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Grasso-Cladera A, Bremer M, Ladouce S, Parada F. A systematic review of mobile brain/body imaging studies using the P300 event-related potentials to investigate cognition beyond the laboratory. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2024:10.3758/s13415-024-01190-z. [PMID: 38834886 DOI: 10.3758/s13415-024-01190-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/15/2024] [Indexed: 06/06/2024]
Abstract
The P300 ERP component, related to the onset of task-relevant or infrequent stimuli, has been widely used in the Mobile Brain/Body Imaging (MoBI) literature. This systematic review evaluates the quality and breadth of P300 MoBI studies, revealing a maturing field with well-designed research yet grappling with standardization and global representation challenges. While affirming the reliability of measuring P300 ERP components in mobile settings, the review identifies significant hurdles in standardizing data cleaning and processing techniques, impacting comparability and reproducibility. Geographical disparities emerge, with studies predominantly in the Global North and a dearth of research from the Global South, emphasizing the need for broader inclusivity to counter the WEIRD bias in psychology. Collaborative projects and mobile EEG systems showcase the feasibility of reaching diverse populations, which is essential to advance precision psychiatry and to integrate varied data streams. Methodologically, a trend toward ecological validity is noted, shifting from lab-based to real-world settings with portable EEG system advancements. Future hardware developments are expected to balance signal quality and sensor intrusiveness, enriching data collection in everyday contexts. Innovative methodologies reflect a move toward more natural experimental settings, prompting critical questions about the applicability of traditional ERP markers, such as the P300 outside structured paradigms. The review concludes by highlighting the crucial role of integrating mobile technologies, physiological sensors, and machine learning to advance cognitive neuroscience. It advocates for an operational definition of ecological validity to bridge the gap between controlled experiments and the complexity of embodied cognitive experiences, enhancing both theoretical understanding and practical application in study design.
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Affiliation(s)
| | - Marko Bremer
- Facultad de Psicología, Centro de Estudios en Neurociencia Humana y Neuropsicología (CENHN), Diego Portales University, Santiago, Chile
- Facultad de Psicología, Programa de Magíster en Neurociencia Social, Diego Portales University, Santiago, Chile
| | - Simon Ladouce
- Department Brain and Cognition, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Francisco Parada
- Facultad de Psicología, Centro de Estudios en Neurociencia Humana y Neuropsicología (CENHN), Diego Portales University, Santiago, Chile.
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2
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Marder MA, Miller GA. The future of psychophysiology, then and now. Biol Psychol 2024; 189:108792. [PMID: 38588815 DOI: 10.1016/j.biopsycho.2024.108792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 03/30/2024] [Accepted: 04/02/2024] [Indexed: 04/10/2024]
Abstract
Since its founding in 1973, Biological Psychology has showcased and provided invaluable support to psychophysiology, a field that has grown and changed enormously. This article discusses some constancies that have remained fundamental to the journal and to the field as well as some important trends. Some aspects of our science have not received due consideration, affecting not only the generalizability of our findings but the way we develop and evaluate our research questions and the potential of our field to contribute to the common good. The article offers a number of predictions and recommendations for the next period of growth of psychophysiology.
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Affiliation(s)
| | - Gregory A Miller
- University of Illinois Urbana-Champaign, USA; University of California, Los Angeles, USA
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3
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Schneider JM, Behboudi MH, Maguire MJ. The Necessity of Taking Culture and Context into Account When Studying the Relationship between Socioeconomic Status and Brain Development. Brain Sci 2024; 14:392. [PMID: 38672041 PMCID: PMC11048655 DOI: 10.3390/brainsci14040392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 04/11/2024] [Accepted: 04/12/2024] [Indexed: 04/28/2024] Open
Abstract
Decades of research has revealed a relationship between childhood socioeconomic status (SES) and brain development at the structural and functional levels. Of particular note is the distinction between income and maternal education, two highly correlated factors which seem to influence brain development through distinct pathways. Specifically, while a families' income-to-needs ratio is linked with physiological stress and household chaos, caregiver education influences the day-to-day language environment a child is exposed to. Variability in either one of these environmental experiences is related to subsequent brain development. While this work has the potential to inform public policies in a way that benefits children, it can also oversimplify complex factors, unjustly blame low-SES parents, and perpetuate a harmful deficit perspective. To counteract these shortcomings, researchers must consider sociodemographic differences in the broader cultural context that underlie SES-based differences in brain development. This review aims to address these issues by (a) identifying how sociodemographic mechanisms associated with SES influence the day-to-day experiences of children, in turn, impacting brain development, while (b) considering the broader cultural contexts that may differentially impact this relationship.
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Affiliation(s)
- Julie M. Schneider
- Department of Communication Sciences and Disorders, Louisiana State University, 72 Hatcher Hall, Field House Drive, Baton Rouge, LA 70803, USA;
| | - Mohammad Hossein Behboudi
- Callier Center for Communication Disorders, The University of Texas at Dallas, 1966 Inwood Road, Dallas, TX 75235, USA;
| | - Mandy J. Maguire
- Callier Center for Communication Disorders, The University of Texas at Dallas, 1966 Inwood Road, Dallas, TX 75235, USA;
- Center for Children and Families, The University of Texas at Dallas, 800 W Campbell Road, Dallas, TX 75080, USA
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4
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Toth J, Kurtin DL, Brosnan M, Arvaneh M. Opportunities and obstacles in non-invasive brain stimulation. Front Hum Neurosci 2024; 18:1385427. [PMID: 38562225 PMCID: PMC10982339 DOI: 10.3389/fnhum.2024.1385427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 03/05/2024] [Indexed: 04/04/2024] Open
Abstract
Non-invasive brain stimulation (NIBS) is a complex and multifaceted approach to modulating brain activity and holds the potential for broad accessibility. This work discusses the mechanisms of the four distinct approaches to modulating brain activity non-invasively: electrical currents, magnetic fields, light, and ultrasound. We examine the dual stochastic and deterministic nature of brain activity and its implications for NIBS, highlighting the challenges posed by inter-individual variability, nebulous dose-response relationships, potential biases and neuroanatomical heterogeneity. Looking forward, we propose five areas of opportunity for future research: closed-loop stimulation, consistent stimulation of the intended target region, reducing bias, multimodal approaches, and strategies to address low sample sizes.
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Affiliation(s)
- Jake Toth
- Automatic Control and Systems Engineering, Neuroscience Institute, Insigneo Institute, University of Sheffield, Sheffield, United Kingdom
| | | | - Méadhbh Brosnan
- School of Psychology, University College Dublin, Dublin, Ireland
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Mahnaz Arvaneh
- Automatic Control and Systems Engineering, Neuroscience Institute, Insigneo Institute, University of Sheffield, Sheffield, United Kingdom
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5
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Lees T, Ram N, Swingler MM, Gatzke-Kopp LM. The effect of hair type and texture on electroencephalography and event-related potential data quality. Psychophysiology 2024; 61:e14499. [PMID: 38084752 PMCID: PMC10922334 DOI: 10.1111/psyp.14499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 11/16/2023] [Accepted: 11/21/2023] [Indexed: 01/04/2024]
Abstract
Research utilizing event-related potential (ERP) methods is generally biased with regard to sample representativeness. Among the myriad of factors that contribute to sample bias are researchers' assumptions about the extent to which racial differences in hair texture, volume, and style impact electrode placement, and subsequently, study eligibility. The current study examines these impacts using data collected from n = 213 individuals ages 17-19 years, and offers guidance on collection of ERP data across the full spectrum of hair types. Individual differences were quantified for hair texture using a visual scale, and for hair volume by measuring the amount of gel used in cap preparation. Electroencephalography data quality was assessed with multiple metrics at the preprocessing, post-processing, and variable generation stages. Results indicate that hair volume is associated with small, but systematic differences in signal quality and signal amplitude. Such differences are highly problematic as they could be misattributed to cognitive differences among groups. However, inclusion of gel volume as a covariate to account for individual differences in hair volume significantly reduced, and in most cases eliminated, group differences. We discuss strategies for overcoming real and perceived technical barriers for researchers seeking to achieve greater inclusivity and representativeness in ERP research.
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Affiliation(s)
- Ty Lees
- Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Nilam Ram
- Communication, Stanford University, Stanford, California, USA
- Psychology, Stanford University, Stanford, California, USA
| | - Margaret M Swingler
- Frank Porter Graham Child Development Institute, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, USA
| | - Lisa M Gatzke-Kopp
- Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, Pennsylvania, USA
- Human Development and Family Studies, The Pennsylvania State University, University Park, Pennsylvania, USA
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Chagas AM, Canli T, Ziadlou D, Forlano PM, Samaddar S, Chua E, Baskerville KA, Poon K, Neuwirth LS. Using Open Neuroscience to Advance Equity in the Pedagogy and Research Infrastructure in Colleges/Universities Still Financially Impacted by COVID-19: The Emergence of a Global Resource Network Aimed at Integrating Neuroscience and Society. JOURNAL OF UNDERGRADUATE NEUROSCIENCE EDUCATION : JUNE : A PUBLICATION OF FUN, FACULTY FOR UNDERGRADUATE NEUROSCIENCE 2023; 21:E2-E7. [PMID: 37588641 PMCID: PMC10426815 DOI: 10.59390/jvic5712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 03/22/2023] [Accepted: 03/24/2023] [Indexed: 08/18/2023]
Affiliation(s)
- Andre Maia Chagas
- Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton BN1 9QG, United Kingdom
- TReND in Africa, Brighton, United Kingdom
- Biomedical Science Research and Training Center, Yobe State University, Nigeria
| | - Turhan Canli
- Department of Psychology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Donya Ziadlou
- Department of Psychology, Stony Brook University, Stony Brook, NY 11794, USA
| | | | | | - Elizabeth Chua
- Department of Psychology, Brooklyn College and Graduate Center, The City University of New York, Brooklyn, NY 11210, USA
| | | | - Kinning Poon
- Biological Sciences, SUNY Old Westbury
- SUNY Neuroscience Research Institute
| | - Lorenz S. Neuwirth
- SUNY Neuroscience Research Institute
- Department of Psychology, SUNY Old Westbury, Old Westbury, NY 11568, USA
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7
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Kwasa J, Peterson HM, Karrobi K, Jones L, Parker T, Nickerson N, Wood S. Demographic reporting and phenotypic exclusion in fNIRS. Front Neurosci 2023; 17:1086208. [PMID: 37229429 PMCID: PMC10203458 DOI: 10.3389/fnins.2023.1086208] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 04/05/2023] [Indexed: 05/27/2023] Open
Abstract
Functional near-infrared spectroscopy (fNIRS) promises to be a leading non-invasive neuroimaging method due to its portability and low cost. However, concerns are rising over its inclusivity of all skin tones and hair types (Parker and Ricard, 2022, Webb et al., 2022). Functional NIRS relies on direct contact of light-emitting optodes to the scalp, which can be blocked more by longer, darker, and especially curlier hair. Additionally, NIR light can be attenuated by melanin, which is accounted for in neither fNIRS hardware nor analysis methods. Recent work has shown that overlooking these considerations in other modalities like EEG leads to the disproportionate exclusion of individuals with these phenotypes-especially Black people-in both clinical and research literature (Choy, 2020; Bradford et al., 2022; Louis et al., 2023). In this article, we sought to determine if (Jöbsis, 1977) biomedical optics developers and researchers report fNIRS performance variability between skin tones and hair textures, (2a) fNIRS neuroscience practitioners report phenotypic and demographic details in their articles, and thus, (2b) is a similar pattern of participant exclusion found in EEG also present in the fNIRS literature. We present a literature review of top Biomedical Optics and Human Neuroscience journals, showing that demographic and phenotypic reporting is unpopular in both fNIRS development and neuroscience applications. We conclude with a list of recommendations to the fNIRS community including examples of Black researchers addressing these issues head-on, inclusive best practices for fNIRS researchers, and recommendations to funding and regulatory bodies to achieve an inclusive neuroscience enterprise in fNIRS and beyond.
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Affiliation(s)
- Jasmine Kwasa
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, United States
| | - Hannah M. Peterson
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA, United States
| | - Kavon Karrobi
- Department of Biomedical Engineering, Boston University, Boston, MA, United States
| | - Lietsel Jones
- Burnett School of Biomedical Sciences, University of Central Florida, Orlando, FL, United States
| | - Termara Parker
- Interdepartmental Neuroscience Program, School of Medicine, Yale University, New Haven, CT, United States
| | - Nia Nickerson
- Combined Program in Education and Psychology, University of Michigan, Ann Arbor, MI, United States
| | - Sossena Wood
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, United States
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States
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Sege CT, McTeague LM, Kegley M, Shacklewood C, Halliday CA, Calhoun CD, Joseph JE, Adams ZW, Hajcak G, Danielson CK. Neurophysiology of predictable unpleasant event processing in preadolescents and early adolescents, part I: Event-related potential markers of unpleasant image anticipation and processing. Dev Psychobiol 2023; 65:e22383. [PMID: 37073594 PMCID: PMC11071696 DOI: 10.1002/dev.22383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 02/15/2023] [Accepted: 02/20/2023] [Indexed: 04/20/2023]
Abstract
The ability to anticipate and process predictable unpleasant events, while also regulating emotional reactivity, is an adaptive skill. The current article and a companion in this issue test for potential changes in predictable event processing across the childhood-to-adolescence transition, a key developmental period for biological systems that support cognitive/emotional abilities. While the companion article focuses on emotion regulation and peripheral attention modulation in predictable unpleasant contexts, the current paper presents neurophysiological markers of predictable event processing itself. 315 third-, sixth-, or ninth-grade individuals saw 5-s cues predicting "scary," "every day," or uncertain image content; in this paper, cue- and picture-locked event-related potentials (ERPs) are analyzed. During the cue, early ERP positivities were increased and later slow-wave negativities were reduced when predicted content was scary as compared with mundane. After picture onset, a picture processing-related positivity was then increased for scary compared with everyday images regardless of predictability. Cue-interval data suggest enhanced processing of scary cues and reduced anticipatory processing of scary images-opposite to adults. After event onset, meanwhile, emotional ERP enhancement regardless of predictability is similar to adults and suggests that even preadolescent individuals maintain preferential engagement with unpleasant events when they are predictable.
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Affiliation(s)
- Christopher T. Sege
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Lisa M. McTeague
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Molly Kegley
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
- Psychology Department, University of Tulsa, USA
| | - Curtisha Shacklewood
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Colleen A. Halliday
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Casey D. Calhoun
- Chapel Hill Department of Psychiatry, University of North Carolina, USA
| | - Jane E. Joseph
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | | | - Greg Hajcak
- Department of Psychology, Florida State University, USA
| | - Carla Kmett Danielson
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
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9
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Sege CT, McTeague LM, Kegley M, Shacklewood C, Halliday CA, Calhoun CD, Joseph JE, Adams ZW, Hajcak G, Danielson CK. Neurophysiology of predictable unpleasant event processing in pre-adolescents and early adolescents, part II: Reflex and event-related potential markers of defensive reactivity and peripheral attention modulation. Dev Psychobiol 2023; 65:e22386. [PMID: 37073586 PMCID: PMC10948024 DOI: 10.1002/dev.22386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 02/15/2023] [Accepted: 02/20/2023] [Indexed: 04/20/2023]
Abstract
The ability to anticipate and process predictable unpleasant events, while also regulating emotional reactivity, is an adaptive skill. The current article and a companion in this issue test for potential changes in predictable event processing across the childhood-to-adolescence transition, a key developmental period for biological systems that support cognitive/ emotional abilities. While the companion article focuses on neurophysiology of predictable event processing itself, the present article examines peripheral emotional response regulation and attention modulation that coincides with event processing. A total of 315 third-, sixth-, or ninth-grade individuals saw 5-s cues predicting "scary," "every day," or uncertain pictures, and here, blink reflexes and brain event-related potentials (ERPs) elicited by peripheral noise probes are analyzed. During the cue, blink reflexes and probe ERP (P200) amplitudes were increased when the cue predicted scary, compared to everyday, content. After picture onset, reflex enhancement by scary content then disappeared for predictable images, whereas ERP modulation was similar regardless of predictability. Patterns are similar to those in adults and suggest (1) sustained defensive response priming and enhancement of peripheral attention during aversive anticipation, and (2) an ability, even in pre-adolescents, to downregulate defensive priming while maintaining attentional modulation once an awaited predictable aversive event occurs.
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Affiliation(s)
- Christopher T. Sege
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Lisa M. McTeague
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Molly Kegley
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
- Department of Psychology, University of Tulsa, Tulsa, Oklahoma, USA
| | - Curtisha Shacklewood
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Colleen A. Halliday
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Casey D. Calhoun
- Department of Psychiatry, University of North Carolina–Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jane E. Joseph
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Zachary W. Adams
- Department of Psychiatry, Indiana University, Indianapolis, Indiana, USA
| | - Greg Hajcak
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
| | - Carla Kmett Danielson
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
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10
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Doherty EJ, Spencer CA, Burnison J, Čeko M, Chin J, Eloy L, Haring K, Kim P, Pittman D, Powers S, Pugh SL, Roumis D, Stephens JA, Yeh T, Hirshfield L. Interdisciplinary views of fNIRS: Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community. Front Integr Neurosci 2023; 17:1059679. [PMID: 36922983 PMCID: PMC10010439 DOI: 10.3389/fnint.2023.1059679] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 02/08/2023] [Indexed: 03/02/2023] Open
Abstract
Functional Near-Infrared Spectroscopy (fNIRS) is an innovative and promising neuroimaging modality for studying brain activity in real-world environments. While fNIRS has seen rapid advancements in hardware, software, and research applications since its emergence nearly 30 years ago, limitations still exist regarding all three areas, where existing practices contribute to greater bias within the neuroscience research community. We spotlight fNIRS through the lens of different end-application users, including the unique perspective of a fNIRS manufacturer, and report the challenges of using this technology across several research disciplines and populations. Through the review of different research domains where fNIRS is utilized, we identify and address the presence of bias, specifically due to the restraints of current fNIRS technology, limited diversity among sample populations, and the societal prejudice that infiltrates today's research. Finally, we provide resources for minimizing bias in neuroscience research and an application agenda for the future use of fNIRS that is equitable, diverse, and inclusive.
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Affiliation(s)
- Emily J. Doherty
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States
| | - Cara A. Spencer
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States
| | | | - Marta Čeko
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States
| | - Jenna Chin
- College of Arts, Humanities, and Social Sciences, Psychology, University of Denver, Denver, CO, United States
| | - Lucca Eloy
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States
| | - Kerstin Haring
- Department of Computer Science, University of Denver, Denver, CO, United States
| | - Pilyoung Kim
- College of Arts, Humanities, and Social Sciences, Psychology, University of Denver, Denver, CO, United States
| | - Daniel Pittman
- Department of Computer Science, University of Denver, Denver, CO, United States
| | - Shannon Powers
- College of Arts, Humanities, and Social Sciences, Psychology, University of Denver, Denver, CO, United States
| | - Samuel L. Pugh
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States
| | | | - Jaclyn A. Stephens
- Department of Occupational Therapy, Colorado State University, Fort Collins, CO, United States
| | - Tom Yeh
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States
| | - Leanne Hirshfield
- Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States
- Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, United States
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