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Tian B, Chen Q, Zou M, Xu X, Liang Y, Liu Y, Hou M, Zhao J, Liu Z, Jiang L. Decreased resting-state functional connectivity and brain network abnormalities in the prefrontal cortex of elderly patients with Parkinson's disease accompanied by depressive symptoms. Glob Health Med 2024; 6:132-140. [PMID: 38690130 PMCID: PMC11043130 DOI: 10.35772/ghm.2023.01043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 12/07/2023] [Accepted: 12/25/2023] [Indexed: 05/02/2024]
Abstract
This study aimed to explore the brain network characteristics in elderly patients with Parkinson's disease (PD) with depressive symptoms. Thirty elderly PD patients with depressive symptoms (PD-D) and 26 matched PD patients without depressive symptoms (PD-NOD) were recruited based on HAMD-24 with a cut-off of 7. The resting-state functional connectivity (RSFC) was conducted by 53-channel functional near-infrared spectroscopy (fNIRS). There were no statistically significant differences in MMSE scores, disease duration, Hoehn-Yahr stage, daily levodopa equivalent dose, and MDS-UPDRS III between the two groups. However, compared to the PD-NOD group, the PD-D group showed significantly higher MDS-UPDRS II, HAMA-14, and HAMD-24. The interhemispheric FC strength and the FC strength between the left dorsolateral prefrontal cortex (DLPFC-L) and the left frontal polar area (FPA-L) was significantly lower in the PD-D group (FDR p < 0.05). As for graph theoretic metrics, the PD-D group had significantly lower degree centrality (aDc) and node efficiency (aNe) in the DLPFC-L and the FPA-L (FDR, p < 0.05), as well as decreased global efficiency (aEg). Pearson correlation analysis indicated moderate negative correlations between HAMD-24 scores and the interhemispheric FC strength, FC between DLPFC-L and FPA-L, aEg, aDc in FPA-L, aNe in DLPFC-L and FPA-L. In conclusion, PD-D patients show decreased integration and efficiency in their brain networks. Furthermore, RSFC between DLPFC-L and FPA-L regions is negatively correlated with depressive symptoms. These findings propose that targeting DLPFC-L and FPA-L regions via non-invasive brain stimulation may be a potential intervention for alleviating depressive symptoms in elderly PD patients.
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Affiliation(s)
- Bingjie Tian
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Qing Chen
- Department of Neurology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Zou
- Emergency Department, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xin Xu
- Department of Nursing, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuqi Liang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Yiyan Liu
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Miaomiao Hou
- Department of Neurology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiahao Zhao
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Zhenguo Liu
- Department of Neurology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liping Jiang
- Department of Nursing, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Lu J, Zhang X, Shu Z, Han J, Yu N. A dynamic brain network decomposition method discovers effective brain hemodynamic sub-networks for Parkinson's disease. J Neural Eng 2024; 21:026047. [PMID: 38621377 DOI: 10.1088/1741-2552/ad3eb6] [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: 01/17/2024] [Accepted: 04/15/2024] [Indexed: 04/17/2024]
Abstract
Objective.Dopaminergic treatment is effective for Parkinson's disease (PD). Nevertheless, the conventional treatment assessment mainly focuses on human-administered behavior examination while the underlying functional improvements have not been well explored. This paper aims to investigate brain functional variations of PD patients after dopaminergic therapy.Approach.This paper proposed a dynamic brain network decomposition method and discovered brain hemodynamic sub-networks that well characterized the efficacy of dopaminergic treatment in PD. Firstly, a clinical walking procedure with functional near-infrared spectroscopy was developed, and brain activations during the procedure from fifty PD patients under the OFF and ON states (without and with dopaminergic medication) were captured. Then, dynamic brain networks were constructed with sliding-window analysis of phase lag index and integrated time-varying functional networks across all patients. Afterwards, an aggregated network decomposition algorithm was formulated based on aggregated effectiveness optimization of functional networks in spanning network topology and cross-validation network variations, and utilized to unveil effective brain hemodynamic sub-networks for PD patients. Further, dynamic sub-network features were constructed to characterize the brain flexibility and dynamics according to the temporal switching and activation variations of discovered sub-networks, and their correlations with differential treatment-induced gait alterations were analyzed.Results.The results demonstrated that PD patients exhibited significantly enhanced flexibility after dopaminergic therapy within a sub-network related to the improvement of motor functions. Other sub-networks were significantly correlated with trunk-related axial symptoms and exhibited no significant treatment-induced dynamic interactions.Significance.The proposed method promises a quantified and objective approach for dopaminergic treatment evaluation. Moreover, the findings suggest that the gait of PD patients comprises distinct motor domains, and the corresponding neural controls are selectively responsive to dopaminergic treatment.
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Affiliation(s)
- Jiewei Lu
- College of Artificial Intelligence, Nankai University, Tianjin, People's Republic of China
| | - Xinyuan Zhang
- College of Artificial Intelligence, Nankai University, Tianjin, People's Republic of China
| | - Zhilin Shu
- College of Artificial Intelligence, Nankai University, Tianjin, People's Republic of China
| | - Jianda Han
- College of Artificial Intelligence, Nankai University, Tianjin, People's Republic of China
- Engineering Research Center of Trusted Behavior Intelligence, Ministry of Education, Nankai University, Tianjin, People's Republic of China
- Institute of Intelligence Technology and Robotic Systems, Shenzhen Research Institute of Nankai University, Shenzhen, People's Republic of China
| | - Ningbo Yu
- College of Artificial Intelligence, Nankai University, Tianjin, People's Republic of China
- Engineering Research Center of Trusted Behavior Intelligence, Ministry of Education, Nankai University, Tianjin, People's Republic of China
- Institute of Intelligence Technology and Robotic Systems, Shenzhen Research Institute of Nankai University, Shenzhen, People's Republic of China
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Wang S, Wang W, Chen J, Yu X. Alterations in brain functional connectivity in patients with mild cognitive impairment: A systematic review and meta-analysis of functional near-infrared spectroscopy studies. Brain Behav 2024; 14:e3414. [PMID: 38616330 PMCID: PMC11016629 DOI: 10.1002/brb3.3414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 01/09/2024] [Accepted: 01/10/2024] [Indexed: 04/16/2024] Open
Abstract
Emerging evidences suggest that cognitive deficits in individuals with mild cognitive impairment (MCI) are associated with disruptions in brain functional connectivity (FC). This systematic review and meta-analysis aimed to comprehensively evaluate alterations in FC between MCI individuals and healthy control (HC) using functional near-infrared spectroscopy (fNIRS). Thirteen studies were included in qualitative analysis, with two studies synthesized for quantitative meta-analysis. Overall, MCI patients exhibited reduced resting-state FC, predominantly in the prefrontal, parietal, and occipital cortex. Meta-analysis of two studies revealed a significant reduction in resting-state FC from the right prefrontal to right occipital cortex (standardized mean difference [SMD] = -.56; p < .001), left prefrontal to left occipital cortex (SMD = -.68; p < .001), and right prefrontal to left occipital cortex (SMD = -.53; p < .001) in MCI patients compared to HC. During naming animal-walking task, MCI patients exhibited enhanced FC in the prefrontal, motor, and occipital cortex, whereas a decrease in FC was observed in the right prefrontal to left prefrontal cortex during calculating-walking task. In working memory tasks, MCI predominantly showed increased FC in the medial and left prefrontal cortex. However, a decreased in prefrontal FC and a shifted in distribution from the left to the right prefrontal cortex were noted in MCI patients during a verbal frequency task. In conclusion, fNIRS effectively identified abnormalities in FC between MCI and HC, indicating disrupted FC as potential markers for the early detection of MCI. Future studies should investigate the use of task- and region-specific FC alterations as a sensitive biomarker for MCI.
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Affiliation(s)
- Shuangyan Wang
- Department of Geriatric Neurology, Guangzhou First People's HospitalThe Second Affiliated Hospital of South China University of TechnologyGuangzhouGuangdongChina
| | - Weijia Wang
- Department of LibrarySun Yat‐sen UniversityGuangzhouGuangdongChina
| | - Jinglong Chen
- Department of Geriatric Neurology, Guangzhou First People's HospitalThe Second Affiliated Hospital of South China University of TechnologyGuangzhouGuangdongChina
| | - Xiaoqi Yu
- Department of Geriatric Neurology, Guangzhou First People's HospitalThe Second Affiliated Hospital of South China University of TechnologyGuangzhouGuangdongChina
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Moffat R, Casale CE, Cross ES. Mobile fNIRS for exploring inter-brain synchrony across generations and time. FRONTIERS IN NEUROERGONOMICS 2024; 4:1260738. [PMID: 38234472 PMCID: PMC10790948 DOI: 10.3389/fnrgo.2023.1260738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 12/01/2023] [Indexed: 01/19/2024]
Abstract
While still relatively rare, longitudinal hyperscanning studies are exceptionally valuable for documenting changes in inter-brain synchrony, which may in turn underpin how behaviors develop and evolve in social settings. The generalizability and ecological validity of this experimental approach hinges on the selected imaging technique being mobile-a requirement met by functional near-infrared spectroscopy (fNIRS). fNIRS has most frequently been used to examine the development of inter-brain synchrony and behavior in child-parent dyads. In this position paper, we contend that dedicating attention to longitudinal and intergenerational hyperscanning stands to benefit the fields of social and cognitive neuroscience more broadly. We argue that this approach is particularly relevant for understanding the neural mechanisms underpinning intergenerational social dynamics, and potentially for benchmarking progress in psychological and social interventions, many of which are situated in intergenerational contexts. In line with our position, we highlight areas of intergenerational research that stand to be enhanced by longitudinal hyperscanning with mobile devices, describe challenges that may arise from measuring across generations in the real world, and offer potential solutions.
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Affiliation(s)
- Ryssa Moffat
- Social Brain Sciences, ETH Zurich, Zurich, Switzerland
| | - Courtney E. Casale
- School of Psychological Sciences, Macquarie University, Sydney, NSW, Australia
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Gentile E, Brunetti A, Ricci K, Vecchio E, Santoro C, Sibilano E, Bevilacqua V, Iliceto G, Craighero L, de Tommaso M. Effects of movement congruence on motor resonance in early Parkinson's disease. Sci Rep 2023; 13:14887. [PMID: 37689819 PMCID: PMC10492841 DOI: 10.1038/s41598-023-42112-2] [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: 11/30/2022] [Accepted: 09/05/2023] [Indexed: 09/11/2023] Open
Abstract
The observation of action seems to involve the generation of the internal representation of that same action in the observer, a process named motor resonance (MR). The objective of this study was to verify whether an experimental paradigm of action observation in a laboratory context could elicit cortical motor activation in 21 early Parkinson's disease (PD) patients compared to 22 controls. Participants were instructed to simply observe (observation-only session) or to respond (Time-to-contact detection session) at the instant the agent performed a grasping action toward a graspable or ungraspable object. We used functional near-infrared spectroscopy with 20 channels on the motor and premotor brain areas and event-related desynchronization of alpha-mu rhythm. In both groups, response times were more accurate in graspable than ungraspable object trials, suggesting that motor resonance is present in PD patients. In the Time-to-contact detection session, the oxyhemoglobin levels and alpha-mu desynchronization prevailed in the graspable object trials rather than in the ungraspable ones. This study demonstrates the preservation of MR mechanisms in early PD patients. The action observation finalized to a consequent movement can activate cortical networks in patients with early PD, suggesting early rehabilitation interventions taking into account specific observation paradigms preceding motor production.
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Affiliation(s)
- Eleonora Gentile
- Neurophysiopathology Unit, Polyclinic General Hospital, University of Bari "Aldo Moro", 70136, Bari, Italy.
| | - Antonio Brunetti
- Department of Electrical and Information Engineering, Polytechnic University of Bari, 70125, Bari, Italy
| | - Katia Ricci
- Neurophysiopathology Unit, Polyclinic General Hospital, University of Bari "Aldo Moro", 70136, Bari, Italy
| | - Eleonora Vecchio
- Neurophysiopathology Unit, Polyclinic General Hospital, University of Bari "Aldo Moro", 70136, Bari, Italy
| | - Carlo Santoro
- Neurophysiopathology Unit, Polyclinic General Hospital, University of Bari "Aldo Moro", 70136, Bari, Italy
| | - Elena Sibilano
- Department of Electrical and Information Engineering, Polytechnic University of Bari, 70125, Bari, Italy
| | - Vitoantonio Bevilacqua
- Department of Electrical and Information Engineering, Polytechnic University of Bari, 70125, Bari, Italy
| | - Giovanni Iliceto
- Neurophysiopathology Unit, Polyclinic General Hospital, University of Bari "Aldo Moro", 70136, Bari, Italy
| | - Laila Craighero
- Department of Neuroscience and Rehabilitation, University of Ferrara, 44121, Ferrara, Italy
| | - Marina de Tommaso
- Neurophysiopathology Unit, Polyclinic General Hospital, University of Bari "Aldo Moro", 70136, Bari, Italy
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Wu Y, Dong Y, Tang Y, Wang W, Bo Y, Zhang C. Relationship between motor performance and cortical activity of older neurological disorder patients with dyskinesia using fNIRS: A systematic review. Front Physiol 2023; 14:1153469. [PMID: 37051020 PMCID: PMC10083370 DOI: 10.3389/fphys.2023.1153469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 03/13/2023] [Indexed: 03/29/2023] Open
Abstract
Background: Neurological disorders with dyskinesia would seriously affect older people’s daily activities, which is not only associated with the degeneration or injury of the musculoskeletal or the nervous system but also associated with complex linkage between them. This study aims to review the relationship between motor performance and cortical activity of typical older neurological disorder patients with dyskinesia during walking and balance tasks.Methods: Scopus, PubMed, and Web of Science databases were searched. Articles that described gait or balance performance and cortical activity of older Parkinson’s disease (PD), multiple sclerosis, and stroke patients using functional near-infrared spectroscopy were screened by the reviewers. A total of 23 full-text articles were included for review, following an initial yield of 377 studies.Results: Participants were mostly PD patients, the prefrontal cortex was the favorite region of interest, and walking was the most popular test motor task, interventional studies were four. Seven studies used statistical methods to interpret the relationship between motor performance and cortical activation. The motor performance and cortical activation were simultaneously affected under difficult walking and balance task conditions. The concurrent changes of motor performance and cortical activation in reviewed studies contained the same direction change and different direction change.Conclusion: Most of the reviewed studies reported poor motor performance and increased cortical activation of PD, stroke and multiple sclerosis older patients. The external motor performance such as step speed were analyzed only. The design and results were not comprehensive and profound. More than 5 weeks walking training or physiotherapy can contribute to motor function promotion as well as cortices activation of PD and stroke patients. Thus, further study is needed for more statistical analysis on the relationship between motor performance and activation of the motor-related cortex. More different type and program sports training intervention studies are needed to perform.
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Affiliation(s)
- Yunzhi Wu
- Graduate School, Shandong Sport University, Jinan, Shandong, China
| | - Yuqi Dong
- Graduate School, Shandong Sport University, Jinan, Shandong, China
| | - Yunqi Tang
- College of Art and Design, Shaanxi University of Science and Technology, Xi’an, Shaanxi, China
| | - Weiran Wang
- Graduate School, Shandong Sport University, Jinan, Shandong, China
| | - Yulong Bo
- Graduate School, Shandong Sport University, Jinan, Shandong, China
| | - Cui Zhang
- Graduate School, Shandong Sport University, Jinan, Shandong, China
- Laboratory of Sports Biomechanics, Shandong Institute of Sport Science, Jinan, Shandong, China
- *Correspondence: Cui Zhang,
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Liu Y, Luo J, Fang J, Yin M, Cao J, Zhang S, Huang L, Cheng Q, Ai Y, Zheng H, Hu X. Screening diagnosis of executive dysfunction after ischemic stroke and the effects of transcranial magnetic stimulation: A prospective functional near-infrared spectroscopy study. CNS Neurosci Ther 2023; 29:1561-1570. [PMID: 36786133 PMCID: PMC10173709 DOI: 10.1111/cns.14118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 01/21/2023] [Accepted: 01/29/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Post-ischemic stroke executive impairment (PISEI) is a serious obstacle for patients to returning to their society and is currently difficult to screen early and clinically ineffective. AIM The aim of the study was to clarify whether functional near-infrared spectroscopy (fNIRS) can be used as a rapid screening tool for PISEI and to explore the efficacy of transcranial magnetic stimulation (TMS) in PISEI patients and the changes in brain function. METHODS A single-blind, randomized controlled study design was used to detect hemodynamic differences by fNIIRS in 16 PISEI patients and 16 healthy subjects during the resting state and Stroop task, respectively. After 3 days, all subjects received a single TMS intervention and underwent simultaneous fNIRS testing for the Stroop task before and 3 days after the TMS intervention. RESULTS PISEI patients had significantly higher HbO2 content in the left dorsolateral prefrontal cortex (DLPFC), the right pre-motor cortex (PMC) and the right primary sensorimotor cortex (SM1) during the Stroop task compared to the resting state (F = 141.966, p < 0.001), but significantly lower than healthy subjects (T = -3.413, p = 0.002). After TMS intervention, PISEI patients' time and error number scores on the Stroop test were significantly enhanced, and the functional activity of the above-mentioned brain regions was significantly more active than at baseline, while the strength of their functional connections with each other was markedly increased. CONCLUSIONS fNIRS helped screen and diagnose PISEI. A single TMS session benefited PISEI patients with effects lasting 3 days, which may be attributed to activation of the left DLPFC, right PMC and right SM1 brain regions.
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Affiliation(s)
- Yuanwen Liu
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jing Luo
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jie Fang
- Department of Rehabilitation Medicine, Xiamen Humanity Rehabilitation Hospital, Xiamen, China
| | - Mingyu Yin
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jie Cao
- Department of Education, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Shuxian Zhang
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Li Huang
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Qilin Cheng
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.,Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China
| | - Yinan Ai
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Haiqing Zheng
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiquan Hu
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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Bonilauri A, Sangiuliano Intra F, Baglio F, Baselli G. Impact of Anatomical Variability on Sensitivity Profile in fNIRS-MRI Integration. SENSORS (BASEL, SWITZERLAND) 2023; 23:2089. [PMID: 36850685 PMCID: PMC9962997 DOI: 10.3390/s23042089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 02/06/2023] [Accepted: 02/07/2023] [Indexed: 06/18/2023]
Abstract
Functional near-infrared spectroscopy (fNIRS) is an important non-invasive technique used to monitor cortical activity. However, a varying sensitivity of surface channels vs. cortical structures may suggest integrating the fNIRS with the subject-specific anatomy (SSA) obtained from routine MRI. Actual processing tools permit the computation of the SSA forward problem (i.e., cortex to channel sensitivity) and next, a regularized solution of the inverse problem to map the fNIRS signals onto the cortex. The focus of this study is on the analysis of the forward problem to quantify the effect of inter-subject variability. Thirteen young adults (six males, seven females, age 29.3 ± 4.3) underwent both an MRI scan and a motor grasping task with a continuous wave fNIRS system of 102 measurement channels with optodes placed according to a 10/5 system. The fNIRS sensitivity profile was estimated using Monte Carlo simulations on each SSA and on three major atlases (i.e., Colin27, ICBM152 and FSAverage) for comparison. In each SSA, the average sensitivity curves were obtained by aligning the 102 channels and segmenting them by depth quartiles. The first quartile (depth < 11.8 (0.7) mm, median (IQR)) covered 0.391 (0.087)% of the total sensitivity profile, while the second one (depth < 13.6 (0.7) mm) covered 0.292 (0.009)%, hence indicating that about 70% of the signal was from the gyri. The sensitivity bell-shape was broad in the source-detector direction (20.953 (5.379) mm FWHM, first depth quartile) and steeper in the transversal one (6.082 (2.086) mm). The sensitivity of channels vs. different cortical areas based on SSA were analyzed finding high dispersions among subjects and large differences with atlas-based evaluations. Moreover, the inverse cortical mapping for the grasping task showed differences between SSA and atlas based solutions. In conclusion, integration with MRI SSA can significantly improve fNIRS interpretation.
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Affiliation(s)
- Augusto Bonilauri
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy
| | | | - Francesca Baglio
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, CADITER, 20148 Milan, Italy
| | - Giuseppe Baselli
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy
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Schejter-Margalit T, Kizony R, Ben-Binyamin N, Hacham R, Thaler A, Maidan I, Mirelman A. Neural activation in the prefrontal cortex during the digital clock drawing test measured with functional near-infrared spectroscopy in early stage Parkinson's disease. Parkinsonism Relat Disord 2022; 105:9-14. [PMID: 36327601 DOI: 10.1016/j.parkreldis.2022.10.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/16/2022] [Accepted: 10/19/2022] [Indexed: 11/30/2022]
Abstract
INTRODUCTION The clock drawing test (CDT) is a neuropsychological test for the screening of global cognitive functioning. The test requires use of multiple cognitive domains including executive functions, visuospatial abilities and semantic memory and can be a suitable tool for screening cognitive decline in participants in the early stages of Parkinson's Disease (PD). Behavioral performance on the CDT has been studied in depth, however, neural activation during real-time performance has not been extensively investigated. In this study we explored changes in prefrontal cortex (PFC) activation during the performance of CDT in participants with PD compared to healthy controls (HC) and assessed the correlations between PFC activation and CDT performance. METHODS The study included 60 participants, 29 PD and 31 HC participants whom performed a digital CDT (DCTclock) in conjunction with a Functional Near-Infrared Spectroscopy (fNIRS) system measuring neural activation in the PFC. RESULTS HbO2 signals derived from the fNIRS during the CDT revealed that PD participants showed more moderate slopes than the HC in the right hemisphere in the command (p = 0.042) and copy task (p = 0.009). Better score on the measurement of information processing correlated with steeper right hemisphere HbO2 slope in the copy task in the PD group (p = 0.003). CONCLUSION Our results reflect slower PFC activation in participants with PD which correlates with behavioral measures. In addition, the findings of the study indicate the importance of performing the CDT copy task condition that detect early cognitive decline in participants with PD.
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Affiliation(s)
- Tamara Schejter-Margalit
- Laboratory for Early Markers of Neurodegeneration, Center for the Study of Movement, Cognition and Mobility, Tel Aviv Medical Center, Tel Aviv, Israel; Occupational Therapy Department, University of Haifa, Haifa, Israel.
| | - Rachel Kizony
- Occupational Therapy Department, University of Haifa, Haifa, Israel; Occupational Therapy, Sheba Medical Center, Tel Hashomer, Israel
| | | | - Roni Hacham
- Laboratory for Early Markers of Neurodegeneration, Center for the Study of Movement, Cognition and Mobility, Tel Aviv Medical Center, Tel Aviv, Israel
| | - Avner Thaler
- Laboratory for Early Markers of Neurodegeneration, Center for the Study of Movement, Cognition and Mobility, Tel Aviv Medical Center, Tel Aviv, Israel; Sackler Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University, Israel
| | - Inbal Maidan
- Laboratory for Early Markers of Neurodegeneration, Center for the Study of Movement, Cognition and Mobility, Tel Aviv Medical Center, Tel Aviv, Israel; Sackler Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University, Israel
| | - Anat Mirelman
- Laboratory for Early Markers of Neurodegeneration, Center for the Study of Movement, Cognition and Mobility, Tel Aviv Medical Center, Tel Aviv, Israel; Sackler Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University, Israel
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10
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Bonilauri A, Sangiuliano Intra F, Rossetto F, Borgnis F, Baselli G, Baglio F. Whole-Head Functional Near-Infrared Spectroscopy as an Ecological Monitoring Tool for Assessing Cortical Activity in Parkinson's Disease Patients at Different Stages. Int J Mol Sci 2022; 23:ijms232314897. [PMID: 36499223 PMCID: PMC9736501 DOI: 10.3390/ijms232314897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 11/18/2022] [Accepted: 11/22/2022] [Indexed: 11/29/2022] Open
Abstract
Functional near-infrared spectroscopy (fNIRS) is increasingly employed as an ecological neuroimaging technique in assessing age-related chronic neurological disorders, such as Parkinson's disease (PD), mainly providing a cross-sectional characterization of clinical phenotypes in ecological settings. Current fNIRS studies in PD have investigated the effects of motor and non-motor impairment on cortical activity during gait and postural stability tasks, but no study has employed fNIRS as an ecological neuroimaging tool to assess PD at different stages. Therefore, in this work, we sought to investigate the cortical activity of PD patients during a motor grasping task and its relationship with both the staging of the pathology and its clinical variables. This study considered 39 PD patients (age 69.0 ± 7.64, 38 right-handed), subdivided into two groups at different stages by the Hoehn and Yahr (HY) scale: early PD (ePD; N = 13, HY = [1; 1.5]) and moderate PD (mPD; N = 26, HY = [2; 2.5; 3]). We employed a whole-head fNIRS system with 102 measurement channels to monitor brain activity. Group-level activation maps and region of interest (ROI) analysis were computed for ePD, mPD, and ePD vs. mPD contrasts. A ROI-based correlation analysis was also performed with respect to contrasted subject-level fNIRS data, focusing on age, a Cognitive Reserve Index questionnaire (CRIQ), disease duration, the Unified Parkinson's Disease Rating Scale (UPDRS), and performances in the Stroop Color and Word (SCW) test. We observed group differences in age, disease duration, and the UPDRS, while no significant differences were found for CRIQ or SCW scores. Group-level activation maps revealed that the ePD group presented higher activation in motor and occipital areas than the mPD group, while the inverse trend was found in frontal areas. Significant correlations with CRIQ, disease duration, the UPDRS, and the SCW were mostly found in non-motor areas. The results are in line with current fNIRS and functional and anatomical MRI scientific literature suggesting that non-motor areas-primarily the prefrontal cortex area-provide a compensation mechanism for PD motor impairment. fNIRS may serve as a viable support for the longitudinal assessment of therapeutic and rehabilitation procedures, and define new prodromal, low-cost, and ecological biomarkers of disease progression.
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Affiliation(s)
- Augusto Bonilauri
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy
| | - Francesca Sangiuliano Intra
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, CADITER, 20148 Milan, Italy
- Faculty of Education, Free University of Bolzano-Bozen, 39042 Brixen, Italy
- Correspondence:
| | - Federica Rossetto
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, CADITER, 20148 Milan, Italy
| | - Francesca Borgnis
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, CADITER, 20148 Milan, Italy
| | - Giuseppe Baselli
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy
| | - Francesca Baglio
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, CADITER, 20148 Milan, Italy
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11
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Keles HO, Karakulak EZ, Hanoglu L, Omurtag A. Screening for Alzheimer's disease using prefrontal resting-state functional near-infrared spectroscopy. Front Hum Neurosci 2022; 16:1061668. [PMID: 36518566 PMCID: PMC9742284 DOI: 10.3389/fnhum.2022.1061668] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 11/01/2022] [Indexed: 08/10/2023] Open
Abstract
INTRODUCTION Alzheimer's disease (AD) is neurodegenerative dementia that causes neurovascular dysfunction and cognitive impairment. Currently, 50 million people live with dementia worldwide, and there are nearly 10 million new cases every year. There is a need for relatively less costly and more objective methods of screening and early diagnosis. METHODS Functional near-infrared spectroscopy (fNIRS) systems are a promising solution for the early Detection of AD. For a practical clinically relevant system, a smaller number of optimally placed channels are clearly preferable. In this study, we investigated the number and locations of the best-performing fNIRS channels measuring prefrontal cortex activations. Twenty-one subjects diagnosed with AD and eighteen healthy controls were recruited for the study. RESULTS We have shown that resting-state fNIRS recordings from a small number of prefrontal locations provide a promising methodology for detecting AD and monitoring its progression. A high-density continuous-wave fNIRS system was first used to verify the relatively lower hemodynamic activity in the prefrontal cortical areas observed in patients with AD. By using the episode averaged standard deviation of the oxyhemoglobin concentration changes as features that were fed into a Support Vector Machine; we then showed that the accuracy of subsets of optical channels in predicting the presence and severity of AD was significantly above chance. The results suggest that AD can be detected with a 0.76 sensitivity score and a 0.68 specificity score while the severity of AD could be detected with a 0.75 sensitivity score and a 0.72 specificity score with ≤5 channels. DISCUSSION These scores suggest that fNIRS is a viable technology for conveniently detecting and monitoring AD as well as investigating underlying mechanisms of disease progression.
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Affiliation(s)
- Hasan Onur Keles
- Department of Biomedical Engineering, Ankara University, Ankara, Turkey
| | | | - Lutfu Hanoglu
- Department of Neurology, School of Medicine, Istanbul Medipol University, Istanbul, Turkey
| | - Ahmet Omurtag
- Department of Engineering, Nottingham Trent University, Nottingham, United Kingdom
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12
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Senthilvelan S, Kannath SK, Arun KM, Menon R, Kesavadas C. Non-invasive assessment of cerebral hemoglobin parameters in intracranial dural arteriovenous fistula using functional near-infrared spectroscopy-A feasibility study. Front Neurosci 2022; 16:932995. [PMID: 36452332 PMCID: PMC9703974 DOI: 10.3389/fnins.2022.932995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 09/27/2022] [Indexed: 11/05/2023] Open
Abstract
PURPOSE The purpose of this study was to assess the feasibility of non-invasive assessment of cerebral hemodynamics using functional near-infrared spectroscopy (fNIRS) in patients with intracranial dural arteriovenous fistula (DAVF) and to correlate the hemodynamic changes with definitive endovascular treatment. METHODOLOGY Twenty-seven DAVF patients and 23 healthy controls underwent 20-mins task-based functional near-infrared spectroscopy and neuropsychology evaluation. The mean change in the hemoglobin concentrations obtained from the prefrontal cortex was assessed for oxyhemoglobin, deoxyhemoglobin, and oxygen saturation (HbO, HbR, and SO2, respectively). The fNIRS data were analyzed and correlated with improvement in neuropsychology scores at 1-month follow-up. RESULTS There was a significant reduction in HbO in the patient group, while it increased in controls (-2.57E-05 vs. 1.09E-04 mM, p < 0.001). The reduced HbO significantly improved after embolization (-2.1E-04 vs. 9.9E-04, p = 0.05, q = 0.05). In patients with aggressive DAVF (Cognard 2B and above), the change was highly significant (p < 0.001; q = 0.001). A moderate correlation was observed between MMSE scores and HbO changes (ρ = 0.4). CONCLUSION fNIRS is a useful non-invasive modality for the assessment of DAVF, and could potentially assist in bedside monitoring of treatment response.
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Affiliation(s)
- Santhakumar Senthilvelan
- Neuroradiology Division, Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India
| | - Santhosh Kumar Kannath
- Neuroradiology Division, Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India
| | - Karumattu Manattu Arun
- Neuroradiology Division, Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India
| | - Ramshekhar Menon
- Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India
| | - Chandrasekharan Kesavadas
- Neuroradiology Division, Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, India
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13
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de Aratanha MA, Balardin JB, Cardoso do Amaral C, Lacerda SS, Sowmy TAS, Huppert TJ, Thomaz RB, Speciali DS, Machado B, Kozasa EH. The use of functional near infrared spectroscopy and gait analysis to characterize cognitive and motor processing in early-stage patients with multiple sclerosis. Front Neurol 2022; 13:937231. [PMID: 36105774 PMCID: PMC9464830 DOI: 10.3389/fneur.2022.937231] [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: 05/06/2022] [Accepted: 08/05/2022] [Indexed: 11/13/2022] Open
Abstract
Background Dual-task paradigms are a known tool to evaluate possible impairments in the motor and cognitive function in patients with multiple sclerosis (MS). A technique to evaluate the cortical function during movement is functional near-infrared spectroscopy (fNIRS). The evaluation of the MS course or its treatment by associating fNIRS with gait measurements may be flexible and low-cost; however, there are no feasibility studies in the literature using these combined techniques in early-stage patients with MS. Objective To evaluate cortical hemodynamics using fNIRS and gait parameters in patients at early stages of MS and in healthy controls during a dual-task paradigm. Methods Participants performed cognitive tasks while walking to simulate daily activities. Cortical activation maps and gait variability were used to evaluate differences between 19 healthy controls and 20 patients with MS. Results and conclusion The results suggest an enhanced cortical activation in the motor planning areas already at the early stages of MS when compared to controls. We have also shown that a systematic analysis of the spatiotemporal gait variability parameters indicates differences in the patient population. The association of cortical and gait parameters may reveal possible compensatory mechanisms related to gait during dual tasking at the early stages of the disease.
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Affiliation(s)
| | | | - Carolina Cardoso do Amaral
- Hospital Israelita Albert Einstein, São Paulo, Brazil
- Department of Biomedical Engineering, Universidade Federal do ABC, Santo André, Brazil
| | | | | | - Theodore J. Huppert
- Departments of Radiology and Bioengineering, Clinical Science Translational Institute, Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, United States
| | | | | | | | - Elisa Harumi Kozasa
- Hospital Israelita Albert Einstein, São Paulo, Brazil
- *Correspondence: Elisa Harumi Kozasa
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14
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Sui SX, Hendy AM, Teo WP, Moran JT, Nuzum ND, Pasco JA. A Review of the Measurement of the Neurology of Gait in Cognitive Dysfunction or Dementia, Focusing on the Application of fNIRS during Dual-Task Gait Assessment. Brain Sci 2022; 12:brainsci12080968. [PMID: 35892409 PMCID: PMC9331540 DOI: 10.3390/brainsci12080968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 07/16/2022] [Accepted: 07/20/2022] [Indexed: 12/07/2022] Open
Abstract
Poor motor function or physical performance is a predictor of cognitive decline. Additionally, slow gait speed is associated with poor cognitive performance, with gait disturbances being a risk factor for dementia. Parallel declines in muscular and cognitive performance (resulting in cognitive frailty) might be driven primarily by muscle deterioration, but bidirectional pathways involving muscle–brain crosstalk through the central and peripheral nervous systems are likely to exist. Following screening, early-stage parallel declines may be manageable and modifiable through simple interventions. Gait–brain relationships in dementia and the underlying mechanisms are not fully understood; therefore, the current authors critically reviewed the literature on the gait–brain relationship and the underlying mechanisms and the feasibility/accuracy of assessment tools in order to identify research gaps. The authors suggest that dual-task gait is involved in concurrent cognitive and motor activities, reflecting how the brain allocates resources when gait is challenged by an additional task and that poor performance on dual-task gait is a predictor of dementia onset. Thus, tools or protocols that allow the identification of subtle disease- or disorder-related changes in gait are highly desirable to improve diagnosis. Functional near-infrared spectroscopy (fNIRS) is a non-invasive, cost-effective, safe, simple, portable, and non-motion-sensitive neuroimaging technique, widely used in studies of clinical populations such as people suffering from Alzheimer’s disease, depression, and other chronic neurological disorders. If fNIRS can help researchers to better understand gait disturbance, then fNIRS could form the basis of a cost-effective means of identifying people at risk of cognitive dysfunction and dementia. The major research gap identified in this review relates to the role of the central/peripheral nervous system when performing dual tasks.
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Affiliation(s)
- Sophia X. Sui
- Instiute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC 3216, Australia; (J.T.M.); (J.A.P.)
- Correspondence: ; Tel.: +61-3-4215-3306-53306; Fax: +61-3-4215-3491
| | - Ashlee M. Hendy
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3216, Australia; (A.M.H.); (N.D.N.)
| | - Wei-Peng Teo
- Physical Education and Sports Science Academic Group, National Institute of Education, Nanyang Technological University, Singapore 308232, Singapore;
| | - Joshua T. Moran
- Instiute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC 3216, Australia; (J.T.M.); (J.A.P.)
| | - Nathan D. Nuzum
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3216, Australia; (A.M.H.); (N.D.N.)
| | - Julie A. Pasco
- Instiute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC 3216, Australia; (J.T.M.); (J.A.P.)
- Department of Medicine—Western Campus, The University of Melbourne, St Albans, VIC 3010, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Barwon Health, University Hospital Geelong, Geelong, VIC 3220, Australia
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15
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Zheng Y, You T, Du R, Zhang J, Peng T, Liang J, Zhao B, Ou H, Jiang Y, Feng H, Yilifate A, Lin Q. The Effect of Non-immersive Virtual Reality Exergames Versus Band Stretching on Cardiovascular and Cerebral Hemodynamic Response: A Functional Near-Infrared Spectroscopy Study. Front Hum Neurosci 2022; 16:902757. [PMID: 35903784 PMCID: PMC9314640 DOI: 10.3389/fnhum.2022.902757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 06/13/2022] [Indexed: 11/13/2022] Open
Abstract
Background Exercise is one of the effective ways to improve cognition. Different forms of exercises, such as aerobic exercise, resistance exercise, and coordination exercise, have different effects on the improvement of cognitive impairment. In recent years, exergames based on Non-Immersive Virtual Reality (NIVR-Exergames) have been widely used in entertainment and have gradually been applied to clinical rehabilitation. However, the mechanism of NIVR-Exergames on improving motor cognition has not been clarified. Therefore, the aim of this study is to find whether NIVR-Exergames result in a better neural response mechanism to improve the area of the cerebral cortex related to motor cognition under functional near-infrared spectroscopy (fNIRS) dynamic monitoring in comparison with resistance exercise (resistance band stretching). Methods A cross-over study design was adopted in this study, and 15 healthy young subjects (18–24 years old) were randomly divided into group A (n = 8) and group B (n = 7) according to a computerized digital table method. Task 1 was an NIVR-Exergame task, and Task 2 was resistance band stretching. Group A first performed Task 1, rested for 30 min (i.e., a washout period), and then performed Task 2. Group B had the reverse order. The fNIRS test was synchronized in real time during exercise tasks, and heart rate measurements, blood pressure measurements, and 2-back task synchronization fNIRS tests were performed at baseline, Post-task 1, and Post-task 2. The primary outcomes were beta values from the general linear model (GLM) in different regions of interest (ROIs), and the secondary outcomes were heart rate, blood pressure, reaction time of 2-back, and accuracy rate of 2-back. Results The activation differences of Task 1 and Task 2 in the right premotor cortex (PMC) (P = 0.025) and the left PMC (P = 0.011) were statistically significant. There were statistically significant differences in the activation of the right supplementary motor area (SMA) (P = 0.007), left dorsolateral prefrontal cortex (DLPFC) (P = 0.031), left and right PMC (P = 0.005; P = 0.002) between baseline and Post-task 1. The differences in systolic pressure (SBP) between the two groups at three time points among women were statistically significant (P1 = 0.009, P2 < 0.001, P3 = 0.044). Conclusion In this study, we found that NIVR-Exergames combined with motor and challenging cognitive tasks can promote the activation of SMA, PMC and DLPFC in healthy young people compared with resistance exercise alone, providing compelling preliminary evidence of the power for the rehabilitation of motor and cognitive function in patients with central nervous system diseases.
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Affiliation(s)
- Yuxin Zheng
- Department of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation Medicine, The Fifth College of Guangzhou Medical University, Guangzhou, China
| | - Tingting You
- Department of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation Medicine, The Fifth College of Guangzhou Medical University, Guangzhou, China
| | - Rongwei Du
- Department of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation Medicine, The Fifth College of Guangzhou Medical University, Guangzhou, China
| | - Jiahui Zhang
- Department of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation Medicine, The Fifth College of Guangzhou Medical University, Guangzhou, China
| | - Tingting Peng
- Department of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation Medicine, The Fifth College of Guangzhou Medical University, Guangzhou, China
| | - Junjie Liang
- Department of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation Medicine, The Fifth College of Guangzhou Medical University, Guangzhou, China
| | - Biyi Zhao
- Department of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation Medicine, The Fifth College of Guangzhou Medical University, Guangzhou, China
| | - Haining Ou
- Department of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation Medicine, The Fifth College of Guangzhou Medical University, Guangzhou, China
| | - Yongchun Jiang
- Department of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation Medicine, The Fifth College of Guangzhou Medical University, Guangzhou, China
| | - Huiping Feng
- Department of Clinical Nutrition, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Huiping Feng,
| | - Anniwaer Yilifate
- Department of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation Medicine, The Fifth College of Guangzhou Medical University, Guangzhou, China
- Anniwaer Yilifate,
| | - Qiang Lin
- Department of Rehabilitation Medicine, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Rehabilitation Medicine, The Fifth College of Guangzhou Medical University, Guangzhou, China
- *Correspondence: Qiang Lin,
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16
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Lamberti N, Manfredini F, Nardi F, Baroni A, Piva G, Crepaldi A, Basaglia N, Casetta I, Straudi S. Cortical Oxygenation during a Motor Task to Evaluate Recovery in Subacute Stroke Patients: A Study with Near-Infrared Spectroscopy. Neurol Int 2022; 14:322-335. [PMID: 35466207 PMCID: PMC9036242 DOI: 10.3390/neurolint14020026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 03/10/2022] [Accepted: 03/21/2022] [Indexed: 11/16/2022] Open
Abstract
In subacute stroke patients we studied cortical oxygenation changes by near-infrared spectroscopy (NIRS) during a motor task performed with the hemiparetic arm (15 s of reaching and grasping, 45 s of rest, repeated 6 times). Twenty-three subjects were included at baseline, compared with six healthy subjects, and restudied after 6 weeks of rehabilitation. Motor/premotor cortical changes in oxyhemoglobin detected by NIRS were quantified as the area under the curve (AUC) for the total cortex (TOT-AUC) and for both affected (AFF-AUC) and unaffected hemispheres (UN-AUC). The ratio between AUC and the number of task repetitions performed identified the cortical metabolic cost (CMC) or the oxygenation increase for a single movement. Fugl−Meyer assessment of the upper extremity (FMA-UE) was also performed. At baseline, both total and hemispheric CMC were significantly higher in stroke patients than in healthy subjects and inversely correlated with FMA-UE. After rehabilitation, changes in total-CMC and unaffected-CMC, but not Affected-CMC, were inversely correlated with variations in the FMA-UE score. A value > 5000 a.u. for the ratio baseline TOT-CMC/days since stroke was associated with not reaching the clinically important difference for FMA-UE after rehabilitation. In subacute stroke the CMC, a biomarker assessed by NIRS during a motor task with the hemiparetic arm, may describe cortical time/treatment reorganization and favor patient selection for rehabilitation.
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Affiliation(s)
- Nicola Lamberti
- Department of Neuroscience and Rehabilitation, University of Ferrara, Via Luigi Borsari 46, 44121 Ferrara, Italy; (N.L.); (F.N.); (A.C.); (I.C.); (S.S.)
| | - Fabio Manfredini
- Department of Neuroscience and Rehabilitation, University of Ferrara, Via Luigi Borsari 46, 44121 Ferrara, Italy; (N.L.); (F.N.); (A.C.); (I.C.); (S.S.)
- Unit of Rehabilitation Medicine, University Hospital of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy; (A.B.); (N.B.)
- Correspondence: ; Tel.: +39-05322-36187
| | - Francesca Nardi
- Department of Neuroscience and Rehabilitation, University of Ferrara, Via Luigi Borsari 46, 44121 Ferrara, Italy; (N.L.); (F.N.); (A.C.); (I.C.); (S.S.)
| | - Andrea Baroni
- Unit of Rehabilitation Medicine, University Hospital of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy; (A.B.); (N.B.)
| | - Giovanni Piva
- PhD Program in Environmental Sustainability and Wellbeing, University of Ferrara, Via Paradiso 12, 44121 Ferrara, Italy;
| | - Anna Crepaldi
- Department of Neuroscience and Rehabilitation, University of Ferrara, Via Luigi Borsari 46, 44121 Ferrara, Italy; (N.L.); (F.N.); (A.C.); (I.C.); (S.S.)
- PhD Program in Biomedicine, Instituto Maimónides de Investigación Biomédica de Córdoba, 14005 Córdova, Spain
| | - Nino Basaglia
- Unit of Rehabilitation Medicine, University Hospital of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy; (A.B.); (N.B.)
| | - Ilaria Casetta
- Department of Neuroscience and Rehabilitation, University of Ferrara, Via Luigi Borsari 46, 44121 Ferrara, Italy; (N.L.); (F.N.); (A.C.); (I.C.); (S.S.)
- Unit of Clinical Neurology, University Hospital of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy
| | - Sofia Straudi
- Department of Neuroscience and Rehabilitation, University of Ferrara, Via Luigi Borsari 46, 44121 Ferrara, Italy; (N.L.); (F.N.); (A.C.); (I.C.); (S.S.)
- Unit of Rehabilitation Medicine, University Hospital of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy; (A.B.); (N.B.)
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17
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Sattar NY, Kausar Z, Usama SA, Farooq U, Shah MF, Muhammad S, Khan R, Badran M. fNIRS-Based Upper Limb Motion Intention Recognition Using an Artificial Neural Network for Transhumeral Amputees. SENSORS (BASEL, SWITZERLAND) 2022; 22:726. [PMID: 35161473 PMCID: PMC8837999 DOI: 10.3390/s22030726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 01/10/2022] [Accepted: 01/12/2022] [Indexed: 06/14/2023]
Abstract
Prosthetic arms are designed to assist amputated individuals in the performance of the activities of daily life. Brain machine interfaces are currently employed to enhance the accuracy as well as number of control commands for upper limb prostheses. However, the motion prediction for prosthetic arms and the rehabilitation of amputees suffering from transhumeral amputations is limited. In this paper, functional near-infrared spectroscopy (fNIRS)-based approach for the recognition of human intention for six upper limb motions is proposed. The data were extracted from the study of fifteen healthy subjects and three transhumeral amputees for elbow extension, elbow flexion, wrist pronation, wrist supination, hand open, and hand close. The fNIRS signals were acquired from the motor cortex region of the brain by the commercial NIRSport device. The acquired data samples were filtered using finite impulse response (FIR) filter. Furthermore, signal mean, signal peak and minimum values were computed as feature set. An artificial neural network (ANN) was applied to these data samples. The results show the likelihood of classifying the six arm actions with an accuracy of 78%. The attained results have not yet been reported in any identical study. These achieved fNIRS results for intention detection are promising and suggest that they can be applied for the real-time control of the transhumeral prosthesis.
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Affiliation(s)
- Neelum Yousaf Sattar
- Department of Mechatronics and Biomedical Engineering, Air University, Main Campus, PAF Complex, Islamabad 44000, Pakistan; (Z.K.); (U.F.)
| | - Zareena Kausar
- Department of Mechatronics and Biomedical Engineering, Air University, Main Campus, PAF Complex, Islamabad 44000, Pakistan; (Z.K.); (U.F.)
| | - Syed Ali Usama
- Department of Mechatronics and Biomedical Engineering, Air University, Main Campus, PAF Complex, Islamabad 44000, Pakistan; (Z.K.); (U.F.)
| | - Umer Farooq
- Department of Mechatronics and Biomedical Engineering, Air University, Main Campus, PAF Complex, Islamabad 44000, Pakistan; (Z.K.); (U.F.)
| | - Muhammad Faizan Shah
- Department of Mechanical Engineering, Khwaja Fareed University of Engineering & IT, Rahim Yar Khan 64200, Pakistan;
| | - Shaheer Muhammad
- Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong;
| | - Razaullah Khan
- Institute of Manufacturing, Engineering Management, University of Engineering and Applied Sciences, Swat, Mingora 19060, Pakistan;
| | - Mohamed Badran
- Department of Mechanical Engineering, Faculty of Engineering and Technology, Future University in Egypt, New Cairo 11835, Egypt;
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Fujiwara K, Shibata M, Awano Y, Shibayama K, Iso N, Matsuo M, Nakashima A, Moriuchi T, Mitsunaga W, Higashi T. A method for using video presentation to increase the vividness and activity of cortical regions during motor imagery tasks. Neural Regen Res 2021; 16:2431-2437. [PMID: 33907031 PMCID: PMC8374587 DOI: 10.4103/1673-5374.313058] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 09/29/2020] [Accepted: 10/15/2020] [Indexed: 11/07/2022] Open
Abstract
In recent years, mental practice (MP) using laterally inverted video of a subject's non-paralyzed upper limb to improve the vividness of presented motor imagery (MI) has been shown to be effective for improving the function of a paralyzed upper limb. However, no studies have yet assessed the activity of cortical regions engaged during MI task performance using inverse video presentations and neurophysiological indicators. This study sought to investigate changes in MI vividness and hemodynamic changes in the cerebral cortex during MI performance under the following three conditions in near-infrared spectroscopy: MI-only without inverse video presentation (MI-only), MI with action observation (AO) of an inverse video presentation of another person's hand (AO + MI (other hand)), and MI with AO of an inverse video presentation of a participant's own hand (AO + MI (own hand)). Participants included 66 healthy right-handed adults (41 men and 25 women; mean age: 26.3 ± 4.3 years). There were 23 patients in the MI-only group (mean age: 26.4 ± 4.1 years), 20 in the AO + MI (other hand) group (mean age: 25.9 ± 5.0 years), and 23 in the AO + MI (own hand) group (mean age: 26.9 ± 4.1 years). The MI task involved transferring 1 cm × 1 cm blocks from one plate to another, once per second, using chopsticks held in the non-dominant hand. Based on a visual analog scale (VAS), MI vividness was significantly higher in the AO + MI (own hand) group than in the MI-only group and the AO + MI (other hand) group. A main effect of condition was revealed in terms of MI vividness, as well as regions of interest (ROIs) in certain brain areas associated with motor processing. The data suggest that inverse video presentation of a person's own hand enhances the MI vividness and increases the activity of motor-related cortical areas during MI. This study was approved by the Institutional Ethics Committee of Nagasaki University Graduate School of Biomedical and Health Sciences (approval No. 18121303) on January 18, 2019.
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Affiliation(s)
- Kengo Fujiwara
- Department of Clinical Services, Nagasaki Rehabilitation Hospital, Nagasaki, Japan
- Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Masatomo Shibata
- Department of Clinical Services, Nagasaki Rehabilitation Hospital, Nagasaki, Japan
| | - Yoshinaga Awano
- Department of Clinical Services, Nagasaki Rehabilitation Hospital, Nagasaki, Japan
| | - Koji Shibayama
- Department of Clinical Services, Nagasaki Rehabilitation Hospital, Nagasaki, Japan
| | - Naoki Iso
- Department of Rehabilitation, Faculty of Health Sciences, Tokyo Kasei University, Tokyo, Japan
| | - Moemi Matsuo
- Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Akira Nakashima
- Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Takefumi Moriuchi
- Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Wataru Mitsunaga
- Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Toshio Higashi
- Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
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19
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Mohamed M, Jo E, Mohamed N, Kim M, Yun JD, Kim JG. Development of an Integrated EEG/fNIRS Brain Function Monitoring System. SENSORS 2021; 21:s21227703. [PMID: 34833775 PMCID: PMC8625300 DOI: 10.3390/s21227703] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 11/10/2021] [Accepted: 11/15/2021] [Indexed: 11/16/2022]
Abstract
In this study, a fully integrated electroencephalogram/functional near-infrared spectroscopy (EEG/fNIRS) brain monitoring system was designed to fulfill the demand for a miniaturized, light-weight, low-power-consumption, and low-cost brain monitoring system as a potential tool with which to screen for brain diseases. The system is based on the ADS1298IPAG Analog Front-End (AFE) and can simultaneously acquire two-channel EEG signals with a sampling rate of 250 SPS and six-channel fNIRS signals with a sampling rate of 8 SPS. AFE is controlled by Teensy 3.2 and powered by a lithium polymer battery connected to two protection circuits and regulators. The acquired EEG and fNIRS signals are monitored and stored using a Graphical User Interface (GUI). The system was evaluated by implementing several tests to verify its ability to simultaneously acquire EEG and fNIRS signals. The implemented system can acquire EEG and fNIRS signals with a CMRR of -115 dB, power consumption of 0.75 mW/ch, system weight of 70.5 g, probe weight of 3.1 g, and a total cost of USD 130. The results proved that this system can be qualified as a low-cost, light-weight, low-power-consumption, and fully integrated EEG/fNIRS brain monitoring system.
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Affiliation(s)
- Manal Mohamed
- Biomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Korea; (M.M.); (E.J.); (N.M.); (M.K.)
| | - Eunjung Jo
- Biomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Korea; (M.M.); (E.J.); (N.M.); (M.K.)
| | - Nourelhuda Mohamed
- Biomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Korea; (M.M.); (E.J.); (N.M.); (M.K.)
| | - Minhee Kim
- Biomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Korea; (M.M.); (E.J.); (N.M.); (M.K.)
| | | | - Jae Gwan Kim
- Biomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Korea; (M.M.); (E.J.); (N.M.); (M.K.)
- Correspondence: ; Tel.: +82-62-715-2220
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20
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Akın A. fNIRS-derived neurocognitive ratio as a biomarker for neuropsychiatric diseases. NEUROPHOTONICS 2021; 8:035008. [PMID: 34604439 PMCID: PMC8482313 DOI: 10.1117/1.nph.8.3.035008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 09/16/2021] [Indexed: 05/03/2023]
Abstract
Significance: Clinical use of fNIRS-derived features has always suffered low sensitivity and specificity due to signal contamination from background systemic physiological fluctuations. We provide an algorithm to extract cognition-related features by eliminating the effect of background signal contamination, hence improving the classification accuracy. Aim: The aim in this study is to investigate the classification accuracy of an fNIRS-derived biomarker based on global efficiency (GE). To this end, fNIRS data were collected during a computerized Stroop task from healthy controls and patients with migraine, obsessive compulsive disorder, and schizophrenia. Approach: Functional connectivity (FC) maps were computed from [HbO] time series data for neutral (N), congruent (C), and incongruent (I) stimuli using the partial correlation approach. Reconstruction of FC matrices with optimal choice of principal components yielded two independent networks: cognitive mode network (CM) and default mode network (DM). Results: GE values computed for each FC matrix after applying principal component analysis (PCA) yielded strong statistical significance leading to a higher specificity and accuracy. A new index, neurocognitive ratio (NCR), was computed by multiplying the cognitive quotients (CQ) and ratio of GE of CM to GE of DM. When mean values of NCR ( N C R ¯ ) over all stimuli were computed, they showed high sensitivity (100%), specificity (95.5%), and accuracy (96.3%) for all subjects groups. Conclusions: N C R ¯ can reliable be used as a biomarker to improve the classification of healthy to neuropsychiatric patients.
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Affiliation(s)
- Ata Akın
- Acibadem University, Department of Medical Engineering, Ataşehir, Istanbul, Turkey
- Address all correspondence to Ata Akn,
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21
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Motor Cortical Activation Assessment in Progressive Multiple Sclerosis Patients Enrolled in Gait Rehabilitation: A Secondary Analysis of the RAGTIME Trial Assisted by Functional Near-Infrared Spectroscopy. Diagnostics (Basel) 2021; 11:diagnostics11061068. [PMID: 34207923 PMCID: PMC8227480 DOI: 10.3390/diagnostics11061068] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/04/2021] [Accepted: 06/07/2021] [Indexed: 01/16/2023] Open
Abstract
This study aimed to determine cortical activation responses to two different rehabilitative programs, as measured through functional near-infrared spectroscopy (fNIRS). As a secondary analysis of the RAGTIME trial, we studied 24 patients with progressive multiple sclerosis (MS) and severe disability who were randomized to a regimen of robot-assisted gait training (RAGT) or overground walking (OW). Cortical activation during a treadmill walking task, assessed through fNIRS recordings from the motor and premotor cortexes (M1/PM), was calculated as the area under the curve (AUC) of oxyhemoglobin for each hemisphere and the total area (Tot-OxyAUC). Gait speed, endurance, and balance were also measured, along with five healthy control subjects. At baseline, Tot-OxyAUC during walking was significantly increased in MS patients compared to healthy people and was significantly higher for those with more severe disabilities; it was also inversely correlated with physical performance. After rehabilitation, significant opposite variations in Tot-OxyAUC were observed, with activity levels being increased after OW and decreased after RAGT (+242,080 ± 361,902 and −157,031 ± 172,496 arbitrary units, respectively; p = 0.002), particularly in patients who were trained at a lower speed. Greater reductions in the cortical activation of the more affected hemisphere were significantly related to improvements in gait speed (r = −0.42) and endurance (r = −0.44). Cortical activation, assessed through fNIRS, highlighted the brain activity in response to the type and intensity of rehabilitation.
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22
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von Lühmann A, Zheng Y, Ortega-Martinez A, Kiran S, Somers DC, Cronin-Golomb A, Awad LN, Ellis TD, Boas DA, Yücel MA. Towards Neuroscience of the Everyday World (NEW) using functional Near-Infrared Spectroscopy. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2021; 18:100272. [PMID: 33709044 PMCID: PMC7943029 DOI: 10.1016/j.cobme.2021.100272] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Functional Near-Infrared Spectroscopy (fNIRS) assesses human brain activity by noninvasively measuring changes of cerebral hemoglobin concentrations caused by modulation of neuronal activity. Recent progress in signal processing and advances in system design, such as miniaturization, wearability and system sensitivity, have strengthened fNIRS as a viable and cost-effective complement to functional Magnetic Resonance Imaging (fMRI), expanding the repertoire of experimental studies that can be performed by the neuroscience community. The availability of fNIRS and Electroencephalography (EEG) for routine, increasingly unconstrained, and mobile brain imaging is leading towards a new domain that we term "Neuroscience of the Everyday World" (NEW). In this light, we review recent advances in hardware, study design and signal processing, and discuss challenges and future directions towards achieving NEW.
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Affiliation(s)
- Alexander von Lühmann
- Neurophotonics Center, Biomedical Engineering, Boston University, Boston, MA 02215, USA
- NIRx Medical Technologies, Berlin 13355, Germany
| | - Yilei Zheng
- Neurophotonics Center, Biomedical Engineering, Boston University, Boston, MA 02215, USA
- State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China
| | | | - Swathi Kiran
- Department of Speech, Language, and Hearing, Boston University, Boston, MA 02215, USA
| | - David C. Somers
- Department of Psychological and Brain Sciences, Boston University, Boston, MA 02215, USA
| | - Alice Cronin-Golomb
- Department of Psychological and Brain Sciences, Boston University, Boston, MA 02215, USA
| | - Louis N. Awad
- College of Health and Rehabilitation Sciences, Sargent College, Boston University, Boston, MA 02215, USA
| | - Terry D. Ellis
- College of Health and Rehabilitation Sciences, Sargent College, Boston University, Boston, MA 02215, USA
| | - David A. Boas
- Neurophotonics Center, Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - Meryem A. Yücel
- Neurophotonics Center, Biomedical Engineering, Boston University, Boston, MA 02215, USA
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23
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Sui SX, Hordacre B, Pasco JA. Are Sarcopenia and Cognitive Dysfunction Comorbid after Stroke in the Context of Brain-Muscle Crosstalk? Biomedicines 2021; 9:biomedicines9020223. [PMID: 33671531 PMCID: PMC7926475 DOI: 10.3390/biomedicines9020223] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 02/18/2021] [Accepted: 02/18/2021] [Indexed: 02/07/2023] Open
Abstract
Stroke is a leading cause of death and disability and is responsible for a significant economic burden. Sarcopenia and cognitive dysfunction are common consequences of stroke, but there is less awareness of the concurrency of these conditions. In addition, few reviews are available to guide clinicians and researchers on how to approach sarcopenia and cognitive dysfunction as comorbidities after stroke, including how to assess and manage them and implement interventions to improve health outcomes. This review synthesises current knowledge about the relationship between post-stroke sarcopenia and cognitive dysfunction, including the physiological pathways, assessment tools, and interventions involved.
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Affiliation(s)
- Sophia X. Sui
- IMPACT—The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Deakin University, Victoria, VIC 3220, Australia;
- Correspondence: ; Tel.: +61-3-42153306 (ext. 53306); Fax: +61-3-42153491
| | - Brenton Hordacre
- IIMPACT in Health, Allied Health and Human Performance, University of South Australia, Adelaide, SA 5000, Australia;
| | - Julie A. Pasco
- IMPACT—The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Deakin University, Victoria, VIC 3220, Australia;
- Department of Medicine–Western Health, The University of Melbourne, St Albans, VIC 3021, Australia
- Barwon Health, University Hospital Geelong, Geelong, VIC 3220, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Prahran, VIC 3181, Australia
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24
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Zamboni P. Vascular Biomarkers: Physics Parameters and Circulating Molecules Can Be Two Faces of the Same Coin. Diagnostics (Basel) 2021; 11:diagnostics11020217. [PMID: 33540677 PMCID: PMC7912994 DOI: 10.3390/diagnostics11020217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 01/26/2021] [Accepted: 01/27/2021] [Indexed: 11/16/2022] Open
Abstract
The arterial, venous and lymphatic conduits of human circulation are a fascinating field of research [...].
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Affiliation(s)
- Paolo Zamboni
- Department of Surgery, Vascular Disease Centre University Hospital of Ferrara, 44124 Cona, Italy
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25
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Lee YQ, Tay GWN, Ho CSH. Clinical Utility of Functional Near-Infrared Spectroscopy for Assessment and Prediction of Suicidality: A Systematic Review. Front Psychiatry 2021; 12:716276. [PMID: 34658955 PMCID: PMC8517226 DOI: 10.3389/fpsyt.2021.716276] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 09/07/2021] [Indexed: 12/25/2022] Open
Abstract
Introduction: Suicide is a pressing psychiatric concern worldwide with no established biomarker. While there is some evidence of the clinical utility of functional near-infrared spectroscopy (fNIRS) in assessing and predicting suicidality, no systematic review of such evidence has been conducted to date. Therefore, this review aimed to systematically review and gather evidence from existing studies that used fNIRS signals to assess suicidality and its associated changes in the brain, and those that examined how such signals correlated with suicide symptomatology. Methods: PubMed, EMBASE, and Cochrane Library databases were used in a systematic literature search for English-language articles published between 2000 and December 19, 2020 that focused on the utility of fNIRS for (i) assessing suicidality and its associated changes in the brain, and (ii) correlating with suicide symptomatology. Studies were included if they utilised fNIRS to evaluate variations in fNIRS-measured cerebral hemodynamic responses in patients with different mental disorders (e.g., major depressive disorder, schizophrenia), as well as in healthy controls, of any age group. Quality of evidence was assessed using the Newcastle-Ottawa quality assessment scale. Results: A total of 7 cross-sectional studies were included in this review, all of which had acceptable quality. Across all studies, fNIRS demonstrated reduced cerebral hemodynamic changes in suicidal individuals when compared to non-suicidal individuals. One study also demonstrated the potential of fNIRS signals in correlating with the severity of suicidality. Conclusions: This review provides a comprehensive, updated review of evidence supporting the clinical utility of fNIRS in the assessment and prediction of suicidality. Further studies involving larger sample sizes, standardised methodology, and longitudinal follow-ups are needed.
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Affiliation(s)
- Y Q Lee
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Gabrielle W N Tay
- Department of Psychological Medicine, National University Health System, Singapore, Singapore
| | - Cyrus S H Ho
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Psychological Medicine, National University Health System, Singapore, Singapore
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