2022
DOI: 10.1016/j.cortex.2022.05.009
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Scale invariance in fNIRS as a measurement of cognitive load

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Cited by 11 publications
(14 citation statements)
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“…The SNI is an objective tool used to identify channels with high systematic noise. Similar to Zhuang et al [53], we identified 'bad' channels as those with a SNI < 2. The total number of 'bad' channels for HbO was 11 and for HbR was 31 out of a total of 2,772 channels (number of channels x number of participants x two conditions).…”
Section: Fnirs Data Preprocessing and Analysissupporting
confidence: 73%
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“…The SNI is an objective tool used to identify channels with high systematic noise. Similar to Zhuang et al [53], we identified 'bad' channels as those with a SNI < 2. The total number of 'bad' channels for HbO was 11 and for HbR was 31 out of a total of 2,772 channels (number of channels x number of participants x two conditions).…”
Section: Fnirs Data Preprocessing and Analysissupporting
confidence: 73%
“…Two data quality checks were implemented, one pre and one post subject-level analysis. First, we calculated the Structured Noise Index (SNI) of HbO and HbR data, as described in Zhuang et al [ 53 ]. The SNI is an objective tool used to identify channels with high systematic noise.…”
Section: Discussionmentioning
confidence: 99%
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“…The non-invasive optical method fNIRS can detect hemodynamic alterations in the cortex by quantifying changes in near-infrared light that pass through the skull ( 24 , 25 ). This technique has been proven to be effective in assessing cortical-activity responses to alterations in oxygenation based on the association of neuronal activity to regional cerebral blood flow ( 26 , 27 ). Unlike other neuroimaging techniques, including fMRI, fNIRS has many advantages, which comprise high temporal resolution, low cost, and tolerance of motion artifacts, and relative portability ( 28 , 29 ).…”
Section: Introductionmentioning
confidence: 99%