2019
DOI: 10.1117/1.nph.6.2.025005
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Functional near-infrared spectroscopy evidence for the development of topological asymmetry between hemispheric brain networks from childhood to adulthood

Abstract: Functional near-infrared spectroscopy evidence for the development of topological asymmetry between hemispheric brain networks from childhood to adulthood," Neurophoton. 6(2), 025005 (2019), Abstract. Cerebral asymmetry is considered an important marker of the successful development of the human brain. Recent studies have demonstrated topological asymmetries between structurally hemispheric networks in the human brain. However, it remains largely unknown whether and how the functionally topological asymmetries… Show more

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Cited by 18 publications
(26 citation statements)
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“…GE has been proposed and shown to be a robust and reliable biomarker in many fNIRS studies. 21 , 64 69 In most cases resting fNIRS data were used to calculate the FC matrices. GE values were always computed after a threshold value was adapted.…”
Section: Discussionmentioning
confidence: 99%
“…GE has been proposed and shown to be a robust and reliable biomarker in many fNIRS studies. 21 , 64 69 In most cases resting fNIRS data were used to calculate the FC matrices. GE values were always computed after a threshold value was adapted.…”
Section: Discussionmentioning
confidence: 99%
“…With a predetermined sparsity that denotes the number of actual connections divided by the maximum possible number of connections in the network, the correlation matrix was then thresholded into a binary matrix that described the topological organization of the functional networks. As in our previous studies, 36,37 we chose the sparsity of 0.2 to construct the brain network.…”
Section: Functional Connectivity Calculation and Brain Network Constrmentioning
confidence: 99%
“…Approximately, 15.2 ± 3.2% signals of the ASD group and 14.8 ± 2.9% of the TD group were identified as motion artifacts, and no significant groups difference was found (t = 0.524, p = 0.601). The time series signals were then band-pass filtered between 0.009~0.08 Hz [39][40][41][42], and corrected using the 3-order polynomial detrending method. In the end, the signals were corrected against the first time point of the signals as the baseline correction.…”
Section: Data Preprocessingmentioning
confidence: 99%