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Zhang F, Liu W, Guo Q, Hu Y, Hu H, Zheng Y, Chen H, Liu C, Tang X, Wei Y, Wang J, Li G, Zhang T, Liu X. Attenuated frontotemporal brain activation during cognitive tasks is associated with lower succinate dehydrogenase protein levels in patients with major depressive disorder. J Affect Disord 2024; 363:563-571. [PMID: 39067530 DOI: 10.1016/j.jad.2024.07.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 06/05/2024] [Accepted: 07/12/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND Previous studies have shown a lower hemodynamic response in patients with major depressive disorder (MDD) during cognitive tasks. However, the mechanism underlying impaired hemodynamic and neural responses to cognitive tasks in MDD patients remains unclear. Succinate dehydrogenase (SDH) is a key biomarker of mitochondrial energy generation, and it can affect the hemodynamic response via the neurovascular coupling effect. In the current study, cerebral hemodynamic responses were detected during verbal fluency tasks (VFTs) via functional near-infrared spectroscopy (fNIRS) and SDH protein levels were examined in serum from MDD patients to quickly identify whether these hemodynamic alterations were related to mitochondrial energy metabolism. METHODS Fifty patients with first-episode drug-naïve MDD and 42 healthy controls (HCs) were recruited according to inclusion and exclusion criteria. The 17-item Hamilton Depression Rating Scale (17-HDRS), Hamilton Anxiety Rating Scale (HAMA) and Inventory of Depressive Symptomatology-Self Report (IDS-SR) were used to assess the clinical symptoms of the patients. All participants underwent fNIRS measurements to evaluate cerebral hemodynamic responses in the frontal and temporal cortex during VFTs; moreover, SDH protein levels were measured using an enzyme-linked immunosorbent assay. RESULTS Activation in the frontal-temporal brain region during the VFTs was lower in patients with MDD than in HCs. The SDH level in the serum of MDD patients was also significantly lower than that in HCs (p = 0.003), which significantly affected right lateral frontal (p = 0.025) and right temporal (p = 0.022) lobe activation. Both attenuated frontal-temporal activation during the VFTs (OR = 1.531) and lower SDH levels (OR = 1.038) were risk factors for MDD. CONCLUSIONS MDD patients had lower cerebral hemodynamic responses to VFTs; this was associated with mitochondrial dysfunction, as indicated by SDH protein levels. Furthermore, attenuated hemodynamic responses in frontotemporal regions and lower SDH levels increased the risk for MDD. LIMITATIONS The sample size is relatively small. SDH protein levels in peripheral blood may not necessarily reflect mitochondrial energy generation in the central nervous system.
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Affiliation(s)
- Fuxu Zhang
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Wanying Liu
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Qian Guo
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yao Hu
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Hao Hu
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yanqun Zheng
- Huashan Hospital, Fudan University, 200040, China
| | - Haiying Chen
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Caiping Liu
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Xiaochen Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yanyan Wei
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Guanjun Li
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.
| | - Tianhong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.
| | - Xiaohua Liu
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.
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Kumari A, Edla DR, Reddy RR, Jannu S, Vidyarthi A, Alkhayyat A, de Marin MSG. EEG-based motor imagery channel selection and classification using hybrid optimization and two-tier deep learning. J Neurosci Methods 2024; 409:110215. [PMID: 38968976 DOI: 10.1016/j.jneumeth.2024.110215] [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: 04/22/2024] [Revised: 06/14/2024] [Accepted: 06/28/2024] [Indexed: 07/07/2024]
Abstract
Brain-computer interface (BCI) technology holds promise for individuals with profound motor impairments, offering the potential for communication and control. Motor imagery (MI)-based BCI systems are particularly relevant in this context. Despite their potential, achieving accurate and robust classification of MI tasks using electroencephalography (EEG) data remains a significant challenge. In this paper, we employed the Minimum Redundancy Maximum Relevance (MRMR) algorithm to optimize channel selection. Furthermore, we introduced a hybrid optimization approach that combines the War Strategy Optimization (WSO) and Chimp Optimization Algorithm (ChOA). This hybridization significantly enhances the classification model's overall performance and adaptability. A two-tier deep learning architecture is proposed for classification, consisting of a Convolutional Neural Network (CNN) and a modified Deep Neural Network (M-DNN). The CNN focuses on capturing temporal correlations within EEG data, while the M-DNN is designed to extract high-level spatial characteristics from selected EEG channels. Integrating optimal channel selection, hybrid optimization, and the two-tier deep learning methodology in our BCI framework presents an enhanced approach for precise and effective BCI control. Our model got 95.06% accuracy with high precision. This advancement has the potential to significantly impact neurorehabilitation and assistive technology applications, facilitating improved communication and control for individuals with motor impairments.
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Affiliation(s)
- Annu Kumari
- Department of Computer Science and Engineering, National Institute of Technology Goa, Cuncolim, South Goa, 403 703, Goa, India.
| | - Damodar Reddy Edla
- Department of Computer Science and Engineering, National Institute of Technology Goa, Cuncolim, South Goa, 403 703, Goa, India.
| | - R Ravinder Reddy
- Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, 500 075, India.
| | - Srikanth Jannu
- Department of Computer Science and Engineering, Vaagdevi Engineering College, Warangal, Telangana, 506 005, India.
| | - Ankit Vidyarthi
- Department of CSE&IT, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, 201309, India.
| | | | - Mirtha Silvana Garat de Marin
- Engineering Research & Innovation Group, Universidad Europea del Atlántico, C/Isabel Torres 21, 39011 Santander, Spain; Department of Project Management, Universidad Internacional Iberoamericana, Arecibo, PR 00613, USA; Department of Project Management, Universidade Internacional do Cuanza, Estrada Nacional 250, Bairro Kaluapanda, Cuito-Bié, Angola.
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3
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Wei L, Dong H, Ding F, Luo C, Wang C, Baeken C, Wu GR. Shared and distinctive brain networks underlying trait and state rumination. Behav Brain Res 2024; 472:115144. [PMID: 38992844 DOI: 10.1016/j.bbr.2024.115144] [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: 05/01/2024] [Revised: 07/06/2024] [Accepted: 07/08/2024] [Indexed: 07/13/2024]
Abstract
Although trait and state rumination play a central role in the exacerbation of negative affect, evidence suggests that they are weakly correlated and exert distinct influences on emotional reactivity to stressors. Whether trait and state rumination share a common or exhibit distinct neural substrate remains unclear. In this study, we utilized functional near-infrared spectroscopy (fNIRS) combined with connectome-based predictive modeling (CPM) to identify neural fingerprints associated with trait and state rumination. CPM identified distinctive functional connectivity (FC) profiles that contribute to the prediction of trait rumination, primarily involving FC within the default mode network (DMN) and the dorsal attention network (DAN) as well as FC between the DMN, control network (CN), DAN, and salience network (SN). Conversely, state rumination was predominantly associated with FC between the DMN and CN. Furthermore, the predictive features of trait rumination can be robustly generalized to predict state rumination, and vice versa. In conclusion, this study illuminates the importance of both DMN and non-DMN systems in the emergence and persistence of rumination. While trait rumination was associated with stronger and broader FC than state rumination, the generalizability of the predictive features underscores the presence of shared neural mechanisms between the two forms of rumination. These identified connectivity fingerprints may hold promise as targets for innovative therapeutic interventions aimed at mitigating rumination-related negative affect.
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Affiliation(s)
- Luqing Wei
- Key Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing, China; School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Hui Dong
- Key Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing, China
| | - Fanxi Ding
- School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Can Luo
- Key Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing, China
| | - Chanyu Wang
- Ghent Experimental Psychiatry Lab, Department of Head and Skin, UZ Gent/Universiteit Gent, Ghent, Belgium
| | - Chris Baeken
- Ghent Experimental Psychiatry Lab, Department of Head and Skin, UZ Gent/Universiteit Gent, Ghent, Belgium; Department of Psychiatry, UZ Brussel/ Neuroprotection and Neuromodulation Research Group (NEUR), Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Guo-Rong Wu
- Key Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing, China; Ghent Experimental Psychiatry Lab, Department of Head and Skin, UZ Gent/Universiteit Gent, Ghent, Belgium.
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Fu X, Franchak JM, MacNeill LA, Gunther KE, Borjon JI, Yurkovic-Harding J, Harding S, Bradshaw J, Pérez-Edgar KE. Implementing mobile eye tracking in psychological research: A practical guide. Behav Res Methods 2024:10.3758/s13428-024-02473-6. [PMID: 39147949 DOI: 10.3758/s13428-024-02473-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/20/2024] [Indexed: 08/17/2024]
Abstract
Eye tracking provides direct, temporally and spatially sensitive measures of eye gaze. It can capture visual attention patterns from infancy through adulthood. However, commonly used screen-based eye tracking (SET) paradigms are limited in their depiction of how individuals process information as they interact with the environment in "real life". Mobile eye tracking (MET) records participant-perspective gaze in the context of active behavior. Recent technological developments in MET hardware enable researchers to capture egocentric vision as early as infancy and across the lifespan. However, challenges remain in MET data collection, processing, and analysis. The present paper aims to provide an introduction and practical guide to starting researchers in the field to facilitate the use of MET in psychological research with a wide range of age groups. First, we provide a general introduction to MET. Next, we briefly review MET studies in adults and children that provide new insights into attention and its roles in cognitive and socioemotional functioning. We then discuss technical issues relating to MET data collection and provide guidelines for data quality inspection, gaze annotations, data visualization, and statistical analyses. Lastly, we conclude by discussing the future directions of MET implementation. Open-source programs for MET data quality inspection, data visualization, and analysis are shared publicly.
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Affiliation(s)
- Xiaoxue Fu
- Department of Psychology, University of South Carolina, Columbia, SC, USA.
| | - John M Franchak
- Department of Psychology, University of California Riverside, Riverside, CA, USA
| | - Leigha A MacNeill
- Department of Medical Social Sciences, Northwestern University, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Institute for Innovations in Developmental Sciences, Northwestern University, Evanston, IL, USA
| | - Kelley E Gunther
- Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD, USA
| | - Jeremy I Borjon
- Department of Psychology, University of Houston, Houston, TX, USA
- Texas Institute for Measurement, Evaluation, and Statistics, University of Houston, Houston, TX, USA
- Texas Center for Learning Disorders, University of Houston, Houston, TX, USA
| | | | - Samuel Harding
- Department of Psychology, University of South Carolina, Columbia, SC, USA
| | - Jessica Bradshaw
- Department of Psychology, University of South Carolina, Columbia, SC, USA
| | - Koraly E Pérez-Edgar
- Department of Psychology, The Pennsylvania State University, University Park, PA, USA
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5
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Zhang W, He T, Zhou N, Duan L, Chi P, Lin X. Children's oppositional defiant disorder symptoms and neural synchrony in mother-child interactions: An fNIRS study. Neuroimage 2024; 297:120736. [PMID: 39009247 DOI: 10.1016/j.neuroimage.2024.120736] [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: 06/03/2024] [Revised: 07/03/2024] [Accepted: 07/11/2024] [Indexed: 07/17/2024] Open
Abstract
Interpersonal neural synchrony (INS) between mothers and children responds to the temporal similarity of brain signals in joint behavior between dyadic partners and is considered an important neural indicator of the formation of adaptive social interaction bonds. Parent-child interactions are particularly important for the development and maintenance of oppositional defiant disorder (ODD) in children, but the underlying neurocognitive mechanisms are unknown. Therefore, in the current study we measured INS between mothers and children in interactions by using simultaneous functional Near-infrared Spectroscopy (fNIRS), and explored its association with ODD symptoms in children. Seventy-two mother-child dyads were recruited to participate in the study, including 35 children with ODD and 37 healthy children to be used as a control. Each mother-child dyad was measured for neural activity in frontal, parietal, and temporal lobe regions while completing free-play as well as positive, and negative topic discussion tasks. We used Phase-locked value to calculate the synchrony strength and then used the K-means algorithm and k-space based alignment tests to confirm the specific patterns of parent-child synchrony in different brain areas. The results showed that, in free-play (right MFG and bilateral SFG), positive (left TPJ and bilateral SFGdor), and negative (bilateral SFGmed, right ANG, and left MFG) topic discussions, the mother-child pairs showed different patterns of INS. These specific INS patterns were significantly lower in the ODD group compared to the control group and were negatively associated with ODD symptoms in children. Network analyses showed that these INS patterns were connected to different nodes in the ODD symptom network. Our findings suggest that ODD mother-child dyads exhibit lower neural synchrony across a wide range of parent-child interactions. Neural synchrony in the context of interpersonal interactions provides new insights into understanding the neural mechanisms of ODD and can be used as an indicator of neural and socio-environmental factors in the network of psychological disorder symptoms.
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Affiliation(s)
- Wenrui Zhang
- Institute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Beijing 100875, China
| | - Ting He
- Institute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Beijing 100875, China
| | - Nan Zhou
- Faculty of Education, University of Macau, Macau, China
| | - Lian Duan
- Shenzhen Key Laboratory of Affective and Social Neuroscience, Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen, China
| | - Peilian Chi
- Department of Psychology, University of Macau, Taipa 999078, Macau
| | - Xiuyun Lin
- Institute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing 100875, China.
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Yang J, Ma S, Cheng A, Zhang L, Li B, Cui W, Li K, Zhang Y, Liu X. Analysis of functional network asymmetry in major depressive disorder under four fNIRS tasks. J Affect Disord 2024:S0165-0327(24)01235-7. [PMID: 39137836 DOI: 10.1016/j.jad.2024.08.022] [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: 03/29/2024] [Revised: 07/10/2024] [Accepted: 08/09/2024] [Indexed: 08/15/2024]
Abstract
BACKGROUND Research in functional asymmetry of Major Depressive Disorder (MDD) under different tasks is crucial for clinical diagnose. METHODS Fifty individuals with MDD and twenty healthy controls (HCS) were recruited for hemodynamic data collection under four fNIRS tasks (Emotional picture, Verbal fluency, Fingering and Negative emotional picture description task). Integral values and functional connectivity strength were employed to probe neural activation and functional connectivity in frontal and temporal lobes in MDD. Following, asymmetry characteristic of the frontal cortex between MDD and HCS under four tasks were carefully analyzed and compared. RESULTS Individuals with MDD demonstrated heightened connectivity between the frontal and right temporal lobes and reduced connectivity between the frontal and left temporal lobes compared to HCS in all tasks. Additionally, MDD exhibited attenuated activation in the left frontal lobes and exaggerated activation in the right frontal lobes, diverging from HCS. Furthermore, the disparities in left-right asymmetry characteristic of frontal cortex activation between MDD and HCS were more pronounced during the combined task. LIMITATIONS Further research is required to grasp the neurophysiological mechanisms governing left-right asymmetry across various tasks and the influence of task-induced brain fatigue on cerebral cortex hemodynamics in MDD. CONCLUSION The left-right asymmetry feature provides valuable neurophysiological insights for diagnosing MDD clinically. Variations in activation patterns and functional connectivity features between MDD and HCS are closely tied to the task chosen. Thus, in clinical practice, carefully selecting appropriate fNIRS tasks and relevant features can significantly improve the diagnostic accuracy of MDD.
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Affiliation(s)
- Jianli Yang
- College of Electronic and Information Engineering, Hebei University, Baoding 071002, China; Key Laboratory of Digital Medical Engineering of Heibei Province, Baoding 071002, China
| | - Shuwei Ma
- College of Electronic and Information Engineering, Hebei University, Baoding 071002, China
| | - Aobo Cheng
- Hebei Provincial Mental Health Center, Baoding 071000, China; Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding 071000, China; The Sixth Clinical Medical College of Hebei University, Baoding 071000, China
| | - Lili Zhang
- Hebei Provincial Mental Health Center, Baoding 071000, China; Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding 071000, China; The Sixth Clinical Medical College of Hebei University, Baoding 071000, China
| | - Bing Li
- Hebei Provincial Mental Health Center, Baoding 071000, China; Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding 071000, China; The Sixth Clinical Medical College of Hebei University, Baoding 071000, China
| | - Wei Cui
- Hebei Provincial Mental Health Center, Baoding 071000, China
| | - Keqing Li
- Hebei Provincial Mental Health Center, Baoding 071000, China; Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding 071000, China; The Sixth Clinical Medical College of Hebei University, Baoding 071000, China
| | - Yunshu Zhang
- Hebei Provincial Mental Health Center, Baoding 071000, China; Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding 071000, China; The Sixth Clinical Medical College of Hebei University, Baoding 071000, China.
| | - Xiuling Liu
- College of Electronic and Information Engineering, Hebei University, Baoding 071002, China; Key Laboratory of Digital Medical Engineering of Heibei Province, Baoding 071002, China.
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Dani C, Perugi S, Pizzetti C, Poggi C, Corsini I, Pratesi S. Monitoring lung and cerebral oxygenation using near-infrared spectroscopy in preterm infants during kangaroo mother care. Eur J Pediatr 2024:10.1007/s00431-024-05674-5. [PMID: 39120699 DOI: 10.1007/s00431-024-05674-5] [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: 04/22/2024] [Revised: 06/21/2024] [Accepted: 06/27/2024] [Indexed: 08/10/2024]
Abstract
Lung function has never been assessed during kangaroo mother care (KMC) in preterm infants. We measured lung (rSO2L) and cerebral (rSO2C) oxygenation by near-infrared spectroscopy (NIRS) in infants born at less than 32 weeks of gestation or weighing ≤ 1500 g during KMC. rSO2L, rSO2C, and pulmonary (FOEL) and cerebral (FOEC) tissue oxygen extraction fraction were measured in 20 preterm infants before, during, and after a 2-h period of KMC at a mean postnatal age of 36 ± 21 days of life. We found that rSO2L, rSO2C, FOEL, and FOEC did not change in our patients. After 120 min of KMC, rSO2L was lower (71.3 ± 1.4 vs. 76.7 ± 4.6%; P = 0.012) in infants with BPD (n = 6; 30%) than in infants without BPD (n = 14 = 60%), while FOEL was higher (0.26 ± 0.02 vs. 0.20 ± 0.05; P = 0.012).Conclusion: Cerebral and lung oxygenation did not change in preterm infants during KMC. A transient decrease in lung oxygenation was offset by the increase in oxygen extraction, but these changes were clinically insignificant. These results confirm the safety of KMC in preterm infants who are in stable clinical conditions. What is Known • Kangaroo mother care (KMC) is widely used to improve the care of preterm newborns since it improves their outcome. • KMC is safe as patients' vital parameters, are not negatively affected, but lung function has never been directly assessed. What is New • Cerebral and lung oxygenation measured by near-infrared spectroscopy did not change during KMC. • A transient decrease in lung oxygenation compensated for by the increase in oxygen extraction occurred only in infants with BPD, but these changes were clinically insignificant.
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Affiliation(s)
- Carlo Dani
- Division of Neonatology, Careggi University Hospital of Florence, Largo Brambilla, 3, Florence, 50141, Italy.
- Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.
| | - Silvia Perugi
- Division of Neonatology, Careggi University Hospital of Florence, Largo Brambilla, 3, Florence, 50141, Italy
| | - Camilla Pizzetti
- Division of Neonatology, Careggi University Hospital of Florence, Largo Brambilla, 3, Florence, 50141, Italy
| | - Chiara Poggi
- Division of Neonatology, Careggi University Hospital of Florence, Largo Brambilla, 3, Florence, 50141, Italy
| | - Iuri Corsini
- Division of Neonatology, Careggi University Hospital of Florence, Largo Brambilla, 3, Florence, 50141, Italy
| | - Simone Pratesi
- Division of Neonatology, Careggi University Hospital of Florence, Largo Brambilla, 3, Florence, 50141, Italy
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Yamasaki T, Zhao Z. Editorial: Novel brain imaging methods for the aid of neurological and neuropsychiatric disorders. Front Neurosci 2024; 18:1468794. [PMID: 39170674 PMCID: PMC11336413 DOI: 10.3389/fnins.2024.1468794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Accepted: 07/26/2024] [Indexed: 08/23/2024] Open
Affiliation(s)
- Takao Yamasaki
- Department of Neurology, Minkodo Minohara Hospital, Fukuoka, Japan
- Kumagai Institute of Health Policy, Fukuoka, Japan
| | - Zhiyong Zhao
- Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
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Wang D, Wu Y, Yu H. State of the Art of Brain Function Detection Technologies in Robot-Assisted Lower Limb Rehabilitation. Brain Connect 2024. [PMID: 39001823 DOI: 10.1089/brain.2024.0005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/15/2024] Open
Abstract
Background: With an aging population, the prevalence of neurological disorders is increasing, leading to a rise in lower limb movement disorders and, in turn, a growing need for rehabilitation training. Previous neuroimaging studies have shown a growing scientific interest in the study of brain mechanisms in robot-assisted lower limb rehabilitation (RALLR). Objective: This review aimed to determine differences in neural activity patterns during different RALLR tasks and the impact on neurofunctional plasticity. Methods: Sixty-five articles in the field of RALLR were selected and tested using three brain function detection technologies. Results: Most studies have focused on changes in activity in various regions of the cerebral cortex during different lower limb rehabilitation tasks but have also increasingly focused on functional changes in other cortical and deep subcortical structures. Our analysis also revealed a neglect of certain task types. Conclusion: We identify and discuss future research directions that may contribute to a clear understanding of neural functional plasticity under different RALLR tasks.
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Affiliation(s)
- Duojin Wang
- Institute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China
- Shanghai Engineering Research Center of Assistive Devices, Shanghai, China
| | - Yihe Wu
- Institute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China
| | - Hongliu Yu
- Institute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China
- Shanghai Engineering Research Center of Assistive Devices, Shanghai, China
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Stringfellow JS, Liran O, Lin MH, Baker TE. Recording Neural Reward Signals in a Naturalistic Operant Task Using Mobile-EEG and Augmented Reality. eNeuro 2024; 11:ENEURO.0372-23.2024. [PMID: 39013585 PMCID: PMC11315430 DOI: 10.1523/eneuro.0372-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 05/10/2024] [Accepted: 05/28/2024] [Indexed: 07/18/2024] Open
Abstract
The electrophysiological response to rewards recorded during laboratory tasks has been well documented, yet little is known about the neural response patterns in a more naturalistic setting. Here, we combined a mobile-EEG system with an augmented reality headset to record event-related brain potentials (ERPs) while participants engaged in a naturalistic operant task to find rewards. Twenty-five participants were asked to navigate toward a west or east goal location marked by floating orbs, and once participants reached the goal location, the orb would then signify a reward (5 cents) or no-reward (0 cents) outcome. Following the outcome, participants returned to a start location marked by floating purple rings, and once standing in the middle, a 3 s counter signaled the next trial, for a total of 200 trials. Consistent with previous research, reward feedback evoked the reward positivity, an ERP component believed to index the sensitivity of the anterior cingulate cortex to reward prediction error signals. The reward positivity peaked ∼230 ms with a maximal at channel FCz (M = -0.695 μV, ±0.23) and was significantly different than zero (p < 0.01). Participants took ∼3.38 s to reach the goal location and exhibited a general lose-shift (68.3% ±3.5) response strategy and posterror slowing. Overall, these novel findings provide support for the idea that combining mobile-EEG with augmented reality technology is a feasible solution to enhance the ecological validity of human electrophysiological studies of goal-directed behavior and a step toward a new era of human cognitive neuroscience research that blurs the line between laboratory and reality.
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Affiliation(s)
- Jaleesa S Stringfellow
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey 07102
| | - Omer Liran
- Department of Psychiatry & Behavioral Neurosciences, Cedars-Sinai Virtual Medicine, Los Angeles, California 90048
| | - Mei-Heng Lin
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey 07102
| | - Travis E Baker
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey 07102
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Karunakaran KD, Pascale M, Ozana N, Potter K, Pachas GN, Evins AE, Gilman JM. Intoxication due to Δ9-tetrahydrocannabinol is characterized by disrupted prefrontal cortex activity. Neuropsychopharmacology 2024; 49:1481-1490. [PMID: 38714786 PMCID: PMC11251178 DOI: 10.1038/s41386-024-01876-5] [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: 01/30/2024] [Revised: 04/08/2024] [Accepted: 04/23/2024] [Indexed: 05/10/2024]
Abstract
Neural states of impairment from intoxicating substances, including cannabis, are poorly understood. Cannabinoid 1 receptors, the main target of Δ9-tetrahydrocannabinol (THC), the primary intoxicating cannabinoid in cannabis, are densely localized within prefrontal cortex; therefore, prefrontal brain regions are key locations to examine brain changes that characterize acute intoxication. We conducted a double-blind, randomized, cross-over study in adults, aged 18-55 years, who use cannabis regularly, to determine the effects of acute intoxication on prefrontal cortex resting-state measures, assessed with portable functional near-infrared spectroscopy. Participants received oral THC (10-80 mg, individually dosed to overcome tolerance and achieve acute intoxication) and identical placebo, randomized for order; 185 adults were randomized and 128 completed both study days and had usable data. THC was associated with expected increases in subjective intoxication ratings (ES = 35.30, p < 0.001) and heart rate (ES = 11.15, p = 0.001). THC was associated with decreased correlations and anticorrelations in static resting-state functional connectivity within the prefrontal cortex relative to placebo, with weakest correlations and anticorrelations among those who reported greater severity of intoxication (RSFC between medial PFC-ventromedial PFC and DEQ scores, r = 0.32, p < 0.001; RSFC between bilateral mPFC and DEQ scores, r = -0.28, p = 0.001). Relative to placebo, THC was associated with increased variability (or reduced stability) in dynamic resting-state functional connectivity of the prefrontal cortex at p = 0.001, consistent across a range of window sizes. Finally, using frequency power spectrum analyses, we observed that relative to placebo, THC was associated with widespread reduced spectral power within the prefrontal cortex across the 0.073-0.1 Hz frequency range at p < 0.039. These neural features suggest a disruptive influence of THC on the neural dynamics of the prefrontal cortex and may underlie cognitive impairing effects of THC that are detectable with portable imaging. This study is registered in Clinicaltrials.gov (NCT03655717).
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Affiliation(s)
- Keerthana Deepti Karunakaran
- Massachusetts General Hospital (MGH) Department of Psychiatry, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Michael Pascale
- Massachusetts General Hospital (MGH) Department of Psychiatry, Boston, MA, USA
| | - Nisan Ozana
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Faculty of Engineering and The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat-Gan, 52900, Israel
| | - Kevin Potter
- Massachusetts General Hospital (MGH) Department of Psychiatry, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Gladys N Pachas
- Massachusetts General Hospital (MGH) Department of Psychiatry, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - A Eden Evins
- Massachusetts General Hospital (MGH) Department of Psychiatry, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jodi M Gilman
- Massachusetts General Hospital (MGH) Department of Psychiatry, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
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12
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Freet CS, Evans B, Brick TR, Deneke E, Wasserman EJ, Ballard SM, Stankoski DM, Kong L, Raja-Khan N, Nyland JE, Arnold AC, Krishnamurthy VB, Fernandez-Mendoza J, Cleveland HH, Scioli AD, Molchanow A, Messner AE, Ayaz H, Grigson PS, Bunce SC. Ecological momentary assessment and cue-elicited drug craving as primary endpoints: study protocol for a randomized, double-blind, placebo-controlled clinical trial testing the efficacy of a GLP-1 receptor agonist in opioid use disorder. Addict Sci Clin Pract 2024; 19:56. [PMID: 39061093 PMCID: PMC11282646 DOI: 10.1186/s13722-024-00481-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 06/07/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Despite continuing advancements in treatments for opioid use disorder (OUD), continued high rates of relapse indicate the need for more effective approaches, including novel pharmacological interventions. Glucagon-like peptide 1 receptor agonists (GLP-1RA) provide a promising avenue as a non-opioid medication for the treatment of OUD. Whereas GLP-1RAs have shown promise as a treatment for alcohol and nicotine use disorders, to date, no controlled clinical trials have been conducted to determine if a GLP-1RA can reduce craving in individuals with OUD. The purpose of the current protocol was to evaluate the potential for a GLP-1RA, liraglutide, to safely and effectively reduce craving in an OUD population in residential treatment. METHOD This preliminary study was a randomized, double-blinded, placebo-controlled clinical trial designed to test the safety and efficacy of the GLP-1RA, liraglutide, in 40 participants in residential treatment for OUD. Along with taking a range of safety measures, efficacy for cue-induced craving was evaluated prior to (Day 1) and following (Day 19) treatment using a Visual Analogue Scale (VAS) in response to a cue reactivity task during functional near-infrared spectroscopy (fNIRS) and for craving. Efficacy of treatment for ambient craving was assessed using Ecological Momentary Assessment (EMA) prior to (Study Day 1), across (Study Days 2-19), and following (Study Days 20-21) residential treatment. DISCUSSION This manuscript describes a protocol to collect clinical data on the safety and efficacy of a GLP-1RA, liraglutide, during residential treatment of persons with OUD, laying the groundwork for further evaluation in a larger, outpatient OUD population. Improved understanding of innovative, non-opioid based treatments for OUD will have the potential to inform community-based interventions and health policy, assist physicians and health care professionals in the treatment of persons with OUD, and to support individuals with OUD in their effort to live a healthy life. TRIAL REGISTRATION ClinicalTrials.gov: NCT04199728. Registered 16 December 2019, https://clinicaltrials.gov/study/NCT04199728?term=NCT04199728 . PROTOCOL VERSION 10 May 2023.
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Affiliation(s)
- Christopher S Freet
- Department of Psychiatry and Behavioral Health, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Brianna Evans
- Department of Neural and Behavioral Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Timothy R Brick
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA
- Institute for Computational and Data Sciences, The Pennsylvania State University, University Park, PA, USA
| | - Erin Deneke
- Fran and Doug Tieman Center for Research, Caron Treatment Centers, Wernersville, PA, USA
| | - Emily J Wasserman
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Sarah M Ballard
- Department of Neural and Behavioral Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Dean M Stankoski
- Fran and Doug Tieman Center for Research, Caron Treatment Centers, Wernersville, PA, USA
| | - Lan Kong
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Nazia Raja-Khan
- Department of Psychiatry and Behavioral Health, The Pennsylvania State University College of Medicine, Hershey, PA, USA
- Department of Medicine, The Pennsylvania State University College of Medicine, Hershey, PA, USA
- Department of Obstetrics & Gynecology, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Jennifer E Nyland
- Department of Neural and Behavioral Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Amy C Arnold
- Department of Neural and Behavioral Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Venkatesh Basappa Krishnamurthy
- Department of Medicine and Psychiatry, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Julio Fernandez-Mendoza
- Department of Psychiatry and Behavioral Health, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - H Harrington Cleveland
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA
| | - Adam D Scioli
- Fran and Doug Tieman Center for Research, Caron Treatment Centers, Wernersville, PA, USA
| | | | | | - Hasan Ayaz
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA
| | - Patricia S Grigson
- Department of Neural and Behavioral Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Scott C Bunce
- Department of Psychiatry and Behavioral Health, The Pennsylvania State University College of Medicine, Hershey, PA, USA.
- Penn State University College of Medicine, Milton S. Hershey Medical Center, H073, 500 University Drive, Hershey, PA, 17033-0850, USA.
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13
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Rathbone E, Fu D. Quantitative Optical Imaging of Oxygen in Brain Vasculature. J Phys Chem B 2024; 128:6975-6989. [PMID: 38991095 DOI: 10.1021/acs.jpcb.4c01277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2024]
Abstract
The intimate relationship between neuronal activity and cerebral oxygenation underpins fundamental brain functions like cognition, sensation, and motor control. Optical imaging offers a noninvasive approach to assess brain oxygenation and often serves as an indirect proxy for neuronal activity. However, deciphering neurovascular coupling─the intricate interplay between neuronal activity, blood flow, and oxygen delivery─necessitates independent, high spatial resolution, and high temporal resolution measurements of both microvasculature oxygenation and neuronal activation. This Perspective examines the established optical techniques employed for brain oxygen imaging, specifically functional near-infrared spectroscopy, photoacoustic imaging, optical coherence tomography, and two-photon phosphorescent lifetime microscopy, highlighting their fundamental principles, strengths, and limitations. Several other emerging optical techniques are also introduced. Finally, we discuss key technological challenges and future directions for quantitative optical oxygen imaging, paving the way for a deeper understanding of oxygen metabolism in the brain.
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Affiliation(s)
- Emily Rathbone
- Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
| | - Dan Fu
- Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
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14
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Mai G, Jiang Z, Wang X, Tachtsidis I, Howell P. Neuroplasticity of Speech-in-Noise Processing in Older Adults Assessed by Functional Near-Infrared Spectroscopy (fNIRS). Brain Topogr 2024:10.1007/s10548-024-01070-2. [PMID: 39042322 DOI: 10.1007/s10548-024-01070-2] [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: 11/11/2023] [Accepted: 07/13/2024] [Indexed: 07/24/2024]
Abstract
Functional near-infrared spectroscopy (fNIRS), a non-invasive optical neuroimaging technique that is portable and acoustically silent, has become a promising tool for evaluating auditory brain functions in hearing-vulnerable individuals. This study, for the first time, used fNIRS to evaluate neuroplasticity of speech-in-noise processing in older adults. Ten older adults, most of whom had moderate-to-mild hearing loss, participated in a 4-week speech-in-noise training. Their speech-in-noise performances and fNIRS brain responses to speech (auditory sentences in noise), non-speech (spectrally-rotated speech in noise) and visual (flashing chequerboards) stimuli were evaluated pre- (T0) and post-training (immediately after training, T1; and after a 4-week retention, T2). Behaviourally, speech-in-noise performances were improved after retention (T2 vs. T0) but not immediately after training (T1 vs. T0). Neurally, we intriguingly found brain responses to speech vs. non-speech decreased significantly in the left auditory cortex after retention (T2 vs. T0 and T2 vs. T1) for which we interpret as suppressed processing of background noise during speech listening alongside the significant behavioural improvements. Meanwhile, functional connectivity within and between multiple regions of temporal, parietal and frontal lobes was significantly enhanced in the speech condition after retention (T2 vs. T0). We also found neural changes before the emergence of significant behavioural improvements. Compared to pre-training, responses to speech vs. non-speech in the left frontal/prefrontal cortex were decreased significantly both immediately after training (T1 vs. T0) and retention (T2 vs. T0), reflecting possible alleviation of listening efforts. Finally, connectivity was significantly decreased between auditory and higher-level non-auditory (parietal and frontal) cortices in response to visual stimuli immediately after training (T1 vs. T0), indicating decreased cross-modal takeover of speech-related regions during visual processing. The results thus showed that neuroplasticity can be observed not only at the same time with, but also before, behavioural changes in speech-in-noise perception. To our knowledge, this is the first fNIRS study to evaluate speech-based auditory neuroplasticity in older adults. It thus provides important implications for current research by illustrating the promises of detecting neuroplasticity using fNIRS in hearing-vulnerable individuals.
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Affiliation(s)
- Guangting Mai
- National Institute for Health and Care Research Nottingham Biomedical Research Centre, Nottingham, UK.
- Academic Unit of Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK.
- Division of Psychology and Language Sciences, University College London, London, UK.
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
| | - Zhizhao Jiang
- Division of Psychology and Language Sciences, University College London, London, UK
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Xinran Wang
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Ilias Tachtsidis
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Peter Howell
- Division of Psychology and Language Sciences, University College London, London, UK
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15
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Crivelli D, Balconi M. From physical to digital: A theoretical-methodological primer on designing hyperscanning investigations to explore remote exchanges. Soc Neurosci 2024:1-9. [PMID: 39043222 DOI: 10.1080/17470919.2024.2380725] [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: 12/13/2023] [Indexed: 07/25/2024]
Abstract
As individuals increasingly engage in social interactions through digital mediums, understanding the neuroscientific underpinnings of such exchanges becomes a critical challenge and a valuable opportunity. In line with a second-person neuroscience approach, understanding the forms of interpersonal syntonisation that occur during digital interactions is pivotal for grasping the mechanisms underlying successful collaboration in virtual spaces. The hyperscanning paradigm, involving the simultaneous monitoring of the brains and bodies of multiple interacting individuals, seems to be a powerful tool for unravelling the neural correlates of interpersonal syntonisation in social exchanges. We posit that such approach can now open new windows on interacting brains' responses even to digitally-conveyed social cues, offering insights into how social information is processed in the absence of traditional face-to-face settings. Yet, such paradigm shift raises challenging methodological questions, which should be answered properly to conduct significant and informative hyperscanning investigations. Here, we provide an introduction to core methodological issues dedicated to novices approaching the design of hyperscanning investigations of remote exchanges in natural settings, focusing on the selection of neuroscientific devices, synchronization of data streams, and data analysis approaches. Finally, a methodological checklist for devising robust hyperscanning studies on digital interactions is presented.
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Affiliation(s)
- Davide Crivelli
- International Research Center for Cognitive Applied Neuroscience (IrcCAN), Faculty of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy
| | - Michela Balconi
- International Research Center for Cognitive Applied Neuroscience (IrcCAN), Faculty of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy
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16
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Manuweera T, Karunakaran K, Baechler C, Rosales J, Kleckner AS, Rosenblatt P, Ciner A, Kleckner IR. Barriers and Facilitators for Participation in Brain Magnetic Resonance Imaging (MRI) Scans in Cancer Research: A Feasibility and Acceptability Analysis. RESEARCH SQUARE 2024:rs.3.rs-4595719. [PMID: 39070661 PMCID: PMC11276008 DOI: 10.21203/rs.3.rs-4595719/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Purpose A growing body of research suggests that the brain is implicated in cognitive impairment, fatigue, neuropathy, pain, nausea, sleep disturbances, distress, and other prevalent and burdensome symptoms of cancer and its treatments. Despite anecdotal evidence of difficulties using gold-standard magnetic resonance imaging (MRI) to study the brain, no studies have systematically reported reasons that patients with cancer do or do not complete research MRI scans, making it difficult to understand the role of the brain related to these symptoms. The goal of this study was to investigate these reasons and to suggest possible solutions. Methods We analyzed data from 72 patients with cancer (mostly breast and gastrointestinal) from 3 studies: MRI was mandatory in Study 1; MRI was optional in Studies 2-3. Patients provided reasons for completing or not completing optional research MRI scans. Results The percentage of scans completed when MRI was mandatory was 76%, and when optional, it was 36%. The most common reasons for not completing optional scans were claustrophobia (40%), safety contraindications (11%), discomfort (5%), a busy MRI schedule (5%), and the scanner being too far away (4%). Older patients were more likely to complete at least one scan (log(odds) = 0.09/year, p = 0.02). Conclusion Although brain MRI is feasible for many patients with cancer, it can be difficult or not feasible for patients with claustrophobia, safety issues, busy schedules, or transportation issues. Improving communication, comfort, and access to a scanner may help. Reducing inequities related to study participation can improve research supportive care research.
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17
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Hu Y, Badar IH, Zhang L, Yang L, Xu B. Odor and taste characteristics, transduction mechanism, and perceptual interaction in fermented foods: a review. Crit Rev Food Sci Nutr 2024:1-19. [PMID: 39012297 DOI: 10.1080/10408398.2024.2377292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
Fermentation is a critical technological process for flavor development in fermented foods. The combination of odor and taste, known as flavor, is crucial in enhancing people's perception and psychology toward fermented foods, thereby increasing their acceptance among consumers. This review summarized the determination and key flavor compound screening methods in fermented foods and analyzed the flavor perception, perceptual interactions, and evaluation methods. The flavor compounds in fermented foods could be separated, purified, and identified by instrument techniques, and a molecular sensory science approach could identify the key flavor compounds. How flavor compounds bind to their respective receptors determines flavor perception, which is influenced by their perceptual interactions, including odor-odor, taste-taste, and odor-taste. Evaluation methods of flavor perception mainly include human sensory evaluation, electronic sensors and biosensors, and neuroimaging techniques. Among them, the biosensor-based evaluation methods could facilitate the investigation of the flavor transduction mechanism and the neuroimaging technique could explain the brain's signals that relate to the perception of flavor and how they compare to signals from other senses. This review aims to elucidate the flavor profile of fermented foods and highlight the significance of comprehending the interactions between various flavor compounds, thus improving the healthiness and sensory attributes.
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Affiliation(s)
- Yingying Hu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, China
- State key Laboratory of Meat Quality Control and Cultured Meat Development, Jiangsu Yurun Meat Industry Group Co., Ltd, Nanjing, China
| | - Iftikhar Hussain Badar
- Department of Meat Science and Technology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Lang Zhang
- Key Laboratory of Jianghuai Agricultural Product Fine Processing and Resource Utilization, Ministry of Agriculture and Rural Affairs, Anhui Engineering Research Center for High Value Utilization of Characteristic Agricultural Products, College of Tea and Food Science and Technology, Anhui Agricultural University, Hefei, China
| | - Linwei Yang
- State key Laboratory of Meat Quality Control and Cultured Meat Development, Jiangsu Yurun Meat Industry Group Co., Ltd, Nanjing, China
| | - Baocai Xu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, China
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18
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Moffat R, Cross ES. Awareness of embodiment enhances enjoyment and engages sensorimotor cortices. Hum Brain Mapp 2024; 45:e26786. [PMID: 38994692 PMCID: PMC11240146 DOI: 10.1002/hbm.26786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 06/24/2024] [Accepted: 07/01/2024] [Indexed: 07/13/2024] Open
Abstract
Whether in performing arts, sporting, or everyday contexts, when we watch others move, we tend to enjoy bodies moving in synchrony. Our enjoyment of body movements is further enhanced by our own prior experience with performing those movements, or our 'embodied experience'. The relationships between movement synchrony and enjoyment, as well as embodied experience and movement enjoyment, are well known. The interaction between enjoyment of movements, synchrony, and embodiment is less well understood, and may be central for developing new approaches for enriching social interaction. To examine the interplay between movement enjoyment, synchrony, and embodiment, we asked participants to copy another person's movements as accurately as possible, thereby gaining embodied experience of movement sequences. Participants then viewed other dyads performing the same or different sequences synchronously, and we assessed participants' recognition of having performed these sequences, as well as their enjoyment of each movement sequence. We used functional near-infrared spectroscopy to measure cortical activation over frontotemporal sensorimotor regions while participants performed and viewed movements. We found that enjoyment was greatest when participants had mirrored the sequence and recognised it, suggesting that awareness of embodiment may be central to enjoyment of synchronous movements. Exploratory analyses of relationships between cortical activation and enjoyment and recognition implicated the sensorimotor cortices, which subserve action observation and aesthetic processing. These findings hold implications for clinical research and therapies seeking to foster successful social interaction.
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Affiliation(s)
- Ryssa Moffat
- Professorship for Social Brain Sciences, ETH ZurichZurichSwitzerland
- School of Psychological SciencesMacquarie UniversitySydneyNew South WalesAustralia
| | - Emily S. Cross
- Professorship for Social Brain Sciences, ETH ZurichZurichSwitzerland
- School of Psychological SciencesMacquarie UniversitySydneyNew South WalesAustralia
- MARCS InstituteWestern Sydney UniversitySydneyNew South WalesAustralia
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19
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Guo Y, Li Y, Liu F, Lin H, Sun Y, Zhang J, Hong Q, Yao M, Chi X. Association between neural prosody discrimination and language abilities in toddlers: a functional near-infrared spectroscopy study. BMC Pediatr 2024; 24:449. [PMID: 38997661 PMCID: PMC11241962 DOI: 10.1186/s12887-024-04889-7] [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: 11/12/2023] [Accepted: 06/18/2024] [Indexed: 07/14/2024] Open
Abstract
BACKGROUND Language delay affects near- and long-term social communication and learning in toddlers, and, an increasing number of experts pay attention to it. The development of prosody discrimination is one of the earliest stages of language development in which key skills for later stages are mastered. Therefore, analyzing the relationship between brain discrimination of speech prosody and language abilities may provide an objective basis for the diagnosis and intervention of language delay. METHODS In this study, all cases(n = 241) were enrolled from a tertiary women's hospital, from 2021 to 2022. We used functional near-infrared spectroscopy (fNIRS) to assess children's neural prosody discrimination abilities, and a Chinese communicative development inventory (CCDI) were used to evaluate their language abilities. RESULTS Ninety-eight full-term and 108 preterm toddlers were included in the final analysis in phase I and II studies, respectively. The total CCDI screening abnormality rate was 9.2% for full-term and 34.3% for preterm toddlers. Full-term toddlers showed prosody discrimination ability in all channels except channel 5, while preterm toddlers showed prosody discrimination ability in channel 6 only. Multifactorial logistic regression analyses showed that prosody discrimination of the right angular gyrus (channel 3) had a statistically significant effect on language delay (odd ratio = 0.301, P < 0.05) in full-term toddlers. Random forest (RF) regression model presented that prosody discrimination reflected by channels and brain regions based on fNIRS data was an important parameter for predicting language delay in preterm toddlers, among which the prosody discrimination reflected by the right angular gyrus (channel 4) was the most important parameter. The area under the model Receiver operating characteristic (ROC) curve was 0.687. CONCLUSIONS Neural prosody discrimination ability is positively associated with language development, assessment of brain prosody discrimination abilities through fNIRS could be used as an objective indicator for early identification of children with language delay in the future clinical application.
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Affiliation(s)
- YanRu Guo
- Children's Healthcare Department, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
| | - YanWei Li
- College of Early Childhood Education, Nanjing Xiaozhuang University, Nanjing, China
| | - FuLin Liu
- Southeast University, Nanjing, China
| | - HuanXi Lin
- Children's Healthcare Department, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
| | - YuYing Sun
- Children's Healthcare Department, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
| | - JiaLin Zhang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing, China
| | - Qin Hong
- Children's Healthcare Department, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China
| | - MengMeng Yao
- Children's Healthcare Department, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China.
| | - Xia Chi
- Children's Healthcare Department, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, China.
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Chua DMN, Chan KMK. Cortical Activation during Swallowing Exercise Tasks: an fNIRS Pilot Study. Dysphagia 2024:10.1007/s00455-024-10730-1. [PMID: 38980390 DOI: 10.1007/s00455-024-10730-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 06/21/2024] [Indexed: 07/10/2024]
Abstract
This pilot study used functional near-infrared spectroscopy (fNIRS) to examine brain activity in selected regions of the left motor and sensory cortex while doing swallowing-related tasks. Specifically, differences in cortical activation during normal saliva swallows, effortful swallows, and tongue pressing were investigated. Nine healthy, right-handed adults (5 female, 4 male; Age: 22-30 years) were recruited. The tasks included were (1) normal saliva swallowing, (2) effortful saliva swallowing, and (3) lingual pressing against the palate. Each task was completed three times in a block, for a total of five blocks. Blocks were randomized and presented with set time intervals using PsychoPy. Motor activity was highest during effortful swallows, followed by normal swallows, and lingual presses. Activation in the sensory region was not significantly different across tasks; however, effortful swallows elicited the highest mean peak activation. Our findings suggest that fNIRS can be a viable imaging method used to examine differences in cortical activity in the context of swallowing. Its applicability in future dysphagia research should be explored.
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Affiliation(s)
- Denise Mae N Chua
- Swallowing Research Laboratory, Faculty of Education, The University of Hong Kong, 7/F, Meng Wah Complex, Pokfulam, Hong Kong
| | - Karen Man-Kei Chan
- Swallowing Research Laboratory, Faculty of Education, The University of Hong Kong, 7/F, Meng Wah Complex, Pokfulam, Hong Kong.
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Zhong X, Dai Y, Xu M, Jiang C. Volleyball training improves working memory in children aged 7 to 12 years old: an fNIRS study. Cereb Cortex 2024; 34:bhae275. [PMID: 39030744 DOI: 10.1093/cercor/bhae275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 06/14/2024] [Accepted: 06/18/2024] [Indexed: 07/22/2024] Open
Abstract
This study aimed to investigate the effect of a 12-wk extracurricular volleyball training on working memory from both behavioral and cerebral aspects. A total of 80 children were randomized assigned to (i) the experimental group, who engaged in extracurricular volleyball training for 60 min, thrice a week for 12 wk, and (ii) the control group, who maintained their regular daily routine. Working memory was evaluated in both groups using the N-back task before and after the intervention. Furthermore, functional near-infrared spectroscopy was employed to monitor the level of oxygenated hemoglobin in the prefrontal cortex. The experimental group performed better in the behavioral task than the control group, as evidenced by a shorter response time and a higher correct rate. The functional near-infrared spectroscopy results suggested that the activation of the left dorsolateral prefrontal cortex was significantly higher in the experimental group than in the control group. In addition, correlation analyses showed that the enhancement of left dorsolateral prefrontal cortex activation was significantly correlated with decreasing response time and improving response accuracy in the N-back task. These findings suggest that the left dorsolateral prefrontal cortex is likely the neural substrate for improved working memory performance elicited by 12-wk open skill exercise.
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Affiliation(s)
- Xiaoke Zhong
- School of Kinesiology and Health, Capital University of Physical Education and Sports, No. 11, North 3rd Ring West Road, Haidian District, 100191, Beijing, China
- School of Physical Education and Sport Science, Fujian Normal University, No. 18, Wulongjiang Middle Avenue, Shangjie Town, Minhou County, Fuzhou, 350108 Fujian, China
| | - Yuanfu Dai
- School of Kinesiology and Health, Capital University of Physical Education and Sports, No. 11, North 3rd Ring West Road, Haidian District, 100191, Beijing, China
| | - Mingchao Xu
- School of Kinesiology and Health, Capital University of Physical Education and Sports, No. 11, North 3rd Ring West Road, Haidian District, 100191, Beijing, China
| | - Changhao Jiang
- The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, No. 11, North 3rd Ring West Road, Haidian District, 100191, Beijing, China
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22
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Wang Y, Becker B, Wang J, Wang Y, Zhang L, Mei Y, Li H, Lei Y. Exaggerated sensitivity to threat and reduced medial prefrontal engagement during threat generalization in reactive aggressive adolescents. Neuroimage 2024; 294:120645. [PMID: 38734156 DOI: 10.1016/j.neuroimage.2024.120645] [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: 04/09/2024] [Revised: 05/07/2024] [Accepted: 05/09/2024] [Indexed: 05/13/2024] Open
Abstract
Aggressive adolescents tend to exhibit abnormal fear acquisition and extinction, and reactive aggressive adolescents are often more anxious. However, the relationship between fear generalization and reactive aggression (RA) remains unknown. According to Reactive-Proactive Aggression Questionnaire (RPQ) scores, 61 adolescents were divided into two groups, namely, a high RA group (N = 30) and a low aggression (LA) group (N = 31). All participants underwent three consecutive phases of the Pavlovian conditioning paradigm (i.e., habituation, acquisition, and generalization), and neural activation of the medial prefrontal cortex (mPFC) was assessed by functional near-infrared spectroscopy (fNIRS). The stimuli were ten circles with varying sizes, including two conditioned stimuli (CSs) and eight generalization stimuli (GSs). A scream at 85 dB served as the auditory unconditioned stimulus (US). The US expectancy ratings of both CSs and GSs were higher in the RA group than in the LA group. The fNIRS results showed that CSs and GSs evoked lower mPFC activation in the RA group compared to the LA group during fear generalization. These findings suggest that abnormalities in fear acquisition and generalization are prototypical dysregulations in adolescents with RA. They provide neurocognitive evidence for dysregulated fear learning in the mechanisms underlying adolescents with RA, highlighting the need to develop emotional regulation interventions for these individuals.
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Affiliation(s)
- Yizhen Wang
- School of Psychology, South China Normal University, Guangzhou, Guangdong, China; Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, Sichuan, China
| | - Benjamin Becker
- State Key Laboratory of Brain and Cognitive Sciences, Department of Psychology, The University of Hong Kong, Hong Kong, China
| | - Jinxia Wang
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, Sichuan, China; Faculty of Education and Psychology, University of Jyväskylä, Jyväskylä, Finland
| | - Yuanyuan Wang
- School of Psychology, South China Normal University, Guangzhou, Guangdong, China
| | - Liangyou Zhang
- Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, Netherlands
| | - Ying Mei
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, Sichuan, China; Faculty of Education and Psychology, University of Jyväskylä, Jyväskylä, Finland
| | - Hong Li
- School of Psychology, South China Normal University, Guangzhou, Guangdong, China; Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, Sichuan, China
| | - Yi Lei
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, Sichuan, China.
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23
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Tong Y, Wang Q, Wang X, Xiang Y, Cheng L, Hu X, Chen Y, Huo L, Xu Y, Liu S. A scoping review of functional near-infrared spectroscopy biomarkers in late-life depression: Depressive symptoms, cognitive functioning, and social functioning. Psychiatry Res Neuroimaging 2024; 341:111810. [PMID: 38555800 DOI: 10.1016/j.pscychresns.2024.111810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 02/21/2024] [Accepted: 03/13/2024] [Indexed: 04/02/2024]
Abstract
Late-life depression is one of the most damaging mental illnesses, disrupting the normal lives of older people by causing chronic illness and cognitive impairment. Patients with late-life depression, accompanied by changes in appetite, insomnia, fatigue and guilt, are more likely to experience irritability, anxiety and somatic symptoms. It increases the risk of suicide and dementia and is a major challenge for the public health systems. The current clinical assessment, identification and effectiveness assessment of late-life depression are primarily based on history taking, mental status examination and scale scoring, which lack subjectivity and precision. Functional near-infrared spectroscopy is a rapidly developing optical imaging technology that objectively reflects the oxygenation of hemoglobin in different cerebral regions during different tasks and assesses the functional status of the cerebral cortex. This article presents a comprehensive review of the assessment of functional near-infrared spectroscopy technology in assessing depressive symptoms, social functioning, and cognitive functioning in patients with late-life depression. The use of functional near-infrared spectroscopy provides greater insight into the neurobiological mechanisms underlying depression and helps to assess these three aspects of functionality in depressed patients. In addition, the study discusses the limitations of previous research and explores potential advances in the field.
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Affiliation(s)
- Yujie Tong
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Qiwei Wang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Xiao Wang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yuxian Xiang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Long Cheng
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Xiaodong Hu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Yun Chen
- Department of Geriatrics, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Luyao Huo
- Department of Psychiatry, Children's Hospital of Shanxi, Women Health Center of Shanxi, Taiyuan, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.
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24
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Da H, Xiang N, Qiu M, Abbas S, Xiao Q, Zhang Y. Characteristics of oxyhemoglobin during the verbal fluency task in subthreshold depression: A multi-channel near-infrared spectroscopy study. J Affect Disord 2024; 356:88-96. [PMID: 38588729 DOI: 10.1016/j.jad.2024.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 03/29/2024] [Accepted: 04/01/2024] [Indexed: 04/10/2024]
Abstract
OBJECTIVE Subthreshold depression is an essential precursor and risk factor for major depressive disorder, and its accurate identification and timely intervention are important for reducing the prevalence of major depressive disorder. Therefore, we used functional near-infrared spectroscopic imaging (fNIRS) to explore the characteristics of the brain neural activity of college students with subthreshold depression in the verbal fluency task. METHODS A total of 72 subthreshold depressed college students (SDs) and 67 healthy college students (HCs) were recruited, and all subjects were subjected to a verbal fluency task (VFT) while a 53-channel fNIRS device was used to collect the subjects' cerebral blood oxygenation signals. RESULTS The results of the independent samples t-test showed that the mean oxyhemoglobin in the right dorsolateral prefrontal (ch34, ch42, ch45) and Broca's area (ch51, ch53) of SDs was lower than that of HCs. The peak oxygenated hemoglobin of SDs was lower in the right dorsolateral prefrontal (ch34) and Broca's area (ch51, ch53).The brain functional connectivity strength was lower than that of HCs. Correlation analysis showed that the left DLPFC and Broca's area were significantly negatively correlated with the depression level. CONCLUSION SDs showed abnormally low, inadequate levels of brain activation and weak frontotemporal brain functional connectivity. The right DLPFC has a higher sensitivity for the differentiation of depressive symptoms and is suitable as a biomarker for the presence of depressive symptoms. Dysfunction in Broca's area can be used both as a marker of depressive symptoms and as a biomarker, indicating the severity of depressive symptoms.
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Affiliation(s)
- Hui Da
- School of Education, Huazhong University of Science and Technology, Wuhan, China.
| | - Nian Xiang
- Hospital of Huazhong University of Science and Technology, Wuhan, China.
| | - Min Qiu
- Hospital of Huazhong University of Science and Technology, Wuhan, China.
| | - Sadia Abbas
- School of Education, Huazhong University of Science and Technology, Wuhan, China.
| | - Qiang Xiao
- Hospital of Huazhong University of Science and Technology, Wuhan, China.
| | - Yan Zhang
- School of Education, Huazhong University of Science and Technology, Wuhan, China; Research Center for Innovative Education and Critical Thinking, Huazhong University of Science and Technology, Wuhan, China.
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25
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Liu J, Liu Y, Wu L. Exploring the dynamics of prefrontal cortex in the interaction between orienteering experience and cognitive performance by fNIRS. Sci Rep 2024; 14:14918. [PMID: 38942820 PMCID: PMC11213913 DOI: 10.1038/s41598-024-65747-1] [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: 03/11/2024] [Accepted: 06/24/2024] [Indexed: 06/30/2024] Open
Abstract
Sporting experience plays a pivotal role in shaping exercise habits, with a mutually reinforcing relationship that enhances cognitive performance. The acknowledged plasticity of cognition driven by sports necessitates a comprehensive examination. Hence, this study delves into the dynamic intricacies of the prefrontal cortex, exploring the impact of orienteering experience on cognitive performance. Our findings contribute empirical evidence regarding the functional activation of specific brain regions bridging the nexus between experiential factors and cognitive capabilities. In this cross-sectional study, a cohort of forty-nine athletes was enrolled to meticulously examine behavioral variances and prefrontal cortex dynamics among orienteering athletes of varying experience levels across diverse non-specialized scenarios. These investigations involved the utilization of functional near-infrared spectroscopy (fNIRS) to detect alterations in oxygenated hemoglobin (HbO2). The high-experience expert group exhibited neurological efficiency, demonstrating significantly diminished brain activation in the dorsolateral prefrontal, left ventral lateral prefrontal, and right orbitofrontal regions compared to the low-experience group. Within the low-experience novice group, superior performance in the spatial memory task was observed compared to the mental rotation task, with consistently lower reaction times across all conditions compared to the high-experience group. Notably, cerebral blood oxygenation activation exhibited a significant reduction in the high-experience expert group compared to the low-experience novice group, irrespective of task type. The dorsolateral prefrontal lobe exhibited activation upon task onset, irrespective of experience level. Correct rates in the spatial memory task were consistently higher than those in the mental rotation task, while brain region activation was significantly greater during the mental rotation task than the spatial memory task." This study elucidates disparities in prefrontal cortex dynamics between highly seasoned experts and neophyte novices, showcasing a cognitive edge within the highly experienced cohort and a spatial memory advantage in the inexperienced group. Our findings contribute to the comprehension of the neural mechanisms that underlie the observed cognitive advantage and provide insights into the forebrain resources mobilized by orienteering experience during spatial cognitive tasks."
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Affiliation(s)
- Jingru Liu
- Department of Physical Education, Xi'an University of Posts and Telecommunications, Xi'an, 710199, Shaanxi, China
| | - Yang Liu
- School of Physical Education, Shaanxi Normal University, Xi'an, 710121, Shaanxi, China.
| | - Linzhen Wu
- Department of Physical Education, Xi'an University of Posts and Telecommunications, Xi'an, 710199, Shaanxi, China
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26
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Hernandez-Sarabia JA, Schmid AA, Sharp JL, Stephens JA. Intervention-Induced Changes in Balance and Task-Dependent Neural Activity in Adults with Acquired Brain Injury: A Pilot Randomized Control Trial. SENSORS (BASEL, SWITZERLAND) 2024; 24:4047. [PMID: 39000826 PMCID: PMC11244558 DOI: 10.3390/s24134047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 05/30/2024] [Accepted: 06/19/2024] [Indexed: 07/16/2024]
Abstract
Advances in neuroimaging technology, like functional near-infrared spectroscopy (fNIRS), support the evaluation of task-dependent brain activity during functional tasks, like balance, in healthy and clinical populations. To date, there have been no studies examining how interventions, like yoga, impact task-dependent brain activity in adults with chronic acquired brain injury (ABI). This pilot study compared eight weeks of group yoga (active) to group exercise (control) on balance and task-dependent neural activity outcomes. Twenty-three participants were randomized to yoga (n = 13) or exercise groups (n = 10). Neuroimaging and balance performance data were collected simultaneously using a force plate and mobile fNIRS device before and after interventions. Linear mixed-effects models were used to evaluate the effect of time, time x group interactions, and simple (i.e., within-group) effects. Regardless of group, all participants had significant balance improvements after the interventions. Additionally, regardless of group, there were significant changes in task-dependent neural activity, as well as distinct changes in neural activity within each group. In summary, using advances in sensor technology, we were able to demonstrate preliminary evidence of intervention-induced changes in balance and neural activity in adults with ABI. These preliminary results may provide an important foundation for future neurorehabilitation studies that leverage neuroimaging methods, like fNIRS.
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Affiliation(s)
| | - Arlene A. Schmid
- Department of Occupational Therapy, Colorado State University, Fort Collins, CO 80523, USA;
- Columbine Health Systems Center for Healthy Aging, Colorado State University, Fort Collins, CO 80523, USA
| | | | - Jaclyn A. Stephens
- Department of Health and Exercise Science, Colorado State University, Fort Collins, CO 80523, USA
- Molecular Cellular, and Integrative Neuroscience Program, Colorado State University, Fort Collins, CO 80523, USA
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27
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Curzel F, Tillmann B, Ferreri L. Lights on music cognition: A systematic and critical review of fNIRS applications and future perspectives. Brain Cogn 2024; 180:106200. [PMID: 38908228 DOI: 10.1016/j.bandc.2024.106200] [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: 04/06/2024] [Revised: 06/10/2024] [Accepted: 06/16/2024] [Indexed: 06/24/2024]
Abstract
Research investigating the neural processes related to music perception and production constitutes a well-established field within the cognitive neurosciences. While most neuroimaging tools have limitations in studying the complexity of musical experiences, functional Near-Infrared Spectroscopy (fNIRS) represents a promising, relatively new tool for studying music processes in both laboratory and ecological settings, which is also suitable for both typical and pathological populations across development. Here we systematically review fNIRS studies on music cognition, highlighting prospects and potentialities. We also include an overview of fNIRS basic theory, together with a brief comparison to characteristics of other neuroimaging tools. Fifty-nine studies meeting inclusion criteria (i.e., using fNIRS with music as the primary stimulus) are presented across five thematic sections. Critical discussion of methodology leads us to propose guidelines of good practices aiming for robust signal analyses and reproducibility. A continuously updated world map is proposed, including basic information from studies meeting the inclusion criteria. It provides an organized, accessible, and updatable reference database, which could serve as a catalyst for future collaborations within the community. In conclusion, fNIRS shows potential for investigating cognitive processes in music, particularly in ecological contexts and with special populations, aligning with current research priorities in music cognition.
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Affiliation(s)
- Federico Curzel
- Laboratoire d'Étude des Mécanismes Cognitifs (EMC), Université Lumière Lyon 2, Bron, Auvergne-Rhône-Alpes, 69500, France; Lyon Neuroscience Research Center (CRNL), INSERM, U1028, CNRS, UMR 5292, Université Claude Bernard Lyon1, Université de Lyon, Bron, Auvergne-Rhône-Alpes, 69500, France.
| | - Barbara Tillmann
- Lyon Neuroscience Research Center (CRNL), INSERM, U1028, CNRS, UMR 5292, Université Claude Bernard Lyon1, Université de Lyon, Bron, Auvergne-Rhône-Alpes, 69500, France; LEAD CNRS UMR5022, Université de Bourgogne-Franche Comté, Dijon, Bourgogne-Franche Comté 21000, France.
| | - Laura Ferreri
- Laboratoire d'Étude des Mécanismes Cognitifs (EMC), Université Lumière Lyon 2, Bron, Auvergne-Rhône-Alpes, 69500, France; Department of Brain and Behavioural Sciences, Università di Pavia, Pavia, Lombardia 27100, Italy.
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28
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Zhou T, Ye Y, Zhu Q, Vann W, Du J. Neural dynamics of delayed feedback in robot teleoperation: insights from fNIRS analysis. Front Hum Neurosci 2024; 18:1338453. [PMID: 38952645 PMCID: PMC11215083 DOI: 10.3389/fnhum.2024.1338453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 05/31/2024] [Indexed: 07/03/2024] Open
Abstract
Introduction As robot teleoperation increasingly becomes integral in executing tasks in distant, hazardous, or inaccessible environments, operational delays remain a significant obstacle. These delays, inherent in signal transmission and processing, adversely affect operator performance, particularly in tasks requiring precision and timeliness. While current research has made strides in mitigating these delays through advanced control strategies and training methods, a crucial gap persists in understanding the neurofunctional impacts of these delays and the efficacy of countermeasures from a cognitive perspective. Methods This study addresses the gap by leveraging functional Near-Infrared Spectroscopy (fNIRS) to examine the neurofunctional implications of simulated haptic feedback on cognitive activity and motor coordination under delayed conditions. In a human-subject experiment (N = 41), sensory feedback was manipulated to observe its influences on various brain regions of interest (ROIs) during teleoperation tasks. The fNIRS data provided a detailed assessment of cerebral activity, particularly in ROIs implicated in time perception and the execution of precise movements. Results Our results reveal that the anchoring condition, which provided immediate simulated haptic feedback with a delayed visual cue, significantly optimized neural functions related to time perception and motor coordination. This condition also improved motor performance compared to the asynchronous condition, where visual and haptic feedback were misaligned. Discussion These findings provide empirical evidence about the neurofunctional basis of the enhanced motor performance with simulated synthetic force feedback in the presence of teleoperation delays. The study highlights the potential for immediate haptic feedback to mitigate the adverse effects of operational delays, thereby improving the efficacy of teleoperation in critical applications.
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Affiliation(s)
- Tianyu Zhou
- The Informatics, Cobots and Intelligent Construction (ICIC) Lab, Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL, United States
| | - Yang Ye
- The Informatics, Cobots and Intelligent Construction (ICIC) Lab, Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL, United States
| | - Qi Zhu
- Communications Technology Laboratory, Public Safety Communications Research Division, Advanced Communications Research Group, National Institute of Standards and Technology, Boulder, CO, United States
| | - William Vann
- The Informatics, Cobots and Intelligent Construction (ICIC) Lab, Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL, United States
| | - Jing Du
- The Informatics, Cobots and Intelligent Construction (ICIC) Lab, Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL, United States
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29
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Zhao YN, Han PP, Zhang XY, Bi X. Applications of Functional Near-Infrared Spectroscopy (fNIRS) Neuroimaging During Rehabilitation Following Stroke: A Review. Med Sci Monit 2024; 30:e943785. [PMID: 38879751 PMCID: PMC11188690 DOI: 10.12659/msm.943785] [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: 01/12/2024] [Accepted: 04/17/2024] [Indexed: 06/22/2024] Open
Abstract
Stroke is a cerebrovascular disease that impairs blood supply to localized brain tissue regions due to various causes. This leads to ischemic and hypoxic lesions, necrosis of the brain tissue, and a variety of functional disorders. Abnormal cortical activation and functional connectivity occur in the brain after a stroke, but the activation patterns and functional reorganization are not well understood. Rehabilitation interventions can enhance functional recovery in stroke patients. However, clinicians require objective measures to support their practice, as outcome measures for functional recovery are based on scale scores. Furthermore, the most effective rehabilitation measures for treating patients are yet to be investigated. Functional near-infrared spectroscopy (fNIRS) is a non-invasive neuroimaging method that detects changes in cerebral hemodynamics during task performance. It is widely used in neurological research and clinical practice due to its safety, portability, high motion tolerance, and low cost. This paper briefly introduces the imaging principle and the advantages and disadvantages of fNIRS to summarize the application of fNIRS in post-stroke rehabilitation.
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Affiliation(s)
- Yi-Ning Zhao
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, PR China
- Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, PR China
| | - Ping-Ping Han
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, PR China
- Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, PR China
| | - Xing-Yu Zhang
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, PR China
- Graduate School of Shanghai University of Traditional Chinese Medicine, Shanghai, PR China
| | - Xia Bi
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, PR China
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30
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Kang KYL, Rosenkranz R, Altinsoy ME, Li SC. Cortical processes of multisensory plausibility modulation of vibrotactile perception in virtual environments in middled-aged and older adults. Sci Rep 2024; 14:13366. [PMID: 38862559 PMCID: PMC11166973 DOI: 10.1038/s41598-024-64054-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 06/04/2024] [Indexed: 06/13/2024] Open
Abstract
Digital technologies, such as virtual or augmented reality, can potentially support neurocognitive functions of the aging populations worldwide and complement existing intervention methods. However, aging-related declines in the frontal-parietal network and dopaminergic modulation which progress gradually across the later periods of the adult lifespan may affect the processing of multisensory congruence and expectancy based contextual plausibility. We assessed hemodynamic brain responses while middle-aged and old adults experienced car-riding virtual-reality scenarios where the plausibility of vibrotactile stimulations was manipulated by delivering stimulus intensities that were either congruent or incongruent with the digitalized audio-visual contexts of the respective scenarios. Relative to previous findings observed in young adults, although highly plausible vibrotactile stimulations confirming with contextual expectations also elicited higher brain hemodynamic responses in middle-aged and old adults, this effect was limited to virtual scenarios with extreme expectancy violations. Moreover, individual differences in plausibility-related frontal activity did not correlate with plausibility violation costs in the sensorimotor cortex, indicating less systematic frontal context-based sensory filtering in older ages. These findings have practical implications for advancing digital technologies to support aging societies.
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Affiliation(s)
- Kathleen Y L Kang
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Dresden, Germany.
- Faculty of Psychology, Technische Universität Dresden, Zellerscher Weg 17 Room A232/233, 01069, Dresden, Germany.
- School of Psychology and Vision Sciences, University of Leicester, Leicester, UK.
| | - Robert Rosenkranz
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Dresden, Germany
- Faculty of Electrical and Computer Engineering, Technische Universität Dresden, Dresden, Germany
| | - Mehmet Ercan Altinsoy
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Dresden, Germany
- Faculty of Electrical and Computer Engineering, Technische Universität Dresden, Dresden, Germany
| | - Shu-Chen Li
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Dresden, Germany.
- Faculty of Psychology, Technische Universität Dresden, Zellerscher Weg 17 Room A232/233, 01069, Dresden, Germany.
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31
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Stefanski M, Arora Y, Cheung M, Dutta A. Modal Analysis of Cerebrovascular Effects for Digital Health Integration of Neurostimulation Therapies-A Review of Technology Concepts. Brain Sci 2024; 14:591. [PMID: 38928591 PMCID: PMC11201600 DOI: 10.3390/brainsci14060591] [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: 05/12/2024] [Revised: 05/31/2024] [Accepted: 06/04/2024] [Indexed: 06/28/2024] Open
Abstract
Transcranial electrical stimulation (tES) is increasingly recognized for its potential to modulate cerebral blood flow (CBF) and evoke cerebrovascular reactivity (CVR), which are crucial in conditions like mild cognitive impairment (MCI) and dementia. This study explores the impact of tES on the neurovascular unit (NVU), employing a physiological modeling approach to simulate the vascular response to electric fields generated by tES. Utilizing the FitzHugh-Nagumo model for neuroelectrical activity, we demonstrate how tES can initiate vascular responses such as vasoconstriction followed by delayed vasodilation in cerebral arterioles, potentially modulated by a combination of local metabolic demands and autonomic regulation (pivotal locus coeruleus). Here, four distinct pathways within the NVU were modeled to reflect the complex interplay between synaptic activity, astrocytic influences, perivascular potassium dynamics, and smooth muscle cell responses. Modal analysis revealed characteristic dynamics of these pathways, suggesting that oscillatory tES may finely tune the vascular tone by modulating the stiffness and elasticity of blood vessel walls, possibly by also impacting endothelial glycocalyx function. The findings underscore the therapeutic potential vis-à-vis blood-brain barrier safety of tES in modulating neurovascular coupling and cognitive function needing the precise modulation of NVU dynamics. This technology review supports the human-in-the-loop integration of tES leveraging digital health technologies for the personalized management of cerebral blood flow, offering new avenues for treating vascular cognitive disorders. Future studies should aim to optimize tES parameters using computational modeling and validate these models in clinical settings, enhancing the understanding of tES in neurovascular health.
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Affiliation(s)
- Marcel Stefanski
- School of Engineering, University of Lincoln, Lincoln LN6 7TS, UK
| | - Yashika Arora
- Department of Biomedical Engineering, University at Buffalo, Buffalo, NY 14228, USA
| | - Mancheung Cheung
- Department of Biomedical Engineering, University at Buffalo, Buffalo, NY 14228, USA
| | - Anirban Dutta
- School of Engineering, University of Lincoln, Lincoln LN6 7TS, UK
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Klein F. Optimizing spatial specificity and signal quality in fNIRS: an overview of potential challenges and possible options for improving the reliability of real-time applications. FRONTIERS IN NEUROERGONOMICS 2024; 5:1286586. [PMID: 38903906 PMCID: PMC11188482 DOI: 10.3389/fnrgo.2024.1286586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 04/29/2024] [Indexed: 06/22/2024]
Abstract
The optical brain imaging method functional near-infrared spectroscopy (fNIRS) is a promising tool for real-time applications such as neurofeedback and brain-computer interfaces. Its combination of spatial specificity and mobility makes it particularly attractive for clinical use, both at the bedside and in patients' homes. Despite these advantages, optimizing fNIRS for real-time use requires careful attention to two key aspects: ensuring good spatial specificity and maintaining high signal quality. While fNIRS detects superficial cortical brain regions, consistently and reliably targeting specific regions of interest can be challenging, particularly in studies that require repeated measurements. Variations in cap placement coupled with limited anatomical information may further reduce this accuracy. Furthermore, it is important to maintain good signal quality in real-time contexts to ensure that they reflect the true underlying brain activity. However, fNIRS signals are susceptible to contamination by cerebral and extracerebral systemic noise as well as motion artifacts. Insufficient real-time preprocessing can therefore cause the system to run on noise instead of brain activity. The aim of this review article is to help advance the progress of fNIRS-based real-time applications. It highlights the potential challenges in improving spatial specificity and signal quality, discusses possible options to overcome these challenges, and addresses further considerations relevant to real-time applications. By addressing these topics, the article aims to help improve the planning and execution of future real-time studies, thereby increasing their reliability and repeatability.
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Affiliation(s)
- Franziska Klein
- Biomedical Devices and Systems Group, R&D Division Health, OFFIS - Institute for Information Technology, Oldenburg, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical School, RWTH Aachen University, Aachen, Germany
- Neurocognition and Functional Neurorehabilitation Group, Department of Psychology, University of Oldenburg, Oldenburg, Germany
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Baldasso BD, Raza SZ, Islam SS, Burry IB, Newell CJ, Hillier SR, Ploughman M. Disrupted hemodynamic response within dorsolateral prefrontal cortex during cognitive tasks among people with multiple sclerosis-related fatigue. PLoS One 2024; 19:e0303211. [PMID: 38837991 DOI: 10.1371/journal.pone.0303211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 04/21/2024] [Indexed: 06/07/2024] Open
Abstract
INTRODUCTION Mental fatigue is an early and enduring symptom in persons with autoimmune disease particularly multiple sclerosis (MS). Neuromodulation has emerged as a potential treatment although optimal cortical targets have yet to be determined. We aimed to examine cortical hemodynamic responses within bilateral dorsolateral prefrontal cortex (dlPFC) and frontopolar areas during single and dual cognitive tasks in persons with MS-related fatigue compared to matched controls. METHODS We recruited persons (15 MS and 12 age- and sex-matched controls) who did not have physical or cognitive impairment and were free from depressive symptoms. Functional near infrared spectroscopy (fNIRS) registered hemodynamic responses during the tasks. We calculated oxyhemoglobin peak, time-to-peak, coherence between channels (a potential marker of neurovascular coupling) and functional connectivity (z-score). RESULTS In MS, dlPFC demonstrated disrupted hemodynamic coherence during both single and dual tasks, as evidenced by non-significant and negative correlations between fNIRS channels. In MS, reduced coherence occurred in left dorsolateral PFC during the single task but occurred bilaterally as the task became more challenging. Functional connectivity was lower during dual compared to single tasks in the right dorsolateral PFC in both groups. Lower z-score was related to greater feelings of fatigue. Peak and time-to-peak hemodynamic response did not differ between groups or tasks. CONCLUSIONS Hemodynamic responses were inconsistent and disrupted in people with MS experiencing mental fatigue, which worsened as the task became more challenging. Our findings point to dlPFC, but not frontopolar areas, as a potential target for neuromodulation to treat cognitive fatigue.
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Affiliation(s)
- Bruna D Baldasso
- Recovery & Performance Laboratory, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Syed Z Raza
- Recovery & Performance Laboratory, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Sadman S Islam
- Recovery & Performance Laboratory, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
- Computer Science, Faculty of Science, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Isabella B Burry
- Recovery & Performance Laboratory, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Caitlin J Newell
- Recovery & Performance Laboratory, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Sydney R Hillier
- Recovery & Performance Laboratory, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Michelle Ploughman
- Recovery & Performance Laboratory, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
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Xu J, Zhang W, Yu J, Li G, Cui J, Qi H, Zhang M, Li M, Hu Y, Wang H, Min H, Xu F, Xu X, Zhu C, Xiao Y, Zhang Y. Functional near-infrared spectroscopy-based neurofeedback training regulates time-on-task effects and enhances sustained cognitive performance. Cereb Cortex 2024; 34:bhae259. [PMID: 38904080 DOI: 10.1093/cercor/bhae259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 05/28/2024] [Accepted: 06/04/2024] [Indexed: 06/22/2024] Open
Abstract
Time-on-task effect is a common consequence of long-term cognitive demand work, which reflects reduced behavioral performance and increases the risk of accidents. Neurofeedback is a neuromodulation method that can guide individuals to regulate their brain activity and manifest as changes in related symptoms and cognitive behaviors. This study aimed to examine the effects of functional near-infrared spectroscopy-based neurofeedback training on time-on-task effects and sustained cognitive performance. A randomized, single-blind, sham-controlled study was performed: 17 participants received feedback signals of their own dorsolateral prefrontal cortex activity (neurofeedback group), and 16 participants received feedback signals of dorsolateral prefrontal cortex activity from the neurofeedback group (sham-neurofeedback group). All participants received 5 neurofeedback training sessions and completed 2 sustained cognitive tasks, including a 2-back task and a psychomotor vigilance task, to evaluate behavioral performance changes following neurofeedback training. Results showed that neurofeedback relative to the sham-neurofeedback group exhibited increased dorsolateral prefrontal cortex activation, increased accuracy in the 2-back task, and decreased mean response time in the psychomotor vigilance task after neurofeedback training. In addition, the neurofeedback group showed slower decline performance during the sustained 2-back task after neurofeedback training compared with sham-neurofeedback group. These findings demonstrate that neurofeedback training could regulate time-on-task effects on difficult task and enhance performance on sustained cognitive tasks by increasing dorsolateral prefrontal cortex activity.
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Affiliation(s)
- Jiayu Xu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
| | - Juan Yu
- Department of Gastroenterology, Xijing Hospital, Air Force Medical University, Changle West Road, Xincheng District, Xi'an, Shaanxi 710032, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
| | - Jianqi Cui
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
| | - Haowen Qi
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
| | - Minmin Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
| | - Mengshan Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
| | - Haoyi Wang
- College of Westa, Southwest University, Tiansheng Road, Beipei District, Chongqing 400715, China
| | - Huaqiao Min
- Beijing Institute of Remote Sensing Information, Anwaiwaiguan Road, Chaoyang District, Beijing 100192, China
| | - Fenggang Xu
- National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Lvyuan West Road, Haidian District, Beijing 100094, China
| | - Xiaodan Xu
- National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Lvyuan West Road, Haidian District, Beijing 100094, China
| | - Chaozhe Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Xinjiekouwai Street, Haidian District, Beijing 100091, China
| | - Yi Xiao
- National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Lvyuan West Road, Haidian District, Beijing 100094, China
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xifeng Road, Chang'an District, Xi'an, Shaanxi 710126, China
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Dani C, Miselli F, Zini T, Scarponi D, Luzzati M, Sarcina D, Fusco M, Dianori F, Berardi A. Measurement of lung oxygenation by near-infrared spectroscopy in preterm infants with bronchopulmonary dysplasia. Pediatr Pulmonol 2024; 59:1631-1637. [PMID: 38441387 DOI: 10.1002/ppul.26955] [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: 10/26/2023] [Revised: 01/16/2024] [Accepted: 02/27/2024] [Indexed: 05/28/2024]
Abstract
INTRODUCTION It has recently been reported that it is possible to monitor lung oxygenation (rSO2L) by near-infrared spectroscopy (NIRS) in preterm infants with respiratory distress syndrome (RDS). Thus, our aim was to assess the possibility of monitoring rSO2L in infants with evolving and established bronchopulmonary dysplasia (BPD) and to evaluate if rSO2L correlates with BPD severity and other oxygenation indices. METHODS We studied 40 preterm infants with gestational age ≤30 weeks at risk for BPD. Patients were continuously studied for 2 h by NIRS at 28 ± 7 days of life and 36 weeks ± 7 days of postmenstrual age. RESULTS rSO2L was similar at the first and second NIRS recordings (71.8 ± 7.2 vs. 71.4 ± 4.2%) in the overall population, but it was higher in infants with mild than in those with moderate-to-severe BPD at both the first (73.3 ± 3.1 vs. 71.2 ± 3.2%, p = .042) and second (72.3 ± 2.8 vs. 70.5 ± 2.8, p = .049) NIRS recording. A rSO2L cutoff value of 71.6% in the first recording was associated with a risk for moderate-to-severe BPD with a sensitivity of 66% and a specificity of 60%. Linear regression analysis demonstrated a significant positive relationship between rSO2L and SpO2/FiO2 ratio (p = .013) and a/APO2 (p = .004). CONCLUSIONS Monitoring of rSO2L by NIRS in preterm infants with evolving and established BPD is feasible and safe. rSO2L was found to be higher in infants with mild BPD, and predicts the risk for developing moderate-to-severe BPD and correlates with other indices of oxygenation.
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Affiliation(s)
- Carlo Dani
- Division of Neonatology, Careggi University Hospital of Florence, Florence, Italy
- Department of Neurosciences, Psychology, Drug Research and Child Health, Careggi University Hospital of Florence, Florence, Italy
| | - Francesca Miselli
- Neonatal Intensive Care Unit, Department of Medical and Surgical Sciences of Mothers, Children and Adults, University Hospital of Modena, Modena, Italy
| | - Tommaso Zini
- Neonatal Intensive Care Unit, Department of Medical and Surgical Sciences of Mothers, Children and Adults, University Hospital of Modena, Modena, Italy
| | - Davide Scarponi
- Neonatal Intensive Care Unit, Department of Medical and Surgical Sciences of Mothers, Children and Adults, University Hospital of Modena, Modena, Italy
| | - Michele Luzzati
- Division of Neonatology, Careggi University Hospital of Florence, Florence, Italy
| | - Davide Sarcina
- Division of Neonatology, Careggi University Hospital of Florence, Florence, Italy
| | - Monica Fusco
- Division of Neonatology, Careggi University Hospital of Florence, Florence, Italy
| | - Francesco Dianori
- Division of Neonatology, Careggi University Hospital of Florence, Florence, Italy
| | - Alberto Berardi
- Neonatal Intensive Care Unit, Department of Medical and Surgical Sciences of Mothers, Children and Adults, University Hospital of Modena, Modena, Italy
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Ou ZT, Ding Q, Yao ST, Zhang L, Li YW, Lan Y, Xu GQ. Functional near-infrared spectroscopy evidence of cognitive-motor interference in different dual tasks. Eur J Neurosci 2024; 59:3045-3060. [PMID: 38576168 DOI: 10.1111/ejn.16333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 02/20/2024] [Accepted: 03/11/2024] [Indexed: 04/06/2024]
Abstract
Dual tasks (DTs) combining walking with a cognitive task can cause various levels of cognitive-motor interference, depending on which brain resources are recruited in each case. However, the brain activation and functional connectivity underlying cognitive-motor interferences remain to be elucidated. Therefore, this study investigated the neural correlation during different DT conditions in 40 healthy young adults (mean age: 27.53 years, 28 women). The DTs included walking during subtraction or N-Back tasks. Cognitive-motor interference was calculated, and brain activation and functional connectivity were analysed. Portable functional near-infrared spectroscopy was utilized to monitor haemodynamics in the prefrontal cortex (PFC), motor cortex and parietal cortex during each task. Walking interference (decrease in walking speed during DT) was greater than cognitive interference (decrease in cognitive performance during DT), regardless of the type of task. Brain activation in the bilateral PFC and parietal cortex was greater for walking during subtraction than for standing subtraction. Furthermore, brain activation was higher in the bilateral motor and parietal and PFCs for walking during subtraction than for walking alone, but only increased in the PFC for walking during N-Back. Coherence between the bilateral lateral PFC and between the left lateral PFC and left motor cortex was significantly greater for walking during 2-Back than for walking. The PFC, a critical brain region for organizing cognitive and motor functions, played a crucial role in integrating information coming from multiple brain networks required for completing DTs. Therefore, the PFC could be a potential target for the modulation and improvement of cognitive-motor functions during neurorehabilitation.
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Affiliation(s)
- Zi-Tong Ou
- Department of Rehabilitation Medicine, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Department of Rehabilitation Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qian Ding
- Department of Rehabilitation Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Shan-Tong Yao
- Department of Rehabilitation Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Lei Zhang
- Department of Rehabilitation Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ya-Wen Li
- Department of Rehabilitation Medicine, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Department of Rehabilitation Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yue Lan
- Department of Rehabilitation Medicine, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Guang-Qing Xu
- Department of Rehabilitation Medicine, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Department of Rehabilitation Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
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Wang HY, You HL, Song CL, Zhou L, Wang SY, Li XL, Liang ZH, Zhang BW. Shared and distinct prefrontal cortex alterations of implicit emotion regulation in depression and anxiety: An fNIRS investigation. J Affect Disord 2024; 354:126-135. [PMID: 38479517 DOI: 10.1016/j.jad.2024.03.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 03/04/2024] [Accepted: 03/09/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND Emotion regulation deficits, particularly in cognitive reappraisal, are crucial in depression and anxiety. However, research on the neural mechanisms of implicit emotion regulation is lacking, and it remains unclear whether these mechanisms are shared or distinct between the two disorders. METHODS We investigated the neural mechanisms of implicit cognitive reappraisal in 28 individuals with major depressive disorder (MDD), 25 with generalized anxiety disorder (GAD), and 30 healthy controls (HC) using functional near-infrared spectroscopy (fNIRS). Participants completed an implicit cognitive reappraisal task and underwent neuropsychological and clinical assessments. RESULTS We found that MDD patients reported higher levels of rumination and lower utilization of cognitive reappraisal, while GAD patients reported reduced use of perspective-taking. Notably, both MDD and GAD patients exhibited decreased activation in the dorsolateral prefrontal cortex (DLPFC) and orbitofrontal cortex (OFC) compared to HC participants during implicit cognitive reappraisal. Specifically, inadequate OFC activation was observed in MDD patients, while GAD patients demonstrated OFC deactivation during the task. Furthermore, DLPFC activation showed a negative correlation with depression severity in MDD patients, while OFC activation was positively correlated with perspective-taking in GAD patients. LIMITATIONS fNIRS has limited depth and spatial resolution. CONCLUSION Our fNIRS study is the first to reveal shared and distinct neurobiological profiles of depression and anxiety in implicit emotion regulation. These findings underscore the significance of reduced DLPFC/OFC activation in emotion regulation impairment and highlight unique OFC activation patterns in these disorders. These insights have potential implications for developing cognitive-behavioral therapy and transcranial magnetic stimulation as treatment approaches.
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Affiliation(s)
- Hai-Yang Wang
- Department of Neurology and Psychiatry, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China; Department of Neurology, Jining No. 1 People's Hospital, Jining 272000, China
| | - Hui-Li You
- Department of Neurology and Psychiatry, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Chun-Li Song
- Department of Neurology and Psychiatry, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Lu Zhou
- Department of Neurology and Psychiatry, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Shi-Yao Wang
- Department of Neurology and Psychiatry, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Xue-Lin Li
- Department of Intensive Care Unit, Jining No. 1 People's Hospital, Jining 272000, China
| | - Zhan-Hua Liang
- Department of Neurology and Psychiatry, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Bing-Wei Zhang
- Department of Neurology and Psychiatry, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China; Department of Psychology, Dalian Medical University, Dalian 116044, China.
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Marriot Haresign I, A M Phillips E, V Wass S. Why behaviour matters: Studying inter-brain coordination during child-caregiver interaction. Dev Cogn Neurosci 2024; 67:101384. [PMID: 38657470 PMCID: PMC11059326 DOI: 10.1016/j.dcn.2024.101384] [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: 05/12/2023] [Revised: 03/26/2024] [Accepted: 04/15/2024] [Indexed: 04/26/2024] Open
Abstract
Modern technology allows for simultaneous neuroimaging from interacting caregiver-child dyads. Whereas most analyses that examine the coordination between brain regions within an individual brain do so by measuring changes relative to observed events, studies that examine coordination between two interacting brains generally do this by measuring average intra-brain coordination across entire blocks or experimental conditions. In other words, they do not examine changes in inter-brain coordination relative to individual behavioural events. Here, we discuss the limitations of this approach. First, we present data suggesting that fine-grained temporal interdependencies in behaviour can leave residual artifact in neuroimaging data. We show how artifact can manifest as both power and (through that) phase synchrony effects in EEG and affect wavelet transform coherence in fNIRS analyses. Second, we discuss different possible mechanistic explanations of how inter-brain coordination is established and maintained. We argue that non-event-locked approaches struggle to differentiate between them. Instead, we contend that approaches which examine how interpersonal dynamics change around behavioural events have better potential for addressing possible artifactual confounds and for teasing apart the overlapping mechanisms that drive changes in inter-brain coordination.
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Affiliation(s)
| | | | - Sam V Wass
- Department of Psychology, University of East London, London, UK
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Song F, Ding K, Sun M, Xia R. Effect of 12-week head-down strong abdominal breathing on cognitive function in patients with stable chronic obstructive pulmonary disease: a single-centre randomised controlled trial protocol. Trials 2024; 25:351. [PMID: 38816733 PMCID: PMC11140949 DOI: 10.1186/s13063-024-08193-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 05/23/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND Patients with chronic obstructive pulmonary disease (COPD) often suffer from a combination of mild cognitive impairment (MCI) and a significant reduction in their quality of life. In the exercise programme of pulmonary rehabilitation (PR), pulmonary rehabilitation intervention is often carried out by enhancing respiratory function. Strong abdominal breathing is a kind of breathing method, through which the diaphragm can be exercised, thereby enhancing the deflection distance of the diaphragm during breathing and improving respiratory function. The inversion trainer can meet the different angles of head-down training and also has the characteristics of low cost, easy to operate, and use a wide range of scenarios. According to currently available data, strong abdominal breathing in combination with head-down position has not yet been used in pulmonary rehabilitation in this type of rehabilitation programme. It is valuable to use this device to study PR of cognitive function in patients with COPD. METHODS This study was a 12-week single-centre randomised controlled trial and blinding the assessors and data processors of the test. Recruitment is planned for January 1, 2024. It is expected that 81 patients with stable COPD combined with MCI will be recruited and randomly assigned to the head-down strong abdominal breathing group (HG), the fitness qigong eight-duanjin group (BDJ), and the control group (CG) in a 1:1:1 ratio. Using fNIRS (functional near-infrared spectroscopy) to assess brain oxygen availability before and after pulmonary rehabilitation in three periods: before, during and after the intervention. Cognitive functioning is also assessed using the Overall Cognitive Assessment Scale, the Specific Cognitive Functioning Assessment Scale and the Cognitive Behavioural Ability Test. TRIAL REGISTRATION The Specialised Committee on Scientific Research and Academic Ethics of the Academic Committee of Anqing Normal University approved the project (ANU2023001). China Clinical Trial Registry approved the study (ChiCTR2300075400) with a registration date of 2023/09/04. DISCUSSION The aim of this study was to explore novel exercise rehabilitation methods to improve cognitive function in COPD patients. It results in a lower financial burden and higher participation in pulmonary rehabilitation and improves the quality of survival of patients with COPD.
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Affiliation(s)
- Feiyun Song
- Department of Sports Rehabilitation, School of Physical Education, Anqing Normal University, Anhui, China
| | - Kexin Ding
- Department of Sports Rehabilitation, School of Physical Education, Anqing Normal University, Anhui, China
| | - Mingyun Sun
- Department of Sports Rehabilitation, School of Physical Education, Anqing Normal University, Anhui, China.
| | - Rui Xia
- School of Physical Education of Chaohu University, Anhui, China.
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Zhang Y, Wu P, Xie S, Hou Y, Wu H, Shi H. The neural mechanism of communication between graduate students and advisers in different adviser-advisee relationships. Sci Rep 2024; 14:11741. [PMID: 38778035 PMCID: PMC11111769 DOI: 10.1038/s41598-024-58308-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 03/27/2024] [Indexed: 05/25/2024] Open
Abstract
Communication is crucial in constructing the relationship between students and advisers, ultimately bridging interpersonal interactions. Only a few studies however explore the communication between postgraduate students and advisers. To fill the gaps in the empirical researches, this study uses functional near-infrared spectroscopy (FNIRS) techniques to explore the neurophysiology differences in brain activation of postgraduates with different adviser-advise relationships during simulated communication with their advisers. Results showed significant differences in the activation of the prefrontal cortex between high-quality and the low-quality students during simulating and when communicating with advisers, specifically in the Broca's areas, the frontal pole, and the orbitofrontal and dorsolateral prefrontal cortices. This further elucidated the complex cognitive process of communication between graduate students and advisers.
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Affiliation(s)
- Yan Zhang
- School of Education, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China
- Research Center for Innovative Education and Critical Thinking, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China
| | - Peipei Wu
- School of Education, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China
| | - Simiao Xie
- School of Education, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China
- Mental Health Education Center, Jinan University, Guangzhou, 510631, Guangdong, China
| | - Yan Hou
- School of Education, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China
- Mental Health Education Center, Hubei University for Nationalities, Enshi, 450004, Hubei, China
| | - Huifen Wu
- School of Education, Hubei Engineering University, Xiaogan, 432100, Hubei, China.
| | - Hui Shi
- Department of Clinical Psychology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China.
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Deroche MLD, Wolfe J, Neumann S, Manning J, Hanna L, Towler W, Wilson C, Bien AG, Miller S, Schafer E, Gemignani J, Alemi R, Muthuraman M, Koirala N, Gracco VL. Cross-modal plasticity in children with cochlear implant: converging evidence from EEG and functional near-infrared spectroscopy. Brain Commun 2024; 6:fcae175. [PMID: 38846536 PMCID: PMC11154148 DOI: 10.1093/braincomms/fcae175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 04/02/2024] [Accepted: 05/17/2024] [Indexed: 06/09/2024] Open
Abstract
Over the first years of life, the brain undergoes substantial organization in response to environmental stimulation. In a silent world, it may promote vision by (i) recruiting resources from the auditory cortex and (ii) making the visual cortex more efficient. It is unclear when such changes occur and how adaptive they are, questions that children with cochlear implants can help address. Here, we examined 7-18 years old children: 50 had cochlear implants, with delayed or age-appropriate language abilities, and 25 had typical hearing and language. High-density electroencephalography and functional near-infrared spectroscopy were used to evaluate cortical responses to a low-level visual task. Evidence for a 'weaker visual cortex response' and 'less synchronized or less inhibitory activity of auditory association areas' in the implanted children with language delays suggests that cross-modal reorganization can be maladaptive and does not necessarily strengthen the dominant visual sense.
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Affiliation(s)
- Mickael L D Deroche
- Department of Psychology, Concordia University, Montreal, Quebec, Canada, H4B 1R6
| | - Jace Wolfe
- Hearts for Hearing Foundation, Oklahoma City, OK 73120, USA
| | - Sara Neumann
- Hearts for Hearing Foundation, Oklahoma City, OK 73120, USA
| | - Jacy Manning
- Hearts for Hearing Foundation, Oklahoma City, OK 73120, USA
| | - Lindsay Hanna
- Hearts for Hearing Foundation, Oklahoma City, OK 73120, USA
| | - Will Towler
- Hearts for Hearing Foundation, Oklahoma City, OK 73120, USA
| | - Caleb Wilson
- Department of Otolaryngology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Alexander G Bien
- Department of Otolaryngology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Sharon Miller
- Department of Audiology & Speech-Language Pathology, University of North Texas, Denton, TX 76201, USA
| | - Erin Schafer
- Department of Audiology & Speech-Language Pathology, University of North Texas, Denton, TX 76201, USA
| | - Jessica Gemignani
- Department of Developmental and Social Psychology, University of Padova, 35131 Padua, Italy
| | - Razieh Alemi
- Department of Psychology, Concordia University, Montreal, Quebec, Canada, H4B 1R6
| | - Muthuraman Muthuraman
- Section of Neural Engineering with Signal Analytics and Artificial Intelligence, Department of Neurology, University Hospital Würzburg, 97080 Würzburg, Germany
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Bonnaire J, Dumas G, Cassell J. Bringing together multimodal and multilevel approaches to study the emergence of social bonds between children and improve social AI. FRONTIERS IN NEUROERGONOMICS 2024; 5:1290256. [PMID: 38827377 PMCID: PMC11140154 DOI: 10.3389/fnrgo.2024.1290256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 04/29/2024] [Indexed: 06/04/2024]
Abstract
This protocol paper outlines an innovative multimodal and multilevel approach to studying the emergence and evolution of how children build social bonds with their peers, and its potential application to improving social artificial intelligence (AI). We detail a unique hyperscanning experimental framework utilizing functional near-infrared spectroscopy (fNIRS) to observe inter-brain synchrony in child dyads during collaborative tasks and social interactions. Our proposed longitudinal study spans middle childhood, aiming to capture the dynamic development of social connections and cognitive engagement in naturalistic settings. To do so we bring together four kinds of data: the multimodal conversational behaviors that dyads of children engage in, evidence of their state of interpersonal rapport, collaborative performance on educational tasks, and inter-brain synchrony. Preliminary pilot data provide foundational support for our approach, indicating promising directions for identifying neural patterns associated with productive social interactions. The planned research will explore the neural correlates of social bond formation, informing the creation of a virtual peer learning partner in the field of Social Neuroergonomics. This protocol promises significant contributions to understanding the neural basis of social connectivity in children, while also offering a blueprint for designing empathetic and effective social AI tools, particularly for educational contexts.
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Affiliation(s)
| | - Guillaume Dumas
- Research Center of the CHU Sainte-Justine, Department of Psychiatry, University of Montréal, Montreal, QC, Canada
- Mila–Quebec Artificial Intelligence Institute, Montreal, QC, Canada
| | - Justine Cassell
- Inria Paris Centre, Paris, France
- School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, United States
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Orlichenko A, Qu G, Zhou Z, Liu A, Deng HW, Ding Z, Stephen JM, Wilson TW, Calhoun VD, Wang YP. A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.16.594528. [PMID: 38798580 PMCID: PMC11118390 DOI: 10.1101/2024.05.16.594528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Objective fMRI and derived measures such as functional connectivity (FC) have been used to predict brain age, general fluid intelligence, psychiatric disease status, and preclinical neurodegenerative disease. However, it is not always clear that all demographic confounds, such as age, sex, and race, have been removed from fMRI data. Additionally, many fMRI datasets are restricted to authorized researchers, making dissemination of these valuable data sources challenging. Methods We create a variational autoencoder (VAE)-based model, DemoVAE, to decorrelate fMRI features from demographics and generate high-quality synthetic fMRI data based on user-supplied demographics. We train and validate our model using two large, widely used datasets, the Philadelphia Neurodevel-opmental Cohort (PNC) and Bipolar and Schizophrenia Network for Intermediate Phenotypes (BSNIP). Results We find that DemoVAE recapitulates group differences in fMRI data while capturing the full breadth of individual variations. Significantly, we also find that most clinical and computerized battery fields that are correlated with fMRI data are not correlated with DemoVAE latents. An exception are several fields related to schizophrenia medication and symptom severity. Conclusion Our model generates fMRI data that captures the full distribution of FC better than traditional VAE or GAN models. We also find that most prediction using fMRI data is dependent on correlation with, and prediction of, demographics. Significance Our DemoVAE model allows for generation of high quality synthetic data conditioned on subject demographics as well as the removal of the confounding effects of demographics. We identify that FC-based prediction tasks are highly influenced by demographic confounds.
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Dong Y, Mao M, Wu Y, Che C, Song Q, Sun W, Zhang C. Frontal and parietal cortices activation during walking is repeatable in older adults based on fNIRS. Heliyon 2024; 10:e30197. [PMID: 38756562 PMCID: PMC11096826 DOI: 10.1016/j.heliyon.2024.e30197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 04/19/2024] [Accepted: 04/22/2024] [Indexed: 05/18/2024] Open
Abstract
Purpose This study aimed to explore the test-retest reliability of fNIRS in measuring frontal and parietal cortices activation during straight walking and turning walking in older adults, in order to provide a theoretical foundation for selecting assessment tools for clinical research on motor control and some diseases such as Parkinson's disease in older adults. Methods 18 healthy older participants (69.1 ± 0.7 years) were included in this study. The participants completed straight walking and figure-of-eight turning walking tasks at self-selected speeds. Intra-class correlation coefficients (ICCs) and Bland-Altman scatter plots were used to assess the test-retest reliability of oxyhemoglobin (HbO2) changes derived from fNIRS. p < 0.05 was considered statistically significant. Results The test-retest reliability of HbO2 in prefrontal cortex (ICC, 0.67-0.78) was good and excellent, in frontal motor cortex (ICC, 0.51-0.61) and parietal sensory cortex (ICC, 0.53-0.62) is fair and good when the older adults performed straight and turning walking tasks. Bland-Altman diagram shows that the data consistency is fair and good. Conclusion fNIRS can be used as a clinical measurement method to evaluate the brain activation of the older adults when walking in a straight line and turning, and the results are acceptable repeatability and consistency. However, it is necessary to strictly control the testing process and consider the possible changes in the repeated measurements.
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Affiliation(s)
- Yuqi Dong
- Graduate School, Shandong Sport University, Jinan, China
| | - Min Mao
- Graduate School, Shandong Sport University, Jinan, China
- School of Nursing and Rehabilitation, Shandong University, Jinan, China
| | - Yunzhi Wu
- Graduate School, Shandong Sport University, Jinan, China
| | - Chengzhang Che
- Graduate School, Shandong Sport University, Jinan, China
| | - Qipeng Song
- Graduate School, Shandong Sport University, Jinan, China
| | - Wei Sun
- Graduate School, Shandong Sport University, Jinan, China
| | - Cui Zhang
- Graduate School, Shandong Sport University, Jinan, China
- Sports Biomechanics Lab, Shandong Institute of Sport Science, Jinan, China
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45
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Orlichenko A, Qu G, Zhou Z, Liu A, Deng HW, Ding Z, Stephen JM, Wilson TW, Calhoun VD, Wang YP. A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds. ARXIV 2024:arXiv:2405.07977v1. [PMID: 38800653 PMCID: PMC11118598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Objective fMRI and derived measures such as functional connectivity (FC) have been used to predict brain age, general fluid intelligence, psychiatric disease status, and preclinical neurodegenerative disease. However, it is not always clear that all demographic confounds, such as age, sex, and race, have been removed from fMRI data. Additionally, many fMRI datasets are restricted to authorized researchers, making dissemination of these valuable data sources challenging. Methods We create a variational autoencoder (VAE)-based model, DemoVAE, to decorrelate fMRI features from demographics and generate high-quality synthetic fMRI data based on user-supplied demographics. We train and validate our model using two large, widely used datasets, the Philadelphia Neurodevelopmental Cohort (PNC) and Bipolar and Schizophrenia Network for Intermediate Phenotypes (BSNIP). Results We find that DemoVAE recapitulates group differences in fMRI data while capturing the full breadth of individual variations. Significantly, we also find that most clinical and computerized battery fields that are correlated with fMRI data are not correlated with DemoVAE latents. An exception are several fields related to schizophrenia medication and symptom severity. Conclusion Our model generates fMRI data that captures the full distribution of FC better than traditional VAE or GAN models. We also find that most prediction using fMRI data is dependent on correlation with, and prediction of, demographics. Significance Our DemoVAE model allows for generation of high quality synthetic data conditioned on subject demographics as well as the removal of the confounding effects of demographics. We identify that FC-based prediction tasks are highly influenced by demographic confounds.
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Affiliation(s)
- Anton Orlichenko
- Department of Biomedical Engineering, Tulane University, New Orleans, LA 70118
| | - Gang Qu
- Department of Biomedical Engineering, Tulane University, New Orleans, LA 70118
| | - Ziyu Zhou
- Department of Computer Science, Tulane University, New Orleans, LA 70118
| | - Anqi Liu
- Center for Biomedical Informatics and Genomics, Tulane Integrated Institute of Data & Health Sciences, Tulane University, New Orleans, LA 70112
| | - Hong-Wen Deng
- Center for Biomedical Informatics and Genomics, Tulane Integrated Institute of Data & Health Sciences, Tulane University, New Orleans, LA 70112
| | - Zhengming Ding
- Department of Computer Science, Tulane University, New Orleans, LA 70118
| | | | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE
| | - Vince D Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA
| | - Yu-Ping Wang
- Department of Biomedical Engineering, Tulane University, New Orleans, LA 70118
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Chen J, Yu K, Zhuang S, Zhang D. Exploratory insights into prefrontal cortex activity in continuous glucose monitoring: findings from a portable wearable functional near-infrared spectroscopy system. Front Neurosci 2024; 18:1342744. [PMID: 38779512 PMCID: PMC11110533 DOI: 10.3389/fnins.2024.1342744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 04/17/2024] [Indexed: 05/25/2024] Open
Abstract
The escalating global prevalence of diabetes highlights an urgent need for advancements in continuous glucose monitoring (CGM) technologies that are non-invasive, accurate, and user-friendly. Here, we introduce a groundbreaking portable wearable functional near-infrared spectroscopy (fNIRS) system designed to monitor glucose levels by assessing prefrontal cortex (PFC) activity. Our study delineates the development and application of this novel fNIRS system, emphasizing its potential to revolutionize diabetes management by providing a non-invasive, real-time monitoring solution. Fifteen healthy university students participated in a controlled study, where we monitored their PFC activity and blood glucose levels under fasting and glucose-loaded conditions. Our findings reveal a significant correlation between PFC activity, as measured by our fNIRS system, and blood glucose levels, suggesting the feasibility of fNIRS technology for CGM. The portable nature of our system overcomes the mobility limitations of traditional setups, enabling continuous, real-time monitoring in everyday settings. We identified 10 critical features related to blood glucose levels from extensive fNIRS data and successfully correlated PFC function with blood glucose levels by constructing predictive models. Results show a positive association between fNIRS data and blood glucose levels, with the PFC exhibiting a clear response to blood glucose. Furthermore, the improved regressive rule principal component analysis (PCA) method outperforms traditional PCA in model prediction. We propose a model validation approach based on leave-one-out cross-validation, demonstrating the unique advantages of K-nearest neighbor (KNN) models. Comparative analysis with existing CGM methods reveals that our paper's KNN model exhibits lower RMSE and MARD at 0.11 and 8.96%, respectively, and the fNIRS data were highly significant positive correlation with actual blood glucose levels (r = 0.995, p < 0.000). This study provides valuable insights into the relationship between metabolic states and brain activity, laying the foundation for innovative CGM solutions. Our portable wearable fNIRS system represents a significant advancement in effective diabetes management, offering a promising alternative to current technologies and paving the way for future advancements in health monitoring and personalized medicine.
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Affiliation(s)
| | | | | | - Dawei Zhang
- Research Center of Optical Instrument and System, Ministry of Education and Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai, China
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47
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Wu H, Zhang Q, Wan L, Chen Y, Zhang Y, Wang L, Jin S. Effect of γ-tACS on prefrontal hemodynamics in bipolar disorder: A functional near-infrared study. J Psychiatr Res 2024; 175:227-234. [PMID: 38744162 DOI: 10.1016/j.jpsychires.2024.05.015] [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: 10/16/2023] [Revised: 04/21/2024] [Accepted: 05/03/2024] [Indexed: 05/16/2024]
Abstract
OBJECTIVES Transcranial alternating current stimulation (tACS) is a potential therapeutic psychiatric tool that has been shown to modulate clinical symptoms and brain function by inducing brain oscillations. However, direct evidence on the effects of gamma-tACS (γ-tACS) on Bipolar I Disorder (BD-I) is limited. In the present study we used functional near-infrared spectroscopy to explore prefrontal hemodynamic changes in BD-I patients receiving combined γ-tACS intervention in addition to pharmacological treatment. METHODS Only 39 male patients with BD-I in the acute manic phase were included, and they were randomly divided into an intervention group (n = 18) and a control group (n = 21). The intervention group received γ-tACS treatment on a weekday for a total of 10 sessions in the right prefrontal cortex and left prefrontal cortex. All participants were pretested (baseline) and posttested (2 weeks after) with questionnaires to assess clinical symptoms and cognitive abilities, and with functional near infrared spectroscopy (fNIRS) to assess spontaneous cortical hemodynamic activities. RESULTS Compared to the control group, the intervention group had greater increases in Montreal Cognitive Assessment (MoCA) scores, and greater decreases in Bech-Rafaelsen Mania Rating Scale (BRMS) scores. In the intervention group, functional connectivity (FC) was significantly greater in the left hemisphere. γ-tACS treatment resulted in a left hemispheric lateralization effect of resting state FC in BD-I patients, increasing the hemodynamic activity of the patient's left prefrontal cortex. CONCLUSIONS γ-tACS can improve cognitive impairment and mood symptoms with BD-I patients in an acute manic episode by enhancing FC in the patients' left prefrontal cortex.
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Affiliation(s)
- Huiling Wu
- Affiliated Psychological Hospital of Anhui Medical University, Anhui Mental Health Center, Hefei Fourth People's Hospital, Hefei, Anhui, 230026, China; National Clinical Research Center for Mental Disorders-Anhui Branch, Hefei, Anhui, 230026, China; Anhui Clinical Research Center for Mental Disorders, Anhui, 230026, China
| | - Qinghui Zhang
- Affiliated Psychological Hospital of Anhui Medical University, Anhui Mental Health Center, Hefei Fourth People's Hospital, Hefei, Anhui, 230026, China; National Clinical Research Center for Mental Disorders-Anhui Branch, Hefei, Anhui, 230026, China; Anhui Clinical Research Center for Mental Disorders, Anhui, 230026, China
| | - Li Wan
- Affiliated Psychological Hospital of Anhui Medical University, Anhui Mental Health Center, Hefei Fourth People's Hospital, Hefei, Anhui, 230026, China; National Clinical Research Center for Mental Disorders-Anhui Branch, Hefei, Anhui, 230026, China; Anhui Clinical Research Center for Mental Disorders, Anhui, 230026, China; Anhui Provincial Key Laboratory of Philosophy and Social Sciences for Intelligent Intervention of Adolescent Mental Health and Crisis, Anhui, 230061, China.
| | - Yaqun Chen
- Affiliated Psychological Hospital of Anhui Medical University, Anhui Mental Health Center, Hefei Fourth People's Hospital, Hefei, Anhui, 230026, China; National Clinical Research Center for Mental Disorders-Anhui Branch, Hefei, Anhui, 230026, China; Anhui Clinical Research Center for Mental Disorders, Anhui, 230026, China
| | - Yuyang Zhang
- Affiliated Psychological Hospital of Anhui Medical University, Anhui Mental Health Center, Hefei Fourth People's Hospital, Hefei, Anhui, 230026, China; National Clinical Research Center for Mental Disorders-Anhui Branch, Hefei, Anhui, 230026, China; Anhui Clinical Research Center for Mental Disorders, Anhui, 230026, China
| | - Long Wang
- Affiliated Psychological Hospital of Anhui Medical University, Anhui Mental Health Center, Hefei Fourth People's Hospital, Hefei, Anhui, 230026, China; National Clinical Research Center for Mental Disorders-Anhui Branch, Hefei, Anhui, 230026, China; Anhui Clinical Research Center for Mental Disorders, Anhui, 230026, China
| | - Shengchun Jin
- Affiliated Psychological Hospital of Anhui Medical University, Anhui Mental Health Center, Hefei Fourth People's Hospital, Hefei, Anhui, 230026, China; National Clinical Research Center for Mental Disorders-Anhui Branch, Hefei, Anhui, 230026, China; Anhui Clinical Research Center for Mental Disorders, Anhui, 230026, China
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Long K, Zhang X, Wang N, Lei H. Event-related prefrontal activations during online video game playing are modulated by game mechanics, physiological arousal and the amount of daily playing. Behav Brain Res 2024; 469:115038. [PMID: 38705282 DOI: 10.1016/j.bbr.2024.115038] [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: 11/27/2023] [Revised: 04/09/2024] [Accepted: 04/30/2024] [Indexed: 05/07/2024]
Abstract
There is a trend to study human brain functions in ecological contexts and in relation to human factors. In this study, functional near-infrared spectroscopy (fNIRS) was used to record real-time prefrontal activities in 42 male university student habitual video game players when they played a round of multiplayer online battle arena game, League of Legends. A content-based event coding approach was used to analyze regional activations in relation to event type, physiological arousal indexed by heart rate (HR) change, and individual characteristics of the player. Game events Slay and Slain were found to be associated with similar HR and prefrontal responses before the event onset, but differential responses after the event onset. Ventrolateral prefrontal cortex (VLPFC) activation preceding the Slay onset correlated positively with HR change, whereas activations in dorsolateral prefrontal cortex (DLPFC) and rostral frontal pole area (FPAr) preceding the Slain onset were predicted by self-reported hours of weekly playing (HoWP). Together, these results provide empirical evidence to support the notion that event-related regional prefrontal activations during online video game playing are shaped by game mechanics, in-game dynamics of physiological arousal and individual characteristics the players.
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Affiliation(s)
- Kehong Long
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, P. R. China; University of Chinese Academy of Sciences, Beijing, P. R. China
| | - Xuzhe Zhang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, P. R. China; University of Chinese Academy of Sciences, Beijing, P. R. China
| | - Ningxin Wang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, P. R. China; Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China
| | - Hao Lei
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, P. R. China; Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China; University of Chinese Academy of Sciences, Beijing, P. R. China.
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Li J, Li Y, Huang M, Li D, Wan T, Sun F, Zeng Q, Xu F, Wang J. The most fundamental and popular literature on functional near-infrared spectroscopy: a bibliometric analysis of the top 100 most cited articles. Front Neurol 2024; 15:1388306. [PMID: 38756218 PMCID: PMC11096499 DOI: 10.3389/fneur.2024.1388306] [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: 02/19/2024] [Accepted: 04/18/2024] [Indexed: 05/18/2024] Open
Abstract
Background Functional near infrared spectroscopy (fNIRS) has developed rapidly in recent years, and there are more and more studies on fNIRS. At present, there is no bibliometric analysis of the top 100 most cited articles on fNIRS research. Objective To identify the top 100 most cited articles on fNIRS and analyze those most fundamental and popular articles through bibliometric research methods. Methods The literature on fNIRS of web of science from 1990 to 2023 was searched and the top 100 most cited articles were identified by citations. Use the bibliometrix package in R studio and VOSviewer for data analysis and plotting to obtain the output characteristics and citation status of these 100 most cited articles, and analyze research trends in this field through keywords. Results A total of 9,424 articles were retrieved from web of science since 1990. The average citation number of the 100 articles was 457.4 (range from 260 to 1,366). Neuroimage published the most articles (n = 31). Villringer, A. from Leipzig University had the largest number of top 100 papers. Harvard University (n = 22) conducted most cited articles. The United States, Germany, Japan, and the United Kingdom had most cited articles, respectively. The most common keywords were near-infrared spectroscopy, activation, cerebral-blood-flow, brain, newborn-infants, oxygenation, cortex, fMRI, spectroscopy. The fund sources mostly came from National Institutes of Health Unitd States (NIH) and United States Department of Health Human Services (n = 28). Conclusion Neuroimage was the most popular journal. The top countries, institutions, and authors were the United States, Harvard University, and Villringer, A., respectively. Researchers and institutions from North America and Europe contributed the most. Near-infrared spectroscopy, activation, cerebral-blood-flow, brain, newborn-infants, oxygenation, cortex, fmri, spectroscopy, stimulation, blood-flow, light-propagation, infants, tissue comprise the future research directions and potential topic hotspots for fNIRS.
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Affiliation(s)
- Jiyang Li
- Rehabilitation Medicine Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Yang Li
- Rehabilitation Medicine Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Maomao Huang
- Rehabilitation Medicine Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Dan Li
- Rehabilitation Medicine Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Tenggang Wan
- Rehabilitation Medicine Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Fuhua Sun
- Rehabilitation Medicine Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Qiu Zeng
- Rehabilitation Medicine Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Fangyuan Xu
- Rehabilitation Medicine Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Jianxiong Wang
- Rehabilitation Medicine Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Rehabilitation Medicine and Engineering Key Laboratory of Luzhou, Luzhou, Sichuan, China
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50
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Borot L, Ogden R, Bennett SJ. Prefrontal cortex activity and functional organisation in dual-task ocular pursuit is affected by concurrent upper limb movement. Sci Rep 2024; 14:9996. [PMID: 38693184 PMCID: PMC11063197 DOI: 10.1038/s41598-024-57012-2] [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: 11/03/2023] [Accepted: 03/13/2024] [Indexed: 05/03/2024] Open
Abstract
Tracking a moving object with the eyes seems like a simple task but involves areas of prefrontal cortex (PFC) associated with attention, working memory and prediction. Increasing the demand on these processes with secondary tasks can affect eye movements and/or perceptual judgments. This is particularly evident in chronic or acute neurological conditions such as Alzheimer's disease or mild traumatic brain injury. Here, we combined near infrared spectroscopy and video-oculography to examine the effects of concurrent upper limb movement, which provides additional afference and efference that facilitates tracking of a moving object, in a novel dual-task pursuit protocol. We confirmed the expected effects on judgement accuracy in the primary and secondary tasks, as well as a reduction in eye velocity when the moving object was occluded. Although there was limited evidence of oculo-manual facilitation on behavioural measures, performing concurrent upper limb movement did result in lower activity in left medial PFC, as well as a change in PFC network organisation, which was shown by Graph analysis to be locally and globally more efficient. These findings extend upon previous work by showing how PFC is functionally organised to support eye-hand coordination when task demands more closely replicate daily activities.
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Affiliation(s)
- Lénaïc Borot
- School of Sport and Exercise Sciences, Faculty of Science, Liverpool John Moores University, Liverpool, UK
| | - Ruth Ogden
- School of Psychology, Faculty of Health, Liverpool John Moores University, Liverpool, UK
| | - Simon J Bennett
- School of Sport and Exercise Sciences, Faculty of Science, Liverpool John Moores University, Liverpool, UK.
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