The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Functional near-infrared spectroscopy in movement science: a systematic review on cortical activity in postural and walking tasks
Open accessAbstract
Safe locomotion is a crucial aspect of human daily living that requires well-functioning motor control processes. The human neuromotor control of daily activities such as walking relies on the complex interaction of subcortical and cortical areas. Technical developments in neuroimaging systems allow the quantification of cortical activation during the execution of motor tasks. Functional near-infrared spectroscopy (fNIRS) seems to be a promising tool to monitor motor control processes in cortical areas in freely moving subjects. However, so far, there is no established standardized protocol regarding the application and data processing of fNIRS signals that limits the comparability among studies. Hence, this systematic review aimed to summarize the current knowledge about application and data processing in fNIRS studies dealing with walking or postural tasks. Fifty-six articles of an initial yield of 1420 publications were reviewed and information about methodology, data processing, and findings were extracted. Based on our results, we outline the recommendations with respect to the design and data processing of fNIRS studies. Future perspectives of measuring fNIRS signals in movement science are discussed.
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Wandering minds: the default network and stimulus-independent thought
Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007) · Science · doi:10.1126/science.1131295 · Cited by 2,792
A wandering mind is an unhappy mind
Killingsworth, M. A., & Gilbert, D. T. (2010) · Science · doi:10.1126/science.1192439 · Cited by 2,575
Ferrari, M., & Quaresima, V. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.049 · Cited by 2,274
Hemispheric asymmetry reduction in older adults: the HAROLD model
Cabeza, R. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.1.85 · Cited by 2,125
HomER: A review of time-series analysis methods for near-infrared spectroscopy of the brain
Huppert, T. J., Diamond, S. G., Franceschini, M. A., & Boas, D. A. (2009) · Applied Optics · doi:10.1364/ao.48.00d280 · Cited by 1,817
Judd, C. M., Westfall, J., & Kenny, D. A. (2012) · Journal of Personality and Social Psychology · doi:10.1037/a0028347 · Cited by 1,236
Modern robust statistical methods: An easy way to maximize the accuracy and power of your research.
Erceg-Hurn, D. M., & Mirosevich, V. M. (2008) · American Psychologist · doi:10.1037/0003-066x.63.7.591 · Cited by 959
Tachtsidis, I., & Scholkmann, F. (2016) · Neurophotonics · doi:10.1117/1.nph.3.3.031405 · Cited by 607
Self-citationMotor and cognitive functions of the ventral premotor cortex
Rizzolatti, G., Fogassi, L., & Gallese, V. (2002) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(02)00308-2 · Cited by 592
Brandt, T. (1998) · Brain · doi:10.1093/brain/121.9.1749 · Cited by 462
Cited by
Herold, F., Wiegel, P., Scholkmann, F., & Müller, N. (2018) · Journal of Clinical Medicine · doi:10.3390/jcm7120466 · Cited by 482
Self-citationA Review on the Use of Wearable Functional Near‐Infrared Spectroscopy in Naturalistic Environments
Pinti, P., Aichelburg, C., Gilbert, S., Hamilton, A., Hirsch, J., Burgess, P., & Tachtsidis, I. (2018) · Japanese Psychological Research · doi:10.1111/jpr.12206 · Cited by 325
Xie, H., Xu, G., Huo, C., Li, W., Zhao, H., Lv, Z., & Li, Z. (2021) · Physical Therapy · doi:10.1093/ptj/pzab140 · Cited by 16
Metadata
- Authors
- Herold, F., Wiegel, P., Scholkmann, F., Thiers, A., Hamacher, D., & Schega, L.
- Venue
- Neurophotonics
- Publisher
- SPIE-Intl Soc Optical Eng
- Published
- 2017-08-01
- Volume
- 4
- Issue
- 4
- Pages
- 041403
- ISSN
- 2329-423X (ISSN-L)
- OpenAlex
- W2740360313
- Cited by
- 314
- References
- 13
- FWCI
- 3.28
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Herold, F., Wiegel, P., Scholkmann, F., Thiers, A., Hamacher, D., & Schega, L. (2017). Functional near-infrared spectroscopy in movement science: a systematic review on cortical activity in postural and walking tasks. Neurophotonics. https://doi.org/10.1117/1.nph.4.4.041403
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