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Su WC, Colacot R, Ahmed N, Nguyen T, George T, Gandjbakhche A. The use of functional near-infrared spectroscopy in tracking neurodevelopmental trajectories in infants and children with or without developmental disorders: a systematic review. Front Psychiatry 2023; 14:1210000. [PMID: 37779610 PMCID: PMC10536152 DOI: 10.3389/fpsyt.2023.1210000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 08/24/2023] [Indexed: 10/03/2023] Open
Abstract
Understanding the neurodevelopmental trajectories of infants and children is essential for the early identification of neurodevelopmental disorders, elucidating the neural mechanisms underlying the disorders, and predicting developmental outcomes. Functional Near-Infrared Spectroscopy (fNIRS) is an infant-friendly neuroimaging tool that enables the monitoring of cerebral hemodynamic responses from the neonatal period. Due to its advantages, fNIRS is a promising tool for studying neurodevelopmental trajectories. Although many researchers have used fNIRS to study neural development in infants/children and have reported important findings, there is a lack of synthesized evidence for using fNIRS to track neurodevelopmental trajectories in infants and children. The current systematic review summarized 84 original fNIRS studies and showed a general trend of age-related increase in network integration and segregation, interhemispheric connectivity, leftward asymmetry, and differences in phase oscillation during resting-state. Moreover, typically developing infants and children showed a developmental trend of more localized and differentiated activation when processing visual, auditory, and tactile information, suggesting more mature and specialized sensory networks. Later in life, children switched from recruiting bilateral auditory to a left-lateralized language circuit when processing social auditory and language information and showed increased prefrontal activation during executive functioning tasks. The developmental trajectories are different in children with developmental disorders, with infants at risk for autism spectrum disorder showing initial overconnectivity followed by underconnectivity during resting-state; and children with attention-deficit/hyperactivity disorders showing lower prefrontal cortex activation during executive functioning tasks compared to their typically developing peers throughout childhood. The current systematic review supports the use of fNIRS in tracking the neurodevelopmental trajectories in children. More longitudinal studies are needed to validate the neurodevelopmental trajectories and explore the use of these neurobiomarkers for the early identification of developmental disorders and in tracking the effects of interventions.
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Affiliation(s)
| | | | | | | | | | - Amir Gandjbakhche
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD, United States
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Hakim U, Pinti P, Noah AJ, Zhang X, Burgess P, Hamilton A, Hirsch J, Tachtsidis I. Investigation of functional near-infrared spectroscopy signal quality and development of the hemodynamic phase correlation signal. NEUROPHOTONICS 2022; 9:025001. [PMID: 35599691 PMCID: PMC9116886 DOI: 10.1117/1.nph.9.2.025001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 04/13/2022] [Indexed: 06/15/2023]
Abstract
Significance: There is a longstanding recommendation within the field of fNIRS to use oxygenated (HbO 2 ) and deoxygenated (HHb) hemoglobin when analyzing and interpreting results. Despite this, many fNIRS studies do focus onHbO 2 only. Previous work has shown thatHbO 2 on its own is susceptible to systemic interference and results may mostly reflect that rather than functional activation. Studies using bothHbO 2 and HHb to draw their conclusions do so with varying methods and can lead to discrepancies between studies. The combination ofHbO 2 and HHb has been recommended as a method to utilize both signals in analysis. Aim: We present the development of the hemodynamic phase correlation (HPC) signal to combineHbO 2 and HHb as recommended to utilize both signals in the analysis. We use synthetic and experimental data to evaluate how the HPC and current signals used for fNIRS analysis compare. Approach: About 18 synthetic datasets were formed using resting-state fNIRS data acquired from 16 channels over the frontal lobe. To simulate fNIRS data for a block-design task, we superimposed a synthetic task-related hemodynamic response to the resting state data. This data was used to develop an HPC-general linear model (GLM) framework. Experiments were conducted to investigate the performance of each signal at different SNR and to investigate the effect of false positives on the data. Performance was based on each signal's mean T -value across channels. Experimental data recorded from 128 participants across 134 channels during a finger-tapping task were used to investigate the performance of multiple signals [HbO 2 , HHb, HbT, HbD, correlation-based signal improvement (CBSI), and HPC] on real data. Signal performance was evaluated on its ability to localize activation to a specific region of interest. Results: Results from varying the SNR show that the HPC signal has the highest performance for high SNRs. The CBSI performed the best for medium-low SNR. The next analysis evaluated how false positives affect the signals. The analyses evaluating the effect of false positives showed that the HPC and CBSI signals reflect the effect of false positives onHbO 2 and HHb. The analysis of real experimental data revealed that the HPC and HHb signals provide localization to the primary motor cortex with the highest accuracy. Conclusions: We developed a new hemodynamic signal (HPC) with the potential to overcome the current limitations of usingHbO 2 and HHb separately. Our results suggest that the HPC signal provides comparable accuracy to HHb to localize functional activation while at the same time being more robust against false positives.
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Affiliation(s)
- Uzair Hakim
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
| | - Paola Pinti
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
- University of London, Birkbeck College, Centre for Brain and Cognitive Development, London, United Kingdom
| | - Adam J. Noah
- Yale University, Department of Neuroscience and Comparative Medicine, Yale School of Medicine, United States
| | - Xian Zhang
- Yale University, Department of Neuroscience and Comparative Medicine, Yale School of Medicine, United States
| | - Paul Burgess
- University College London, Institute of Cognitive Neuroscience, London, United Kingdom
| | - Antonia Hamilton
- University College London, Institute of Cognitive Neuroscience, London, United Kingdom
| | - Joy Hirsch
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
- Yale University, Department of Neuroscience and Comparative Medicine, Yale School of Medicine, United States
| | - Ilias Tachtsidis
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
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Biondi M, Hirshkowitz A, Stotler J, Wilcox T. Cortical Activation to Social and Mechanical Stimuli in the Infant Brain. Front Syst Neurosci 2021; 15:510030. [PMID: 34248512 PMCID: PMC8264292 DOI: 10.3389/fnsys.2021.510030] [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: 11/04/2019] [Accepted: 06/01/2021] [Indexed: 11/13/2022] Open
Abstract
From the early days of life infants distinguish between social and non-social physical entities and have different expectations for the way these two entities should move and interact. At the same time, we know very little about the cortical systems that support this early emerging ability. The goal of the current research was to assess the extent to which infant's processing of social and non-social physical entities is mediated by distinct information processing systems in the temporal cortex. Using a cross-sectional design, infants aged 6-9 months (Experiment 1) and 11-18 months (Experiment 2) were presented with two types of events: social interaction and mechanical interaction. In the social interaction event (patterned after Hamlin et al., 2007), an entity with googly eyes, hair tufts, and an implied goal of moving up the hill was either helped up, or pushed down, a hill through the actions of another social entity. In the mechanical interaction event, the googly eyes and hair tufts were replaced with vertical black dots and a hook and clasp, and the objects moved up or down the hill via mechanical interactions. FNIRS was used to measure activation from temporal cortex while infants viewed the test events. In both age groups, viewing social and mechanical interaction events elicited different patterns of activation in the right temporal cortex, although responses were more specialized in the older age group. Activation was not obtained in these areas when the objects moved in synchrony without interacting, suggesting that the causal nature of the interaction events may be responsible, in part, to the results obtained. This is one of the few fNIRS studies that has investigated age-related patterns of cortical activation and the first to provide insight into the functional development of networks specialized for processing of social and non-social physical entities engaged in interaction events.
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Affiliation(s)
- Marisa Biondi
- Tobii Pro, College Station, TX, United States.,Department of Psychological & Brain Sciences, Texas A&M University, College Station, TX, United States
| | - Amy Hirshkowitz
- Department of Psychological & Brain Sciences, Texas A&M University, College Station, TX, United States.,Baylor College of Medicine, Houston, TX, United States
| | - Jacqueline Stotler
- Department of Psychology, Florida Atlantic University, Boca Raton, FL, United States
| | - Teresa Wilcox
- Department of Psychological & Brain Sciences, Texas A&M University, College Station, TX, United States.,Department of Psychology, Florida Atlantic University, Boca Raton, FL, United States
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Dou H, Lei Y, Cheng X, Wang J, Leppänen P. Social exclusion influences conditioned fear acquisition and generalization: A mediating effect from the medial prefrontal cortex. Neuroimage 2020; 218:116735. [PMID: 32251834 DOI: 10.1016/j.neuroimage.2020.116735] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Revised: 03/03/2020] [Accepted: 03/10/2020] [Indexed: 12/12/2022] Open
Abstract
Fear acquisition and generalization play key roles in promoting the survival of mammals and contribute to anxiety disorders. While previous research has provided much evidence for the repercussions of social exclusion on mental health, how social exclusion affects fear acquisition and generalization has received scant attention. In our study, participants were divided into two groups according to two Cyberball paradigm conditions (exclusion/inclusion). Both groups underwent a Pavlovian conditioning paradigm, functional near-infrared spectroscopy (fNIRS), and skin conductance response (SCR) assessments. We aimed to determine the effects of social exclusion on fear acquisition and generalization and whether modulation of the medial prefrontal cortex (mPFC) mediates this relationship. Our results showed that socially excluded participants featured significantly higher and lower shock risk scores to safety stimuli (conditioned stimulus, CS-) and threatening stimuli (CS+), respectively, than did socially included subjects during fear acquisition. The exclusion group had increased skin conductance responses (SCRs) to CS and exhibited heightened shock risk and increased SCRs to generalized stimuli compared with the inclusion group. The fNIRS results demonstrated that the CS + evoked larger oxy-Hb changes in the mPFC in the inclusion group than in the exclusion group during fear acquisition. Furthermore, the oxy-Hb of left mPFC of CS + mediated the effect on the association between social exclusion and perceived risk of CS+ in the fear acquisition. Our results indicate that social exclusion impairs fear acquisition and generalization via the mediation of the mPFC and that social exclusion increases susceptibility to anxiety disorders through bias processing of fear discrimination in fear acquisition and generalization. By studying the role of social relationship in fear acquisition and generalization, our research provides new insights into the pathological mechanisms of anxiety disorder.
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Affiliation(s)
- H Dou
- Institute for Brain and Psychological Sciences, Sichuan Normal University, 610068, China; College of Psychology and Society, University of Shenzhen, 518067, China; Department of Psychology, University of Jyväskylä, Jyväskylä, FI-40014, Finland
| | - Y Lei
- Institute for Brain and Psychological Sciences, Sichuan Normal University, 610068, China; College of Psychology and Society, University of Shenzhen, 518067, China; Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen, 518060, China; Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen, 518057, China.
| | - X Cheng
- College of Psychology and Society, University of Shenzhen, 518067, China
| | - J Wang
- College of Psychology and Society, University of Shenzhen, 518067, China; Department of Psychology, University of Jyväskylä, Jyväskylä, FI-40014, Finland
| | - Pht Leppänen
- Department of Psychology, University of Jyväskylä, Jyväskylä, FI-40014, Finland
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Blasi A, Lloyd-Fox S, Katus L, Elwell CE. fNIRS for Tracking Brain Development in the Context of Global Health Projects. PHOTONICS 2019; 6:89. [PMID: 33490142 PMCID: PMC7745110 DOI: 10.3390/photonics6030089] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 07/30/2019] [Indexed: 11/16/2022]
Abstract
Over the past 25 years, functional near-infrared spectroscopy (fNIRS) has emerged as a valuable tool to study brain function, and it is in younger participants where it has found, arguably, its most successful application. Thanks to its infant-friendly features, the technology has helped shape research in the neurocognitive development field by contributing to our understanding of the neural underpinnings of sensory perception and socio-cognitive skills. Furthermore, it has provided avenues of exploration for markers of compromised brain development. Advances in fNIRS instrumentation and methods have enabled the next step in the evolution of its applications including the investigation of the effects of complex and interacting socio-economic and environmental adversities on brain development. To do this, it is necessary to take fNIRS out of well-resourced research labs (the majority located in high-income countries) to study at-risk populations in resource-poor settings in low- and middle-income countries (LMICs). Here we review the use of this technology in global health studies, we discuss the implementation of fNIRS studies in LMICs with a particular emphasis on the Brain Imaging for Global Health (BRIGHT) project, and we consider its potential in this emerging field.
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Affiliation(s)
- Anna Blasi
- Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK
| | - Sarah Lloyd-Fox
- Centre for Brain and Cognitive Development, Birkbeck, University of London, London WC1E 7HX, UK
- Department of Psychology, University of Cambridge, Cambridge CB2 3EB, UK
| | - Laura Katus
- Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, UK
| | - Clare E. Elwell
- Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK
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Quadrelli E, Conte S, Macchi Cassia V, Turati C. Emotion in motion: Facial dynamics affect infants' neural processing of emotions. Dev Psychobiol 2019; 61:843-858. [DOI: 10.1002/dev.21860] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 02/27/2019] [Accepted: 03/17/2019] [Indexed: 01/14/2023]
Affiliation(s)
- Ermanno Quadrelli
- Department of Psychology University of Milano‐Bicocca Milano Italy
- NeuroMI, Milan Center for Neuroscience Milan Italy
| | - Stefania Conte
- Department of Psychology University of Milano‐Bicocca Milano Italy
- NeuroMI, Milan Center for Neuroscience Milan Italy
| | - Viola Macchi Cassia
- Department of Psychology University of Milano‐Bicocca Milano Italy
- NeuroMI, Milan Center for Neuroscience Milan Italy
| | - Chiara Turati
- Department of Psychology University of Milano‐Bicocca Milano Italy
- NeuroMI, Milan Center for Neuroscience Milan Italy
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Maria A, Shekhar S, Nissilä I, Kotilahti K, Huotilainen M, Karlsson L, Karlsson H, Tuulari JJ. Emotional Processing in the First 2 Years of Life: A Review of Near-Infrared Spectroscopy Studies. J Neuroimaging 2018; 28:441-454. [PMID: 29883005 PMCID: PMC6175097 DOI: 10.1111/jon.12529] [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: 04/24/2018] [Accepted: 05/21/2018] [Indexed: 12/16/2022] Open
Abstract
Emotional stimuli processing during childhood helps us to detect salient cues in our environment and prepares us for our social life. In early childhood, the emotional valences of auditory and visual input are salient and relevant cues of social aspects of the environment, and it is of special interest to understand how exactly the processing of emotional stimuli develops. Near‐infrared spectroscopy (NIRS) is a noninvasive neuroimaging tool that has proven valuable in studying emotional processing in children. After conducting a systematic search of PubMed, Web of Science, and Embase databases, we examined 50 NIRS studies performed to study emotional stimuli processing in children in the first 2 years of age. We found that the majority of these studies are done in infants and the most commonly used stimuli are visual and auditory. Many of the reviewed studies suggest the involvement of bilateral temporal areas in emotional processing of visual and auditory stimuli. It is unclear which neural activation patterns reflect maturation and at what age the emotional encoding reaches those typically seen in adults. Our review provides an overview of the database on emotional processing in children up to 2 years of age. Furthermore, it demonstrates the need to include the less‐studied age range of 1 to 2 years, and suggests the use of combined audio‐visual stimuli and longitudinal studies for future research on emotional processing in children. Thus, NIRS might be a vital tool to study the associations between the early pattern of neural responses and socioemotional development later in life.
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Affiliation(s)
- Ambika Maria
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, University of Turku, Turku, Finland.,Department of Psychiatry, Turku University Hospital and University of Turku, Turku, Finland
| | - Shashank Shekhar
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, University of Turku, Turku, Finland.,Department of Neurology, University of Mississippi Medical Center, Jackson, MS
| | - Ilkka Nissilä
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, University of Turku, Turku, Finland.,Department of Neuroscience and Biomedical Engineering, Aalto University, School of Science, Espoo, Finland
| | - Kalle Kotilahti
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, University of Turku, Turku, Finland.,Department of Neuroscience and Biomedical Engineering, Aalto University, School of Science, Espoo, Finland
| | - Minna Huotilainen
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, University of Turku, Turku, Finland.,Cognitive Brain Research Unit and Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, University of Turku, Turku, Finland.,Department of Child Psychiatry, Turku University Hospital and University of Turku, Turku, Finland
| | - Hasse Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, University of Turku, Turku, Finland.,Department of Psychiatry, Turku University Hospital and University of Turku, Turku, Finland
| | - Jetro J Tuulari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, University of Turku, Turku, Finland.,Department of Psychiatry, Turku University Hospital and University of Turku, Turku, Finland
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