fNIRS system for brain imaging in freely moving subjects,” Neuroimage, vol. 85 Pt 1, pp. 64–71, Jan. 2014.
M. J. Khan, M. J. Hong, and K.-S. Hong, “Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface,” Front Hum Neurosci, vol. 8, p. 244, 2014.
K.-S. Hong and H.-D. Nguyen, “State-space models of impulse hemodynamic responses over motor, somatosensory, and visual cortices,” Biomed Opt Express, vol. 5, no. 6, pp. 1778–1798, May 2014.
R. Beurskens, I. Helmich, R. Rein, and O. Bock, “Age-related changes in prefrontal activity during walking in dual-task situations: A fNIRS study,” International Journal of Psychophysiology, vol. 92, no. 3, pp. 122–128, Jun. 2014.
N. Naseer and K.-S. Hong, “Classification of functional near-infrared spectroscopy signals corresponding to the right- and left-wrist motor imagery for development of a brain?computer interface,” Neuroscience Letters, vol. 553, pp. 84–89, Oct. 2013.
I. Helmich, R. Rein, N. Niermann, and H. Lausberg, “Hemispheric differences of motor execution: a near-infrared spectroscopy study,” Adv. Exp. Med. Biol., vol. 789, pp. 59–64, 2013.
S. Waldert, L. Tüshaus, C. P. Kaller, A. Aertsen, and C. Mehring, “fNIRS Exhibits Weak Tuning to Hand Movement Direction,” PLOS ONE, vol. 7, no. 11, p. e49266, Nov. 2012.
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