The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Functional connectivity as revealed by independent component analysis of resting-state fNIRS measurements
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Citations
Cites
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684
A method for making group inferences from functional MRI data using independent component analysis
Calhoun, V. D., Adali, T., Pearlson, G. D., & Pekar, J. J. (2001) · Human Brain Mapping · doi:10.1002/hbm.1048 · Cited by 2,994
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
Frontal theta EEG activity correlates negatively with the default mode network in resting state
Scheeringa, R., Bastiaansen, M. C. M., Petersson, K. M., Oostenveld, R., Norris, D. G., & Hagoort, P. (2008) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2007.05.017 · Cited by 400
Cited by
Cui, X., Bryant, D. M., & Reiss, A. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.003 · Cited by 807
“NIRS is a relatively flexible technology and to date has been successfully applied in several domains [22], including physiological mechanisms of the BOLD response [23-31], non-invasive brain-computer interfaces [32-36], and brain activity in both active tasks and resting states [37-42].”
Social neuroscience and hyperscanning techniques: past, present and future.
Babiloni, F., & Astolfi, L. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.07.006 · Cited by 573
Statistical analysis of fNIRS data: A comprehensive review
Tak, S., & Ye, J. C. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.016 · Cited by 465
Psychosocial deprivation, executive functions and the emergence of socio-emotional behavior problems
McDermott, J. M., Troller-Renfree, S., Vanderwert, R., Nelson, C. A., Zeanah, C. H., & Fox, N. A. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00167 · Cited by 113
Metadata
- Authors
- Zhang, H., Zhang, Y.-J., Lu, C.-M., Ma, S.-Y., Zang, Y.-F., & Zhu, C.-Z.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2010-07
- Volume
- 51
- Issue
- 3
- Pages
- 1150-1161
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1990101864
- Cited by
- 182
- References
- 5
- FWCI
- 7.06
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Functional connectivity as revealed by independent component analysis of resting-state fNIRS measurements. https://app.cochat.ai/papers/10.1016/j.neuroimage.2010.02.080
- The paper
- Zhang, H., Zhang, Y.-J., Lu, C.-M., Ma, S.-Y., Zang, Y.-F., & Zhu, C.-Z. (2010). Functional connectivity as revealed by independent component analysis of resting-state fNIRS measurements. NeuroImage. https://doi.org/10.1016/j.neuroimage.2010.02.080
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
