Bibliometric evaluation of 2000–2019 publications on functional near-infrared spectroscopy

This study aimed to explore and analyze research trends and frontiers on functional near-infrared spectroscopy (fNIRS) in the past 20 years and identify collaboration networks. fNIRS-related publications from 2000 to 2019 were retrieved from the Web of Science database. A total of 1727 publications satisfied the search criteria. Bibliometric visualization analysis of active authors, journals, institutions, countries, references, and keywords were conducted. The number of annual related publications remarkably increased over the years. Fallgatter published the largest number of fNIRS-related papers (83). Neuroimage not only had the largest number of papers published in the first 10 journals (157 articles) but also had the highest impact factor (IF 2018 = 5.812). The University of Tubingen had the highest number of fNIRS-related publications in the past 20 years. The United States ranked first in terms of comprehensive influence in this field. In recent years, burst keywords (e.g., infant, social interaction, and older adult) and a series of references with citation burst provided clues on research frontiers.

[1]  Ann-Christine Ehlis,et al.  Reconstructing functional near-infrared spectroscopy (fNIRS) signals impaired by extra-cranial confounds: An easy-to-use filter method , 2014, NeuroImage.

[2]  R. Snider Brain Mechanisms , 1965, Neurology.

[3]  Xu Cui,et al.  Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics , 2010, NeuroImage.

[4]  Meen Chul Kim,et al.  Orphan drugs and rare diseases: a scientometric review (2000 – 2014) , 2014 .

[5]  Klaus Jung,et al.  A bibliometric evaluation of publications in urological journals among European Union countries between 2000-2005. , 2007, European urology.

[6]  Blaise deB. Frederick,et al.  Perspective: Prospects of non-invasive sensing of the human brain with diffuse optical imaging. , 2018, APL photonics.

[7]  A. Blasi,et al.  Illuminating the developing brain: The past, present and future of functional near infrared spectroscopy , 2010, Neuroscience & Biobehavioral Reviews.

[8]  Ming Tang,et al.  A Bibliometric Analysis and Visualization of Medical Big Data Research , 2018 .

[9]  Meltem Izzetoglu,et al.  Neural correlates of obstacle negotiation in older adults: An fNIRS study. , 2017, Gait & posture.

[10]  E. Watanabe,et al.  Spatial and temporal analysis of human motor activity using noninvasive NIR topography. , 1995, Medical physics.

[11]  Cody J. Weinberger,et al.  The Scientific Impact of Nations: Journal Placement and Citation Performance , 2014, PloS one.

[12]  P. Ekkekakis,et al.  Affect and prefrontal hemodynamics during exercise under immersive audiovisual stimulation: Improving the experience of exercise for overweight adults , 2019, Journal of sport and health science.

[13]  Martin Wolf,et al.  A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology , 2014, NeuroImage.

[14]  Christian Gerloff,et al.  Brain-to-brain synchrony in parent-child dyads and the relationship with emotion regulation revealed by fNIRS-based hyperscanning , 2018, NeuroImage.

[15]  Yudan Liang,et al.  Study of acupuncture for low back pain in recent 20 years: a bibliometric analysis via CiteSpace , 2017, Journal of pain research.

[16]  Chaomei Chen,et al.  Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace , 2012, Expert opinion on biological therapy.

[17]  A. Noda,et al.  Differential effects of physical activity and sleep duration on cognitive function in young adults , 2017, Journal of sport and health science.

[18]  Matthias J. Wieser,et al.  Auditory cortex activation is modulated by emotion: A functional near-infrared spectroscopy (fNIRS) study , 2011, NeuroImage.

[19]  S. Kaparthi,et al.  A Bibliometric Analysis , 2005, J. Decis. Syst..

[20]  A. Kleinschmidt,et al.  Simultaneous Recording of Cerebral Blood Oxygenation Changes during Human Brain Activation by Magnetic Resonance Imaging and Near-Infrared Spectroscopy , 1996, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[21]  Isabel C. Lisboa,et al.  Brain mechanisms for processing discriminative and affective touch in 7-month-old infants , 2017, Developmental Cognitive Neuroscience.

[22]  A. Lawson McLean,et al.  Publication trends in transcranial magnetic stimulation: a 30-year panorama , 2019, Brain Stimulation.

[23]  David A. Boas,et al.  Twenty years of functional near-infrared spectroscopy: introduction for the special issue , 2014, NeuroImage.

[24]  I. Dan,et al.  Acute moderate exercise enhances compensatory brain activation in older adults , 2012, Neurobiology of Aging.

[25]  Masako Okamoto,et al.  Acute moderate exercise elicits increased dorsolateral prefrontal activation and improves cognitive performance with Stroop test , 2010, NeuroImage.

[26]  Chaomei Chen,et al.  CiteSpace II: Visualization and Knowledge Discovery in Bibliographic Databases , 2005, AMIA.

[27]  Robert J Cooper,et al.  Review of recent progress toward a fiberless, whole-scalp diffuse optical tomography system , 2017, Neurophotonics.

[28]  Guang-yan Dai,et al.  Trends of Repetitive Transcranial Magnetic Stimulation From 2009 to 2018: A Bibliometric Analysis , 2020, Frontiers in Neuroscience.

[29]  M. Ferrari,et al.  Principles, techniques, and limitations of near infrared spectroscopy. , 2004, Canadian journal of applied physiology = Revue canadienne de physiologie appliquee.

[30]  S. Debener,et al.  Cross-Modal Functional Reorganization of Visual and Auditory Cortex in Adult Cochlear Implant Users Identified with fNIRS , 2015, Neural plasticity.

[31]  Kangyong Zheng,et al.  Publications on the Association Between Cognitive Function and Pain from 2000 to 2018: A Bibliometric Analysis Using CiteSpace , 2019, Medical science monitor : international medical journal of experimental and clinical research.

[32]  Heidrun Wabnitz,et al.  The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy , 2012, NeuroImage.

[33]  Guoqing Zhao,et al.  The Analysis of Research Hotspots and Fronts of Knowledge Visualization Based on CiteSpace II , 2012, ICHL.

[34]  Petri Hiltunen,et al.  Affective and non-affective touch evoke differential brain responses in 2-month-old infants , 2018, NeuroImage.

[35]  M. Ferrari,et al.  A Mini-Review on Functional Near-Infrared Spectroscopy (fNIRS): Where Do We Stand, and Where Should We Go? , 2019, Photonics.

[36]  Y. Liu,et al.  Effective Connectivity in Response to Posture Changes in Elderly Subjects as Assessed Using Functional Near-Infrared Spectroscopy , 2018, Front. Hum. Neurosci..

[37]  Joseph P Culver,et al.  Quantitative evaluation of high-density diffuse optical tomography: in vivo resolution and mapping performance. , 2010, Journal of biomedical optics.

[38]  J. Hirsch,et al.  The present and future use of functional near‐infrared spectroscopy (fNIRS) for cognitive neuroscience , 2018, Annals of the New York Academy of Sciences.

[39]  M. Tamura,et al.  Dynamic multichannel near-infrared optical imaging of human brain activity. , 1993, Journal of applied physiology.

[40]  Roberta Bronson Fitzpatrick,et al.  Essential Science Indicators. , 2005, Medical reference services quarterly.

[41]  Xueqiang Wang,et al.  Bibliometric Study of the Comorbidity of Pain and Depression Research , 2019, Neural plasticity.

[42]  Joseph P Culver,et al.  Near infrared optical technologies to illuminate the status of the neonatal brain. , 2014, Current pediatric reviews.

[43]  Mahlega S. Hassanpour,et al.  Mapping distributed brain function and networks with diffuse optical tomography , 2014, Nature Photonics.

[44]  Ippeita Dan,et al.  Positive effect of acute mild exercise on executive function via arousal-related prefrontal activations: An fNIRS study , 2014, NeuroImage.

[45]  Zhen Yuan,et al.  Concurrent mapping of brain activation from multiple subjects during social interaction by hyperscanning: a mini-review. , 2018, Quantitative imaging in medicine and surgery.

[46]  M. Matsunaga,et al.  Effects of movement music therapy with a percussion instrument on physical and frontal lobe function in older adults with mild cognitive impairment: a randomized controlled trial , 2018, Aging & mental health.

[47]  S. Lloyd-Fox Functional near infrared spectroscopy (fNIRS) , 2020, The Oxford Handbook of Developmental Cognitive Neuroscience.

[48]  Nick Everdell,et al.  Selective Cortical Mapping of Biological Motion Processing in Young Infants , 2011, Journal of Cognitive Neuroscience.

[49]  Marco Ferrari,et al.  A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application , 2012, NeuroImage.

[50]  EllegaardOle,et al.  The bibliometric analysis of scholarly production , 2015 .

[51]  Martin Wolf,et al.  Progress of near-infrared spectroscopy and topography for brain and muscle clinical applications. , 2007, Journal of biomedical optics.

[52]  Yoko Hoshi,et al.  Functional near-infrared spectroscopy: current status and future prospects. , 2007, Journal of biomedical optics.

[53]  Johan A. Wallin,et al.  The bibliometric analysis of scholarly production: How great is the impact? , 2015, Scientometrics.

[54]  Xueqiang Wang,et al.  A Bibliometric Analysis of Nonspecific Low Back Pain Research , 2020, Pain research & management.

[55]  Gary E. Strangman,et al.  Wearable brain imaging with multimodal physiological monitoring. , 2018, Journal of applied physiology.

[56]  Marco Ferrari,et al.  Functional Near-Infrared Spectroscopy (fNIRS) for Assessing Cerebral Cortex Function During Human Behavior in Natural/Social Situations: A Concise Review , 2019 .

[57]  Ó. Gonçalves,et al.  Infant brain response to affective and discriminative touch: A longitudinal study using fNIRS , 2018, Social neuroscience.

[58]  F. Jöbsis Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. , 1977, Science.

[59]  Katherine L. Perdue,et al.  The infant brain in the social world: Moving toward interactive social neuroscience with functional near-infrared spectroscopy , 2018, Neuroscience & Biobehavioral Reviews.

[60]  J. E. Hirsch,et al.  An index to quantify an individual's scientific research output , 2005, Proc. Natl. Acad. Sci. USA.

[61]  Chaomei Chen,et al.  CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature , 2006, J. Assoc. Inf. Sci. Technol..

[62]  Janette Atkinson,et al.  Regional Hemodynamic Responses to Visual Stimulation in Awake Infants , 1998, Pediatric Research.

[63]  Chaomei Chen,et al.  Searching for intellectual turning points: Progressive knowledge domain visualization , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[64]  David A. Boas,et al.  Dynamic physiological modeling for functional diffuse optical tomography , 2006, NeuroImage.