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Yin J, Xu G, Xie H, Liu Y, Dou Z, Shao B, Li Z. Effects of different frequencies music on cortical responses and functional connectivity in patients with minimal conscious state. JOURNAL OF BIOPHOTONICS 2024; 17:e202300427. [PMID: 38303080 DOI: 10.1002/jbio.202300427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 12/04/2023] [Accepted: 12/19/2023] [Indexed: 02/03/2024]
Abstract
The objective of this study was to investigate brain activation and functional network patterns during musical interventions in different frequency bands using functional near-infrared spectroscopy, and to provide a basis for more effective music therapy strategy selection for patients in minimally conscious state (MCS). Twenty six MCS patients and 20 healthy people were given music intervention with low frequency (31-180 Hz), medium frequency (180-4k Hz), and high frequency (4k-22k Hz) audio. In MCS patients, low frequency music intervention induced activation of left prefrontal cortex and left primary sensory cortex (S1), also a left-hemisphere lateralization effect of dorsolateral prefrontal cortex (DLPFC). And the functional connectivity of right DLPFC-right S1 was significantly improved by high frequency music intervention. The low frequency and high frequency music may contribute more than medium frequency music to the recovery of consciousness. This study also validated the effectiveness of fNIRS in studies of brain function in MCS patients.
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Affiliation(s)
- Jiahui Yin
- School of Physical Education, Shanghai University of Sport, Shanghai, China
| | - Gongcheng Xu
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Hui Xie
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Ying Liu
- Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China
- Key Laboratory of Neuro-Functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, Beijing, China
| | - Zulin Dou
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Bin Shao
- School of Physical Education, Shanghai University of Sport, Shanghai, China
| | - Zengyong Li
- Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China
- Key Laboratory of Neuro-Functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, Beijing, China
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Xu G, Chen T, Yin J, Shao G, Fan Y, Li Z. Lateralization of cortical activity, networks, and hemodynamic lag after stroke: A resting-state fNIRS study. JOURNAL OF BIOPHOTONICS 2024:e202400012. [PMID: 38659122 DOI: 10.1002/jbio.202400012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 03/11/2024] [Accepted: 03/17/2024] [Indexed: 04/26/2024]
Abstract
Focal damage due to stroke causes widespread abnormal changes in brain function and hemispheric asymmetry. In this study, functional near-infrared spectroscopy (fNIRS) was used to collect resting-state hemoglobin data from 85 patients with subacute stroke and 26 healthy controls, to comparatively analyze the characteristics of lateralization after stroke in terms of cortical activity, functional networks, and hemodynamic lags. Higher intensity of motor cortical activity, lower hemispheric autonomy, and more abnormal hemodynamic leads or lags were found in the affected hemisphere. Lateralization metrics of the three aspects were all associated with the Fugl-Meyer score. The results of this study prove that three lateralization metrics may provide clinical reference for stroke rehabilitation. Meanwhile, the present study piloted the use of resting-state fNIRS for analyzing hemodynamic lag, demonstrating the potential of fNIRS to assess hemodynamic abnormalities in addition to the study of cortical neurological function after stroke.
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Affiliation(s)
- Gongcheng Xu
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China
| | - Tiandi Chen
- Nanchang Key Laboratory of Medical and Technology Research, Nanchang University, Nanchang, Jiangxi, China
| | - Jiahui Yin
- School of Physical Education, Shanghai University of Sport, Shanghai, China
| | - Guangjian Shao
- School of Mechatronic Engineering and Automation, Foshan University, Foshan, China
| | - Yubo Fan
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- School of Engineering Medicine, Beihang University, Beijing, China
| | - Zengyong Li
- Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China
- Key Laboratory of Neuro-functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, National Research Center for Rehabilitation Technical Aids, Beijing, China
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Kong Y, Peng W, Li J, Zhu C, Zhang C, Fan Y. Alteration in brain functional connectivity in patients with post-stroke cognitive impairment during memory task: A fNIRS study. J Stroke Cerebrovasc Dis 2023; 32:107280. [PMID: 37517137 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 07/11/2023] [Accepted: 07/24/2023] [Indexed: 08/01/2023] Open
Abstract
OBJECTIVE This study attempted to evaluate the functional connectivity (FC) in relevant cortex areas during three memory tasks using the functional near-infrared spectroscopy (fNIRS) method to expound the neural mechanisms in individuals with post-stroke cognitive impairment (PSCI). METHODS Short-term memory and visuospatial abilities were assessed using the clock drawing test, digit span test, and Corsi Block-tapping tests with simultaneous fNIRS. The oxygenated hemoglobin concentration signals were recorded from the bilateral motor sense cortex (LMS/RMS) and prefrontal lobe (LPFT/PFT/RPFT) of 19 subjects with cognitive impairment (PSCI group), 27 stroke subjects (STR group) and 26 healthy subjects (HC group). RESULTS MMSE scores were positively correlated with the clock drawing test and digit span test scores but not with Corsi Block-tapping scores. During each test, functional connectivity between the bilateral MS (LMS/RMS) was highest within each group, but the functional connectivity between motor sense cortex and frontal lobe was lowest. PSCI group showed decreased FC between bilateral motor sense cortex (P < 0.05) and between motor sense cortex and frontal lobe (P > 0.05) during clock drawing test and Corsi Block-tapping test while decreased FC between each region of interest during digit span test with no significant difference. Functional connectivity levels were closely related to MMSE scores. CONCLUSIONS Decreased functional connectivity level may be a marker of impaired cognitive function in post-stroke cognitive impairment. The fNIRS-based functional connectivity provides a non-invasive method to recognize cognitive impairment post-stroke. Functional connectivity changes may help to further understand the neural mechanisms of cognitive impairment post stroke.
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Affiliation(s)
- Ying Kong
- Department of Rehabilitation, the Second Xiangya Hospital, Central South University, No. 139, Renmin Rd. Furong District, Changsha 410011, Hunan China
| | - Wenna Peng
- Department of Rehabilitation, the Second Xiangya Hospital, Central South University, No. 139, Renmin Rd. Furong District, Changsha 410011, Hunan China
| | - Jing Li
- Department of Rehabilitation, the Second Xiangya Hospital, Central South University, No. 139, Renmin Rd. Furong District, Changsha 410011, Hunan China
| | - Chunjiao Zhu
- Department of Rehabilitation, the Second Xiangya Hospital, Central South University, No. 139, Renmin Rd. Furong District, Changsha 410011, Hunan China
| | - Changjie Zhang
- Department of Rehabilitation, the Second Xiangya Hospital, Central South University, No. 139, Renmin Rd. Furong District, Changsha 410011, Hunan China
| | - Yongmei Fan
- Department of Rehabilitation, the Second Xiangya Hospital, Central South University, No. 139, Renmin Rd. Furong District, Changsha 410011, Hunan China.
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Bu L, Qu J, Zhao L, Zhang Y, Wang Y. A neuroergonomic approach to assessing motor performance in stroke patients using fNIRS and behavioral data. APPLIED ERGONOMICS 2023; 109:103979. [PMID: 36689868 DOI: 10.1016/j.apergo.2023.103979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 01/15/2023] [Accepted: 01/18/2023] [Indexed: 06/17/2023]
Abstract
Stroke is characterized by high morbidity and disability, and proposing effective methods for assessing and designing rehabilitation products is an attractive topic in current research. In this study, a hand function rehabilitation aid was developed for stroke patients. Ten stroke patients and 20 healthy older people as a control group were recruited to perform a 600 s task after a 600 s resting by gripping a stick while clicking on a flashing light in an electronic insert in sequence according to a pattern. The functional near-infrared spectroscopy (fNIRS) and behavioral data were collected during their rehabilitation training. Brain function was analyzed using three indicators, namely brain area activation, functional connectivity and effective connectivity, while behavioral performance was analyzed using ten indicators, such as velocity and acceleration, and correlations were made between both. Followed by proposing a quantitative assessment method based on the fusion of multiple data sources. The results showed that the developed rehabilitation tool could effectively stimulate the patient's brain and help recover their cognitive and behavioral capacities. The scientific validity of the proposed assessment approach was further confirmed by contrasting the data results of the stroke group with those of the healthy elderly group. This study has integrated brain function and behavioral data, providing a practical quantitative evaluation method of product ergonomics and data-driven product design concepts for stroke patients.
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Affiliation(s)
- Lingguo Bu
- Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, 250101, China; School of Software, Shandong University, Jinan, 250101, China.
| | - Jing Qu
- Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, 250101, China; School of Software, Shandong University, Jinan, 250101, China
| | - Lei Zhao
- School of Mechanical and Electronic Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Yanjie Zhang
- Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong SAR, China
| | - Yonghui Wang
- Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, 250012, China.
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Huo C, Sun Z, Xu G, Li X, Xie H, Song Y, Li Z, Wang Y. fNIRS-based brain functional response to robot-assisted training for upper-limb in stroke patients with hemiplegia. Front Aging Neurosci 2022; 14:1060734. [PMID: 36583188 PMCID: PMC9793407 DOI: 10.3389/fnagi.2022.1060734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 11/23/2022] [Indexed: 12/14/2022] Open
Abstract
Background Robot-assisted therapy (RAT) has received considerable attention in stroke motor rehabilitation. Characteristics of brain functional response associated with RAT would provide a theoretical basis for choosing the appropriate protocol for a patient. However, the cortical response induced by RAT remains to be fully elucidated due to the lack of dynamic brain functional assessment tools. Objective To guide the implementation of clinical therapy, this study focused on the brain functional responses induced by RAT in patients with different degrees of motor impairment. Methods A total of 32 stroke patients were classified into a low score group (severe impairment, n = 16) and a high score group (moderate impairment, n = 16) according to the motor function of the upper limb and then underwent RAT training in assistive mode with simultaneous cerebral haemodynamic measurement by functional near-infrared spectroscopy (fNIRS). Functional connectivity (FC) and the hemisphere autonomy index (HAI) were calculated based on the wavelet phase coherence among fNIRS signals covering bilateral prefrontal, motor and occipital areas. Results Specific cortical network response related to RAT was observed in patients with unilateral moderate-to-severe motor deficits in the subacute stage. Compared with patients with moderate dysfunction, patients with severe impairment showed a wide range of significant FC responses in the bilateral hemispheres induced by RAT with the assistive mode, especially task-related involvement of ipsilesional supplementary motor areas. Conclusion Under assisted mode, RAT-related extensive cortical response in patients with severe dysfunction might contribute to brain functional organization during motor performance, which is considered the basic neural substrate of motor-related processes. In contrast, the limited cortical response related to RAT in patients with moderate dysfunction may indicate that the training intensity needs to be adjusted in time according to the brain functional state. fNIRS-based assessment of brain functional response assumes great importance for the customization of an appropriate protocol training in the clinical practice.
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Affiliation(s)
- Congcong Huo
- Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, Shandong, China,Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China,Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China
| | - Zhifang Sun
- Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Gongcheng Xu
- Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, Shandong, China,Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Xinglou Li
- Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Hui Xie
- Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, Shandong, China,Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Ying Song
- Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Zengyong Li
- Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China,Key Laboratory of Rehabilitation Aids Technology and System of the Ministry of Civil Affairs, Beijing, China,*Correspondence: Zengyong Li,
| | - Yonghui Wang
- Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, Shandong, China,Yonghui Wang,
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Gao T, Zou C, Li J, Han C, Zhang H, Li Y, Tang X, Fan Y. Identification of moyamoya disease based on cerebral oxygen saturation signals using machine learning methods. JOURNAL OF BIOPHOTONICS 2022; 15:e202100388. [PMID: 35102703 DOI: 10.1002/jbio.202100388] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 01/28/2022] [Accepted: 01/31/2022] [Indexed: 06/14/2023]
Abstract
Moyamoya is a cerebrovascular disease with a high mortality rate. Early detection and mechanistic studies are necessary. Near-infrared spectroscopy (NIRS) was used to study the signals of the cerebral tissue oxygen saturation index (TOI) and the changes in oxygenated and deoxygenated hemoglobin concentrations (HbO and Hb) in 64 patients with moyamoya disease and 64 healthy volunteers. The wavelet transforms (WT) of TOI, HbO and Hb signals, as well as the wavelet phase coherence (WPCO) of these signals from the left and right frontal lobes of the same subject, were calculated. Features were extracted from the spontaneous oscillations of TOI, HbO and Hb in five physiological activity-related frequency segments. Machine learning models based on support vector machine (SVM), random forest (RF) and extreme gradient boosting (XGBoost) have been built to classify the two groups. For 20-min signals, the 10-fold cross-validation accuracies of SVM, RF and XGBoost were 87%, 85% and 85%, respectively. For 5-min signals, the accuracies of the three methods were 88%, 88% and 84%, respectively. The method proposed in this article has potential for detecting and screening moyamoya with high proficiency. Evaluating the cerebral oxygenation with NIRS shows great potential in screening moyamoya diseases.
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Affiliation(s)
- Tianxin Gao
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Chuyue Zou
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Jinyu Li
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Cong Han
- Department of Neurosurgery, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Houdi Zhang
- Department of Neurosurgery, Chinese PLA General Hospital, Beijing, China
| | - Yue Li
- School of Medicine, Tsinghua University, Beijing, China
| | - Xiaoying Tang
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Yingwei Fan
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
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Yuan Z, Xu W, Bao J, Gao H, Li W, Peng Y, Wang L, Zhao Y, Song S, Qiao J, Wang G. Task-State Cortical Motor Network Characteristics by Functional Near-Infrared Spectroscopy in Subacute Stroke Show Hemispheric Dominance. Front Aging Neurosci 2022; 14:932318. [PMID: 35813955 PMCID: PMC9263394 DOI: 10.3389/fnagi.2022.932318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/06/2022] [Indexed: 11/13/2022] Open
Abstract
Background There was a reorganization of the brain network after stroke. Some studies have compared the characteristics of activation or functional connectivity (FC) of cortical and subcortical regions between the dominant and non-dominant hemisphere stroke. Objectives To analyze hemispheric dominance differences in task-state motor network properties in subacute stroke by functional near-infrared spectroscopy (fNIRS). Materials and Methods Patients with first ischemic stroke in the basal ganglia within 1–3 months after onset and age- and sex-matched right-handed healthy subjects (HS) were enrolled. fNIRS with 29 channels was used to detect the oxyhemoglobin concentration changes when performing the hand grasping task. Activation patterns of motor cortex and two macroscale and two mesoscale brain network indicators based on graph theory were compared between dominant and non-dominant hemisphere stroke. Results We enrolled 17 subjects in each of left hemisphere stroke (LHS), right hemisphere stroke (RHS), and HS groups. Both patient groups showed bilateral activation. The average weighted clustering coefficient and global efficiency of patients were lower than those of healthy people, and the inter-density was higher than that of the HS group, but the significance was different between LHS and RHS groups. The intra-density changes in the RHS group were opposite to those in the LHS group. The correlation between mesoscale indicators and motor function differed between dominant and non-dominant hemisphere stroke. Conclusion The changes in macroscale cortical network indicators were similar between the two patient groups, while those of the mesoscale indicators were different. The mesoscale brain network characteristics were affected by the severity of dysfunction to varying degrees in the LHS and RHS patients.
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Affiliation(s)
- Ziwen Yuan
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Sciences and Technology, Xi’an Jiaotong University, Xi’an, China
- Department of Rehabilitation, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Weiwei Xu
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Sciences and Technology, Xi’an Jiaotong University, Xi’an, China
| | - Jiameng Bao
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Sciences and Technology, Xi’an Jiaotong University, Xi’an, China
| | - Hui Gao
- College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Wen Li
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Sciences and Technology, Xi’an Jiaotong University, Xi’an, China
| | - Yu Peng
- Department of Rehabilitation, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Lisha Wang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Sciences and Technology, Xi’an Jiaotong University, Xi’an, China
- Department of Rehabilitation, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Ye Zhao
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Sciences and Technology, Xi’an Jiaotong University, Xi’an, China
- Department of Rehabilitation, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Siming Song
- Department of Rehabilitation, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Jin Qiao
- Department of Rehabilitation, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Jin Qiao,
| | - Gang Wang
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Sciences and Technology, Xi’an Jiaotong University, Xi’an, China
- Gang Wang,
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Peng Y, Li C, Chen Q, Zhu Y, Sun L. Functional Connectivity Analysis and Detection of Mental Fatigue Induced by Different Tasks Using Functional Near-Infrared Spectroscopy. Front Neurosci 2022; 15:771056. [PMID: 35368967 PMCID: PMC8964790 DOI: 10.3389/fnins.2021.771056] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 12/21/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives The objective of this study was to investigate common functional near-infrared spectroscopy (fNIRS) features of mental fatigue induced by different tasks. In addition to distinguishing fatigue from non-fatigue state, the early signs of fatigue were also studied so as to give an early warning of fatigue. Methods fNIRS data from 36 participants were used to investigate the common character of functional connectivity network corresponding to mental fatigue, which was induced by psychomotor vigilance test (PVT), cognitive work, or simulated driving. To analyze the network reorganizations quantitatively, clustering coefficient, characteristic path length, and small worldness were calculated in five sub-bands (0.6–2.0, 0.145–0.600, 0.052–0.145, 0.021–0.052, and 0.005–0.021 Hz). Moreover, we applied a random forest method to classify three fatigue states. Results In a moderate fatigue state: the functional connectivity strength between brain regions increased overall in 0.021–0.052 Hz, and an asymmetrical pattern of connectivity (right hemisphere > left hemisphere) was presented. In 0.052–0.145 Hz, the connectivity strength decreased overall, the clustering coefficient decreased, and the characteristic path length increased significantly. In severe fatigue state: in 0.021–0.052 Hz, the brain network began to deviate from a small-world pattern. The classification accuracy of fatigue and non-fatigue was 85.4%. The classification accuracy of moderate fatigue and severe fatigue was 82.8%. Conclusion The preliminary research demonstrates the feasibility of detecting mental fatigue induced by different tasks, by applying the functional network features of cerebral hemoglobin signal. This universal and robust method has the potential to detect early signs of mental fatigue and prevent relative human error in various working environments.
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Affiliation(s)
- Yaoxing Peng
- The Key Laboratory of Robotics System of Jiangsu Province School of Mechanical Electric Engineering Soochow University, Suzhou, China
| | - Chunguang Li
- The Key Laboratory of Robotics System of Jiangsu Province School of Mechanical Electric Engineering Soochow University, Suzhou, China
- *Correspondence: Chunguang Li,
| | - Qu Chen
- Mathematics Teaching and Research Section, Basic Course Department, Communication Sergeant School of Army Engineering University, Chongqing, China
- Qu Chen,
| | - Yufei Zhu
- The Key Laboratory of Robotics System of Jiangsu Province School of Mechanical Electric Engineering Soochow University, Suzhou, China
| | - Lining Sun
- The Key Laboratory of Robotics System of Jiangsu Province School of Mechanical Electric Engineering Soochow University, Suzhou, China
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9
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Yang C, Zhang T, Huang K, Xiong M, Liu H, Wang P, Zhang Y. Increased both cortical activation and functional connectivity after transcranial direct current stimulation in patients with post-stroke: A functional near-infrared spectroscopy study. Front Psychiatry 2022; 13:1046849. [PMID: 36569623 PMCID: PMC9784914 DOI: 10.3389/fpsyt.2022.1046849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 11/14/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Previous studies have shown that cognitive impairment is common after stroke. Transcranial direct current stimulation (tDCS) is a promising tool for rehabilitating cognitive impairment. This study aimed to investigate the effects of tDCS on the rehabilitation of cognitive impairment in patients with stroke. METHODS Twenty-two mild-moderate post-stroke patients with cognitive impairments were treated with 14 tDCS sessions. A total of 14 healthy individuals were included in the control group. Cognitive function was assessed using the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). Cortical activation was assessed using functional near-infrared spectroscopy (fNIRS) during the verbal fluency task (VFT). RESULTS The cognitive function of patients with stroke, as assessed by the MMSE and MoCA scores, was lower than that of healthy individuals but improved after tDCS. The cortical activation of patients with stroke was lower than that of healthy individuals in the left superior temporal cortex (lSTC), right superior temporal cortex (rSTC), right dorsolateral prefrontal cortex (rDLPFC), right ventrolateral prefrontal cortex (rVLPFC), and left ventrolateral prefrontal cortex (lVLPFC) cortical regions. Cortical activation increased in the lSTC cortex after tDCS. The functional connectivity (FC) between the cerebral hemispheres of patients with stroke was lower than that of healthy individuals but increased after tDCS. CONCLUSION The cognitive and brain functions of patients with mild-to-moderate stroke were damaged but recovered to a degree after tDCS. Increased cortical activation and increased FC between the bilateral cerebral hemispheres measured by fNIRS are promising biomarkers to assess the effectiveness of tDCS in stroke.
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Affiliation(s)
- Caihong Yang
- Department of Rehabilitation Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.,School of Psychology, Central China Normal University, Wuhan, Hubei, China
| | - Tingyu Zhang
- Department of Rehabilitation Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Kaiqi Huang
- The Seventh Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Menghui Xiong
- Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Huiyu Liu
- Department of Rehabilitation Medicine, Yue Bei People's Hospital, Shaoguan, Guangdong, China
| | - Pu Wang
- Department of Rehabilitation Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.,Department of Rehabilitation Medicine, Tianyang District People's Hospital, Baise, Guangxi, China
| | - Yan Zhang
- School of Educational Science, Huazhong University of Science and Technology, Wuhan, Hubei, China
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10
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Tan HX, Wei QC, Chen Y, Xie YJ, Guo QF, He L, Gao Q. The Immediate Effects of Intermittent Theta Burst Stimulation of the Cerebellar Vermis on Cerebral Cortical Excitability During a Balance Task in Healthy Individuals: A Pilot Study. Front Hum Neurosci 2021; 15:748241. [PMID: 34867241 PMCID: PMC8632863 DOI: 10.3389/fnhum.2021.748241] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 10/25/2021] [Indexed: 02/05/2023] Open
Abstract
Objective: This pilot study aimed to investigate the immediate effects of single-session intermittent theta-burst stimulation (iTBS) on the cerebellar vermis during a balance task, which could unveil the changes of cerebral cortical excitability in healthy individuals. Subjects: A total of seven right-handed healthy subjects (26.86 ± 5.30 years) were included in this study. Interventions: Each subject received single-session iTBS on cerebellar vermis in a sitting position. Main Measures: Before and after the intervention, all subjects were asked to repeat the balance task of standing on the left leg three times. Each task consisted of 15 s of standing and 20 s of resting. Real-time changes in cerebral cortex oxygen concentrations were monitored with functional near-infrared spectroscopy (fNIRS). During the task, changes in blood oxygen concentration were recorded and converted into the mean HbO2 for statistical analysis. Results: After stimulation, the mean HbO2 in the left SMA (P = 0.029) and right SMA (P = 0.043) significantly increased compared with baseline. However, no significant changes of mean HbO2 were found in the bilateral dorsolateral prefrontal lobe (P > 0.05). Conclusion: Single-session iTBS on the cerebellar vermis in healthy adults can increase the excitability of the cerebral cortex in the bilateral supplementary motor areas during balance tasks. Clinical Trial Registration: [www.ClinicalTrials.gov], identifier [ChiCTR2100048915].
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Affiliation(s)
- Hui-Xin Tan
- West China Hospital, Sichuan University, Chengdu, China.,Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Qing-Chuan Wei
- West China Hospital, Sichuan University, Chengdu, China.,Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Chen
- West China Hospital, Sichuan University, Chengdu, China.,Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Yun-Juan Xie
- West China Hospital, Sichuan University, Chengdu, China.,Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Qi-Fan Guo
- West China Hospital, Sichuan University, Chengdu, China.,Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Lin He
- West China Hospital, Sichuan University, Chengdu, China.,Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Qiang Gao
- West China Hospital, Sichuan University, Chengdu, China.,Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
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Sun J, Wang D, Chen S, Pang R, Liu H, Wang J, Zhang Y, Wang C, Yang A. The behavioral significance of resting state network after stroke: A study via graph theory analysis with near-infrared spectroscopy. MEDICINE IN NOVEL TECHNOLOGY AND DEVICES 2021. [DOI: 10.1016/j.medntd.2021.100083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
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Bu L, Qi L, Yan W, Yan Q, Tang Z, Li F, Liu X, Diao C, Li K, Dong G. Acute kick-boxing exercise alters effective connectivity in the brain of females with methamphetamine dependencies. Neurosci Lett 2020; 720:134780. [PMID: 31978497 DOI: 10.1016/j.neulet.2020.134780] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 01/17/2020] [Accepted: 01/20/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Methamphetamine (METH) dependence, especially among women, is a serious global health problem. Kick-boxing exercise can be used to reduce cue-induced craving and develop a healthy lifestyle for female with METH dependencies. This study aimed to assess acute kick-boxing related changes in effective connectivity (EC) in the brain of females with METH dependencies by using functional near-infrared spectroscopy (fNIRS) signals. METHODS The fNIRS signals were continuously recorded from the left and right prefrontal cortices (LPFC/RPFC) and left and right motor cortices (LMC/RMC) of 30 female subjects with methamphetamine dependencies (METH group) and 30 age-matched controls (control group) during resting and kick-boxing exercise (training) periods. EC was calculated in the frequency range of 0.01-0.08 Hz. RESULTS In both resting and training state, the EC levels of METH group were significantly lower than the control group (p < 0.05). The EC levels of control group showed more significantly increased connection types than that of the METH group. CONCLUSION Acute kick-boxing exercise altered EC in the brain of females with METH dependencies. Furthermore, the efficiency of the information flow between different brain regions in the control group was significantly higher than that in the METH group. This study provides a novel and portable assessment technique for METH rehabilitation in females on the basis of fNIRS signals.
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Affiliation(s)
- Lingguo Bu
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798, Singapore; Key Laboratory of High Efficiency and Clean Mechanical Manufacture, School of Mechanical Engineering, Shandong University, Jinan, 250061, China
| | - Liping Qi
- School of Biomedical Engineering, Dalian University of Technology, Dalian, 116024, China
| | - Wu Yan
- Shandong Sport University, Jinan, 250102, China
| | - Qian Yan
- Shandong Sport University, Jinan, 250102, China
| | - Zekun Tang
- Shandong Sport University, Jinan, 250102, China
| | - Furong Li
- Female Compulsory Isolation Drug Rehabilitation Center of Shandong Province, Zibo, 255311, China
| | - Xin Liu
- Drug Rehabilitation Administration of Shandong Province, Jinan, 250014, China
| | - Chunfeng Diao
- Drug Rehabilitation Administration of Shandong Province, Jinan, 250014, China
| | - Kefeng Li
- Shandong Sport University, Jinan, 250102, China.
| | - Guijun Dong
- Shandong Sport University, Jinan, 250102, China.
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