scholarly journals Functional Connectivity Within the Fronto-Parietal Network Predicts Complex Task Performance: A fNIRS Study

2021 ◽  
Vol 2 ◽  
Author(s):  
Quentin Chenot ◽  
Evelyne Lepron ◽  
Xavier De Boissezon ◽  
Sébastien Scannella
Keyword(s):  
Functional Connectivity ◽  
Task Performance ◽  
Video Game ◽  
Resting State ◽  
Near Infrared ◽  
Complex Task ◽  
Resting State Functional Connectivity ◽  
Functional Near Infrared Spectroscopy ◽  
Simple Task ◽  
High Level

Performance in complex tasks is essential for many high risk operators. The achievement of such tasks is supported by high-level cognitive functions arguably involving functional activity and connectivity in a large ensemble of brain areas that form the fronto-parietal network. Here we aimed at determining whether the functional connectivity at rest within this network could predict performance in a complex task: the Space Fortress video game. Functional Near Infrared Spectroscopy (fNIRS) data from 32 participants were recorded during a Resting-State period, the completion of a simple version of Space Fortress (monotask) and the original version (multitask). The intrinsic functional connectivity within the fronto-parietal network (i.e., during the Resting-State) was a significant predictor of performance at Space Fortress multitask but not at its monotask version. The same pattern was observed for the functional connectivity during the task. Our overall results suggest that Resting-State functional connectivity within the fronto-parietal network could be used as an intrinsic brain marker for performance prediction of a complex task achievement, but not for simple task performance.

scholarly journals Visual Learning Alters the Spontaneous Activity of the Resting Human Brain: An fNIRS Study

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Haijing Niu ◽  
Hao Li ◽  
Li Sun ◽  
Yongming Su ◽  
Jing Huang ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Functional Connectivity ◽  
Perceptual Learning ◽  
Near Infrared ◽  
Visual Learning ◽  
Orientation Discrimination ◽  
Right Visual Field ◽  
Resting State Functional Connectivity ◽  
Functional Near Infrared Spectroscopy ◽  
High Level

Resting-state functional connectivity (RSFC) has been widely used to investigate spontaneous brain activity that exhibits correlated fluctuations. RSFC has been found to be changed along the developmental course and after learning. Here, we investigated whether and how visual learning modified the resting oxygenated hemoglobin (HbO) functional brain connectivity by using functional near-infrared spectroscopy (fNIRS). We demonstrate that after five days of training on an orientation discrimination task constrained to the right visual field, resting HbO functional connectivity and directed mutual interaction between high-level visual cortex and frontal/central areas involved in the top-down control were significantly modified. Moreover, these changes, which correlated with the degree of perceptual learning, were not limited to the trained left visual cortex. We conclude that the resting oxygenated hemoglobin functional connectivity could be used as a predictor of visual learning, supporting the involvement of high-level visual cortex and the involvement of frontal/central cortex during visual perceptual learning.

scholarly journals Narrowband Resting-State fNIRS Functional Connectivity in Autism Spectrum Disorder

2021 ◽  
Vol 15 ◽  
Author(s):  
Weiting Sun ◽  
Xiaoyin Wu ◽  
Tingzhen Zhang ◽  
Fang Lin ◽  
Huiwen Sun ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Functional Connectivity ◽  
Resting State ◽  
Near Infrared ◽  
Low Frequency ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Resting State Functional Connectivity ◽  
Characteristic Analysis ◽  
Functional Near Infrared Spectroscopy

Hemispheric asymmetry in the power spectrum of low-frequency spontaneous hemodynamic fluctuations has been previously observed in autism spectrum disorder (ASD). This observation may imply a specific narrow-frequency band in which individuals with ASD could show more significant alteration in resting-state functional connectivity (RSFC). To test this assumption, we evaluated narrowband RSFC at several frequencies for functional near-infrared spectroscopy signals recorded from the bilateral temporal lobes on 25 children with ASD and 22 typically developing (TD) children. In several narrow-frequency bands, we observed altered interhemispheric RSFC in ASD. However, in the band of 0.01–0.02 Hz, more mirrored channel pairs (or cortical sites) showed significantly weaker RSFC in the ASD group. Receiver operating characteristic analysis further demonstrated that RSFC in the narrowband of 0.01–0.02 Hz might have better differentiation ability between the ASD and TD groups. This may indicate that the narrowband RSFC could serve as a characteristic for the prediction of ASD.

scholarly journals Effects of HD-tDCS on Resting-State Functional Connectivity in the Prefrontal Cortex: An fNIRS Study

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
M. Atif Yaqub ◽  
Seong-Woo Woo ◽  
Keum-Shik Hong
Keyword(s):  
Graph Theory ◽  
Prefrontal Cortex ◽  
Functional Connectivity ◽  
Resting State ◽  
Near Infrared ◽  
Pearson Correlation ◽  
Brain Diseases ◽  
Resting State Functional Connectivity ◽  
High Definition ◽  
Functional Near Infrared Spectroscopy

Functional connectivity is linked to several degenerative brain diseases prevalent in our aging society. Electrical stimulation is used for the clinical treatment and rehabilitation of patients with many cognitive disorders. In this study, the effects of high-definition transcranial direct current stimulation (HD-tDCS) on resting-state brain networks in the human prefrontal cortex were investigated by using functional near-infrared spectroscopy (fNIRS). The intrahemispheric as well as interhemispheric connectivity changes induced by 1 mA HD-tDCS were examined in 15 healthy subjects. Pearson correlation coefficient-based correlation matrices were generated from filtered time series oxyhemoglobin (ΔHbO) signals and converted into binary matrices. Common graph theory metrics were computed to evaluate the network changes. Systematic interhemispheric, intrahemispheric, and intraregional connectivity analyses demonstrated that the stimulation positively affected the resting-state connectivity in the prefrontal cortex. The poststimulation connectivity was increased throughout the prefrontal region, while focal HD-tDCS effects induced an increased rate of connectivity in the stimulated hemisphere. The graph theory metrics clearly distinguished the prestimulation and poststimulation networks for a range of thresholds. The results of this study suggest that HD-tDCS can be used to increase functional connectivity in the prefrontal cortex. The increase in functional connectivity can be explored clinically for neurorehabilitation of patients with degenerative brain diseases.

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