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Ozawa S. Application of Near-Infrared Spectroscopy for Evidence-Based Psychotherapy. Front Psychol 2021; 12:527335. [PMID: 34366946 PMCID: PMC8342759 DOI: 10.3389/fpsyg.2021.527335] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 06/23/2021] [Indexed: 11/13/2022] Open
Abstract
This perspective article discusses the importance of evidence-based psychotherapy and highlights the usefulness of near-infrared spectroscopy (NIRS) in assessing the effects of psychotherapeutic interventions as a future direction of clinical psychology. NIRS is a safe and non-invasive neuroimaging technique that can be implemented in a clinical setting to measure brain activity via a simple procedure. This article discusses the possible benefits and challenges of applying NIRS for this purpose, and the available methodology based on previous studies that used NIRS to evaluate psychotherapeutic effects. Furthermore, this perspective article suggests alternative methodologies that may be useful, namely, the single- and multi-session evaluations using immediate pre- and post-intervention measurements. These methods can be used to evaluate state changes in brain activity, which can be derived from a single session of psychotherapeutic interventions. This article provides a conceptual schema important in actualizing NIRS application for evidence-base psychotherapy.
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Affiliation(s)
- Sachiyo Ozawa
- UTokyo Center for Integrative Science of Human Behavior (CiSHuB), Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
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Yu Q, Cheval B, Becker B, Herold F, Chan CCH, Delevoye-Turrell YN, Guérin SMR, Loprinzi P, Mueller N, Zou L. Episodic Memory Encoding and Retrieval in Face-Name Paired Paradigm: An fNIRS Study. Brain Sci 2021; 11:brainsci11070951. [PMID: 34356185 PMCID: PMC8305286 DOI: 10.3390/brainsci11070951] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 06/28/2021] [Accepted: 07/09/2021] [Indexed: 11/22/2022] Open
Abstract
Background: Episodic memory (EM) is particularly sensitive to pathological conditions and aging. In a neurocognitive context, the paired-associate learning (PAL) paradigm, which requires participants to learn and recall associations between stimuli, has been used to measure EM. The present study aimed to explore whether functional near-infrared spectroscopy (fNIRS) can be employed to determine cortical activity underlying encoding and retrieval. Moreover, we examined whether and how different aspects of task (i.e., novelty, difficulty) affects those cortical activities. Methods: Twenty-two male college students (age: M = 20.55, SD = 1.62) underwent a face-name PAL paradigm under 40-channel fNIRS covering fronto-parietal and middle occipital regions. Results: A decreased activity during encoding in a broad network encompassing the bilateral frontal cortex (Brodmann areas 9, 11, 45, and 46) was observed during the encoding, while an increased activity in the left orbitofrontal cortex (Brodmann area 11) was observed during the retrieval. Increased HbO concentration in the superior parietal cortices and decreased HbO concentration in the inferior parietal cortices were observed during encoding while dominant activation of left PFC was found during retrieval only. Higher task difficulty was associated with greater neural activity in the bilateral prefrontal cortex and higher task novelty was associated with greater activation in occipital regions. Conclusion: Combining the PAL paradigm with fNIRS provided the means to differentiate neural activity characterising encoding and retrieval. Therefore, the fNIRS may have the potential to complete EM assessments in clinical settings.
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Affiliation(s)
- Qian Yu
- Exercise Psychophysiology Laboratory, Institute of KEEP Collaborative Innovation, School of Psychology, Shenzhen University, Shenzhen 518060, China;
| | - Boris Cheval
- Swiss Center for Affective Sciences, University of Geneva, 1205 Geneva, Switzerland;
- Laboratory for the Study of Emotion Elicitation and Expression (E3Lab), Department of Psychology, FPSE, University of Geneva, 1205 Geneva, Switzerland
| | - Benjamin Becker
- MOE Key Laboratory for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Xiyuan Ave 2006, Chengdu 611731, China;
| | - Fabian Herold
- Department of Neurology, Medical Faculty, Otto von Guericke University, Leipziger Street 44, 39120 Magdeburg, Germany; (F.H.); (N.M.)
- German Center for Neurodegenerative Diseases (DZNE), Research Group Neuroprotection, Leipziger Street 44, 39120 Magdeburg, Germany
| | - Chetwyn C. H. Chan
- Department of Psychology, The Education University of Hong Kong, Tai Po, Hong Kong, China;
| | - Yvonne N. Delevoye-Turrell
- UMR 9193-SCALab-Sciences Cognitives et Sciences Affectives, Université de Lille, F-59000 Lille, France; (Y.N.D.-T.); (S.M.R.G.)
| | - Ségolène M. R. Guérin
- UMR 9193-SCALab-Sciences Cognitives et Sciences Affectives, Université de Lille, F-59000 Lille, France; (Y.N.D.-T.); (S.M.R.G.)
| | - Paul Loprinzi
- Department of Health, Exercise Science, and Recreation Management, The University of Mississippi, Oxford, MS 38677, USA;
| | - Notger Mueller
- Department of Neurology, Medical Faculty, Otto von Guericke University, Leipziger Street 44, 39120 Magdeburg, Germany; (F.H.); (N.M.)
- German Center for Neurodegenerative Diseases (DZNE), Research Group Neuroprotection, Leipziger Street 44, 39120 Magdeburg, Germany
| | - Liye Zou
- Exercise Psychophysiology Laboratory, Institute of KEEP Collaborative Innovation, School of Psychology, Shenzhen University, Shenzhen 518060, China;
- Correspondence:
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M J, M Z, J K, S A K, H S, N G. Brain Functional Mechanisms in Attentional Processing Following Modified Conflict Stroop Task. J Biomed Phys Eng 2020; 10:493-506. [PMID: 32802797 PMCID: PMC7416090 DOI: 10.31661/jbpe.v0i0.2003-1084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 04/25/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND Cognitive control of brain regions can be determined by the tasks involving the cognitive control such as the color word Stroop task. Stroop task define the reduction in function in incongruent condition, which requires more attention and control of competitive responses. OBJECTIVE The purpose of this study was to evaluate the activity of brain using the Modified Conflict Stroop Task in Military Personnel. MATERIAL AND METHODS In this applied experimental study, to specify the activity of different regions of brain in response to conflict Persian color-word Stroop task, 20 healthy persons participated in this study. To evaluate selective attention, the traditional color-word Stroop Task Model was modified, and the Stroop test was designed in high- and low-threat zones. We used functional magnetic resonance imaging (fMRI) to evaluate the brain activation during the Stroop task performance. The color-word Stroop task consists of incongruent, congruent, and neutral conditions, and the subjects were requested to carefully choose the correct answer. RESULTS The mean response time was longer in incongruent condition (867.6±193.5ms) compared to congruent and neutral conditions. Analysis of neuroimaging data revealed that the brain conflict-related regions are activated by the Stroop interference. In incongruent trial, the superior frontal gyrus (SFG) and inferior frontal gyrus (IFG) showed the most active and stronger BOLD responses. In congruent trials, the activation in the brain was less and had difference compared with incongruent trials. CONCLUSION Our result offers that the frontal cortex and the anterior cingulate cortex are sensitive to different trials of Persian Stroop task. Using modified Stroop task, we determined the brain responses to the selective attention test.
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Affiliation(s)
- Jalalvandi M
- MSc, Department of Radiology, School of Medicine, AJA University of Medical Science, Tehran, Iran
| | - ZahediNiya M
- MD, Department of Radiology, School of Medicine, AJA University of Medical Science, Tehran, Iran
| | - Kargar J
- MD, Department of Radiology, School of Medicine, AJA University of Medical Science, Tehran, Iran
| | - Karimi S A
- PhD, Neurophysiology Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
- PhD, Department of Neuroscience, School of Science and Advanced Technologies in Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Sharini H
- PhD, Department of Biomedical Engineering, School of Medicine, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
- PhD, Health Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Goodarzi N
- PhD, Department of clinical phycology, School of Medicine, AJA University of Medical Science, Tehran, Iran
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Chang F, Li H, Zhang S, Chen C, Liu C, Cai W. Research progress of functional near-infrared spectroscopy in patients with psychiatric disorders. Forensic Sci Res 2020; 6:141-147. [PMID: 34377571 PMCID: PMC8330753 DOI: 10.1080/20961790.2020.1720901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Functional near-infrared spectroscopy (fNIRS) is a technique of detecting cerebral cortical function by using near-infrared light, which is a multifunctional neuroimaging technique and provides a convenient and efficient detection method in neuroscience. In consideration of acceptability, safety, high spatial and temporal resolutions compared with electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI), fNIRS is widely used to study different psychiatric disorders, most prominently affective disorders, schizophrenic illnesses, brain organic mental disorders and neurodevelopmental disorders, etc. The article focuses on the latest research progress and practical application of fNIRS in psychiatric disorders, especially traumatic brain, including studies on the characterization of phenomenology, treatment effects and descriptions of neuroimaging data.
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Affiliation(s)
- Fan Chang
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, China.,School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Haozhe Li
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, China
| | - Shengyu Zhang
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, China
| | - Chen Chen
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, China
| | - Chao Liu
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, China
| | - Weixiong Cai
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, China.,School of Mental Health, Wenzhou Medical University, Wenzhou, China
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Zhu Y, Jayagopal JK, Mehta RK, Erraguntla M, Nuamah J, McDonald AD, Taylor H, Chang SH. Classifying Major Depressive Disorder Using fNIRS During Motor Rehabilitation. IEEE Trans Neural Syst Rehabil Eng 2020; 28:961-969. [DOI: 10.1109/tnsre.2020.2972270] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Optics Based Label-Free Techniques and Applications in Brain Monitoring. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10062196] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Functional near-infrared spectroscopy (fNIRS) has been utilized already around three decades for monitoring the brain, in particular, oxygenation changes in the cerebral cortex. In addition, other optical techniques are currently developed for in vivo imaging and in the near future can be potentially used more in human brain research. This paper reviews the most common label-free optical technologies exploited in brain monitoring and their current and potential clinical applications. Label-free tissue monitoring techniques do not require the addition of dyes or molecular contrast agents. The following optical techniques are considered: fNIRS, diffuse correlations spectroscopy (DCS), photoacoustic imaging (PAI) and optical coherence tomography (OCT). Furthermore, wearable optical brain monitoring with the most common applications is discussed.
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Manelis A, Huppert TJ, Rodgers E, Swartz HA, Phillips ML. The role of the right prefrontal cortex in recognition of facial emotional expressions in depressed individuals: fNIRS study. J Affect Disord 2019; 258:151-158. [PMID: 31404763 PMCID: PMC6710146 DOI: 10.1016/j.jad.2019.08.006] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 04/05/2019] [Accepted: 08/04/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND Depressed individuals often perceive neutral facial expressions as emotional. Neurobiological underpinnings of this effect remain unclear. We investigated the differences in prefrontal cortical (PFC) activation in depressed individuals vs. healthy controls (HC) during recognition of emotional and neutral facial expressions using functional near infrared spectroscopy (fNIRS). METHOD In Experiment 1, 33 depressed individuals and 20 HC performed the Emotion Intensity Rating task in which they rated intensity of facial emotional expressions. In Experiment 2, a different set of participants (18 depressed individuals and 16 HC) performed the same task while their PFC activation was measured using fNIRS. RESULTS Both experiments showed that depressed individuals were slower and less accurate in recognizing neutral, but not happy or fearful, facial emotional expressions. Experiment 2 revealed that lower accuracy for neutral facial emotional expressions was associated with lower right PFC activation in depressed individuals, but not HC. In addition, depressed individuals, compared to HC, had lower right PFC activation during recognition of happy facial expressions. LIMITATIONS Relatively small sample size CONCLUSIONS: Recognition of neutral facial expressions is impaired in depressed individuals. Greater impairment corresponds to lower right PFC activation during neutral face processing. Recognition of happy facial expressions is comparable for depressed individuals and HC, but the former have significantly lower right PFC activation. Taken together, these findings suggest that the ability of depressed individuals to discriminate neutral and emotional signals in the environment may be affected by aberrant functioning of right PFC.
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Affiliation(s)
- Anna Manelis
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Theodore J Huppert
- Center for the Neural Basis of Cognition, Clinical Science Translational Institute, Departments of Radiology and Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Erin Rodgers
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Holly A Swartz
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mary L Phillips
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
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A Functional Near-Infrared Spectroscopy Study on the Cortical Haemodynamic Responses During the Maastricht Acute Stress Test. Sci Rep 2019; 9:13459. [PMID: 31530845 PMCID: PMC6748987 DOI: 10.1038/s41598-019-49826-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Accepted: 08/30/2019] [Indexed: 11/09/2022] Open
Abstract
In order to better understand stress responses, neuroimaging studies have investigated the underlying neural correlates of stress. Amongst other brain regions, they highlight the involvement of the prefrontal cortex. The aim of the present study was to explore haemodynamic changes in the prefrontal cortex during the Maastricht Acute Stress Test (MAST) using mobile functional Near-Infrared Spectroscopy (fNIRS), examining the stress response in an ecological environment. The MAST includes a challenging mental arithmic task and a physically stressful ice-water task. In a between-subject design, participants either performed the MAST or a non-stress control condition. FNIRS data were recorded throughout the test. Additionally, subjective stress ratings, heart rate and salivary cortisol were evaluated, confirming a successful stress induction. The fNIRS data indicated significantly increased neural activity of brain regions of the dorsolateral prefrontal cortex (dlPFC) and the orbitofrontal cortex (OFC) in response to the MAST, compared to the control condition. Furthermore, the mental arithmetic task indicated an increase in neural activity in brain regions of the dlPFC and OFC; whereas the physically stressful hand immersion task indicated a lateral decrease of neural activity in the left dlPFC. The study highlights the potential use of mobile fNIRS in clinical and applied (stress) research.
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Adorni R, Brugnera A, Gatti A, Tasca GA, Sakatani K, Compare A. Psychophysiological Responses to Stress Related to Anxiety in Healthy Aging. J PSYCHOPHYSIOL 2019. [DOI: 10.1027/0269-8803/a000221] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Abstract. The aim of the study was to explore the effects of situational stress and anxiety in a group of healthy elderly, both in terms of psychophysiological correlates and cognitive performance. Eighteen participants ( Mage = 70 ± 6.3; range 60–85) were assessed for anxiety and were instructed to perform a computerized math task, under both a stressful and a control condition, while near-infrared spectroscopy (NIRS) signal and electrocardiography (ECG) were recorded. NIRS results evidenced an increased activation of right PFC during the entire procedure, even if effect sizes between left and right channels were larger during the experimental condition. The amount of right activation during the stressful condition was positively correlated with anxiety. Response times (RTs) were slower in more anxious than in less anxious individuals, both during the control and stressful conditions. Accuracy was lower in more anxious than in less anxious individuals, only during the stressful condition. Moreover, heart rate (HR) was not modulated by situational stress, nor by anxiety. Overall, the present study suggests that in healthy elderly, anxiety level has a significant impact on cerebral responses, and both on the amount of cognitive resources and the quality of performance in stressful situations.
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Affiliation(s)
- Roberta Adorni
- Department of Human & Social Sciences, University of Bergamo, Italy
- Department of Engineering and Applied Sciences, University of Bergamo, Italy
| | | | - Alessia Gatti
- Department of Human & Social Sciences, University of Bergamo, Italy
- Human Factors and Technology in Healthcare, University of Bergamo, Italy
| | | | - Kaoru Sakatani
- NEWCAT Research Institute, Department of Electrical and Electronic Engineering, College of Engineering, Nihon University, Japan
| | - Angelo Compare
- Department of Human & Social Sciences, University of Bergamo, Italy
- Human Factors and Technology in Healthcare, University of Bergamo, Italy
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Yücel MA, Selb JJ, Huppert TJ, Franceschini MA, Boas DA. Functional Near Infrared Spectroscopy: Enabling Routine Functional Brain Imaging. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2017; 4:78-86. [PMID: 29457144 PMCID: PMC5810962 DOI: 10.1016/j.cobme.2017.09.011] [Citation(s) in RCA: 115] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Functional Near-Infrared Spectroscopy (fNIRS) maps human brain function by measuring and imaging local changes in hemoglobin concentrations in the brain that arise from the modulation of cerebral blood flow and oxygen metabolism by neural activity. Since its advent over 20 years ago, researchers have exploited and continuously advanced the ability of near infrared light to penetrate through the scalp and skull in order to non-invasively monitor changes in cerebral hemoglobin concentrations that reflect brain activity. We review recent advances in signal processing and hardware that significantly improve the capabilities of fNIRS by reducing the impact of confounding signals to improve statistical robustness of the brain signals and by enhancing the density, spatial coverage, and wearability of measuring devices respectively. We then summarize the application areas that are experiencing rapid growth as fNIRS begins to enable routine functional brain imaging.
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Affiliation(s)
- Meryem A. Yücel
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Juliette J. Selb
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Neurophotonics Center, Biomedical Engineering, Boston University, Boston, MA, USA
| | - Theodore J. Huppert
- Department of Radiology and Bioengineering, University of Pittsburg, Pittsburg, PA, USA
| | - Maria Angela Franceschini
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - David A. Boas
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Neurophotonics Center, Biomedical Engineering, Boston University, Boston, MA, USA
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Doi H, Shinohara K. fNIRS Studies on Hemispheric Asymmetry in Atypical Neural Function in Developmental Disorders. Front Hum Neurosci 2017; 11:137. [PMID: 28446869 PMCID: PMC5388750 DOI: 10.3389/fnhum.2017.00137] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Accepted: 03/09/2017] [Indexed: 11/13/2022] Open
Abstract
Functional lateralization is highly replicable trait of human neural system. Many previous studies have indicated the possibility that people with attention-deficits/hyperactivity-disorder (ADHD) and autism spectrum disorder (ASD) show hemispheric asymmetry in atypical neural function. However, despite the abundance of relevant studies, there is still ongoing controversy over this issue. In the present mini-review, we provide an overview of the hemispheric asymmetry in atypical neural function observed in fNIRS studies on people with these conditions. Atypical neural function is defined as group-difference in the task-related concentration change of oxygenated hemoglobin. The existing fNIRS studies give support to the right-lateralized atypicalty in children with ADHD. At the same time, we did not find clear leftward-lateralization in atypical activation in people with ASD. On the basis of these, we discuss the current states and limitation of the existing studies.
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Affiliation(s)
| | - Kazuyuki Shinohara
- Department of Neurobiology and Behavior, Graduate School of Biomedical Sciences, Nagasaki UniversityNagasaki, Japan
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