1
|
Cao X, Zhang Y, Wu H, Da H, Xiao Q, Shi H. Decoding depression: How DLPFC and SMA mediate stress perception's role in mental health? J Affect Disord 2025; 379:323-331. [PMID: 40086480 DOI: 10.1016/j.jad.2025.03.036] [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: 11/02/2024] [Revised: 03/04/2025] [Accepted: 03/10/2025] [Indexed: 03/16/2025]
Abstract
BACKGROUND Depression is a common mental disorder that significantly impacts global well-being. Although stress is a major contributor to depression, not all stress leads to depressive outcomes due to differences in stress perception. Understanding the neural mechanisms of stress perception may help identify biomarkers for targeted interventions to alleviate stress-related depression. METHODS This study included 113 participants. Each participant completed a Verbal Fluency Task (VFT) while undergoing functional near-infrared spectroscopy (fNIRS) to monitor brain activity. Oxyhemoglobin (Oxy-Hb) concentration data were analyzed using Matlab, and PROCESS v4.1 to examine neural mechanisms connecting stress perception and depression. RESULTS Correlation analysis showed a significant negative association between depression severity and Oxy-Hb concentration in several brain regions, including the bilateral dorsolateral prefrontal cortex (DLPFC), bilateral Broca's area (BA), right frontal pole (FP), and right orbitofrontal cortex (OFC). Mediation and moderation analyses revealed that the bilateral DLPFC serves as a key mediator in the relationship between stress perception and depression, with the supplementary motor area (SMA) acts as a moderator. Functional differentiation was observed, with the left DLPFC and left SMA influencing the effect of nervous on depression, and the right DLPFC and right SMA influencing the effect of uncontrolled on depression. CONCLUSION The bilateral DLPFC and SMA play critical roles in mediating and moderating stress perception's impact on depression, suggesting these regions as potential targets for interventions in stress-related depressive disorders.
Collapse
Affiliation(s)
- Xiaochen Cao
- School of Education, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Yan Zhang
- School of Education, Huazhong University of Science and Technology, Wuhan 430074, China.
| | - Huifen Wu
- School of Education, Hubei Engineering University, Xiaogan 432000, China
| | - Hui Da
- School of Education, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Qiang Xiao
- Department of Neurology, Hospital of Huazhong University of Science and Technology, Wuhan 430074, China
| | - Hui Shi
- The Department of Cardio-Psychiatry Liaison Consultation, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
| |
Collapse
|
2
|
Ma X, Miao T, Xie F, Zhang J, Zheng L, Liu X, Hai H. Development of Wearable Wireless Multichannel f-NIRS System to Evaluate Activities. MICROMACHINES 2025; 16:576. [PMID: 40428702 PMCID: PMC12114292 DOI: 10.3390/mi16050576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/03/2025] [Revised: 05/03/2025] [Accepted: 05/12/2025] [Indexed: 05/29/2025]
Abstract
Functional near-infrared spectroscopy is a noninvasive neuroimaging technique that uses optical signals to monitor subtle changes in hemoglobin concentrations within the superficial tissue of the human body. This technology has widespread applications in long-term brain-computer interface monitoring within both traditional medical domains and, increasingly, domestic settings. The popularity of this approach lies in the fact that new single-channel brain oxygen sensors can be used in a variety of scenarios. Given the diverse sensor structure requirements across applications and numerous approaches to data acquisition, the accurate extraction of comprehensive brain activity information requires a multichannel near-infrared system. This study proposes a novel distributed multichannel near-infrared system that integrates two near-infrared light emissions at differing wavelengths (660 nm, 850 nm) with a photoelectric receiver. This substantially improves the accuracy of regional signal sampling. Through a basic long-time mental arithmetic paradigm, we demonstrate that the accompanying algorithm supports offline analysis and is sufficiently versatile for diverse scenarios relevant to the system's functionality.
Collapse
Affiliation(s)
- Xiaojie Ma
- School of Mechanical Engineering, Henan Institute of Technology, Xinxiang 453003, China; (X.M.); (L.Z.); (X.L.); (H.H.)
| | - Tianchao Miao
- School of Computer Science and Technology, Henan Institute of Technology, Xinxiang 453003, China;
| | - Fawen Xie
- State Key Laboratory of Robotics and Systems, Harbin Institute of Technology Shenzhen, Shenzhen 518055, China;
| | - Jieyu Zhang
- School of Mechanical Engineering, Henan Institute of Technology, Xinxiang 453003, China; (X.M.); (L.Z.); (X.L.); (H.H.)
| | - Lulu Zheng
- School of Mechanical Engineering, Henan Institute of Technology, Xinxiang 453003, China; (X.M.); (L.Z.); (X.L.); (H.H.)
| | - Xiang Liu
- School of Mechanical Engineering, Henan Institute of Technology, Xinxiang 453003, China; (X.M.); (L.Z.); (X.L.); (H.H.)
| | - Hangrui Hai
- School of Mechanical Engineering, Henan Institute of Technology, Xinxiang 453003, China; (X.M.); (L.Z.); (X.L.); (H.H.)
| |
Collapse
|
3
|
Daneshvari M, Nami M, Ashrafi A, Najibi SH, Zahedian Nasb R, Moghimi Sarani E. Neurocognitive Insights into Child Sexual Abuse Perpetrators: Understanding Cognitive and Emotional Profiles: A Case-Control Study. IRANIAN JOURNAL OF MEDICAL SCIENCES 2025; 50:304-315. [PMID: 40433183 PMCID: PMC12104540 DOI: 10.30476/ijms.2024.103138.3633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Revised: 08/19/2024] [Accepted: 09/15/2024] [Indexed: 05/29/2025]
Abstract
Background Child sexual abuse (CSA) is one of the most sensitive crimes in the world. Some perpetrators of CSA suffer from paraphilic disorders, including pedophilia (PE). This research is designed and implemented with the aim of neurocognitive evaluation of CSA perpetrators. Methods A case-control study was conducted over a period of 6 months from October 2022 to the end of March 2023 in Shiraz, Iran on the Experimental group (EG) (CSA perpetrators) (n=12) and the Control group (CG) (n=13). During these evaluations, information was obtained about sexual orientation, history of sexual activity, cognitive distortions, and cognitive performance of both groups. Physiological arousal factors were also measured using a polygraph device while participants viewed half-naked digital paintings of immature and adult individuals. Additionally, the study utilized functional near-infrared spectroscopy to measure hemodynamic changes in the left frontal pole (Fp1) and the right frontal pole (Fp2) while participants performed the Stroop task (ST). Results Compared to CG, EG showed a greater tendency towards homosexuality in the past (P=0.017), present (P=0.019), and ideal (P=0.022). Using the mini-mental state examination, cognitive distortion was shown more common in the EG group (P=0.001). Additionally, there was a significant relationship between sexual abuse between the ages of 12 and 16 and committing a crime (P=0.041). Cognitive performance during ST was poorer in EG than CG. Moreover, in the statistical comparison between groups, the amount of oxyhemoglobin (HbO) and deoxyhemoglobin (HbR) was significantly different in areas Fp1 (HbO: P=0.006 and HbR: P=0.014) and Fp2 (HbO: P=0.008 and HbR: P=0.005). Based on polygraph data, EG exhibited less emotional control than CG when viewing half-nude images of children (skin conductance: P<0.001 and heart rate: P=0.004). Conclusion Based on the results of this study, the CSA perpetrators seem to have a poorer neurocognitive function than the control group.
Collapse
Affiliation(s)
- Mohsen Daneshvari
- Department of Neuroscience, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammad Nami
- Cognitive Neuroscience and Neuropsychology Unit, Department of Social Sciences, FCAS, Canadian University Dubai, Dubai, UAE
| | - Arsalan Ashrafi
- Department of Law and Humanities, Islamic Azad University Shiraz, Shiraz, Iran
| | - Sayyed Hamid Najibi
- Department of Counseling, Faculty of Humanities and Social Sciences, Ardakan University, Ardakan, Iran
| | - Roohollah Zahedian Nasb
- Department of Neuroscience, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ebrahim Moghimi Sarani
- Department of Psychiatry, School of Medicine, Research Center for Psychiatry and Behavior Science, Ibn-E-Sina Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
| |
Collapse
|
4
|
Gemmerich R, Müller O, Schaller A. The application of fNIRS in studies on occupational workload: a systematic review. Front Public Health 2025; 13:1560605. [PMID: 40331113 PMCID: PMC12053328 DOI: 10.3389/fpubh.2025.1560605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2025] [Accepted: 03/27/2025] [Indexed: 05/08/2025] Open
Abstract
Background Occupational workload can contribute to significant health problems such as chronic stress, fatigue and burnout. To investigate the underlying mechanisms, it is necessary to monitor brain activity in real work environments. Functional near-infrared spectroscopy (fNIRS) is a portable, non-invasive neuroimaging method that captures neural correlates of occupational workload under natural conditions. However, despite its increasing application, a comprehensive overview of fNIRS-based research in this field is lacking. Therefore, this systematic review examines how fNIRS can be utilized to investigate occupational workload. Methods Following PRISMA 2020 guidelines, we conducted our systematic review by searching Web of Science, PubMed, and Scopus between November 15, 2023 and March 20, 2025. We included all studies published in English or German at any date, as long as they examined healthy adult professionals performing occupational tasks with functional near-infrared spectroscopy (fNIRS). Extracted data included study characteristics, workload details, signal processing methods, main fNIRS findings, and study quality, assessed using the JBI Critical Appraisal Tool. Results We included 41 studies. Of these, 23 reported a significant increase in oxygenated hemoglobin (HbO) concentration and functional connectivity in the prefrontal cortex (PFC) under higher occupational workload conditions. Only five studies examined typical office tasks. Nine studies analyzed differences in cortical activation between experts and novices, with experts showing increased HbO concentration in the PFC than novices. Regarding methodology, 26 studies used standardized optode placements, while only 17 applied systemic and extracerebral artifact correction. Small sample sizes and the absence of randomized controlled trials limited the reliability and reproducibility of the findings. Conclusion Functional near-infrared spectroscopy effectively detects neural correlates of occupational workload and provides objective insights into cognitive demands in real-world work settings. Standardizing optode placement, harmonizing signal-processing methods, and increasing sample sizes would enhance the validity and comparability of future research. Expanding investigations to typical office environments is also crucial for understanding daily workload and for developing interventions that promote employee well-being and productivity. Overall, fNIRS represents a promising tool for establishing evidence-based workplace health promotion strategies across diverse occupational settings.
Collapse
Affiliation(s)
- Robin Gemmerich
- Department of Workplace Health Promotion and Prevention, University of the Bundeswehr Munich, Neubiberg, Germany
| | | | - Andrea Schaller
- Department of Workplace Health Promotion and Prevention, University of the Bundeswehr Munich, Neubiberg, Germany
| |
Collapse
|
5
|
Zhang T, Wang N, Chai X, He Q, Cao T, Yuan L, Lan Q, Yang Y, Zhao J. Evaluation of pressure-induced pain in patients with disorders of consciousness based on functional near infrared spectroscopy. Front Neurol 2025; 16:1542691. [PMID: 40260139 PMCID: PMC12009939 DOI: 10.3389/fneur.2025.1542691] [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: 12/10/2024] [Accepted: 03/17/2025] [Indexed: 04/23/2025] Open
Abstract
Objective This study aimed to investigate the brain's hemodynamic responses (HRO) and functional connectivity in patients with disorders of consciousness (DoC) in response to acute pressure pain stimulation using near-infrared spectroscopy (NIRS). Methods Patients diagnosed with DoC underwent pressure stimulation while brain activity was measured using NIRS. Changes in oxygenated hemoglobin (HbO) and deoxygenated hemoglobin (HbR) concentrations were monitored across several regions of interest (ROIs), including the primary somatosensory cortex (PSC), primary motor cortex (PMC), dorsolateral prefrontal cortex (dPFC), somatosensory association cortex (SAC), temporal gyrus (TG), and frontopolar area (FPA). Functional connectivity was assessed during pre-stimulation, stimulation, and post-stimulation phases. Results No significant changes in HbO or HbR concentrations were observed during the stimulation vs. baseline or stimulation vs. post-stimulation comparisons, indicating minimal activation of the targeted brain regions in response to the pressure stimulus. However, functional connectivity between key regions, particularly the PSC, PMC, and dPFC, showed significant enhancement during the stimulation phase (r > 0.9, p < 0.001), suggesting greater coordination among sensory, motor, and cognitive regions. These changes in connectivity were not accompanied by significant activation in pain-related brain areas. Conclusion Although pain-induced brain activation was minimal in patients with DoC, enhanced functional connectivity during pain stimulation suggests that the brain continues to process pain information through coordinated activity between regions. The findings highlight the importance of assessing functional connectivity as a potential method for evaluating pain processing in patients with DoC.
Collapse
Affiliation(s)
- Tan Zhang
- Department of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Nan Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoke Chai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tianqing Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Liqun Yuan
- Department of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Qing Lan
- Department of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yi Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Brain Computer Interface Transitional Research Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jizong Zhao
- Department of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| |
Collapse
|
6
|
Farshad M, Barth B, Svaldi J, Artemenko C, Schroeder PA. Outbalanced: The cross-cortical effects of prefrontal neuromodulation in posterior parietal cortex. Cortex 2025; 185:96-112. [PMID: 40014897 DOI: 10.1016/j.cortex.2025.01.009] [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: 09/19/2024] [Revised: 12/19/2024] [Accepted: 01/12/2025] [Indexed: 03/01/2025]
Abstract
Cognitive phenomena such as the Spatial-Numerical Association of Response Codes (SNARC) effect can arise in the fronto-parietal cortical network. Prior neuromodulation studies with cathodal transcranial direct current stimulation (tDCS) over the left prefrontal cortex (PFC) reduced the SNARC effect. Prior neuroimaging studies with functional near-infrared spectroscopy (fNIRS), however, showed signatures of the SNARC effect in the posterior parietal cortex (PPC). In this study, we investigated the distant neural effect of prefrontal neuromodulation on hemodynamic activity in the parietal cortex by combining cathodal tDCS with fNIRS. The SNARC effect and the numerical distance effect (NDE) were assessed in an event-related cross-over design (N = 45), when cathodal tDCS of 1 mA at the left PFC was applied simultaneously during the measurement of fNIRS covering the bilateral PPC. At the behavioral level, prefrontal tDCS did not significantly reduce the SNARC effect, indicating that the replication failed here. Crucially, at the neuronal level, prefrontal tDCS reduced left parietal activation associated with the SNARC effect but not with the NDE. This neuronal effect of tDCS in a remote site was shown in preregistered primary region-of-interest analyses and in secondary all-channel analyses. The results showed how the combination of neuromodulation and neuroimaging shed light on the fronto-parietal network responsible for numerical cognition, and how fNIRS can assess the distant neural effects of cathodal tDCS.
Collapse
Affiliation(s)
- Maryam Farshad
- Department of Psychology, Clinical Psychology & Psychotherapy, University of Tübingen, Tübingen, Germany.
| | - Beatrix Barth
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University Hospital Tübingen, Tübingen, Germany; German Center for Mental Health (DZPG), Partner Site Tübingen, Germany.
| | - Jennifer Svaldi
- Department of Psychology, Clinical Psychology & Psychotherapy, University of Tübingen, Tübingen, Germany; German Center for Mental Health (DZPG), Partner Site Tübingen, Germany; LEAD Graduate School & Research Network, Germany.
| | - Christina Artemenko
- German Center for Mental Health (DZPG), Partner Site Tübingen, Germany; LEAD Graduate School & Research Network, Germany; Department of Psychology, Diagnostics and Cognitive Neuropsychology, University of Tübingen, Tübingen, Germany.
| | - Philipp A Schroeder
- Department of Psychology, Clinical Psychology & Psychotherapy, University of Tübingen, Tübingen, Germany; German Center for Mental Health (DZPG), Partner Site Tübingen, Germany.
| |
Collapse
|
7
|
Yang L, Wang Z. Applications and advances of combined fMRI-fNIRs techniques in brain functional research. Front Neurol 2025; 16:1542075. [PMID: 40170894 PMCID: PMC11958174 DOI: 10.3389/fneur.2025.1542075] [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: 12/09/2024] [Accepted: 02/27/2025] [Indexed: 04/03/2025] Open
Abstract
Understanding the intricate functions of the human brain requires multimodal approaches that integrate complementary neuroimaging techniques. This review systematically examines the integration of functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRs) in brain functional research, addressing their synergistic potential, methodological advancements, clinical and neuroscientific applications, and persistent challenges. We conducted a comprehensive literature review of 63 studies (from PubMed and Web of Science up to September 2024) using keyword combinations such as fMRI, fNIRs, and multimodal imaging. Our analysis reveals three key findings: (1) Methodological Synergy: Combining fMRI's high spatial resolution with fNIRs's superior temporal resolution and portability enables robust spatiotemporal mapping of neural activity, validated across motor, cognitive, and clinical tasks. Additionally, this study examines experimental paradigms and data processing techniques essential for effective multimodal neuroimaging. (2) Applications: The review categorizes integration methodologies into synchronous and asynchronous detection modes, highlighting their respective applications in spatial localization, validation of efficacy, and mechanism discovery. Synchronous and asynchronous integration modes have advanced research in neurological disorders (e.g., stroke, Alzheimer's), social cognition, and neuroplasticity, while novel hyperscanning paradigms extend applications to naturalistic, interactive settings. (3) Challenges: Hardware incompatibilities (e.g., electromagnetic interference in MRI environments), experimental limitations (e.g., restricted motion paradigms), and data fusion complexities hinder widespread adoption. The future direction emphasizes hardware innovation (such as fNIR probe compatible with MRI), standardized protocol and data integration driven by machine learning, etc. to solve the depth limitation of fNIR and infer subcortical activities. This synthesis underscores the transformative potential of fMRI-fNIRs integration in bridging spatial and temporal gaps in neuroimaging, while enhancing diagnostic and therapeutic strategies and paving the way for future innovations in brain research.
Collapse
Affiliation(s)
- Lirui Yang
- Key Laboratory of Biomechanics and Mechanobiology, Beihang University, Ministry of Education, Beijing, China
- Key Laboratory of Innovation and Transformation of Advanced Medical Devices, Ministry of Industry and Information Technology, Beijing, China
- National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices, Interdiscipline of Medicine and Engineering, Beijing, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Zehua Wang
- Key Laboratory of Biomechanics and Mechanobiology, Beihang University, Ministry of Education, Beijing, China
- Key Laboratory of Innovation and Transformation of Advanced Medical Devices, Ministry of Industry and Information Technology, Beijing, China
- National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices, Interdiscipline of Medicine and Engineering, Beijing, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- Center for Medical Device Evaluation, NMPA, Beijing, China
| |
Collapse
|
8
|
Soekadar SR, Scholkmann F, Yücel MA, Pinti P, Noah JA, von Lühmann A. Editorial: Advances in mobile optical brain activity monitoring. FRONTIERS IN NEUROERGONOMICS 2025; 6:1568619. [PMID: 40124742 PMCID: PMC11925908 DOI: 10.3389/fnrgo.2025.1568619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2025] [Accepted: 02/24/2025] [Indexed: 03/25/2025]
Affiliation(s)
- Surjo R. Soekadar
- Clinical Neurotechnology Lab, Department of Psychiatry and Neurosciences, Charité Campus Mitte (CCM), Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Felix Scholkmann
- Biomedical Optics Research Laboratory, Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Institute of Complementary and Integrative Medicine, University of Bern, Bern, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Meryem Ayşe Yücel
- Department of Biomedical Engineering, Neurophotonics Center, Boston University, Boston, MA, United States
| | - Paola Pinti
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London, United Kingdom
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - J. Adam Noah
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, United States
| | - Alexander von Lühmann
- Department of Biomedical Engineering, Neurophotonics Center, Boston University, Boston, MA, United States
- BIFOLD - Berlin Institute for the Foundations of Learning and Data, Berlin, Germany
- Technical University Berlin, Intelligent Biomedical Sensing Lab, Berlin, Germany
| |
Collapse
|
9
|
Shin H, Seong W, Woo Y, Kim JH, Park KR, Lee DH. Neural Mechanism of Cognitive Reserve in Acupuncture Stimulation: Protocol for a Randomized, Placebo-Controlled Functional Near-Infrared Spectroscopy Trial. JMIR Res Protoc 2025; 14:e66838. [PMID: 39970435 PMCID: PMC11888064 DOI: 10.2196/66838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2024] [Revised: 01/14/2025] [Accepted: 01/22/2025] [Indexed: 02/21/2025] Open
Abstract
BACKGROUND Dementia is a clinical syndrome characterized by a progressive decline in various cognitive domains. Since there is still no treatment for dementia, early diagnosis and prevention are the best approaches. In this context, the cognitive reserve (CR) concept has received considerable attention in dementia research with regard to prognosis. It originates from discrepancies between the degree of brain pathology and clinical manifestations. Acupuncture, as a complementary intervention, has long been widely applied in neurological diseases in East Asia. At the macroscale level, how acupuncture stimulation affects neural activity concerning CR in normal aging and dementia is largely unknown. OBJECTIVE The aim of this study is to investigate the acute neural mechanisms of acupuncture stimulation concerning CR in the normal aging group and the group with cognitive impairment using neuroimaging methods. METHODS This study is a randomized, placebo-controlled trial. Participants without (n=30) and with cognitive impairment (n=30) will be randomly assigned to the verum or sham acupuncture groups. The verum acupuncture group will receive acupuncture stimulation at acupoints related to cognitive function and gain deqi sensation. The sham acupuncture group will receive superficial needling at nonacupoints not related to cognitive function. Each group will undergo cognitive function tests, functional near-infrared spectroscopy imaging before and after acupuncture stimulation, and an assessment of CR. The primary outcomes will be differences in resting brain activities according to disease status, differences in resting brain connectivity before and after acupuncture stimulation between the 2 groups, and changes in brain activity in relation to the CR index. The secondary outcomes will be brain connectivity or network metrics associated with CR and differences in neural activity between the cognitive task and resting states. RESULTS The recruitment began in August 2023; to date, there have been 50 participants, divided into 20 in the group with cognitive impairment and 30 in the unimpaired group. The recruitment process will continue until February 2025. CONCLUSIONS CR refers to the individual susceptibility to age-related brain changes and pathologies in cognitive impairment, and it is a factor affecting the trajectories of the disease. Although acupuncture is a widely used intervention for various neurological diseases, including dementia, its mechanism associated with CR at the macroscale has not been clearly identified. This study could contribute to identifying the neural mechanisms of acupuncture stimulation associated with CR using neuroimaging methods and provide a basis for future longitudinal research. TRIAL REGISTRATION Clinical Research Information Service of the Republic of Korea KCT0008719; https://tinyurl.com/ydv5537n. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/66838.
Collapse
Affiliation(s)
- Hyeonsang Shin
- College of Korean Medicine, Sangji University, Wonju-si, Gangwon-do, Republic of Korea
| | - Woohyun Seong
- College of Korean Medicine, Sangji University, Wonju-si, Gangwon-do, Republic of Korea
| | - Yeonju Woo
- Department of Physiology, College of Korean Medicine, Sangji University, Wonju-si, Gangwon-do, Republic of Korea
- Research Institute of Korean Medicine, Sangji University, Wonju-si, Gangwon-do, Republic of Korea
| | - Joo-Hee Kim
- Research Institute of Korean Medicine, Sangji University, Wonju-si, Gangwon-do, Republic of Korea
- Department of Acupuncture & Moxibustion, College of Korean Medicine, Sangji University, Wonju-si, Gangwon-do, Republic of Korea
| | - Kwang-Rak Park
- Department of Anatomy, College of Korean Medicine, Sangji University, Wonju-si, Gangwon-do, Republic of Korea
| | - Dong Hyuk Lee
- Research Institute of Korean Medicine, Sangji University, Wonju-si, Gangwon-do, Republic of Korea
- Department of Anatomy, College of Korean Medicine, Sangji University, Wonju-si, Gangwon-do, Republic of Korea
| |
Collapse
|
10
|
Ming X, Luo G, Wang J, Dou H, Li H, Lei Y. Integrating behavioral and neurophysiological insights: High trait anxiety enhances observational fear learning. Neuroimage 2025; 307:121037. [PMID: 39828068 DOI: 10.1016/j.neuroimage.2025.121037] [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: 05/08/2024] [Revised: 01/15/2025] [Accepted: 01/16/2025] [Indexed: 01/22/2025] Open
Abstract
Observational fear learning delineates the process by which individuals learn about potential threats through observing others' reactions. Prior research indicates that individuals with high trait anxiety (HTA) manifest pronounced fear responses in direct fear learning scenarios. However, the specific influence of trait anxiety on observational fear learning remains insufficiently explored. This study aimed to fill this gap by examining 64 university students, divided equally between those with HTA and low trait anxiety (LTA), selected from an initial pool of 483 participants. Participants were subjected to observational fear learning tasks, and their behavioral responses, physiological reactions, and brain activations were recorded. Results demonstrated that HTA participants exhibited differentiated skin conductance responses to threat and safety stimuli during the observational fear acquisition phase, notwithstanding prior assurances against shock delivery. Furthermore, during the direct test phase, HTA participants reported significantly elevated fear and shock expectancy ratings for both types of stimuli, in contrast to their LTA counterparts. Neuroimaging data, derived via functional near-infrared spectroscopy (fNIRS) revealed heightened medial prefrontal cortex activation in HTA participants when directly facing threats. This study systematically explores the influence of high trait anxiety on observational fear learning, uncovering that HTA individuals exhibit excessive fear responses. These findings highlight the critical role of trait anxiety as a significant risk factor in the development of anxiety disorders.
Collapse
Affiliation(s)
- Xianchao Ming
- School of Psychology, South China Normal University, Guangzhou, 510631, China; Institute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China
| | - Ganzhong Luo
- Institute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China
| | - Jinxia Wang
- Institute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China
| | - Haoran Dou
- Institute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China
| | - Hong Li
- School of Psychology, South China Normal University, Guangzhou, 510631, China; Institute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China
| | - Yi Lei
- Institute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China.
| |
Collapse
|
11
|
Wang N, He Y, Zhu S, Liu D, Chai X, He Q, Cao T, He J, Li J, Si J, Yang Y, Zhao J. Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness. Front Neurol 2025; 16:1524806. [PMID: 39963381 PMCID: PMC11830608 DOI: 10.3389/fneur.2025.1524806] [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: 11/08/2024] [Accepted: 01/13/2025] [Indexed: 02/20/2025] Open
Abstract
Background Advances in neuroimaging have significantly enhanced our understanding of brain function, providing critical insights into the diagnosis and management of disorders of consciousness (DoC). Functional near-infrared spectroscopy (fNIRS), with its real-time, portable, and noninvasive imaging capabilities, has emerged as a promising tool for evaluating functional brain activity and nonrecovery potential in DoC patients. This review explores the current applications of fNIRS in DoC research, identifies its limitations, and proposes future directions to optimize its clinical utility. Aim This review examines the clinical application of fNIRS in monitoring DoC. Specifically, it investigates the potential value of combining fNIRS with brain-computer interfaces (BCIs) and closed-loop neuromodulation systems for patients with DoC, aiming to elucidate mechanisms that promote neurological recovery. Methods A systematic analysis was conducted on 155 studies published between January 1993 and October 2024, retrieved from the Web of Science Core Collection database. Results Analysis of 21 eligible studies on neurological diseases involving 262 DoC patients revealed significant findings. The prefrontal cortex was the most frequently targeted brain region. fNIRS has proven crucial in assessing brain functional connectivity and activation, facilitating the diagnosis of DoC. Furthermore, fNIRS plays a pivotal role in diagnosis and treatment through its application in neuromodulation techniques such as deep brain stimulation (DBS) and spinal cord stimulation (SCS). Conclusion As a noninvasive, portable, and real-time neuroimaging tool, fNIRS holds significant promise for advancing the assessment and treatment of DoC. Despite limitations such as low spatial resolution and the need for standardized protocols, fNIRS has demonstrated its utility in evaluating residual brain activity, detecting covert consciousness, and monitoring therapeutic interventions. In addition to assessing consciousness levels, fNIRS offers unique advantages in tracking hemodynamic changes associated with neuroregulatory treatments, including DBS and SCS. By providing real-time feedback on cortical activation, fNIRS facilitates optimizing therapeutic strategies and supports individualized treatment planning. Continued research addressing its technical and methodological challenges will further establish fNIRS as an indispensable tool in the diagnosis, prognosis, and treatment monitoring of DoC patients.
Collapse
Affiliation(s)
- Nan Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yifang He
- School of Instrumentation Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, China
| | - Sipeng Zhu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Dongsheng Liu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Xiaoke Chai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Brain Computer Interface Transitional Research Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Tianqing Cao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jianghong He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jingqi Li
- Hangzhou Mingzhou Brain Rehabilitation Hospital, Hangzhou, China
| | - Juanning Si
- School of Instrumentation Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, China
| | - Yi Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Brain Computer Interface Transitional Research Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Center for Neurological Disorders, Beijing, China
- National Research Center for Rehabilitation Technical Aids, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
- Beijing Institute of Brain Disorders, Beijing, China
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| |
Collapse
|
12
|
Luke R, Oostenveld R, Cockx H, Niso G, Shader MJ, Orihuela-Espina F, Innes-Brown H, Tucker S, Boas D, Yücel MA, Gau R, Salo T, Appelhoff S, Markiewicz CJ, McAlpine D, Pollonini L. NIRS-BIDS: Brain Imaging Data Structure Extended to Near-Infrared Spectroscopy. Sci Data 2025; 12:159. [PMID: 39870674 PMCID: PMC11772744 DOI: 10.1038/s41597-024-04136-9] [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: 04/21/2024] [Accepted: 11/13/2024] [Indexed: 01/29/2025] Open
Abstract
Functional near-infrared spectroscopy (fNIRS) is an increasingly popular neuroimaging technique that measures cortical hemodynamic activity in a non-invasive and portable fashion. Although the fNIRS community has been successful in disseminating open-source processing tools and a standard file format (SNIRF), reproducible research and sharing of fNIRS data amongst researchers has been hindered by a lack of standards and clarity over how study data should be organized and stored. This problem is not new in neuroimaging, and it became evident years ago with the proliferation of publicly available neuroimaging datasets. To solve this critical issue, the neuroimaging community created the Brain Imaging Data Structure (BIDS) that specifies standards for how datasets should be organized to facilitate sharing and reproducibility of science. Currently, BIDS supports dozens of neuroimaging modalities including MRI, EEG, MEG, PET, and many others. In this paper, we present the extension of BIDS for NIRS data alongside tools that may assist researchers in organizing existing and new data with the goal of promoting public disseminations of fNIRS datasets.
Collapse
Affiliation(s)
- Robert Luke
- Macquarie University Hearing & Department of Linguistics, Australian Hearing Hub, Sydney, Australia
- AE Studio, Venice, CA, USA
| | - Robert Oostenveld
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- NatMEG, Karolinska Institutet, Stockholm, Sweden
| | - Helena Cockx
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Guiomar Niso
- Instituto Cajal and Cajal International Neuroscience Center, CSIC, Madrid, Spain, CSIC, Madrid, Spain
| | - Maureen J Shader
- Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN, USA
| | | | | | - Stephen Tucker
- Neurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - David Boas
- Neurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Meryem A Yücel
- Neurophotonics Center, Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Remi Gau
- Institute of Psychology, Université Catholique de Louvain, Louvain la Neuve, Belgium
| | - Taylor Salo
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Stefan Appelhoff
- Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany
| | | | - David McAlpine
- Macquarie University Hearing & Department of Linguistics, Australian Hearing Hub, Sydney, Australia
| | - Luca Pollonini
- Department of Engineering Technology, University of Houston, Houston, TX, USA.
- Basque Center on Cognition, Brain and Language, Donostia-San Sebastián, Spain.
| |
Collapse
|
13
|
Çemç MS, Ağduman F. Evaluating the impact of boxing on prefrontal cortex activation and cognitive performance: A pilot study using fNIRS technology and the Stroop test. PLoS One 2024; 19:e0314979. [PMID: 39671403 PMCID: PMC11643274 DOI: 10.1371/journal.pone.0314979] [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: 07/02/2024] [Accepted: 11/19/2024] [Indexed: 12/15/2024] Open
Abstract
This research sets out to investigate the differences in hemoglobin concentration occurring in the prefrontal cortex (PFC) during the administration of the Stroop test in active amateur boxers and to compare the obtained data regarding chronic traumatic brain injury with those of healthy individuals. The research was conducted at the Atatürk University Neuropsychology Laboratory. Participants consisted of 6 male boxers, aged 19.66 ± 2.94 years, who had been actively boxing for 7.5 ± 3.8 years and had received at least high school level education, with right-hand dominance, and 8 healthy males, aged 19.62 ± 1.18 years, who had not engaged in any combat sports. fNIRS recordings were taken over the Prefrontal Cortex (PFC) while Stroop test stimuli were presented to the participants in a block design. The data were analyzed using the JASP program. Mann-Whitney U test was applied to evaluate the differences between groups in Stroop test data. The activation levels on the prefrontal cortex during the test were evaluated using the Repeated Measures ANOVA test. A significance level of p <0.05 was accepted for the analyses. In conclusion, compared to the control group, boxers demonstrated a significantly higher level of cerebral activation in the right dlPFC/vlPFC regions during the congruent task and in the right dmPFC as well as the left dmPFC/vmPFC/OFC regions during the incongruent task in the Stroop test. When the Stroop test results of the participants were evaluated between groups, it was found that although statistically insignificant compared to healthy subjects, boxers generally exhibited failure. In conclusion, it was found that boxers exhibit higher neural activation responses and lower cognitive performance during neurophysiological testing compared to healthy controls. These two conditions are thought to be interconnected and are considered to result from neural inefficiency.
Collapse
Affiliation(s)
- Muhammed Sıddık Çemç
- Department of Physical Education and Sports, Boğaziçi University, Istanbul, Türkiye
| | - Fatih Ağduman
- Department of Recreation, Faculty of Sport Sciences, Atatürk University, Erzurum, Türkiye
- Sport Sciences Research and Application Center, Atatürk University, Erzurum, Türkiye
| |
Collapse
|
14
|
Chen Z, Zhao X, Liu H, Wang Y, Zhang Z, Zhang Y, Liu Y. Individualized post-operative prediction of cochlear implantation outcomes in children with prelingual deafness using functional near-infrared spectroscopy. Laryngoscope Investig Otolaryngol 2024; 9:e70035. [PMID: 39539355 PMCID: PMC11558700 DOI: 10.1002/lio2.70035] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 10/08/2024] [Accepted: 10/29/2024] [Indexed: 11/16/2024] Open
Abstract
Objective The goal of this study was to develop an objective measure and predictor of cochlear implantation (CI) outcomes using functional near-infrared spectroscopy (fNIRS) for young children with prelingual deafness. Methods Sound-evoked hemodynamic responses were recorded from auditory and language-related cortical regions of 47 child CI recipients (35.47 ± 17.24 months of age) using fNIRS shortly after CI activation (0.26 ± 0.30 months). There were four sound conditions (natural speech, instrumental music, multi-speaker babble noise, and speech-in-noise). Post-CI auditory and verbal communication performance was evaluated using clinical questionnaires with caretakers. Both classification and individualized regression models were constructed to predict post-CI behavioral improvement from fNIRS data using support vector machine (SVM) learning algorithms. Results Auditory cortical responses shortly after CI hearing onset yielded highly accurate prediction of behavioral development in young CI children. For classification models, optimal prediction was achieved using cortical responses to two or more sound conditions, with the highest accuracy of 98.20% (precision = 98.17%, sensitivity = 98.96%, area under the curve of the receiver operating characteristic curve = 99.61%) obtained with the combination of speech, noise, and music stimuli. Similarly, for regression models, best prediction of individual development was achieved using three (highest r = 0.919) or four (r = 0.966) sound conditions. The predictability of cortical responses far outperformed (Cohen's d: 18.56) that of the collection of audiological and demographic parameters (classification accuracy: 0.62) under the same SVM algorithms and could not benefit from the inclusion of the latter. Conclusion Machine learning models using auditory cortical hemodynamic responses shortly after CI activation were able to predict individualized post-CI behavioral improvement in children with prelingual deafness. Level of Evidence Level 5.
Collapse
Affiliation(s)
- Zhe Chen
- Department of Otorhinolaryngology Head and NeckBeijing Friendship Hospital, Capital Medical UniversityBeijingChina
| | - Xue Zhao
- State Key Laboratory of Cognitive Neuroscience and LearningBeijing Normal UniversityBeijingChina
| | - Haotian Liu
- Department of Otolaryngology Head and Neck SurgeryWest China Hospital of Sichuan UniversityChengduChina
| | - Yuyang Wang
- Department of Otolaryngology Head and Neck SurgeryHunan Provincial People's Hospital, First Affiliated Hospital of Hunan Normal UniversityChangshaChina
| | - Zhikai Zhang
- Department of Otorhinolaryngology Head and NeckBeijing Chao‐Yang Hospital, Capital Medical UniversityBeijingChina
| | - Yuxuan Zhang
- State Key Laboratory of Cognitive Neuroscience and LearningBeijing Normal UniversityBeijingChina
| | - Yuhe Liu
- Department of Otorhinolaryngology Head and NeckBeijing Friendship Hospital, Capital Medical UniversityBeijingChina
| |
Collapse
|
15
|
Yu M, Wu H, Hu H, Cheng Y, Qin Y, Yang K, Hu C, Guo W, Kong Y, Zhao W, Cheng X, Jiang H, Wang S. Emerging near-infrared targeting diagnostic and therapeutic strategies for ischemic cardiovascular and cerebrovascular diseases. Acta Biomater 2024:S1742-7061(24)00682-2. [PMID: 39577483 DOI: 10.1016/j.actbio.2024.11.027] [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: 07/28/2024] [Revised: 11/10/2024] [Accepted: 11/19/2024] [Indexed: 11/24/2024]
Abstract
Ischemic cardiovascular and cerebrovascular diseases (ICCDs), including thrombosis, ischemic stroke and atherosclerosis, represent a significant threat to human health, and there is an urgent requirement for the implementation of emerging diagnostic and therapeutic approaches to improve symptoms and prognosis. As a promising noninvasive modality offering high spatial and temporal resolution with favorable biocompatible properties, near-infrared (NIR) light has demonstrated a vast and profound potential in the biomedical field in recent years. Meanwhile, nanomedicine carriers are undergoing rapid development due to their high specific surface area, elevated drug loading capacity, and unique physicochemical properties. The combination of NIR light with targeted nanoprobes modified with different functional components not only maintains the high penetration depth of NIR irradiation in biological tissues but also significantly enhances the targeting specificity at the lesion site. This strategy allows for the realization of on-demand drug release and photothermal effects, thus inspiring promising avenues for the diagnosis and treatment of ICCDs. However, the clinical translation of NIR imaging and therapy is still hindered by significant obstacles. The existing literature has provided a comprehensive overview of the advancements in NIR-based nanomedicine research. However, there is a notable absence of reviews that summarize the NIR-mediated targeting strategies against ICCDs in imaging and therapy. Therefore, this review concludes the application of the emerging targeting probes combined with NIR radiation for ICCDs classified by molecular targets, analyzes the current challenges, and provides improvement strategies and prospects for further clinical translation. STATEMENT OF SIGNIFICANCE: Ischemic cardiovascular and cerebrovascular diseases (ICCDs) represent a significant threat to human health. Recently, near-infrared (NIR) light combined with targeting probes have been employed for the diagnosis and treatment of ICCDs, offering exceptional advantages including rapid feedback, high penetration depth, on-demand drug release, and favorable biocompatibility. However, there is a notable absence of reviews that summarize the NIR light-mediated targeting strategies for the imaging and therapy of ICCDs. Therefore, this review summarizes the emerging targeting probes combined with NIR light classified by molecular targets, and the proposes potential improvement strategies for clinical translation. This review elucidates the potential and current status of NIR-based techniques in ICCDs, while also serving as a reference point for additional targeted therapeutic strategies for ICCDs.
Collapse
Affiliation(s)
- Mengran Yu
- Department of Cardiology, Hubei Key Laboratory of Cardiology, Renmin Hospital of Wuhan University, Cardiac Autonomic Nervous System Research Center of Wuhan University, Cardiovascular Research Institute, Wuhan University, Wuhan 430061, China
| | - Huijun Wu
- Department of Cardiology, Hubei Key Laboratory of Cardiology, Renmin Hospital of Wuhan University, Cardiac Autonomic Nervous System Research Center of Wuhan University, Cardiovascular Research Institute, Wuhan University, Wuhan 430061, China
| | - Haoyuan Hu
- Department of Cardiology, Hubei Key Laboratory of Cardiology, Renmin Hospital of Wuhan University, Cardiac Autonomic Nervous System Research Center of Wuhan University, Cardiovascular Research Institute, Wuhan University, Wuhan 430061, China
| | - Ye Cheng
- Department of Cardiology, Hubei Key Laboratory of Cardiology, Renmin Hospital of Wuhan University, Cardiac Autonomic Nervous System Research Center of Wuhan University, Cardiovascular Research Institute, Wuhan University, Wuhan 430061, China
| | - Youran Qin
- Department of Cardiology, Hubei Key Laboratory of Cardiology, Renmin Hospital of Wuhan University, Cardiac Autonomic Nervous System Research Center of Wuhan University, Cardiovascular Research Institute, Wuhan University, Wuhan 430061, China
| | - Kaiqing Yang
- Department of Cardiology, Hubei Key Laboratory of Cardiology, Renmin Hospital of Wuhan University, Cardiac Autonomic Nervous System Research Center of Wuhan University, Cardiovascular Research Institute, Wuhan University, Wuhan 430061, China
| | - ChangHao Hu
- Department of Cardiology, Hubei Key Laboratory of Cardiology, Renmin Hospital of Wuhan University, Cardiac Autonomic Nervous System Research Center of Wuhan University, Cardiovascular Research Institute, Wuhan University, Wuhan 430061, China
| | - Wei Guo
- Department of Cardiology, Hubei Key Laboratory of Cardiology, Renmin Hospital of Wuhan University, Cardiac Autonomic Nervous System Research Center of Wuhan University, Cardiovascular Research Institute, Wuhan University, Wuhan 430061, China
| | - Yuxuan Kong
- Department of Cardiology, Hubei Key Laboratory of Cardiology, Renmin Hospital of Wuhan University, Cardiac Autonomic Nervous System Research Center of Wuhan University, Cardiovascular Research Institute, Wuhan University, Wuhan 430061, China
| | - Weiwen Zhao
- Department of Cardiology, Hubei Key Laboratory of Cardiology, Renmin Hospital of Wuhan University, Cardiac Autonomic Nervous System Research Center of Wuhan University, Cardiovascular Research Institute, Wuhan University, Wuhan 430061, China
| | - Xueqin Cheng
- Department of Cardiology, Hubei Key Laboratory of Cardiology, Renmin Hospital of Wuhan University, Cardiac Autonomic Nervous System Research Center of Wuhan University, Cardiovascular Research Institute, Wuhan University, Wuhan 430061, China
| | - Hong Jiang
- Department of Cardiology, Hubei Key Laboratory of Cardiology, Renmin Hospital of Wuhan University, Cardiac Autonomic Nervous System Research Center of Wuhan University, Cardiovascular Research Institute, Wuhan University, Wuhan 430061, China.
| | - Songyun Wang
- Department of Cardiology, Hubei Key Laboratory of Cardiology, Renmin Hospital of Wuhan University, Cardiac Autonomic Nervous System Research Center of Wuhan University, Cardiovascular Research Institute, Wuhan University, Wuhan 430061, China.
| |
Collapse
|
16
|
Liu J, Li W, Ma R, Lai J, Xiao Y, Ye Y, Li S, Xie X, Tian J. Neuromechanisms of simulation-based arthroscopic skills assessment: a fNIRS study. Surg Endosc 2024; 38:6506-6517. [PMID: 39271512 DOI: 10.1007/s00464-024-11261-4] [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: 05/10/2024] [Accepted: 08/28/2024] [Indexed: 09/15/2024]
Abstract
BACKGROUND The neural mechanisms underlying differences in the performance of simulated arthroscopic skills across various skill levels remain unclear. Our primary objective is to investigate the learning mechanisms of simulated arthroscopic skills using functional near-infrared spectroscopy (fNIRS). METHODS We recruited 27 participants, divided into three groups: novices (n = 9), intermediates (n = 9), and experts (n = 9). Participants completed seven arthroscopic tasks on a simulator, including diagnostic navigation, triangulation, grasping stars, diagnostic exploration, meniscectomy, synovial membrane cleaning, and loose body removal. All tasks were videotaped and assessed via the simulator system and the Arthroscopic Surgical Skill Evaluation Tool (ASSET), while cortical activation data were collected using fNIRS. Simulator scores and ASSET scores were analyzed to identify different level of performance of all participants. Brain region activation and functional connectivity (FC) of different types of participants were analyzed from fNIRS data. RESULTS Both the expert and intermediate groups scored significantly higher than the novice group (p < 0.001). There were significant differences in ASSET scores between experts and intermediates, experts and novices, and intermediates and novices (p = 0.0047, p < 0.0001, p < 0.0001), with the trend being experts > intermediates > novices. The intermediate group exhibited significantly greater activation in the left primary motor cortex (LPMC) and left prefrontal cortex (LPFC) compared to the novice group (p = 0.0152, p = 0.0021). Compared to experts, the intermediate group demonstrated significantly increased FC between the presupplementary motor area (preSMA) and the right prefrontal cortex (RPFC; p < 0.001). Additionally, the intermediate group showed significantly increased FC between the preSMA and LPFC, RPFC and LPFC, and LPMC and LPFC compared to novices (p = 0.0077, p = 0.0285, p = 0.0446). CONCLUSION Cortical activation and functional connectivity reveal varying levels of activation intensity in the PFC, PMC, and preSMA among novices, intermediates, and experts. The intermediate group exhibited the highest activation intensity.
Collapse
Affiliation(s)
- Jiajia Liu
- Department of Orthopedics, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, 510282, China
| | - Wei Li
- Department of Orthopedics, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, 510282, China
| | - Ruixin Ma
- Department of Clinical Skills Training Center, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, 510282, China
| | - Jianming Lai
- Department of Clinical Skills Training Center, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, 510282, China
| | - Yao Xiao
- Department of Clinical Skills Training Center, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, 510282, China
| | - Yan Ye
- Department of Orthopedics, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, 510282, China
| | - Shoumin Li
- Department of Clinical Skills Training Center, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, 510282, China
| | - Xiaobo Xie
- Department of Orthopedics, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, 510282, China.
| | - Jing Tian
- Department of Clinical Skills Training Center, Zhujiang Hospital, Southern Medical University, 253 Gongye Middle Avenue, Haizhu District, Guangzhou, 510282, China.
| |
Collapse
|
17
|
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; 37:1139-1157. [PMID: 39042322 PMCID: PMC11408581 DOI: 10.1007/s10548-024-01070-2] [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: 11/11/2023] [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.
Collapse
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
| |
Collapse
|
18
|
Januário GC, Bertachini ALL, Escarce AG, de Resende LM, de Miranda DM. Functional near-infrared spectroscopy and language development: An integrative review. Int J Dev Neurosci 2024; 84:613-637. [PMID: 39135460 DOI: 10.1002/jdn.10366] [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: 08/05/2023] [Revised: 07/01/2024] [Accepted: 07/05/2024] [Indexed: 11/09/2024] Open
Abstract
Functional near-infrared spectroscopy (fNIRS) stands poised to revolutionize our understanding of auditory detection, speech perception, and language development in infants. In this study, we conducted a meticulous integrative review across Medline, Scopus, and LILACS databases, targeting investigations utilizing fNIRS to explore language-related features and cortical activation during auditory stimuli in typical infants. We included studies that used the NIRS technique to study language and cortical activation in response to auditory stimuli in typical infants between 0 and 3 years old. We used the ROBINS-I tool to assess the quality and the risk of bias in the studies. Our analysis, encompassing 66 manuscripts, is presented in standardized tables for streamlined data extraction. We meticulously correlated findings with children's developmental stages, delineating crucial insights into brain development and its intricate interplay with language outcomes. Although most studies have a high risk for overall bias, especially due to the high loss of data in NIRS studies, the low risk in the other domains is predominant and homogeneous among the studies. Highlighted are the unique advantages of fNIRS for pediatric studies, underscored by its innate suitability for use in children. This review accentuates fNIRS' capacity to elucidate the neural correlates of language processing and the sequential steps of language acquisition. From birth, infants exhibit abilities that lay the foundation for language development. The progression from diffuse to specific neural activation patterns is extremely influenced by exposure to languages, social interaction, and prosodic features and, reflects the maturation of brain networks involved in language processing. In conclusion, fNIRS emerges as an indispensable functional imaging modality, providing insights into the temporal dynamics of language acquisition and associated developmental milestones. This synthesis presents the pivotal role of fNIRS in advancing our comprehension of early language development and paves the way for future research endeavors in this domain.
Collapse
Affiliation(s)
- Gabriela Cintra Januário
- Department of Pediatrics, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- NUPAD - Center for Newborn Screening and Genetic Diagnostics, UFMG - Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Ana Lívia Libardi Bertachini
- Department of Pediatrics, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- NUPAD - Center for Newborn Screening and Genetic Diagnostics, UFMG - Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Andrezza Gonzalez Escarce
- Department of Pediatrics, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- Department of Speech Language Pathology and Audiology, Universidade Federal de Minas Gerais, Brazil
| | | | | |
Collapse
|
19
|
Ren B, Ren P, Luo W, Xin J. A Brain Network Analysis Model for Motion Sickness in Electric Vehicles Based on EEG and fNIRS Signal Fusion. SENSORS (BASEL, SWITZERLAND) 2024; 24:6613. [PMID: 39460093 PMCID: PMC11510973 DOI: 10.3390/s24206613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2024] [Revised: 09/28/2024] [Accepted: 10/12/2024] [Indexed: 10/28/2024]
Abstract
Motion sickness is a common issue in electric vehicles, significantly impacting passenger comfort. This study aims to develop a functional brain network analysis model by integrating electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) signals to evaluate motion sickness symptoms. During real-world testing with the Feifan F7 series of new energy-electric vehicles from SAIC Motor Corp, data were collected from 32 participants. The EEG signals were divided into four frequency bands: delta-range, theta-range, alpha-range, and beta-range, and brain oxygenation variation was calculated from the fNIRS signals. Functional connectivity between brain regions was measured to construct functional brain network models for motion sickness analysis. A motion sickness detection model was developed using a graph convolutional network (GCN) to integrate EEG and fNIRS data. Our results show significant differences in brain functional connectivity between participants in motion and non-motion sickness states. The model that combined fNIRS data with high-frequency EEG signals achieved the best performance, improving the F1 score by 11.4% compared to using EEG data alone and by 8.2% compared to using fNIRS data alone. These results highlight the effectiveness of integrating EEG and fNIRS signals using GCN for motion sickness detection. They demonstrate the model's superiority over single-modality approaches, showcasing its potential for real-world applications in electric vehicles.
Collapse
Affiliation(s)
- Bin Ren
- Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China;
- Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology, Ningbo Institute of Materials Technology & Engineering, Chinese Academy of Sciences, Ningbo 315201, China
| | - Pengyu Ren
- Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China;
| | - Wenfa Luo
- SAIC Motor R&D Innovation Headquarters, SAIC Motor Corporation Limited, Shanghai 201804, China; (W.L.); (J.X.)
| | - Jingze Xin
- SAIC Motor R&D Innovation Headquarters, SAIC Motor Corporation Limited, Shanghai 201804, China; (W.L.); (J.X.)
| |
Collapse
|
20
|
Gonzalez C, Ranchod S, Rakobowchuk M. Using multivariate partial least squares on fNIRS data to examine load-dependent brain-behaviour relationships in aging. PLoS One 2024; 19:e0312109. [PMID: 39401216 PMCID: PMC11472942 DOI: 10.1371/journal.pone.0312109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Accepted: 09/30/2024] [Indexed: 10/17/2024] Open
Abstract
Researchers implementing non-invasive neuroimaging have reported distinct load-dependent brain activity patterns in older adults compared with younger adults. Although findings are mixed, these age-related patterns are often associated with compensatory mechanisms of cognitive decline even in the absence of direct comparisons between brain activity and cognitive performance. This study investigated the effects of cognitive load on brain-behavior relationships in younger and older adults using a data-driven, multivariate partial least squares (PLS) analysis of functional near-infrared spectroscopy (fNIRS) data. We measured bilateral prefrontal brain activity in 31 older and 27 younger adults while they performed single and dual 2-back tasks. Behavioral PLS analysis was used to determine relationships between performance metrics (reaction time and error rate) and brain oxygenation (HbO) and deoxygenation (HbR) patterns across groups and task loads. Results revealed significant age-group differences in brain-behavior relationships. In younger adults, increased brain activity (i.e., increased HbO and decreased HbR) was associated with faster reaction times and better accuracy in the single task, indicating sufficient neural capacity. Conversely, older adults showed a negative correlation between HbR and error rates in the single task; however, in the dual task, they demonstrated a positive relationship between HbO and performance, indicative of compensatory mechanisms under the higher cognitive load. Overall, older adults' showed relationships with either HbR or HbO, but not both, indicating that the robustness of the relationship between brain activity and behavior varies across task load conditions. Our PLS approach revealed distinct load-dependent brain activity between age groups, providing further insight into neurocognitive aging patterns, such as compensatory mechanisms, by emphasizing the variability and complexity of brain-behavior relationships. Our findings also highlight the importance of considering task complexity and cognitive demands in interpreting age-related brain activity patterns.
Collapse
Affiliation(s)
- Claudia Gonzalez
- Psychology Department, Faculty of Arts, Thompson Rivers University, Kamloops, British Columbia, Canada
| | - Supreeta Ranchod
- Biology Department, Faculty of Science, Thompson Rivers University, Kamloops, British Columbia, Canada
| | - Mark Rakobowchuk
- Biology Department, Faculty of Science, Thompson Rivers University, Kamloops, British Columbia, Canada
| |
Collapse
|
21
|
Wan X, Wu Y, Jiang W, Lu X, Tang Y, Yuan X, Huang L, Hu M. Cortical functional mechanisms in emotional cognitive tasks in first-episode, drug-naïve with major depressive disorder: A fNIRS study. J Affect Disord 2024; 362:698-705. [PMID: 39029670 DOI: 10.1016/j.jad.2024.07.113] [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: 12/01/2023] [Revised: 06/26/2024] [Accepted: 07/16/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND Previous research has revealed that patients with major depressive disorder (MDD) have negative biases in various aspects of information processing, and these biases are mainly manifested in recognizing facial expressions. However, the link between this emotional cognitive inhibition and neural activation mechanisms in cortical brain regions remains poorly understood. Therefore, this study employed functional near-infrared spectroscopy (fNIRS) to explore the potential impaired regions and neural mechanisms associated with facial emotion cognition in MDD patients. METHODS 37 MDD patients and 34 healthy controls (HC) were recruited to participate in three sets of cognitive tasks for emotion recognition, and the cortical activation in the brain was synchronously recorded using multi-channel fNIRS. RESULTS During tasks requiring the motions identification of sad versus happy emotional states, MDD patients exhibit altered activation in both the left frontopolar cortex (FPC) and the right dorsolateral prefrontal cortex (DLPFC). Notably, the FPC demonstrates a higher level of internal coherence and broader correlation with other cortical areas. Moreover, MDD patients showed lower accuracy in distinguishing emotional cues associated with sadness versus those associated with neutral and happy emotions. LIMITATIONS The study had a relatively small sample size, and it specifically examined only three prevalent facial expressions. CONCLUSION Facial expression recognition in MDD patients is characterized by negative cognitive interpretation of expressions, which are associated with various cortical altered activations. Neuroimaging further suggests that the cognitive inhibition of emotion signal recognition in everyday interpersonal interactions in MDD patients may primarily be influenced by activation in the left FPC.
Collapse
Affiliation(s)
- Xin Wan
- First School of Clinical Medicine, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Yunhong Wu
- First School of Clinical Medicine, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Wan Jiang
- First School of Clinical Medicine, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Xuewen Lu
- First School of Clinical Medicine, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Yimiao Tang
- First School of Clinical Medicine, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Xin Yuan
- Department of Psychosomatic Medicine, The 1(st) Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Liping Huang
- Department of Psychosomatic Medicine, The 1(st) Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Maorong Hu
- First School of Clinical Medicine, Jiangxi Medical College, Nanchang University, Nanchang, China; Department of Psychosomatic Medicine, The 1(st) Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
| |
Collapse
|
22
|
Jaquerod ME, Knight RS, Lintas A, Villa AEP. A Dual Role for the Dorsolateral Prefrontal Cortex (DLPFC) in Auditory Deviance Detection. Brain Sci 2024; 14:994. [PMID: 39452008 PMCID: PMC11505713 DOI: 10.3390/brainsci14100994] [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] [Received: 08/08/2024] [Revised: 09/27/2024] [Accepted: 09/27/2024] [Indexed: 10/26/2024] Open
Abstract
BACKGROUND In the oddball paradigm, the dorsolateral prefrontal cortex (DLPFC) is often associated with active cognitive responses, such as maintaining information in working memory or adapting response strategies. While some evidence points to the DLPFC's role in passive auditory deviance perception, a detailed understanding of the spatiotemporal neurodynamics involved remains unclear. METHODS In this study, event-related optical signals (EROS) and event-related potentials (ERPs) were simultaneously recorded for the first time over the prefrontal cortex using a 64-channel electroencephalography (EEG) system, during passive auditory deviance perception in 12 right-handed young adults (7 women and 5 men). In this oddball paradigm, deviant stimuli (a 1500 Hz pure tone) elicited a negative shift in the N1 ERP component, related to mismatch negativity (MMN), and a significant positive deflection associated with the P300, compared to standard stimuli (a 1000 Hz tone). RESULTS We hypothesize that the DLPFC not only participates in active tasks but also plays a critical role in processing deviant stimuli in passive conditions, shifting from pre-attentive to attentive processing. We detected enhanced neural activity in the left middle frontal gyrus (MFG), at the same timing of the MMN component, followed by later activation at the timing of the P3a ERP component in the right MFG. CONCLUSIONS Understanding these dynamics will provide deeper insights into the DLPFC's role in evaluating the novelty or unexpectedness of the deviant stimulus, updating its cognitive value, and adjusting future predictions accordingly. However, the small number of subjects could limit the generalizability of the observations, in particular with respect to the effect of handedness, and additional studies with larger and more diverse samples are necessary to validate our conclusions.
Collapse
Affiliation(s)
- Manon E. Jaquerod
- NeuroHeuristic Research Group, University of Lausanne, Quartier UNIL-Chamberonne, 1015 Lausanne, Switzerland (A.L.)
| | - Ramisha S. Knight
- Beckman Institute, University of Illinois at Urbana-Champaign, 405 N Mathews Ave., Urbana, IL 61801, USA
- Aptima, Inc., 2555 University Blvd, Fairborn, OH 45324, USA
| | - Alessandra Lintas
- NeuroHeuristic Research Group, University of Lausanne, Quartier UNIL-Chamberonne, 1015 Lausanne, Switzerland (A.L.)
- LABEX, HEC Lausanne, University of Lausanne, Quartier UNIL-Chamberonne, 1015 Lausanne, Switzerland
| | - Alessandro E. P. Villa
- NeuroHeuristic Research Group, University of Lausanne, Quartier UNIL-Chamberonne, 1015 Lausanne, Switzerland (A.L.)
| |
Collapse
|
23
|
Gao L, Lin Q, Tian D, Zhu S, Tai X. Advances and trends in the application of functional near-infrared spectroscopy for pediatric assessments: a bibliometric analysis. Front Neurol 2024; 15:1459214. [PMID: 39309263 PMCID: PMC11412835 DOI: 10.3389/fneur.2024.1459214] [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: 07/03/2024] [Accepted: 08/29/2024] [Indexed: 09/25/2024] Open
Abstract
Objective The objective is to elucidate the collaboration and current research status in the pediatric field of fNIRS using bibliometric analysis, and to discuss future directions. Method Bibliometric analysis was conducted on publications related to pediatric fNIRS research published before June 2024 in the Web of Science Core Collection using VOSviewer software and R language. Results A total of 761 documents were retrieved, published by 2,686 authors from 893 institutions across 44 countries in 239 journals. The number of publications has significantly increased since 2012. The United States is the country with the highest number of publications, University College London is the institution with the most publications, Lloyd-Fox Sarah is the author with the most publications and significant influence, and "Neurophotonics" is the journal with the most publications. The current hotspots mainly involve using fNIRS to study executive functions and autism spectrum disorders in children. Conclusion The study provides useful reference information for researchers by analyzing publication numbers, collaborative networks, publishing journals, and research hotspots. In the future, there should be an emphasis on enhancing interdisciplinary and international collaboration to collectively dedicate efforts toward the advancement of fNIRS technology and the standardization of research.
Collapse
Affiliation(s)
- Lin Gao
- First Clinical Medical College, Yunnan University of Chinese Medicine, Kunming, China
| | | | - Dong Tian
- Second Clinical Medical College, Yunnan University of Chinese Medicine, Kunming, China
| | - Siying Zhu
- Second Clinical Medical College, Yunnan University of Chinese Medicine, Kunming, China
| | - Xiantao Tai
- Second Clinical Medical College, Yunnan University of Chinese Medicine, Kunming, China
| |
Collapse
|
24
|
Li Z, Zhang W, Du Y, Zhu W, Soo M. The impact of anger on intertemporal decision-making in individuals with internet addiction: an fNIRS study. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01882-0. [PMID: 39225778 DOI: 10.1007/s00406-024-01882-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 08/13/2024] [Indexed: 09/04/2024]
Abstract
Intertemporal decision-making is the choice between an immediate smaller reward (SS) and a delayed larger reward (LL). Intertemporal decision-making depends on the interaction of the cognitive and emotional systems, and the latter is particularly vital. According to the Appraisal Tendency Frame (ATF) theory, anger influences intertemporal decision-making by increasing an individual's sense of certainty and control. This study examined whether anger affects intertemporal decision-making in individuals with internet addiction (IA) in this manner and investigated its neural mechanisms. Nineteen individuals with IA and 20 healthy controls were recruited. All subjects performed the Monetary choice task under anger and neutral emotions while functional near-infrared spectroscopy (fNIRS) equipment simultaneously recorded the hemodynamics in the prefrontal cortex (PFC). Individuals with IA showed a more considerable delay discount and lower brain activations in the orbitofrontal cortex (OFC) and left dorsolateral prefrontal cortex (L-dlPFC) compared to HC. Moreover, individuals with IA made more LL choices in the angry condition than in the neutral emotion, yet there was no difference in HC. The brain activation in L-dlPFC of individuals with IA tends to increase in the angry condition compared to the neutral condition. These findings revealed that impairment of intertemporal decision-making in individuals with individuals with IA might be related to the dysfunction of OFC and L-dlPFC. Our work also provided initial footing for the applicability of the appraisal tendency frame theory to individuals with IA, and L-dlPFC might play a role in the effects of anger on intertemporal decision-making.
Collapse
Affiliation(s)
- Ziyi Li
- School of Psychology, Central China Normal University, Wuhan, China
- Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China
- Hubei Human Development and Mental Health Key Laboratory (Central China Normal University), Wuhan, China
| | - Wei Zhang
- School of Psychology, Central China Normal University, Wuhan, China.
- Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China.
- Hubei Human Development and Mental Health Key Laboratory (Central China Normal University), Wuhan, China.
| | - Yunjing Du
- School of Psychology, Central China Normal University, Wuhan, China
- Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China
- Hubei Human Development and Mental Health Key Laboratory (Central China Normal University), Wuhan, China
| | - Wanling Zhu
- School of Psychology, Central China Normal University, Wuhan, China
- Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China
- Hubei Human Development and Mental Health Key Laboratory (Central China Normal University), Wuhan, China
| | - Mingchuan Soo
- School of Psychology, Central China Normal University, Wuhan, China
- Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China
- Hubei Human Development and Mental Health Key Laboratory (Central China Normal University), Wuhan, China
| |
Collapse
|
25
|
Xie S, Lu S, Lu J, Gong C, Chang C. Using mindfulness-based intervention to promote executive function in young children: a multivariable and multiscale sample entropy study. Cereb Cortex 2024; 34:bhae330. [PMID: 39235378 PMCID: PMC11375865 DOI: 10.1093/cercor/bhae330] [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: 03/13/2024] [Revised: 07/09/2024] [Accepted: 07/10/2024] [Indexed: 09/06/2024] Open
Abstract
Early childhood marks a pivotal period in the maturation of executive function, the cognitive ability to consciously regulate actions and thoughts. Mindfulness-based interventions have shown promise in bolstering executive function in children. This study used the functional near-infrared spectroscopy technique to explore the impact of mindfulness-based training on young children. Brain imaging data were collected from 68 children (41 boys, aged 61.8 ± 10.7 months) who were randomly assigned to either an intervention group (N = 37, aged 60.03 ± 11.14 months) or a control group (N = 31, aged 59.99 ± 10.89 months). Multivariate and multiscale sample entropy analyses were used. The results showed that: (1) brain complexity was reduced in the intervention group after receiving the mindfulness-based intervention in all three executive function tasks (ps < 0.05), indicating a more efficient neural processing mechanism after the intervention; (2) difference comparisons between the intervention and control groups showed significant differences in relevant brain regions during cognitive shifting (left dorsolateral prefrontal cortex and medial prefrontal cortex) and working memory tasks (left dorsolateral prefrontal cortex), which corroborates with improved behavioral results in the intervention group (Z = -3.674, P < 0.001 for cognitive shifting; Z = 2.594, P < 0.01 for working memory). These findings improve our understanding of early brain development in young children and highlight the neural mechanisms by which mindfulness-based interventions affect executive function. Implications for early intervention to promote young children's brain development are also addressed.
Collapse
Affiliation(s)
- Sha Xie
- Faculty of Education, Shenzhen University, Shenzhen 518055, China
| | - Shuqi Lu
- School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Lihu Campus, Shenzhen 518055, China
| | - Jiahao Lu
- School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Lihu Campus, Shenzhen 518055, China
| | - Chaohui Gong
- School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Lihu Campus, Shenzhen 518055, China
| | - Chunqi Chang
- School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Lihu Campus, Shenzhen 518055, China
- Peng Cheng Laboratory, Shenzhen 518055, China
| |
Collapse
|
26
|
Zhang H, Jiao L, Yang S, Li H, Jiang X, Feng J, Zou S, Xu Q, Gu J, Wang X, Wei B. Brain-computer interfaces: the innovative key to unlocking neurological conditions. Int J Surg 2024; 110:5745-5762. [PMID: 39166947 PMCID: PMC11392146 DOI: 10.1097/js9.0000000000002022] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 07/30/2024] [Indexed: 08/23/2024]
Abstract
Neurological disorders such as Parkinson's disease, stroke, and spinal cord injury can pose significant threats to human mortality, morbidity, and functional independence. Brain-Computer Interface (BCI) technology, which facilitates direct communication between the brain and external devices, emerges as an innovative key to unlocking neurological conditions, demonstrating significant promise in this context. This comprehensive review uniquely synthesizes the latest advancements in BCI research across multiple neurological disorders, offering an interdisciplinary perspective on both clinical applications and emerging technologies. We explore the progress in BCI research and its applications in addressing various neurological conditions, with a particular focus on recent clinical studies and prospective developments. Initially, the review provides an up-to-date overview of BCI technology, encompassing its classification, operational principles, and prevalent paradigms. It then critically examines specific BCI applications in movement disorders, disorders of consciousness, cognitive and mental disorders, as well as sensory disorders, highlighting novel approaches and their potential impact on patient care. This review reveals emerging trends in BCI applications, such as the integration of artificial intelligence and the development of closed-loop systems, which represent significant advancements over previous technologies. The review concludes by discussing the prospects and directions of BCI technology, underscoring the need for interdisciplinary collaboration and ethical considerations. It emphasizes the importance of prioritizing bidirectional and high-performance BCIs, areas that have been underexplored in previous reviews. Additionally, we identify crucial gaps in current research, particularly in long-term clinical efficacy and the need for standardized protocols. The role of neurosurgery in spearheading the clinical translation of BCI research is highlighted. Our comprehensive analysis presents BCI technology as an innovative key to unlocking neurological disorders, offering a transformative approach to diagnosing, treating, and rehabilitating neurological conditions, with substantial potential to enhance patients' quality of life and advance the field of neurotechnology.
Collapse
Affiliation(s)
- Hongyu Zhang
- Department of Neurosurgery, The Fourth Affiliated Hospital of Harbin Medical University
- Harbin Medical University, Harbin
| | - Le Jiao
- Department of Neurosurgery, The First Hospital of Qiqihar, Qiqihar, Heilongjiang Province
| | | | | | | | - Jing Feng
- Department of Neurosurgery, The Fourth Affiliated Hospital of Harbin Medical University
- Harbin Medical University, Harbin
| | - Shuhuai Zou
- Department of Neurosurgery, The Fourth Affiliated Hospital of Harbin Medical University
- Harbin Medical University, Harbin
| | - Qiang Xu
- Department of Neurosurgery, The Fourth Affiliated Hospital of Harbin Medical University
- Harbin Medical University, Harbin
| | - Jianheng Gu
- Department of Neurosurgery, The Fourth Affiliated Hospital of Harbin Medical University
- Harbin Medical University, Harbin
| | - Xuefeng Wang
- Department of Neurosurgery, The Fourth Affiliated Hospital of Harbin Medical University
| | - Baojian Wei
- School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, People's Republic of China
| |
Collapse
|
27
|
Orti R, Coello Y, Ruotolo F, Vincent M, Bartolo A, Iachini T, Ruggiero G. Cortical Correlates of Visuospatial Switching Processes Between Egocentric and Allocentric Frames of Reference: A fNIRS Study. Brain Topogr 2024; 37:712-730. [PMID: 38315347 PMCID: PMC11393019 DOI: 10.1007/s10548-023-01032-0] [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: 07/29/2023] [Accepted: 12/22/2023] [Indexed: 02/07/2024]
Abstract
Human beings represent spatial information according to egocentric (body-to-object) and allocentric (object-to-object) frames of reference. In everyday life, we constantly switch from one frame of reference to another in order to react effectively to the specific needs of the environment and task demands. However, to the best of our knowledge, no study to date has investigated the cortical activity of switching and non-switching processes between egocentric and allocentric spatial encodings. To this aim, a custom-designed visuo-spatial memory task was administered and the cortical activities underlying switching vs non-switching spatial processes were investigated. Changes in concentrations of oxygenated and deoxygenated haemoglobin were measured using functional near-infrared spectroscopy (fNIRS). Participants were asked to memorize triads of geometric objects and then make two consecutive judgments about the same triad. In the non-switching condition, both spatial judgments considered the same frame of reference: only egocentric or only allocentric. In the switching condition, if the first judgment was egocentric, the second one was allocentric (or vice versa). The results showed a generalized activation of the frontal regions during the switching compared to the non-switching condition. Additionally, increased cortical activity was found in the temporo-parietal junction during the switching condition compared to the non-switching condition. Overall, these results illustrate the cortical activity underlying the processing of switching between body position and environmental stimuli, showing an important role of the temporo-parietal junction and frontal regions in the preparation and switching between egocentric and allocentric reference frames.
Collapse
Affiliation(s)
- Renato Orti
- Laboratory of Cognitive Science and Immersive Virtual Reality, CS-IVR, Department of Psychology, University of Campania L. Vanvitelli, Viale Ellittico, 31, 81100, Caserta, Italy
| | - Yann Coello
- UMR 9193, SCALab, Sciences Cognitives et Sciences Affectives, Université de Lille, 59000, Lille, France
| | - Francesco Ruotolo
- Laboratory of Cognitive Science and Immersive Virtual Reality, CS-IVR, Department of Psychology, University of Campania L. Vanvitelli, Viale Ellittico, 31, 81100, Caserta, Italy
| | - Marion Vincent
- UMR 9193, SCALab, Sciences Cognitives et Sciences Affectives, Université de Lille, 59000, Lille, France
| | - Angela Bartolo
- UMR 9193, SCALab, Sciences Cognitives et Sciences Affectives, Université de Lille, 59000, Lille, France
| | - Tina Iachini
- Laboratory of Cognitive Science and Immersive Virtual Reality, CS-IVR, Department of Psychology, University of Campania L. Vanvitelli, Viale Ellittico, 31, 81100, Caserta, Italy
| | - Gennaro Ruggiero
- Laboratory of Cognitive Science and Immersive Virtual Reality, CS-IVR, Department of Psychology, University of Campania L. Vanvitelli, Viale Ellittico, 31, 81100, Caserta, Italy.
| |
Collapse
|
28
|
Sakakibara E, Satomura Y, Matsuoka J, Koike S, Okada N, Sakurada H, Yamagishi M, Kawakami N, Kasai K. Abnormal resting-state hyperconnectivity in schizophrenia: A whole-head near-infrared spectroscopy study. Schizophr Res 2024; 270:121-128. [PMID: 38901208 DOI: 10.1016/j.schres.2024.06.025] [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: 06/08/2023] [Revised: 04/04/2024] [Accepted: 06/15/2024] [Indexed: 06/22/2024]
Abstract
Near-infrared spectroscopy (NIRS) is a noninvasive functional neuroimaging modality that can detect changes in blood oxygenation levels by tracking cortical neural activity. We recorded the resting-state brain activity of 24 individuals with schizophrenia and 90 healthy controls for 8 min using a whole-head NIRS arrangement and then used partial correlation analysis to estimate the resting-state functional connectivity (RSFC) between 17 cortical regions. We found that the RSFC between the bilateral orbitofrontal cortices (OFCs) and between the right temporal and parietal lobes was significantly higher in patients with schizophrenia than in healthy controls. The RSFC between the bilateral OFCs was positively correlated with negative symptom severity, whereas the RSFC between the right temporal and parietal lobes was positively correlated with the chlorpromazine equivalent for antipsychotics prescribed to patients with schizophrenia. This finding was consistent with that for the RSFC calculated using the anterior 52-channel signals. Our results suggest that NIRS-based RSFC measurements have potential clinical applications.
Collapse
Affiliation(s)
- Eisuke Sakakibara
- Department of Neuropsychiatry, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
| | - Yoshihiro Satomura
- Center for Diversity in Medical Education and Research, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Jun Matsuoka
- Department of Neuropsychiatry, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Shinsuke Koike
- Department of Neuropsychiatry, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan; International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan; University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan; Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
| | - Naohiro Okada
- Department of Neuropsychiatry, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan; International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
| | - Hanako Sakurada
- Department of Neuropsychiatry, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Mika Yamagishi
- Department of Neuropsychiatry, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Norito Kawakami
- Department of Digital Mental Health, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan; Center for Diversity in Medical Education and Research, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan; International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan; University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
| |
Collapse
|
29
|
Eken A, Nassehi F, Eroğul O. Diagnostic machine learning applications on clinical populations using functional near infrared spectroscopy: a review. Rev Neurosci 2024; 35:421-449. [PMID: 38308531 DOI: 10.1515/revneuro-2023-0117] [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: 09/23/2023] [Accepted: 01/12/2024] [Indexed: 02/04/2024]
Abstract
Functional near-infrared spectroscopy (fNIRS) and its interaction with machine learning (ML) is a popular research topic for the diagnostic classification of clinical disorders due to the lack of robust and objective biomarkers. This review provides an overview of research on psychiatric diseases by using fNIRS and ML. Article search was carried out and 45 studies were evaluated by considering their sample sizes, used features, ML methodology, and reported accuracy. To our best knowledge, this is the first review that reports diagnostic ML applications using fNIRS. We found that there has been an increasing trend to perform ML applications on fNIRS-based biomarker research since 2010. The most studied populations are schizophrenia (n = 12), attention deficit and hyperactivity disorder (n = 7), and autism spectrum disorder (n = 6) are the most studied populations. There is a significant negative correlation between sample size (>21) and accuracy values. Support vector machine (SVM) and deep learning (DL) approaches were the most popular classifier approaches (SVM = 20) (DL = 10). Eight of these studies recruited a number of participants more than 100 for classification. Concentration changes in oxy-hemoglobin (ΔHbO) based features were used more than concentration changes in deoxy-hemoglobin (ΔHb) based ones and the most popular ΔHbO-based features were mean ΔHbO (n = 11) and ΔHbO-based functional connections (n = 11). Using ML on fNIRS data might be a promising approach to reveal specific biomarkers for diagnostic classification.
Collapse
Affiliation(s)
- Aykut Eken
- Department of Biomedical Engineering, Faculty of Engineering, TOBB University of Economics and Technology, Sogutozu, 06510, Ankara, Türkiye
| | - Farhad Nassehi
- Department of Biomedical Engineering, Faculty of Engineering, TOBB University of Economics and Technology, Sogutozu, 06510, Ankara, Türkiye
| | - Osman Eroğul
- Department of Biomedical Engineering, Faculty of Engineering, TOBB University of Economics and Technology, Sogutozu, 06510, Ankara, Türkiye
| |
Collapse
|
30
|
Shen F, Zhou H. Advances in the etiology and neuroimaging of children with attention deficit hyperactivity disorder. Front Pediatr 2024; 12:1400468. [PMID: 38915870 PMCID: PMC11194347 DOI: 10.3389/fped.2024.1400468] [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: 03/13/2024] [Accepted: 05/20/2024] [Indexed: 06/26/2024] Open
Abstract
Attention deficit hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder in children, characterized by age-inappropriate inattention, hyperactivity, and impulsivity, which can cause extensive damage to children's academic, occupational, and social skills. This review will present current advancements in the field of attention deficit hyperactivity disorder, including genetics, environmental factors, epigenetics, and neuroimaging features. Simultaneously, we will discuss the highlights of promising directions for further study.
Collapse
Affiliation(s)
| | - Hui Zhou
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, Chengdu, China
| |
Collapse
|
31
|
Xu E, Vanegas M, Mireles M, Dementyev A, Yucel M, Carp S, Fang Q. Flexible-circuit-based 3-D aware modular optical brain imaging system for high-density measurements in natural settings. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.01.24302838. [PMID: 38496598 PMCID: PMC10942511 DOI: 10.1101/2024.03.01.24302838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Significance Functional near-infrared spectroscopy (fNIRS) presents an opportunity to study human brains in everyday activities and environments. However, achieving robust measurements under such dynamic condition remains a significant challenge. Aim The modular optical brain imaging (MOBI) system is designed to enhance optode-to-scalp coupling and provide real-time probe 3-D shape estimation to improve the use of fNIRS in everyday conditions. Approach The MOBI system utilizes a bendable and lightweight modular circuit-board design to enhance probe conformity to head surfaces and comfort for long-term wearability. Combined with automatic module connection recognition, the built-in orientation sensors on each module can be used to estimate optode 3-D positions in real-time to enable advanced tomographic data analysis and motion tracking. Results Optical characterization of the MOBI detector reports a noise equivalence power (NEP) of 8.9 and 7.3 pW / H z at 735 nm and 850 nm, respectively, with a dynamic range of 88 dB. The 3-D optode shape acquisition yields an average error of 4.2 mm across 25 optodes in a phantom test compared to positions acquired from a digitizer. Results for initial in vivo validations, including a cuff occlusion and a finger-tapping test, are also provided. Conclusions To the best of our knowledge, the MOBI system is the first modular fNIRS system featuring fully flexible circuit boards. The self-organizing module sensor network and automatic 3-D optode position acquisition, combined with lightweight modules (18 g/module) and ergonomic designs, would greatly aid emerging explorations of brain function in naturalistic settings.
Collapse
Affiliation(s)
- Edward Xu
- Northeastern University, Department of Bioengineering, 360 Huntington Avenue, Boston, USA, 02115
| | - Morris Vanegas
- Northeastern University, Department of Bioengineering, 360 Huntington Avenue, Boston, USA, 02115
| | - Miguel Mireles
- Northeastern University, Department of Bioengineering, 360 Huntington Avenue, Boston, USA, 02115
| | - Artem Dementyev
- Massachusetts Institute of Technology, Media Lab, 77 Massachusetts Avenue, Cambridge, USA, 02139
| | - Meryem Yucel
- Boston University, Neurophotonics Center, 233 Bay State Road, Boston, USA, 02215
| | - Stefan Carp
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, 149 13th St, Boston, USA, 02129
| | - Qianqian Fang
- Northeastern University, Department of Bioengineering, 360 Huntington Avenue, Boston, USA, 02115
| |
Collapse
|
32
|
MacLennan RJ, Hernandez-Sarabia JA, Reese SM, Shields JE, Smith CM, Stute K, Collyar J, Olmos AA, Danielson TL, MacLennan DL, Pagan JI, Girts RM, Harmon KK, Coker N, Carr JC, Ye X, Perry JW, Stock MS, DeFreitas JM. fNIRS is capable of distinguishing laterality of lower body contractions. Exp Brain Res 2024; 242:1115-1126. [PMID: 38483567 DOI: 10.1007/s00221-024-06798-8] [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: 08/01/2023] [Accepted: 01/31/2024] [Indexed: 07/13/2024]
Abstract
The use of functional near-infrared spectroscopy (fNIRS) for brain imaging during human movement continues to increase. This technology measures brain activity non-invasively using near-infrared light, is highly portable, and robust to motion artifact. However, the spatial resolution of fNIRS is lower than that of other imaging modalities. It is unclear whether fNIRS has sufficient spatial resolution to differentiate nearby areas of the cortex, such as the leg areas of the motor cortex. Therefore, the purpose of this study was to determine fNIRS' ability to discern laterality of lower body contractions. Activity in the primary motor cortex was recorded in forty participants (mean = 23.4 years, SD = 4.5, female = 23, male = 17) while performing unilateral lower body contractions. Contractions were performed at 30% of maximal force against a handheld dynamometer. These contractions included knee extension, knee flexion, dorsiflexion, and plantar flexion of the left and right legs. fNIRS signals were recorded and stored for offline processing and analysis. Channels of fNIRS data were grouped into regions of interest, with five tolerance conditions ranging from strict to lenient. Four of five tolerance conditions resulted in significant differences in cortical activation between hemispheres. During right leg contractions, the left hemisphere was more active than the right hemisphere. Similarly, during left leg contractions, the right hemisphere was more active than the left hemisphere. These results suggest that fNIRS has sufficient spatial resolution to distinguish laterality of lower body contractions. This makes fNIRS an attractive technology in research and clinical applications in which laterality of brain activity is required during lower body activity.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Xin Ye
- University of Hartford, West Hartford, USA
| | | | | | | |
Collapse
|
33
|
Xu S, Zeng X, Yin F, Zhang C. Validating the reproducibility of a low-cost single-channel fNIRS device across hierarchical cognitive tasks. Front Neurosci 2024; 18:1351341. [PMID: 38721045 PMCID: PMC11076663 DOI: 10.3389/fnins.2024.1351341] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 03/25/2024] [Indexed: 01/06/2025] Open
Abstract
This study evaluates a low-cost, single-channel fNIRS device in cognitive neuroscience, aiming to overcome the financial barriers of commercial systems by testing its efficacy in tasks of varying complexity. Twenty-six participants engaged in motor control (finger-tapping), working memory (n-back), and creativity (AUT) tasks while their prefrontal cortex activity was monitored using the device, with behavioral and cerebral blood flow changes recorded. Results showed the device's capability to detect significant blood flow variations across different tasks, thereby supporting its use in cognitive research. The study confirms the potential of single-channel fNIRS as a cost-effective tool for diverse cognitive assessments, from simple motor actions to complex creative thinking.
Collapse
Affiliation(s)
- Shiyang Xu
- Faculty of Education Science, Shanxi Normal University, Taiyuan, China
| | - XingLing Zeng
- Faculty of Health Sciences, University of Macau, Macau, Macao SAR, China
- Centre for Brain and Cognitive Sciences, University of Macau, Macau, Macao SAR, China
| | - Fuxian Yin
- Faculty of Medicine, Macau University of Science and Technology, Macau, Macao SAR, China
| | - Chao Zhang
- Faculty of Education Science, Shanxi Normal University, Taiyuan, China
| |
Collapse
|
34
|
Xiao R, Xu P, Liang XL, Zou Z, Zhong JG, Xiang MQ, Hou XH. Effects of the special olympics unified sports soccer training program on executive function in adolescents with intellectual disabilities. J Exerc Sci Fit 2024; 22:103-110. [PMID: 38268818 PMCID: PMC10806089 DOI: 10.1016/j.jesf.2023.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 12/09/2023] [Accepted: 12/18/2023] [Indexed: 01/26/2024] Open
Affiliation(s)
- Rang Xiao
- Guangzhou Sport University, Guangzhou, China
| | - Ping Xu
- Department of Educational Psychology, School of Leisure Sports and Management, Guangzhou Sport University, Guangzhou, China
| | - Xue-Lian Liang
- Department of Sports and Health, Guangzhou Sport University, Guangzhou, China
| | - Zhi Zou
- Department of Sports and Health, Guangzhou Sport University, Guangzhou, China
| | - Jiu-Gen Zhong
- Department of Sports and Health, Guangzhou Sport University, Guangzhou, China
- Shanghai University of Sport, Shanghai, China
| | - Ming-Qiang Xiang
- Department of Sports and Health, Guangzhou Sport University, Guangzhou, China
| | - Xiao-Hui Hou
- Department of Sports and Health, Guangzhou Sport University, Guangzhou, China
- Shanghai University of Sport, Shanghai, China
| |
Collapse
|
35
|
Çakar T, Son-Turan S, Girişken Y, Sayar A, Ertuğrul S, Filiz G, Tuna E. Unlocking the neural mechanisms of consumer loan evaluations: an fNIRS and ML-based consumer neuroscience study. Front Hum Neurosci 2024; 18:1286918. [PMID: 38375365 PMCID: PMC10875049 DOI: 10.3389/fnhum.2024.1286918] [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: 08/31/2023] [Accepted: 01/11/2024] [Indexed: 02/21/2024] Open
Abstract
Introduction This study conducts a comprehensive exploration of the neurocognitive processes underlying consumer credit decision-making using cutting-edge techniques from neuroscience and machine learning (ML). Employing functional Near-Infrared Spectroscopy (fNIRS), the research examines the hemodynamic responses of participants while evaluating diverse credit offers. Methods The experimental phase of this study investigates the hemodynamic responses collected from 39 healthy participants with respect to different loan offers. This study integrates fNIRS data with advanced ML algorithms, specifically Extreme Gradient Boosting, CatBoost, Extra Tree Classifier, and Light Gradient Boosted Machine, to predict participants' credit decisions based on prefrontal cortex (PFC) activation patterns. Results Findings reveal distinctive PFC regions correlating with credit behaviors, including the dorsolateral prefrontal cortex (dlPFC) associated with strategic decision-making, the orbitofrontal cortex (OFC) linked to emotional valuations, and the ventromedial prefrontal cortex (vmPFC) reflecting brand integration and reward processing. Notably, the right dorsomedial prefrontal cortex (dmPFC) and the right vmPFC contribute to positive credit preferences. Discussion This interdisciplinary approach bridges neuroscience, machine learning and finance, offering unprecedented insights into the neural mechanisms guiding financial choices regarding different loan offers. The study's predictive model holds promise for refining financial services and illuminating human financial behavior within the burgeoning field of neurofinance. The work exemplifies the potential of interdisciplinary research to enhance our understanding of human financial decision-making.
Collapse
Affiliation(s)
- Tuna Çakar
- Department of Computer Engineering, MEF University, Istanbul, Türkiye
| | - Semen Son-Turan
- Department of Business Administration, MEF University, Maslak, Türkiye
| | - Yener Girişken
- Faculty of Economics and Administrative Sciences, Final International University, Istanbul, Türkiye
| | - Alperen Sayar
- Informatics Technologies Master Program, MEF University, Istanbul, Türkiye
| | - Seyit Ertuğrul
- Informatics Technologies Master Program, MEF University, Istanbul, Türkiye
| | - Gözde Filiz
- Computer Science and Engineering Ph.D. Program, MEF University, Istanbul, Türkiye
| | - Esin Tuna
- Department of Psychology, MEF University, Istanbul, Türkiye
| |
Collapse
|
36
|
Lai B, Yi A, Zhang F, Wang S, Xin J, Li S, Yu L. Atypical brain lateralization for speech processing at the sublexical level in autistic children revealed by fNIRS. Sci Rep 2024; 14:2776. [PMID: 38307983 PMCID: PMC10837203 DOI: 10.1038/s41598-024-53128-7] [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: 08/10/2023] [Accepted: 01/29/2024] [Indexed: 02/04/2024] Open
Abstract
Autistic children often exhibit atypical brain lateralization of language processing, but it is unclear what aspects of language contribute to this phenomenon. This study employed functional near-infrared spectroscopy to measure hemispheric lateralization by estimating hemodynamic responses associated with processing linguistic and non-linguistic auditory stimuli. The study involved a group of autistic children (N = 20, mean age = 5.8 years) and a comparison group of nonautistic peers (N = 20, mean age = 6.5 years). The children were presented with stimuli with systematically decreasing linguistic relevance: naturalistic native speech, meaningless native speech with scrambled word order, nonnative speech, and music. The results revealed that both groups showed left lateralization in the temporal lobe when listening to naturalistic native speech. However, the distinction emerged between autism and nonautistic in terms of processing the linguistic hierarchy. Specifically, the nonautistic comparison group demonstrated a systematic reduction in left lateralization as linguistic relevance decreased. In contrast, the autism group displayed no such pattern and showed no lateralization when listening to scrambled native speech accompanied by enhanced response in the right hemisphere. These results provide evidence of atypical neural specialization for spoken language in preschool- and school-age autistic children and shed new light on the underlying linguistic correlates contributing to such atypicality at the sublexical level.
Collapse
Affiliation(s)
- Baojun Lai
- Center for Autism Research, School of Education, Guangzhou University, Guangzhou, China
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China
- Tiyudong Road Primary School (Xingguo), Guangzhou, China
| | - Aiwen Yi
- Department of Obstetrics and Gynecology, Department of Pediatrics; Guangdong Provincial Key Laboratory of Major 0bstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Laboratory of Maternal-Fetal Joint Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Fen Zhang
- VITO Health, Flemish Institute for Technological Research, Mol, Belgium
| | - Suiping Wang
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China
| | - Jing Xin
- Foshan Clinical Medical School, Guangzhou University of Chinese Medicine, Foshan, China
| | - Suping Li
- Foshan Clinical Medical School, Guangzhou University of Chinese Medicine, Foshan, China
| | - Luodi Yu
- Center for Autism Research, School of Education, Guangzhou University, Guangzhou, China.
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China.
| |
Collapse
|
37
|
Vera DA, García HA, Carbone NA, Waks-Serra MV, Iriarte DI, Pomarico JA. Retrieval of chromophore concentration changes in a digital human head model using analytical mean partial pathlengths of photons. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:025004. [PMID: 38419755 PMCID: PMC10901244 DOI: 10.1117/1.jbo.29.2.025004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/25/2024] [Accepted: 01/26/2024] [Indexed: 03/02/2024]
Abstract
Significance Continuous-wave functional near-infrared spectroscopy has proved to be a valuable tool for assessing hemodynamic activity in the human brain in a non-invasively and inexpensive way. However, most of the current processing/analysis methods assume the head is a homogeneous medium, and hence do not appropriately correct for the signal coming from the scalp. This effect can be reduced by considering light propagation in a layered model of the human head, being the Monte Carlo (MC) simulations the gold standard to this end. However, this implies large computation times and demanding hardware capabilities. Aim In this work, we study the feasibility of replacing the homogeneous model and the MC simulations by means of analytical multilayered models, combining in this way, the speed and simplicity of implementation of the former with the robustness and accuracy of the latter. Approach Oxy- and deoxyhemoglobin (HbO and HbR, respectively) concentration changes were proposed in two different layers of a magnetic resonance imaging (MRI)-based meshed model of the human head, and then these changes were retrieved by means of (i) a typical homogeneous reconstruction and (ii) a theoretical layered reconstruction. Results Results suggest that the use of analytical models of light propagation in layered models outperforms the results obtained using traditional homogeneous reconstruction algorithms, providing much more accurate results for both, the extra- and the cerebral tissues. We also compare the analytical layered reconstruction with MC-based reconstructions, achieving similar degrees of accuracy, especially in the gray matter layer, but much faster (between 4 and 5 orders of magnitude). Conclusions We have successfully developed, implemented, and validated a method for retrieving chromophore concentration changes in the human brain, combining the simplicity and speed of the traditional homogeneous reconstruction algorithms with robustness and accuracy much more similar to those provided by MC simulations.
Collapse
|
38
|
Draghici AE, Ely MR, Hamner JW, Taylor JA. Nitric oxide-mediated vasodilation in human bone. Microcirculation 2024; 31:e12842. [PMID: 38133925 PMCID: PMC10922487 DOI: 10.1111/micc.12842] [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: 08/10/2023] [Revised: 11/20/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVE Regulation of blood flow to bone is critical but poorly understood, particularly in humans. This study aims to determine whether nitric oxide (NO), a major regulator of vascular tone to other tissues, contributes also to the regulation of blood flow to bone. METHODS In young healthy adults (n = 16, 8F, 8M), we characterized NO-mediated vasodilation in the tibia in response to sublingual nitroglycerin and contrasted it to lower leg. Blood flow responses were assessed in supine individuals by continuously measuring tibial total hemoglobin (tHb) via near-infrared spectroscopy and lower leg blood flow (LBF) as popliteal flow velocity via Doppler ultrasound in the same leg. RESULTS LBF increased by Δ9.73 ± 0.66 cm/s and peaked 4.4 min after NO administration and declined slowly but remained elevated (Δ3.63 ± 0.60 cm/s) at 10 min. In contrast, time to peak response was longer and smaller in magnitude in the tibia as tHb increased Δ2.08 ± 0.22 μM and peaked 5.3 min after NO administration and declined quickly but remained elevated (Δ0.87±0.22 μM) at 10 min (p = .01). CONCLUSIONS In young adults, the tibial vasculature demonstrates robust NO-mediated vasodilation, but tHb is delayed and diminishes faster compared to LBF, predominately reflective of skeletal muscle responses. Thus, NO-mediated vasodilation in bone may be characteristically different from other vascular beds.
Collapse
Affiliation(s)
- Adina E. Draghici
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA
- Cardiovascular Research Laboratory, Spaulding Hospital Cambridge, Cambridge, MA
- Schoen Adams Research Institute at Spaulding Rehabilitation, Boston, MA
| | - Matthew R. Ely
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA
- Cardiovascular Research Laboratory, Spaulding Hospital Cambridge, Cambridge, MA
- Schoen Adams Research Institute at Spaulding Rehabilitation, Boston, MA
| | - Jason W. Hamner
- Cardiovascular Research Laboratory, Spaulding Hospital Cambridge, Cambridge, MA
- Schoen Adams Research Institute at Spaulding Rehabilitation, Boston, MA
| | - J. Andrew Taylor
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA
- Cardiovascular Research Laboratory, Spaulding Hospital Cambridge, Cambridge, MA
- Schoen Adams Research Institute at Spaulding Rehabilitation, Boston, MA
| |
Collapse
|
39
|
Gemignani J, Gervain J. Brain responses to repetition-based rule-learning do not exhibit sex differences: an aggregated analysis of infant fNIRS studies. Sci Rep 2024; 14:2611. [PMID: 38297068 PMCID: PMC10831066 DOI: 10.1038/s41598-024-53092-2] [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: 06/06/2023] [Accepted: 01/27/2024] [Indexed: 02/02/2024] Open
Abstract
Studies have repeatedly shown sex differences in some areas of language development, typically with an advantage for female over male children. However, the tested samples are typically small and the effects do not always replicate. Here, we used a meta-analytic approach to address this issue in a larger sample, combining seven fNIRS studies on the neural correlates of repetition- and non-repetition-based rule learning in newborns and 6-month-old infants. The ability to extract structural regularities from the speech input is fundamental for language development, it is therefore highly relevant to understand whether this ability shows sex differences. The meta-analysis tested the effect of Sex, as well as of other moderators on infants' hemodynamic responses to repetition-based (e.g. ABB: "mubaba") and non-repetition-based (e.g. ABC: "mubage") sequences in both anatomically and functionally defined regions of interests. Our analyses did not reveal any sex differences at birth or at 6 months, suggesting that the ability to encode these regularities is robust across sexes. Interestingly, the meta-analysis revealed other moderator effects. Thus in newborns, we found a greater involvement of the bilateral temporal areas compared to the frontal areas for both repetition and non-repetition sequences. Further, non-repetition sequences elicited greater responses in 6-month-olds than in newborns, especially in the bilateral frontal areas. When analyzing functional clusters of HbR timetraces, we found that a larger right-left asymmetry for newborn boys in brain responses compared to girls, which may be interpreted in terms of a larger right-left asymmetry in cerebral blood flow in boys than in girls early in life. We conclude that extracting repetition-based regularities from speech is a robust ability with a well-defined neural substrate present from birth and it does not exhibit sex differences.
Collapse
Affiliation(s)
- Jessica Gemignani
- Department of Developmental and Social Psychology, University of Padua, Via Venezia 8, 35131, Padua, Italy.
- Padova Neuroscience Center, University of Padua, Padua, Italy.
| | - Judit Gervain
- Department of Developmental and Social Psychology, University of Padua, Via Venezia 8, 35131, Padua, Italy
- Padova Neuroscience Center, University of Padua, Padua, Italy
- Integrative Neuroscience and Cognition Center, CNRS &, Université Paris Cité, Paris, France
| |
Collapse
|
40
|
Roger K, Vannasing P, Tremblay J, Bringas Vega ML, Bryce CP, Rabinowitz A, Valdes-Sosa PA, Galler JR, Gallagher A. Early childhood malnutrition impairs adult resting brain function using near-infrared spectroscopy. Front Hum Neurosci 2024; 17:1287488. [PMID: 38298205 PMCID: PMC10827877 DOI: 10.3389/fnhum.2023.1287488] [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: 09/01/2023] [Accepted: 12/15/2023] [Indexed: 02/02/2024] Open
Abstract
Introduction Early childhood malnutrition affects 200+ million children under 5 years of age worldwide and is associated with persistent cognitive, behavioral and psychiatric impairments in adulthood. However, very few studies have investigated the long-term effects of childhood protein-energy malnutrition (PEM) on brain function using a functional hemodynamic brain imaging technique. Objective and methods This study aims to investigate functional brain network alterations using near infrared spectroscopy (NIRS) in adults, aged 45-51 years, from the Barbados Nutrition Study (BNS) who suffered from a single episode of malnutrition restricted to their first year of life (n = 26) and controls (n = 29). A total of 55 individuals from the BNS cohort underwent NIRS recording at rest. Results and discussion Using functional connectivity and permutation analysis, we found patterns of increased Pearson's correlation with a specific vulnerability of the frontal cortex in the PEM group (ps < 0.05). Using a graph theoretical approach, mixed ANCOVAs showed increased segregation (ps = 0.0303 and 0.0441) and decreased integration (p = 0.0498) in previously malnourished participants compared to healthy controls. These results can be interpreted as a compensatory mechanism to preserve cognitive functions, that could also be related to premature or pathological brain aging. To our knowledge, this study is the first NIRS neuroimaging study revealing brain function alterations in middle adulthood following early childhood malnutrition limited to the first year of life.
Collapse
Affiliation(s)
- Kassandra Roger
- LION Lab, Sainte-Justine University Hospital Research Center, University of Montreal, Montreal, QC, Canada
| | - Phetsamone Vannasing
- LION Lab, Sainte-Justine University Hospital Research Center, University of Montreal, Montreal, QC, Canada
| | - Julie Tremblay
- LION Lab, Sainte-Justine University Hospital Research Center, University of Montreal, Montreal, QC, Canada
| | - Maria L. Bringas Vega
- MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | | | - Arielle Rabinowitz
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Pedro Antonio Valdes-Sosa
- MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - Janina R. Galler
- Division of Pediatric Gastroenterology and Nutrition, MassGeneral Hospital for Children, Boston, MA, United States
| | - Anne Gallagher
- LION Lab, Sainte-Justine University Hospital Research Center, University of Montreal, Montreal, QC, Canada
| |
Collapse
|
41
|
Xue F, Knight S, Connolly E, O’Halloran A, Shirsath MA, Newman L, Duggan E, Kenny RA, Romero-Ortuno R. Were Frailty Identification Criteria Created Equal? A Comparative Case Study on Continuous Non-Invasively Collected Neurocardiovascular Signals during an Active Standing Test in the Irish Longitudinal Study on Ageing (TILDA). SENSORS (BASEL, SWITZERLAND) 2024; 24:442. [PMID: 38257535 PMCID: PMC10818961 DOI: 10.3390/s24020442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 12/22/2023] [Accepted: 12/27/2023] [Indexed: 01/24/2024]
Abstract
BACKGROUND In this observational study, we compared continuous physiological signals during an active standing test in adults aged 50 years and over, characterised as frail by three different criteria, using data from The Irish Longitudinal Study on Ageing (TILDA). METHODS This study utilised data from TILDA, an ongoing landmark prospective cohort study of community-dwelling adults aged 50 years or older in Ireland. The initial sampling strategy in TILDA was based on random geodirectory sampling. Four independent groups were identified: those characterised as frail only by one of the frailty tools used (the physical Frailty Phenotype (FP), the 32-item Frailty Index (FI), or the Clinical Frailty Scale (CFS) classification tree), and a fourth group where participants were not characterised as frail by any of these tools. Continuous non-invasive physiological signals were collected during an active standing test, including systolic (sBP) and diastolic (dBP) blood pressure, as well as heart rate (HR), using digital artery photoplethysmography. Additionally, the frontal lobe cerebral oxygenation (Oxy), deoxygenation (Deoxy), and tissue saturation index (TSI) were also non-invasively measured using near-infrared spectroscopy (NIRS). The signals were visualised across frailty groups and statistically compared using one-dimensional statistical parametric mapping (SPM). RESULTS A total of 1124 participants (mean age of 63.5 years; 50.2% women) were included: 23 were characterised as frail only by the FP, 97 by the FI, 38 by the CFS, and 966 by none of these criteria. The SPM analyses revealed that only the group characterised as frail by the FI had significantly different signals (p < 0.001) compared to the non-frail group. Specifically, they exhibited an attenuated gain in HR between 10 and 15 s post-stand and larger deficits in sBP and dBP between 15 and 20 s post-stand. CONCLUSIONS The FI proved to be more adept at capturing distinct physiological responses to standing, likely due to its direct inclusion of cardiovascular morbidities in its definition. Significant differences were observed in the dynamics of cardiovascular signals among the frail populations identified by different frailty criteria, suggesting that caution should be taken when employing frailty identification tools on physiological signals, particularly the neurocardiovascular signals in an active standing test.
Collapse
Affiliation(s)
- Feng Xue
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Silvin Knight
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Emma Connolly
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Aisling O’Halloran
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Morgana Afonso Shirsath
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Louise Newman
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Eoin Duggan
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Rose Anne Kenny
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Roman Romero-Ortuno
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
- The Irish Longitudinal Study on Ageing (TILDA), Trinity College Dublin, D02 PN40 Dublin, Ireland
| |
Collapse
|
42
|
Teo WP, Tan CX, Goodwill AM, Mohammad S, Ang YX, Latella C. Brain activation associated with low- and high-intensity concentric versus eccentric isokinetic contractions of the biceps brachii: An fNIRS study. Scand J Med Sci Sports 2024; 34:e14499. [PMID: 37732821 DOI: 10.1111/sms.14499] [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: 05/15/2023] [Revised: 07/25/2023] [Accepted: 09/11/2023] [Indexed: 09/22/2023]
Abstract
Studies have shown that neural responses following concentric (CON) and eccentric (ECC) muscle contractions are different, which suggests differences in motor control associated with CON and ECC contractions. This study aims to determine brain activation of the left primary motor cortex (M1) and left and right dorsolateral prefrontal cortices (DLPFCs) during ECC and CON of the right bicep brachii (BB) muscle at low- and high-contraction intensities. Eighteen young adults (13M/5F, 21-35 years) were recruited to participate in one familiarization and two testing sessions in a randomized crossover design. During each testing session, participants performed either ECC or CON contractions of the BB (3 sets × 8 reps) at low- (25% of maximum ECC/CON, 45°/s) and high-intensity (75% of maximum ECC/CON, 45°/s) on an isokinetic dynamometer. Eleven-channel functional near-infrared spectroscopy was used to measure changes in oxyhemoglobin (O2 Hb) from the left M1, and left and right DLPFC during ECC and CON contractions. Maximum torque for ECC was higher than CON (43.3 ± 14.1 vs. 46.2 ± 15.7 N m, p = 0.025); however, no differences in O2 Hb were observed between contraction types at low or high intensities in measured brain regions. High-intensity ECC and CON contractions resulted in greater increases in O2 Hb of M1 and bilateral DLPFC compared to low-intensity ECC and CON contractions (p = 0.014). Our findings suggest no differences in O2 Hb responses between contraction types at high and low intensities. High-contraction intensities resulted in greater brain activation of the M1 and bilateral DLPFC, which may have implications for neurorehabilitation to increase central adaptations from exercise.
Collapse
Affiliation(s)
- Wei-Peng Teo
- Physical Education and Sport Science Academic Group, National Institute of Education, Nanyang Technological University, Singapore, Singapore
| | - Clara Xinru Tan
- Physical Education and Sport Science Academic Group, National Institute of Education, Nanyang Technological University, Singapore, Singapore
| | - Alicia M Goodwill
- Physical Education and Sport Science Academic Group, National Institute of Education, Nanyang Technological University, Singapore, Singapore
| | - Saqif Mohammad
- Physical Education and Sport Science Academic Group, National Institute of Education, Nanyang Technological University, Singapore, Singapore
| | - Yi-Xuan Ang
- Physical Education and Sport Science Academic Group, National Institute of Education, Nanyang Technological University, Singapore, Singapore
| | - Christopher Latella
- Neurophysiology Research Laboratory, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
- School of Medical and Health Sciences, Centre for Human Performance, Edith Cowan University, Perth, Western Australia, Australia
| |
Collapse
|
43
|
Fu X, Li H, Yang W, Li X, Lu L, Guo H, Guo K, Huang Z. Electroacupuncture at HT5 + GB20 promotes brain remodeling and significantly improves swallowing function in patients with stroke. Front Neurosci 2023; 17:1274419. [PMID: 38027487 PMCID: PMC10656700 DOI: 10.3389/fnins.2023.1274419] [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: 08/08/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Background This study compared the differences in the degree of brain activation, and swallowing function scales in patients with post-stroke dysphagia after treatment. We explored the mechanism of cortical remodeling and the improvement effect of electroacupuncture on swallowing function in patients and provided a theoretical basis for the clinical application of electroacupuncture. Methods Fifty patients with post-stroke dysphagia were randomized to the control or electroacupuncture group. The control group underwent conventional swallowing rehabilitation for 30 min each time for 12 sessions. In the electroacupuncture group, electroacupuncture was performed based on conventional swallowing rehabilitation for 30 min each time for 12 sessions. Cortical activation tests and swallowing function assessments were performed before and after treatment. Statistical analyses were used to investigate the differences within and between the two groups to explore the treatment effects. Results There were no statistical differences in clinical characteristics and baseline data between the two groups before treatment. Cortical activation and swallowing function were improved to different degrees in both groups after treatment compared with before treatment. After treatment, the electroacupuncture group showed higher LPM (t = 4.0780, p < 0.001) and RPM (t = 4.4026, p < 0.0001) cortical activation and tighter functional connectivity between RS1 and LM1 (t = 2.5336, p < 0.05), RM1 and LPM (t = 3.5339, p < 0.001), RPM and LM1 (t = 2.5302, p < 0.05), and LM1 and LPM (t = 2.9254, p < 0.01) compared with the control group. Correspondingly, the improvement in swallowing function was stronger in the electroacupuncture group than in the control group (p < 0.05). Conclusion This study demonstrated that electroacupuncture based on conventional treatment activated more of the cerebral cortex associated with swallowing and promoted functional connectivity and remodeling of the brain. Accompanying the brain remodeling, patients in the electroacupuncture group also showed greater improvement in swallowing function. Clinical trial registration ClinicalTrials.gov, ChiCTR2300067457.
Collapse
Affiliation(s)
- Xuefeng Fu
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
- Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, China
| | - Hao Li
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
- Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, China
| | - Wen Yang
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
- Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, China
| | - Xuezheng Li
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Lijun Lu
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Hua Guo
- Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, China
| | - Kaifeng Guo
- Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, China
| | - Zhen Huang
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
- Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, China
| |
Collapse
|
44
|
Fu X, Li H, Yang W, Li X, Lu L, Guo H, Wu Z, Guo K, Xu H, Huang Z. Electroacupuncture at HT5 + GB20 produces stronger activation effect on swallowing cortex and muscle than single points. Heliyon 2023; 9:e21922. [PMID: 38034817 PMCID: PMC10682618 DOI: 10.1016/j.heliyon.2023.e21922] [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: 04/17/2023] [Revised: 08/25/2023] [Accepted: 10/31/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction This study aimed to investigate the effects of electroacupuncture on cortical activation and swallowing muscle groups. The study examined brain activation in healthy subjects performing swallowing tasks during electroacupuncture. Additionally, the study analyzed electromyographic signals of swallowing muscle groups after electroacupuncture. Methods Twenty-seven healthy subjects were randomly separated into three groups. They underwent electroacupuncture at HT5 acupoint (HT5 group), or GB20 acupoint (GB20 group), or HT5 + GB20 acupoint (HT5 + GB20 group) for 30 min of intervention. Subjects performed a swallowing task while receiving electroacupuncture. Functional near-infrared spectroscopy (fNIRS) was used to detect cortical activation and functional connectivity (FC). The mean amplitude values of the swallowing muscle groups after electroacupuncture were also measured. Statistical analysis was used to investigate the differences between the three groups. The protocol was registered with the China Clinical Trials Registry with the registration number ChiCTR2300067457. Results Compared with the HT5 group, the HT5 + GB20 group showed higher cortical activation in the LM1 (t = 2.842, P < 0.05) and a tighter FC in the RM1 and LM1 (t = 2.4629, P < 0.05) with considerably increased mean amplitude values of the swallowing muscle groups (t = 5.2474, P < 0.0001). Increased FC was found in the HT5 + GB20 group compared to the GB20 group between the RM1 and RS1 (t = 2.9997, P < 0.01), RM1 and RPM (t = 2.2116, P < 0.05), RM1 and LM1 (t = 3.2078, P < 0.01), RPM and LM1 (t = 2.7440, P < 0.05). However, there were no statistically significant differences in cortical activation or mean amplitude values of swallowing muscle groups. Conclusion This study showed that electroacupuncture at HT5 + GB20 acupoints particularly engaged the cerebral cortex related to swallowing, resulting in tighter functional connectivity and higher amplitude values of swallowing muscle groups than electroacupuncture at single acupoints. The results may reveal the mechanism of electroacupuncture for post-stroke swallowing dysphagia.
Collapse
Affiliation(s)
- Xuefeng Fu
- Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, 511400, China
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510006, China
| | - Hao Li
- Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, 511400, China
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510006, China
| | - Wen Yang
- Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, 511400, China
| | - Xuezheng Li
- Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, 511400, China
| | - Lijun Lu
- Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, 511400, China
| | - Hua Guo
- Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, 511400, China
| | - Zhehao Wu
- Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, 511400, China
| | - Kaifeng Guo
- Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, 511400, China
| | - Haoming Xu
- South China Normal University, Guangzhou, Guangdong, 510631, China
| | - Zhen Huang
- Department of Rehabilitation Medicine, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong, 511400, China
- Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510006, China
| |
Collapse
|
45
|
Sorkpor SK, Montero-Hernandez S, Miao H, Pollonini L, Ahn H. Assessing the impact of preferred web app-based music-listening on pain processing at the central nervous level in older black adults with low back pain: An fNIRS study. Geriatr Nurs 2023; 54:135-143. [PMID: 37782976 DOI: 10.1016/j.gerinurse.2023.09.005] [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: 07/12/2023] [Revised: 09/01/2023] [Accepted: 09/05/2023] [Indexed: 10/04/2023]
Abstract
BACKGROUND Low back pain (LBP) disproportionately affects older black adults, often leading to inadequate treatment due to clinician biases. Objective pain measures are imperative, and Functional Near-Infrared Spectroscopy (fNIRS) shows promise for pain detection. AIM To determine the impact of listening to home-based preferred web app-based music on underlying pain processing mechanisms at the central nervous level in older black adults aged ≥65 with LBP. METHODS Twenty older black adults with LBP listened to preferred music twice daily for four days using the MUSIC CARE® app. Neuroimaging data were collected using fNIRS. Data were transformed to changes in oxy-hemoglobin and deoxy-hemoglobin concentrations and analyzed. RESULTS Significant cortical activation pattern differences were observed between pre-and post-intervention scans, particularly in somatosensory regions. Post-intervention scans showed significantly reduced hemodynamic activities. CONCLUSION Preferred music listening has the potential to alleviate pain, and fNIRS emerges as a promising tool for exploring cortical-level pain-related neural circuits.
Collapse
Affiliation(s)
- Setor K Sorkpor
- Florida State University, College of Nursing, Tallahassee, FL, USA.
| | | | - Hongyu Miao
- Florida State University, College of Nursing, Tallahassee, FL, USA
| | - Luca Pollonini
- Departments of Engineering Technology, University of Houston, TX, USA
| | - Hyochol Ahn
- University of Arizona College of Nursing, Tucson, AZ, USA
| |
Collapse
|
46
|
Flanagan K, Saikia MJ. Consumer-Grade Electroencephalogram and Functional Near-Infrared Spectroscopy Neurofeedback Technologies for Mental Health and Wellbeing. SENSORS (BASEL, SWITZERLAND) 2023; 23:8482. [PMID: 37896575 PMCID: PMC10610697 DOI: 10.3390/s23208482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 09/04/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023]
Abstract
Neurofeedback, utilizing an electroencephalogram (EEG) and/or a functional near-infrared spectroscopy (fNIRS) device, is a real-time measurement of brain activity directed toward controlling and optimizing brain function. This treatment has often been attributed to improvements in disorders such as ADHD, anxiety, depression, and epilepsy, among others. While there is evidence suggesting the efficacy of neurofeedback devices, the research is still inconclusive. The applicability of the measurements and parameters of consumer neurofeedback wearable devices has improved, but the literature on measurement techniques lacks rigorously controlled trials. This paper presents a survey and literary review of consumer neurofeedback devices and the direction toward clinical applications and diagnoses. Relevant devices are highlighted and compared for treatment parameters, structural composition, available software, and clinical appeal. Finally, a conclusion on future applications of these systems is discussed through the comparison of their advantages and drawbacks.
Collapse
Affiliation(s)
- Kira Flanagan
- Electrical Engineering, University of North Florida, Jacksonville, FL 32224, USA
- Biomedical Sensors and Systems Laboratory, University of North Florida, Jacksonville, FL 32224, USA
| | - Manob Jyoti Saikia
- Electrical Engineering, University of North Florida, Jacksonville, FL 32224, USA
- Biomedical Sensors and Systems Laboratory, University of North Florida, Jacksonville, FL 32224, USA
| |
Collapse
|
47
|
Park KR, Kim H, Seong S, Kim MJ, Choi JK, Jeon HJ. A study on the functional near-infrared spectroscopy on impaired prefrontal activation and impulsivity during cognitive task in patients with major depressive disorder. J Affect Disord 2023; 339:548-554. [PMID: 37437724 DOI: 10.1016/j.jad.2023.07.013] [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: 02/28/2023] [Revised: 06/04/2023] [Accepted: 07/08/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND This study aimed to examine the association between prefrontal activation during a verbal fluency task (VFT) and impulsivity among patients with major depressive disorder (MDD), using functional near-infrared spectroscopy (fNIRS). METHODS We enrolled a total of 119 participants, 60 with MDD patients and 59 with healthy controls (HCs), aged 18 to 34 years. The Barratt Impulsiveness Scale-11 (BIS-11) was used to assess impulsivity after completing baseline demographic, clinical, and physical assessments. A VFT was used to examine prefrontal activation during cognitive executions while fNIRS was monitored. The changing values of oxygenated hemoglobin (oxy-Hb) and their associations with the BIS-11 score were analyzed. RESULTS The data analysis comprised 109 participants in total (54 MDD; 55 HCs). Spearman's correlation analysis of the MDD group showed a negative correlation between changes in oxy-Hb and BIS-11 values in the right prefrontal cortex, notably the right frontopolar cortex (FPC) and ventromedial prefrontal cortex (VMPFC). After adjusting for sex, age, years of education, and Hamilton Depression Rating Scale (HAMD), significance was maintained in the right FPC [ρ = -0.317, p = 0.027], and the right VMPFC [ρ = -0.327, p = 0.022]. Furthermore, multivariate linear regression suggested a significant association in the right prefrontal cortex with BIS-11 score [β = -1.904, SE = 0.799, p = 0.0214]. CONCLUSIONS Impaired prefrontal activation during a verbal fluency task, led to higher impulsivity in patients with MDD.
Collapse
Affiliation(s)
- Ka Ram Park
- Department of Medical Device Management and Research, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea
| | - Hyewon Kim
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sisu Seong
- Department of Medical Device Management and Research, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea
| | - Min-Ji Kim
- Biomedical Statistics Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, South Korea
| | | | - Hong Jin Jeon
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea; Department of Health Sciences & Technology and Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea; Meditrix Co., Ltd., Seoul, South Korea.
| |
Collapse
|
48
|
Chen YF, Mao MC, Zhu GY, Sun CC, Zhao JW, He HX, Chen YH, Xu DS. The changes of neuroactivity of Tui Na (Chinese massage) at Hegu acupoint on sensorimotor cortex in stroke patients with upper limb motor dysfunction: a fNIRS study. BMC Complement Med Ther 2023; 23:334. [PMID: 37735652 PMCID: PMC10512523 DOI: 10.1186/s12906-023-04143-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 08/27/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Tui Na (Chinese massage) is a relatively simple, inexpensive, and non-invasive intervention, and has been used to treat stroke patients for many years in China. Tui Na acts on specific parts of the body which are called meridians and acupoints to achieve the role of treating diseases. Yet the underlying neural mechanism associated with Tui Na is not clear due to the lack of detection methods. OBJECTIVE Functional near-infrared spectroscopy (fNIRS) was used to explore the changes of sensorimotor cortical neural activity in patients with upper limb motor dysfunction of stroke and healthy control groups during Tui Na Hegu Point. METHODS Ten patients with unilateral upper limb motor dysfunction after stroke and eight healthy subjects received Tui Na. fNIRS was used to record the hemodynamic data in the sensorimotor cortex and the changes in blood flow were calculated based on oxygenated hemoglobin (Oxy-Hb), the task session involved repetitive Tui Na on Hegu acupoint, using a block design [six cycles: rest (20 seconds); Tui Na (20 seconds); rest (30 seconds)]. The changes in neural activity in sensorimotor cortex could be inferred according to the principle of neurovascular coupling, and the number of activated channels in the bilateral hemisphere was used to calculate the lateralization index. RESULT 1. For hemodynamic response induced by Hegu acupoint Tui Na, a dominant increase in the contralesional primary sensorimotor cortex during Hegu point Tui Na of the less affected arm in stroke patients was observed, as well as that in healthy controls, while this contralateral pattern was absent during Hegu point Tui Na of the affected arm in stroke patients. 2. Concerning the lateralization index in stroke patients, a significant difference was observed between lateralization index values for the affected arm and the less affected arm (P < 0.05). Wilcoxon tests showed a significant difference between lateralization index values for the affected arm in stroke patients and lateralization index values for the dominant upper limb in healthy controls (P < 0.05), and no significant difference between lateralization index values for the less affected arm in stroke patients and that in healthy controls (P = 0.36). CONCLUSION The combination of Tui Na and fNIRS has the potential to reflect the functional status of sensorimotor neural circuits. The changes of neuroactivity in the sensorimotor cortex when Tui Na Hegu acupoint indicate that there is a certain correlation between acupoints in traditional Chinese medicine and neural circuits.
Collapse
Affiliation(s)
- Yu-Feng Chen
- Department of Massage, Hangzhou Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Meng-Chai Mao
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation, Ministry of Education, Shanghai, China
- The Second Rehabilitation Hospital of Shanghai, Shanghai, China
| | - Guang-Yue Zhu
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Cheng-Cheng Sun
- Rehabilitation Medical Center, Tongji Hospital Affiliated to Tongji University School of Medicine, Shanghai, China
| | - Jing-Wang Zhao
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Hao-Xiang He
- Department of Intensive Rehabilitation, Shanghai Third Rehabilitation Hospital, Shanghai, China
| | - Yu-Hui Chen
- Department of Internal Neurology, Tongji Hospital, Tongji University, Shanghai, China.
| | - Dong-Sheng Xu
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
- Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation, Ministry of Education, Shanghai, China.
- Department of Rehabilitation, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
| |
Collapse
|
49
|
Gentile E, Brunetti A, Ricci K, Vecchio E, Santoro C, Sibilano E, Bevilacqua V, Iliceto G, Craighero L, de Tommaso M. Effects of movement congruence on motor resonance in early Parkinson's disease. Sci Rep 2023; 13:14887. [PMID: 37689819 PMCID: PMC10492841 DOI: 10.1038/s41598-023-42112-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 09/05/2023] [Indexed: 09/11/2023] Open
Abstract
The observation of action seems to involve the generation of the internal representation of that same action in the observer, a process named motor resonance (MR). The objective of this study was to verify whether an experimental paradigm of action observation in a laboratory context could elicit cortical motor activation in 21 early Parkinson's disease (PD) patients compared to 22 controls. Participants were instructed to simply observe (observation-only session) or to respond (Time-to-contact detection session) at the instant the agent performed a grasping action toward a graspable or ungraspable object. We used functional near-infrared spectroscopy with 20 channels on the motor and premotor brain areas and event-related desynchronization of alpha-mu rhythm. In both groups, response times were more accurate in graspable than ungraspable object trials, suggesting that motor resonance is present in PD patients. In the Time-to-contact detection session, the oxyhemoglobin levels and alpha-mu desynchronization prevailed in the graspable object trials rather than in the ungraspable ones. This study demonstrates the preservation of MR mechanisms in early PD patients. The action observation finalized to a consequent movement can activate cortical networks in patients with early PD, suggesting early rehabilitation interventions taking into account specific observation paradigms preceding motor production.
Collapse
Affiliation(s)
- Eleonora Gentile
- Neurophysiopathology Unit, Polyclinic General Hospital, University of Bari "Aldo Moro", 70136, Bari, Italy.
| | - Antonio Brunetti
- Department of Electrical and Information Engineering, Polytechnic University of Bari, 70125, Bari, Italy
| | - Katia Ricci
- Neurophysiopathology Unit, Polyclinic General Hospital, University of Bari "Aldo Moro", 70136, Bari, Italy
| | - Eleonora Vecchio
- Neurophysiopathology Unit, Polyclinic General Hospital, University of Bari "Aldo Moro", 70136, Bari, Italy
| | - Carlo Santoro
- Neurophysiopathology Unit, Polyclinic General Hospital, University of Bari "Aldo Moro", 70136, Bari, Italy
| | - Elena Sibilano
- Department of Electrical and Information Engineering, Polytechnic University of Bari, 70125, Bari, Italy
| | - Vitoantonio Bevilacqua
- Department of Electrical and Information Engineering, Polytechnic University of Bari, 70125, Bari, Italy
| | - Giovanni Iliceto
- Neurophysiopathology Unit, Polyclinic General Hospital, University of Bari "Aldo Moro", 70136, Bari, Italy
| | - Laila Craighero
- Department of Neuroscience and Rehabilitation, University of Ferrara, 44121, Ferrara, Italy
| | - Marina de Tommaso
- Neurophysiopathology Unit, Polyclinic General Hospital, University of Bari "Aldo Moro", 70136, Bari, Italy
| |
Collapse
|
50
|
Bonanno L, Cannuli A, Pignolo L, Marino S, Quartarone A, Calabrò RS, Cerasa A. Neural Plasticity Changes Induced by Motor Robotic Rehabilitation in Stroke Patients: The Contribution of Functional Neuroimaging. Bioengineering (Basel) 2023; 10:990. [PMID: 37627875 PMCID: PMC10451271 DOI: 10.3390/bioengineering10080990] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/07/2023] [Accepted: 08/18/2023] [Indexed: 08/27/2023] Open
Abstract
Robotic rehabilitation is one of the most advanced treatments helping people with stroke to faster recovery from motor deficits. The clinical impact of this type of treatment has been widely defined and established using clinical scales. The neurofunctional indicators of motor recovery following conventional rehabilitation treatments have already been identified by previous meta-analytic investigations. However, a clear definition of the neural correlates associated with robotic neurorehabilitation treatment has never been performed. This systematic review assesses the neurofunctional correlates (fMRI, fNIRS) of cutting-edge robotic therapies in enhancing motor recovery of stroke populations in accordance with PRISMA standards. A total of 7, of the initial yield of 150 articles, have been included in this review. Lessons from these studies suggest that neural plasticity within the ipsilateral primary motor cortex, the contralateral sensorimotor cortex, and the premotor cortices are more sensitive to compensation strategies reflecting upper and lower limbs' motor recovery despite the high heterogeneity in robotic devices, clinical status, and neuroimaging procedures. Unfortunately, the paucity of RCT studies prevents us from understanding the neurobiological differences induced by robotic devices with respect to traditional rehabilitation approaches. Despite this technology dating to the early 1990s, there is a need to translate more functional neuroimaging markers in clinical settings since they provide a unique opportunity to examine, in-depth, the brain plasticity changes induced by robotic rehabilitation.
Collapse
Affiliation(s)
- Lilla Bonanno
- IRCCS Centro Neurolesi Bonino Pulejo, 98123 Messina, Italy; (L.B.); (A.C.); (S.M.); (A.Q.)
| | - Antonio Cannuli
- IRCCS Centro Neurolesi Bonino Pulejo, 98123 Messina, Italy; (L.B.); (A.C.); (S.M.); (A.Q.)
| | | | - Silvia Marino
- IRCCS Centro Neurolesi Bonino Pulejo, 98123 Messina, Italy; (L.B.); (A.C.); (S.M.); (A.Q.)
| | - Angelo Quartarone
- IRCCS Centro Neurolesi Bonino Pulejo, 98123 Messina, Italy; (L.B.); (A.C.); (S.M.); (A.Q.)
| | | | - Antonio Cerasa
- S’Anna Institute, 88900 Crotone, Italy;
- Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), 98164 Messina, Italy
- Translational Pharmacology, Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy
| |
Collapse
|