Cerebral hemodynamic response during a live action-observation and action-execution task: A fNIRS study

Miguel, Helga O.; Condy, Emma; Nguyen, Thien; Zeytinoglu, Selin; Blick, Emily; Bress, Kimberly; Khaksari, Kosar; Dashtestani, Hadis; Millerhagen, John; Shahmohammadi, Sheida; Gandjbakhche, Amir

doi:10.1371/journal.pone.0253788

Cited by 4 publications

(11 citation statements)

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“…FNIRS findings suggested that bilateral superior parietal lobule (SPL), bilateral inferior parietal lobule (IPL), right supra-marginal region (SMG) and right angular gyrus (AG) are candidate regions of the human AON, as previously reported in Miguel et al 53 . Figure 3 represents a summary of our findings.…”

Section: Resultssupporting

confidence: 71%

“…Each trial was followed by a 20 s recovery period during which the participant passively viewed a moving pendulum. For further information on the paradigm we used please see Miguel et al 53 .…”

Section: Methodsmentioning

confidence: 99%

“…fNIRS data were collected using the Hitachi ETG-4100 system equipped with 10 infrared sources and 8 detectors placed over the somatosensory and parietal regions as in our previous fNIRS study investigating the AON 53 . A total of 24 channels (12 per hemisphere) measured changes in oxygenated hemoglobin (HbO) and deoxyhemoglobin (HbR) concentration.…”

Section: Methodsmentioning

confidence: 99%

“…

Figure 1 fNIRS probe design. The picture on the top left shows how the fNIRS probe was embedded within an elastic, 128-electrode electroencephalogram (EEG) cap 53 . The top right, bottom left, and bottom right pictures depict the sensitivity profile for the fNIRS probe geometry generated in AtlasViewer software.…”

Section: Methodsmentioning

confidence: 99%

“…First, we convolved the mean power in the frequency band (8–13 Hz in adults) for each EEG channel with the hemodynamic response function (HRF) using a gamma distribution 62 . AON activation in EEG is characterized by decreased power in the frequency band, whereas in fNIRS, AON activation is indexed by an increase in HbO over specific brain regions, specifically bilateral superior parietal lobule, bilateral inferior parietal lobule, right supra-marginal region and right angular gyrus 53 . To account for the power decrease in EEG, we used the inverse value of the power in the frequency band for EEG prior to applying the HRF convolution.…”

Section: Methodsmentioning

confidence: 99%

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Structured sparse multiset canonical correlation analysis of simultaneous fNIRS and EEG provides new insights into the human action-observation network

Dashtestani

Miguel

Condy

et al. 2022

Sci Rep

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The action observation network (AON) is a network of brain regions involved in the execution and observation of a given action. The AON has been investigated in humans using mostly electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI), but shared neural correlates of action observation and action execution are still unclear due to lack of ecologically valid neuroimaging measures. In this study, we used concurrent EEG and functional Near Infrared Spectroscopy (fNIRS) to examine the AON during a live-action observation and execution paradigm. We developed structured sparse multiset canonical correlation analysis (ssmCCA) to perform EEG-fNIRS data fusion. MCCA is a generalization of CCA to more than two sets of variables and is commonly used in medical multimodal data fusion. However, mCCA suffers from multi-collinearity, high dimensionality, unimodal feature selection, and loss of spatial information in interpreting the results. A limited number of participants (small sample size) is another problem in mCCA, which leads to overfitted models. Here, we adopted graph-guided (structured) fused least absolute shrinkage and selection operator (LASSO) penalty to mCCA to conduct feature selection, incorporating structural information amongst the variables (i.e., brain regions). Benefitting from concurrent recordings of brain hemodynamic and electrophysiological responses, the proposed ssmCCA finds linear transforms of each modality such that the correlation between their projections is maximized. Our analysis of 21 right-handed participants indicated that the left inferior parietal region was active during both action execution and action observation. Our findings provide new insights into the neural correlates of AON which are more fine-tuned than the results from each individual EEG or fNIRS analysis and validate the use of ssmCCA to fuse EEG and fNIRS datasets.

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Section: Resultssupporting

confidence: 71%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Structured sparse multiset canonical correlation analysis of simultaneous fNIRS and EEG provides new insights into the human action-observation network

Dashtestani

Miguel

Condy

et al. 2022

Sci Rep

Self Cite

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Simultaneous multimodal fNIRS-EEG recordings reveal new insights in neural activity during motor execution, observation, and imagery

Dashtestani

Miguel

et al. 2023

Sci Rep

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Motor execution, observation, and imagery are important skills used in motor learning and rehabilitation. The neural mechanisms underlying these cognitive-motor processes are still poorly understood. We used a simultaneous recording of functional near-infrared spectroscopy (fNIRS) and electroencephalogram (EEG) to elucidate the differences in neural activity across three conditions requiring these processes. Additionally, we used a new method called structured sparse multiset Canonical Correlation Analysis (ssmCCA) to fuse the fNIRS and EEG data and determine the brain regions of neural activity consistently detected by both modalities. Unimodal analyses revealed differentiated activation between conditions; however, the activated regions did not fully overlap across the two modalities (fNIRS: left angular gyrus, right supramarginal gyrus, as well as right superior and inferior parietal lobes; EEG: bilateral central, right frontal, and parietal). These discrepancies might be because fNIRS and EEG detect different signals. Using fused fNIRS-EEG data, we consistently found activation over the left inferior parietal lobe, superior marginal gyrus, and post-central gyrus during all three conditions, suggesting that our multimodal approach identifies a shared neural region associated with the Action Observation Network (AON). This study highlights the strengths of using the multimodal fNIRS-EEG fusion technique for studying AON. Neural researchers should consider using the multimodal approach to validate their findings.

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Evaluation of residual cognition in patients with disorders of consciousness based on functional near-infrared spectroscopy

Yang

et al. 2023

Neurophoton.

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. Significance Accurate evaluation of consciousness in patients with prolonged disorders of consciousness (DOC) is critical for designing therapeutic plans, determining rehabilitative services, and predicting prognosis. Effective ways for detecting consciousness in patients with DOC are still needed. Aim Evaluation of the residual awareness in patients with DOC and investigation of the spatiotemporal differences in the hemodynamic responses between the minimally conscious state (MCS) and the unresponsive wakefulness syndrome (UWS) groups using active command-driven motor imagery (MI) tasks. Approach In this study, functional near-infrared spectroscopy (fNIRS) was used to measure the changes of hemodynamic responses in 19 patients with DOC (9 MCS and 10 UWS) using active command-driven MI tasks. The characteristics of the hemodynamic responses were extracted to compare the differences between the MCS and UWS groups. Moreover, the correlations between the hemodynamic responses and the clinical behavioral evaluations were also studied. Results The results showed significant differences in the spatiotemporal distribution of the hemodynamic responses between the MCS and UWS groups. For the patients with MCS, significant increases in task-evoked hemodynamic responses occurred during the “YES” questions of the command-driven MI tasks. Importantly, these changes were significantly correlated with their coma-recovery scale-revised (CRS-R) scores. However, for the patients with UWS, no significant changes of the hemodynamic responses were found. Additionally, the results did not show any statistical correlation between the hemodynamic responses and their CRS-R scores. Conclusions The fNIRS-based command-driven MI tasks can be used as a promising tool for detecting residual awareness in patients with DOC. We hope that the findings and the active paradigm used in this study will provide useful insights into the diagnosis, therapy, and prognosis of this challenging patient population.

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Cerebral hemodynamic response during a live action-observation and action-execution task: A fNIRS study

Cited by 4 publications

References 69 publications

Structured sparse multiset canonical correlation analysis of simultaneous fNIRS and EEG provides new insights into the human action-observation network

Structured sparse multiset canonical correlation analysis of simultaneous fNIRS and EEG provides new insights into the human action-observation network

Simultaneous multimodal fNIRS-EEG recordings reveal new insights in neural activity during motor execution, observation, and imagery

Evaluation of residual cognition in patients with disorders of consciousness based on functional near-infrared spectroscopy

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