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Girolamo T, Parker TC, Eigsti IM. Incorporating Dis/ability Studies and Critical Race Theory to combat systematic exclusion of Black, Indigenous, and People of Color in clinical neuroscience. Front Neurosci 2022; 16:988092. [PMID: 36161181 PMCID: PMC9495932 DOI: 10.3389/fnins.2022.988092] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 08/19/2022] [Indexed: 11/13/2022] Open
Abstract
This article reviews some of the ideological forces contributing to the systematic exclusion of Black, Indigenous, and People of Color (BIPOC) in clinical neuroscience. Limitations of functional near-infrared spectroscopy (fNIRS) and other methods systematically exclude individuals with coarse or curly hair and darker skin. Despite these well-known limitations, clinical neuroscience manuscripts frequently fail to report participant race or ethnicity or reasons for excluding participants. Grounding the discussion in Dis/ability Studies and Critical Race Theory (DisCrit), we review factors that exacerbate exclusion and contribute to the multiple marginalization of BIPOC, including (a) general methodological issues, (b) perceptions about race and disability, and (c) underreporting of methods. We also present solutions. Just as scientific practices changed in response to the replication crisis, we advocate for greater attention to the crisis of underrepresentation in clinical neuroscience and provide strategies that serve to make the field more inclusive.
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Affiliation(s)
- Teresa Girolamo
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, United States
| | - Termara C. Parker
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, United States
| | - Inge-Marie Eigsti
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, United States
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202
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Jiang S, Carpenter LL, Jiang H. Optical neuroimaging: advancing transcranial magnetic stimulation treatments of psychiatric disorders. Vis Comput Ind Biomed Art 2022; 5:22. [PMID: 36071259 PMCID: PMC9452613 DOI: 10.1186/s42492-022-00119-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 08/22/2022] [Indexed: 11/10/2022] Open
Abstract
Transcranial magnetic stimulation (TMS) has been established as an important and effective treatment for various psychiatric disorders. However, its effectiveness has likely been limited due to the dearth of neuronavigational tools for targeting purposes, unclear ideal stimulation parameters, and a lack of knowledge regarding the physiological response of the brain to TMS in each psychiatric condition. Modern optical imaging modalities, such as functional near-infrared spectroscopy and diffuse optical tomography, are promising tools for the study of TMS optimization and functional targeting in psychiatric disorders. They possess a unique combination of high spatial and temporal resolutions, portability, real-time capability, and relatively low costs. In this mini-review, we discuss the advent of optical imaging techniques and their innovative use in several psychiatric conditions including depression, panic disorder, phobias, and eating disorders. With further investment and research in the development of these optical imaging approaches, their potential will be paramount for the advancement of TMS treatment protocols in psychiatry.
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203
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Laha M, Konar A, Rakshit P, Nagar AK. Hemodynamic Analysis for Olfactory Perceptual Degradation Assessment Using Generalized Type-2 Fuzzy Regression. IEEE Trans Cogn Dev Syst 2022. [DOI: 10.1109/tcds.2021.3101897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Mousumi Laha
- Department of Electronics and Tele-Communication Engineering, Jadavpur University, Kolkata, India
| | - Amit Konar
- Department of Electronics and Tele-Communication Engineering, Jadavpur University, Kolkata, India
| | - Pratyusha Rakshit
- Department of Electronics and Tele-Communication Engineering, Jadavpur University, Kolkata, India
| | - Atulya K. Nagar
- Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, U.K
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204
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Li R, Bruno JL, Lee CH, Bartholomay KL, Sundstrom J, Piccirilli A, Jordan T, Miller JG, Lightbody AA, Reiss AL. Aberrant brain network and eye gaze patterns during natural social interaction predict multi-domain social-cognitive behaviors in girls with fragile X syndrome. Mol Psychiatry 2022; 27:3768-3776. [PMID: 35595977 DOI: 10.1038/s41380-022-01626-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 05/07/2022] [Accepted: 05/12/2022] [Indexed: 02/08/2023]
Abstract
Girls with fragile X syndrome (FXS) often manifest significant symptoms of avoidance, anxiety, and arousal, particularly in the context of social interaction. However, little is currently known about the associations among neurobiological, biobehavioral such as eye gaze pattern, and social-cognitive dysfunction in real-world settings. In this study, we sought to characterize brain network properties and eye gaze patterns in girls with FXS during natural social interaction. Participants included 42 girls with FXS and 31 age- and verbal IQ-matched girls (control). Portable functional near-infrared spectroscopy (fNIRS) and an eye gaze tracker were used to investigate brain network alterations and eye gaze patterns associated with social-cognitive dysfunction in girls with FXS during a structured face-to-face conversation. Compared to controls, girls with FXS showed significantly increased inter-regional functional connectivity and greater excitability within the prefrontal cortex (PFC), frontal eye field (FEF) and superior temporal gyrus (STG) during the conversation. Girls with FXS showed significantly less eye contact with their conversational partner and more unregulated eye gaze behavior compared to the control group. We also demonstrated that a machine learning approach based on multimodal data, including brain network properties and eye gaze patterns, was predictive of multiple domains of social-cognitive behaviors in girls with FXS. Our findings expand current knowledge of neural mechanisms and eye gaze behaviors underlying naturalistic social interaction in girls with FXS. These results could be further evaluated and developed as intermediate phenotypic endpoints for treatment trial evaluation in girls with FXS.
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Affiliation(s)
- Rihui Li
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA.
| | - Jennifer L Bruno
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Cindy H Lee
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Kristi L Bartholomay
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Jamie Sundstrom
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Aaron Piccirilli
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Tracy Jordan
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Jonas G Miller
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Amy A Lightbody
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Allan L Reiss
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, 94305, USA
- Departments of Radiology and Pediatrics, Stanford University, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, 94305, USA
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205
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Sened H, Zilcha-Mano S, Shamay-Tsoory S. Inter-brain plasticity as a biological mechanism of change in psychotherapy: A review and integrative model. Front Hum Neurosci 2022; 16:955238. [PMID: 36092652 PMCID: PMC9458846 DOI: 10.3389/fnhum.2022.955238] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 08/04/2022] [Indexed: 11/26/2022] Open
Abstract
Recent models of psychopathology and psychotherapy highlight the importance of interpersonal factors. The current review offers a biological perspective on these interpersonal processes by examining inter-brain synchrony—the coupling of brain activity between people interacting with one another. High inter-brain synchrony is associated with better relationships in therapy and in daily life, while deficits in the ability to achieve inter-brain synchrony are associated with a variety of psychological and developmental disorders. The review suggests that therapy improves patients’ ability to achieve such synchrony through inter-brain plasticity—a process by which recurring exposure to high inter-brain synchrony leads to lasting change in a person’s overall ability to synchronize. Therapeutic sessions provide repeated situations with high inter-brain synchrony. This can lead to a long-term increase in the ability to synchronize, first with the therapist, then generalized to other interpersonal relationships, ultimately leading to symptom reduction. The proposed inter-brain plasticity model offers a novel biological framework for understanding relational change in psychotherapy and its links to various forms of psychopathology and provides testable hypotheses for future research. Understanding this mechanism may help improve existing psychotherapy methods and develop new ones.
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206
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Henze GI, Rosenbaum D, Bärt C, Laicher H, Konzok J, Kudielka BM, Fallgatter AJ, Wüst S, Ehlis AC, Kreuzpointner L. Comparing two psychosocial stress paradigms for imaging environments - ScanSTRESS and fNIRS-TSST: correlation structures between stress responses. Behav Brain Res 2022; 436:114080. [PMID: 36030907 DOI: 10.1016/j.bbr.2022.114080] [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: 09/13/2021] [Revised: 08/22/2022] [Accepted: 08/23/2022] [Indexed: 11/17/2022]
Abstract
The present post-hoc analysis of two independent studies conducted in different laboratories aimed at comparing reactions of stress activation systems in response to two different psychosocial stress induction paradigms. Both paradigms are based on the Trier Social Stress Test and suited for neuroimaging environments. In an in-depth analysis, data from 67 participants (36 men, 31 women) from a functional magnetic resonance imaging study implementing ScanSTRESS were compared with data from a functional near-infrared spectroscopy (fNIRS) study implementing the so-called 'fNIRS-TSST' including 45 participants (8 men, 37 women). We tested the equivalence of correlation patterns between the stress response measures cortisol, heart rate, affect, and neural responses in the two samples. Moreover, direct comparisons of affective and neural responses were made. Similar correlation structures were identified for all stress activation systems, except for neural contrasts of paradigm conditions (stress vs. control) showing significant differences in association with cortisol, heart rate, and affective variables between the two samples. Furthermore, both stress paradigms elicited comparable affective and cortical stress responses. Apart from methodological differences (e.g., procedure, timing of the paradigms) the present analysis suggests that both paradigms are capable of inducing moderate acute psychosocial stress to a comparable extent with regard to affective and cortical stress responses. Moreover, similar association structures between different stress response systems were found in both studies. Thus, depending on the study objective and the respective advantages of each imaging approach, both paradigms have demonstrated their usefulness for future studies.
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Affiliation(s)
| | - David Rosenbaum
- Department of Psychiatry and Psychotherapy, University Hospital of Tübingen, Tübingen, Germany; Tübingen Center for Mental Health (TüCMH), Tübingen, Germany.
| | - Christoph Bärt
- Institute of Psychology, University of Regensburg, Regensburg, Germany.
| | - Hendrik Laicher
- Department of Psychiatry and Psychotherapy, University Hospital of Tübingen, Tübingen, Germany; Tübingen Center for Mental Health (TüCMH), Tübingen, Germany.
| | - Julian Konzok
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Germany.
| | | | - Andreas J Fallgatter
- Department of Psychiatry and Psychotherapy, University Hospital of Tübingen, Tübingen, Germany; Tübingen Center for Mental Health (TüCMH), Tübingen, Germany.
| | - Stefan Wüst
- Institute of Psychology, University of Regensburg, Regensburg, Germany.
| | - Ann-Christine Ehlis
- Department of Psychiatry and Psychotherapy, University Hospital of Tübingen, Tübingen, Germany; Tübingen Center for Mental Health (TüCMH), Tübingen, Germany.
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207
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McLinden J, Borgheai B, Hosni S, Kumar C, Rahimi N, Shao M, Spencer KM, Shahriari Y. Individual-Specific Characterization of Event-Related Hemodynamic Responses during an Auditory Task: An Exploratory Study. Behav Brain Res 2022; 436:114074. [PMID: 36028001 DOI: 10.1016/j.bbr.2022.114074] [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: 03/04/2022] [Revised: 08/11/2022] [Accepted: 08/21/2022] [Indexed: 11/24/2022]
Abstract
Functional near-infrared spectroscopy (fNIRS) has been established as an informative modality for understanding the hemodynamic-metabolic correlates of cortical auditory processing. To date, such knowledge has shown broad clinical applications in the diagnosis, treatment, and intervention procedures in disorders affecting auditory processing; however, exploration of the hemodynamic response to auditory tasks is yet incomplete. This holds particularly true in the context of auditory event-related fNIRS experiments, where preliminary work has shown the presence of valid responses while leaving the need for more comprehensive explorations of the hemodynamic correlates of event-related auditory processing. In this study, we apply an individual-specific approach to characterize fNIRS-based hemodynamic changes during an auditory task in healthy adults. Oxygenated hemoglobin (HbO2) concentration change time courses were acquired from eight participants. Independent component analysis (ICA) was then applied to isolate individual-specific class discriminative spatial filters, which were then applied to HbO2 time courses to extract auditory-related hemodynamic features. While six of eight participants produced significant class discriminative features before ICA-based spatial filtering, the proposed method identified significant auditory hemodynamic features in all participants. Furthermore, ICA-based filtering improved correlation between trial labels and extracted features in every participant. For the first time, this study demonstrates hemodynamic features important in experiments exploring auditory processing as well as the utility of individual-specific ICA-based spatial filtering in fNIRS-based feature extraction techniques in auditory experiments. These outcomes provide insights for future studies exploring auditory hemodynamic characteristics and may eventually provide a baseline framework for better understanding auditory response dysfunctions in clinical populations.
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Affiliation(s)
- J McLinden
- Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, USA
| | - B Borgheai
- Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, USA
| | - S Hosni
- Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, USA
| | - C Kumar
- Department of Computer and Information Science, University of Massachusetts Dartmouth, MA
| | - N Rahimi
- Department of Computer and Information Science, University of Massachusetts Dartmouth, MA
| | - M Shao
- Department of Computer and Information Science, University of Massachusetts Dartmouth, MA
| | - K M Spencer
- Department of Psychiatry, VA Boston Healthcare System and Harvard Medical School, Jamaica Plain, Boston, MA, USA
| | - Y Shahriari
- Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, USA.
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208
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Effects of Caffeine on Performances of Simulated Match, Wingate Anaerobic Test, and Cognitive Function Test of Elite Taekwondo Athletes in Hong Kong. Nutrients 2022; 14:nu14163398. [PMID: 36014906 PMCID: PMC9414007 DOI: 10.3390/nu14163398] [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: 07/02/2022] [Revised: 08/15/2022] [Accepted: 08/15/2022] [Indexed: 11/16/2022] Open
Abstract
This study aimed to investigate the effects of caffeine on performances of simulated match, Wingate Anaerobic Test (WAnT), and cognitive function test of elite taekwondo athletes. Ten elite taekwondo athletes in Hong Kong volunteered to participate in two main trials in a randomized double-blinded crossover design. In each main trial, 1 h after consuming a drink with caffeine (CAF) or a placebo drink without caffeine (PLA), the participants completed two simulated taekwondo match sessions followed by the WAnT. The participants were instructed to complete three cognitive function tests, namely the Eriksen Flanker Test (EFT), Stroop Test, and Rapid Visual Information Processing Test, at baseline, before exercise, and immediately after the simulated matches. They were also required to wear functional near-infrared spectroscopy equipment during these tests. Before exercise, the reaction time in the EFT was shorter in the CAF trial than in the PLA trial (PLA: 494.9 ± 49.2 ms vs. CAF: 467.9 ± 38.0 ms, p = 0.035). In the WAnT, caffeine intake increased the peak power and mean power per unit of body weight (by approximately 13% and 6%, respectively, p = 0.018 & 0.042). The performance in the simulated matches was not affected by caffeine intake (p = 0.168). In conclusion, caffeine intake enhances anaerobic power and may improve certain cognitive functions of elite taekwondo athletes in Hong Kong. However, this may not be enough to improve the simulated match performance.
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209
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Zhou G, Chen Y, Wang X, Wei H, Huang Q, Li L. The correlations between kinematic profiles and cerebral hemodynamics suggest changes of motor coordination in single and bilateral finger movement. Front Hum Neurosci 2022; 16:957364. [PMID: 36061505 PMCID: PMC9433536 DOI: 10.3389/fnhum.2022.957364] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 07/08/2022] [Indexed: 11/23/2022] Open
Abstract
Objective The correlation between the performance of coordination movement and brain activity is still not fully understood. The current study aimed to identify activated brain regions and brain network connectivity changes for several coordinated finger movements with different difficulty levels and to correlate the brain hemodynamics and connectivity with kinematic performance. Methods Twenty-one right-dominant-handed subjects were recruited and asked to complete circular motions of single and bilateral fingers in the same direction (in-phase, IP) and in opposite directions (anti-phase, AP) on a plane. Kinematic data including radius and angular velocity at each task and synchronized blood oxygen concentration data using functional near-infrared spectroscopy (fNIRS) were recorded covering six brain regions including the prefrontal cortex, motor cortex, and occipital lobes. A general linear model was used to locate activated brain regions, and changes compared with baseline in blood oxygen concentration were used to evaluate the degree of brain region activation. Small-world properties, clustering coefficients, and efficiency were used to measure information interaction in brain activity during the movement. Result It was found that the radius error of the dominant hand was significantly lower than that of the non-dominant hand (p < 0.001) in both clockwise and counterclockwise movements. The fNIRS results confirmed that the contralateral brain region was activated during single finger movement and the dominant motor area was activated in IP movement, while both motor areas were activated simultaneously in AP movement. The Δhbo were weakly correlated with radius errors (p = 0.002). Brain information interaction in IP movement was significantly larger than that from AP movement in the brain network (p < 0.02) in the right prefrontal cortex. Brain activity in the right motor cortex reduces motor performance (p < 0.001), while the right prefrontal cortex region promotes it (p < 0.05). Conclusion Our results suggest there was a significant correlation between motion performance and brain activation level, as well as between motion deviation and brain functional connectivity. The findings may provide a basis for further exploration of the operation of complex brain networks.
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Affiliation(s)
- Guangquan Zhou
- School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Yuzhao Chen
- School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Xiaohan Wang
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
| | - Hao Wei
- School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Qinghua Huang
- School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an, China
| | - Le Li
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
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210
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Jackson ES, Dravida S, Zhang X, Noah JA, Gracco V, Hirsch J. Activation in Right Dorsolateral Prefrontal Cortex Underlies Stuttering Anticipation. NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.) 2022; 3:469-494. [PMID: 37216062 PMCID: PMC10158639 DOI: 10.1162/nol_a_00073] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 05/16/2022] [Indexed: 05/24/2023]
Abstract
People who stutter learn to anticipate many of their overt stuttering events. Despite the critical role of anticipation, particularly how responses to anticipation shape stuttering behaviors, the neural bases associated with anticipation are unknown. We used a novel approach to identify anticipated and unanticipated words, which were produced by 22 adult stutterers in a delayed-response task while hemodynamic activity was measured using functional near infrared spectroscopy (fNIRS). Twenty-two control participants were included such that each individualized set of anticipated and unanticipated words was produced by one stutterer and one control participant. We conducted an analysis on the right dorsolateral prefrontal cortex (R-DLPFC) based on converging lines of evidence from the stuttering and cognitive control literatures. We also assessed connectivity between the R-DLPFC and right supramarginal gyrus (R-SMG), two key nodes of the frontoparietal network (FPN), to assess the role of cognitive control, and particularly error-likelihood monitoring, in stuttering anticipation. All analyses focused on the five-second anticipation phase preceding the go signal to produce speech. The results indicate that anticipated words are associated with elevated activation in the R-DLPFC, and that compared to non-stutterers, stutterers exhibit greater activity in the R-DLPFC, irrespective of anticipation. Further, anticipated words are associated with reduced connectivity between the R-DLPFC and R-SMG. These findings highlight the potential roles of the R-DLPFC and the greater FPN as a neural substrate of stuttering anticipation. The results also support previous accounts of error-likelihood monitoring and action-stopping in stuttering anticipation. Overall, this work offers numerous directions for future research with clinical implications for targeted neuromodulation.
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Affiliation(s)
- Eric S. Jackson
- Department of Communicative Sciences and Disorders, New York University, New York, USA
| | - Swethasri Dravida
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Xian Zhang
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - J. Adam Noah
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Vincent Gracco
- Haskins Laboratories, New Haven, CT, USA
- McGill University, Montreal, Canada
| | - Joy Hirsch
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
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211
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Sirant LW, Singh J, Martin S, Gaul CA, Stuart-Hill L, Candow DG, Mang C, Neary JP. Long-term effects of multiple concussions on prefrontal cortex oxygenation during repeated squat-stands in retired contact sport athletes. Brain Inj 2022; 36:931-938. [PMID: 35968581 DOI: 10.1080/02699052.2022.2109737] [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: 11/02/2022]
Abstract
BACKGROUND This study investigated the long-term effects of multiple concussions on prefrontal cortex oxygenation using near-infrared spectroscopy (NIRS) during a squat-stand maneuver that activated dynamic cerebral autoregulation. METHODS Active male retired contact sport athletes with a history of 3+ concussions (mTBI; n = 55), and active retired athletes with no concussion history (CTRL; n = 29) were recruited. Participants completed a 5-min squat-stand maneuve (10-s squat, 10-s stand, 0.05 Hz; 15 times). Oxygenated (O2Hb), deoxygenated (HHb), total (tHb) hemoglobin, and hemoglobin difference (HbDiff) were analyzed through the change in maximal and minimal values during the test (∆MAX), Z-scores, and standard deviations. RESULTS mTBI group showed left prefrontal cortex O2Hb ∆MAX (p = 0.046) and HbDiff ∆MAX (p = 0.018) were significantly higher. Within-group analyses showed significantly higher left HHb ∆MAX (p = 0.003) and lower left HbDiff Z-scores (p = 0.010) only in the mTBI group. The CTRL group demonstrated significantly lower left HbDiff SD (p = 0.039), tHb Z-scores (p = 0.030), and HbDiff ∆MAX (p = 0.037) compared to right prefrontal cortex response. CONCLUSION These preliminary results suggest changes in prefrontal cortex oxygenation potentially affecting the brain's ability to adapt to changing cerebral perfusion pressure after multiple previous concussions.
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Affiliation(s)
- Luke W Sirant
- Faculty of Kinesiology and Health Studies, University of Regina, Regina, SK, Canada
| | - Jyotpal Singh
- Faculty of Kinesiology and Health Studies, University of Regina, Regina, SK, Canada
| | - Steve Martin
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Catherine A Gaul
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Lynneth Stuart-Hill
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Darren G Candow
- Faculty of Kinesiology and Health Studies, University of Regina, Regina, SK, Canada
| | - Cameron Mang
- Faculty of Kinesiology and Health Studies, University of Regina, Regina, SK, Canada
| | - J Patrick Neary
- Faculty of Kinesiology and Health Studies, University of Regina, Regina, SK, Canada
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Bourguignon NJ, Bue SL, Guerrero-Mosquera C, Borragán G. Bimodal EEG-fNIRS in Neuroergonomics. Current Evidence and Prospects for Future Research. FRONTIERS IN NEUROERGONOMICS 2022; 3:934234. [PMID: 38235461 PMCID: PMC10790898 DOI: 10.3389/fnrgo.2022.934234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 06/20/2022] [Indexed: 01/19/2024]
Abstract
Neuroergonomics focuses on the brain signatures and associated mental states underlying behavior to design human-machine interfaces enhancing performance in the cognitive and physical domains. Brain imaging techniques such as functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) have been considered key methods for achieving this goal. Recent research stresses the value of combining EEG and fNIRS in improving these interface systems' mental state decoding abilities, but little is known about whether these improvements generalize over different paradigms and methodologies, nor about the potentialities for using these systems in the real world. We review 33 studies comparing mental state decoding accuracy between bimodal EEG-fNIRS and unimodal EEG and fNIRS in several subdomains of neuroergonomics. In light of these studies, we also consider the challenges of exploiting wearable versions of these systems in real-world contexts. Overall the studies reviewed suggest that bimodal EEG-fNIRS outperforms unimodal EEG or fNIRS despite major differences in their conceptual and methodological aspects. Much work however remains to be done to reach practical applications of bimodal EEG-fNIRS in naturalistic conditions. We consider these points to identify aspects of bimodal EEG-fNIRS research in which progress is expected or desired.
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Affiliation(s)
| | - Salvatore Lo Bue
- Department of Life Sciences, Royal Military Academy of Belgium, Brussels, Belgium
| | | | - Guillermo Borragán
- Center for Research in Cognition and Neuroscience, Université Libre de Bruxelles, Brussels, Belgium
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da Silva Soares R, Ambriola Oku AY, Barreto CSF, Ricardo Sato J. Applying functional near-infrared spectroscopy and eye-tracking in a naturalistic educational environment to investigate physiological aspects that underlie the cognitive effort of children during mental rotation tests. Front Hum Neurosci 2022; 16:889806. [PMID: 36072886 PMCID: PMC9442578 DOI: 10.3389/fnhum.2022.889806] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 06/27/2022] [Indexed: 11/24/2022] Open
Abstract
Spatial cognition is related to academic achievement in science, technology, engineering, and mathematics (STEM) domains. Neuroimaging studies suggest that brain regions' activation might be related to the general cognitive effort while solving mental rotation tasks (MRT). In this study, we evaluate the mental effort of children performing MRT tasks by measuring brain activation and pupil dilation. We use functional near-infrared spectroscopy (fNIRS) concurrently to collect brain hemodynamic responses from children's prefrontal cortex (PFC) and an Eye-tracking system to measure pupil dilation during MRT. Thirty-two healthy students aged 9-11 participated in this experiment. Behavioral measurements such as task performance on geometry problem-solving tests and MRT scores were also collected. The results were significant positive correlations between the children's MRT and geometry problem-solving test scores. There are also significant positive correlations between dorsolateral PFC (dlPFC) hemodynamic signals and visuospatial task performances (MRT and geometry problem-solving scores). Moreover, we found significant activation in the amplitude of deoxy-Hb variation on the dlPFC and that pupil diameter increased during the MRT, suggesting that both physiological responses are related to mental effort processes during the visuospatial task. Our findings indicate that children with more mental effort under the task performed better. The multimodal approach to monitoring students' mental effort can be of great interest in providing objective feedback on cognitive resource conditions and advancing our comprehension of the neural mechanisms that underlie cognitive effort. Hence, the ability to detect two distinct mental states of rest or activation of children during the MRT could eventually lead to an application for investigating the visuospatial skills of young students using naturalistic educational paradigms.
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Affiliation(s)
- Raimundo da Silva Soares
- Center for Mathematics, Computation and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil
- Graduate Program in Neuroscience and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil
| | - Amanda Yumi Ambriola Oku
- Center for Mathematics, Computation and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil
| | - Cândida S. F. Barreto
- South African National Research Foundation Research Chair, Faculty of Education, University of Johannesburg, Johannesburg, South Africa
| | - João Ricardo Sato
- Center for Mathematics, Computation and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil
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Li C, Wong Y, Langhammer B, Huang F, Du X, Wang Y, Zhang H, Zhang T. A study of dynamic hand orthosis combined with unilateral task-oriented training in subacute stroke: A functional near-infrared spectroscopy case series. Front Neurol 2022; 13:907186. [PMID: 36034313 PMCID: PMC9410701 DOI: 10.3389/fneur.2022.907186] [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: 03/29/2022] [Accepted: 06/14/2022] [Indexed: 12/03/2022] Open
Abstract
Background Motor dysfunction in the upper extremities after stroke prohibits people with stroke from being independent in daily living. The application of fNIRS to explore brain activity under rehabilitation intervention is a research focus on neurorehabilitation. Objective The purpose of this study was to explore, using a grip-release ring motor task, the activated changes of regions of interest and changes in motor function utilizing fNIRS technology and test scales on persons with stroke who received unilateral task-oriented therapy with a hand orthosis in the early subacute stroke period before and after intervention. The study aimed to find a sensitive motor task and region of interest first, then to evaluate the feasibility and mechanism of this rehabilitation method by utilizing fNIRS technology in the next randomized controlled trial. Methods In this case series, eight right-handed, right hemiplegia subacute stroke persons (6 males,2 females from age 47 to 72) were enrolled. They received 30 min of unilateral task-oriented therapy without orthosis and 30 min of unilateral task-oriented therapy with orthosis (5 days/week) for 4 weeks. Activated channel numbers and beta values based on oxygenated hemoglobin concentration change using a grip-release ring motor task were estimated with fNIRS. Clinical outcome measures, including grip strength evaluation, action research arm test, and Fugl-Meyer assessment of the arm, were evaluated at the same time. Results Individual activation analysis showed that, after intervention, Subjects 1, 2, 6, 7, and 8 had the maximum mean beta value located in the left premotor cortex, while Subjects 4 and 5 had the maximum mean beta value located in the left sensorimotor cortex. The activation analysis of Subject 3 showed the maximum mean beta value located in the right premotor cortex. Deactivations of left sensorimotor cortex, left premotor cortex, and bilateral prefrontal cortex were observed after intervention which were different from other cases. Group activation analysis showed that bilateral cerebral hemispheres were activated in all eight participants, with right hemisphere and right supplementary motor cortex activated dominantly. After the intervention, the activation of bilateral hemispheres decreased but in different brain regions; there was a trend that the activation intensity of left sensorimotor cortex, right premotor cortex, and right prefrontal cortex decreased while activation intensity of left premotor cortex and left prefrontal cortex increased. Each participant demonstrated improvements in all the clinical test scales after intervention. Conclusions Left premotor cortex, left sensorimotor cortex, and right supplementary motor cortex may be the primary regions of interest. Grasp-release ring task was not appropriate to achieve our fNIRS research objective and a more sensitive motor task or more sensitive evaluating indicator should be used in further studies.
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Affiliation(s)
- ChaoJinZi Li
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- Department of Neurological Rehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - Yih Wong
- Department of Research, Sunnaas Rehabilitation Hospital, Bjornemyr, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Birgitta Langhammer
- Department of Research, Sunnaas Rehabilitation Hospital, Bjornemyr, Norway
- Department of Physiotherapy, Faculty of Health Science, OsloMet-Oslo Metropolitan University, Oslo, Norway
| | - FuBiao Huang
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- Department of Occupational Therapy, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - XiaoXia Du
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- Department of Neurological Rehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - YunLei Wang
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- Department of Neurological Rehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - HaoJie Zhang
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
| | - Tong Zhang
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China
- Department of Neurological Rehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
- *Correspondence: Tong Zhang
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Marillier M, Borowik A, Chacaroun S, Baillieul S, Doutreleau S, Guinot M, Wuyam B, Tamisier R, Pépin JL, Estève F, Vergès S, Tessier D, Flore P. High-intensity interval training to promote cerebral oxygenation and affective valence during exercise in individuals with obesity. J Sports Sci 2022; 40:1500-1511. [PMID: 35942923 DOI: 10.1080/02640414.2022.2086658] [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: 10/15/2022]
Abstract
Left/right prefrontal cortex (PFC) activation is linked to positive/negative affects, respectively. Besides, larger left PFC oxygenation during exercise relates to higher cardiorespiratory fitness (CRF). High-intensity interval training (HIIT) is superior to moderate-intensity continuous training (MICT) in improving CRF. The influence of training on PFC oxygenation and affects during exercise in individuals with obesity is, however, currently unknown. Twenty participants with obesity (14 males, 48 ± 8 years, body-mass index = 35 ± 6 kg·m-2) were randomised to MICT [50% peak work rate (WRpeak)] or HIIT (1-min bouts 100% WRpeak; 3 sessions/week, 8 weeks). Before/after training, participants completed an incremental ergocycle test. Near-infrared spectroscopy and the Feeling Scale assessed PFC oxygenation and affects during exercise, respectively. Improvements in CRF (e.g., WRpeak: 32 ± 14 vs 20 ± 13 W) were greater after HIIT vs MICT (p < 0.05). Only HIIT induced larger left PFC oxygenation (haemoglobin difference from 7 ± 6 to 10 ± 7 μmol) and enhanced affective valence (from 0.7 ± 2.9 to 2.2 ± 2.0; p < 0.05) at intensities ≥ second ventilatory threshold. Exercise-training induced changes in left PFC oxygenation correlated with changes in CRF [e.g., WRpeak (% predicted), r = 0.46] and post-training affective valence (r = 0.45; p < 0.05). HIIT specifically improved left PFC oxygenation and affects during exercise in individuals with obesity. Implementing HIIT in exercise programmes may therefore have relevant implications for the management of obesity, since greater affective response to exercise is thought to be associated with future commitment to physical activity.
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Affiliation(s)
| | - Anna Borowik
- Inserm, CHU Grenoble Alpes, Univ. Grenoble Alpes, Grenoble, France
| | | | | | | | - Michel Guinot
- Inserm, CHU Grenoble Alpes, Univ. Grenoble Alpes, Grenoble, France
| | - Bernard Wuyam
- Inserm, CHU Grenoble Alpes, Univ. Grenoble Alpes, Grenoble, France
| | - Renaud Tamisier
- Inserm, CHU Grenoble Alpes, Univ. Grenoble Alpes, Grenoble, France
| | - Jean-Louis Pépin
- Inserm, CHU Grenoble Alpes, Univ. Grenoble Alpes, Grenoble, France
| | - François Estève
- CHU Grenoble Alpes, CLUNI, SCRIMM-Sud, Inserm - UA07 - Rayonnement Synchrotron pour la Recherche Biomédicale (STROBE) ID17 Installation Européenne du Rayonnement Synchrotron (ESRF), Grenoble, France
| | - Samuel Vergès
- Inserm, CHU Grenoble Alpes, Univ. Grenoble Alpes, Grenoble, France
| | - Damien Tessier
- Laboratoire SENS, Univ. Grenoble Alpes, Grenoble, France
| | - Patrice Flore
- Inserm, CHU Grenoble Alpes, Univ. Grenoble Alpes, Grenoble, France
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216
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Li R, Yang D, Fang F, Hong KS, Reiss AL, Zhang Y. Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review. SENSORS (BASEL, SWITZERLAND) 2022; 22:s22155865. [PMID: 35957421 PMCID: PMC9371171 DOI: 10.3390/s22155865] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 07/27/2022] [Accepted: 07/30/2022] [Indexed: 05/29/2023]
Abstract
Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis, EEG has poor spatial resolution while presenting high temporal resolution. In contrast, fNIRS offers better spatial resolution, though it is constrained by its poor temporal resolution. One important merit shared by the EEG and fNIRS is that both modalities have favorable portability and could be integrated into a compatible experimental setup, providing a compelling ground for the development of a multimodal fNIRS-EEG integration analysis approach. Despite a growing number of studies using concurrent fNIRS-EEG designs reported in recent years, the methodological reference of past studies remains unclear. To fill this knowledge gap, this review critically summarizes the status of analysis methods currently used in concurrent fNIRS-EEG studies, providing an up-to-date overview and guideline for future projects to conduct concurrent fNIRS-EEG studies. A literature search was conducted using PubMed and Web of Science through 31 August 2021. After screening and qualification assessment, 92 studies involving concurrent fNIRS-EEG data recordings and analyses were included in the final methodological review. Specifically, three methodological categories of concurrent fNIRS-EEG data analyses, including EEG-informed fNIRS analyses, fNIRS-informed EEG analyses, and parallel fNIRS-EEG analyses, were identified and explained with detailed description. Finally, we highlighted current challenges and potential directions in concurrent fNIRS-EEG data analyses in future research.
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Affiliation(s)
- Rihui Li
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Biomedical Engineering, University of Houston, Houston, TX 77004, USA
| | - Dalin Yang
- School of Mechanical Engineering, Pusan National University, Pusan 43241, Korea
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, 4515 McKinley Avenue, St. Louis, MO 63110, USA
| | - Feng Fang
- Department of Biomedical Engineering, University of Houston, Houston, TX 77004, USA
| | - Keum-Shik Hong
- School of Mechanical Engineering, Pusan National University, Pusan 43241, Korea
| | - Allan L. Reiss
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Yingchun Zhang
- Department of Biomedical Engineering, University of Houston, Houston, TX 77004, USA
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217
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Shimizu K, Xian S, Guo J. Reconstructing a Deblurred 3D Structure in a Turbid Medium from a Single Blurred 2D Image—For Near-Infrared Transillumination Imaging of a Human Body. SENSORS 2022; 22:s22155747. [PMID: 35957303 PMCID: PMC9370914 DOI: 10.3390/s22155747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 07/07/2022] [Accepted: 07/19/2022] [Indexed: 11/16/2022]
Abstract
To provide another modality for three-dimensional (3D) medical imaging, new techniques were developed to reconstruct a 3D structure in a turbid medium from a single blurred 2D image obtained using near-infrared transillumination imaging. One technique uses 1D information of a curvilinear absorber, or the intensity profile across the absorber image. Profiles in different conditions are calculated by convolution with the depth-dependent point spread function (PSF) of the transillumination image. In databanks, profiles are stored as lookup tables to connect the contrast and spread of the profile to the absorber depth. One-to-one correspondence from the contrast and spread to the absorber depth and thickness were newly found. Another technique uses 2D information of the transillumination image of a volumetric absorber. A blurred 2D image is deconvolved with the depth-dependent PSF, thereby producing many images with points of focus on different parts. The depth of the image part can be estimated by searching the deconvolved images for the image part in the best focus. To suppress difficulties of high-spatial-frequency noise, we applied a noise-robust focus stacking method. Experimentation verified the feasibility of the proposed techniques, and suggested their applicability to curvilinear and volumetric absorbers such as blood vessel networks and cancerous lesions in tissues.
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Affiliation(s)
- Koichi Shimizu
- Graduate School of Information, Production and Systems, Waseda University, Kitakyushu 808-0135, Japan
- School of Optoelectronic Engineering, Xidian University, Xi’an 710071, China
- Correspondence:
| | - Sihan Xian
- Graduate School of Information, Production and Systems, Waseda University, Kitakyushu 808-0135, Japan
| | - Jiekai Guo
- Graduate School of Information, Production and Systems, Waseda University, Kitakyushu 808-0135, Japan
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218
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Functional ultrasound localization microscopy reveals brain-wide neurovascular activity on a microscopic scale. Nat Methods 2022; 19:1004-1012. [PMID: 35927475 PMCID: PMC9352591 DOI: 10.1038/s41592-022-01549-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 06/14/2022] [Indexed: 12/02/2022]
Abstract
The advent of neuroimaging has increased our understanding of brain function. While most brain-wide functional imaging modalities exploit neurovascular coupling to map brain activity at millimeter resolutions, the recording of functional responses at microscopic scale in mammals remains the privilege of invasive electrophysiological or optical approaches, but is mostly restricted to either the cortical surface or the vicinity of implanted sensors. Ultrasound localization microscopy (ULM) has achieved transcranial imaging of cerebrovascular flow, up to micrometre scales, by localizing intravenously injected microbubbles; however, the long acquisition time required to detect microbubbles within microscopic vessels has so far restricted ULM application mainly to microvasculature structural imaging. Here we show how ULM can be modified to quantify functional hyperemia dynamically during brain activation reaching a 6.5-µm spatial and 1-s temporal resolution in deep regions of the rat brain. Functional ultrasound localization microscopy monitors cerebrovascular blood flow by detecting the flow of injected microbubbles, providing access to brain activity at high spatiotemporal resolution.
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219
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Pellegrini-Laplagne M, Dupuy O, Sosner P, Bosquet L. Effect of simultaneous exercise and cognitive training on executive functions, baroreflex sensitivity, and pre-frontal cortex oxygenation in healthy older adults: a pilot study. GeroScience 2022; 45:119-140. [PMID: 35881301 PMCID: PMC9315336 DOI: 10.1007/s11357-022-00595-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 05/20/2022] [Indexed: 02/02/2023] Open
Abstract
Aging is characterized by cognitive decline affecting daily functioning. To manage this socio-economic challenge, several non-pharmacological methods such as physical, cognitive, and combined training are proposed. Although there is an important interest in this subject, the literature is still heterogeneous. The superiority of simultaneous training compared to passive control and physical training alone seems clear but very few studies compared simultaneous training to cognitive training alone. The aim of this pilot study was to investigate the effect of simultaneous exercise and cognitive training on several cognitive domains in healthy older adults, in comparison with either training alone. Thirty-five healthy older adults were randomized into one of three experimental groups: exercise training, cognitive training, and simultaneous exercise and cognitive training. The protocol involved two 30-min sessions per week for 24 weeks. Cognitive performance in several domains, pre-frontal cortex oxygenation, and baroreflex sensitivity were assessed before and after the intervention. All groups improved executive performance, including flexibility or working memory. We found a group by time interaction for inhibition cost (F(2,28) = 6.44; p < 0.01) and baroreflex sensitivity during controlled breathing (F(2,25) = 4.22; p = 0.01), the magnitude of improvement of each variable being associated (r = -0.39; p = 0.03). We also found a decrease in left and right pre-frontal cortex oxygenation in all groups during the trail making test B. A simultaneous exercise and cognitive training are more efficient than either training alone to improve executive function and baroreflex sensitivity. The results of this study may have important clinical repercussions by allowing to optimize the interventions designed to maintain the physical and cognitive health of older adults.
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Affiliation(s)
- Manon Pellegrini-Laplagne
- grid.11166.310000 0001 2160 6368Laboratoire MOVE (EA6314), Faculté des sciences du sport, Université de Poitiers, 8 allée Jean Monnet – TSA 31113 – 96073 Poitiers cedex 9, Poitiers, France
| | - Olivier Dupuy
- Laboratoire MOVE (EA6314), Faculté des sciences du sport, Université de Poitiers, 8 allée Jean Monnet - TSA 31113 - 96073 Poitiers cedex 9, Poitiers, France. .,School of Kinesiology and Physical Activity Sciences (EKSAP), Faculty of Medicine, University of Montreal, Montreal, Canada.
| | - Phillipe Sosner
- grid.11166.310000 0001 2160 6368Laboratoire MOVE (EA6314), Faculté des sciences du sport, Université de Poitiers, 8 allée Jean Monnet – TSA 31113 – 96073 Poitiers cedex 9, Poitiers, France ,Mon Stade, Paris, France
| | - Laurent Bosquet
- grid.11166.310000 0001 2160 6368Laboratoire MOVE (EA6314), Faculté des sciences du sport, Université de Poitiers, 8 allée Jean Monnet – TSA 31113 – 96073 Poitiers cedex 9, Poitiers, France ,grid.14848.310000 0001 2292 3357School of Kinesiology and Physical Activity Sciences (EKSAP), Faculty of Medicine, University of Montreal, Montreal, Canada
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220
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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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221
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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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Tuesta M, Yáñez-Sepúlveda R, Verdugo-Marchese H, Mateluna C, Alvear-Ordenes I. Near-Infrared Spectroscopy Used to Assess Physiological Muscle Adaptations in Exercise Clinical Trials: A Systematic Review. BIOLOGY 2022; 11:biology11071073. [PMID: 36101451 PMCID: PMC9312707 DOI: 10.3390/biology11071073] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 07/14/2022] [Accepted: 07/15/2022] [Indexed: 11/18/2022]
Abstract
Simple Summary In recent years, physical exercise has been used as a therapeutic strategy in various clinical conditions, with pleiotropic benefits. Near-infrared spectroscopy (NIRS) has been positioned as a tool to analyze effects on muscle oxygenation, also allowing knowledge of adaptations on microvascular levels and muscle metabolism in subjects with central and peripheral vascular alterations, as well as cardiovascular, metabolic, and/or musculoskeletal diseases. This knowledge can help to guide therapeutic exercise specialists in decision making regarding the prescription and follow up of physical exercise as a therapeutic tool in the observation of acute or chronic adaptations to improve efficiency in the treatment and recovery of these patients. This review presents an overview of the effects of exercise clinical trials on muscle oxygenation in different pathologies and the technical characteristics related to the equipment used. Abstract Using muscle oxygenation to evaluate the therapeutic effects of physical exercise in pathologies through near-infrared spectroscopy (NIRS) is of great interest. The aim of this review was to highlight the use of muscle oxygenation in exercise interventions in clinical trials and to present the technological characteristics related to the equipment used in these studies. PubMed, WOS, and Scopus databases were reviewed up to December 2021. Scientific articles that evaluated muscle oxygenation after exercise interventions in the sick adult population were selected. The PEDro scale was used to analyze the risk of bias (internal validity). The results were presented grouped in tables considering the risk of bias scores, characteristics of the devices, and the effects of exercise on muscle oxygenation. All the stages were carried out using preferred reporting items for systematic reviews and meta-analyses (PRISMA). The search strategy yielded 820 clinical studies, of which 18 met the eligibility criteria. This review detailed the characteristics of 11 NIRS devices used in clinical trials that used physical exercise as an intervention. The use of this technology made it possible to observe changes in muscle oxygenation/deoxygenation parameters such as tissue saturation, oxyhemoglobin, total hemoglobin, and deoxyhemoglobin in clinical trials of patients with chronic disease. It was concluded that NIRS is a non-invasive method that can be used in clinical studies to detect the effects of physical exercise training on muscle oxygenation, hemodynamics, and metabolism. It will be necessary to unify criteria such as the measurement site, frequency, wavelength, and variables for analysis. This will make it possible to compare different models of exercise/training in terms of time, intensity, frequency, and type to obtain more precise conclusions about their benefits for patients.
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Affiliation(s)
- Marcelo Tuesta
- Exercise and Rehabilitation Sciences Laboratory, School of Physical Therapy, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago 7591538, Chile;
- Laboratory of Sport Sciences, Centro de Medicina Deportiva Sports MD, Viña del Mar 2521156, Chile;
| | - Rodrigo Yáñez-Sepúlveda
- Applied Physiology Laboratory (FISAP), Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain;
- School of Education, Pedagogy in Physical Education, Universidad Viña del Mar, Viña del Mar 2572007, Chile
| | | | - Cristián Mateluna
- Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso 2530388, Chile;
| | - Ildefonso Alvear-Ordenes
- Applied Physiology Laboratory (FISAP), Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain;
- Correspondence:
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223
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ERDOĞAN SB. Temel Duygusal Durumların Hemodinamik Karşılıklarının Taşınabilir bir İşlevsel Yakın Kızılaltı Spektroskopi Sistemi ile Tanımlanması. ACTA MEDICA ALANYA 2022. [DOI: 10.30565/medalanya.1120497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Objective: The aim of this study was to test the feasibility of a functional near infrared spectroscopy (fNIRS) system for quantification of the similarities and differences in the spatial localization of cerebral hemodynamic activation induced by visual presentation of neutral, negative and positive valence emotional stimuli. Method: 13 healthy subjects viewed neutral, pleasant and unpleasant pictures from the International Affective Picture System (IAPS) database in a block design experiment while the prefrontal cortical hemodynamic changes induced by emotional stimuli were continuously recorded with a 20 channel fNIRS system that covered the forehead region. Results: Negative valence pictures induced higher hemodynamic activity in right lateralized regions involving dorsolateral and oribtofrontal cortex when compared to neutral and positive valence stimuli (pFDR
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224
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He S, Li P, Ren Y, Wei G, Wang Y, Yang Y, Li R, Li J, Shi Y, Shi X, Wang Z. Near-Infrared Broadband ZnTa 2O 6:Cr 3+ Phosphor for pc-LEDs and Its Application to Nondestructive Testing. Inorg Chem 2022; 61:11284-11292. [PMID: 35834349 DOI: 10.1021/acs.inorgchem.2c01403] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Broadband near-infrared (NIR) phosphors are necessary materials for developing portable NIR light sources. Moreover, exploiting an NIR phosphor with a main peak located beyond a wavelength of 900 nm remains a challenge because this spectral range has great potential in biological nondestructive testing and solution testing. In this study, a range of Cr3+-doped ZnTa2O6 (ZTO) phosphors were completely synthesized by a solid-state method, which show broadband Cr3+ emission centered at 935 nm with a large full width at half maximum (FWHM) of 185 nm due to two distorted octahedral sites. A packaged phosphor-converted light-emitting diode (pc-LED) device is used to penetrate a 5-cm-thick chicken breast and identify diverse solutions based on differences in the measured transmission spectra. The results indicate broad application prospects in the field of biological tissue penetration and solution analysis.
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Affiliation(s)
- Shaoxuan He
- Hebei Key Laboratory of Optic-Electronic Information and Materials, College of Physics Science and Technology, Hebei University, Baoding 071002, China
| | - Panlai Li
- Hebei Key Laboratory of Optic-Electronic Information and Materials, College of Physics Science and Technology, Hebei University, Baoding 071002, China
| | - Yinti Ren
- Hebei Key Laboratory of Optic-Electronic Information and Materials, College of Physics Science and Technology, Hebei University, Baoding 071002, China
| | - Guohui Wei
- Hebei Key Laboratory of Optic-Electronic Information and Materials, College of Physics Science and Technology, Hebei University, Baoding 071002, China
| | - Ye Wang
- Hebei Key Laboratory of Optic-Electronic Information and Materials, College of Physics Science and Technology, Hebei University, Baoding 071002, China
| | - Yuanbo Yang
- Hebei Key Laboratory of Optic-Electronic Information and Materials, College of Physics Science and Technology, Hebei University, Baoding 071002, China
| | - Rui Li
- Hebei Key Laboratory of Optic-Electronic Information and Materials, College of Physics Science and Technology, Hebei University, Baoding 071002, China
| | - Jiehong Li
- Hebei Key Laboratory of Optic-Electronic Information and Materials, College of Physics Science and Technology, Hebei University, Baoding 071002, China
| | - Yawei Shi
- Hebei Key Laboratory of Optic-Electronic Information and Materials, College of Physics Science and Technology, Hebei University, Baoding 071002, China
| | - Xingqiang Shi
- Hebei Key Laboratory of Optic-Electronic Information and Materials, College of Physics Science and Technology, Hebei University, Baoding 071002, China
| | - Zhijun Wang
- Hebei Key Laboratory of Optic-Electronic Information and Materials, College of Physics Science and Technology, Hebei University, Baoding 071002, China
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225
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Xu S, Liu W, Yang X, Jönsson J, Qian R, McKee P, Kim K, Konda PC, Zhou KC, Kreiß L, Wang H, Berrocal E, Huettel SA, Horstmeyer R. Transient Motion Classification Through Turbid Volumes via Parallelized Single-Photon Detection and Deep Contrastive Embedding. Front Neurosci 2022; 16:908770. [PMID: 35873809 PMCID: PMC9304989 DOI: 10.3389/fnins.2022.908770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 07/13/2022] [Indexed: 12/03/2022] Open
Abstract
Fast noninvasive probing of spatially varying decorrelating events, such as cerebral blood flow beneath the human skull, is an essential task in various scientific and clinical settings. One of the primary optical techniques used is diffuse correlation spectroscopy (DCS), whose classical implementation uses a single or few single-photon detectors, resulting in poor spatial localization accuracy and relatively low temporal resolution. Here, we propose a technique termed ClassifyingRapid decorrelationEvents viaParallelized single photon dEtection (CREPE), a new form of DCS that can probe and classify different decorrelating movements hidden underneath turbid volume with high sensitivity using parallelized speckle detection from a 32 × 32 pixel SPAD array. We evaluate our setup by classifying different spatiotemporal-decorrelating patterns hidden beneath a 5 mm tissue-like phantom made with rapidly decorrelating dynamic scattering media. Twelve multi-mode fibers are used to collect scattered light from different positions on the surface of the tissue phantom. To validate our setup, we generate perturbed decorrelation patterns by both a digital micromirror device (DMD) modulated at multi-kilo-hertz rates, as well as a vessel phantom containing flowing fluid. Along with a deep contrastive learning algorithm that outperforms classic unsupervised learning methods, we demonstrate our approach can accurately detect and classify different transient decorrelation events (happening in 0.1–0.4 s) underneath turbid scattering media, without any data labeling. This has the potential to be applied to non-invasively monitor deep tissue motion patterns, for example identifying normal or abnormal cerebral blood flow events, at multi-Hertz rates within a compact and static detection probe.
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Affiliation(s)
- Shiqi Xu
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
| | - Wenhui Liu
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
- Department of Automation, Tsinghua University, Beijing, China
| | - Xi Yang
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
| | - Joakim Jönsson
- Division of Combustion Physics, Department of Physics, Lund University, Lund, Sweden
| | - Ruobing Qian
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
| | - Paul McKee
- Department of Psychology and Neuroscience, Duke University, Durham, NC, United States
| | - Kanghyun Kim
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
| | - Pavan Chandra Konda
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
| | - Kevin C. Zhou
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
| | - Lucas Kreiß
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
- Institute of Medical Biotechnology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Haoqian Wang
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
| | - Edouard Berrocal
- Division of Combustion Physics, Department of Physics, Lund University, Lund, Sweden
| | - Scott A. Huettel
- Department of Psychology and Neuroscience, Duke University, Durham, NC, United States
| | - Roarke Horstmeyer
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
- Department of Electrical Engineering, Duke University, Durham, NC, United States
- *Correspondence: Roarke Horstmeyer
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226
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Muñoz V, Diaz‐Sanchez JA, Muñoz‐Caracuel M, Gómez CM. Head hemodynamics and systemic responses during auditory stimulation. Physiol Rep 2022; 10:e15372. [PMID: 35785451 PMCID: PMC9251853 DOI: 10.14814/phy2.15372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/09/2022] [Accepted: 06/14/2022] [Indexed: 06/15/2023] Open
Abstract
The present study aims to analyze the systemic response to auditory stimulation by means of hemodynamic (cephalic and peripheral) and autonomic responses in a broad range of auditory intensities (70.9, 77.9, 84.5, 89.5, 94.5 dBA). This approach could help to understand the possible influence of the autonomic nervous system on the cephalic blood flow. Twenty-five subjects were exposed to auditory stimulation while electrodermal activity (EDA), photoplethysmography (PPG), electrocardiogram, and functional near-infrared spectroscopy signals were recorded. Seven trials with 20 individual tones, each for the five intensities, were presented. The results showed a differentiated response to the higher intensity (94.5 dBA) with a decrease in some peripheral signals such as the heart rate (HR), the pulse signal, the pulse transit time (PTT), an increase of the LFnu power in PPG, and at the head level a decrease in oxygenated and total hemoglobin concentration. After the regression of the visual channel activity from the auditory channels, a decrease in deoxyhemoglobin in the auditory cortex was obtained, indicating a likely active response at the highest intensity. Nevertheless, other measures, such as EDA (Phasic and Tonic), and heart rate variability (Frequency and time domain) showed no significant differences between intensities. Altogether, these results suggest a systemic and complex response to high-intensity auditory stimuli. The results obtained in the decrease of the PTT and the increase in LFnu power of PPG suggest a possible vasoconstriction reflex by a sympathetic control of vascular tone, which could be related to the decrease in blood oxygenation at the head level.
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Affiliation(s)
- Vanesa Muñoz
- Human Psychobiology Laboratory, Experimental Psychology DepartmentUniversity of SevillaSevillaSpain
| | - José A. Diaz‐Sanchez
- Human Psychobiology Laboratory, Experimental Psychology DepartmentUniversity of SevillaSevillaSpain
| | - Manuel Muñoz‐Caracuel
- Human Psychobiology Laboratory, Experimental Psychology DepartmentUniversity of SevillaSevillaSpain
| | - Carlos M. Gómez
- Human Psychobiology Laboratory, Experimental Psychology DepartmentUniversity of SevillaSevillaSpain
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227
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Hall PA, Fong GT, Hitchman SC, Quah AC, Agar T, Meng G, Ayaz H, Dore BP, Sakib MN, Hudson A, Boudreau C. Brain and behavior in health communication: The Canadian COVID-19 Experiences Project. Brain Behav Immun Health 2022; 22:100467. [PMID: 35527791 PMCID: PMC9060711 DOI: 10.1016/j.bbih.2022.100467] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 04/28/2022] [Indexed: 12/11/2022] Open
Abstract
Background Methods Discussion
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Affiliation(s)
- Peter A. Hall
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
- Department of Psychology, University of Waterloo, Waterloo, Canada
- Centre for Bioengineering and Biotechnology, University of Waterloo, Waterloo, Canada
- Corresponding author. School of Public Health Sciences, University of Waterloo, 200 University Avenue West, Waterloo, ON, Canada.
| | - Geoffrey T. Fong
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
- Department of Psychology, University of Waterloo, Waterloo, Canada
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Corresponding author. Department of Psychology, University of Waterloo, 200 University Avenue West, Waterloo, ON, Canada.
| | - Sara C. Hitchman
- Department of Communication and Media Research, University of Zurich, Zurich, Switzerland
| | - Anne C.K. Quah
- Department of Psychology, University of Waterloo, Waterloo, Canada
| | - Thomas Agar
- Department of Psychology, University of Waterloo, Waterloo, Canada
| | - Gang Meng
- Department of Psychology, University of Waterloo, Waterloo, Canada
| | - Hasan Ayaz
- School of Biomedical Engineering, Science and Health Systems, Drexel University, USA
- Department of Psychological and Brain Sciences, College of Arts and Sciences, Drexel University, Philadelphia, PA, USA
- Drexel Solutions Institute, Drexel University, Philadelphia, PA, USA
| | - Bruce P. Dore
- Desautels Faculty of Management, McGill University, Montreal, Canada
| | - Mohammad N. Sakib
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
| | - Anna Hudson
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
| | - Christian Boudreau
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada
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228
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Adaptation of stimulation duration to enhance auditory response in fNIRS block design. Hear Res 2022; 424:108593. [DOI: 10.1016/j.heares.2022.108593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 07/19/2022] [Accepted: 07/26/2022] [Indexed: 11/04/2022]
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229
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Improving Attention through Individualized fNIRS Neurofeedback Training: A Pilot Study. Brain Sci 2022; 12:brainsci12070862. [PMID: 35884668 PMCID: PMC9312875 DOI: 10.3390/brainsci12070862] [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: 04/11/2022] [Revised: 06/12/2022] [Accepted: 06/28/2022] [Indexed: 02/04/2023] Open
Abstract
Attention is a particularly important indicator in life, as inattention can lead to many negative consequences. As a non-invasive intervention, real-time neurofeedback training can effectively enhance individuals’ attention adjustment abilities. However, previous studies have neglected to consider differences among individuals. In this study, an individualized neurofeedback training (INT) method based on functional near-infrared spectroscopy (fNIRS) was proposed for attention improvement and compared with non-individualized neurofeedback training (NINT). The neurofeedback channels and thresholds were determined individually for each subject. Then, participants conducted four runs of neurofeedback training. Two attention tests (i.e., AX version of continuous performance task (AX-CPT) and attention network test (ANT)) were used to assess the performance of the neurofeedback training. The length of time that the two groups of participants continuously kept their oxygenated hemoglobin concentration above a threshold showed an increasing trend, and the improvement rate of the INT group was higher than that of the NINT group. The reaction times for both groups showed a downward trend, but the INT group declined more significantly. In the fNIRS data, it was observed that the activation degree of the INT group in the middle and dorsolateral prefrontal areas was higher than that of the NINT group. It is preliminarily proved that the proposed INT method can effectively improve the attention level, and its overall performance is better than that of the NINT method.
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230
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Qu J, Cui L, Guo W, Ren X, Bu L. The Effects of a Virtual Reality Rehabilitation Task on Elderly Subjects: An Experimental Study Using Multimodal Data. IEEE Trans Neural Syst Rehabil Eng 2022; 30:1684-1692. [PMID: 35709115 DOI: 10.1109/tnsre.2022.3183686] [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: 11/07/2022]
Abstract
Ageing populations are becoming a global issue. Against this background, the assessment and treatment of geriatric conditions have become increasingly important. This study draws on the multisensory integration of virtual reality (VR) devices in the field of rehabilitation to assess brain function in young and old people. The study is based on multimodal data generated by combining high temporal resolution electroencephalogram (EEG) and subjective scales and behavioural indicators reflecting motor abilities. The phase locking value (PLV) was chosen as an indicator of functional connectivity (FC), and six brain regions, namely LPFC, RPFC, LOL, ROL, LMC and RMC, were analysed. The results showed a significant difference in the alpha band on comparing the resting and task states in the younger group. A significant difference between the two states in the alpha and beta bands was observed when comparing task states in the younger and older groups. Meanwhile, this study affirms that advancing age significantly affects human locomotor performance and also has a correlation with cognitive level. The study proposes a novel accurate and valid assessment method that offers new possibilities for assessing and rehabilitating geriatric diseases. Thus, this method has the potential to contribute to the field of rehabilitation medicine.
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231
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Li X, Fang F, Li R, Zhang Y. Functional Brain Controllability Alterations in Stroke. Front Bioeng Biotechnol 2022; 10:925970. [PMID: 35832411 PMCID: PMC9271898 DOI: 10.3389/fbioe.2022.925970] [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: 04/22/2022] [Accepted: 06/01/2022] [Indexed: 11/17/2022] Open
Abstract
Motor control deficits are very common in stroke survivors and often lead to disability. Current clinical measures for profiling motor control impairments are largely subjective and lack precise interpretation in a “control” perspective. This study aims to provide an accurate interpretation and assessment of the underlying “motor control” deficits caused by stroke, using a recently developed novel technique, i.e., the functional brain controllability analysis. The electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) were simultaneously recorded from 16 stroke patients and 11 healthy subjects during a hand-clenching task. A high spatiotemporal resolution fNIRS-informed EEG source imaging approach was then employed to estimate the cortical activity and construct the functional brain network. Subsequently, network control theory was applied to evaluate the modal controllability of some key motor regions, including primary motor cortex (M1), premotor cortex (PMC), and supplementary motor cortex (SMA), and also the executive control network (ECN). Results indicated that the modal controllability of ECN in stroke patients was significantly lower than healthy subjects (p = 0.03). Besides, the modal controllability of SMA in stroke patients was also significant smaller than healthy subjects (p = 0.02). Finally, the baseline modal controllability of M1 was found to be significantly correlated with the baseline FM-UL clinical scores (r = 0.58, p = 0.01). In conclusion, our results provide a new perspective to better understand the motor control deficits caused by stroke. We expect such an analytical methodology can be extended to investigate the other neurological or psychiatric diseases caused by cognitive control or motor control impairment.
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Affiliation(s)
- Xuhong Li
- Department of Rehabilitation Medicine, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Feng Fang
- Department of Biomedical Engineering, University of Houston, Houston, TX, United States
- *Correspondence: Feng Fang, , Yingchun Zhang,
| | - Rihui Li
- Department of Biomedical Engineering, University of Houston, Houston, TX, United States
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Yingchun Zhang
- Department of Biomedical Engineering, University of Houston, Houston, TX, United States
- *Correspondence: Feng Fang, , Yingchun Zhang,
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232
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Joshi S, Weedon BD, Esser P, Liu YC, Springett DN, Meaney A, Inacio M, Delextrat A, Kemp S, Ward T, Izadi H, Dawes H, Ayaz H. Neuroergonomic assessment of developmental coordination disorder. Sci Rep 2022; 12:10239. [PMID: 35715433 PMCID: PMC9206023 DOI: 10.1038/s41598-022-13966-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 05/31/2022] [Indexed: 12/29/2022] Open
Abstract
Until recently, neural assessments of gross motor coordination could not reliably handle active tasks, particularly in realistic environments, and offered a narrow understanding of motor-cognition. By applying a comprehensive neuroergonomic approach using optical mobile neuroimaging, we probed the neural correlates of motor functioning in young people with Developmental Coordination Disorder (DCD), a motor-learning deficit affecting 5-6% of children with lifelong complications. Neural recordings using fNIRS were collected during active ambulatory behavioral task execution from 37 Typically Developed and 48 DCD Children who performed cognitive and physical tasks in both single and dual conditions. This is the first of its kind study targeting regions of prefrontal cortical dysfunction for identification of neuropathophysiology for DCD during realistic motor tasks and is one of the largest neuroimaging study (across all modalities) involving DCD. We demonstrated that DCD is a motor-cognitive disability, as gross motor /complex tasks revealed neuro-hemodynamic deficits and dysfunction within the right middle and superior frontal gyri of the prefrontal cortex through functional near infrared spectroscopy. Furthermore, by incorporating behavioral performance, decreased neural efficiency in these regions were revealed in children with DCD, specifically during motor tasks. Lastly, we provide a framework, evaluating disorder impact in ecologically valid contexts to identify when and for whom interventional approaches are most needed and open the door for precision therapies.
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Affiliation(s)
- Shawn Joshi
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA. .,College of Medicine, Drexel University, Philadelphia, PA, USA. .,Centre for Movement, Occupation and Rehabilitation Services, Oxford Brookes University, Oxford, UK. .,Nuffield Department of Clinical Neurology, University of Oxford, Oxford, UK.
| | - Benjamin D Weedon
- Centre for Movement, Occupation and Rehabilitation Services, Oxford Brookes University, Oxford, UK.,Nuffield Department of Clinical Neurology, University of Oxford, Oxford, UK
| | - Patrick Esser
- Centre for Movement, Occupation and Rehabilitation Services, Oxford Brookes University, Oxford, UK.,Nuffield Department of Clinical Neurology, University of Oxford, Oxford, UK
| | - Yan-Ci Liu
- Centre for Movement, Occupation and Rehabilitation Services, Oxford Brookes University, Oxford, UK.,Nuffield Department of Clinical Neurology, University of Oxford, Oxford, UK.,School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan.,Physical Therapy Center, National Taiwan University Hospita, Taipei, Taiwan
| | - Daniella N Springett
- Centre for Movement, Occupation and Rehabilitation Services, Oxford Brookes University, Oxford, UK.,Nuffield Department of Clinical Neurology, University of Oxford, Oxford, UK.,Department for Health, University of Bath, Bath, UK
| | - Andy Meaney
- Centre for Movement, Occupation and Rehabilitation Services, Oxford Brookes University, Oxford, UK.,NHS Foundation Trust, Oxford University Hospitals, Oxford, UK
| | - Mario Inacio
- Centre for Movement, Occupation and Rehabilitation Services, Oxford Brookes University, Oxford, UK.,Research Center in Sports Sciences, Health Sciences and Human Development, University of Maia, Porto, Portugal
| | - Anne Delextrat
- Centre for Movement, Occupation and Rehabilitation Services, Oxford Brookes University, Oxford, UK
| | - Steve Kemp
- Centre for Movement, Occupation and Rehabilitation Services, Oxford Brookes University, Oxford, UK
| | - Tomás Ward
- Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland
| | - Hooshang Izadi
- School of Engineering, Computing and Mathematics, School of Technology, Design and Environment, Oxford Brookes University, Oxford, UK
| | - Helen Dawes
- Nuffield Department of Clinical Neurology, University of Oxford, Oxford, UK.,Intersect@Exeter, College of Medicine and Health, University of Exeter, Exeter, UK.,Oxford Health BRC, University of Oxford, Oxford, UK
| | - Hasan Ayaz
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA.,Department of Psychological and Brain Sciences, College of Arts and Sciences, Drexel University, Philadelphia, PA, USA.,Drexel Solution Institute, Drexel University, Philadelphia, PA, USA.,Department of Family and Community Health, University of Pennsylvania, Philadelphia, PA, USA.,Center for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, USA
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233
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Wriessnegger SC, Unterhauser K, Bauernfeind G. Limb Preference and Skill Level Dependence During the Imagery of a Whole-Body Movement: A Functional Near Infrared Spectroscopy Study. Front Hum Neurosci 2022; 16:900834. [PMID: 35734351 PMCID: PMC9207184 DOI: 10.3389/fnhum.2022.900834] [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: 03/21/2022] [Accepted: 05/09/2022] [Indexed: 12/01/2022] Open
Abstract
In the past years motor imagery (MI) turned out to be also an innovative and effective tool for motor learning and improvement of sports performance. Whereas many studies investigating sports MI focusing on upper or lower limbs involvement, knowledge about involved neural structures during whole-body movements is still limited. In the present study we investigated brain activity of climbers during a kinesthetic motor imagery (KMI) climbing task with different difficulties by means of functional near infrared spectroscopy (fNIRS). Twenty healthy participants were split into two groups according to their climbing skill level. The aim of the current study is investigating neural correlates of a whole-body sports MI task with an additional focus on skill level dependency. Climbing experts and non-experts imagined bouldering an “easy” and “difficult” route from a first-person perspective while hemodynamic responses were recorded simultaneously. We found significant differences between the two climbing routes, easy and difficult within participants as well as between the two groups of different climbing skill levels. Overall beginners showed increased hemodynamic responses compared to experts in all defined regions of interest (ROI) supporting the claim of the neural efficiency hypothesis (NEH). Even though climbing is a complex, coordinated movement of upper and lower limbs we found a stronger activation focus of the upper limbs, especially of the dominant hand-area, while the foot area seems to be deactivated or inhibited simultaneously. Summarizing, these findings provide novel insights into brain activation during the imagery of a whole-body movement and its relation to climbing expertise.
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Affiliation(s)
- Selina C. Wriessnegger
- Institute of Neural Engineering, Graz University of Technology, Graz, Austria
- *Correspondence: Selina C. Wriessnegger,
| | - Kris Unterhauser
- Institute of Neural Engineering, Graz University of Technology, Graz, Austria
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234
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Huang X, Liang S, Li Z, Lai CYY, Choi KS. EEG-based vibrotactile evoked brain-computer interfaces system: A systematic review. PLoS One 2022; 17:e0269001. [PMID: 35657949 PMCID: PMC9165854 DOI: 10.1371/journal.pone.0269001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 05/12/2022] [Indexed: 11/18/2022] Open
Abstract
Recently, a novel electroencephalogram-based brain-computer interface (EVE-BCI) using the vibrotactile stimulus shows great potential for an alternative to other typical motor imagery and visual-based ones. (i) Objective: in this review, crucial aspects of EVE-BCI are extracted from the literature to summarize its key factors, investigate the synthetic evidence of feasibility, and generate recommendations for further studies. (ii) Method: five major databases were searched for relevant publications. Multiple key concepts of EVE-BCI, including data collection, stimulation paradigm, vibrotactile control, EEG signal processing, and reported performance, were derived from each eligible article. We then analyzed these concepts to reach our objective. (iii) Results: (a) seventy-nine studies are eligible for inclusion; (b) EEG data are mostly collected among healthy people with an embodiment of EEG cap in EVE-BCI development; (c) P300 and Steady-State Somatosensory Evoked Potential are the two most popular paradigms; (d) only locations of vibration are heavily explored by previous researchers, while other vibrating factors draw little interest. (e) temporal features of EEG signal are usually extracted and used as the input to linear predictive models for EVE-BCI setup; (f) subject-dependent and offline evaluations remain popular assessments of EVE-BCI performance; (g) accuracies of EVE-BCI are significantly higher than chance levels among different populations. (iv) Significance: we summarize trends and gaps in the current EVE-BCI by identifying influential factors. A comprehensive overview of EVE-BCI can be quickly gained by reading this review. We also provide recommendations for the EVE-BCI design and formulate a checklist for a clear presentation of the research work. They are useful references for researchers to develop a more sophisticated and practical EVE-BCI in future studies.
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Affiliation(s)
- Xiuyu Huang
- Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China
- * E-mail:
| | - Shuang Liang
- School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Zengguang Li
- School of Computer Science and Technology, Nanjing Tech University, Nanjing, China
| | - Cynthia Yuen Yi Lai
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Kup-Sze Choi
- Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China
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Lanka P, Yang L, Orive-Miguel D, Veesa JD, Tagliabue S, Sudakou A, Samaei S, Forcione M, Kovacsova Z, Behera A, Gladytz T, Grosenick D, Hervé L, Durduran T, Bejm K, Morawiec M, Kacprzak M, Sawosz P, Gerega A, Liebert A, Belli A, Tachtsidis I, Lange F, Bale G, Baratelli L, Gioux S, Alexander K, Wolf M, Sekar SKV, Zanoletti M, Pirovano I, Lacerenza M, Qiu L, Ferocino E, Maffeis G, Amendola C, Colombo L, Frabasile L, Levoni P, Buttafava M, Renna M, Di Sieno L, Re R, Farina A, Spinelli L, Dalla Mora A, Contini D, Taroni P, Tosi A, Torricelli A, Dehghani H, Wabnitz H, Pifferi A. Multi-laboratory performance assessment of diffuse optics instruments: the BitMap exercise. JOURNAL OF BIOMEDICAL OPTICS 2022; 27:JBO-210373SSR. [PMID: 35701869 PMCID: PMC9199954 DOI: 10.1117/1.jbo.27.7.074716] [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: 11/22/2021] [Accepted: 05/05/2022] [Indexed: 05/06/2023]
Abstract
SIGNIFICANCE Multi-laboratory initiatives are essential in performance assessment and standardization-crucial for bringing biophotonics to mature clinical use-to establish protocols and develop reference tissue phantoms that all will allow universal instrument comparison. AIM The largest multi-laboratory comparison of performance assessment in near-infrared diffuse optics is presented, involving 28 instruments and 12 institutions on a total of eight experiments based on three consolidated protocols (BIP, MEDPHOT, and NEUROPT) as implemented on three kits of tissue phantoms. A total of 20 synthetic indicators were extracted from the dataset, some of them defined here anew. APPROACH The exercise stems from the Innovative Training Network BitMap funded by the European Commission and expanded to include other European laboratories. A large variety of diffuse optics instruments were considered, based on different approaches (time domain/frequency domain/continuous wave), at various stages of maturity and designed for different applications (e.g., oximetry, spectroscopy, and imaging). RESULTS This study highlights a substantial difference in hardware performances (e.g., nine decades in responsivity, four decades in dark count rate, and one decade in temporal resolution). Agreement in the estimates of homogeneous optical properties was within 12% of the median value for half of the systems, with a temporal stability of <5 % over 1 h, and day-to-day reproducibility of <3 % . Other tests encompassed linearity, crosstalk, uncertainty, and detection of optical inhomogeneities. CONCLUSIONS This extensive multi-laboratory exercise provides a detailed assessment of near-infrared Diffuse optical instruments and can be used for reference grading. The dataset-available soon in an open data repository-can be evaluated in multiple ways, for instance, to compare different analysis tools or study the impact of hardware implementations.
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Affiliation(s)
- Pranav Lanka
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
- Address all correspondence to Pranav Lanka, ; Heidrun Wabnitz,
| | - Lin Yang
- Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | | | - Joshua Deepak Veesa
- University of Birmingham, School of Computer Science, Birmingham, United Kingdom
| | | | - Aleh Sudakou
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Saeed Samaei
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Mario Forcione
- University Hospitals Birmingham, National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre, Birmingham, United Kingdom
| | - Zuzana Kovacsova
- UCL, Department of Medical Physics & Biomedical Engineering, London, United Kingdom
| | - Anurag Behera
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | - Thomas Gladytz
- Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | - Dirk Grosenick
- Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | - Lionel Hervé
- Université Grenoble Alpes, CEA, LETI, DTBS, Grenoble, France
| | - Turgut Durduran
- The Institute of Photonic Sciences (ICFO), Castelldefels, Spain
| | - Karolina Bejm
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Magdalena Morawiec
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Michał Kacprzak
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Piotr Sawosz
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Anna Gerega
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Adam Liebert
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Antonio Belli
- University Hospitals Birmingham, National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre, Birmingham, United Kingdom
| | - Ilias Tachtsidis
- UCL, Department of Medical Physics & Biomedical Engineering, London, United Kingdom
| | - Frédéric Lange
- UCL, Department of Medical Physics & Biomedical Engineering, London, United Kingdom
| | - Gemma Bale
- University of Cambridge, Department of Engineering and Department of Physics, Cambridge, United Kingdom
| | - Luca Baratelli
- University of Strasbourg, ICube Laboratory, Strasbourg, France
| | - Sylvain Gioux
- University of Strasbourg, ICube Laboratory, Strasbourg, France
| | - Kalyanov Alexander
- University Hospital Zurich, Biomedical Optics Research Laboratory, Department of Neonatology, Zurich, Switzerland
| | - Martin Wolf
- University Hospital Zurich, Biomedical Optics Research Laboratory, Department of Neonatology, Zurich, Switzerland
| | | | - Marta Zanoletti
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | - Ileana Pirovano
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | | | - Lina Qiu
- South China Normal University, School of Software, Guangzhou, China
| | | | - Giulia Maffeis
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | | | - Lorenzo Colombo
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | | | - Pietro Levoni
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | | | - Marco Renna
- Istituto di Fotonica e Nanotecnologie, Milano, Italy
| | - Laura Di Sieno
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | - Rebecca Re
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
- Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milano, Italy
| | - Andrea Farina
- Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milano, Italy
| | - Lorenzo Spinelli
- Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milano, Italy
| | | | - Davide Contini
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | - Paola Taroni
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | - Alberto Tosi
- Istituto di Fotonica e Nanotecnologie, Milano, Italy
| | | | - Hamid Dehghani
- University of Birmingham, School of Computer Science, Birmingham, United Kingdom
| | - Heidrun Wabnitz
- Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
- Address all correspondence to Pranav Lanka, ; Heidrun Wabnitz,
| | - Antonio Pifferi
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
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Hirano D, Kimura N, Yano H, Enoki M, Aikawa M, Goto Y, Taniguchi T. Different brain activation patterns in the prefrontal area between self-paced and high-speed driving tasks. JOURNAL OF BIOPHOTONICS 2022; 15:e202100295. [PMID: 35103406 DOI: 10.1002/jbio.202100295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 01/18/2022] [Accepted: 01/28/2022] [Indexed: 06/14/2023]
Abstract
The purpose of this study was to investigate the effects on prefrontal cortex brain activity when participants attempted to stop a car accurately at a stop line when driving at different speeds using functional near-infrared spectroscopy (fNIRS). Twenty healthy subjects with driving experience drove their own cars for a distance of 60 m five times each at their own pace or as fast as possible. The variation in the distance between the stop line and the car was not significantly different between the self-paced and high-speed tasks. However, oxygenated hemoglobin concentration in the prefrontal cortex was significantly higher in the high-speed task than in the self-paced task. These findings suggest that driving at high speed requires more divided attention than driving at self-paced speed, even though the participants were able to stop the car at the same distance from the target. This study shows the advantages and usefulness of fNIRS .
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Affiliation(s)
- Daisuke Hirano
- Graduate School of Health and Welfare Sciences, International University of Health and Welfare, Minato, Tokyo, Japan
- Department of Occupational Therapy, School of Health Sciences, International University of Health and Welfare, Otawara, Tochigi, Japan
| | - Naotoshi Kimura
- Graduate School of Health and Welfare Sciences, International University of Health and Welfare, Minato, Tokyo, Japan
- Department of Rehabilitation, International University of Health and Welfare Ichikawa Hospital, Ichikawa, Chiba, Japan
| | - Hana Yano
- Graduate School of Health and Welfare Sciences, International University of Health and Welfare, Minato, Tokyo, Japan
- Department of Occupational Therapy, School of Health Sciences, International University of Health and Welfare, Otawara, Tochigi, Japan
| | - Miku Enoki
- Graduate School of Health and Welfare Sciences, International University of Health and Welfare, Minato, Tokyo, Japan
- Department of Rehabilitation, International University of Health and Welfare Shioya Hospital, Yaita, Tochigi, Japan
| | - Maya Aikawa
- Graduate School of Health and Welfare Sciences, International University of Health and Welfare, Minato, Tokyo, Japan
- Department of Rehabilitation, International University of Health and Welfare Shioya Hospital, Yaita, Tochigi, Japan
| | - Yoshinobu Goto
- Graduate School of Health and Welfare Sciences, International University of Health and Welfare, Minato, Tokyo, Japan
- Faculty of Medicine, School of Medicine, International University of Health and Welfare, Narita, Chiba, Japan
- Department of Occupational Therapy, School of Health Sciences at Fukuoka, International University of Health and Welfare, Okawa, Fukuoka, Japan
| | - Takamichi Taniguchi
- Graduate School of Health and Welfare Sciences, International University of Health and Welfare, Minato, Tokyo, Japan
- Department of Occupational Therapy, School of Health Sciences, International University of Health and Welfare, Otawara, Tochigi, Japan
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de Souza Moura B, Hu XS, DosSantos MF, DaSilva AF. Study Protocol of tDCS Based Pain Modulation in Head and Neck Cancer Patients Under Chemoradiation Therapy Condition: An fNIRS-EEG Study. Front Mol Neurosci 2022; 15:859988. [PMID: 35721312 PMCID: PMC9200064 DOI: 10.3389/fnmol.2022.859988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 04/27/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundMultiple therapeutic strategies have been adopted to reduce pain, odynophagia, and oral mucositis in head and neck cancer patients. Among them, transcranial direct current stimulation (tDCS) represents a unique analgesic modality. However, the details of tDCS mechanisms in pain treatment are still unclear.Aims(1) to study the analgesic effects of a protocol that encompassed supervised-remote and in-clinic tDCS sessions applied in head and neck patients undergoing chemoradiation therapy; (2) to explore the underlining brain mechanisms of such modulation process, using a novel protocol that combined functional near-infrared spectroscopy (fNIRS), and electroencephalograph (EEG), two distinct neuroimaging methods that bring information regarding changes in the hemodynamic as well as in the electrical activity of the brain, respectively.MethodsThis proof-of-concept study was performed on two subjects. The study protocol included a 7-week-long tDCS stimulation procedure, a pre-tDCS baseline session, and two post-tDCS follow-up sessions. Two types of tDCS devices were used. One was used in the clinical setting and the other remotely. Brain imaging was obtained in weeks 1, 2, 5, 7, 8, and after 1 month.ResultsThe protocol implemented was safe and reliable. Preliminary results of the fNIRS analysis in weeks 2 and 7 showed a decrease in functional connections between the bilateral prefrontal cortex (PFC) and the primary sensory cortex (S1) (p < 0.05, FDR corrected). Changes in EEG power spectra were found in the PFC when comparing the seventh with the first week of tDCS.ConclusionThe protocol combining remote and in-clinic administered tDCS and integrated fNIRS and EEG to evaluate the brain activity is feasible. The preliminary results suggest that the mechanisms of tDCS in reducing the pain of head and neck cancer patients may be related to its effects on the connections between the S1 and the PFC.
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Affiliation(s)
- Brenda de Souza Moura
- Headache & Orofacial Pain Effort (H.O.P.E.), Department of Biologic and Materials Sciences, School of Dentistry, University of Michigan, Ann Arbor, MI, United States
- Laboratório de Propriedades Mecânicas e Biologia Celular (PropBio), Departamento de Prótese e Materiais Dentários, Faculdade de Odontologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Xiao-Su Hu
- Headache & Orofacial Pain Effort (H.O.P.E.), Department of Biologic and Materials Sciences, School of Dentistry, University of Michigan, Ann Arbor, MI, United States
| | - Marcos F. DosSantos
- Laboratório de Propriedades Mecânicas e Biologia Celular (PropBio), Departamento de Prótese e Materiais Dentários, Faculdade de Odontologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
- Marcos F. DosSantos ;
| | - Alexandre F. DaSilva
- Headache & Orofacial Pain Effort (H.O.P.E.), Department of Biologic and Materials Sciences, School of Dentistry, University of Michigan, Ann Arbor, MI, United States
- *Correspondence: Alexandre F. DaSilva
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Al-Shargie F, Katmah R, Tariq U, Babiloni F, Al-Mughairbi F, Al-Nashash H. Stress management using fNIRS and binaural beats stimulation. BIOMEDICAL OPTICS EXPRESS 2022; 13:3552-3575. [PMID: 35781942 PMCID: PMC9208616 DOI: 10.1364/boe.455097] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/21/2022] [Accepted: 05/19/2022] [Indexed: 06/15/2023]
Abstract
In this study, we investigate the effectiveness of binaural beats stimulation (BBs) in enhancing cognitive vigilance and mitigating mental stress level at the workplace. We developed an experimental protocol under four cognitive conditions: high vigilance (HV), vigilance enhancement (VE), mental stress (MS) and stress mitigation (SM). The VE and SM conditions were achieved by listening to 16 Hz of BBs. We assessed the four cognitive conditions using salivary alpha-amylase, behavioral responses, and Functional Near-Infrared Spectroscopy (fNIRS). We quantified the vigilance and stress levels using the reaction time (RT) to stimuli, accuracy of detection, and the functional connectivity metrics of the fNIRS estimated by Phase Locking Values (PLV). We propose using the orthogonal minimum spanning tree (OMST) to determine the true connectivity network patterns of the PLV. Our results show that listening to 16-Hz BBs has significantly reduced the level of alpha amylase by 44%, reduced the RT to stimuli by 20% and increased the accuracy of target detection by 25%, (p < 0.001). The analysis of the connectivity network across the four different cognitive conditions revealed several statistically significant trends. Specifically, a significant increase in connectivity between the right and left dorsolateral prefrontal cortex (DLPFC) areas and left orbitofrontal cortex was found during the vigilance enhancement condition compared to the high vigilance. Likewise, similar patterns were found between the right and left DLPFC, orbitofrontal cortex, right ventrolateral prefrontal cortex (VLPFC) and right frontopolar PFC (prefrontal cortex) area during stress mitigation compared to mental stress. Furthermore, the connectivity network under stress condition alone showed significant connectivity increase between the VLPFC and DLPFC compared to other areas. The laterality index demonstrated left frontal laterality under high vigilance and VE conditions, and right DLPFC and left frontopolar PFC while under mental stress. Overall, our results showed that BBs can be used for vigilance enhancement and stress mitigation.
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Affiliation(s)
- Fares Al-Shargie
- Department of Electrical Engineering, American University of Sharjah, Sharjah, P.O. Box 26666, United Arab Emirates
- Biomedical Engineering Graduate Program, American University of Sharjah, Sharjah, P.O. Box 26666, United Arab Emirates
| | - Rateb Katmah
- Biomedical Engineering Graduate Program, American University of Sharjah, Sharjah, P.O. Box 26666, United Arab Emirates
| | - Usman Tariq
- Department of Electrical Engineering, American University of Sharjah, Sharjah, P.O. Box 26666, United Arab Emirates
- Biomedical Engineering Graduate Program, American University of Sharjah, Sharjah, P.O. Box 26666, United Arab Emirates
| | - Fabio Babiloni
- Department Molecular Medicine, University of Sapienza Rome, 00185 Rome, Italy
| | - Fadwa Al-Mughairbi
- Department of Clinical Psychology, College of Medicines and Health Sciences, UAE University, Al Ain, United Arab Emirates
| | - Hasan Al-Nashash
- Department of Electrical Engineering, American University of Sharjah, Sharjah, P.O. Box 26666, United Arab Emirates
- Biomedical Engineering Graduate Program, American University of Sharjah, Sharjah, P.O. Box 26666, United Arab Emirates
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239
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Kao TC, Sung KB. Quantifying tissue optical properties of human heads in vivo using continuous-wave near-infrared spectroscopy and subject-specific three-dimensional Monte Carlo models. JOURNAL OF BIOMEDICAL OPTICS 2022; 27:083021. [PMID: 35733242 PMCID: PMC9214577 DOI: 10.1117/1.jbo.27.8.083021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 05/31/2022] [Indexed: 06/15/2023]
Abstract
SIGNIFICANCE Quantifying subject-specific optical properties (OPs) including absorption and transport scattering coefficients of tissues in the human head could improve the modeling of photon propagation for the analysis of functional near-infrared spectroscopy (fNIRS) data and dosage quantification in therapeutic applications. Current methods employ diffuse approximation, which excludes a low-scattering cerebrospinal fluid compartment and causes errors. AIM This work aims to quantify OPs of the scalp, skull, and gray matter in vivo based on accurate Monte Carlo (MC) modeling. APPROACH Iterative curve fitting was applied to quantify tissue OPs from multidistance continuous-wave NIR reflectance spectra. An artificial neural network (ANN) was trained using MC-simulated reflectance values based on subject-specific voxel-based tissue models to replace MC simulations as the forward model in curve fitting. To efficiently generate sufficient data for training the ANN, the efficiency of MC simulations was greatly improved by white MC simulations, increasing the detectors' acceptance angle, and building a lookup table for interpolation. RESULTS The trained ANN was six orders of magnitude faster than the original MC simulations. OPs of the three tissue compartments were quantified from NIR reflectance spectra measured at the forehead of five healthy subjects and their uncertainties were estimated. CONCLUSIONS This work demonstrated an MC-based iterative curve fitting method to quantify subject-specific tissue OPs in-vivo, with all OPs except for scattering coefficients of scalp within the ranges reported in the literature, which could aid the modeling of photon propagation in human heads.
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Affiliation(s)
- Tzu-Chia Kao
- National Taiwan University, Graduate Institute of Biomedical Electronics and Bioinformatics, Taipei, Taiwan
| | - Kung-Bin Sung
- National Taiwan University, Graduate Institute of Biomedical Electronics and Bioinformatics, Taipei, Taiwan
- National Taiwan University, Department of Electrical Engineering, Taipei, Taiwan
- National Taiwan University, Molecular Imaging Center, Taipei, Taiwan
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240
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Zhuang C, Meidenbauer KL, Kardan O, Stier AJ, Choe KW, Cardenas-Iniguez C, Huppert TJ, Berman MG. Scale invariance in fNIRS as a measurement of cognitive load. Cortex 2022; 154:62-76. [PMID: 35753183 DOI: 10.1016/j.cortex.2022.05.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 04/29/2022] [Accepted: 05/23/2022] [Indexed: 11/03/2022]
Abstract
Scale invariant neural dynamics are a relatively new but effective means of measuring changes in brain states as a result of varied cognitive load and task difficulty. This study tests whether scale invariance (as measured by the Hurst exponent, H) can be used with functional near-infrared spectroscopy (fNIRS) to quantify cognitive load, paving the way for scale-invariance to be measured in a variety of real-world settings. We analyzed H extracted from the fNIRS time series while participants completed an N-back working memory task. Consistent with what has been demonstrated in fMRI, the current results showed that scale-invariance analysis significantly differentiated between task and rest periods as calculated from both oxy- (HbO) and deoxy-hemoglobin (HbR) concentration changes. Results from both channel-averaged H and a multivariate partial least squares approach (Task PLS) demonstrated higher H during the 1-back task than the 2-back task. These results were stronger for H derived from HbR than from HbO. This suggests that scale-free brain states are a robust signature of cognitive load and not limited by the specific neuroimaging modality employed. Further, as fNIRS is relatively portable and robust to motion-related artifacts, these preliminary results shed light on the promising future of measuring cognitive load in real life settings.
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Affiliation(s)
- Chu Zhuang
- Environmental Neuroscience Lab, Department of Psychology, The University of Chicago, USA
| | - Kimberly L Meidenbauer
- Environmental Neuroscience Lab, Department of Psychology, The University of Chicago, USA.
| | - Omid Kardan
- Environmental Neuroscience Lab, Department of Psychology, The University of Chicago, USA
| | - Andrew J Stier
- Environmental Neuroscience Lab, Department of Psychology, The University of Chicago, USA
| | - Kyoung Whan Choe
- Environmental Neuroscience Lab, Department of Psychology, The University of Chicago, USA; Mansueto Institute for Urban Innovation, The University of Chicago, USA
| | | | - Theodore J Huppert
- Department of Electrical and Computer Engineering, The University of Pittsburgh, USA
| | - Marc G Berman
- Environmental Neuroscience Lab, Department of Psychology, The University of Chicago, USA; Neuroscience Institute, The University of Chicago, USA.
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Liang N, Liu S, Li X, Wen D, Li Q, Tong Y, Xu Y. A Decrease in Hemodynamic Response in the Right Postcentral Cortex Is Associated With Treatment-Resistant Auditory Verbal Hallucinations in Schizophrenia: An NIRS Study. Front Neurosci 2022; 16:865738. [PMID: 35692414 PMCID: PMC9177139 DOI: 10.3389/fnins.2022.865738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 04/11/2022] [Indexed: 11/19/2022] Open
Abstract
Background Treatment-resistant auditory verbal hallucinations (TRAVHs) might cause an increased risk of violence, suicide, and hospitalization in patients with schizophrenia (SCZ). Although neuroimaging studies have identified the neural correlation to the symptom of AVH, functional brain activity that correlates particularly in patients with TRAVH remains limited. Functional near-infrared spectroscopy (fNIRS) is a portable and suitable measurement, particularly in exploring brain activation during related tasks. Hence, our researchers aimed to explore the differences in the cerebral hemodynamic function in SCZ-TRAVH, patients with schizophrenia without AVH (SCZ-nAVH), and healthy controls (HCs), to examine neural abnormalities associated more specifically with TRAVH. Methods A 52-channel functional near-infrared spectroscopy system was used to monitor hemodynamic changes in patients with SCZ-TRAVH (n = 38), patients with SCZ-nAVH (n = 35), and HC (n = 30) during a verbal fluency task (VFT). VFT performance, clinical history, and symptom severity were also noted. The original fNIRS data were analyzed using MATLAB to obtain the β values (the brain cortical activity response during the VFT task period); these were used to calculate Δβ (VFT β minus baseline β), which represents the degree of change in oxygenated hemoglobin caused by VFT task. Result Our results showed that there were significant differences in Δβ values among the three groups at 26 channels (ch4, ch13-15, 18, 22, ch25–29, 32, ch35–39, ch43–51, F = 1.70 to 19.10, p < 0.043, FDR-corrected) distributed over the prefrontal–temporal cortical regions. The further pairwise comparisons showed that the Δβ values of 24 channels (ch13–15, 18, 22, 25, ch26–29, ch35–39, ch43–49, ch50–51) were significantly lower in the SCZ group (SCZ-TRAVH and/or SCZ-nAVH) than in the HC group (p < 0.026, FDR-corrected). Additionally, the abnormal activation in the ch22 of right postcentral gyrus was correlated, in turn, with severity of TRAVH. Conclusion Our findings indicate that specific regions of the prefrontal cortex may be associated with TRAVH, which may have implications for early intervention for psychosis.
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Affiliation(s)
- Nana Liang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorders, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Xinrong Li
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorders, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Dan Wen
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Qiqi Li
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Yujie Tong
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorders, First Hospital of Shanxi Medical University, Taiyuan, China
- Department of Mental Health, Shanxi Medical University, Taiyuan, China
- *Correspondence: Yong Xu
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Hyland-Monks R, Marchant D, Cronin L. Self-Paced Endurance Performance and Cerebral Hemodynamics of the Prefrontal Cortex: A Scoping Review of Methodology and Findings. Percept Mot Skills 2022; 129:1089-1114. [PMID: 35609231 PMCID: PMC9301167 DOI: 10.1177/00315125221101017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Recent research has suggested that top-down executive function associated with the prefrontal cortex is key to the decision-making processes and pacing of endurance performance. A small but growing body of literature has investigated the neurological underpinnings of these processes by subjecting the prefrontal cortex to functional near-infrared spectroscopy (fNIRS) measurement during self-paced endurance task performance. Given that fNIRS measurement for these purposes is a relatively recent development, the principal aim of this review was to assess the methodological rigor and findings of this body of research. We performed a systematic literature search to collate research assessing prefrontal cortex oxygenation via fNIRS during self-paced endurance performance. A total of 17 studies met the criteria for inclusion. We then extracted information concerning the methodology and findings from the studies reviewed. Promisingly, most of the reviewed studies reported having adopted commonplace and feasible best practice guidelines. However, a lack of adherence to these guidelines was evident in some areas. For instance, there was little evidence of measures to tackle and remove artifacts from data. Lastly, the reviewed studies provide insight into the significance of cerebral oxygenation to endurance performance and the role of the prefrontal cortex in pacing behavior. Therefore, future research that better follows the guidelines presented will help advance our understanding of the role of the brain in endurance performance and aid in the development of techniques to improve or maintain prefrontal cortex (PFC) oxygenation to help bolster endurance performance.
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Affiliation(s)
- Robert Hyland-Monks
- Department of Sport and Physical Activity, 6249Edge Hill University, Ormskirk, UK
| | - David Marchant
- Department of Sport and Physical Activity, 6249Edge Hill University, Ormskirk, UK
| | - Lorcan Cronin
- Department of Sport and Physical Activity, 6249Edge Hill University, Ormskirk, UK
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Anna CK, Anna H, Christoffer H, Sven-Erik R, Gudrun B, Roger OB. Non-invasive and invasive measurement of skeletal muscular oxygenation during isolated limb perfusion. Perfusion 2022:2676591221093201. [PMID: 35575302 DOI: 10.1177/02676591221093201] [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: 11/15/2022]
Abstract
BACKGROUND Isolated limb perfusion (ILP) is a regional surgical treatment for localized metastatic disease. High doses of chemotherapeutic agents are administered within an extracorporeal circulated isolated extremity, treating the metastasis, while systemic toxicity is avoided. To our knowledge, indexed oxygen supply/demand relationship during ILP has not previously been described. Our aim was to measure and describe oxygen metabolism, specifically oxygen delivery, consumption, and extraction, in an isolated leg/arm during ILP. Also investigate whether invasive oxygenation measurement during ILP correlates and can be used interchangeable with the non-invasive method, near infrared spectroscopy (NIRS). METHODS Data from 40 patients scheduled for ILP were included. At six time points blood samples were drawn during the procedure. DO2, VO2, and O2ER were calculated according to standard formulas. NIRS and hemodynamics were recorded every 10 min. RESULTS For all observations, the mean of DO2 was 190±59 ml/min/m2, VO2 was 35±8 ml/min/m2, and O2ER was 21±8%. VO2 was significantly higher in legs compared to arms (38±8 vs. 29±7 ml/min/m2, p=0.02). Repeated measures showed a significant decrease in DO2 in legs (209±65 to 180±66 ml/min/m2, p=<0.01) and in arms (252±72 to 150±57 ml/min/m2, p=<0.01). Significant increase in O2ER in arms was also found (p=0.03). Significant correlation was detected between NIRS and venous extremity oxygen saturation (SveO2) (rrm=0.568, p=<. 001, 95% CI 0.397-0.701). When comparing SveO2 and NIRS using a Bland-Altman analysis, the mean difference (bias) was 8.26±13.03 (p=<. 001) and the limit of agreement was - 17.28-33.09, with an error of 32.5%. CONCLUSION DO2 above 170 ml/min/m2 during ILP kept O2ER below 30% for all observations. NIRS correlates significant to SveO2; however, the two methods do not agree sufficiently to work interchangeable. Clinical Trial Registration URL: https://www.clinicaltrials.gov. Unique identifier: NCT04460053 and NCT03073304.
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Affiliation(s)
- Corderfeldt Keiller Anna
- Department of Cardiothoracic Surgery, Sahlgrenska University Hospital, Gothenburg, Sweden.,Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Holmén Anna
- Department of Cardiothoracic Surgery, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Hansson Christoffer
- Department of Cardiothoracic Surgery, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Ricksten Sven-Erik
- Department of Anesthesiology and Intensive Care Medicine, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Bragadottir Gudrun
- Department of Cardiothoracic Surgery, Sahlgrenska University Hospital, Gothenburg, Sweden.,Department of Anesthesiology and Intensive Care Medicine, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Olofsson Bagge Roger
- Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.,Department of Surgery, Sahlgrenska University Hospital, Gothenburg, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
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244
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Zhou C, Cheng X, Liu C, Li P. Interpersonal coordination enhances brain-to-brain synchronization and influences responsibility attribution and reward allocation in social cooperation. Neuroimage 2022; 252:119028. [PMID: 35217208 DOI: 10.1016/j.neuroimage.2022.119028] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 01/12/2022] [Accepted: 02/21/2022] [Indexed: 11/22/2022] Open
Abstract
Fair distribution of resources matters to both individual interests and group harmony during social cooperation. Different allocation rules, including equity- and equality-based rules, have been widely discussed in reward allocation research; however, it remains unclear whether and how individuals' cooperative manner, such as interpersonal coordination, influence their subsequent responsibility attribution and reward allocation. Here, 46 dyads conducted a time estimation task-either synergistically (the coordination group) or solely (the control group)-while their brain activities were measured using a functional near-infrared spectroscopy hyperscanning approach. Dyads in the coordination group showed higher behavioral synchrony and higher interpersonal brain synchronization (IBS) in the dorsal lateral prefrontal cortex (DLPFC) during the time estimation task than those in the control group. They also showed a more egalitarian tendency of responsibility attribution for the task outcome. More importantly, dyads in the coordination group who had higher IBS in the dorsal medial prefrontal cortex (DMPFC) were more inclined to make egalitarian reward allocations, and this effect was mediated by responsibility attribution. Our findings elucidate the influence of interpersonal coordination on reward allocation and the critical role of the prefrontal cortex in these processes.
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Affiliation(s)
- Can Zhou
- School of Psychology, Shenzhen University, No 3688, Nanhai Road, Nanshan District, Shenzhen 518060, China
| | - Xiaojun Cheng
- School of Psychology, Shenzhen University, No 3688, Nanhai Road, Nanshan District, Shenzhen 518060, China
| | - Chengwei Liu
- School of Education, Hunan University of Science and Technology, Xiangtan, China
| | - Peng Li
- School of Psychology, Shenzhen University, No 3688, Nanhai Road, Nanshan District, Shenzhen 518060, China; Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen, China.
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245
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Hu M, Shealy T. Priming Engineers to Think About Sustainability: Cognitive and Neuro-Cognitive Evidence to Support the Adoption of Green Stormwater Design. Front Neurosci 2022; 16:896347. [PMID: 35645724 PMCID: PMC9130648 DOI: 10.3389/fnins.2022.896347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 04/22/2022] [Indexed: 11/13/2022] Open
Abstract
Green infrastructure is the application of nature-based solutions like bioswales, rain gardens, and permeable pavements to reduce flooding in urban areas. These systems are underutilized in the design of the built environment. A barrier to their implementation is that design engineers tend to discount the tangential benefits of these greener systems and overweigh the associated risks. This study tested whether priming engineers to think about the environmental and social sustainability benefits of green infrastructure can influence what attributes engineers consider and how they weigh these attributes during the design decision-making process. Forty engineering students trained in stormwater design were asked to evaluate the implementation of a conventional stormwater design option and a green stormwater design option. Their preferred design option was recorded and the changes in their neuro-cognition were measured using functional near infrared-spectroscopy. Half of the engineers were asked to first consider the potential outcomes of these options on the environment and the surrounding community. Priming engineers to first consider environmental and social sustainability before considering the cost and risk of each option, significantly increased the perceived benefits the engineers believed green infrastructure could provide. The priming intervention also increased the likelihood that engineers would recommend the green infrastructure option. The engineers primed to think about environmental and social sustainability exhibited significantly lower oxy-hemoglobin in their ventrolateral, dorsolateral, and medial prefrontal cortex through multiple phases of the judgment and decision-making process. The intervention appears to increase cognitive representativeness or salience of the benefits for green infrastructure when engineers evaluate design alternatives. This relatively low-cost intervention, asking engineers to consider environmental and social sustainability for each design alternative, can shift engineering decision-making and change neuro-cognition.
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Affiliation(s)
- Mo Hu
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, United States
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246
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Paul R, Murali K, Chetia S, Varma HM. A simple algorithm for diffuse optical tomography without Jacobian inversion. Biomed Phys Eng Express 2022; 8. [PMID: 35447616 DOI: 10.1088/2057-1976/ac6909] [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: 03/02/2022] [Accepted: 04/21/2022] [Indexed: 11/11/2022]
Abstract
A computationally simpler algorithm to reconstruct the optical property distribution of turbid media using diffuse optical tomographic principles is presented. The proposed algorithm eliminates the requirement of large Jacobian matrix inversion which otherwise is essential for tomographic imaging. The most significant Jacobians are identified based on proper thresholding of the measurement and the intersection of these Jacobians gives the approximate spatial location of the inhomogeneity. The algorithm is tested and optimized using simulations and further validated using tissue-mimicking phantom-based experiments andin-vivosmall-animal experiments.
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Affiliation(s)
- Ria Paul
- Indian Institute of Technology Bombay (IITB), Mumbai-400076, India
| | - K Murali
- Indian Institute of Technology Bombay (IITB), Mumbai-400076, India
| | - Sumana Chetia
- Indian Institute of Technology Bombay (IITB), Mumbai-400076, India
| | - Hari M Varma
- Indian Institute of Technology Bombay (IITB), Mumbai-400076, India
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247
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Di Domenico SI, Fournier MA, Rodrigo AH, Dong M, Ayaz H, Ryan RM, Ruocco AC. Medial Prefrontal Activity During Self-Other Judgments is Modulated by Relationship Need Fulfillment. Soc Neurosci 2022; 17:236-245. [PMID: 35504857 DOI: 10.1080/17470919.2022.2074135] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The medial prefrontal cortex (MPFC) plays an important role in representing semantic self-knowledge. Studies comparing semantic self-judgments with judgments of close others suggest that interpersonal closeness may influence the degree to which the MPFC differentiates self and other. We used optical neuroimaging to examine if support for competence, relatedness, and autonomy from relationship partners moderates MPFC activity during a personality judgement task. Participants (N = 109) were asked to judge the descriptive accuracy of trait adjectives for both themselves and a friend. Participants who reported lower need fulfillment with their friend showed elevated activity only in the self-judgment condition; in contrast, participants who reported higher need fulfillment with their friend showed similarly high levels of MPFC activity across the conditions. These results are consistent with the idea that the MPFC differentially represents others on the basis of the need fulfillment experienced within the relationship.
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Affiliation(s)
| | | | | | - Mengxi Dong
- Department of Psychology, University of Toronto Scarborough
| | - Hasan Ayaz
- School of Biomedical Engineering, Science and Health Systems, Drexel University.,Department of Psychology, College of Arts and Sciences, Drexel University.,Drexel Solutions Institute, Drexel University.,Department of Family and Community Health, University of Pennsylvania.,Center for Injury Research and Prevention, Children's Hospital of Philadelphia
| | - Richard M Ryan
- Institute for Positive Psychology and Education, Australian Catholic University
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248
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Scholkmann F, Zohdi H, Wolf U. The Role of Systemic Physiology in Individual Hemodynamic Responses Measured on the Head Due to Long-Term Stimulation Involving Colored Light Exposure and a Cognitive Task: An SPA-fNIRS Study. Brain Sci 2022; 12:brainsci12050597. [PMID: 35624984 PMCID: PMC9139284 DOI: 10.3390/brainsci12050597] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/22/2022] [Accepted: 04/28/2022] [Indexed: 12/16/2022] Open
Abstract
In our previous investigations using systemic physiology augmented functional near-infrared spectroscopy (SPA-fNIRS) neuroimaging, we found larger variability between subjects in changes of cerebral hemodynamics and oxygenation induced by an intricate experimental paradigm involving colored light exposure and a cognitive task. We aimed to investigate the role the activity of the systemic physiology has on individual variations in the fNIRS data. Thirty-two healthy subjects (17 female, 15 male and age: 25.5 ± 4.3 years) were exposed to blue and red light for 9 min (colored light exposure, CLE) while performing a verbal fluency task (VFT). We found that (i), at the group level, the visual cortex showed a stronger deoxyhemoglobin concentration response during blue light exposure than during red light exposure, and (ii) this relationship was influenced by individually different baseline blood pressure values. Furthermore, we found other correlations between changes in fNIRS signals and changes in systemic physiology. Our study demonstrates the usefulness and necessity of the SPA-fNIRS approach to gain insights into the individual variability of hemodynamic responses measured with fNIRS, especially in the case of an intricate experimental paradigm (i.e., CLE-VFT) as used in our study.
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Affiliation(s)
- Felix Scholkmann
- Institute of Complementary and Integrative Medicine, University of Bern, 3012 Bern, Switzerland;
- Biomedical Optics Research Laboratory, Department of Neonatology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
- Correspondence: (F.S.); (U.W.)
| | - Hamoon Zohdi
- Institute of Complementary and Integrative Medicine, University of Bern, 3012 Bern, Switzerland;
| | - Ursula Wolf
- Institute of Complementary and Integrative Medicine, University of Bern, 3012 Bern, Switzerland;
- Correspondence: (F.S.); (U.W.)
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249
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Raayai Ardakani M, Yu L, Kaeli DR, Fang Q. Framework for denoising Monte Carlo photon transport simulations using deep learning. JOURNAL OF BIOMEDICAL OPTICS 2022; 27:JBO-220016SSR. [PMID: 35614533 PMCID: PMC9130925 DOI: 10.1117/1.jbo.27.8.083019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 04/14/2022] [Indexed: 06/15/2023]
Abstract
SIGNIFICANCE The Monte Carlo (MC) method is widely used as the gold-standard for modeling light propagation inside turbid media, such as human tissues, but combating its inherent stochastic noise requires one to simulate a large number photons, resulting in high computational burdens. AIM We aim to develop an effective image denoising technique using deep learning (DL) to dramatically improve the low-photon MC simulation result quality, equivalently bringing further acceleration to the MC method. APPROACH We developed a cascade-network combining DnCNN with UNet, while extending a range of established image denoising neural-network architectures, including DnCNN, UNet, DRUNet, and deep residual-learning for denoising MC renderings (ResMCNet), in handling three-dimensional MC data and compared their performances against model-based denoising algorithms. We also developed a simple yet effective approach to creating synthetic datasets that can be used to train DL-based MC denoisers. RESULTS Overall, DL-based image denoising algorithms exhibit significantly higher image quality improvements over traditional model-based denoising algorithms. Among the tested DL denoisers, our cascade network yields a 14 to 19 dB improvement in signal-to-noise ratio, which is equivalent to simulating 25 × to 78 × more photons. Other DL-based methods yielded similar results, with our method performing noticeably better with low-photon inputs and ResMCNet along with DRUNet performing better with high-photon inputs. Our cascade network achieved the highest quality when denoising complex domains, including brain and mouse atlases. CONCLUSIONS Incorporating state-of-the-art DL denoising techniques can equivalently reduce the computation time of MC simulations by one to two orders of magnitude. Our open-source MC denoising codes and data can be freely accessed at http://mcx.space/.
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Affiliation(s)
- Matin Raayai Ardakani
- Northeastern University, Department of Electrical and Computer Engineering, Boston, Massachusetts, United States
| | - Leiming Yu
- Analogic Corporation, Peabody, Massachusetts, United States
| | - David R. Kaeli
- Northeastern University, Department of Electrical and Computer Engineering, Boston, Massachusetts, United States
| | - Qianqian Fang
- Northeastern University, Department of Bioengineering, Boston, Massachusetts, United States
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250
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Blaney G, Bottoni M, Sassaroli A, Fernandez C, Fantini S. Broadband diffuse optical spectroscopy of two-layered scattering media containing oxyhemoglobin, deoxyhemoglobin, water, and lipids. JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES 2022; 15:2250020. [PMID: 35720681 PMCID: PMC9203000 DOI: 10.1142/s1793545822500201] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
We investigated the relationship between chromophore concentrations in two-layered scattering media and the apparent chromophore concentrations measured with broadband optical spectroscopy in conjunction with commonly used homogeneous medium inverse models. We used diffusion theory togenerate optical data from a two-layered distribution of relevant tissue absorbers, namely, oxyhemoglobin, deoxyhemoglobin, water, and lipids, with a top-layer thickness in the range 1-15 mm. The generated data consisted of broadband continuous-wave (CW) diffuse reflectance in the wavelength range 650-1024 nm, and frequency-domain (FD) diffuse reflectance at 690 and 830 nm; two source-detector distances of 25 and 35 mm were used to simulate a dual-slope technique. The data were inverted using diffusion theory for a semi-infinite homogeneous medium to generate reduced scattering coefficients at 690 and 830 nm (from FD data) and effective absorption spectra in the range 650-1024 nm (from CW data). The absorption spectra were then converted into effective total concentration and oxygen saturation of hemoglobin, as well as water and lipid concentrations. For absolute values, it was found that the effective hemoglobin parameters are typically representative of the bottom layer, whereas water and lipid represent some average of the respective concentrations in the two layers. For concentration changes, lipid showed a significant cross-talk with other absorber concentrations, thus indicating that lipid dynamics obtained in these conditions may not be reliable. These systematic simulations of broadband spectroscopy of two-layered media provide guidance on how to interpret effective optical properties measured with similar instrumental setups under the assumption of medium homogeneity.
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Affiliation(s)
- Giles Blaney
- Department of Biomedical Engineering, Tufts University 4 Colby St, Medford, MA 02155, USA
| | - Martina Bottoni
- Department of Biomedical Engineering, Tufts University 4 Colby St, Medford, MA 02155, USA
- Department of Biomedical Engineering, Politecnico di Torino 24 Corso Duca degli Abruzzi, Torino, TO 10129, Italy
| | - Angelo Sassaroli
- Department of Biomedical Engineering, Tufts University 4 Colby St, Medford, MA 02155, USA
| | - Cristianne Fernandez
- Department of Biomedical Engineering, Tufts University 4 Colby St, Medford, MA 02155, USA
| | - Sergio Fantini
- Department of Biomedical Engineering, Tufts University 4 Colby St, Medford, MA 02155, USA
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