2021
DOI: 10.1016/j.neuroimage.2021.118068
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Longitudinal infant fNIRS channel-space analyses are robust to variability parameters at the group-level: An image reconstruction investigation

Abstract: Highlights First investigation of validity of longitudinal infant channel-space fNIRS analysis. Novel image reconstruction analysis conducted. Variability in array position is dominant factor driving different inferences. Channel-space fNIRS analyses robust to implicit assumptions at group-level. Hope to encourage more widespread use of image reconstruction in infant analyses.

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Cited by 22 publications
(17 citation statements)
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References 63 publications
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“…However, Collins‐Jones et al. (2021) recently used image reconstruction to investigate the effects of variation in array position and head size in channel‐space analysis of longitudinal fNIRS infant data (when head growth is most rapid). Specifically, they investigated the effect of variation in head size and array position on inferences drawn from both individual and group‐level data.…”
Section: Discussionmentioning
confidence: 99%
“…However, Collins‐Jones et al. (2021) recently used image reconstruction to investigate the effects of variation in array position and head size in channel‐space analysis of longitudinal fNIRS infant data (when head growth is most rapid). Specifically, they investigated the effect of variation in head size and array position on inferences drawn from both individual and group‐level data.…”
Section: Discussionmentioning
confidence: 99%
“…For example, there are developmental changes in neurovascular coupling, an issue that remains poorly understood even today, 9 , 10 and changes in the neuroanatomy of the brain which make localization across ages a challenge. 11 , 12 …”
Section: Introductionmentioning
confidence: 99%
“…Beyond the usual practical and methodological difficulties of conducting studies with multiple age groups, this raises a particular challenge for fNIRS. For example, there are developmental changes in neurovascular coupling, an issue that remains poorly understood even today, 9 , 10 and changes in the neuroanatomy of the brain which make localization across ages a challenge 11 , 12 …”
Section: Introductionmentioning
confidence: 99%
“…To counteract this issue, a larger sample size is best. Also, array positioning may suffer in ecological measurements of brain activation, especially in school contexts, as children tend to fidget and that may dislocate head gear causing differences between channel-and image-space, especially at group-level analyses (Collins-Jones et al, 2021). Once again, the remedy lies in larger sample sizes.…”
Section: Discussionmentioning
confidence: 99%
“…In this system, the standardized EEG positions used allows for the probabilistic estimation of virtual spatial registration of fNIRS optodes by matching most likely Montreal Neurological Institute (MNI) coordinates with corresponding fNIRS channels (Singh et al, 2005). Also, EEG positions in accordance with the International Consortium for Brain Mapping (IBCM) head models are a great aid to place optodes (Cutini et al, 2012) and to determine source-detector (array) positions (Collins-Jones et al, 2021). To further strengthen apt placement of optodes, the functional Optodes Location Decider (fOLD) is a useful toolbox with no added cost (Zimeo Morais, Balardin, Sato, 2018).…”
Section: Fnris Technique and Usagementioning
confidence: 99%