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Rathbone E, Fu D. Quantitative Optical Imaging of Oxygen in Brain Vasculature. J Phys Chem B 2024; 128:6975-6989. [PMID: 38991095 DOI: 10.1021/acs.jpcb.4c01277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2024]
Abstract
The intimate relationship between neuronal activity and cerebral oxygenation underpins fundamental brain functions like cognition, sensation, and motor control. Optical imaging offers a noninvasive approach to assess brain oxygenation and often serves as an indirect proxy for neuronal activity. However, deciphering neurovascular coupling─the intricate interplay between neuronal activity, blood flow, and oxygen delivery─necessitates independent, high spatial resolution, and high temporal resolution measurements of both microvasculature oxygenation and neuronal activation. This Perspective examines the established optical techniques employed for brain oxygen imaging, specifically functional near-infrared spectroscopy, photoacoustic imaging, optical coherence tomography, and two-photon phosphorescent lifetime microscopy, highlighting their fundamental principles, strengths, and limitations. Several other emerging optical techniques are also introduced. Finally, we discuss key technological challenges and future directions for quantitative optical oxygen imaging, paving the way for a deeper understanding of oxygen metabolism in the brain.
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Affiliation(s)
- Emily Rathbone
- Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
| | - Dan Fu
- Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
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Kvist A, Bezuidenhout L, Johansson H, Albrecht F, Moulaee Conradsson D, Franzén E. Validation of fNIRS measurement of executive demand during walking with and without dual-task in younger and older adults and people with Parkinson's disease. Neuroimage Clin 2024; 43:103637. [PMID: 38964222 PMCID: PMC11278929 DOI: 10.1016/j.nicl.2024.103637] [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: 03/18/2024] [Revised: 05/28/2024] [Accepted: 06/29/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND Walking with a concurrent cognitive task (dual-task walking) can pose a challenge to some populations due to aging or neurodegenerative disease. These tasks require cognitive resources involving the prefrontal cortex and can be studied using functional near-infrared spectroscopy (fNIRS). An important step in understanding fNIRS measures during such walking tasks is validating that measures reflect the demands of the tasks and not confounding sources or movement artifacts. AIM This study aimed to investigate the validity of fNIRS measures of prefrontal cortex activity as an indicator of executive demand during usual walking (single-task) and dual-task walking against clinical and objective measures of motor behavior in young adults, older adults, and people with Parkinson's disease (PD), by evaluating several validation hypotheses. METHODS In total, 133 participants were recruited from younger adults (18-50 years, n = 42), older adults (≥60 years, n = 49) and people with PD (≥60 years, n = 42). Activity in the prefrontal cortex during walking with and without an auditory Stroop task was measured with fNIRS. A combined hemoglobin measure (correlation-based signal improvement, CBSI) was calculated for use in a region of interest analysis in the dorsolateral prefrontal cortex (dlPFC). Pre-registered hypotheses regarding convergent validity, discriminant validity and known group validity were tested. An exploratory analysis of different hemoglobin measures was also performed. RESULTS Increases in dlPFC activity were found from single- to dual-task walking in the younger adults group and from rest to single-task walking in the older adults and PD groups. In line with hypotheses, a positive relationship was found between between dlPFC activity during dual-task walking and dual-task cost in the younger adults group, as well as a positive relationship to step time variability during single-task walking and a negative relationship to walking speed during single-task walking in the PD group. However, several clinical and gait measures lacked a relationship with dlPFC activity. CONCLUSION The fNIRS results point towards the CBSI measure of dlPFC activity being a valid measure of executive demand during both single and dual-task walking. Some relationships between clinical and gait measures and brain activity during walking need further investigation.
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Affiliation(s)
- Alexander Kvist
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden.
| | - Lucian Bezuidenhout
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden; Department of Health and Rehabilitation Sciences, Division of Physiotherapy, Stellenbosch University, Cape Town, South Africa
| | - Hanna Johansson
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden; Women's Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy & Physiotherapy, Karolinska University Hospital, Stockholm, Sweden; Stockholm Sjukhem Foundation, Mariebergsgatan 22, 112 19 Stockholm, Sweden
| | - Franziska Albrecht
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden; Women's Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy & Physiotherapy, Karolinska University Hospital, Stockholm, Sweden
| | - David Moulaee Conradsson
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden; Women's Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy & Physiotherapy, Karolinska University Hospital, Stockholm, Sweden
| | - Erika Franzén
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden; Women's Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy & Physiotherapy, Karolinska University Hospital, Stockholm, Sweden; Stockholm Sjukhem Foundation, Mariebergsgatan 22, 112 19 Stockholm, Sweden
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Curzel F, Tillmann B, Ferreri L. Lights on music cognition: A systematic and critical review of fNIRS applications and future perspectives. Brain Cogn 2024; 180:106200. [PMID: 38908228 DOI: 10.1016/j.bandc.2024.106200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 06/10/2024] [Accepted: 06/16/2024] [Indexed: 06/24/2024]
Abstract
Research investigating the neural processes related to music perception and production constitutes a well-established field within the cognitive neurosciences. While most neuroimaging tools have limitations in studying the complexity of musical experiences, functional Near-Infrared Spectroscopy (fNIRS) represents a promising, relatively new tool for studying music processes in both laboratory and ecological settings, which is also suitable for both typical and pathological populations across development. Here we systematically review fNIRS studies on music cognition, highlighting prospects and potentialities. We also include an overview of fNIRS basic theory, together with a brief comparison to characteristics of other neuroimaging tools. Fifty-nine studies meeting inclusion criteria (i.e., using fNIRS with music as the primary stimulus) are presented across five thematic sections. Critical discussion of methodology leads us to propose guidelines of good practices aiming for robust signal analyses and reproducibility. A continuously updated world map is proposed, including basic information from studies meeting the inclusion criteria. It provides an organized, accessible, and updatable reference database, which could serve as a catalyst for future collaborations within the community. In conclusion, fNIRS shows potential for investigating cognitive processes in music, particularly in ecological contexts and with special populations, aligning with current research priorities in music cognition.
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Affiliation(s)
- Federico Curzel
- Laboratoire d'Étude des Mécanismes Cognitifs (EMC), Université Lumière Lyon 2, Bron, Auvergne-Rhône-Alpes, 69500, France; Lyon Neuroscience Research Center (CRNL), INSERM, U1028, CNRS, UMR 5292, Université Claude Bernard Lyon1, Université de Lyon, Bron, Auvergne-Rhône-Alpes, 69500, France.
| | - Barbara Tillmann
- Lyon Neuroscience Research Center (CRNL), INSERM, U1028, CNRS, UMR 5292, Université Claude Bernard Lyon1, Université de Lyon, Bron, Auvergne-Rhône-Alpes, 69500, France; LEAD CNRS UMR5022, Université de Bourgogne-Franche Comté, Dijon, Bourgogne-Franche Comté 21000, France.
| | - Laura Ferreri
- Laboratoire d'Étude des Mécanismes Cognitifs (EMC), Université Lumière Lyon 2, Bron, Auvergne-Rhône-Alpes, 69500, France; Department of Brain and Behavioural Sciences, Università di Pavia, Pavia, Lombardia 27100, Italy.
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Gao Y, Li R, Ma Q, Baker JM, Rauch S, Gunier RB, Mora AM, Kogut K, Bradman A, Eskenazi B, Reiss AL, Sagiv SK. Childhood exposure to organophosphate pesticides: Functional connectivity and working memory in adolescents. Neurotoxicology 2024; 103:206-214. [PMID: 38908438 DOI: 10.1016/j.neuro.2024.06.011] [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: 04/14/2024] [Revised: 06/07/2024] [Accepted: 06/18/2024] [Indexed: 06/24/2024]
Abstract
BACKGROUND Early life exposure to organophosphate (OP) pesticides is linked with adverse neurodevelopment and brain function in children. However, we have limited knowledge of how these exposures affect functional connectivity, a measure of interaction between brain regions. To address this gap, we examined the association between early life OP pesticide exposure and functional connectivity in adolescents. METHODS We administered functional near-infrared spectroscopy (fNIRS) to 291 young adults with measured prenatal or childhood dialkylphosphates (DAPs) in the Center for the Health Assessment of Mothers and Children of Salinas (CHAMACOS) study, a longitudinal study of women recruited during pregnancy and their offspring. We measured DAPs in urinary samples collected from mothers during pregnancy (13 and 26 weeks) and children in early life (ages 6 months, 1, 2, 3, and 5 years). Youth underwent fNIRS while they performed executive function and semantic language tasks during their 18-year-old visit. We used covariate-adjusted regression models to estimate the associations of prenatal and childhood DAPs with functional connectivity between the frontal, temporal, and parietal regions, and a mediation model to examine the role of functional connectivity in the relationship between DAPs and task performance. RESULTS We observed null associations of prenatal and childhood DAP concentrations and functional connectivity for the entire sample. However, when we looked for sex differences, we observed an association between childhood DAPs and functional connectivity for the right interior frontal and premotor cortex after correcting for the false discovery rate, among males, but not females. In addition, functional connectivity appeared to mediate an inverse association between DAPs and working memory accuracy among males. CONCLUSION In CHAMACOS, a secondary analysis showed that adolescent males with elevated childhood OP pesticide exposure may have altered brain regional connectivity. This altered neurofunctional pattern in males may partially mediate working memory impairment associated with childhood DAP exposure.
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Affiliation(s)
- Yuanyuan Gao
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States.
| | - Rihui Li
- Center for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Taipa, Macau; Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau
| | - Qianheng Ma
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
| | - Joseph M Baker
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
| | - Stephen Rauch
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, United States
| | - Robert B Gunier
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, United States
| | - Ana M Mora
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, United States
| | - Katherine Kogut
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, United States
| | - Asa Bradman
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, United States; Department of Public Health, University of California, Merced, CA, United States
| | - Brenda Eskenazi
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, United States
| | - Allan L Reiss
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States; Department of Radiology, School of Medicine, Stanford University, Stanford, CA, United States; Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, United States
| | - Sharon K Sagiv
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, United States
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Zhou T, Ye Y, Zhu Q, Vann W, Du J. Neural dynamics of delayed feedback in robot teleoperation: insights from fNIRS analysis. Front Hum Neurosci 2024; 18:1338453. [PMID: 38952645 PMCID: PMC11215083 DOI: 10.3389/fnhum.2024.1338453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 05/31/2024] [Indexed: 07/03/2024] Open
Abstract
Introduction As robot teleoperation increasingly becomes integral in executing tasks in distant, hazardous, or inaccessible environments, operational delays remain a significant obstacle. These delays, inherent in signal transmission and processing, adversely affect operator performance, particularly in tasks requiring precision and timeliness. While current research has made strides in mitigating these delays through advanced control strategies and training methods, a crucial gap persists in understanding the neurofunctional impacts of these delays and the efficacy of countermeasures from a cognitive perspective. Methods This study addresses the gap by leveraging functional Near-Infrared Spectroscopy (fNIRS) to examine the neurofunctional implications of simulated haptic feedback on cognitive activity and motor coordination under delayed conditions. In a human-subject experiment (N = 41), sensory feedback was manipulated to observe its influences on various brain regions of interest (ROIs) during teleoperation tasks. The fNIRS data provided a detailed assessment of cerebral activity, particularly in ROIs implicated in time perception and the execution of precise movements. Results Our results reveal that the anchoring condition, which provided immediate simulated haptic feedback with a delayed visual cue, significantly optimized neural functions related to time perception and motor coordination. This condition also improved motor performance compared to the asynchronous condition, where visual and haptic feedback were misaligned. Discussion These findings provide empirical evidence about the neurofunctional basis of the enhanced motor performance with simulated synthetic force feedback in the presence of teleoperation delays. The study highlights the potential for immediate haptic feedback to mitigate the adverse effects of operational delays, thereby improving the efficacy of teleoperation in critical applications.
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Affiliation(s)
- Tianyu Zhou
- The Informatics, Cobots and Intelligent Construction (ICIC) Lab, Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL, United States
| | - Yang Ye
- The Informatics, Cobots and Intelligent Construction (ICIC) Lab, Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL, United States
| | - Qi Zhu
- Communications Technology Laboratory, Public Safety Communications Research Division, Advanced Communications Research Group, National Institute of Standards and Technology, Boulder, CO, United States
| | - William Vann
- The Informatics, Cobots and Intelligent Construction (ICIC) Lab, Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL, United States
| | - Jing Du
- The Informatics, Cobots and Intelligent Construction (ICIC) Lab, Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL, United States
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Klein F. Optimizing spatial specificity and signal quality in fNIRS: an overview of potential challenges and possible options for improving the reliability of real-time applications. FRONTIERS IN NEUROERGONOMICS 2024; 5:1286586. [PMID: 38903906 PMCID: PMC11188482 DOI: 10.3389/fnrgo.2024.1286586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 04/29/2024] [Indexed: 06/22/2024]
Abstract
The optical brain imaging method functional near-infrared spectroscopy (fNIRS) is a promising tool for real-time applications such as neurofeedback and brain-computer interfaces. Its combination of spatial specificity and mobility makes it particularly attractive for clinical use, both at the bedside and in patients' homes. Despite these advantages, optimizing fNIRS for real-time use requires careful attention to two key aspects: ensuring good spatial specificity and maintaining high signal quality. While fNIRS detects superficial cortical brain regions, consistently and reliably targeting specific regions of interest can be challenging, particularly in studies that require repeated measurements. Variations in cap placement coupled with limited anatomical information may further reduce this accuracy. Furthermore, it is important to maintain good signal quality in real-time contexts to ensure that they reflect the true underlying brain activity. However, fNIRS signals are susceptible to contamination by cerebral and extracerebral systemic noise as well as motion artifacts. Insufficient real-time preprocessing can therefore cause the system to run on noise instead of brain activity. The aim of this review article is to help advance the progress of fNIRS-based real-time applications. It highlights the potential challenges in improving spatial specificity and signal quality, discusses possible options to overcome these challenges, and addresses further considerations relevant to real-time applications. By addressing these topics, the article aims to help improve the planning and execution of future real-time studies, thereby increasing their reliability and repeatability.
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Affiliation(s)
- Franziska Klein
- Biomedical Devices and Systems Group, R&D Division Health, OFFIS - Institute for Information Technology, Oldenburg, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical School, RWTH Aachen University, Aachen, Germany
- Neurocognition and Functional Neurorehabilitation Group, Department of Psychology, University of Oldenburg, Oldenburg, Germany
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Holmes M, Aalto D, Cummine J. Opening the dialogue: A preliminary exploration of hair color, hair cleanliness, light, and motion effects on fNIRS signal quality. PLoS One 2024; 19:e0304356. [PMID: 38781258 PMCID: PMC11115287 DOI: 10.1371/journal.pone.0304356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 05/12/2024] [Indexed: 05/25/2024] Open
Abstract
INTRODUCTION Functional near-infrared spectroscopy (fNIRS) is a promising tool for studying brain activity, offering advantages such as portability and affordability. However, challenges in data collection persist due to factors like participant physiology, environmental light, and gross-motor movements, with limited literature on their impact on fNIRS signal quality. This study addresses four potentially influential factors-hair color, hair cleanliness, environmental light, and gross-motor movements-on fNIRS signal quality. Our aim is to raise awareness and offer insights for future fNIRS research. METHODS Six participants (4 Females, 2 Males) took part in four different experiments investigating the effects of hair color, hair cleanliness, environmental light, and gross-motor movements on fNIRS signal quality. Participants in Experiment 1, categorized by hair color, completed a finger-tapping task in a between-subjects block design. Signal quality was compared between each hair color. Participants in Experiments 2 and 3 completed a finger-tapping task in a within-subjects block design, with signal quality being compared across hair cleanliness (i.e., five consecutive days without washing the hair) and environmental light (i.e., sunlight, artificial light, no light, etc.), respectively. Experiment 4 assessed three gross-motor movements (i.e., walking, turning and nodding the head) in a within-subjects block design. Motor movements were then compared to resting blocks. Signal quality was evaluated using Scalp Coupling Index (SCI) measurements. RESULTS Lighter hair produced better signals than dark hair, while the impact of environmental light remains uncertain. Hair cleanliness showed no significant effects, but gross motor movements notably reduced signal quality. CONCLUSION Our results suggest that hair color, environmental light, and gross-motor movements affect fNIRS signal quality while hair cleanliness does not. Nevertheless, future studies with larger sample sizes are warranted to fully understand these effects. To advance future research, comprehensive documentation of participant demographics and lab conditions, along with signal quality analyses, is essential.
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Affiliation(s)
- Mitchell Holmes
- Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Daniel Aalto
- Faculty of Medicine and Dentistry, Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
- Faculty of Rehabilitation Medicine, Department of Communication Sciences and Disorders, University of Alberta, Edmonton, Alberta, Canada
- Institute for Reconstructive Science in Medicine (iRSM), Misericordia Community Hospital, Edmonton, Alberta, Canada
| | - Jacqueline Cummine
- Faculty of Medicine and Dentistry, Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
- Faculty of Rehabilitation Medicine, Department of Communication Sciences and Disorders, University of Alberta, Edmonton, Alberta, Canada
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Bonnaire J, Dumas G, Cassell J. Bringing together multimodal and multilevel approaches to study the emergence of social bonds between children and improve social AI. FRONTIERS IN NEUROERGONOMICS 2024; 5:1290256. [PMID: 38827377 PMCID: PMC11140154 DOI: 10.3389/fnrgo.2024.1290256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 04/29/2024] [Indexed: 06/04/2024]
Abstract
This protocol paper outlines an innovative multimodal and multilevel approach to studying the emergence and evolution of how children build social bonds with their peers, and its potential application to improving social artificial intelligence (AI). We detail a unique hyperscanning experimental framework utilizing functional near-infrared spectroscopy (fNIRS) to observe inter-brain synchrony in child dyads during collaborative tasks and social interactions. Our proposed longitudinal study spans middle childhood, aiming to capture the dynamic development of social connections and cognitive engagement in naturalistic settings. To do so we bring together four kinds of data: the multimodal conversational behaviors that dyads of children engage in, evidence of their state of interpersonal rapport, collaborative performance on educational tasks, and inter-brain synchrony. Preliminary pilot data provide foundational support for our approach, indicating promising directions for identifying neural patterns associated with productive social interactions. The planned research will explore the neural correlates of social bond formation, informing the creation of a virtual peer learning partner in the field of Social Neuroergonomics. This protocol promises significant contributions to understanding the neural basis of social connectivity in children, while also offering a blueprint for designing empathetic and effective social AI tools, particularly for educational contexts.
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Affiliation(s)
| | - Guillaume Dumas
- Research Center of the CHU Sainte-Justine, Department of Psychiatry, University of Montréal, Montreal, QC, Canada
- Mila–Quebec Artificial Intelligence Institute, Montreal, QC, Canada
| | - Justine Cassell
- Inria Paris Centre, Paris, France
- School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, United States
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Zhou X, Hong X, Wong PCM. Autistic Traits Modulate Social Synchronizations Between School-Aged Children: Insights From Three fNIRS Hyperscanning Experiments. Psychol Sci 2024:9567976241237699. [PMID: 38743614 DOI: 10.1177/09567976241237699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2024] Open
Abstract
The current study investigated how autistic traits modulate peer interactions using functional near-infrared spectroscopy (fNIRS) hyperscanning. Across three experiments, we tested the effect of copresence, joint activity, and a tangible goal during cooperative interactions on interbrain coherence (IBC) in school-aged children between 9 and 11 years old. Twenty-three dyads of children watched a video alone or together in Experiment 1, engaged in joint or self-paced book reading in Experiment 2, and pretended to play a Jenga game or played for real in Experiment 3. We found that all three formats of social interactions increased IBC in the frontotemporoparietal networks, which have been reported to support social interaction. Further, our results revealed the shared and unique interbrain connections that were predictive of the lower and higher parent-reported autism-spectrum quotient scores, which indicated child autistic traits. Results from a convergence of three experiments provide the first evidence to date that IBC is modulated by child autistic traits.
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Affiliation(s)
- Xin Zhou
- Department of Linguistics and Modern Languages, the Chinese University of Hong Kong
- Brain and Mind Institute, the Chinese University of Hong Kong
- National Acoustic Laboratories, Macquarie Park, Australia
| | - Xuancu Hong
- Department of Linguistics and Modern Languages, the Chinese University of Hong Kong
| | - Patrick C M Wong
- Department of Linguistics and Modern Languages, the Chinese University of Hong Kong
- Brain and Mind Institute, the Chinese University of Hong Kong
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Green GD, Jacewicz E, Santosa H, Arzbecker LJ, Fox RA. Evaluating Speaker-Listener Cognitive Effort in Speech Communication Through Brain-to-Brain Synchrony: A Pilot Functional Near-Infrared Spectroscopy Investigation. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2024; 67:1339-1359. [PMID: 38535722 DOI: 10.1044/2024_jslhr-23-00476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2024]
Abstract
PURPOSE We explore a new approach to the study of cognitive effort involved in listening to speech by measuring the brain activity in a listener in relation to the brain activity in a speaker. We hypothesize that the strength of this brain-to-brain synchrony (coupling) reflects the magnitude of cognitive effort involved in verbal communication and includes both listening effort and speaking effort. We investigate whether interbrain synchrony is greater in native-to-native versus native-to-nonnative communication using functional near-infrared spectroscopy (fNIRS). METHOD Two speakers participated, a native speaker of American English and a native speaker of Korean who spoke English as a second language. Each speaker was fitted with the fNIRS cap and told short stories. The native English speaker provided the English narratives, and the Korean speaker provided both the nonnative (accented) English and Korean narratives. In separate sessions, fNIRS data were obtained from seven English monolingual participants ages 20-24 years who listened to each speaker's stories. After listening to each story in native and nonnative English, they retold the content, and their transcripts and audio recordings were analyzed for comprehension and discourse fluency, measured in the number of hesitations and articulation rate. No story retellings were obtained for narratives in Korean (an incomprehensible language for English listeners). Utilizing fNIRS technique termed sequential scanning, we quantified the brain-to-brain synchronization in each speaker-listener dyad. RESULTS For native-to-native dyads, multiple brain regions associated with various linguistic and executive functions were activated. There was a weaker coupling for native-to-nonnative dyads, and only the brain regions associated with higher order cognitive processes and functions were synchronized. All listeners understood the content of all stories, but they hesitated significantly more when retelling stories told in accented English. The nonnative speaker hesitated significantly more often than the native speaker and had a significantly slower articulation rate. There was no brain-to-brain coupling during listening to Korean, indicating a break in communication when listeners failed to comprehend the speaker. CONCLUSIONS We found that effortful speech processing decreased interbrain synchrony and delayed comprehension processes. The obtained brain-based and behavioral patterns are consistent with our proposal that cognitive effort in verbal communication pertains to both the listener and the speaker and that brain-to-brain synchrony can be an indicator of differences in their cumulative communicative effort. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.25452142.
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Affiliation(s)
- Geoff D Green
- Department of Speech and Hearing Science, The Ohio State University, Columbus
| | - Ewa Jacewicz
- Department of Speech and Hearing Science, The Ohio State University, Columbus
| | | | - Lian J Arzbecker
- Department of Speech and Hearing Science, The Ohio State University, Columbus
| | - Robert A Fox
- Department of Speech and Hearing Science, The Ohio State University, Columbus
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Hebden JC, Forrester G, Zhang H, Pacis DM. Using spectral derivatives to remove the influence of hair on optical images of the static absorbing properties of tissue-like turbid media. NEUROPHOTONICS 2024; 11:025002. [PMID: 38681965 PMCID: PMC11046095 DOI: 10.1117/1.nph.11.2.025002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 04/04/2024] [Accepted: 04/11/2024] [Indexed: 05/01/2024]
Abstract
Significance Although measurements of near-infrared light diffusely reflected from the head and other biological tissues are commonly used to generate images revealing changes in the concentrations of oxy- and deoxy-hemoglobin, static imaging of absolute concentrations has been inhibited by the unknown and variable coupling between the optical probe and the skin, to which hair is often a significant contributor. Measurements of spectral derivatives provide a means of overcoming this shortcoming. Aim The aim is to demonstrate experimentally that measurements of the derivative of the attenuation of the detected signal with respect to wavelength can be used to achieve images that are immune to the spatial variation of hair on the surface. The objective is to generate topographic images representative of static absorbing properties rather than retrieving absolute optical coefficients, which requires a tomographic approach. Approach The surface of a tissue-equivalent phantom, containing targets with different concentrations of absorbing dye, was coated with a layer of dark hair. The phantom was then imaged using a broadband source and spectrometer, and prior knowledge of the absorbing characteristics of the dye and of melanin was used to acquire separate images of each. Results The targets within the phantom are revealed with remarkable clarity, although a nonlinear relationship between the target contrast and absorption was observed. This nonlinear behavior was confirmed and explained using a Monte Carlo model of light propagation in a slab of similar absorbing properties. Conclusions A spectral derivative approach could be an effective tool for in vivo topographic imaging of the static optical properties of the brain and other tissues, avoiding the deleterious effects of hair.
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Affiliation(s)
- Jeremy C. Hebden
- University College London, Department of Medical Physics & Biomedical Engineering, London, United Kingdom
| | - Gianna Forrester
- University College London, Department of Medical Physics & Biomedical Engineering, London, United Kingdom
| | - Haoyang Zhang
- University College London, Department of Medical Physics & Biomedical Engineering, London, United Kingdom
| | - Danica M. Pacis
- University College London, Department of Medical Physics & Biomedical Engineering, London, United Kingdom
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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 2024:10.1007/s10548-023-01032-0. [PMID: 38315347 DOI: 10.1007/s10548-023-01032-0] [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: 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.
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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.
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Sagiv SK, Baker JM, Rauch S, Gao Y, Gunier RB, Mora AM, Kogut K, Bradman A, Eskenazi B, Reiss AL. Prenatal and childhood exposure to organophosphate pesticides and functional brain imaging in young adults. ENVIRONMENTAL RESEARCH 2024; 242:117756. [PMID: 38016496 PMCID: PMC11298288 DOI: 10.1016/j.envres.2023.117756] [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: 09/19/2023] [Revised: 11/15/2023] [Accepted: 11/20/2023] [Indexed: 11/30/2023]
Abstract
BACKGROUND Early life exposure to organophosphate (OP) pesticides has been linked with poorer neurodevelopment from infancy to adolescence. In our Center for the Health Assessment of Mothers and Children of Salinas (CHAMACOS) birth cohort, we previously reported that residential proximity to OP use during pregnancy was associated with altered cortical activation using functional near infrared spectroscopy (fNIRS) in a small subset (n = 95) of participants at age 16 years. METHODS We administered fNIRS to 291 CHAMACOS young adults at the 18-year visit. Using covariate-adjusted regression models, we estimated associations of prenatal and childhood urinary dialkylphosphates (DAPs), non-specific OP metabolites, with cortical activation in the frontal, temporal, and parietal regions of the brain during tasks of executive function and semantic language. RESULTS There were some suggestive associations for prenatal DAPs with altered activation patterns in both the inferior frontal and inferior parietal lobes of the left hemisphere during a task of cognitive flexibility (β per ten-fold increase in DAPs = 3.37; 95% CI: -0.02, 6.77 and β = 3.43; 95% CI: 0.64, 6.22, respectively) and the inferior and superior frontal pole/dorsolateral prefrontal cortex of the right hemisphere during the letter retrieval working memory task (β = -3.10; 95% CI: -6.43, 0.22 and β = -3.67; 95% CI: -7.94, 0.59, respectively). We did not observe alterations in cortical activation with prenatal DAPs during a semantic language task or with childhood DAPs during any task. DISCUSSION We observed associations of prenatal OP concentrations with mild alterations in cortical activation during tasks of executive function. Associations with childhood exposure were null. This is reasonably consistent with studies of prenatal OPs and neuropsychological measures of attention and executive function found in CHAMACOS and other birth cohorts.
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Affiliation(s)
- Sharon K Sagiv
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA.
| | - Joseph M Baker
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA
| | - Stephen Rauch
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Yuanyuan Gao
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA
| | - Robert B Gunier
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Ana M Mora
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Katherine Kogut
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Asa Bradman
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA; Department of Public Health, University of California, Merced, CA, USA
| | - Brenda Eskenazi
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, USA.
| | - Allan L Reiss
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA; Department of Radiology, School of Medicine, Stanford University, Stanford, CA, USA; Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA.
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Shoushtarian M, Bravo MMG, Datta S, Fallon JB. Multimodal assessment of tinnitus using functional near-infrared spectroscopy and psychophysiological measures. Int J Audiol 2024:1-13. [PMID: 38219241 DOI: 10.1080/14992027.2023.2296866] [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: 02/25/2023] [Accepted: 12/14/2023] [Indexed: 01/16/2024]
Abstract
OBJECTIVE To use a multimodal approach to classify individuals with tinnitus from controls, and individuals with mild versus severe tinnitus. DESIGN We have previously shown feasibility of a non-invasive imaging technique called functional near-infrared spectroscopy (fNIRS) to detect tinnitus-related changes in cortical activity and classify individuals with tinnitus from controls, as well as individuals with mild versus severe tinnitus. In this study we have used a multimodal approach by recording heart rate, heart rate variability and skin conductance, in addition to fNIRS signals, from individuals with tinnitus and controls. STUDY SAMPLE Twenty-seven participants with tinnitus and 21 controls were recruited. RESULTS Our findings show, addition of heart rate measures can improve accuracy of classifying tinnitus severity, in particular loudness as rated subjectively. The f1-score, a measure of classification accuracy, increased from 0.73 to 0.86 when using a support vector machine classifier for differentiating low versus high tinnitus loudness. CONCLUSIONS Subjective tinnitus is a condition that can only be described by the individual experiencing it, as there are currently no objective measures to determine tinnitus presence and severity, or assess the effectiveness of treatments. Objective measurement of tinnitus is a critical step in developing reliable treatments for this debilitating condition.
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Affiliation(s)
- Mehrnaz Shoushtarian
- The Bionics Institute, Victoria, Australia
- Medical Bionics Department, The University of Melbourne, Melbourne, Australia
| | | | | | - James B Fallon
- The Bionics Institute, Victoria, Australia
- Medical Bionics Department, The University of Melbourne, Melbourne, Australia
- Department of Otolaryngology, The University of Melbourne, Melbourne, Australia
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15
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Zhou X, Wang L, Hong X, Wong PCM. Infant-directed speech facilitates word learning through attentional mechanisms: An fNIRS study of toddlers. Dev Sci 2024; 27:e13424. [PMID: 37322865 DOI: 10.1111/desc.13424] [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: 06/10/2022] [Revised: 05/27/2023] [Accepted: 05/30/2023] [Indexed: 06/17/2023]
Abstract
The speech register that adults especially caregivers use when interacting with infants and toddlers, that is, infant-directed speech (IDS) or baby talk, has been reported to facilitate language development throughout the early years. However, the neural mechanisms as well as why IDS results in such a developmental faciliatory effect remain to be investigated. The current study uses functional near-infrared spectroscopy (fNIRS) to evaluate two alternative hypotheses of such a facilitative effect, that IDS serves to enhance linguistic contrastiveness or to attract the child's attention. Behavioral and fNIRS data were acquired from twenty-seven Cantonese-learning toddlers 15-20 months of age when their parents spoke to them in either an IDS or adult-directed speech (ADS) register in a naturalistic task in which the child learned four disyllabic pseudowords. fNIRS results showed significantly greater neural responses to IDS than ADS register in the left dorsolateral prefrontal cortex (L-dlPFC), but opposite response patterns in the bilateral inferior frontal gyrus (IFG). The differences in fNIRS responses to IDS and to ADS in the L-dlPFC and the left parietal cortex (L-PC) showed significantly positive correlations with the differences in the behavioral word-learning performance of toddlers. The same fNIRS measures in the L-dlPFC and right PC (R-PC) of toddlers were significantly correlated with pitch range differences of parents between the two speech conditions. Together, our results suggest that the dynamic prosody in IDS increased toddlers' attention through greater involvement of the left frontoparietal network that facilitated word learning, compared to ADS. RESEARCH HIGHLIGHTS: This study for the first time examined the neural mechanisms of how infant-directed speech (IDS) facilitates word learning in toddlers. Using fNIRS, we identified the cortical regions that were directly involved in IDS processing. Our results suggest that IDS facilitates word learning by engaging a right-lateralized prosody processing and top-down attentional mechanisms in the left frontoparietal networks. The language network including the inferior frontal gyrus and temporal cortex was not directly involved in IDS processing to support word learning.
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Affiliation(s)
- Xin Zhou
- Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Hong Kong SAR, China
- Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Luchang Wang
- Department of Applied Linguistics, Xi'an Jiaotong-Liverpool University, Suzhou, China
| | - Xuancu Hong
- Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Patrick C M Wong
- Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Hong Kong SAR, China
- Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
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16
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Minagawa Y, Hata M, Yamamoto E, Tsuzuki D, Morimoto S. Inter-brain synchrony during mother-infant interactive parenting in 3-4-month-old infants with and without an elevated likelihood of autism spectrum disorder. Cereb Cortex 2023; 33:11609-11622. [PMID: 37885119 PMCID: PMC10724871 DOI: 10.1093/cercor/bhad395] [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: 02/10/2023] [Revised: 09/27/2023] [Accepted: 09/28/2023] [Indexed: 10/28/2023] Open
Abstract
Maternal bonding for mammalian infants is critical for their survival. Additionally, it is important for human infants' development into social creatures. However, despite the ample neurobiological evidence of attachment for the mother's brain, the interplay of this system in infants is poorly understood. We aimed to identify the neural substrates of synchrony in mothers and infants under three interactive conditions and compare the differences between groups with (n = 16) and without (n = 71) an elevated likelihood of autism spectrum disorder by examining the inter-brain synchrony between mothers and their 3-4-month-old infants. Mother-infant hyperscanning with functional near-infrared spectroscopy was performed during breastfeeding and while each of the mother and experimenter was holding the infants. The results showed almost no group differences, with both groups demonstrating the strongest inter-brain coupling for breastfeeding. The cerebral foci underlying these couplings differed between mothers and infants: the ventral prefrontal cortex, focusing on the right orbitofrontal cortex, in the mother and the left temporoparietal junction in the infant were chiefly involved in connecting the two brains. Furthermore, these synchronizations revealed many significant correlations with behavioral measures, including subsequent language development. The maternal reward-motivational system and the infant's elementary mentalization system seem to underlie mother-infant coupling during breastfeeding.
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Affiliation(s)
- Yasuyo Minagawa
- Department of Psychology, Faculty of Letters, Keio University, 4-1-1 Hiyoshi, Kohoku-ku, Yokohama 223-8521, Japan
- Human Biology-Microbiome-Quantum Research Center (WPI-Bio2Q), Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
- Center for Advanced Research of Logic and Sensibility, Global Research Institute, Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan
| | - Masahiro Hata
- Center for Advanced Research of Logic and Sensibility, Global Research Institute, Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan
| | - Eriko Yamamoto
- Center for Advanced Research of Logic and Sensibility, Global Research Institute, Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan
| | - Daisuke Tsuzuki
- Department of Information Science, Faculty of Science and Technology, Kochi University, 2-5-1 Akebono-cho, kochi-shi, Kochi 780-8072, Japan
| | - Satoshi Morimoto
- Center for Advanced Research of Logic and Sensibility, Global Research Institute, Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan
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Blanco B, Lloyd-Fox S, Begum-Ali J, Pirazzoli L, Goodwin A, Mason L, Pasco G, Charman T, Jones EJH, Johnson MH. Cortical responses to social stimuli in infants at elevated likelihood of ASD and/or ADHD: A prospective cross-condition fNIRS study. Cortex 2023; 169:18-34. [PMID: 37847979 DOI: 10.1016/j.cortex.2023.07.010] [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: 04/24/2023] [Revised: 07/06/2023] [Accepted: 07/12/2023] [Indexed: 10/19/2023]
Abstract
Autism spectrum disorders (ASD) and attention-deficit hyperactivity disorder (ADHD) are highly prevalent neurodevelopmental conditions that often co-occur and present both common and distinct neurodevelopmental profiles. Studying the developmental pathways leading to the emergence of ASD and/or ADHD symptomatology is crucial in understanding neurodiversity and discovering the mechanisms that underpin it. This study used functional near-infrared spectroscopy (fNIRS) to investigate differences in cortical specialization to social stimuli between 4- to 6-month-old infants at typical and elevated likelihood of ASD and/or ADHD. Results showed that infants at both elevated likelihood of ASD and ADHD had reduced selectivity to vocal sounds in left middle and superior temporal gyrus. Furthermore, infants at elevated likelihood of ASD showed attenuated responses to visual social stimuli in several cortical regions compared to infants at typical likelihood. Individual brain responses to visual social stimuli were associated with later autism traits, but not ADHD traits. These outcomes support our previous observations showing atypical social brain responses in infants at elevated likelihood of ASD and align with later atypical brain responses to social stimuli observed in children and adults with ASD. These findings highlight the importance of characterizing antecedent biomarkers of atypicalities in processing socially relevant information that might contribute to both phenotypic overlap and divergence across ASD and ADHD conditions and their association with the later emergence of behavioural symptoms.
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Affiliation(s)
- Borja Blanco
- Department of Psychology, University of Cambridge, UK.
| | | | - Jannath Begum-Ali
- Centre for Brain & Cognitive Development, Birkbeck, University of London, UK
| | - Laura Pirazzoli
- Laboratories of Cognitive Neuroscience, Division of Developmental Medicine, Department of Medicine, Boston Children's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Amy Goodwin
- Institute of Psychiatry, Psychology & Neuroscience, Kings College London, UK
| | - Luke Mason
- Centre for Brain & Cognitive Development, Birkbeck, University of London, UK; Institute of Psychiatry, Psychology & Neuroscience, Kings College London, UK
| | - Greg Pasco
- Institute of Psychiatry, Psychology & Neuroscience, Kings College London, UK
| | - Tony Charman
- Institute of Psychiatry, Psychology & Neuroscience, Kings College London, UK
| | - Emily J H Jones
- Centre for Brain & Cognitive Development, Birkbeck, University of London, UK
| | - Mark H Johnson
- Department of Psychology, University of Cambridge, UK; Centre for Brain & Cognitive Development, Birkbeck, University of London, UK
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von Au S, Helmich I, Kieffer S, Lausberg H. Phasic and repetitive self-touch differ in hemodynamic response in the prefrontal cortex-An fNIRS study. FRONTIERS IN NEUROERGONOMICS 2023; 4:1266439. [PMID: 38234502 PMCID: PMC10790951 DOI: 10.3389/fnrgo.2023.1266439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 10/24/2023] [Indexed: 01/19/2024]
Abstract
Introduction Each individual touches the own body several 100 times a day. While some researchers propose a self-regulatory function of self-touch, others report that self-touching increases nervousness. This controversy appears to be caused by the fact that researchers did not define the kind of self-touch they examined and actually, referred to different types of self-touch. Thus, kinematically defining different types of self-touch, such as phasic (discrete), repetitive, and irregular, and exploring the neural correlates of the different types will provide insight into the neuropsychological function of self-touching behavior. Methods To this aim, we assessed hemodynamic responses in prefrontal brain areas using functional near-infrared spectroscopy (fNIRS) and behavioral responses with NEUROGES®. Fifty-two participants were recorded during three specific kinematically types of self-touch (phasic, irregular, repetitive) that were to be performed on command. The recently developed toolbox Satori was used for the visualization of neuronal processes. Results Behaviorally, the participants did not perform irregular self-touch reliably. Neurally, the comparison of phasic, irregular and repetitive self-touch revealed different activation patterns. Repetitive self-touch is associated with stronger hemodynamic responses in the left Orbitofrontal Cortex and the Dorsolateral Prefrontal Cortex than phasic self-touch. Discussion These brain areas have been reported to be associated with self-regulatory processes. Furthermore, irregular self-touch appears to be primarily generated by implicit neural control. Thus, by distinguishing kinematically different types of self-touch, our findings shed light on the controverse discussion on the neuropsychological function of self-touch.
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Affiliation(s)
- Sabrina von Au
- Department of Neurology, Psychosomatic Medicine and Psychiatry, Institute of Health Promotion and Clinical Movement Science, German Sport University (GSU) Cologne, Cologne, Germany
| | - Ingo Helmich
- Department of Neurology, Psychosomatic Medicine and Psychiatry, Institute of Health Promotion and Clinical Movement Science, German Sport University (GSU) Cologne, Cologne, Germany
- Department of Motor Behavior in Sports, Institute of Health Promotion and Clinical Movement Science, German Sport University (GSU) Cologne, Cologne, Germany
| | - Simon Kieffer
- Department of Neurology, Psychosomatic Medicine and Psychiatry, Institute of Health Promotion and Clinical Movement Science, German Sport University (GSU) Cologne, Cologne, Germany
| | - Hedda Lausberg
- Department of Neurology, Psychosomatic Medicine and Psychiatry, Institute of Health Promotion and Clinical Movement Science, German Sport University (GSU) Cologne, Cologne, Germany
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Lim SB, Peters S, Yang CL, Boyd LA, Liu-Ambrose T, Eng JJ. Premotor and Posterior Parietal Cortex Activity is Increased for Slow, as well as Fast Walking Poststroke: An fNIRS Study. Neural Plast 2023; 2023:2403175. [PMID: 37868191 PMCID: PMC10589070 DOI: 10.1155/2023/2403175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 06/14/2023] [Accepted: 09/14/2023] [Indexed: 10/24/2023] Open
Abstract
Methods Twenty individuals in the chronic stage of stroke walked: (1) at their normal pace, (2) slower than normal, and (3) as fast as possible. Functional near-infrared spectroscopy was used to assess bilateral prefrontal, premotor, sensorimotor, and posterior parietal cortices during walking. Results No significant differences in laterality were observed between walking speeds. The ipsilesional prefrontal cortex was overall more active than the contralesional prefrontal cortex. Premotor and posterior parietal cortex activity were larger during slow and fast walking compared to normal-paced walking with no differences between slow and fast walking. Greater increases in brain activation in the ipsilesional prefrontal cortex during fast compared to normal-paced walking related to greater gait speed modulation. Conclusions Brain activation is not linearly related to gait speed. Ipsilesional prefrontal cortex, bilateral premotor, and bilateral posterior parietal cortices are important areas for gait speed modulation and could be an area of interest for neurostimulation.
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Affiliation(s)
- Shannon B. Lim
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada
- Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver, BC, Canada
| | - Sue Peters
- School of Physical Therapy, Western University, London, ON, Canada
| | - Chieh-ling Yang
- Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Lara A. Boyd
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada
- The David Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
| | - Teresa Liu-Ambrose
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada
- The David Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver, BC, Canada
| | - Janice J. Eng
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada
- Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver, BC, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver, BC, Canada
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Gossé LK, Pinti P, Wiesemann F, Elwell CE, Jones EJH. Developing customized NIRS-EEG for infant sleep research: methodological considerations. NEUROPHOTONICS 2023; 10:035010. [PMID: 37753324 PMCID: PMC10519625 DOI: 10.1117/1.nph.10.3.035010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 07/27/2023] [Accepted: 07/28/2023] [Indexed: 09/28/2023]
Abstract
Significance Studies using simultaneous functional near-infrared spectroscopy (fNIRS)-electroencephalography (EEG) during natural sleep in infancy are rare. Developments for combined fNIRS-EEG for sleep research that ensure optimal comfort as well as good coupling and data quality are needed. Aim We describe the steps toward developing a comfortable, wearable NIRS-EEG headgear adapted specifically for sleeping infants ages 5 to 9 months and present the experimental procedures and data quality to conduct infant sleep research using combined fNIRS-EEG. Approach N = 49 5- to 9-month-old infants participated. In phase 1, N = 26 (10 = slept) participated using the non-wearable version of the NIRS-EEG headgear with 13-channel-wearable EEG and 39-channel fiber-based NIRS. In phase 2, N = 23 infants (21 = slept) participated with the wireless version of the headgear with 20-channel-wearable EEG and 47-channel wearable NIRS. We used QT-NIRS to assess the NIRS data quality based on the good time window percentage, included channels, nap duration, and valid EEG percentage. Results The infant nap rate during phase 1 was ∼ 40 % (45% valid EEG data) and increased to 90% during phase 2 (100% valid EEG data). Infants slept significantly longer with the wearable system than the non-wearable system. However, there were more included good channels based on QT-NIRS in study phase 1 (61%) than phase 2 (50%), though this difference was not statistically significant. Conclusions We demonstrated the usability of an integrated NIRS-EEG headgear during natural infant sleep with both non-wearable and wearable NIRS systems. The wearable NIRS-EEG headgear represents a good compromise between data quality, opportunities of applications (home visits and toddlers), and experiment success (infants' comfort, longer sleep duration, and opportunities for caregiver-child interaction).
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Affiliation(s)
- Louisa K. Gossé
- Birkbeck, University of London, Centre for Brain and Cognitive Development, London, United Kingdom
| | - Paola Pinti
- Birkbeck, University of London, Centre for Brain and Cognitive Development, London, United Kingdom
| | - Frank Wiesemann
- Research and Development, Procter & Gamble, Schwalbach am Taunus, Germany
| | - Clare E. Elwell
- University College London, Department of Medical Physics and Biomedical Engineering, Biomedical Optics Research Laboratory, London, United Kingdom
| | - Emily J. H. Jones
- Birkbeck, University of London, Centre for Brain and Cognitive Development, London, United Kingdom
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Peng T, Esmaelpoor J, Mao D, Lee OW, Haneman M, Balasubramanian G, Wunderlich J, McKay CM. A Parametric Model for Characterizing Time-Variant Single Trials of Block-Design fNIRS Experiments. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38082885 DOI: 10.1109/embc40787.2023.10340107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Block-design is a popular experimental paradigm for functional near-infrared spectroscopy (fNIRS). Traditional block-design analysis techniques such as generalized linear modeling (GLM) and waveform averaging (WA) assume that the brain is a time-invariant system. This is a flawed assumption. In this paper, we propose a parametric Gaussian model to quantify the time-variant behavior found across consecutive trials of block-design fNIRS experiments. Using simulated data at different signal-to-noise ratios (SNRs), we demonstrate that our proposed technique is capable of characterizing Gaussian-like fNIRS signal features with ≥3dB SNR. When used to fit recorded data from an auditory block-design experiment, model parameter values quantitatively revealed statistically significant changes in fNIRS responses across trials, consistent with visual inspection of data from individual trials. Our results suggest that our model effectively captures trial-to-trial differences in response, which enables researchers to study time-variant brain responses using block-design fNIRS experiments.
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22
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Gorniak SL, Wagner VE, Vaughn K, Perry J, Cox LG, Hibino H, Montero-Hernandez SA, Hernandez AE, Pollonini L. Functional near infrared spectroscopy detects cortical activation changes concurrent with memory loss in postmenopausal women with Type II Diabetes. Exp Brain Res 2023; 241:1555-1567. [PMID: 37127798 PMCID: PMC10699502 DOI: 10.1007/s00221-023-06581-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 02/22/2023] [Indexed: 05/03/2023]
Abstract
Older adults with Type II Diabetes Mellitus (DM) experience mild cognitive impairment, specifically in the domain of recall/working memory. No consistent causative structural cortical deficits have been identified in persons with DM (PwDM). Memory deficits may be exacerbated in older adult females, who are at the highest risk of cardiovascular decline due to DM. The focus of the current study was to evaluate functional cortical hemodynamic activity during memory tasks in postmenopausal PwDM. Functional Near Infrared Spectroscopy (fNIRS) was used to monitor oxyhemoglobin (HbO) and deoxyhemoglobin (HbR) during memory-based tasks in a cross-sectional sample of postmenopausal women with DM. Twenty-one community-dwelling DM females (age = 65 ± 6 years) and twenty-one age- and sex-matched healthy controls (age = 66 ± 6 years) were evaluated. Working memory performance (via N-back) was evaluated while study participants donned cortical fNIRS. Health state, metabolic data, and menopausal status data were also collected. Deficits in working memory accuracy were found in the DM group as compared to controls. Differences in HbO responses emerged in the DM group. The DM group exhibited altered PFC activity magnitudes and increased functional cortical activity across ROIs compared to controls. HbO and HbR responses were not associated with worsened health state measures. These data indicate a shift in cortical activity patterns with memory deficits in postmenopausal PwDM. This DM-specific shift of HbO is a novel finding that is unlikely to be detected by fMRI. This underscores the value of using non-MRI-based neuroimaging techniques to evaluate cortical hemodynamic function to detect early mild cognitive impairment.
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Affiliation(s)
- Stacey L Gorniak
- Department of Health and Human Performance, University of Houston, Houston, TX, 77204, USA.
| | - Victoria E Wagner
- Department of Psychology, University of Houston, Houston, TX, 77204, USA
| | - Kelly Vaughn
- Department of Psychology, University of Houston, Houston, TX, 77204, USA
- Department of Pediatrics, Children's Learning Institute, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Jonathan Perry
- Department of Engineering Technology, University of Houston, Houston, TX, 77204, USA
| | - Lauren Gulley Cox
- Department of Health and Human Performance, University of Houston, Houston, TX, 77204, USA
| | - Hidetaka Hibino
- Department of Health and Human Performance, University of Houston, Houston, TX, 77204, USA
| | | | - Arturo E Hernandez
- Department of Psychology, University of Houston, Houston, TX, 77204, USA
| | - Luca Pollonini
- Department of Engineering Technology, University of Houston, Houston, TX, 77204, USA
- Department of Electrical and Computer Engineering, University of Houston, 77204, Houston, USA
- Department of Biomedical Engineering, University of Houston, 77204, Houston, USA
- Basque Center on Cognition, Brain and Language, San Sebastian, Spain
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23
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Carius D, Herold F, Clauß M, Kaminski E, Wagemann F, Sterl C, Ragert P. Increased Cortical Activity in Novices Compared to Experts During Table Tennis: A Whole-Brain fNIRS Study Using Threshold-Free Cluster Enhancement Analysis. Brain Topogr 2023:10.1007/s10548-023-00963-y. [PMID: 37119404 DOI: 10.1007/s10548-023-00963-y] [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: 11/24/2022] [Accepted: 04/15/2023] [Indexed: 05/01/2023]
Abstract
There is a growing interest to understand the neural underpinnings of high-level sports performance including expertise-related differences in sport-specific skills. Here, we aimed to investigate whether expertise level and task complexity modulate the cortical hemodynamics of table tennis players. 35 right-handed table tennis players (17 experts/18 novices) were recruited and performed two table tennis strokes (forehand and backhand) and a randomized combination of them. Cortical hemodynamics, as a proxy for cortical activity, were recorded using functional near-infrared spectroscopy, and the behavioral performance (i.e., target accuracy) was assessed via video recordings. Expertise- and task-related differences in cortical hemodynamics were analyzed using nonparametric threshold-free cluster enhancement. In all conditions, table tennis experts showed a higher target accuracy than novices. Furthermore, we observed expertise-related differences in widespread clusters compromising brain areas being associated with sensorimotor and multisensory integration. Novices exhibited, in general, higher activation in those areas as compared to experts. We also identified task-related differences in cortical activity including frontal, sensorimotor, and multisensory brain areas. The present findings provide empirical support for the neural efficiency hypothesis since table tennis experts as compared to novices utilized a lower amount of cortical resources to achieve superior behavioral performance. Furthermore, our findings suggest that the task complexity of different table tennis strokes is mirrored in distinct cortical activation patterns. Whether the latter findings can be useful to monitor or tailor sport-specific training interventions necessitates further investigations.
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Affiliation(s)
- Daniel Carius
- Department of Movement Neuroscience, Faculty of Sport Science, Leipzig University, 04109, Leipzig, Germany.
| | - Fabian Herold
- Faculty of Health Sciences, University of Potsdam, 14476, Potsdam, Germany
| | - Martina Clauß
- Department of Movement Neuroscience, Faculty of Sport Science, Leipzig University, 04109, Leipzig, Germany
| | - Elisabeth Kaminski
- Department of Movement Neuroscience, Faculty of Sport Science, Leipzig University, 04109, Leipzig, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
| | - Florian Wagemann
- Department of Movement Neuroscience, Faculty of Sport Science, Leipzig University, 04109, Leipzig, Germany
| | - Clemens Sterl
- Department of Movement Neuroscience, Faculty of Sport Science, Leipzig University, 04109, Leipzig, Germany
| | - Patrick Ragert
- Department of Movement Neuroscience, Faculty of Sport Science, Leipzig University, 04109, Leipzig, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
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24
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Balters S, Miller JG, Li R, Hawthorne G, Reiss AL. Virtual (Zoom) Interactions Alter Conversational Behavior and Interbrain Coherence. J Neurosci 2023; 43:2568-2578. [PMID: 36868852 PMCID: PMC10082458 DOI: 10.1523/jneurosci.1401-22.2023] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 01/10/2023] [Accepted: 01/14/2023] [Indexed: 03/05/2023] Open
Abstract
A growing number of social interactions are taking place virtually on videoconferencing platforms. Here, we explore potential effects of virtual interactions on observed behavior, subjective experience, and neural "single-brain" and "interbrain" activity via functional near-infrared spectroscopy neuroimaging. We scanned a total of 36 human dyads (72 participants, 36 males, 36 females) who engaged in three naturalistic tasks (i.e., problem-solving, creative-innovation, socio-emotional task) in either an in-person or virtual (Zoom) condition. We also coded cooperative behavior from audio recordings. We observed reduced conversational turn-taking behavior during the virtual condition. Given that conversational turn-taking was associated with other metrics of positive social interaction (e.g., subjective cooperation and task performance), this measure may be an indicator of prosocial interaction. In addition, we observed altered patterns of averaged and dynamic interbrain coherence in virtual interactions. Interbrain coherence patterns that were characteristic of the virtual condition were associated with reduced conversational turn-taking. These insights can inform the design and engineering of the next generation of videoconferencing technology.SIGNIFICANCE STATEMENT Videoconferencing has become an integral part of our lives. Whether this technology impacts behavior and neurobiology is not well understood. We explored potential effects of virtual interaction on social behavior, brain activity, and interbrain coupling. We found that virtual interactions were characterized by patterns of interbrain coupling that were negatively implicated in cooperation. Our findings are consistent with the perspective that videoconferencing technology adversely affects individuals and dyads during social interaction. As virtual interactions become even more necessary, improving the design of videoconferencing technology will be crucial for supporting effective communication.
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Affiliation(s)
- Stephanie Balters
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California 94305
| | - Jonas G Miller
- Department of Psychology, Stanford University, Stanford, California 94305
| | - Rihui Li
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California 94305
| | - Grace Hawthorne
- Department of Mechanical Engineering, Stanford University, Stanford, California 94305
| | - Allan L Reiss
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California 94305
- Department of Pediatrics, Stanford University, Stanford, California 94305
- Department of Radiology, Stanford University, Stanford, California 94305
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25
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Schroeder PA, Artemenko C, Kosie JE, Cockx H, Stute K, Pereira J, Klein F, Mehler DMA. Using preregistration as a tool for transparent fNIRS study design. NEUROPHOTONICS 2023; 10:023515. [PMID: 36908680 PMCID: PMC9993433 DOI: 10.1117/1.nph.10.2.023515] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 01/11/2023] [Indexed: 05/04/2023]
Abstract
Significance The expansion of functional near-infrared spectroscopy (fNIRS) methodology and analysis tools gives rise to various design and analytical decisions that researchers have to make. Several recent efforts have developed guidelines for preprocessing, analyzing, and reporting practices. For the planning stage of fNIRS studies, similar guidance is desirable. Study preregistration helps researchers to transparently document study protocols before conducting the study, including materials, methods, and analyses, and thus, others to verify, understand, and reproduce a study. Preregistration can thus serve as a useful tool for transparent, careful, and comprehensive fNIRS study design. Aim We aim to create a guide on the design and analysis steps involved in fNIRS studies and to provide a preregistration template specified for fNIRS studies. Approach The presented preregistration guide has a strong focus on fNIRS specific requirements, and the associated template provides examples based on continuous-wave (CW) fNIRS studies conducted in humans. These can, however, be extended to other types of fNIRS studies. Results On a step-by-step basis, we walk the fNIRS user through key methodological and analysis-related aspects central to a comprehensive fNIRS study design. These include items specific to the design of CW, task-based fNIRS studies, but also sections that are of general importance, including an in-depth elaboration on sample size planning. Conclusions Our guide introduces these open science tools to the fNIRS community, providing researchers with an overview of key design aspects and specification recommendations for comprehensive study planning. As such it can be used as a template to preregister fNIRS studies or merely as a tool for transparent fNIRS study design.
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Affiliation(s)
- Philipp A. Schroeder
- University of Tuebingen, Department of Psychology, Faculty of Science, Tuebingen, Germany
| | - Christina Artemenko
- University of Tuebingen, Department of Psychology, Faculty of Science, Tuebingen, Germany
| | - Jessica E. Kosie
- Princeton University, Social and Natural Sciences, Department of Psychology, Princeton, New Jersey, United States
| | - Helena Cockx
- Radboud University, Donders Institute for Brain, Cognition and Behaviour, Biophysics Department, Faculty of Science, Nijmegen, The Netherlands
| | - Katharina Stute
- Chemnitz University of Technology, Institute of Human Movement Science and Health, Faculty of Behavioural and Social Sciences, Chemnitz, Germany
| | - João Pereira
- University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research, Coimbra, Portugal
| | - Franziska Klein
- University of Oldenburg, Department of Psychology, Neurocognition and functional Neurorehabilitation Group, Oldenburg (Oldb), Germany
- RWTH Aachen University, Medical School, Department of Psychiatry, Psychotherapy and Psychosomatics, Aachen, Germany
| | - David M. A. Mehler
- RWTH Aachen University, Medical School, Department of Psychiatry, Psychotherapy and Psychosomatics, Aachen, Germany
- University of Münster, Institute for Translational Psychiatry, Medical School, Münster, Germany
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26
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Kvist A, Bezuidenhout L, Johansson H, Albrecht F, Ekman U, Conradsson DM, Franzén E. Using functional near-infrared spectroscopy to measure prefrontal cortex activity during dual-task walking and navigated walking: A feasibility study. Brain Behav 2023; 13:e2948. [PMID: 36917560 PMCID: PMC10097069 DOI: 10.1002/brb3.2948] [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: 09/06/2022] [Revised: 02/15/2023] [Accepted: 02/17/2023] [Indexed: 03/16/2023] Open
Abstract
INTRODUCTION While functional near-infrared spectroscopy (fNIRS) can provide insight into motor-cognitive deficits during ecologically valid gait conditions, the feasibility of using fNIRS during complex walking remains unknown. We tested the process and scientific feasibility of using an fNIRS device to measure cortical activity during complex walking tasks consisting of straight walking and navigated walking under single and dual-task (DT) conditions. METHODS Nineteen healthy people from 18 to 64 years (mean age: 45.7 years) participated in this study which consisted of three complex walking protocols: (i) straight walking, DT walking (walking while performing an auditory Stroop task) and single-task auditory Stroop, (ii) straight and navigated walking, and (iii) navigated walking and navigated DT walking. A rest condition (standing still) was also included in each protocol. Process feasibility outcomes included evaluation of the test procedures and participant experience during and after each protocol. Scientific feasibility outcomes included signal quality measures, and the ability to measure changes in concentration of deoxygenated and oxygenated hemoglobin in the prefrontal cortex. RESULTS All participants were able to complete the three protocols with most agreeing that the equipment was comfortable (57.9%) and that the testing duration was adequate (73.7%). Most participants did not feel tired (94.7%) with some experiencing pain (42.1%) during the protocols. The signal qualities were high for each protocol. Compared to the rest condition, there was an increase in oxygenated hemoglobin in the prefrontal cortex when performing dual-task walking and navigation. CONCLUSION We showed that our experimental setup was feasible for assessing activity in the prefrontal cortex with fNIRS during complex walking. The experimental setup was deemed acceptable and practicable. Signal quality was good during complex walking conditions and findings suggest that the different tasks elicit a differential brain activity, supporting scientific feasibility.
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Affiliation(s)
- Alexander Kvist
- Department of Neurobiology, Care sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden
| | - Lucian Bezuidenhout
- Department of Neurobiology, Care sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden.,Faculty of Community and Health Sciences, University of Western Cape, Cape Town, South Africa
| | - Hanna Johansson
- Department of Neurobiology, Care sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden.,Women's Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy & Physiotherapy, Karolinska University Hospital, Stockholm, Sweden
| | - Franziska Albrecht
- Department of Neurobiology, Care sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden.,Women's Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy & Physiotherapy, Karolinska University Hospital, Stockholm, Sweden
| | - Urban Ekman
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden.,Women's Health and Allied Health Professionals Theme, Medical Unit Medical Psychology, Karolinska University Hospital, Stockholm, Sweden
| | - David Moulaee Conradsson
- Department of Neurobiology, Care sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden.,Women's Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy & Physiotherapy, Karolinska University Hospital, Stockholm, Sweden
| | - Erika Franzén
- Department of Neurobiology, Care sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden.,Women's Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy & Physiotherapy, Karolinska University Hospital, Stockholm, Sweden
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27
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Paranawithana I, Mao D, McKay CM, Wong YT. Connections between spatially distant primary language regions strengthen with age during infancy, as revealed by resting-state fNIRS. J Neural Eng 2023; 20. [PMID: 36763991 DOI: 10.1088/1741-2552/acbb2d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 02/10/2023] [Indexed: 02/12/2023]
Abstract
Objective.Hearing is an important sensory function that plays a key role in how children learn to speak and develop language skills. Although previous neuroimaging studies have established that much of brain network maturation happens in early childhood, our understanding of the developmental trajectory of language areas is still very limited. We hypothesized that typical development trajectory of language areas in early childhood could be established by analyzing the changes of functional connectivity in normal hearing infants at different ages using functional near-infrared spectroscopy.Approach.Resting-state data were recorded from two bilateral temporal and prefrontal regions associated with language processing by measuring the relative changes of oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR) concentrations. Connectivity was calculated using magnitude-squared coherence of channel pairs located in (a) inter-hemispheric homologous and (b) intra-hemispheric brain regions to assess connectivity between homologous regions across hemispheres and two regions of interest in the same hemisphere, respectively.Main results.A linear regression model fitted to the age vs coherence of inter-hemispheric homologous test group revealed a significant coefficient of determination for both HbO (R2= 0.216,p= 0.0169) and HbR (R2= 0.206,p= 0.0198). A significant coefficient of determination was also found for intra-hemispheric test group for HbO (R2= 0.237,p= 0.0117) but not for HbR (R2= 0.111,p= 0.0956).Significance.The findings from HbO data suggest that both inter-hemispheric homologous and intra-hemispheric connectivity between primary language regions significantly strengthen with age in the first year of life. Mapping out the developmental trajectory of primary language areas of normal hearing infants as measured by functional connectivity could potentially allow us to better understand the altered connectivity and its effects on language delays in infants with hearing impairments.
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Affiliation(s)
- Ishara Paranawithana
- Department of Electrical and Computer Systems Engineering, Monash University, Clayton, VIC 3800, Australia.,The Bionics Institute, East Melbourne, VIC 3002, Australia
| | - Darren Mao
- The Bionics Institute, East Melbourne, VIC 3002, Australia.,Department of Medical Bionics, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Colette M McKay
- The Bionics Institute, East Melbourne, VIC 3002, Australia.,Department of Medical Bionics, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Yan T Wong
- Department of Electrical and Computer Systems Engineering, Monash University, Clayton, VIC 3800, Australia.,Department of Physiology and the Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
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28
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Patashov D, Menahem Y, Gurevitch G, Kameda Y, Goldstein D, Balberg M. fNIRS: Non-stationary preprocessing methods. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2022.104110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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29
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Klein F, Lührs M, Benitez-Andonegui A, Roehn P, Kranczioch C. Performance comparison of systemic activity correction in functional near-infrared spectroscopy for methods with and without short distance channels. NEUROPHOTONICS 2023; 10:013503. [PMID: 36248616 PMCID: PMC9555616 DOI: 10.1117/1.nph.10.1.013503] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 07/25/2022] [Indexed: 05/20/2023]
Abstract
Significance: Functional near-infrared spectroscopy (fNIRS) is a promising tool for neurofeedback (NFB) or brain-computer interfaces (BCIs). However, fNIRS signals are typically highly contaminated by systemic activity (SA) artifacts, and, if not properly corrected, NFB or BCIs run the risk of being based on noise instead of brain activity. This risk can likely be reduced by correcting for SA, in particular when short-distance channels (SDCs) are available. Literature comparing correction methods with and without SDCs is still sparse, specifically comparisons considering single trials are lacking. Aim: This study aimed at comparing the performance of SA correction methods with and without SDCs. Approach: Semisimulated and real motor task data of healthy older adults were used. Correction methods without SDCs included a simple and a more advanced spatial filter. Correction methods with SDCs included a regression approach considering only the closest SDC and two GLM-based methods, one including all eight SDCs and one using only two a priori selected SDCs as regressors. All methods were compared with data uncorrected for SA and correction performance was assessed with quality measures quantifying signal improvement and spatial specificity at single trial level. Results: All correction methods were found to improve signal quality and enhance spatial specificity as compared with the uncorrected data. Methods with SDCs usually outperformed methods without SDCs. Correction methods without SDCs tended to overcorrect the data. However, the exact pattern of results and the degree of differences observable between correction methods varied between semisimulated and real data, and also between quality measures. Conclusions: Overall, results confirmed that both Δ [ HbO ] and Δ [ HbR ] are affected by SA and that correction methods with SDCs outperform methods without SDCs. Nonetheless, improvements in signal quality can also be achieved without SDCs and should therefore be given priority over not correcting for SA.
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Affiliation(s)
- Franziska Klein
- Carl von Ossietzky University of Oldenburg, Neurocognition and Functional Neurorehabilitation Group, Neuropsychology Lab, Oldenburg, Germany
- Address all correspondence to Franziska Klein,
| | - Michael Lührs
- Maastricht University, Faculty of Psychology and Neuroscience, Maastricht, The Netherlands
- Brain Innovation B.V., Maastricht, The Netherlands
| | | | - Pauline Roehn
- Carl von Ossietzky University of Oldenburg, Neurocognition and Functional Neurorehabilitation Group, Neuropsychology Lab, Oldenburg, Germany
| | - Cornelia Kranczioch
- Carl von Ossietzky University of Oldenburg, Neurocognition and Functional Neurorehabilitation Group, Neuropsychology Lab, Oldenburg, Germany
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30
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Guérin SMR, Vincent MA, Delevoye-Turrell YN. Effects of motor pacing on frontal-hemodynamic responses during continuous upper-limb and whole-body movements. Psychophysiology 2022; 60:e14226. [PMID: 36567446 DOI: 10.1111/psyp.14226] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 09/08/2022] [Accepted: 10/15/2022] [Indexed: 12/27/2022]
Abstract
Advances in timing research advocate for the existence of two timing mechanisms (automatic vs. controlled) that are related to the level of cognitive control intervening for motor behavior regulation. In the present study, we used the functional near-infrared spectroscopy (fNIRS) cutting-edge technique to examine the hypothesis that prefrontal inhibitory control is needed to perform slow motor activities. Participants were asked to perform a sensorimotor-synchronization task at various paces (i.e., slow, close-to-spontaneous, fast). We contrasted upper-limb circle drawing to a more naturalistic behavior that required whole-body movements (i.e., steady-state walking). Results indicated that whole-body movements led to greater brain oxygenation over the motor regions when compared with upper-limb activities. The effect of motor pace was found in the walking task only, with more bilateral orbitofrontal and left dorsolateral activation at slow versus fast pace. Exploratory analyses revealed a positive correlation between the activation of the orbitofrontal and motor areas for the close-to-spontaneous pace in both tasks. Overall, results support the key role of prefrontal cognitive control in the production of slow whole-body movements. In addition, our findings confirm that upper-limb (laboratory-based) tasks might not be representative of those engaged during everyday-life motor behaviors. The fNIRS technique may be a valuable tool to decipher the neurocognitive mechanisms underlying naturalistic, adaptive motor behaviors.
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Affiliation(s)
- Ségolène M R Guérin
- Université de, UMR 9193 - SCALab - Sciences Cognitives et Sciences Affectives, France
| | - Marion A Vincent
- Université de, UMR 9193 - SCALab - Sciences Cognitives et Sciences Affectives, France
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31
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Hakimi N, Shahbakhti M, Sappia S, Horschig JM, Bronkhorst M, Floor-Westerdijk M, Valenza G, Dudink J, Colier WNJM. Estimation of Respiratory Rate from Functional Near-Infrared Spectroscopy (fNIRS): A New Perspective on Respiratory Interference. BIOSENSORS 2022; 12:bios12121170. [PMID: 36551137 PMCID: PMC9775029 DOI: 10.3390/bios12121170] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/05/2022] [Accepted: 12/08/2022] [Indexed: 05/27/2023]
Abstract
OBJECTIVE Respiration is recognized as a systematic physiological interference in functional near-infrared spectroscopy (fNIRS). However, it remains unanswered as to whether it is possible to estimate the respiratory rate (RR) from such interference. Undoubtedly, RR estimation from fNIRS can provide complementary information that can be used alongside the cerebral activity analysis, e.g., sport studies. Thus, the objective of this paper is to propose a method for RR estimation from fNIRS. Our primary presumption is that changes in the baseline wander of oxygenated hemoglobin concentration (O2Hb) signal are related to RR. METHODS fNIRS and respiratory signals were concurrently collected from subjects during controlled breathing tasks at a constant rate from 0.1 Hz to 0.4 Hz. Firstly, the signal quality index algorithm is employed to select the best O2Hb signal, and then a band-pass filter with cut-off frequencies from 0.05 to 2 Hz is used to remove very low- and high-frequency artifacts. Secondly, troughs of the filtered O2Hb signal are localized for synthesizing the baseline wander (S1) using cubic spline interpolation. Finally, the fast Fourier transform of the S1 signal is computed, and its dominant frequency is considered as RR. In this paper, two different datasets were employed, where the first one was used for the parameter adjustment of the proposed method, and the second one was solely used for testing. RESULTS The low mean absolute error between the reference and estimated RRs for the first and second datasets (2.6 and 1.3 breaths per minute, respectively) indicates the feasibility of the proposed method for RR estimation from fNIRS. SIGNIFICANCE This paper provides a novel view on the respiration interference as a source of complementary information in fNIRS.
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Affiliation(s)
- Naser Hakimi
- Artinis Medical Systems, B.V., Einsteinweg 17, 6662 PW Elst, The Netherlands
- Department of Neonatology, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Lundlaan 6, 3584 EA Utrecht, The Netherlands
| | - Mohammad Shahbakhti
- Artinis Medical Systems, B.V., Einsteinweg 17, 6662 PW Elst, The Netherlands
- Biomedical Engineering Institute, Kaunas University of Technology, K. Barsausko 59, LT-51423 Kaunas, Lithuania
| | - Sofia Sappia
- Artinis Medical Systems, B.V., Einsteinweg 17, 6662 PW Elst, The Netherlands
| | - Jörn M. Horschig
- Artinis Medical Systems, B.V., Einsteinweg 17, 6662 PW Elst, The Netherlands
| | - Mathijs Bronkhorst
- Artinis Medical Systems, B.V., Einsteinweg 17, 6662 PW Elst, The Netherlands
| | | | - Gaetano Valenza
- Bioengineering and Robotics Research Center E. Piaggio and the Department of Information Engineering, School of Engineering, University of Pisa, Via G. Caruso 16, 56122 Pisa, Italy
| | - Jeroen Dudink
- Department of Neonatology, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Lundlaan 6, 3584 EA Utrecht, The Netherlands
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Bizzego A, Neoh M, Gabrieli G, Esposito G. A Machine Learning Perspective on fNIRS Signal Quality Control Approaches. IEEE Trans Neural Syst Rehabil Eng 2022; 30:2292-2300. [PMID: 35951575 DOI: 10.1109/tnsre.2022.3198110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Despite a rise in the use of functional Near Infra-Red Spectroscopy (fNIRS) to study neural systems, fNIRS signal processing is not standardized and is highly affected by empirical and manual procedures. At the beginning of any signal processing procedure, Signal Quality Control (SQC) is critical to prevent errors and unreliable results. In fNIRS analysis, SQC currently relies on applying empirical thresholds to handcrafted Signal Quality Indicators (SQIs). In this study, we use a dataset of fNIRS signals (N = 1,340) recorded from 67 subjects, and manually label the signal quality of a subset of segments (N = 548) to investigate the pitfalls of current practices while exploring the opportunities provided by Deep Learning approaches. We show that SQIs statistically discriminate signals with bad quality, but the identification by means of empirical thresholds lacks sensitivity. Alternatively to manual thresholding, conventional machine learning models based on the SQIs have been proven more accurate, with end-to-end approaches, based on Convolutional Neural Networks, capable of further improving the performance. The proposed approach, based on machine learning, represents a more objective SQC for fNIRS and moves towards the use of fully automated and standardized procedures.
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Ayaz H, Baker WB, Blaney G, Boas DA, Bortfeld H, Brady K, Brake J, Brigadoi S, Buckley EM, Carp SA, Cooper RJ, Cowdrick KR, Culver JP, Dan I, Dehghani H, Devor A, Durduran T, Eggebrecht AT, Emberson LL, Fang Q, Fantini S, Franceschini MA, Fischer JB, Gervain J, Hirsch J, Hong KS, Horstmeyer R, Kainerstorfer JM, Ko TS, Licht DJ, Liebert A, Luke R, Lynch JM, Mesquida J, Mesquita RC, Naseer N, Novi SL, Orihuela-Espina F, O’Sullivan TD, Peterka DS, Pifferi A, Pollonini L, Sassaroli A, Sato JR, Scholkmann F, Spinelli L, Srinivasan VJ, St. Lawrence K, Tachtsidis I, Tong Y, Torricelli A, Urner T, Wabnitz H, Wolf M, Wolf U, Xu S, Yang C, Yodh AG, Yücel MA, Zhou W. Optical imaging and spectroscopy for the study of the human brain: status report. NEUROPHOTONICS 2022; 9:S24001. [PMID: 36052058 PMCID: PMC9424749 DOI: 10.1117/1.nph.9.s2.s24001] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
This report is the second part of a comprehensive two-part series aimed at reviewing an extensive and diverse toolkit of novel methods to explore brain health and function. While the first report focused on neurophotonic tools mostly applicable to animal studies, here, we highlight optical spectroscopy and imaging methods relevant to noninvasive human brain studies. We outline current state-of-the-art technologies and software advances, explore the most recent impact of these technologies on neuroscience and clinical applications, identify the areas where innovation is needed, and provide an outlook for the future directions.
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Affiliation(s)
- Hasan Ayaz
- Drexel University, School of Biomedical Engineering, Science, and Health Systems, Philadelphia, Pennsylvania, United States
- Drexel University, College of Arts and Sciences, Department of Psychological and Brain Sciences, Philadelphia, Pennsylvania, United States
| | - Wesley B. Baker
- Children’s Hospital of Philadelphia, Division of Neurology, Philadelphia, Pennsylvania, United States
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Giles Blaney
- Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States
| | - David A. Boas
- Boston University Neurophotonics Center, Boston, Massachusetts, United States
- Boston University, College of Engineering, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Heather Bortfeld
- University of California, Merced, Departments of Psychological Sciences and Cognitive and Information Sciences, Merced, California, United States
| | - Kenneth Brady
- Lurie Children’s Hospital, Northwestern University Feinberg School of Medicine, Department of Anesthesiology, Chicago, Illinois, United States
| | - Joshua Brake
- Harvey Mudd College, Department of Engineering, Claremont, California, United States
| | - Sabrina Brigadoi
- University of Padua, Department of Developmental and Social Psychology, Padua, Italy
| | - Erin M. Buckley
- Georgia Institute of Technology, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States
- Emory University School of Medicine, Department of Pediatrics, Atlanta, Georgia, United States
| | - Stefan A. Carp
- Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, United States
| | - Robert J. Cooper
- University College London, Department of Medical Physics and Bioengineering, DOT-HUB, London, United Kingdom
| | - Kyle R. Cowdrick
- Georgia Institute of Technology, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States
| | - Joseph P. Culver
- Washington University School of Medicine, Department of Radiology, St. Louis, Missouri, United States
| | - Ippeita Dan
- Chuo University, Faculty of Science and Engineering, Tokyo, Japan
| | - Hamid Dehghani
- University of Birmingham, School of Computer Science, Birmingham, United Kingdom
| | - Anna Devor
- Boston University, College of Engineering, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Turgut Durduran
- ICFO – The Institute of Photonic Sciences, The Barcelona Institute of Science and Technology, Castelldefels, Barcelona, Spain
- Institució Catalana de Recerca I Estudis Avançats (ICREA), Barcelona, Spain
| | - Adam T. Eggebrecht
- Washington University in St. Louis, Mallinckrodt Institute of Radiology, St. Louis, Missouri, United States
| | - Lauren L. Emberson
- University of British Columbia, Department of Psychology, Vancouver, British Columbia, Canada
| | - Qianqian Fang
- Northeastern University, Department of Bioengineering, Boston, Massachusetts, United States
| | - Sergio Fantini
- Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States
| | - Maria Angela Franceschini
- Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, United States
| | - Jonas B. Fischer
- ICFO – The Institute of Photonic Sciences, The Barcelona Institute of Science and Technology, Castelldefels, Barcelona, Spain
| | - Judit Gervain
- University of Padua, Department of Developmental and Social Psychology, Padua, Italy
- Université Paris Cité, CNRS, Integrative Neuroscience and Cognition Center, Paris, France
| | - Joy Hirsch
- Yale School of Medicine, Department of Psychiatry, Neuroscience, and Comparative Medicine, New Haven, Connecticut, United States
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
| | - Keum-Shik Hong
- Pusan National University, School of Mechanical Engineering, Busan, Republic of Korea
- Qingdao University, School of Automation, Institute for Future, Qingdao, China
| | - Roarke Horstmeyer
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
- Duke University, Department of Electrical and Computer Engineering, Durham, North Carolina, United States
- Duke University, Department of Physics, Durham, North Carolina, United States
| | - Jana M. Kainerstorfer
- Carnegie Mellon University, Department of Biomedical Engineering, Pittsburgh, Pennsylvania, United States
- Carnegie Mellon University, Neuroscience Institute, Pittsburgh, Pennsylvania, United States
| | - Tiffany S. Ko
- Children’s Hospital of Philadelphia, Division of Cardiothoracic Anesthesiology, Philadelphia, Pennsylvania, United States
| | - Daniel J. Licht
- Children’s Hospital of Philadelphia, Division of Neurology, Philadelphia, Pennsylvania, United States
| | - Adam Liebert
- Polish Academy of Sciences, Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Robert Luke
- Macquarie University, Department of Linguistics, Sydney, New South Wales, Australia
- Macquarie University Hearing, Australia Hearing Hub, Sydney, New South Wales, Australia
| | - Jennifer M. Lynch
- Children’s Hospital of Philadelphia, Division of Cardiothoracic Anesthesiology, Philadelphia, Pennsylvania, United States
| | - Jaume Mesquida
- Parc Taulí Hospital Universitari, Critical Care Department, Sabadell, Spain
| | - Rickson C. Mesquita
- University of Campinas, Institute of Physics, Campinas, São Paulo, Brazil
- Brazilian Institute of Neuroscience and Neurotechnology, Campinas, São Paulo, Brazil
| | - Noman Naseer
- Air University, Department of Mechatronics and Biomedical Engineering, Islamabad, Pakistan
| | - Sergio L. Novi
- University of Campinas, Institute of Physics, Campinas, São Paulo, Brazil
- Western University, Department of Physiology and Pharmacology, London, Ontario, Canada
| | | | - Thomas D. O’Sullivan
- University of Notre Dame, Department of Electrical Engineering, Notre Dame, Indiana, United States
| | - Darcy S. Peterka
- Columbia University, Zuckerman Mind Brain Behaviour Institute, New York, United States
| | | | - Luca Pollonini
- University of Houston, Department of Engineering Technology, Houston, Texas, United States
| | - Angelo Sassaroli
- Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States
| | - João Ricardo Sato
- Federal University of ABC, Center of Mathematics, Computing and Cognition, São Bernardo do Campo, São Paulo, Brazil
| | - Felix Scholkmann
- University of Bern, Institute of Complementary and Integrative Medicine, Bern, Switzerland
- University of Zurich, University Hospital Zurich, Department of Neonatology, Biomedical Optics Research Laboratory, Zürich, Switzerland
| | - Lorenzo Spinelli
- National Research Council (CNR), IFN – Institute for Photonics and Nanotechnologies, Milan, Italy
| | - Vivek J. Srinivasan
- University of California Davis, Department of Biomedical Engineering, Davis, California, United States
- NYU Langone Health, Department of Ophthalmology, New York, New York, United States
- NYU Langone Health, Department of Radiology, New York, New York, United States
| | - Keith St. Lawrence
- Lawson Health Research Institute, Imaging Program, London, Ontario, Canada
- Western University, Department of Medical Biophysics, London, Ontario, Canada
| | - Ilias Tachtsidis
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
| | - Yunjie Tong
- Purdue University, Weldon School of Biomedical Engineering, West Lafayette, Indiana, United States
| | - Alessandro Torricelli
- Politecnico di Milano, Dipartimento di Fisica, Milan, Italy
- National Research Council (CNR), IFN – Institute for Photonics and Nanotechnologies, Milan, Italy
| | - Tara Urner
- Georgia Institute of Technology, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States
| | - Heidrun Wabnitz
- Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | - Martin Wolf
- University of Zurich, University Hospital Zurich, Department of Neonatology, Biomedical Optics Research Laboratory, Zürich, Switzerland
| | - Ursula Wolf
- University of Bern, Institute of Complementary and Integrative Medicine, Bern, Switzerland
| | - Shiqi Xu
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
| | - Changhuei Yang
- California Institute of Technology, Department of Electrical Engineering, Pasadena, California, United States
| | - Arjun G. Yodh
- University of Pennsylvania, Department of Physics and Astronomy, Philadelphia, Pennsylvania, United States
| | - Meryem A. Yücel
- Boston University Neurophotonics Center, Boston, Massachusetts, United States
- Boston University, College of Engineering, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Wenjun Zhou
- University of California Davis, Department of Biomedical Engineering, Davis, California, United States
- China Jiliang University, College of Optical and Electronic Technology, Hangzhou, Zhejiang, China
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Erdoğan SB, Yükselen G. Four-Class Classification of Neuropsychiatric Disorders by Use of Functional Near-Infrared Spectroscopy Derived Biomarkers. SENSORS (BASEL, SWITZERLAND) 2022; 22:5407. [PMID: 35891088 PMCID: PMC9322944 DOI: 10.3390/s22145407] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/20/2022] [Accepted: 06/22/2022] [Indexed: 06/15/2023]
Abstract
Diagnosis of most neuropsychiatric disorders relies on subjective measures, which makes the reliability of final clinical decisions questionable. The aim of this study was to propose a machine learning-based classification approach for objective diagnosis of three disorders of neuropsychiatric or neurological origin with functional near-infrared spectroscopy (fNIRS) derived biomarkers. Thirteen healthy adolescents and sixty-seven patients who were clinically diagnosed with migraine, obsessive compulsive disorder, or schizophrenia performed a Stroop task, while prefrontal cortex hemodynamics were monitored with fNIRS. Hemodynamic and cognitive features were extracted for training three supervised learning algorithms (naïve bayes (NB), linear discriminant analysis (LDA), and support vector machines (SVM)). The performance of each algorithm in correctly predicting the class of each participant across the four classes was tested with ten runs of a ten-fold cross-validation procedure. All algorithms achieved four-class classification performances with accuracies above 81% and specificities above 94%. SVM had the highest performance in terms of accuracy (85.1 ± 1.77%), sensitivity (84 ± 1.7%), specificity (95 ± 0.5%), precision (86 ± 1.6%), and F1-score (85 ± 1.7%). fNIRS-derived features have no subjective report bias when used for automated classification purposes. The presented methodology might have significant potential for assisting in the objective diagnosis of neuropsychiatric disorders associated with frontal lobe dysfunction.
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Lim SB, Yang CL, Peters S, Liu-Ambrose T, Boyd LA, Eng JJ. Phase-dependent Brain Activation of the Frontal and Parietal Regions During Walking After Stroke - An fNIRS Study. Front Neurol 2022; 13:904722. [PMID: 35928123 PMCID: PMC9343616 DOI: 10.3389/fneur.2022.904722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 06/15/2022] [Indexed: 11/15/2022] Open
Abstract
Background Recovery of walking post-stroke is highly variable. Accurately measuring and documenting functional brain activation characteristics during walking can help guide rehabilitation. Previous work in this area has been limited to investigations of frontal brain regions and have not utilized recent technological and analytical advances for more accurate measurements. There were three aims for this study: to characterize the hemodynamic profile during walking post-stroke, to investigate regional changes in brain activation during different phases of walking, and to related brain changes to clinical measures. Methods Functional near-infrared spectroscopy (fNIRS) along the pre-frontal, premotor, sensorimotor, and posterior parietal cortices was used on twenty individuals greater than six months post-stroke. Individual fNIRS optodes were digitized and used to estimate channel locations on each participant and short separation channels were used to control for extracerebral hemodynamic changes. Participants walked at their comfortable pace several times along a hallway while brain activation was recorded. Exploratory cluster analysis was conducted to determine if there was a link between brain activation and clinical measures. Results Sustained activation was observed in the pre-frontal cortex with the ipsilesional hemisphere showing greater activation compared to the contralesional side. Sensorimotor cortex was active during the early, acceleration stage of walking only. Posterior parietal cortex showed changes in activation during the later, steady-state stage of walking. Faster gait speeds also related to increased activation in contralesional sensorimotor and posterior parietal cortices. Exploratory analysis clustered participants into two distinct groups based on their brain activation profiles and generally showed that individuals with greater activation tended to have better physical outcomes. Conclusions These findings can guide future research for obtaining adequate power and determining factors that can be used as effect modifiers to reduce inter-subject variability. Overall, this is the first study to report specific oxygenated and deoxygenated hemoglobin changes in frontal to parietal regions during walking in the stroke population. Our results shed light on the importance of measuring brain activation across the cortex and show the importance of pre-frontal, sensorimotor, and posterior parietal cortices in walking after a stroke.
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Affiliation(s)
- Shannon B. Lim
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada
- Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver, BC, Canada
| | - Chieh-ling Yang
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada
- Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver, BC, Canada
- Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Chiayi, Taiwan
| | - Sue Peters
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada
- Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver, BC, Canada
- School of Physical Therapy, Western University, London, ON, Canada
| | - Teresa Liu-Ambrose
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada
- The David Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
| | - Lara A. Boyd
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada
- The David Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
| | - Janice J. Eng
- Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada
- Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver, BC, Canada
- Centre for Hip Health and Mobility, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
- *Correspondence: Janice J. Eng
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Bálint A, Wimmer W, Caversaccio M, Weder S. Neural Activity during Audiovisual Speech Processing: Protocol for a Functional Neuroimaging Study (Preprint). JMIR Res Protoc 2022; 11:e38407. [PMID: 35727624 PMCID: PMC9239541 DOI: 10.2196/38407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/12/2022] [Accepted: 06/03/2022] [Indexed: 11/21/2022] Open
Abstract
Background Functional near-infrared spectroscopy (fNIRS) studies have demonstrated associations between hearing outcomes after cochlear implantation and plastic brain changes. However, inconsistent results make it difficult to draw conclusions. A major problem is that many variables need to be controlled. To gain further understanding, a careful preparation and planning of such a functional neuroimaging task is key. Objective Using fNIRS, our main objective is to develop a well-controlled audiovisual speech comprehension task to study brain activation in individuals with normal hearing and hearing impairment (including cochlear implant users). The task should be deductible from clinically established tests, induce maximal cortical activation, use optimal coverage of relevant brain regions, and be reproducible by other research groups. Methods The protocol will consist of a 5-minute resting state and 2 stimulation periods that are 12 minutes each. During the stimulation periods, 13-second video recordings of the clinically established Oldenburg Sentence Test (OLSA) will be presented. Stimuli will be presented in 4 different modalities: (1) speech in quiet, (2) speech in noise, (3) visual only (ie, lipreading), and (4) audiovisual speech. Each stimulus type will be repeated 10 times in a counterbalanced block design. Interactive question windows will monitor speech comprehension during the task. After the measurement, we will perform a 3D scan to digitize optode positions and verify the covered anatomical locations. Results This paper reports the study protocol. Enrollment for the study started in August 2021. We expect to publish our first results by the end of 2022. Conclusions The proposed audiovisual speech comprehension task will help elucidate neural correlates to speech understanding. The comprehensive study will have the potential to provide additional information beyond the conventional clinical standards about the underlying plastic brain changes of a hearing-impaired person. It will facilitate more precise indication criteria for cochlear implantation and better planning of rehabilitation. International Registered Report Identifier (IRRID) DERR1-10.2196/38407
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Affiliation(s)
- András Bálint
- Department of Otorhinolaryngology, Head and Neck Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Hearing Research Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Wilhelm Wimmer
- Department of Otorhinolaryngology, Head and Neck Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Hearing Research Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Marco Caversaccio
- Department of Otorhinolaryngology, Head and Neck Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Hearing Research Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Stefan Weder
- Department of Otorhinolaryngology, Head and Neck Surgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Hearing Research Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
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Ruesch A, McKnight JC, Fahlman A, Shinn-Cunningham BG, Kainerstorfer JM. Near-Infrared Spectroscopy as a Tool for Marine Mammal Research and Care. Front Physiol 2022; 12:816701. [PMID: 35111080 PMCID: PMC8801602 DOI: 10.3389/fphys.2021.816701] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 12/27/2021] [Indexed: 11/13/2022] Open
Abstract
Developments in wearable human medical and sports health trackers has offered new solutions to challenges encountered by eco-physiologists attempting to measure physiological attributes in freely moving animals. Near-infrared spectroscopy (NIRS) is one such solution that has potential as a powerful physio-logging tool to assess physiology in freely moving animals. NIRS is a non-invasive optics-based technology, that uses non-ionizing radiation to illuminate biological tissue and measures changes in oxygenated and deoxygenated hemoglobin concentrations inside tissues such as skin, muscle, and the brain. The overall footprint of the device is small enough to be deployed in wearable physio-logging devices. We show that changes in hemoglobin concentration can be recorded from bottlenose dolphins and gray seals with signal quality comparable to that achieved in human recordings. We further discuss functionality, benefits, and limitations of NIRS as a standard tool for animal care and wildlife tracking for the marine mammal research community.
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Affiliation(s)
- Alexander Ruesch
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, United States
| | - J. Chris McKnight
- Sea Mammal Research Unit, University of St Andrews, St Andrews, United Kingdom
- *Correspondence: J. Chris McKnight,
| | - Andreas Fahlman
- Fundación Oceanogràfic de la Comunitat Valenciana, Valencia, Spain
- Kolmården Wildlife Park, Kolmården, Sweden
| | - Barbara G. Shinn-Cunningham
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, United States
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States
| | - Jana M. Kainerstorfer
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, United States
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States
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Wyser DG, Kanzler CM, Salzmann L, Lambercy O, Wolf M, Scholkmann F, Gassert R. Characterizing reproducibility of cerebral hemodynamic responses when applying short-channel regression in functional near-infrared spectroscopy. NEUROPHOTONICS 2022; 9:015004. [PMID: 35265732 PMCID: PMC8901194 DOI: 10.1117/1.nph.9.1.015004] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 02/11/2022] [Indexed: 05/06/2023]
Abstract
Significance: Functional near-infrared spectroscopy (fNIRS) enables the measurement of brain activity noninvasively. Optical neuroimaging with fNIRS has been shown to be reproducible on the group level and hence is an excellent research tool, but the reproducibility on the single-subject level is still insufficient, challenging the use for clinical applications. Aim: We investigated the effect of short-channel regression (SCR) as an approach to obtain fNIRS measurements with higher reproducibility on a single-subject level. SCR simultaneously considers contributions from long- and short-separation channels and removes confounding physiological changes through the regression of the short-separation channel information. Approach: We performed a test-retest study with a hand grasping task in 15 healthy subjects using a wearable fNIRS device, optoHIVE. Relevant brain regions were localized with transcranial magnetic stimulation to ensure correct placement of the optodes. Reproducibility was assessed by intraclass correlation, correlation analysis, mixed effects modeling, and classification accuracy of the hand grasping task. Further, we characterized the influence of SCR on reproducibility. Results: We found a high reproducibility of fNIRS measurements on a single-subject level ( ICC single = 0.81 and correlation r = 0.81 ). SCR increased the reproducibility from 0.64 to 0.81 ( ICC single ) but did not affect classification (85% overall accuracy). Significant intersubject variability in the reproducibility was observed and was explained by Mayer wave oscillations and low raw signal strength. The raw signal-to-noise ratio (threshold at 40 dB) allowed for distinguishing between persons with weak and strong activations. Conclusions: We report, for the first time, that fNIRS measurements are reproducible on a single-subject level using our optoHIVE fNIRS system and that SCR improves reproducibility. In addition, we give a benchmark to easily assess the ability of a subject to elicit sufficiently strong hemodynamic responses. With these insights, we pave the way for the reliable use of fNIRS neuroimaging in single subjects for neuroscientific research and clinical applications.
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Affiliation(s)
- Dominik G. Wyser
- ETH Zurich, Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, Zurich, Switzerland
- University Hospital Zurich, University of Zurich, Biomedical Optics Research Laboratory, Department of Neonatology, Zurich, Switzerland
- Address all correspondence to Dominik G. Wyser,
| | - Christoph M. Kanzler
- ETH Zurich, Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, Zurich, Switzerland
| | - Lena Salzmann
- ETH Zurich, Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, Zurich, Switzerland
| | - Olivier Lambercy
- ETH Zurich, Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, Zurich, Switzerland
| | - Martin Wolf
- University Hospital Zurich, University of Zurich, Biomedical Optics Research Laboratory, Department of Neonatology, Zurich, Switzerland
| | - Felix Scholkmann
- University Hospital Zurich, University of Zurich, Biomedical Optics Research Laboratory, Department of Neonatology, Zurich, Switzerland
- University of Bern, Institute of Complementary and Integrative Medicine, Bern, Switzerland
| | - Roger Gassert
- ETH Zurich, Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, Zurich, Switzerland
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Ban HY, Barrett GM, Borisevich A, Chaturvedi A, Dahle JL, Dehghani H, Dubois J, Field RM, Gopalakrishnan V, Gundran A, Henninger M, Ho WC, Hughes HD, Jin R, Kates-Harbeck J, Landy T, Leggiero M, Lerner G, Aghajan ZM, Moon M, Olvera I, Park S, Patel MJ, Perdue KL, Siepser B, Sorgenfrei S, Sun N, Szczepanski V, Zhang M, Zhu Z. Kernel Flow: a high channel count scalable time-domain functional near-infrared spectroscopy system. JOURNAL OF BIOMEDICAL OPTICS 2022; 27:JBO-210278SSR. [PMID: 35043610 PMCID: PMC8765296 DOI: 10.1117/1.jbo.27.7.074710] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 12/23/2021] [Indexed: 05/26/2023]
Abstract
SIGNIFICANCE Time-domain functional near-infrared spectroscopy (TD-fNIRS) has been considered as the gold standard of noninvasive optical brain imaging devices. However, due to the high cost, complexity, and large form factor, it has not been as widely adopted as continuous wave NIRS systems. AIM Kernel Flow is a TD-fNIRS system that has been designed to break through these limitations by maintaining the performance of a research grade TD-fNIRS system while integrating all of the components into a small modular device. APPROACH The Kernel Flow modules are built around miniaturized laser drivers, custom integrated circuits, and specialized detectors. The modules can be assembled into a system with dense channel coverage over the entire head. RESULTS We show performance similar to benchtop systems with our miniaturized device as characterized by standardized tissue and optical phantom protocols for TD-fNIRS and human neuroscience results. CONCLUSIONS The miniaturized design of the Kernel Flow system allows for broader applications of TD-fNIRS.
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Affiliation(s)
- Han Y. Ban
- Kernel, Los Angeles, California, United States
| | | | | | | | | | | | | | | | | | | | | | | | | | - Rong Jin
- Kernel, Los Angeles, California, United States
| | | | - Thanh Landy
- Kernel, Los Angeles, California, United States
| | | | | | | | | | - Isai Olvera
- Kernel, Los Angeles, California, United States
| | | | | | | | | | | | - Nathan Sun
- Kernel, Los Angeles, California, United States
| | | | - Mary Zhang
- Kernel, Los Angeles, California, United States
| | - Zhenye Zhu
- Kernel, Los Angeles, California, United States
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Paranawithana I, Mao D, Wong YT, McKay CM. Reducing false discoveries in resting-state functional connectivity using short channel correction: an fNIRS study. NEUROPHOTONICS 2022; 9:015001. [PMID: 35071689 PMCID: PMC8765292 DOI: 10.1117/1.nph.9.1.015001] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 12/23/2021] [Indexed: 06/14/2023]
Abstract
Significance: Functional near-infrared spectroscopy (fNIRS) is a neuroimaging tool that can measure resting-state functional connectivity; however, non-neuronal components present in fNIRS signals introduce false discoveries in connectivity, which can impact interpretation of functional networks. Aim: We investigated the effect of short channel correction on resting-state connectivity by removing non-neuronal signals from fNIRS long channel data. We hypothesized that false discoveries in connectivity can be reduced, hence improving the discriminability of functional networks of known, different connectivity strengths. Approach: A principal component analysis-based short channel correction technique was applied to resting-state data of 10 healthy adult subjects. Connectivity was analyzed using magnitude-squared coherence of channel pairs in connectivity groups of homologous and control brain regions, which are known to differ in connectivity. Results: By removing non-neuronal components using short channel correction, significant reduction of coherence was observed for oxy-hemoglobin concentration changes in frequency bands associated with resting-state connectivity that overlap with the Mayer wave frequencies. The results showed that short channel correction reduced spurious correlations in connectivity measures and improved the discriminability between homologous and control groups. Conclusions: Resting-state functional connectivity analysis with short channel correction performs better than without correction in its ability to distinguish functional networks with distinct connectivity characteristics.
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Affiliation(s)
- Ishara Paranawithana
- Monash University, Department of Electrical and Computer Systems Engineering, Clayton, Victoria, Australia
- The Bionics Institute, East Melbourne, Victoria, Australia
| | - Darren Mao
- The Bionics Institute, East Melbourne, Victoria, Australia
- The University of Melbourne, Department of Medical Bionics, Parkville, Victoria, Australia
| | - Yan T. Wong
- Monash University, Department of Electrical and Computer Systems Engineering, Clayton, Victoria, Australia
- Monash University, Monash Biomedicine Discovery Institute, Department of Physiology, Clayton, Victoria, Australia
| | - Colette M. McKay
- The Bionics Institute, East Melbourne, Victoria, Australia
- The University of Melbourne, Department of Medical Bionics, Parkville, Victoria, Australia
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Bizzego A, Azhari A, Esposito G. Assessing Computational Methods to Quantify Mother-Child Brain Synchrony in Naturalistic Settings Based on fNIRS Signals. Neuroinformatics 2021; 20:427-436. [PMID: 34845593 DOI: 10.1007/s12021-021-09558-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/18/2021] [Indexed: 11/29/2022]
Abstract
Mother-child brain-to-brain synchrony captures the temporal similarities in brain signals between dyadic partners, and has been shown to emerge during the display of joint behaviours. Despite the rise in the number of studies that investigate synchrony in naturalistic contexts, the use of varying methodological approaches to compute synchrony remains a central problem. When dyads engage in unstructured social interactions, the wide range of behavioural cues they display contribute to the use of varying lengths of signals to compute synchrony. The present functional Near-infrared Spectroscopy (fNIRS) study investigates how different methods to quantify brain signals during joint and non-joint portions of dyadic play affect the outcome of brain-to-brain synchrony. Three strategies to cope with unstructured data are tested and different signal lengths of 15, 20, 25, 30, 35, 40, 45s were used to determine the optimal method to sensitively capture synchrony. Results showed that using all available portions of the signals generated a greater number of less conservative results compared to the other two strategies, which were to compute the average synchrony for the joint and non-joint signals portions and to compute the difference between the average synchrony of joint and non-joint portions. From the different signal durations, only length portions of 25s to 35s generated significant results. These findings demonstrate that differences in computational approaches and signal lengths affect synchrony measurements and should be considered in naturalistic synchrony studies.
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Affiliation(s)
- Andrea Bizzego
- Department of Psychology and Cognitive Science, University of Trento, Rovereto, 38068, TN, Italy
| | - Atiqah Azhari
- Psychology Program, Nanyang Technological University, Singapore, 639818, Singapore
| | - Gianluca Esposito
- Department of Psychology and Cognitive Science, University of Trento, Rovereto, 38068, TN, Italy. .,Psychology Program, Nanyang Technological University, Singapore, 639818, Singapore. .,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore.
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Li X, Lipschutz R, Hernandez SM, Biekman B, Shen S, Montgomery DA, Perlman SB, Pollonini L, Bick J. Links between socioeconomic disadvantage, neural function, and working memory in early childhood. Dev Psychobiol 2021; 63:e22181. [PMID: 34423434 DOI: 10.1002/dev.22181] [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: 10/13/2020] [Revised: 07/29/2021] [Accepted: 07/30/2021] [Indexed: 11/10/2022]
Abstract
Children reared in socioeconomically disadvantaged environments are at risk for academic, cognitive, and behavioral problems. Mounting evidence suggests that childhood adversities, encountered at disproportionate rates in contexts of socioeconomic risk, shape the developing brain in ways that explain disparities. Circuitries that subserve neurocognitive functions related to memory, attention, and cognitive control are especially affected. However, most work showing altered neural function has focused on middle childhood and adolescence. Understanding alterations in brain development during foundational points in early childhood is a key next step. To address this gap, we examined functional near-infrared-spectroscopy-based neural activation during a working memory (WM) task in young children aged 4-7 years (N = 30) who varied in socioeconomic risk exposure. Children who experienced greater disadvantage (lower income to needs ratio and lower Hollingshead index) exhibited lower activation in the lateral prefrontal cortex than children who experienced less to no disadvantage. Variability in prefrontal cortex activation, but not behavioral performance on the WM task, was associated with worse executive functioning in children as reported by parents. These findings add to existing evidence that exposure to early adversity, such as socioeconomic risk, may lead to foundational changes in the developing brain, which increases risk for disparities in functioning across multiple cognitive and social domains.
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Affiliation(s)
- Xinge Li
- Department of Psychology, University of Houston, Houston, Texas, USA
| | - Rebecca Lipschutz
- Department of Psychology, University of Houston, Houston, Texas, USA
| | | | - Brian Biekman
- Department of Psychology, University of Houston, Houston, Texas, USA
| | - Shutian Shen
- Department of Psychology, University of Houston, Houston, Texas, USA
| | | | - Susan B Perlman
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Luca Pollonini
- Department of Engineering Technology, University of Houston, Houston, Texas, USA
| | - Johanna Bick
- Department of Psychology, University of Houston, Houston, Texas, USA
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43
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Chenot Q, Lepron E, De Boissezon X, Scannella S. Functional Connectivity Within the Fronto-Parietal Network Predicts Complex Task Performance: A fNIRS Study. FRONTIERS IN NEUROERGONOMICS 2021; 2:718176. [PMID: 38235214 PMCID: PMC10790952 DOI: 10.3389/fnrgo.2021.718176] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 07/14/2021] [Indexed: 01/19/2024]
Abstract
Performance in complex tasks is essential for many high risk operators. The achievement of such tasks is supported by high-level cognitive functions arguably involving functional activity and connectivity in a large ensemble of brain areas that form the fronto-parietal network. Here we aimed at determining whether the functional connectivity at rest within this network could predict performance in a complex task: the Space Fortress video game. Functional Near Infrared Spectroscopy (fNIRS) data from 32 participants were recorded during a Resting-State period, the completion of a simple version of Space Fortress (monotask) and the original version (multitask). The intrinsic functional connectivity within the fronto-parietal network (i.e., during the Resting-State) was a significant predictor of performance at Space Fortress multitask but not at its monotask version. The same pattern was observed for the functional connectivity during the task. Our overall results suggest that Resting-State functional connectivity within the fronto-parietal network could be used as an intrinsic brain marker for performance prediction of a complex task achievement, but not for simple task performance.
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Affiliation(s)
| | | | - Xavier De Boissezon
- Toulouse NeuroImaging Center (ToNIC), Université de Toulouse, INSERM, Toulouse, France
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Costa FG, Hakimi N, Van Bel F. Neuroprotection of the Perinatal Brain by Early Information of Cerebral Oxygenation and Perfusion Patterns. Int J Mol Sci 2021; 22:ijms22105389. [PMID: 34065460 PMCID: PMC8160954 DOI: 10.3390/ijms22105389] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 05/07/2021] [Accepted: 05/17/2021] [Indexed: 02/01/2023] Open
Abstract
Abnormal patterns of cerebral perfusion/oxygenation are associated with neuronal damage. In preterm neonates, hypoxemia, hypo-/hypercapnia and lack of cerebral autoregulation are related to peri-intraventricular hemorrhages and white matter injury. Reperfusion damage after perinatal hypoxic ischemia in term neonates seems related with cerebral hyperoxygenation. Since biological tissue is transparent for near infrared (NIR) light, NIR-spectroscopy (NIRS) is a noninvasive bedside tool to monitor brain oxygenation and perfusion. This review focuses on early assessment and guiding abnormal cerebral oxygenation/perfusion patterns to possibly reduce brain injury. In term infants, early patterns of brain oxygenation helps to decide whether or not therapy (hypothermia) and add-on therapies should be considered. Further NIRS-related technical advances such as the use of (functional) NIRS allowing simultaneous estimation and integrating of heart rate, respiration rate and monitoring cerebral autoregulation will be discussed.
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Affiliation(s)
- Filipe Gonçalves Costa
- Department of Neonatology, University Medical Center Utrecht, 3584 EA Utrecht, The Netherlands; (F.G.C.); (N.H.)
| | - Naser Hakimi
- Department of Neonatology, University Medical Center Utrecht, 3584 EA Utrecht, The Netherlands; (F.G.C.); (N.H.)
- Artinis Medical Systems, B.V., 6662 PW Elst, The Netherlands
| | - Frank Van Bel
- Department of Neonatology, University Medical Center Utrecht, 3584 EA Utrecht, The Netherlands; (F.G.C.); (N.H.)
- Correspondence: ; Tel.: +31-887-554-545
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Collins-Jones LH, Cooper RJ, Bulgarelli C, Blasi A, Katus L, McCann S, Mason L, Mbye E, Touray E, Ceesay M, Moore SE, Lloyd-Fox S, Elwell CE. Longitudinal infant fNIRS channel-space analyses are robust to variability parameters at the group-level: An image reconstruction investigation. Neuroimage 2021; 237:118068. [PMID: 33915275 PMCID: PMC8285580 DOI: 10.1016/j.neuroimage.2021.118068] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 03/12/2021] [Accepted: 04/08/2021] [Indexed: 11/17/2022] Open
Abstract
First investigation of validity of longitudinal infant channel-space fNIRS analysis. Novel image reconstruction analysis conducted. Variability in array position is dominant factor driving different inferences. Channel-space fNIRS analyses robust to implicit assumptions at group-level. Hope to encourage more widespread use of image reconstruction in infant analyses.
The first 1000 days from conception to two-years of age are a critical period in brain development, and there is an increasing drive for developing technologies to help advance our understanding of neurodevelopmental processes during this time. Functional near-infrared spectroscopy (fNIRS) has enabled longitudinal infant brain function to be studied in a multitude of settings. Conventional fNIRS analyses tend to occur in the channel-space, where data from equivalent channels across individuals are combined, which implicitly assumes that head size and source-detector positions (i.e. array position) on the scalp are constant across individuals. The validity of such assumptions in longitudinal infant fNIRS analyses, where head growth is most rapid, has not previously been investigated. We employed an image reconstruction approach to analyse fNIRS data collected from a longitudinal cohort of infants in The Gambia aged 5- to 12-months. This enabled us to investigate the effect of variability in both head size and array position on the anatomical and statistical inferences drawn from the data at both the group- and the individual-level. We also sought to investigate the impact of group size on inferences drawn from the data. We found that variability in array position was the driving factor between differing inferences drawn from the data at both the individual- and group-level, but its effect was weakened as group size increased towards the full cohort size (N = 53 at 5-months, N = 40 at 8-months and N = 45 at 12-months). We conclude that, at the group sizes in our dataset, group-level channel-space analysis of longitudinal infant fNIRS data is robust to assumptions about head size and array position given the variability in these parameters in our dataset. These findings support a more widespread use of image reconstruction techniques in longitudinal infant fNIRS studies.
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Affiliation(s)
- Liam H Collins-Jones
- Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK; DOT-HUB, Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.
| | - Robert J Cooper
- Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK; DOT-HUB, Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK
| | - Chiara Bulgarelli
- Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK
| | - Anna Blasi
- Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK
| | - Laura Katus
- Centre for Family Research, University of Cambridge, Cambridge, UK; Department of Psychology, University of Cambridge, Cambridge, UK
| | - Samantha McCann
- Department of Women and Children's Health, Kings College London, London, UK
| | - Luke Mason
- Centre for Brain and Cognitive Development, Birkbeck College, London, UK
| | - Ebrima Mbye
- MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, UK
| | - Ebou Touray
- MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, UK
| | - Mohammed Ceesay
- MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, UK
| | - Sophie E Moore
- Department of Women and Children's Health, Kings College London, London, UK; MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, UK
| | - Sarah Lloyd-Fox
- Centre for Family Research, University of Cambridge, Cambridge, UK
| | - Clare E Elwell
- Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK
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White BR, Padawer-Curry JA, Ko T, Baker W, Breimann J, Cohen AS, Licht DJ, Yodh AG. Wavelength censoring for spectroscopy in optical functional neuroimaging. Phys Med Biol 2021; 66:065026. [PMID: 33326946 DOI: 10.1088/1361-6560/abd418] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Optical neuromonitoring provides insight into neurovascular physiology and brain structure and function. These methods rely on spectroscopy to relate light absorption changes to variation of concentrations of physiologic chromophores such as oxy- and deoxyhemoglobin. In clinical or preclinical practice, data quality can vary significantly across wavelengths. In such situations, standard spectroscopic methods may perform poorly, resulting in data loss and limiting field-of-view. To address this issue, and thereby improve the robustness of optical neuromonitoring, we develop, in this manuscript, novel methods to perform spectroscopy even when data quality exhibits wavelength-dependent spatial variation. We sought to understand the impact of spatial, wavelength-based censoring on the physiologic accuracy and utility of hemoglobin spectroscopy. The principles of our analysis are quite general, but to make the methodology tangible we focused on optical intrinsic signal imaging of resting-state functional connectivity in mice. Starting with spectroscopy using four sources, all possible subset spectroscopy matrices were assessed theoretically, using simulated data, and using experimental data. These results were compared against the use of the full spectroscopy matrix to determine which subsets yielded robust results. Our results demonstrated that accurate calculation of changes in hemoglobin concentrations and the resulting functional connectivity network maps was possible even with censoring of some wavelengths. Additionally, we found that the use of changes in total hemoglobin (rather than oxy- or deoxyhemoglobin) yielded results more robust to experimental noise and allowed for the preservation of more data. This new and rigorous image processing method should improve the fidelity of clinical and preclinical functional neuroimaging studies.
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Affiliation(s)
- Brian R White
- Division of Pediatric Cardiology, Department of Pediatrics, The Children's Hospital of Philadelphia and The Perelman School of Medicine at the University of Pennsylvania, 3401 Civic Center Blvd., Pediatric Cardiology-8NW, Philadelphia, PA 19104, United States of America
| | - Jonah A Padawer-Curry
- Division of Neurology, Department of Pediatrics, The Children's Hospital of Philadelphia and The Perelman School of Medicine at the University of Pennsylvania, United States of America
| | - Tiffany Ko
- Division of Neurology, Department of Pediatrics, The Children's Hospital of Philadelphia and The Perelman School of Medicine at the University of Pennsylvania, United States of America
| | - Wesley Baker
- Division of Neurology, Department of Pediatrics, The Children's Hospital of Philadelphia and The Perelman School of Medicine at the University of Pennsylvania, United States of America
| | - Jake Breimann
- Division of Neurology, Department of Pediatrics, The Children's Hospital of Philadelphia and The Perelman School of Medicine at the University of Pennsylvania, United States of America
| | - Akiva S Cohen
- Department of Anesthesiology and Critical Care Medicine, The Children's Hospital of Philadelphia. 3615 Civic Center Blvd., Abramson Research Center, Room 816-H, Philadelphia, PA 19104, United States of America
| | - Daniel J Licht
- Division of Neurology, Department of Pediatrics, The Children's Hospital of Philadelphia and The Perelman School of Medicine at the University of Pennsylvania, United States of America
| | - Arjun G Yodh
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, United States of America
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Feasibility of combining functional near-infrared spectroscopy with electroencephalography to identify chronic stroke responders to cerebellar transcranial direct current stimulation-a computational modeling and portable neuroimaging methodological study. THE CEREBELLUM 2021; 20:853-871. [PMID: 33675516 DOI: 10.1007/s12311-021-01249-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/21/2021] [Indexed: 10/22/2022]
Abstract
Feasibility of portable neuroimaging of cerebellar transcranial direct current stimulation (ctDCS) effects on the cerebral cortex has not been investigated vis-à-vis cerebellar lobular electric field strength. We studied functional near-infrared spectroscopy (fNIRS) in conjunction with electroencephalography (EEG) to measure changes in the brain activation at the prefrontal cortex (PFC) and the sensorimotor cortex (SMC) following ctDCS as well as virtual reality-based balance training (VBaT) before and after ctDCS treatment in 12 hemiparetic chronic stroke survivors. We performed general linear modeling (GLM) that putatively associated the lobular electric field strength with the changes in the fNIRS-EEG measures at the ipsilesional and contra-lesional PFC and SMC. Here, fNIRS-EEG measures were found in the latent space from canonical correlation analysis (CCA) between the changes in total hemoglobin (tHb) concentrations (0.01-0.07Hz and 0.07-0.13Hz bands) and log10-transformed EEG bandpower within 1-45 Hz where significant (Wilks' lambda>0.95) canonical correlations were found only for the 0.07-0.13-Hz band. Also, the first principal component (97.5% variance accounted for) of the mean lobular electric field strength was a good predictor of the latent variables of oxy-hemoglobin (O2Hb) concentrations and log10-transformed EEG bandpower. GLM also provided insights into non-responders to ctDCS who also performed poorly in the VBaT due to ideomotor apraxia. Future studies should investigate fNIRS-EEG joint-imaging in a larger cohort to identify non-responders based on GLM fitting to the fNIRS-EEG data.
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Shoushtarian M, Alizadehsani R, Khosravi A, Acevedo N, McKay CM, Nahavandi S, Fallon JB. Objective measurement of tinnitus using functional near-infrared spectroscopy and machine learning. PLoS One 2020; 15:e0241695. [PMID: 33206675 PMCID: PMC7673524 DOI: 10.1371/journal.pone.0241695] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 10/19/2020] [Indexed: 12/19/2022] Open
Abstract
Chronic tinnitus is a debilitating condition which affects 10-20% of adults and can severely impact their quality of life. Currently there is no objective measure of tinnitus that can be used clinically. Clinical assessment of the condition uses subjective feedback from individuals which is not always reliable. We investigated the sensitivity of functional near-infrared spectroscopy (fNIRS) to differentiate individuals with and without tinnitus and to identify fNIRS features associated with subjective ratings of tinnitus severity. We recorded fNIRS signals in the resting state and in response to auditory or visual stimuli from 25 individuals with chronic tinnitus and 21 controls matched for age and hearing loss. Severity of tinnitus was rated using the Tinnitus Handicap Inventory and subjective ratings of tinnitus loudness and annoyance were measured on a visual analogue scale. Following statistical group comparisons, machine learning methods including feature extraction and classification were applied to the fNIRS features to classify patients with tinnitus and controls and differentiate tinnitus at different severity levels. Resting state measures of connectivity between temporal regions and frontal and occipital regions were significantly higher in patients with tinnitus compared to controls. In the tinnitus group, temporal-occipital connectivity showed a significant increase with subject ratings of loudness. Also in this group, both visual and auditory evoked responses were significantly reduced in the visual and auditory regions of interest respectively. Naïve Bayes classifiers were able to classify patients with tinnitus from controls with an accuracy of 78.3%. An accuracy of 87.32% was achieved using Neural Networks to differentiate patients with slight/ mild versus moderate/ severe tinnitus. Our findings show the feasibility of using fNIRS and machine learning to develop an objective measure of tinnitus. Such a measure would greatly benefit clinicians and patients by providing a tool to objectively assess new treatments and patients' treatment progress.
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Affiliation(s)
- Mehrnaz Shoushtarian
- The Bionics Institute, East Melbourne, Victoria, Australia
- Medical Bionics Department, The University of Melbourne, Melbourne, Australia
| | - Roohallah Alizadehsani
- Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Melbourne, Australia
| | - Abbas Khosravi
- Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Melbourne, Australia
| | - Nicola Acevedo
- The Bionics Institute, East Melbourne, Victoria, Australia
| | - Colette M. McKay
- The Bionics Institute, East Melbourne, Victoria, Australia
- Medical Bionics Department, The University of Melbourne, Melbourne, Australia
| | - Saeid Nahavandi
- Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Melbourne, Australia
| | - James B. Fallon
- The Bionics Institute, East Melbourne, Victoria, Australia
- Medical Bionics Department, The University of Melbourne, Melbourne, Australia
- Department of Otolaryngology, The University of Melbourne, Melbourne, Australia
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Sappia MS, Hakimi N, Colier WNJM, Horschig JM. Signal quality index: an algorithm for quantitative assessment of functional near infrared spectroscopy signal quality. BIOMEDICAL OPTICS EXPRESS 2020; 11:6732-6754. [PMID: 33282521 PMCID: PMC7687963 DOI: 10.1364/boe.409317] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 10/14/2020] [Accepted: 10/19/2020] [Indexed: 05/23/2023]
Abstract
We propose the signal quality index (SQI) algorithm as a novel tool for quantitatively assessing the functional near infrared spectroscopy (fNIRS) signal quality in a numeric scale from 1 (very low quality) to 5 (very high quality). The algorithm comprises two preprocessing steps followed by three consecutive rating stages. The results on a dataset annotated by independent fNIRS experts showed SQI performed significantly better (p<0.05) than PHOEBE (placing headgear optodes efficiently before experimentation) and SCI (scalp coupling index), two existing algorithms, in both quantitatively rating and binary classifying the fNIRS signal quality. Employment of the proposed algorithm to estimate the signal quality before processing the fNIRS signals increases certainty in the interpretations.
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Affiliation(s)
- M. Sofía Sappia
- Artinis Medical Systems, B.V., Einsteinweg 17, 6662 PW Elst, The Netherlands
- Radboud University Nijmegen, Donders Institute for Brain, Behaviour and Cognition, 6525 EN Nijmegen, The Netherlands
- These authors contributed equally to this work
| | - Naser Hakimi
- Artinis Medical Systems, B.V., Einsteinweg 17, 6662 PW Elst, The Netherlands
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Lundlaan 6, Utrecht 3584 EA, The Netherlands
- These authors contributed equally to this work
| | | | - Jörn M. Horschig
- Artinis Medical Systems, B.V., Einsteinweg 17, 6662 PW Elst, The Netherlands
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50
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Pollonini L, Hernandez SAM, Park L, Miao H, Mathis K, Ahn H. Functional Near-Infrared Spectroscopy to Assess Central Pain Responses in a Nonpharmacologic Treatment Trial of Osteoarthritis. J Neuroimaging 2020; 30:808-814. [PMID: 32896933 PMCID: PMC7719610 DOI: 10.1111/jon.12782] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 07/31/2020] [Accepted: 08/21/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND AND PURPOSE Knee osteoarthritis (OA) is a common source of pain in older adults. Although OA-induced pain can be relieved with analgesics and anti-inflammatory drugs, the current opioid epidemic is fostering the exploration of nonpharmacologic strategies for pain mitigation. Amongs these, transcranial direct current stimulation (tDCS) and mindfulness-based meditation (MBM) hold potential for pain-relief efficacy due to their neuromodulatory effects of the central nervous system, which is known to play a fundamental role in pain perception and processing. METHODS In this double-blind study, we used functional near-infrared spectroscopy (fNIRS) to investigate the effects of tDCS combined with MBM on underlying pain processing mechanisms at the central nervous level in older adults with knee OA. Nineteen subjects were randomly assigned to two groups undergoing a 10-day active tDCS and MBM regimen and a sham tDCS and MBM regimen, respectively. RESULTS Our results showed that the neuromodulatory intervention significantly relieved pain only in the group receiving active treatment. We also found that only the active treatment group showed a significant increase in oxyhemoglobin activation of the superior motor and somatosensory cortices colocated to the placement of the tDCS anodal electrode. To our knowledge, this is the first study in which the combined effect of tDCS and MBM is investigated using fNIRS. CONCLUSION In conclusion, fNIRS can be effectively used to investigate neural mechanisms of pain at the cortical level in association with nonpharmacological, self-administered treatments.
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Affiliation(s)
- Luca Pollonini
- Department of Engineering Technology, University of Houston, Houston, TX, USA
- Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA
| | | | - Lindsey Park
- Cizik School of Nursing, University of Texas Health Science Center, Houston, TX, USA
| | - Hongyu Miao
- School of Public Health, University of Texas Health Science Center, Houston, TX, USA
| | - Kenneth Mathis
- Department of Orthopedic Surgery, School of Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Hyochol Ahn
- Cizik School of Nursing, University of Texas Health Science Center, Houston, TX, USA
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