151
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Tinga AM, de Back TT, Louwerse MM. Non-invasive neurophysiological measures of learning: A meta-analysis. Neurosci Biobehav Rev 2019; 99:59-89. [PMID: 30735681 DOI: 10.1016/j.neubiorev.2019.02.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2018] [Revised: 12/22/2018] [Accepted: 02/04/2019] [Indexed: 01/09/2023]
Abstract
In a meta-analysis of 113 experiments we examined neurophysiological outcomes of learning, and the relationship between neurophysiological and behavioral outcomes of learning. Findings showed neurophysiology yielding large effect sizes, with the majority of studies examining electroencephalography and eye-related outcome measures. Effect sizes on neurophysiological outcomes were smaller than effect sizes on behavioral outcomes, however. Neurophysiological outcomes were, but behavioral outcomes were not, influenced by several modulating factors. These factors included the sensory system in which learning took place, number of learning days, whether feedback on performance was provided, and age of participants. Controlling for these factors resulted in the effect size differences between behavior and neurophysiology to disappear. The findings of the current meta-analysis demonstrate that neurophysiology is an appropriate measure in assessing learning, particularly when taking into account factors that could have an influence on neurophysiology. We propose a first model to aid further studies that are needed to examine the exact interplay between learning, neurophysiology, behavior, individual differences, and task-related aspects.
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Affiliation(s)
- Angelica M Tinga
- Department of Cognitive Science & Artificial Intelligence, Tilburg University, Dante Building, Room D 330, Warandelaan 2, 5037 AB Tilburg, The Netherlands.
| | - Tycho T de Back
- Department of Cognitive Science & Artificial Intelligence, Tilburg University, Dante Building, Room D 330, Warandelaan 2, 5037 AB Tilburg, The Netherlands
| | - Max M Louwerse
- Department of Cognitive Science & Artificial Intelligence, Tilburg University, Dante Building, Room D 330, Warandelaan 2, 5037 AB Tilburg, The Netherlands
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152
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Wagshul ME, Lucas M, Ye K, Izzetoglu M, Holtzer R. Multi-modal neuroimaging of dual-task walking: Structural MRI and fNIRS analysis reveals prefrontal grey matter volume moderation of brain activation in older adults. Neuroimage 2019; 189:745-754. [PMID: 30710680 DOI: 10.1016/j.neuroimage.2019.01.045] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 01/17/2019] [Accepted: 01/21/2019] [Indexed: 11/28/2022] Open
Abstract
It has been well established over the last two decades that walking is not merely an automatic, motoric activity; it also utilizes executive function circuits, which play an increasingly important role in walking for older people and those with mobility and cognitive deficits. Dual-task walking, such as walking while performing a cognitive task, is a necessary skill for everyday functioning, and has been shown to activate prefrontal lobe areas in healthy older people. Another well-established point in healthy aging is the loss of grey matter, and in particular loss of frontal lobe grey matter volume. However, the relationship between increased frontal lobe activity during dual-task walking and loss of frontal grey matter in healthy aging remains unknown. In the current study, we combined oxygenated hemoglobin (HbO2) data from functional near-infrared spectroscopy (fNIRS), taken during dual-task walking, with structural MRI volumetrics in a cohort of healthy older subjects to identify this relationship. We studied fifty-five relatively healthy, older participants (≥65 years) during two separate sessions: fNIRS to measure HbO2 changes between single-task (i.e., normal walking) and dual-task walking-while-talking, and high-resolution, structural MRI to measure frontal lobe grey matter volumes. Linear mixed effects modeling was utilized to determine the moderation effect of grey matter volume on the change in prefrontal oxygenated hemoglobin between the two walking tasks, while controlling for covariates including task performance. We found a highly significant interaction effect between frontal grey matter volume and task on HbO2 levels (p < 0.0001). Specifically, increased HbO2 levels during dual-task compared to single-task walking were associated with reduced frontal grey matter volume. Regional analysis identified bilateral superior and rostral middle gyri as the primary areas driving these results. The findings provide support for the concept of neural inefficiency: in the absence of behavioral gains, grey matter loss in relatively healthy, older individuals leads to over-activation of frontal lobe during a cognitively demanding walking task with established clinical and predictive utility.
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Affiliation(s)
- Mark E Wagshul
- Department of Radiology, Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Bronx, NY, USA; Physiology and Biophysics, Albert Einstein College of Medicine, Bronx, NY, USA.
| | - Melanie Lucas
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA
| | - Kenny Ye
- Department of Epidemiology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Meltem Izzetoglu
- Villanova University, Electrical and Computer Engineering, Villanova, PA, USA
| | - Roee Holtzer
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA; Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
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153
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Oh S, Song M, Kim J. Validating attentive locomotion training using interactive treadmill: an fNIRS study. J Neuroeng Rehabil 2018; 15:122. [PMID: 30572919 PMCID: PMC6302412 DOI: 10.1186/s12984-018-0472-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 12/07/2018] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Existing treadmill-based locomotion training, which has been used for gait function recovery, still has limitations, such as less attentive training. Interactive treadmills (ITMs) were developed to overcome these limitations, but it has not yet been verified that ITMs can make the user pay closer attention to walk training. METHODS An experimental comparison between ITMs and conventional treadmills was conducted by measuring the level of the user's attention using functional near-infrared spectroscopy (fNIRS). To consider the effect of task complexity on the subject's attention, we provided two (slow and fast) speed conditions for walking on both treadmills. RESULTS Both the cortical activity images and oxygenated hemoglobin (oxyHb) changes showed that the level of attention to walking induced by the ITM was significantly higher than that induced by the conventional treadmill. We found that the walking speed on the ITM also affected the level of attention. CONCLUSION ITM-based locomotion training would be a promising solution to the limitations of existing treadmill-based locomotion training currently used to improve gait function recovery. TRIAL REGISTRATION DGIST-HR-150309-03-02 . Registered 01 March 2015.
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Affiliation(s)
- Seunghue Oh
- Department of Robotics Engineering, DGIST (Daegu Gyeongbuk Institute of Science and Technology), 333 Techno Jungang-daero, Daegu, 42988 Republic of Korea
| | - Minsu Song
- Department of Robotics Engineering, DGIST (Daegu Gyeongbuk Institute of Science and Technology), 333 Techno Jungang-daero, Daegu, 42988 Republic of Korea
| | - Jonghyun Kim
- Department of Robotics Engineering, DGIST (Daegu Gyeongbuk Institute of Science and Technology), 333 Techno Jungang-daero, Daegu, 42988 Republic of Korea
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154
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Liu YC, Yang YR, Tsai YA, Wang RY, Lu CF. Brain Activation and Gait Alteration During Cognitive and Motor Dual Task Walking in Stroke—A Functional Near-Infrared Spectroscopy Study. IEEE Trans Neural Syst Rehabil Eng 2018; 26:2416-2423. [DOI: 10.1109/tnsre.2018.2878045] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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155
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Tamashiro H, Kinoshita S, Okamoto T, Urushidani N, Abo M. Effect of baseline brain activity on response to low-frequency rTMS/intensive occupational therapy in poststroke patients with upper limb hemiparesis: a near-infrared spectroscopy study. Int J Neurosci 2018; 129:337-343. [DOI: 10.1080/00207454.2018.1536053] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- Hiroaki Tamashiro
- Department of Rehabilitation Medicine, Nishi-Hiroshima Rehabilitation Hospital, Hiroshima, Japan
| | - Shoji Kinoshita
- Department of Rehabilitation Medicine, The Jikei University School of Medicine, Minato-Ku, Tokyo, Japan
- Department of Rehabilitation Medicine, Aomori Shintoshi Hospital, Aomori, Aomori, Japan
| | - Takatsugu Okamoto
- Department of Rehabilitation Medicine, Nishi-Hiroshima Rehabilitation Hospital, Hiroshima, Japan
- Department of Rehabilitation Medicine, The Jikei University School of Medicine, Minato-Ku, Tokyo, Japan
| | - Naoki Urushidani
- Department of Rehabilitation Medicine, Nishi-Hiroshima Rehabilitation Hospital, Hiroshima, Japan
| | - Masahiro Abo
- Department of Rehabilitation Medicine, The Jikei University School of Medicine, Minato-Ku, Tokyo, Japan
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156
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Herold F, Wiegel P, Scholkmann F, Müller NG. Applications of Functional Near-Infrared Spectroscopy (fNIRS) Neuroimaging in Exercise⁻Cognition Science: A Systematic, Methodology-Focused Review. J Clin Med 2018; 7:E466. [PMID: 30469482 PMCID: PMC6306799 DOI: 10.3390/jcm7120466] [Citation(s) in RCA: 206] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 11/09/2018] [Accepted: 11/15/2018] [Indexed: 12/18/2022] Open
Abstract
For cognitive processes to function well, it is essential that the brain is optimally supplied with oxygen and blood. In recent years, evidence has emerged suggesting that cerebral oxygenation and hemodynamics can be modified with physical activity. To better understand the relationship between cerebral oxygenation/hemodynamics, physical activity, and cognition, the application of state-of-the art neuroimaging tools is essential. Functional near-infrared spectroscopy (fNIRS) is such a neuroimaging tool especially suitable to investigate the effects of physical activity/exercises on cerebral oxygenation and hemodynamics due to its capability to quantify changes in the concentration of oxygenated hemoglobin (oxyHb) and deoxygenated hemoglobin (deoxyHb) non-invasively in the human brain. However, currently there is no clear standardized procedure regarding the application, data processing, and data analysis of fNIRS, and there is a large heterogeneity regarding how fNIRS is applied in the field of exercise⁻cognition science. Therefore, this review aims to summarize the current methodological knowledge about fNIRS application in studies measuring the cortical hemodynamic responses during cognitive testing (i) prior and after different physical activities interventions, and (ii) in cross-sectional studies accounting for the physical fitness level of their participants. Based on the review of the methodology of 35 as relevant considered publications, we outline recommendations for future fNIRS studies in the field of exercise⁻cognition science.
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Affiliation(s)
- Fabian Herold
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg 39120, Germany.
| | - Patrick Wiegel
- Department of Sport Science, University of Freiburg, Freiburg 79117, Germany.
- Bernstein Center Freiburg, University of Freiburg, Freiburg 79104, Germany.
| | - Felix Scholkmann
- Biomedical Optics Research Laboratory, Department of Neonatology, University Hospital Zurich, University of Zürich, Zürich 8091, Switzerland.
| | - Notger G Müller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg 39120, Germany.
- Center for Behavioral Brain Sciences (CBBS), Magdeburg 39118, Germany.
- Department of Neurology, Medical Faculty, Otto von Guericke University, Magdeburg 39120, Germany.
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157
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Harrison SJ, Hough M, Schmid K, Groff BR, Stergiou N. When Coordinating Finger Tapping to a Variable Beat the Variability Scaling Structure of the Movement and the Cortical BOLD Signal are Both Entrained to the Auditory Stimuli. Neuroscience 2018; 392:203-218. [PMID: 29958941 PMCID: PMC8091912 DOI: 10.1016/j.neuroscience.2018.06.025] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Revised: 06/12/2018] [Accepted: 06/18/2018] [Indexed: 01/13/2023]
Abstract
Rhythmic actions are characterizable as a repeating invariant pattern of movement together with variability taking the form of cycle-to-cycle fluctuations. Variability in behavioral measures is atypically random, and often exhibits serial temporal dependencies and statistical self-similarity in the scaling of variability magnitudes across timescales. Self-similar (i.e. fractal) variability scaling is evident in measures of both brain and behavior. Variability scaling structure can be quantified via the scaling exponent (α) from detrended fluctuation analysis (DFA). Here we study the task of coordinating thumb-finger tapping to the beats of constructed auditory stimuli. We test the hypothesis that variability scaling evident in tap-to-tap intervals as well as in the fluctuations of cortical hemodynamics will become entrained to (i.e. drawn toward) manipulated changes in the variability scaling of a stimulus's beat-to-beat intervals. Consistent with this hypothesis, manipulated changes of the exponent α of the experimental stimuli produced corresponding changes in the exponent α of both tap-to-tap intervals and cortical hemodynamics. The changes in hemodynamics were observed in both motor and sensorimotor cortical areas in the contralateral hemisphere. These results were observed only for the longer timescales of the detrended fluctuation analysis used to measure the exponent α. These findings suggest that complex auditory stimuli engage both brain and behavior at the level of variability scaling structures.
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Affiliation(s)
- Steven J Harrison
- Department of Kinesiology, University of Connecticut, United States.
| | - Michael Hough
- Department of Biomechanics, University of Nebraska at Omaha, United States
| | - Kendra Schmid
- Department of Biostatistics, University of Nebraska Medical Center, United States
| | - Boman R Groff
- Department of Biomechanics, University of Nebraska at Omaha, United States
| | - Nicholas Stergiou
- Department of Biomechanics, University of Nebraska at Omaha, United States
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158
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Bonetti LV, Hassan SA, Lau ST, Melo LT, Tanaka T, Patterson KK, Reid WD. Oxyhemoglobin changes in the prefrontal cortex in response to cognitive tasks: a systematic review. Int J Neurosci 2018; 129:195-203. [PMID: 30173620 DOI: 10.1080/00207454.2018.1518906] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PURPOSE OF THE STUDY the aim of this study was to synthesize PFC fNIRS outcomes on the effects of cognitive tasks compared to resting/baseline tasks in healthy adults from studies utilizing a pre/post design. MATERIAL AND METHODS original research studies were searched from seven databases (MEDLINE, EMBASE, CENTRAL, CINAHL, SCOPUS, PEDro and PubMed). Subsequently, two independent reviewers screened the titles and abstracts followed by full-text reviews to assess the studies' eligibility. RESULTS eleven studies met the inclusion criteria and had data abstracted and quality assessed. Methodology varied considerably and yet cognitive tasks resulted in the ΔO2Hb increasing in 8 of the 11 and ΔHHb decreasing in 8 of 8 studies that reported this outcome. The cognitive tasks from 10 of the 11 studies were classified as "Working Memory" and "Verbal Fluency Tasks". CONCLUSIONS although, the data comparison was challenging provided the heterogeneity in methodology, the results across studies were similar.
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Affiliation(s)
- Leandro Viçosa Bonetti
- a Department of Physical Therapy , University of Toronto , Toronto, ON , Canada.,b Department of Physical Therapy , Universidade de Caxias do Sul , Rio Grande do Sul , Brazil
| | - Syed A Hassan
- a Department of Physical Therapy , University of Toronto , Toronto, ON , Canada.,c Rehabilitation Sciences Institute, University of Toronto , Toronto , ON , Canada
| | - Sin-Tung Lau
- d Department of Kinesiology and Physical Education , Wilfrid Laurier University , Waterloo , ON , Canada.,e Toronto Rehabilitation Institute, University Health Network , Toronto , ON , Canada
| | - Luana T Melo
- a Department of Physical Therapy , University of Toronto , Toronto, ON , Canada
| | - Takako Tanaka
- a Department of Physical Therapy , University of Toronto , Toronto, ON , Canada.,f Department of Cardiopulmonary Rehabilitation Science , Nagasaki University Graduate School of Biomedical Sciences , Nagasaki , Japan
| | - Kara K Patterson
- a Department of Physical Therapy , University of Toronto , Toronto, ON , Canada.,c Rehabilitation Sciences Institute, University of Toronto , Toronto , ON , Canada.,e Toronto Rehabilitation Institute, University Health Network , Toronto , ON , Canada
| | - W Darlene Reid
- a Department of Physical Therapy , University of Toronto , Toronto, ON , Canada.,c Rehabilitation Sciences Institute, University of Toronto , Toronto , ON , Canada.,e Toronto Rehabilitation Institute, University Health Network , Toronto , ON , Canada.,g Interdepartmental Division of Critical Care Medicine , University of Toronto , Toronto , ON , Canada
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159
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Nemani A, Yücel MA, Kruger U, Gee DW, Cooper C, Schwaitzberg SD, De S, Intes X. Assessing bimanual motor skills with optical neuroimaging. SCIENCE ADVANCES 2018; 4:eaat3807. [PMID: 30306130 PMCID: PMC6170034 DOI: 10.1126/sciadv.aat3807] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Accepted: 08/29/2018] [Indexed: 05/12/2023]
Abstract
Measuring motor skill proficiency is critical for the certification of highly skilled individuals in numerous fields. However, conventional measures use subjective metrics that often cannot distinguish between expertise levels. We present an advanced optical neuroimaging methodology that can objectively and successfully classify subjects with different expertise levels associated with bimanual motor dexterity. The methodology was tested by assessing laparoscopic surgery skills within the framework of the fundamentals of a laparoscopic surgery program, which is a prerequisite for certification in general surgery. We demonstrate that optical-based metrics outperformed current metrics for surgical certification in classifying subjects with varying surgical expertise. Moreover, we report that optical neuroimaging allows for the successful classification of subjects during the acquisition of these skills.
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Affiliation(s)
- Arun Nemani
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Meryem A. Yücel
- Department of Radiology, Harvard Medical School, Cambridge, MA 02138, USA
| | - Uwe Kruger
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Denise W. Gee
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Clairice Cooper
- University at Buffalo School of Medicine and Biomedical Sciences, Buffalo, NY 14260, USA
| | - Steven D. Schwaitzberg
- University at Buffalo School of Medicine and Biomedical Sciences, Buffalo, NY 14260, USA
| | - Suvranu De
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
- Corresponding author. (S.D.); (X.I.)
| | - Xavier Intes
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
- Corresponding author. (S.D.); (X.I.)
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160
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Wriessnegger SC, Bauernfeind G, Kurz EM, Raggam P, Müller-Putz GR. Imagine squeezing a cactus: Cortical activation during affective motor imagery measured by functional near-infrared spectroscopy. Brain Cogn 2018; 126:13-22. [DOI: 10.1016/j.bandc.2018.07.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 07/17/2018] [Accepted: 07/17/2018] [Indexed: 12/26/2022]
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161
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Park JL, Dudchenko PA, Donaldson DI. Navigation in Real-World Environments: New Opportunities Afforded by Advances in Mobile Brain Imaging. Front Hum Neurosci 2018; 12:361. [PMID: 30254578 PMCID: PMC6141718 DOI: 10.3389/fnhum.2018.00361] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 08/23/2018] [Indexed: 12/29/2022] Open
Abstract
A central question in neuroscience and psychology is how the mammalian brain represents the outside world and enables interaction with it. Significant progress on this question has been made in the domain of spatial cognition, where a consistent network of brain regions that represent external space has been identified in both humans and rodents. In rodents, much of the work to date has been done in situations where the animal is free to move about naturally. By contrast, the majority of work carried out to date in humans is static, due to limitations imposed by traditional laboratory based imaging techniques. In recent years, significant progress has been made in bridging the gap between animal and human work by employing virtual reality (VR) technology to simulate aspects of real-world navigation. Despite this progress, the VR studies often fail to fully simulate important aspects of real-world navigation, where information derived from self-motion is integrated with representations of environmental features and task goals. In the current review article, we provide a brief overview of animal and human imaging work to date, focusing on commonalties and differences in findings across species. Following on from this we discuss VR studies of spatial cognition, outlining limitations and developments, before introducing mobile brain imaging techniques and describe technical challenges and solutions for real-world recording. Finally, we discuss how these advances in mobile brain imaging technology, provide an unprecedented opportunity to illuminate how the brain represents complex multifaceted information during naturalistic navigation.
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Affiliation(s)
- Joanne L Park
- Department of Psychology, Faculty of Natural Sciences, University of Stirling, Stirling, United Kingdom
| | - Paul A Dudchenko
- Department of Psychology, Faculty of Natural Sciences, University of Stirling, Stirling, United Kingdom
| | - David I Donaldson
- Department of Psychology, Faculty of Natural Sciences, University of Stirling, Stirling, United Kingdom
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162
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Balconi M, Crivelli D, Cortesi L. Transitive Versus Intransitive Complex Gesture Representation: A Comparison Between Execution, Observation and Imagination by fNIRS. Appl Psychophysiol Biofeedback 2018; 42:179-191. [PMID: 28589287 DOI: 10.1007/s10484-017-9365-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
The aim of the present study was to examine cortical correlates of motor execution, motor observation and motor imagery of hand complex gestures, in particular by comparing meaningful gestures implying the use of an object (transitive action) or not (intransitive action). Functional near-infrared spectroscopy (fNIRS) was used to verify the presence of partial overlapping between some cortical areas involved in those different tasks. Participants were instructed to observe videos of transitive vs. intransitive gestures and then to execute or imagine them. Gesture execution was associated to greater brain activity (increased oxygenated hemoglobin levels) with respect to observation and imagination in motor areas (premotor cortex, PMC; primary sensorimotor cortex, SM1). In contrast, the posterior parietal cortex (PPC) was more relevantly involved in both execution and observation tasks compared to gesture imagination. Moreover, execution and observation of transitive gestures seemed primarily supported by similar parietal posterior areas when compared with intransitive gestures, which do not imply the presence on a object.
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Affiliation(s)
- Michela Balconi
- Research Unit in Affective and Social Neuroscience, Catholic University of the Sacred Heart, Milan, Italy. .,Department of Psychology, Catholic University of the Sacred Heart, Largo Gemelli, 1, 20123, Milan, Italy.
| | - Davide Crivelli
- Research Unit in Affective and Social Neuroscience, Catholic University of the Sacred Heart, Milan, Italy.,Department of Psychology, Catholic University of the Sacred Heart, Largo Gemelli, 1, 20123, Milan, Italy
| | - Livia Cortesi
- Department of Psychology, Catholic University of the Sacred Heart, Largo Gemelli, 1, 20123, Milan, Italy
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163
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Vergotte G, Perrey S, Muthuraman M, Janaqi S, Torre K. Concurrent Changes of Brain Functional Connectivity and Motor Variability When Adapting to Task Constraints. Front Physiol 2018; 9:909. [PMID: 30042697 PMCID: PMC6048415 DOI: 10.3389/fphys.2018.00909] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Accepted: 06/21/2018] [Indexed: 01/08/2023] Open
Abstract
In behavioral neuroscience, the adaptability of humans facing different constraints has been addressed on one side at the brain level, where a variety of functional networks dynamically support the same performance, and on the other side at the behavioral level, where fractal properties in sensorimotor variables have been considered as a hallmark of adaptability. To bridge the gap between the two levels of observation, we have jointly investigated the changes of network connectivity in the sensorimotor cortex assessed by modularity analysis and the properties of motor variability assessed by multifractal analysis during a prolonged tapping task. Four groups of participants had to produce the same tapping performance while being deprived from 0, 1, 2, or 3 sensory feedbacks simultaneously (auditory and/or visual and/or tactile). Whereas tapping performance was not statistically different across groups, the number of brain networks involved and the degree of multifractality of the inter-tap interval series were significantly correlated, increasing as a function of feedback deprivation. Our findings provide first evidence that concomitant changes in brain modularity and multifractal properties characterize adaptations underlying unchanged performance. We discuss implications of our findings with respect to the degeneracy properties of complex systems, and the entanglement of adaptability and effective adaptation.
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Affiliation(s)
| | | | - Muthuraman Muthuraman
- Movement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing Unit, Focus Program Translational Neuroscience (FTN), Department of Neurology, Johannes Gutenberg University, Mainz, Germany
| | - Stefan Janaqi
- LGI2P, Institut Mines Télécom-Ecole des Mines d'Alès, Alès, France
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164
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Hong KS, Khan MJ, Hong MJ. Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces. Front Hum Neurosci 2018; 12:246. [PMID: 30002623 PMCID: PMC6032997 DOI: 10.3389/fnhum.2018.00246] [Citation(s) in RCA: 105] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Accepted: 05/29/2018] [Indexed: 11/13/2022] Open
Abstract
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) patients is investigated. Brain tasks, channel selection methods, and feature extraction and classification algorithms available in the literature are reviewed. First, we categorize various types of patients with cognitive and motor impairments to assess the suitability of BCI for each of them. The prefrontal cortex is identified as a suitable brain region for imaging. Second, the brain activity that contributes to the generation of hemodynamic signals is reviewed. Mental arithmetic and word formation tasks are found to be suitable for use with LIS patients. Third, since a specific targeted brain region is needed for BCI, methods for determining the region of interest are reviewed. The combination of a bundled-optode configuration and threshold-integrated vector phase analysis turns out to be a promising solution. Fourth, the usable fNIRS features and EEG features are reviewed. For hybrid BCI, a combination of the signal peak and mean fNIRS signals and the highest band powers of EEG signals is promising. For classification, linear discriminant analysis has been most widely used. However, further research on vector phase analysis as a classifier for multiple commands is desirable. Overall, proper brain region identification and proper selection of features will improve classification accuracy. In conclusion, five future research issues are identified, and a new BCI scheme, including brain therapy for LIS patients and using the framework of hybrid fNIRS-EEG BCI, is provided.
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Affiliation(s)
- Keum-Shik Hong
- Department of Cogno-Mechatronics Engineering, Pusan National University, Busan, South Korea.,School of Mechanical Engineering, Pusan National University, Busan, South Korea
| | - M Jawad Khan
- School of Mechanical Engineering, Pusan National University, Busan, South Korea
| | - Melissa J Hong
- Early Learning, FIRST 5 Santa Clara County, San Jose, CA, United States
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165
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Lee SH, Jin SH, An J. Distinction of directional coupling in sensorimotor networks between active and passive finger movements using fNIRS. BIOMEDICAL OPTICS EXPRESS 2018; 9:2859-2870. [PMID: 30258695 PMCID: PMC6154205 DOI: 10.1364/boe.9.002859] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Revised: 05/23/2018] [Accepted: 05/24/2018] [Indexed: 06/08/2023]
Abstract
The purpose of this study is to investigate cerebral cortex activation during active movement and passive movement by using a functional near-infrared spectroscopy (fNIRS). Tasks were the flexion/extension of the right hand finger by active movement and passive movement. Oxy-hemoglobin concentration changes calculated from fNIRS and analyzed the activation and connectivity so as to understand dynamical brain relationship. The results demonstrated that the brain activation in passive movements is similar to motor execution. During active movement, the estimated causality patterns showed significant causality value from the supplementary motor area (SMA) to the primary motor cortex (M1). During the passive movement, the causality from the primary somatosensory cortex (S1) to the primary motor cortex (M1) was stronger than active movement. These results demonstrated that active and passive movements had a direct effect on the cerebral cortex but the stimulus pathway of active and passive movement is different. This study may contribute to better understanding how active and passive movements can be expressed into cortical activation by means of fNIRS.
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166
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Rupawala M, Dehghani H, Lucas SJE, Tino P, Cruse D. Shining a Light on Awareness: A Review of Functional Near-Infrared Spectroscopy for Prolonged Disorders of Consciousness. Front Neurol 2018; 9:350. [PMID: 29872420 PMCID: PMC5972220 DOI: 10.3389/fneur.2018.00350] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 04/30/2018] [Indexed: 12/19/2022] Open
Abstract
Qualitative clinical assessments of the recovery of awareness after severe brain injury require an assessor to differentiate purposeful behavior from spontaneous behavior. As many such behaviors are minimal and inconsistent, behavioral assessments are susceptible to diagnostic errors. Advanced neuroimaging tools can bypass behavioral responsiveness and reveal evidence of covert awareness and cognition within the brains of some patients, thus providing a means for more accurate diagnoses, more accurate prognoses, and, in some instances, facilitated communication. The majority of reports to date have employed the neuroimaging methods of functional magnetic resonance imaging, positron emission tomography, and electroencephalography (EEG). However, each neuroimaging method has its own advantages and disadvantages (e.g., signal resolution, accessibility, etc.). Here, we describe a burgeoning technique of non-invasive optical neuroimaging—functional near-infrared spectroscopy (fNIRS)—and review its potential to address the clinical challenges of prolonged disorders of consciousness. We also outline the potential for simultaneous EEG to complement the fNIRS signal and suggest the future directions of research that are required in order to realize its clinical potential.
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Affiliation(s)
- Mohammed Rupawala
- Centre for Doctoral Training in Physical Sciences for Health, University of Birmingham, Birmingham, United Kingdom
| | - Hamid Dehghani
- Centre for Doctoral Training in Physical Sciences for Health, University of Birmingham, Birmingham, United Kingdom.,School of Computer Science, University of Birmingham, Birmingham, United Kingdom
| | - Samuel J E Lucas
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Peter Tino
- School of Computer Science, University of Birmingham, Birmingham, United Kingdom
| | - Damian Cruse
- School of Psychology, University of Birmingham, Birmingham, United Kingdom
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167
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Estimating Functional Connectivity Symmetry between Oxy- and Deoxy-Haemoglobin: Implications for fNIRS Connectivity Analysis. ALGORITHMS 2018. [DOI: 10.3390/a11050070] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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168
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Bulgarelli C, Blasi A, Arridge S, Powell S, de Klerk CCJM, Southgate V, Brigadoi S, Penny W, Tak S, Hamilton A. Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset. Neuroimage 2018; 175:413-424. [PMID: 29655936 PMCID: PMC5971219 DOI: 10.1016/j.neuroimage.2018.04.022] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2018] [Revised: 03/19/2018] [Accepted: 04/09/2018] [Indexed: 01/25/2023] Open
Abstract
Tracking the connectivity of the developing brain from infancy through childhood is an area of increasing research interest, and fNIRS provides an ideal method for studying the infant brain as it is compact, safe and robust to motion. However, data analysis methods for fNIRS are still underdeveloped compared to those available for fMRI. Dynamic causal modelling (DCM) is an advanced connectivity technique developed for fMRI data, that aims to estimate the coupling between brain regions and how this might be modulated by changes in experimental conditions. DCM has recently been applied to adult fNIRS, but not to infants. The present paper provides a proof-of-principle for the application of this method to infant fNIRS data and a demonstration of the robustness of this method using a simultaneously recorded fMRI-fNIRS single case study, thereby allowing the use of this technique in future infant studies. fMRI and fNIRS were simultaneously recorded from a 6-month-old sleeping infant, who was presented with auditory stimuli in a block design. Both fMRI and fNIRS data were preprocessed using SPM, and analysed using a general linear model approach. The main challenges that adapting DCM for fNIRS infant data posed included: (i) the import of the structural image of the participant for spatial pre-processing, (ii) the spatial registration of the optodes on the structural image of the infant, (iii) calculation of an accurate 3-layer segmentation of the structural image, (iv) creation of a high-density mesh as well as (v) the estimation of the NIRS optical sensitivity functions. To assess our results, we compared the values obtained for variational Free Energy (F), Bayesian Model Selection (BMS) and Bayesian Model Average (BMA) with the same set of possible models applied to both the fMRI and fNIRS datasets. We found high correspondence in F, BMS, and BMA between fMRI and fNIRS data, therefore showing for the first time high reliability of DCM applied to infant fNIRS data. This work opens new avenues for future research on effective connectivity in infancy by contributing a data analysis pipeline and guidance for applying DCM to infant fNIRS data. Connectivity studies give important insights into infant brain development. fNIRS is a valuable method for infancy studies, but can we analyse connectivity? On fMRI-fNIRS acquired simultaneously, we estimate effective connectivity with DCM. We showed high correspondence of DCM values between fMRI and fNIRS data. We validated DCM on fNIRS infant data, providing guidance for future projects.
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Affiliation(s)
- Chiara Bulgarelli
- Centre for Brain and Cognitive Development, Birkbeck College, University of London, United Kingdom.
| | - Anna Blasi
- Centre for Brain and Cognitive Development, Birkbeck College, University of London, United Kingdom
| | - Simon Arridge
- Centre for Medical Image Computing, University College London, United Kingdom
| | - Samuel Powell
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom
| | - Carina C J M de Klerk
- Centre for Brain and Cognitive Development, Birkbeck College, University of London, United Kingdom
| | | | - Sabrina Brigadoi
- Department of Developmental Psychology, University of Padova, Italy
| | - William Penny
- School of Psychology, University of East Anglia, Norwich, United Kingdom
| | - Sungho Tak
- Bioimaging Research Team, Korea Basic Science Institute, South Korea
| | - Antonia Hamilton
- Institute of Cognitive Neuroscience, University College London, United Kingdom
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169
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Maidan I, Nieuwhof F, Bernad-Elazari H, Bloem BR, Giladi N, Hausdorff JM, Claassen JAHR, Mirelman A. Evidence for Differential Effects of 2 Forms of Exercise on Prefrontal Plasticity During Walking in Parkinson's Disease. Neurorehabil Neural Repair 2018; 32:200-208. [PMID: 29546797 DOI: 10.1177/1545968318763750] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND In a randomized control trial conducted in patients with Parkinson's disease, a treadmill training program combined with virtual reality that targeted motor and cognitive aspects of safe ambulation led to fewer falls, compared with treadmill training alone. OBJECTIVE To investigate if the 2 types of training differentially affected prefrontal activation and if this might explain differences in fall rates after the intervention. METHODS Sixty-four patients with Parkinson's disease were randomized into the treadmill training arm (n = 34, mean age 73.1 ± 1.1 years, 64% men, disease duration 9.7 ± 1.0 years) or treadmill training with virtual reality arm (n = 30, mean age 70.1 ± 1.3 years, 71% men, disease duration 8.9 ± 1.1 years). Prefrontal activation during usual, dual-task, and obstacle negotiation walking was assessed before and after 6 weeks of training, using a functional near-infrared spectroscopy system. RESULTS Treadmill training with and without virtual reality reduced prefrontal activation during walking ( P < .001), with specific interactions related to training arm ( P = .01), lateralization ( P = .05), and walking condition ( P = .001). For example, among the subjects who trained with treadmill training alone, prefrontal activation during dual-task walking and obstacle negotiation increased after training, while in the combined training arm, activation decreased. CONCLUSIONS Prefrontal activation during usual and during more challenging walking conditions can be altered in response to 2 different types of training. The addition of a cognitive training component to a treadmill exercise program apparently modifies the effects of the training on the magnitude and lateralization of prefrontal activation and on falls, extending the understanding of the plasticity of the brain in PD.
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Affiliation(s)
- Inbal Maidan
- 1 Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,2 Tel Aviv University, Tel Aviv, Israel
| | - Freek Nieuwhof
- 3 Radboud University, Nijmegen, Netherlands.,4 Radboud University Medical Center, Nijmegen, Netherlands
| | | | - Bastiaan R Bloem
- 3 Radboud University, Nijmegen, Netherlands.,4 Radboud University Medical Center, Nijmegen, Netherlands
| | - Nir Giladi
- 1 Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,2 Tel Aviv University, Tel Aviv, Israel
| | - Jeffrey M Hausdorff
- 1 Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,2 Tel Aviv University, Tel Aviv, Israel.,5 Rush University Medical Center, Chicago, IL, USA
| | - Jurgen A H R Claassen
- 3 Radboud University, Nijmegen, Netherlands.,4 Radboud University Medical Center, Nijmegen, Netherlands
| | - Anat Mirelman
- 1 Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,2 Tel Aviv University, Tel Aviv, Israel
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170
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Wu S, Li J, Gao L, Chen C, He S. Suppressing Systemic Interference in fNIRS Monitoring of the Hemodynamic Cortical Response to Motor Execution and Imagery. Front Hum Neurosci 2018; 12:85. [PMID: 29556184 PMCID: PMC5845019 DOI: 10.3389/fnhum.2018.00085] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Accepted: 02/19/2018] [Indexed: 11/13/2022] Open
Abstract
Hemodynamic response to motor execution (ME) and motor imagery (MI) was investigated using functional near-infrared spectroscopy (fNIRS). We used a 31 channel fNIRS system which allows non-invasive monitoring of cerebral oxygenation changes induced by cortical activation. Sixteen healthy subjects (mean-age 24.5 yeas) were recruited and the changes in concentration of hemoglobin were examined during right and left hand finger tapping tasks and kinesthetic MI. To suppress the systemic physiological interference, we developed a preprocessing procedure which prevents over-activated reporting in NIRS-SPM. In the condition of ME, more activation was observed in the anterior part of the motor cortex including the pre-motor and supplementary motor area (pre-motor and SMA), primary motor cortex (M1) and somatosensory motor cortex (SMC; t(15) > 2.27), however, in the condition of MI, more activation was found in the posterior part of motor cortex including SMC (t(15) > 1.81), which is in line with previous observations with functional magnetic resonance imaging (fMRI).
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Affiliation(s)
- Shijing Wu
- School of Information and Optoelectronic Science and Engineering, South China Normal University (SCNU), Guangzhou, China.,Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, Center for Optical and Electromagnetic Research, South China Academy of Advanced Optoelectronics, South China Normal University (SCNU), Guangzhou, China
| | - Jun Li
- Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, Center for Optical and Electromagnetic Research, South China Academy of Advanced Optoelectronics, South China Normal University (SCNU), Guangzhou, China
| | - Lantian Gao
- Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, Center for Optical and Electromagnetic Research, South China Academy of Advanced Optoelectronics, South China Normal University (SCNU), Guangzhou, China
| | - Changshui Chen
- School of Information and Optoelectronic Science and Engineering, South China Normal University (SCNU), Guangzhou, China
| | - Sailing He
- Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, Center for Optical and Electromagnetic Research, South China Academy of Advanced Optoelectronics, South China Normal University (SCNU), Guangzhou, China
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171
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Dai X, Zhang T, Yang H, Tang J, Carney PR, Jiang H. Fast noninvasive functional diffuse optical tomography for brain imaging. JOURNAL OF BIOPHOTONICS 2018; 11:e201600267. [PMID: 28696034 DOI: 10.1002/jbio.201600267] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Revised: 04/23/2017] [Accepted: 06/29/2017] [Indexed: 05/23/2023]
Abstract
Advances in epilepsy studies have shown that specific changes in hemodynamics precede and accompany seizure onset and propagation. However, it has been challenging to noninvasively detect these changes in real time and in humans, due to the lack of fast functional neuroimaging tools. In this study, we present a functional diffuse optical tomography (DOT) method with the guidance of an anatomical human head atlas for 3-dimensionally mapping the brain in real time. Central to our DOT system is a human head interface coupled with a technique that can incorporate topological information of the brain surface into the DOT image reconstruction. The performance of the DOT system was tested by imaging motor tasks-involved brain activities on N = 6 subjects (3 epilepsy patients and 3 healthy controls). We observed diffuse areas of activations from the reconstructed [HbT] images of patients, relative to more focal activations for healthy subjects. Moreover, significant pretask hemodynamic activations were also seen in the motor cortex of patients, which indicated abnormal activities persistent in the brain of an epilepsy patient. This work demonstrates that fast functional DOT is a valuable tool for noninvasive 3-dimensional mapping of brain hemodynamics.
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Affiliation(s)
- Xianjin Dai
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida
| | - Tao Zhang
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida
| | - Hao Yang
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida
| | - Jianbo Tang
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida
| | - Paul R Carney
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Huabei Jiang
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida
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172
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Saita K, Morishita T, Arima H, Hyakutake K, Ogata T, Yagi K, Shiota E, Inoue T. Biofeedback effect of hybrid assistive limb in stroke rehabilitation: A proof of concept study using functional near infrared spectroscopy. PLoS One 2018; 13:e0191361. [PMID: 29338060 PMCID: PMC5770063 DOI: 10.1371/journal.pone.0191361] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Accepted: 01/03/2018] [Indexed: 11/21/2022] Open
Abstract
Introduction Robot-assisted rehabilitation has been increasingly drawing attention in the field of neurorehabilitation. The hybrid assistive limb (HAL) is an exoskeleton robot developed based on the “interactive biofeedback” theory, and several studies have shown its efficacy for patients with stroke. We aimed to investigate the mechanisms of the facilitative effect of neurorehabilitation using a single-joint HAL (HAL-SJ) and functional near-infrared spectroscopy (fNIRS). Materials and methods Subacute stroke patients admitted to our hospital were assessed in this study for HAL eligibility. We evaluated motor-related cortical activity using an fNIRS system at baseline and immediately after HAL-SJ treatment on the same day. Cortical activity was determined through the relative changes in the hemoglobin concentrations. For statistical analysis, we compared the number of flexion/extension movements before and immediately after HAL-SJ treatment using paired t-test. fNIRS used both the methods of statistical parametric mapping and random effect analysis. Results We finally included 10 patients (eight men, two women; mean age: 66.8 ± 12.0 years). The mean number of flexion/extension movements within 15 s increased significantly from 4.2 ± 3.1 to 5.3 ± 4.1 immediately after training. fNIRS showed increased cortical activation in the primary motor cortex of the ipsilesional hemisphere immediately after HAL-SJ treatment compared to the baseline condition. Conclusions This study is the first to support the concept of the biofeedback effect from the perspective of changes in cortical activity measured with an fNIRS system. The biofeedback effect of HAL immediately increased the task-related cortical activity, and this may address the functional recovery. Further studies are warranted to support our findings.
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Affiliation(s)
- Kazuya Saita
- Department of Neurosurgery, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
- Department of Rehabilitation Medicine, Fukuoka University Hospital, Fukuoka, Japan
| | - Takashi Morishita
- Department of Neurosurgery, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
- * E-mail:
| | - Hisatomi Arima
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Koichi Hyakutake
- Department of Neurosurgery, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
- Department of Rehabilitation Medicine, Fukuoka University Hospital, Fukuoka, Japan
| | - Toshiyasu Ogata
- Department of Neurology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Kenji Yagi
- Department of Neurosurgery, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Etsuji Shiota
- Department of Rehabilitation Medicine, Fukuoka University Hospital, Fukuoka, Japan
| | - Tooru Inoue
- Department of Neurosurgery, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
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173
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Pfeifer MD, Scholkmann F, Labruyère R. Signal Processing in Functional Near-Infrared Spectroscopy (fNIRS): Methodological Differences Lead to Different Statistical Results. Front Hum Neurosci 2018; 11:641. [PMID: 29358912 PMCID: PMC5766679 DOI: 10.3389/fnhum.2017.00641] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Accepted: 12/18/2017] [Indexed: 11/13/2022] Open
Abstract
Even though research in the field of functional near-infrared spectroscopy (fNIRS) has been performed for more than 20 years, consensus on signal processing methods is still lacking. A significant knowledge gap exists between established researchers and those entering the field. One major issue regularly observed in publications from researchers new to the field is the failure to consider possible signal contamination by hemodynamic changes unrelated to neurovascular coupling (i.e., scalp blood flow and systemic blood flow). This might be due to the fact that these researchers use the signal processing methods provided by the manufacturers of their measurement device without an advanced understanding of the performed steps. The aim of the present study was to investigate how different signal processing approaches (including and excluding approaches that partially correct for the possible signal contamination) affect the results of a typical functional neuroimaging study performed with fNIRS. In particular, we evaluated one standard signal processing method provided by a commercial company and compared it to three customized approaches. We thereby investigated the influence of the chosen method on the statistical outcome of a clinical data set (task-evoked motor cortex activity). No short-channels were used in the present study and therefore two types of multi-channel corrections based on multiple long-channels were applied. The choice of the signal processing method had a considerable influence on the outcome of the study. While methods that ignored the contamination of the fNIRS signals by task-evoked physiological noise yielded several significant hemodynamic responses over the whole head, the statistical significance of these findings disappeared when accounting for part of the contamination using a multi-channel regression. We conclude that adopting signal processing methods that correct for physiological confounding effects might yield more realistic results in cases where multi-distance measurements are not possible. Furthermore, we recommend using manufacturers' standard signal processing methods only in case the user has an advanced understanding of every signal processing step performed.
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Affiliation(s)
- Mischa D. Pfeifer
- Rehabilitation Center for Children and Adolescents, University Children’s Hospital Zurich, Affoltern am Albis, Switzerland
| | - Felix Scholkmann
- Biomedical Optics Research Laboratory, Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Rob Labruyère
- Rehabilitation Center for Children and Adolescents, University Children’s Hospital Zurich, Affoltern am Albis, Switzerland
- Children’s Research Center, University Children’s Hospital Zurich, Zurich, Switzerland
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174
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Draghici AE, Potart D, Hollmann JL, Pera V, Fang Q, DiMarzio CA, Taylor JA, Niedre MJ, Shefelbine SJ. Near infrared spectroscopy for measuring changes in bone hemoglobin content after exercise in individuals with spinal cord injury. J Orthop Res 2018; 36:183-191. [PMID: 28561268 PMCID: PMC5711624 DOI: 10.1002/jor.23622] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Accepted: 05/19/2017] [Indexed: 02/04/2023]
Abstract
Bone blood perfusion has an essential role in maintaining a healthy bone. However, current methods for measuring bone blood perfusion are expensive and highly invasive. This study presents a custom built near-infrared spectroscopy (NIRS) instrument to measure changes in bone blood perfusion. We demonstrated the efficacy of this device by monitoring oxygenated and deoxygenated hemoglobin changes in the human tibia during and after exercise in able-bodied and in individuals with spinal cord injury (SCI), a population with known impaired peripheral blood perfusion. Nine able-bodied individuals and six volunteers with SCI performed a 10 min rowing exercise (functional electrical stimulation rowing for those with SCI). With exercise, during rowing, able-bodied showed an increase in deoxygenated hemoglobin in the tibia. Post rowing, able-bodied showed an increase in total blood content, characterized by an increase in total hemoglobin content due primarily to an increase in deoxygenated hemoglobin. During rowing and post-rowing, those with SCI showed no change in total blood content in the tibia. The current study demonstrates that NIRS can non-invasively detect changes in hemoglobin concentration in the tibia. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:183-191, 2018.
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Affiliation(s)
- Adina E. Draghici
- Department of Bioengineering, Northeastern University, Boston, MA, USA
| | - Diane Potart
- Université de Technologie Compiègne, Compiègne, France
| | | | - Vivian Pera
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Qianqian Fang
- Department of Bioengineering, Northeastern University, Boston, MA, USA,Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA
| | - Charles A. DiMarzio
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA
| | - J. Andrew Taylor
- Cardiovascular Research Laboratory, Spaulding Rehabilitation Hospital, Cambridge, MA, USA,Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA
| | - Mark J. Niedre
- Department of Bioengineering, Northeastern University, Boston, MA, USA,Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA
| | - Sandra J. Shefelbine
- Department of Bioengineering, Northeastern University, Boston, MA, USA,Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, USA
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175
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Orihuela-Espina F, Leff DR, James DRC, Darzi AW, Yang GZ. Imperial College near infrared spectroscopy neuroimaging analysis framework. NEUROPHOTONICS 2018; 5:011011. [PMID: 28948193 PMCID: PMC5603769 DOI: 10.1117/1.nph.5.1.011011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2017] [Accepted: 08/23/2017] [Indexed: 05/03/2023]
Abstract
This paper describes the Imperial College near infrared spectroscopy neuroimaging analysis (ICNNA) software tool for functional near infrared spectroscopy neuroimaging data. ICNNA is a MATLAB-based object-oriented framework encompassing an application programming interface and a graphical user interface. ICNNA incorporates reconstruction based on the modified Beer-Lambert law and basic processing and data validation capabilities. Emphasis is placed on the full experiment rather than individual neuroimages as the central element of analysis. The software offers three types of analyses including classical statistical methods based on comparison of changes in relative concentrations of hemoglobin between the task and baseline periods, graph theory-based metrics of connectivity and, distinctively, an analysis approach based on manifold embedding. This paper presents the different capabilities of ICNNA in its current version.
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Affiliation(s)
- Felipe Orihuela-Espina
- Imperial College London, Hamlyn Center for Robotic Surgery, United Kingdom
- Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Puebla, Mexico
- Address all correspondence to: Felipe Orihuela-Espina, E-mail:
| | - Daniel R. Leff
- Imperial College London, Hamlyn Center for Robotic Surgery, United Kingdom
| | - David R. C. James
- Imperial College London, Hamlyn Center for Robotic Surgery, United Kingdom
| | - Ara W. Darzi
- Imperial College London, Hamlyn Center for Robotic Surgery, United Kingdom
| | - Guang-Zhong Yang
- Imperial College London, Hamlyn Center for Robotic Surgery, United Kingdom
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176
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Wu S, Li J, Gao L, Chen C, He S. Suppressing Systemic Interference in fNIRS Monitoring of the Hemodynamic Cortical Response to Motor Execution and Imagery. Front Hum Neurosci 2018. [PMID: 29556184 DOI: 10.3389/fnhum.2018.0008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/23/2023] Open
Abstract
Hemodynamic response to motor execution (ME) and motor imagery (MI) was investigated using functional near-infrared spectroscopy (fNIRS). We used a 31 channel fNIRS system which allows non-invasive monitoring of cerebral oxygenation changes induced by cortical activation. Sixteen healthy subjects (mean-age 24.5 yeas) were recruited and the changes in concentration of hemoglobin were examined during right and left hand finger tapping tasks and kinesthetic MI. To suppress the systemic physiological interference, we developed a preprocessing procedure which prevents over-activated reporting in NIRS-SPM. In the condition of ME, more activation was observed in the anterior part of the motor cortex including the pre-motor and supplementary motor area (pre-motor and SMA), primary motor cortex (M1) and somatosensory motor cortex (SMC; t(15) > 2.27), however, in the condition of MI, more activation was found in the posterior part of motor cortex including SMC (t(15) > 1.81), which is in line with previous observations with functional magnetic resonance imaging (fMRI).
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Affiliation(s)
- Shijing Wu
- School of Information and Optoelectronic Science and Engineering, South China Normal University (SCNU), Guangzhou, China
- Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, Center for Optical and Electromagnetic Research, South China Academy of Advanced Optoelectronics, South China Normal University (SCNU), Guangzhou, China
| | - Jun Li
- Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, Center for Optical and Electromagnetic Research, South China Academy of Advanced Optoelectronics, South China Normal University (SCNU), Guangzhou, China
| | - Lantian Gao
- Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, Center for Optical and Electromagnetic Research, South China Academy of Advanced Optoelectronics, South China Normal University (SCNU), Guangzhou, China
| | - Changshui Chen
- School of Information and Optoelectronic Science and Engineering, South China Normal University (SCNU), Guangzhou, China
| | - Sailing He
- Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, Center for Optical and Electromagnetic Research, South China Academy of Advanced Optoelectronics, South China Normal University (SCNU), Guangzhou, China
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177
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Muthalib M, Ferrari M, Quaresima V, Kerr G, Perrey S. Functional near-infrared spectroscopy to probe sensorimotor region activation during electrical stimulation-evoked movement. Clin Physiol Funct Imaging 2017; 38:816-822. [PMID: 29110426 DOI: 10.1111/cpf.12485] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Accepted: 10/11/2017] [Indexed: 11/29/2022]
Abstract
This study used non-invasive functional near-infrared spectroscopy (fNIRS) neuroimaging to monitor bilateral sensorimotor region activation during unilateral voluntary (VOL) and neuromuscular electrical stimulation (NMES)-evoked movements. METHODS In eight healthy male volunteers, fNIRS was used to measure relative changes in oxyhaemoglobin (O2 Hb) and deoxyhaemoglobin (HHb) concentrations from a cortical sensorimotor region of interest in the left (LH) and right (RH) hemispheres during NMES-evoked and VOL wrist extension movements of the right arm. RESULTS NMES-evoked movements induced significantly greater activation (increase in O2 Hb and concomitant decrease in HHb) in the contralateral LH than in the ipsilateral RH (O2 Hb: 0·44 ± 0·16 μM and 0·25 ± 0·22 μM, P = 0·017; HHb: -0·19 ± 0·10 μM and -0·12 ± 0·09 μM, P = 0·036, respectively) as did VOL movements (0·51 ± 0·24 μΜ and 0·34 ± 0·21 μM, P = 0·031; HHb: -0·18 ± 0·07 μΜ and -0·12 ± 0·04 μΜ, P = 0·05, respectively). There was no significant difference between conditions for O2 Hb (P = 0·144) and HHb (P = 0·958). CONCLUSION fNIRS neuroimaging enables quantification of bilateral sensorimotor regional activation profiles during voluntary and NMES-evoked wrist extension movements.
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Affiliation(s)
- Makii Muthalib
- EuroMov, Univ. Montpellier, Montpellier, France.,SilverLine Research Services, Brisbane, QLD, Australia.,Movement Neuroscience, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - Marco Ferrari
- Department of Life, Health & Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Valentina Quaresima
- Department of Life, Health & Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Graham Kerr
- Movement Neuroscience, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
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178
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Vergotte G, Torre K, Chirumamilla VC, Anwar AR, Groppa S, Perrey S, Muthuraman M. Dynamics of the human brain network revealed by time-frequency effective connectivity in fNIRS. BIOMEDICAL OPTICS EXPRESS 2017; 8:5326-5341. [PMID: 29188123 PMCID: PMC5695973 DOI: 10.1364/boe.8.005326] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 09/06/2017] [Accepted: 09/11/2017] [Indexed: 05/15/2023]
Abstract
Functional near infrared spectroscopy (fNIRS) is a promising neuroimaging method for investigating networks of cortical regions over time. We propose a directed effective connectivity method (TPDC) allowing the capture of both time and frequency evolution of the brain's networks using fNIRS data acquired from healthy subjects performing a continuous finger-tapping task. Using this method we show the directed connectivity patterns among cortical motor regions involved in the task and their significant variations in the strength of information flow exchanges. Intra and inter-hemispheric connections during the motor task with their temporal evolution are also provided. Characterisation of the fluctuations in brain connectivity opens up a new way to assess the organisation of the brain to adapt to changing task constraints, or under pathological conditions.
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Affiliation(s)
| | | | - Venkata Chaitanya Chirumamilla
- Movement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing Unit, Department of Neurology, Focus Program Translational Neuroscience (FTN), Department of Neurology, Johannes Gutenberg University, Mainz, Germany
| | - Abdul Rauf Anwar
- Biomedical Engineering Department, UET Lahore (KSK), Lahore, Pakistan
| | - Sergiu Groppa
- Movement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing Unit, Department of Neurology, Focus Program Translational Neuroscience (FTN), Department of Neurology, Johannes Gutenberg University, Mainz, Germany
| | | | - Muthuraman Muthuraman
- Movement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing Unit, Department of Neurology, Focus Program Translational Neuroscience (FTN), Department of Neurology, Johannes Gutenberg University, Mainz, Germany
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179
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An event-related potential investigation of the acute effects of aerobic and coordinative exercise on inhibitory control in children with ADHD. Dev Cogn Neurosci 2017; 28:21-28. [PMID: 29100212 PMCID: PMC6987879 DOI: 10.1016/j.dcn.2017.10.007] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 10/25/2017] [Accepted: 10/25/2017] [Indexed: 11/20/2022] Open
Abstract
The current body of evidence suggests that an aerobic exercise session has a beneficial effect on inhibitory control, whereas the impact of coordinative exercise on this executive function has not yet been examined in children with ADHD. Therefore, the present study aims to investigate the acute effects of aerobic and coordinative exercise on behavioral performance and the allocation of attentional resources in an inhibitory control task. Using a cross-over design, children with ADHD-combined type and healthy comparisons completed a Flanker task before and after 20min moderately-intense cycling exercise, coordinative exercise and an inactive control condition. During the task, stimulus-locked event-related potentials were recorded with electroencephalography. Both groups showed an increase of P300 amplitude and decrease of reaction time after exercise compared to the control condition. Investigating the effect of exercise modality, aerobic exercise led to greater increases of P300 amplitude and reductions in reaction time than coordinative exercise in children with ADHD. The findings suggest that a single exercise bout improves inhibitory control and the allocation of attentional resources. There were some indications that an aerobic exercise session seems to be more efficient than coordinative exercise in reducing the inhibitory control deficits that persist in children with ADHD.
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180
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Kassab A, Le Lan J, Tremblay J, Vannasing P, Dehbozorgi M, Pouliot P, Gallagher A, Lesage F, Sawan M, Nguyen DK. Multichannel wearable fNIRS-EEG system for long-term clinical monitoring. Hum Brain Mapp 2017; 39:7-23. [PMID: 29058341 DOI: 10.1002/hbm.23849] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Revised: 10/02/2017] [Accepted: 10/08/2017] [Indexed: 01/27/2023] Open
Abstract
Continuous brain imaging techniques can be beneficial for the monitoring of neurological pathologies (such as epilepsy or stroke) and neuroimaging protocols involving movement. Among existing ones, functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) have the advantage of being noninvasive, nonobstructive, inexpensive, yield portable solutions, and offer complementary monitoring of electrical and local hemodynamic activities. This article presents a novel system with 128 fNIRS channels and 32 EEG channels with the potential to cover a larger fraction of the adult superficial cortex than earlier works, is integrated with 32 EEG channels, is light and battery-powered to improve portability, and can transmit data wirelessly to an interface for real-time display of electrical and hemodynamic activities. A novel fNIRS-EEG stretchable cap, two analog channels for auxiliary data (e.g., electrocardiogram), eight digital triggers for event-related protocols and an internal accelerometer for movement artifacts removal contribute to improve data acquisition quality. The system can run continuously for 24 h. Following instrumentation validation and reliability on a solid phantom, performance was evaluated on (1) 12 healthy participants during either a visual (checkerboard) task at rest or while pedalling on a stationary bicycle or a cognitive (language) task and (2) 4 patients admitted either to the epilepsy (n = 3) or stroke (n = 1) units. Data analysis confirmed expected hemodynamic variations during validation recordings and useful clinical information during in-hospital testing. To the best of our knowledge, this is the first demonstration of a wearable wireless multichannel fNIRS-EEG monitoring system in patients with neurological conditions. Hum Brain Mapp 39:7-23, 2018. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Ali Kassab
- Research Center, Centre Hospitalier Universitaire de Montréal, Université de Montréal, Montréal, Québec, H2X 0A9, Canada
| | - Jérôme Le Lan
- Department of Electrical Engineering, École Polytechnique de Montréal, Montréal, Québec, H3T 1J4, Canada
| | - Julie Tremblay
- Research Center, Hôpital Sainte-Justine, Université de Montréal, Montréal, Québec, H3T 1C4, Canada
| | - Phetsamone Vannasing
- Research Center, Hôpital Sainte-Justine, Université de Montréal, Montréal, Québec, H3T 1C4, Canada
| | - Mahya Dehbozorgi
- Department of Electrical Engineering, École Polytechnique de Montréal, Montréal, Québec, H3T 1J4, Canada
| | - Philippe Pouliot
- Department of Electrical Engineering, École Polytechnique de Montréal, Montréal, Québec, H3T 1J4, Canada.,Research Center, Montreal Heart Institute, Montréal, Québec, H1T 1C8, Canada
| | - Anne Gallagher
- Research Center, Hôpital Sainte-Justine, Université de Montréal, Montréal, Québec, H3T 1C4, Canada
| | - Frédéric Lesage
- Department of Electrical Engineering, École Polytechnique de Montréal, Montréal, Québec, H3T 1J4, Canada
| | - Mohamad Sawan
- Department of Electrical Engineering, École Polytechnique de Montréal, Montréal, Québec, H3T 1J4, Canada
| | - Dang Khoa Nguyen
- Research Center, Centre Hospitalier Universitaire de Montréal, Université de Montréal, Montréal, Québec, H2X 0A9, Canada.,Department of Neurology, Hôpital Notre-Dame (Centre Hospitalier de l'Université de Montréal), Montréal, Québec, H2L 4M1, Canada
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181
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Jang SH, Yeo SS, Lee SH, Jin SH, Lee MY. Cortical activation pattern during shoulder simple versus vibration exercises: a functional near infrared spectroscopy study. Neural Regen Res 2017; 12:1294-1298. [PMID: 28966644 PMCID: PMC5607824 DOI: 10.4103/1673-5374.213549] [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] [Indexed: 11/13/2022] Open
Abstract
To date, the cortical effect of exercise has not been fully elucidated. Using the functional near infrared spectroscopy, we attempted to compare the cortical effect between shoulder vibration exercise and shoulder simple exercise. Eight healthy subjects were recruited for this study. Two different exercise tasks (shoulder vibration exercise using the flexible pole and shoulder simple exercise) were performed using a block paradigm. We measured the values of oxygenated hemoglobin in the four regions of interest: the primary sensory-motor cortex (SM1 total, arm somatotopy, and leg and trunk somatotopy), the premotor cortex, the supplementary motor area, and the prefrontal cortex. During shoulder vibration exercise and shoulder simple exercise, cortical activation was observed in SM1 (total, arm somatotopy, and leg and trunk somatotopy), premotor cortex, supplementary motor area, and prefrontal cortex. Higher oxygenated hemoglobin values were also observed in the areas of arm somatotopy of SM1 compared with those of other regions of interest. However, no significant difference in the arm somatotopy of SM1 was observed between the two exercises. By contrast, in the leg and trunk somatotopy of SM1, shoulder vibration exercise led to a significantly higher oxy-hemoglobin value than shoulder simple exercise. These two exercises may result in cortical activation effects for the motor areas relevant to the shoulder exercise, especially in the arm somatotopy of SM1. However, shoulder vibration exercise has an additional cortical activation effect for the leg and trunk somatotopy of SM1.
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Affiliation(s)
- Sung Ho Jang
- Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Daegu, Republic of Korea
| | - Sang Seok Yeo
- Department of Physical Therapy, College of Health Science, Dankook University, Cheonan-si, Republic of Korea
| | - Seung Hyun Lee
- Robot System Research Division, Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea
| | - Sang Hyun Jin
- Robot System Research Division, Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea
| | - Mi Young Lee
- Department of Physical Therapy, College of Health and Therapy, Daegu Haany University, Gyeongsan-si, Republic of Korea
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182
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Herold F, Wiegel P, Scholkmann F, Thiers A, Hamacher D, Schega L. Functional near-infrared spectroscopy in movement science: a systematic review on cortical activity in postural and walking tasks. NEUROPHOTONICS 2017; 4:041403. [PMID: 28924563 PMCID: PMC5538329 DOI: 10.1117/1.nph.4.4.041403] [Citation(s) in RCA: 169] [Impact Index Per Article: 24.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2017] [Accepted: 06/23/2017] [Indexed: 05/07/2023]
Abstract
Safe locomotion is a crucial aspect of human daily living that requires well-functioning motor control processes. The human neuromotor control of daily activities such as walking relies on the complex interaction of subcortical and cortical areas. Technical developments in neuroimaging systems allow the quantification of cortical activation during the execution of motor tasks. Functional near-infrared spectroscopy (fNIRS) seems to be a promising tool to monitor motor control processes in cortical areas in freely moving subjects. However, so far, there is no established standardized protocol regarding the application and data processing of fNIRS signals that limits the comparability among studies. Hence, this systematic review aimed to summarize the current knowledge about application and data processing in fNIRS studies dealing with walking or postural tasks. Fifty-six articles of an initial yield of 1420 publications were reviewed and information about methodology, data processing, and findings were extracted. Based on our results, we outline the recommendations with respect to the design and data processing of fNIRS studies. Future perspectives of measuring fNIRS signals in movement science are discussed.
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Affiliation(s)
- Fabian Herold
- Otto von Guericke University Magdeburg, Institute III, Department of Sport Science, Magdeburg, Germany
- Address all correspondence to: Fabian Herold, E-mail:
| | - Patrick Wiegel
- University of Freiburg, Department of Sport Science, Freiburg, Germany
| | - Felix Scholkmann
- University of Zurich, University Hospital Zurich, Department of Neonatology, Biomedical Optics Research Laboratory, Zurich, Switzerland
| | - Angelina Thiers
- Otto von Guericke University Magdeburg, Institute III, Department of Sport Science, Magdeburg, Germany
| | - Dennis Hamacher
- Otto von Guericke University Magdeburg, Institute III, Department of Sport Science, Magdeburg, Germany
| | - Lutz Schega
- Otto von Guericke University Magdeburg, Institute III, Department of Sport Science, Magdeburg, Germany
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183
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Bhat AN, Hoffman MD, Trost SL, Culotta ML, Eilbott J, Tsuzuki D, Pelphrey KA. Cortical Activation during Action Observation, Action Execution, and Interpersonal Synchrony in Adults: A functional Near-Infrared Spectroscopy (fNIRS) Study. Front Hum Neurosci 2017; 11:431. [PMID: 28928646 PMCID: PMC5591977 DOI: 10.3389/fnhum.2017.00431] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Accepted: 08/14/2017] [Indexed: 11/23/2022] Open
Abstract
Introduction: Humans engage in Interpersonal Synchrony (IPS) as they synchronize their own actions with that of a social partner over time. When humans engage in imitation/IPS behaviors, multiple regions in the frontal, temporal, and parietal cortices are activated including the putative Mirror Neuron Systems (Iacoboni, 2005; Buxbaum et al., 2014). In the present study, we compared fNIRS-based cortical activation patterns across three conditions of action observation (“Watch” partner), action execution (“Do” on your own), and IPS (move “Together”). Methods: Fifteen typically developing adults completed a reach and cleanup task with the right arm while cortical activation was examined using a 24-channel, Hitachi fNIRS system. Each adult completed 8 trials across three conditions (Watch, Do, and Together). For each fNIRS channel, we obtained oxy hemoglobin (HbO2) and deoxy hemoglobin (HHb) profiles. Spatial registration methods were applied to localize the cortical regions underneath each channel and to define six regions of interest (ROIs), right and left supero-anterior (SA or pre/post-central gyri), infero-posterior (IP or angular/supramarginal gyri), and infero-anterior (IA or superior/middle temporal gyri) regions. Results: In terms of task-related differences, the majority of the ROIs were more active during Do and Together compared to Watch. Only the right/ipsilateral fronto-parietal and inferior parietal cortices had greater activation during Together compared to Do. Conclusions: The similarities in cortical activation between action execution and IPS suggest that neural control of IPS is more similar to its execution than observational aspects. To be clear, the more complex the actions performed, the more difficult the IPS behaviors. Secondly, IPS behaviors required slightly more right-sided activation (vs. execution/observation) suggesting that IPS is a higher-order process involving more bilateral activation compared to its sub-components. These findings provide a neuroimaging framework to study imitation and IPS impairments in special populations such as infants at risk for and children with ASD.
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Affiliation(s)
- Anjana N Bhat
- Department of Physical Therapy, University of DelawareNewark, DE, United States.,Department of Psychological and Brain Sciences, University of DelawareNewark, DE, United States.,Biomechanics and Movement Science Program, University of DelawareNewark, DE, United States
| | - Michael D Hoffman
- Department of Physical Therapy, University of DelawareNewark, DE, United States
| | - Susanna L Trost
- Department of Physical Therapy, University of DelawareNewark, DE, United States
| | - McKenzie L Culotta
- Department of Physical Therapy, University of DelawareNewark, DE, United States
| | - Jeffrey Eilbott
- The George Washington Autism Institute, George Washington UniversityWashington, DC, United States
| | - Daisuke Tsuzuki
- Department of Language Sciences, Tokyo Metropolitan UniversityTokyo, Japan
| | - Kevin A Pelphrey
- The George Washington Autism Institute, George Washington UniversityWashington, DC, United States
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184
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Agbangla NF, Audiffren M, Albinet CT. Use of near-infrared spectroscopy in the investigation of brain activation during cognitive aging: A systematic review of an emerging area of research. Ageing Res Rev 2017; 38:52-66. [PMID: 28755870 DOI: 10.1016/j.arr.2017.07.003] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 07/18/2017] [Accepted: 07/19/2017] [Indexed: 01/24/2023]
Abstract
The cognitive neuroscience of aging is a growing and stimulating research area. The development of neuroimaging techniques in the past two decades has considerably increased our understanding of the brain mechanisms that might underlie cognitive performance and resulting changes due to normal aging. Beside traditional metabolic neuroimaging techniques, such as Positron Emission Tomography and functional Magnetic Resonance Imaging, near infrared spectroscopy (NIRS), an optical imaging technique allowing to monitor real-time cerebral blood oxygenation, has gained recent interest in this field. The aim of the present review paper, after briefly presenting the NIRS technique, is to review and to summarize the recent results of neuroimaging studies using this technique in the field of cognitive aging. The reviewed literature shows that, despite low spatial resolution and cerebral depth penetration, this technique provides consistent findings on the reduced hemodynamic activity as a function of chronological age, mainly in the prefrontal cortex. Important moderators of brain hemodynamics, such as cognitive load, subjects' characteristics and experimental conditions, for which the NIRS technique is sensitive, are discussed. Strengths and weaknesses of functional NIRS in the field of cognitive aging are presented and finally, novel perspectives of research are proposed.
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185
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Nemani A, Ahn W, Cooper C, Schwaitzberg S, De S. Convergent validation and transfer of learning studies of a virtual reality-based pattern cutting simulator. Surg Endosc 2017; 32:1265-1272. [PMID: 28812196 DOI: 10.1007/s00464-017-5802-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Accepted: 07/28/2017] [Indexed: 12/20/2022]
Abstract
INTRODUCTION Research has clearly shown the benefits of surgical simulators to train laparoscopic motor skills required for positive patient outcomes. We have developed the Virtual Basic Laparoscopic Skill Trainer (VBLaST) that simulates tasks from the Fundamentals of Laparoscopic Surgery (FLS) curriculum. This study aims to show convergent validity of the VBLaST pattern cutting module via the CUSUM method to quantify learning curves along with motor skill transfer from simulation environments to ex vivo tissue samples. METHODS 18 medical students at the University at Buffalo, with no prior laparoscopic surgical skills, were placed into the control, FLS training, or VBLaST training groups. Each training group performed pattern cutting trials for 12 consecutive days on their respective simulation trainers. Following a 2-week break period, the trained students performed three pattern cutting trials on each simulation platform to measure skill retention. All subjects then performed one pattern cutting task on ex vivo cadaveric peritoneal tissue. FLS and VBLaST pattern cutting scores, CUSUM scores, and transfer task completion times were reported. RESULTS Results indicate that the FLS and VBLaST trained groups have significantly higher task performance scores than the control group in both the VBLaST and FLS environments (p < 0.05). Learning curve results indicate that three out of seven FLS training subjects and four out of six VBLaST training subjects achieved the "senior" performance level. Furthermore, both the FLS and VBLaST trained groups had significantly lower transfer task completion times on ex vivo peritoneal tissue models (p < 0.05). CONCLUSION We characterized task performance scores for trained VBLaST and FLS subjects via CUSUM analysis of the learning curves and showed evidence that both groups have significant improvements in surgical motor skill. Furthermore, we showed that learned surgical skills in the FLS and VBLaST environments transfer not only to the different simulation environments, but also to ex vivo tissue models.
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Affiliation(s)
- Arun Nemani
- Rensselaer Polytechnic Institute, 110, 8th Street, Troy, NY, 12180, USA
| | - Woojin Ahn
- Rensselaer Polytechnic Institute, 110, 8th Street, Troy, NY, 12180, USA
| | - Clairice Cooper
- University at Buffalo School of Medicine and Biomedical Sciences, Buffalo, NY, USA
| | - Steven Schwaitzberg
- University at Buffalo School of Medicine and Biomedical Sciences, Buffalo, NY, USA
| | - Suvranu De
- Rensselaer Polytechnic Institute, 110, 8th Street, Troy, NY, 12180, USA.
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186
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Bae SJ, Jang SH, Seo JP, Chang PH. A pilot study on the optimal speeds for passive wrist movements by a rehabilitation robot of stroke patients: A functional NIRS study. IEEE Int Conf Rehabil Robot 2017; 2017:7-12. [PMID: 28813785 DOI: 10.1109/icorr.2017.8009213] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The optimal conditions inducing proper brain activation during performance of rehabilitation robots should be examined to enhance the efficiency of robot rehabilitation based on the concept of brain plasticity. In this study, we attempted to investigate differences in cortical activation according to the speeds of passive wrist movements performed by a rehabilitation robot for stroke patients. 9 stroke patients with right hemiparesis participated in this study. Passive movements of the affected wrist were performed by the rehabilitation robot at three different speeds: 0.25 Hz; slow, 0.5Hz; moderate and 0.75 Hz; fast. We used functional near-infrared spectroscopy to measure the brain activity during the passive movements performed by a robot. Group-average activation map and the relative changes in oxy-hemoglobin (ΔOxyHb) in two regions of interest: the primary sensory-motor cortex (SM1); premotor area (PMA) and region of all channels were measured. In the result of group-averaged activation map, the contralateral SM1, PMA and somatosensory association cortex (SAC) showed the greatest significant activation according to the movements at 0.75 Hz, while there is no significantly activated area at 0.5 Hz. Regarding ΔOxyHb, no significant diiference was observed among three speeds regardless of region. In conclusion, the contralateral SM1, PMA and SAC showed the greatest activation by a fast speed (0.75 Hz) rather than slow (0.25 Hz) and moderate (0. 5 Hz) speed. Our results suggest an optimal speed for execution of the wrist rehabilitation robot. Therefore, we believe that our findings might point to several promising applications for future research regarding useful and empirically-based robot rehabilitation therapy.
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187
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Wriessnegger SC, Kirchmeyr D, Bauernfeind G, Müller-Putz GR. Force related hemodynamic responses during execution and imagery of a hand grip task: A functional near infrared spectroscopy study. Brain Cogn 2017; 117:108-116. [PMID: 28673464 DOI: 10.1016/j.bandc.2017.06.010] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Revised: 06/22/2017] [Accepted: 06/25/2017] [Indexed: 12/14/2022]
Abstract
We examined force related hemodynamic changes during the performance of a motor execution (ME) and motor imagery (MI) task by means of multichannel functional near infrared spectroscopy (fNIRS). The hemodynamic responses of fourteen healthy participants were measured while they performed a hand grip execution or imagery task with low and high grip forces. We found an overall higher increase of [oxy-Hb] concentration changes during ME for both grip forces but with a delayed peak maximum for the lower grip force. During the MI task with lower grip force, the [oxy-Hb] level increases are stronger compared to the MI with higher grip force. The facilitation in performing MI with higher grip strength might thus indicate less inhibition of the actual motor act which could also explain the later increase onset of [oxy-Hb] in the ME task with the lower grip force. Our results suggest that execution and imagery of a hand grip task with high and low grip forces, leads to different cortical activation patterns. Since impaired control of grip forces during object manipulation in particular is one aspect of fine motor control deficits after stroke, our study will contribute to future rehabilitation programs enhancing patient's grip force control.
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Affiliation(s)
- Selina C Wriessnegger
- Institute of Neural Engineering, Graz University of Technology, Stremayrgasse 16/IV, 8010 Graz, Austria.
| | - Daniela Kirchmeyr
- Institute of Neural Engineering, Graz University of Technology, Stremayrgasse 16/IV, 8010 Graz, Austria
| | - Günther Bauernfeind
- Department of Otolaryngology, Hannover Medical School, Carl Neuberg Str. 1, 30625 Hannover, Germany; Cluster of Excellence "Hearing4all", Hannover, Germany
| | - Gernot R Müller-Putz
- Institute of Neural Engineering, Graz University of Technology, Stremayrgasse 16/IV, 8010 Graz, Austria
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188
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Zhang S, Zheng Y, Wang D, Wang L, Ma J, Zhang J, Xu W, Li D, Zhang D. Application of a common spatial pattern-based algorithm for an fNIRS-based motor imagery brain-computer interface. Neurosci Lett 2017; 655:35-40. [PMID: 28663052 DOI: 10.1016/j.neulet.2017.06.044] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Revised: 06/23/2017] [Accepted: 06/23/2017] [Indexed: 10/19/2022]
Abstract
Motor imagery is one of the most investigated paradigms in the field of brain-computer interfaces (BCIs). The present study explored the feasibility of applying a common spatial pattern (CSP)-based algorithm for a functional near-infrared spectroscopy (fNIRS)-based motor imagery BCI. Ten participants performed kinesthetic imagery of their left- and right-hand movements while 20-channel fNIRS signals were recorded over the motor cortex. The CSP method was implemented to obtain the spatial filters specific for both imagery tasks. The mean, slope, and variance of the CSP filtered signals were taken as features for BCI classification. Results showed that the CSP-based algorithm outperformed two representative channel-wise methods for classifying the two imagery statuses using either data from all channels or averaged data from imagery responsive channels only (oxygenated hemoglobin: CSP-based: 75.3±13.1%; all-channel: 52.3±5.3%; averaged: 64.8±13.2%; deoxygenated hemoglobin: CSP-based: 72.3±13.0%; all-channel: 48.8±8.2%; averaged: 63.3±13.3%). Furthermore, the effectiveness of the CSP method was also observed for the motor execution data to a lesser extent. A partial correlation analysis revealed significant independent contributions from all three types of features, including the often-ignored variance feature. To our knowledge, this is the first study demonstrating the effectiveness of the CSP method for fNIRS-based motor imagery BCIs.
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Affiliation(s)
- Shen Zhang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Yanchun Zheng
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Daifa Wang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Ling Wang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Jianai Ma
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Jing Zhang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Weihao Xu
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Deyu Li
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China; State Key Laboratory of Software Development Environment, Beihang University, Beijing, China; State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China.
| | - Dan Zhang
- Department of Psychology, School of Social Sciences, Tsinghua University, Beijing, China.
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189
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Balconi M, Cortesi L, Crivelli D. Motor planning and performance in transitive and intransitive gesture execution and imagination: Does EEG (RP) activity predict hemodynamic (fNIRS) response? Neurosci Lett 2017; 648:59-65. [DOI: 10.1016/j.neulet.2017.03.049] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Revised: 03/29/2017] [Accepted: 03/30/2017] [Indexed: 12/01/2022]
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190
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Montgomery C, Fisk JE, Roberts CA. Updating of working memory in ecstasy polydrug users: Findings from fNIRS. Hum Psychopharmacol 2017. [PMID: 28631348 DOI: 10.1002/hup.2609] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
AIMS/OBJECTIVES Cognitive deficits are now well documented in ecstasy (MDMA) users with type and relative demand of task emerging as important factors. The updating component of executive processes appears to be particularly affected. The study reported here used functional near infrared spectroscopy imaging to investigate changes in cortical haemodynamics during memory updating. METHOD Twenty ecstasy users and 20 non-users completed verbal and spatial memory updating tasks and brain blood oxygenation and deoxygenation change was measured using functional near infrared spectroscopy. RESULTS There was no interaction between group and difficulty on the updating tasks, though there was a significant main effect of difficulty on both tasks. The effects of group approached significance on the verbal updating task. There were significant differences in blood oxygenation and deoxygenation change at optodes centred over the right and left dorsolateral prefrontal cortex, with ecstasy users showing greater blood oxygenation than the other groups. DISCUSSION The lack of a behavioural difference on both tasks but presence of blood oxygenation and deoxygenation changes in letter updating provides support for the notion that ecstasy-polydrug users are investing more effort to achieve the same behavioural output. Total lifetime dose was high, and recency of use was significantly related to most changes, suggesting that heavy and recent use may be particularly detrimental.
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Affiliation(s)
- Catharine Montgomery
- School of Natural Sciences & Psychology, Liverpool John Moores University, Liverpool, UK
| | - John E Fisk
- School of Psychology, University of Central Lancashi
| | - Carl A Roberts
- Department of Psychological Sciences, University of Liverpool
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191
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Maidan I, Bernad-Elazari H, Giladi N, Hausdorff JM, Mirelman A. When is Higher Level Cognitive Control Needed for Locomotor Tasks Among Patients with Parkinson’s Disease? Brain Topogr 2017; 30:531-538. [DOI: 10.1007/s10548-017-0564-0] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2016] [Accepted: 04/19/2017] [Indexed: 02/02/2023]
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192
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Bae SJ, Jang SH, Seo JP, Chang PH. The Optimal Speed for Cortical Activation of Passive Wrist Movements Performed by a Rehabilitation Robot: A Functional NIRS Study. Front Hum Neurosci 2017; 11:194. [PMID: 28473763 PMCID: PMC5398011 DOI: 10.3389/fnhum.2017.00194] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Accepted: 04/03/2017] [Indexed: 11/13/2022] Open
Abstract
Objectives: To advance development of rehabilitation robots, the conditions to induce appropriate brain activation during rehabilitation performed by robots should be optimized, based on the concept of brain plasticity. In this study, we examined differences in cortical activation according to the speed of passive wrist movements performed by a rehabilitation robot. Methods: Twenty three normal subjects participated in this study. Passive movements of the right wrist were performed by the wrist rehabilitation robot at three different speeds: 0.25 Hz; slow, 0.5 Hz; moderate and 0.75 Hz; fast. We used functional near-infrared spectroscopy to measure the brain activity accompanying the passive movements performed by a robot. The relative changes in oxy-hemoglobin (HbO) were measured in two regions of interest (ROI): the primary sensory-motor cortex (SM1) and premotor area (PMA). Results: In the left SM1 the HbO value was significantly higher at 0.5 Hz, compared with movements performed at 0.25 Hz and 0.75 Hz (p < 0.05), while no significant differences were observed in the left PMA (p > 0.05). In the group analysis, the left SM1 was activated during passive movements at three speeds (uncorrected p < 0.05) and the greatest activation in the SM1 was observed at 0.5 Hz. Conclusions: In conclusion, the contralateral SM1 showed the greatest activation by a moderate speed (0.5 Hz) rather than slow (0.25 Hz) and fast (0.75 Hz) speed. Our results suggest an ideal speed for execution of the wrist rehabilitation robot. Therefore, our results might provide useful data for more effective and empirically-based robot rehabilitation therapy.
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Affiliation(s)
- Sung Jin Bae
- Department of Robotics Engineering, Graduate School, Daegu Gyeongbuk Institute of Science and Technology (DGIST)Daegu, South Korea
| | - Sung Ho Jang
- Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam UniversityDaegu, South Korea
| | - Jeong Pyo Seo
- Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam UniversityDaegu, South Korea
| | - Pyung Hun Chang
- Department of Robotics Engineering, Graduate School, Daegu Gyeongbuk Institute of Science and Technology (DGIST)Daegu, South Korea
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193
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Abtahi M, Amiri AM, Byrd D, Mankodiya K. Hand Motion Detection in fNIRS Neuroimaging Data. Healthcare (Basel) 2017; 5:healthcare5020020. [PMID: 28420129 PMCID: PMC5492023 DOI: 10.3390/healthcare5020020] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 04/07/2017] [Accepted: 04/11/2017] [Indexed: 11/16/2022] Open
Abstract
As the number of people diagnosed with movement disorders is increasing, it becomes vital to design techniques that allow the better understanding of human brain in naturalistic settings. There are many brain imaging methods such as fMRI, SPECT, and MEG that provide the functional information of the brain. However, these techniques have some limitations including immobility, cost, and motion artifacts. One of the most emerging portable brain scanners available today is functional near-infrared spectroscopy (fNIRS). In this study, we have conducted fNIRS neuroimaging of seven healthy subjects while they were performing wrist tasks such as flipping their hand with the periods of rest (no movement). Different models of support vector machine is applied to these fNIRS neuroimaging data and the results show that we could classify the action and rest periods with the accuracy of over 80% for the fNIRS data of individual participants. Our results are promising and suggest that the presented classification method for fNIRS could further be applied to real-time applications such as brain computer interfacing (BCI), and into the future steps of this research to record brain activity from fNIRS and EEG, and fuse them with the body motion sensors to correlate the activities.
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Affiliation(s)
- Mohammadreza Abtahi
- Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA.
| | - Amir Mohammad Amiri
- Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA.
- Department of Physical Therapy, College of Public Health, Temple University, Philadelphia, PA 19140, USA.
| | - Dennis Byrd
- Interdisciplinary Neuroscience Program, University of Rhode Island, Kingston, RI 02881, USA.
| | - Kunal Mankodiya
- Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA.
- Interdisciplinary Neuroscience Program, University of Rhode Island, Kingston, RI 02881, USA.
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194
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Chen M, Blumen HM, Izzetoglu M, Holtzer R. Spatial Coregistration of Functional Near-Infrared Spectroscopy to Brain MRI. J Neuroimaging 2017; 27:453-460. [PMID: 28266747 DOI: 10.1111/jon.12432] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Revised: 12/29/2016] [Accepted: 01/23/2017] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND AND PURPOSE Traditional neuroimaging techniques restrict movement and make it difficult to study the processes that require oral, upper limb, or lower limb motor execution. Functional near-infrared spectroscopy (fNIRS) is an optical neuroimaging modality that measures brain oxygenation and permits movement during data acquisition. A key limitation of fNIRS, however, is the lack of a standard method to coregister quantitative fNIRS measurements to structural images such as magnetic resonance imaging (MRI). Additionally, fNIRS-MRI coregistration studies have not been reported in older adults. METHODS fNIRS and structural MRI were acquired from 30 nondemented older adults. Sixteen fNIRS channels that assess hemodynamic changes in the prefrontal cortex (PFC; an area crucial in various age-related processes) were coregistered to structural MRI. Vitamin E capsules were used to mark the locations of fNIRS detectors and light sources on the scalp. We used the balloon-inflation algorithm to project fNIRS channel locations on the scalp to underlying cortical surface. RESULTS We provide coordinates for the 16 fNIRS channels in the PFC on the cortical surface in both MNI and Talairach spaces, with minimal variability that is within the spatial resolution of our fNIRS system. CONCLUSIONS Our study provides useful spatial information for stand-alone fNIRS data in future studies, particularly investigations in age-related processes.
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Affiliation(s)
- Michelle Chen
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY
| | - Helena M Blumen
- Albert Einstein College of Medicine, Yeshiva University, Bronx, NY
| | - Meltem Izzetoglu
- School of Biomedical Engineering, Science; and Health Systems, Drexel University, Philadelphia, PA
| | - Roee Holtzer
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY.,Albert Einstein College of Medicine, Yeshiva University, Bronx, NY
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195
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Nambu I, Ozawa T, Sato T, Aihara T, Fujiwara Y, Otaka Y, Osu R, Izawa J, Wada Y. Transient increase in systemic interferences in the superficial layer and its influence on event-related motor tasks: a functional near-infrared spectroscopy study. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:35008. [PMID: 28294282 DOI: 10.1117/1.jbo.22.3.035008] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Accepted: 02/24/2017] [Indexed: 05/07/2023]
Abstract
Functional near-infrared spectroscopy (fNIRS) is a widely utilized neuroimaging tool in fundamental neuroscience research and clinical investigation. Previous research has revealed that task-evoked systemic artifacts mainly originating from the superficial-tissue may preclude the identification of cerebral activation during a given task. We examined the influence of such artifacts on event-related brain activity during a brisk squeezing movement. We estimated task-evoked superficial-tissue hemodynamics from short source–detector distance channels (15 mm) by applying principal component analysis. The estimated superficial-tissue hemodynamics exhibited temporal profiles similar to the canonical cerebral hemodynamic model. Importantly, this task-evoked profile was also observed in data from a block design motor experiment, suggesting a transient increase in superficial-tissue hemodynamics occurs following motor behavior, irrespective of task design. We also confirmed that estimation of event-related cerebral hemodynamics was improved by a simple superficial-tissue hemodynamic artifact removal process using 15-mm short distance channels, compared to the results when no artifact removal was applied. Thus, our results elucidate task design-independent characteristics of superficial-tissue hemodynamics and highlight the need for the application of superficial-tissue hemodynamic artifact removal methods when analyzing fNIRS data obtained during event-related motor tasks.
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Affiliation(s)
- Isao Nambu
- Nagaoka University of Technology, Graduate School of Engineering, Nagaoka, Japan
| | - Takuya Ozawa
- Nagaoka University of Technology, Graduate School of Engineering, Nagaoka, JapanbATR Brain Information Communication Research Lab Group, Keihanna-Science City, Kyoto, Japan
| | - Takanori Sato
- Nagaoka University of Technology, Graduate School of Engineering, Nagaoka, Japan
| | - Takatsugu Aihara
- ATR Brain Information Communication Research Lab Group, Keihanna-Science City, Kyoto, Japan
| | - Yusuke Fujiwara
- ATR Brain Information Communication Research Lab Group, Keihanna-Science City, Kyoto, Japan
| | - Yohei Otaka
- ATR Brain Information Communication Research Lab Group, Keihanna-Science City, Kyoto, JapancTokyo Bay Rehabilitation Hospital, Narashino, Chiba, JapandKeio University School of Medicine, Department of Rehabilitation Medicine, Shinjuku-ku, Tokyo, Japan
| | - Rieko Osu
- ATR Brain Information Communication Research Lab Group, Keihanna-Science City, Kyoto, Japan
| | - Jun Izawa
- ATR Brain Information Communication Research Lab Group, Keihanna-Science City, Kyoto, JapaneUniversity of Tsukuba, Faculty of Engineering, Information and System, Tsukuba, Ibaraki, Japan
| | - Yasuhiro Wada
- Nagaoka University of Technology, Graduate School of Engineering, Nagaoka, Japan
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196
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Jang SH, Seo JP, Lee SH, Jin SH, Yeo SS. The cortical activation pattern during bilateral arm raising movements. Neural Regen Res 2017; 12:317-320. [PMID: 28400816 PMCID: PMC5361518 DOI: 10.4103/1673-5374.200817] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Bilateral arm raising movements have been used in brain rehabilitation for a long time. However, no study has been reported on the effect of these movements on the cerebral cortex. In this study, using functional near infrared spectroscopy (fNIRS), we attempted to investigate cortical activation generated during bilateral arm raising movements. Ten normal subjects were recruited for this study. fNIRS was performed using an fNIRS system with 49 channels. Bilateral arm raising movements were performed in sitting position at the rate of 0.5 Hz. We measured values of oxyhemoglobin and total hemoglobin in five regions of interest: the primary sensorimotor cortex, premotor cortex, supplementary motor area, prefrontal cortex, and posterior parietal cortex. During performance of bilateral arm raising movements, oxyhemoglobin and total hemoglobin values in the primary sensorimotor cortex, premotor cortex, supplementary motor area, and prefrontal cortex were similar, but higher in these regions than those in the prefrontal cortex. We observed activation of the arm somatotopic areas of the primary sensorimotor cortex and premotor cortex in both hemispheres during bilateral arm raising movements. According to this result, bilateral arm raising movements appeared to induce large-scale neuronal activation and therefore arm raising movements would be good exercise for recovery of brain functions.
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Affiliation(s)
- Sung Ho Jang
- Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Daegu, Republic of Korea
| | - Jung Pyo Seo
- Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Daegu, Republic of Korea
| | - Seung-Hyun Lee
- Robot System Research Division, Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea
| | - Sang-Hyun Jin
- Robot System Research Division, Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea
| | - Sang Seok Yeo
- Department of Physical Therapy, College of Health Sciences, Dankook University, Cheonan-si, Chungnam, Republic of Korea
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197
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Cortical activation during balancing on a balance board. Hum Mov Sci 2017; 51:51-58. [DOI: 10.1016/j.humov.2016.11.002] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2016] [Revised: 07/26/2016] [Accepted: 11/07/2016] [Indexed: 01/28/2023]
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198
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Saita K, Morishita T, Hyakutake K, Fukuda H, Shiota E, Sankai Y, Inoue T. Combined therapy using botulinum toxin A and single-joint hybrid assistive limb for upper-limb disability due to spastic hemiplegia. J Neurol Sci 2016; 373:182-187. [PMID: 28131185 DOI: 10.1016/j.jns.2016.12.056] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Revised: 12/08/2016] [Accepted: 12/26/2016] [Indexed: 11/28/2022]
Abstract
We investigated the combination of robot-assisted rehabilitation (RT) using a single-joint hybrid assistive limb (HAL-SJ) and botulinum toxin A (BTX-A) as therapy for paretic arm with spasticity in post-stroke patients. Participants were seven patients (4 females, 3 males; mean (±SD) age: 60.6±8.4years) who had spastic hemiplegia following chronic stroke. On the day following BTX-A injection, we started RT, which was performed for 20 sessions of 60min each over a two-week period. Clinical outcome measures, including Fugl-Meyer Assessment (FMA), Motor Activity Log (MAL), and Disability Assessment Scale (DAS), and cortical activity were evaluated at baseline, and two weeks, and four months following BTX-A injection. Cortical activity associated with elbow joint movement of the affected arm was assessed via functional near infrared spectroscopy (fNIRS). FMA, MAL, and DAS scores significantly improved at two weeks and four months (p<0.05), except DAS scores at four months (p=0.068). The fNIRS study showed that cortical activation increased in the ipsilesional primary sensorimotor area at two weeks and at the four months follow-up. Our pilot study showed that the combination of RT and BTX-A therapy was an effective approach for treating spastic hemiplegia due to stroke, and functional imaging study showed neuroplasticity induced by the treatment.
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Affiliation(s)
- Kazuya Saita
- Department of Neurosurgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan; Department of Rehabilitation Medicine, Fukuoka University Hospital, Fukuoka, Japan
| | - Takashi Morishita
- Department of Neurosurgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan.
| | - Koichi Hyakutake
- Department of Rehabilitation Medicine, Fukuoka University Hospital, Fukuoka, Japan
| | - Hiroyuki Fukuda
- Department of Neurosurgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan; Department of Rehabilitation Medicine, Fukuoka University Hospital, Fukuoka, Japan
| | - Etsuji Shiota
- Department of Rehabilitation Medicine, Fukuoka University Hospital, Fukuoka, Japan
| | - Yoshiyuki Sankai
- Graduate School of Systems and Information Engineering, Center for Cybernics Research, Tsukuba University, Ibaraki, Japan
| | - Tooru Inoue
- Department of Neurosurgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan
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199
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Analyzing Brain Functions by Subject Classification of Functional Near-Infrared Spectroscopy Data Using Convolutional Neural Networks Analysis. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2016; 2016:1841945. [PMID: 27872636 PMCID: PMC5107881 DOI: 10.1155/2016/1841945] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Accepted: 10/11/2016] [Indexed: 11/17/2022]
Abstract
Functional near-infrared spectroscopy (fNIRS) is suitable for noninvasive mapping of relative changes in regional cortical activity but is limited for quantitative comparisons among cortical sites, subjects, and populations. We have developed a convolutional neural network (CNN) analysis method that learns feature vectors for accurate identification of group differences in fNIRS responses. In this study, subject gender was classified using CNN analysis of fNIRS data. fNIRS data were acquired from male and female subjects during a visual number memory task performed in a white noise environment because previous studies had revealed that the pattern of cortical blood flow during the task differed between males and females. A learned classifier accurately distinguished males from females based on distinct fNIRS signals from regions of interest (ROI) including the inferior frontal gyrus and premotor areas that were identified by the learning algorithm. These cortical regions are associated with memory storage, attention, and task motor response. The accuracy of the classifier suggests stable gender-based differences in cerebral blood flow during this task. The proposed CNN analysis method can objectively identify ROIs using fNIRS time series data for machine learning to distinguish features between groups.
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200
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Fraser SA, Dupuy O, Pouliot P, Lesage F, Bherer L. Comparable Cerebral Oxygenation Patterns in Younger and Older Adults during Dual-Task Walking with Increasing Load. Front Aging Neurosci 2016; 8:240. [PMID: 27812334 PMCID: PMC5071361 DOI: 10.3389/fnagi.2016.00240] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Accepted: 09/29/2016] [Indexed: 11/13/2022] Open
Abstract
The neuroimaging literature on dual-task gait clearly demonstrates increased prefrontal cortex (PFC) involvement when performing a cognitive task while walking. However, findings from direct comparisons of the cerebral oxygenation patterns of younger (YA) and older (OA) adults during dual-task walking are mixed and it is unclear how YA and OA respond to increasing cognitive load (difficulty) while walking. This functional near infra-red (fNIRS) study examined cerebral oxygenation of YA and OA during self-paced dual-task treadmill walking at two different levels of cognitive load (auditory n-back). Changes in accuracy (%) as well as oxygenated (HbO) and deoxygenated (HbR) hemoglobin were examined. For the HbO and HbR measures, eight regions of interest (ROIs) were assessed: the anterior and posterior dorsolateral and ventrolateral PFC (aDLPFC, pDLPFC, aVLPFC, pVLPFC) in each hemisphere. Nineteen YA (M = 21.83 years) and 14 OA (M = 66.85 years) walked at a self-selected pace while performing auditory 1-back and 2-back tasks. Walking alone (single motor: SM) and performing the cognitive tasks alone (single cognitive: SC) were compared to dual-task walking (DT = SM + SC). In the behavioural data, participants were more accurate in the lowest level of load (1-back) compared to the highest (2-back; p < 0.001). YA were more accurate than OA overall (p = 0.009), and particularly in the 2-back task (p = 0.048). In the fNIRS data, both younger and older adults had task effects (SM < DT) in specific ROIs for ΔHbO (three YA, one OA) and ΔHbR (seven YA, eight OA). After controlling for walk speed differences, direct comparisons between YA and OA did not reveal significant age differences, but did reveal a difficulty effect in HbO in the left aDLPFC (p = 0.028) and significant task effects (SM < DT) in HbR for six of the eight ROIs. Findings suggest that YA and OA respond similarly to manipulations of cognitive load when walking on a treadmill at a self-selected pace.
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Affiliation(s)
- Sarah A Fraser
- Interdisciplinary School of Health Sciences, University of Ottawa Ottawa, ON, Canada
| | - Olivier Dupuy
- Laboratory MOVE (EA6314), Faculty of Sport Sciences, University of Poitiers Poitiers, France
| | - Philippe Pouliot
- Département de Génie Électrique, École Polytechnique de Montréal, Montréal QC, Canada
| | - Frédéric Lesage
- Département de Génie Électrique, École Polytechnique de Montréal, Montréal QC, Canada
| | - Louis Bherer
- PERFORM Centre, Concordia UniversityMontréal, QC, Canada; Department of Medicine, Institutde Cardiologie de Montréal and University of Montréal, MontrealQC, Canada
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