Sleep deprivation alters task‐related changes in functional connectivity of the frontal cortex: A near‐infrared spectroscopy study

Mukli, Péter; Csípő, Tamás; Lipécz, Ágnes; Stylianou, Orestis; Racz, Frigyes Samuel; Owens, Cameron D.; Perry, Jonathan W.; Tarantini, Stefano; Sorond, Farzaneh A.; Kellawan, J. Mikhail; Purebl, György; Yang, Yuan; Sonntag, William E.; Csiszár, Anna; Ungvári, Zoltán; Yabluchanskiy, Andriy

doi:10.1002/brb3.2135

Cited by 20 publications

(13 citation statements)

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“…We analyze the brain network activation and compare the correlation between the network indicators and kinematic parameters to further search the relationship between brain connectivity and motor control ability. Correlation values were used to construct brain networks in previous studies, and global and local indicators were calculated on the network ( Mukli et al, 2021 ; Xu et al, 2022 ). However, the network constructed by correlation values can only focus on the linear relationship between the two channels, while PLV can study the phase synchronization of non-linear and non-stationary signals, thereby discovering more inter-brain correlations.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, in the present brain network analysis, we employed wavelet transform to obtain the oxyhemoglobin concentration signal in different frequency bands (high-frequency band; 0.145–0.6 Hz and low-frequency band II; 0.021–0.145 Hz) ( Shiogai et al, 2010 ), followed by calculating PLV between each channel from the instantaneous phase of the wavelet, thus constructing the functional connectivity matrix. Finally, we calculated commonly used network indicators, including the local and global efficiency and clustering coefficient, to characterize the functional connectivity of brain regions ( Mukli et al, 2021 ), where the clustering coefficient is a measure of network isolation and global efficiency measures network integration. By contrast, local efficiency represents the ability to integrate adjacent nodes of a given node corresponding to a brain region ( Bullmore and Sporns, 2009 ; Xu et al, 2022 ).…”

Section: Methodsmentioning

confidence: 99%

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The correlations between kinematic profiles and cerebral hemodynamics suggest changes of motor coordination in single and bilateral finger movement

Zhou

Chen

Wang

et al. 2022

Front. Hum. Neurosci.

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ObjectiveThe correlation between the performance of coordination movement and brain activity is still not fully understood. The current study aimed to identify activated brain regions and brain network connectivity changes for several coordinated finger movements with different difficulty levels and to correlate the brain hemodynamics and connectivity with kinematic performance.MethodsTwenty-one right-dominant-handed subjects were recruited and asked to complete circular motions of single and bilateral fingers in the same direction (in-phase, IP) and in opposite directions (anti-phase, AP) on a plane. Kinematic data including radius and angular velocity at each task and synchronized blood oxygen concentration data using functional near-infrared spectroscopy (fNIRS) were recorded covering six brain regions including the prefrontal cortex, motor cortex, and occipital lobes. A general linear model was used to locate activated brain regions, and changes compared with baseline in blood oxygen concentration were used to evaluate the degree of brain region activation. Small-world properties, clustering coefficients, and efficiency were used to measure information interaction in brain activity during the movement.ResultIt was found that the radius error of the dominant hand was significantly lower than that of the non-dominant hand (p < 0.001) in both clockwise and counterclockwise movements. The fNIRS results confirmed that the contralateral brain region was activated during single finger movement and the dominant motor area was activated in IP movement, while both motor areas were activated simultaneously in AP movement. The Δhbo were weakly correlated with radius errors (p = 0.002). Brain information interaction in IP movement was significantly larger than that from AP movement in the brain network (p < 0.02) in the right prefrontal cortex. Brain activity in the right motor cortex reduces motor performance (p < 0.001), while the right prefrontal cortex region promotes it (p < 0.05).ConclusionOur results suggest there was a significant correlation between motion performance and brain activation level, as well as between motion deviation and brain functional connectivity. The findings may provide a basis for further exploration of the operation of complex brain networks.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

The correlations between kinematic profiles and cerebral hemodynamics suggest changes of motor coordination in single and bilateral finger movement

Zhou

Chen

Wang

et al. 2022

Front. Hum. Neurosci.

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show abstract

“…To record cerebral hemodynamic signals in the brain cortex, a NIRScout platform (NIRx Medical Technologies LLC, NY, USA) was utilized similarly to the previous studies. [ 32 , 44 ] This is a continuous wave instrument [ 45 ] that allows for non‐invasive monitoring of changes in the optical density of the probed brain cortical regions, mainly due to changes in oxy‐ and deoxyhemoglobin concentration (HbO and HbR, respectively). The applied montage consisted of 16 sources and 16 photodetectors that covered the frontal cortex according to the international 10–20 system (Figure 8A ) as described in ref.…”

Section: Methodsmentioning

confidence: 99%

“…Characterizing Functional Brain Networks: In case of FC analysis, the short-channel corrected intensity signals were first filtered after discrete wavelet transformation [44,54] and then in the frequency domain using a fifth-order Butterworth filter with a band-pass frequency range of 0.0045-0.4 Hz. These steps reduced the contribution of motion artefacts and other systemic physiological processes to the measured hemodynamic fluctuations.…”

Section: Measurement Protocolmentioning

confidence: 99%

Impaired Neurovascular Coupling and Increased Functional Connectivity in the Frontal Cortex Predict Age‐Related Cognitive Dysfunction

Mukli,

Pinto,

Owens

et al. 2023

Advanced Science

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Impaired cerebrovascular function contributes to the genesis of age‐related cognitive decline. In this study, the hypothesis is tested that impairments in neurovascular coupling (NVC) responses and brain network function predict cognitive dysfunction in older adults. Cerebromicrovascular and working memory function of healthy young (n = 21, 33.2±7.0 years) and aged (n = 30, 75.9±6.9 years) participants are assessed. To determine NVC responses and functional connectivity (FC) during a working memory (n‐back) paradigm, oxy‐ and deoxyhemoglobin concentration changes from the frontal cortex using functional near‐infrared spectroscopy are recorded. NVC responses are significantly impaired during the 2‐back task in aged participants, while the frontal networks are characterized by higher local and global connection strength, and dynamic FC (p < 0.05). Both impaired NVC and increased FC correlate with age‐related decline in accuracy during the 2‐back task. These findings suggest that task‐related brain states in older adults require stronger functional connections to compensate for the attenuated NVC responses associated with working memory load.

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“…Pearson correlation coefficients ( COR ) correlation matrices were conducted to measure the strength of the functional connection between brain channels for each coal mine worker on each shift [ 47 ]. The COR matrix for each shift is the average of the COR matrix between the 22 × 22 channels of each coal mine worker in the 5 min resting state.…”

Section: Methodsmentioning

confidence: 99%

Effect of Shift Work on Cognitive Function in Chinese Coal Mine Workers: A Resting-State fNIRS Study

Tian

et al. 2022

IJERPH

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Aim: Pilot study to examine the impact of shift work on cognitive function in Chinese coal mine workers. Background: Shift work is commonly used in modern industries such as the coal industry, and there is growing concern over the impact that shift work has on miners’ work performance and personal well-being. Method: A total of 54 miners working three shifts (17 in morning shift, 18 in afternoon, and 19 in night shift) participated in this exploratory study. A resting-state fNIRS functional connectivity method was conducted to assess the cognitive ability before and after the work shift. Results: Results showed significant differences in cognitive ability between before and after the work shifts among the three-shift workers. The brain functional connectivity was reduced ranking as the night, afternoon, and morning shifts. Decreased brain functional connectivity at the end of the working shift was found compared with before in the morning and afternoon shifts. Opposite results were obtained during the night shift. The resting-state functional brain networks in the prefrontal cortex of all groups exhibited small-world properties. Significant differences in betweenness centrality and nodal local efficiency were found in the prefrontal cortex in the morning and night shifts. Conclusions: The current findings provide new insights regarding the effect of shift work on the cognitive ability of Chinese coal mine workers from the view of brain science.

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Sleep deprivation alters task‐related changes in functional connectivity of the frontal cortex: A near‐infrared spectroscopy study

Abstract: This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 20 publications

References 113 publications

The correlations between kinematic profiles and cerebral hemodynamics suggest changes of motor coordination in single and bilateral finger movement

The correlations between kinematic profiles and cerebral hemodynamics suggest changes of motor coordination in single and bilateral finger movement

Impaired Neurovascular Coupling and Increased Functional Connectivity in the Frontal Cortex Predict Age‐Related Cognitive Dysfunction

Effect of Shift Work on Cognitive Function in Chinese Coal Mine Workers: A Resting-State fNIRS Study

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