The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Near‐infrared spectroscopy can detect brain activity during a color–word matching Stroop task in an event‐related design
Open accessAbstract
Brain activity can be monitored non‐invasively by near‐infrared spectroscopy (NIRS), which has several advantages in comparison with other imaging methods, such as flexibility, portability, low cost and biochemical specificity. Moreover, patients and children can be repetitively examined. Therefore, the objective of the study was to test the feasibility of NIRS for the event‐related approach in functional brain activation studies with cognitive paradigms. Thus, changes in the concentration of oxy‐, deoxy‐, and total hemoglobin were measured by NIRS in 14 healthy subjects while performing a color–word matching Stroop task in an event‐related design. The hemodynamic response (increase in the concentration of oxy‐/total hemoglobin and decrease in the concentration of deoxy‐hemoglobin) was stronger during incongruent compared to congruent and neutral trials of the Stroop task in the lateral prefrontal cortex bilaterally. This stronger hemodynamic response was interpreted as a stronger brain activation during incongruent trials of the Stroop task, due to interference. A new method for NIRS data evaluation that enables the analysis of the hemodynamic response to each single trial is introduced. Each hemodynamic response was characterized by the parameters gain, lag and dispersion of a Gaussian function fitted by nonlinear regression. Specific differences between the incongruent and neutral condition were found for gain and lag. Further, these parameters were correlated with the behavioral performance. In conclusion, brain activity may be studied by NIRS using cognitive stimuli in an event‐related design. Hum. Brain Mapping 17:61–71, 2002. © 2002 Wiley‐Liss, Inc.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“The ability of NIRS to measure blood flow changes following cerebral activation has been validated by its use in a number of studies (Fallgatter and Strik 1998; Izzetoglu et al. 2003, 2004; Schroeter et al. 2002; Shibuya-Tayoshi et al. 2007) including following different nutritional interventions (Jackson et al. 2012a, b; Kennedy and Haskell 2011; Kennedy et al. 2010b; Wightman et al. 2014).”
From A Double-Blind, Placebo-Controlled Study Evaluating the Effects of Caffeine and L-Theanine Both Alone and in Combination on Cerebral Blood Flow, Cognition and Mood (2015) · cites this paper as Schroeter et al. 2002
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Studies of interference in serial verbal reactions
Stroop, J. R. (1935) · Journal of Experimental Psychology · doi:10.1037/h0054651 · Cited by 18,622
SENSE: Sensitivity encoding for fast MRI
Pruessmann, K. P., Weiger, M., Scheidegger, M. B., & Boesiger, P. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199911)42:5 · Cited by 6,303
Half a century of research on the Stroop effect: An integrative review.
MacLeod, C. M. (1991) · Psychological Bulletin · doi:10.1037/0033-2909.109.2.163 · Cited by 5,500
Non-invasive optical spectroscopy and imaging of human brain function
Villringer, A., & Chance, B. (1997) · Trends in Neurosciences · doi:10.1016/s0166-2236(97)01132-6 · Cited by 1,621
Cerebral location of international 10–20 system electrode placement
Homan, R. W., Herman, J. H., & Purdy, P. D. (1987) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(87)90206-9 · Cited by 1,414
Malonek, D., & Grinvald, A. (1996) · Science · doi:10.1126/science.272.5261.551 · Cited by 1,109
Cope, M., & Delpy, D. T. (1988) · Medical & Biological Engineering & Computing · doi:10.1007/bf02447083 · Cited by 1,079
Parsing executive processes: Strategic vs. evaluative functions of the anterior cingulate cortex
Carter, C. S., Macdonald, A. M., Botvinick, M., Ross, L. L., Stenger, V. A., Noll, D. C., & Cohen, J. D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.4.1944 · Cited by 954
Duncan, A., Meek, J. H., Clemence, M., Elwell, C. E., Tyszczuk, L., Cope, M., & Delpy, D. T. (1995) · Physics in Medicine and Biology · doi:10.1088/0031-9155/40/2/007 · Cited by 650
Coupling of brain activity and cerebral blood flow: basis of functional neuroimaging.
Villringer, A., & Dirnagl, U. (1995) · PubMed · Cited by 573
Flagged first, then by citations
Research works printed but not linked: 3
- Kruggel F, 1996, Computer‐aided radiology, 323
- Kruggel F, 2000, Workshop on mathematical methods in biomedical image analysis (Hilton Head), 154
- NorrisDG RedpathTW(1997):The MDEFT sequence is applicable for clinical systems operating at 1T. In: Proceedings of the International Society of Magnetic Resonance in Medicine 5th Annual Meeting Vancouver British Columbia. p686.
Cited by
Sorted by citations
Beyond the Visible???Imaging the Human Brain With Light
Obrig, H., & Villringer, A. (2003) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/01.wcb.0000043472.45775.29 · Cited by 894
Yanagisawa, H., Dan, I., Tsuzuki, D., Kato, M., Okamoto, M., Kyutoku, Y., & Soya, H. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.023 · Cited by 661
Pain activates cortical areas in the preterm newborn brain
Bartocci, M., Bergqvist, L. L., Lagercrantz, H., & Anand, K. J. S. (2006) · Pain · doi:10.1016/j.pain.2006.01.015 · Cited by 507
Predicting brain-age from multimodal imaging data captures cognitive impairment
Liem, F., Varoquaux, G. P., Kynast, J., Beyer, F., Masouleh, S. K., Huntenburg, J. M., Lampe, L., Rahim, M., Abraham, A., Craddock, R. C., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.005 · Cited by 522
Self-citationFunctional near-infrared spectroscopy: current status and future prospects
Hoshi, Y. (2007) · Journal of Biomedical Optics · doi:10.1117/1.2804911 · Cited by 472
Statistical analysis of fNIRS data: A comprehensive review
Tak, S., & Ye, J. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.016 · Cited by 493
Byun, K., Hyodo, K., Suwabe, K., Ochi, G., Sakairi, Y., Kato, M., Dan, I., & Soya, H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.067 · Cited by 459
Event-related functional near-infrared spectroscopy (fNIRS): Are the measurements reliable?
Plichta, M. M., Herrmann, M. J., Baehne, C. G., Ehlis, A., Richter, M. M., Pauli, P., & Fallgatter, A. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.12.008 · Cited by 359
Schroeter, M. L., Stein, T., Maslowski, N. I., & Neumann, J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.037 · Cited by 348
Self-citationApplication of functional near-infrared spectroscopy in psychiatry
Ehlis, A., Schneider, S., Dresler, T., & Fallgatter, A. J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.067 · Cited by 292
The Prefrontal Cortex: Functional Neural Development During Early Childhood
Tsujimoto, S. (2008) · The Neuroscientist · doi:10.1177/1073858408316002 · Cited by 291
Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
Hong, K., Khan, M. J., & Hong, M. J. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00246 · Cited by 287
Plichta, M. M., Heinzel, S., Ehlis, A., Pauli, P., & Fallgatter, A. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.11.028 · Cited by 281
Jasdzewski, G., Strangman, G. E., Wagner, J., Kwong, K. K., Poldrack, R. A., & Boas, D. A. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00311-2 · Cited by 277
Tsuzuki, D., & Dan, I. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.025 · Cited by 271
Towards a standard analysis for functional near-infrared imaging
Schroeter, M. L., Bücheler, M. M., Müller, K., Uludaǧ, K., Obrig, H., Lohmann, G., Tittgemeyer, M., Villringer, A., & von Cramon, D. Y. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.09.054 · Cited by 231
Self-citationSchroeter, M. L., Zysset, S., Wahl, M. M., & von Cramon, D. Y. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.08.001 · Cited by 225
Self-citationBalconi, M., Grippa, E., & Vanutelli, M. E. (2015) · Brain and Cognition · doi:10.1016/j.bandc.2015.02.001 · Cited by 227
Age dependency of the hemodynamic response as measured by functional near-infrared spectroscopy
Schroeter, M. L., Zysset, S., Kruggel, F., & von Cramon, D. Y. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00155-1 · Cited by 213
Self-citationKujach, S., Byun, K., Hyodo, K., Suwabe, K., Fukuie, T., Laskowski, R., Dan, I., & Soya, H. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.003 · Cited by 186
Zhang, Q., Strangman, G. E., & Ganis, G. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.12.048 · Cited by 176
Cerebral oxygenation changes in the prefrontal cortex: Effects of age and gender
Herrmann, M. J., Walter, A., Ehlis, A., & Fallgatter, A. J. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.04.013 · Cited by 161
Prosodic processing in the developing brain
Homae, F., Watanabe, H., Nakano, T., & Taga, G. (2007) · Neuroscience Research · doi:10.1016/j.neures.2007.05.005 · Cited by 154
Frontal regions involved in learning of motor skill—A functional NIRS study
Hatakenaka, M., Miyai, I., Mihara, M., Sakoda, S., & Kubota, K. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.08.014 · Cited by 145
Shimada, S., Hiraki, K., & Oda, I. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.10.039 · Cited by 144
Ehlis, A., Herrmann, M. J., Wagener, A., & Fallgatter, A. J. (2004) · Biological Psychology · doi:10.1016/j.biopsycho.2004.09.003 · Cited by 141
Investigating the post-stimulus undershoot of the BOLD signal—a simultaneous fMRI and fNIRS study
Schroeter, M. L., Kupka, T., Mildner, T., Uludaǧ, K., & von Cramon, D. Y. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.048 · Cited by 139
Self-citationFunctional near Infrared Optical Imaging in Cognitive Neuroscience: An Introductory Review
Cutini, S., Moro, S. B., & Bisconti, S. (2012) · Journal of Near Infrared Spectroscopy · doi:10.1255/jnirs.969 · Cited by 140
Stroop interference, hemodynamic response and aging: An event-related fMRI study
Zysset, S., Schroeter, M. L., Neumann, J., & von Cramon, D. Y. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.05.008 · Cited by 127
Self-citationPlichta, M. M., Herrmann, M. J., Baehne, C. G., Ehlis, A., Richter, M. M., Pauli, P., & Fallgatter, A. J. (2006) · Human Brain Mapping · doi:10.1002/hbm.20303 · Cited by 124
Functional Near‐Infrared Spectroscopy: Potential and Limitations in Neuroimaging Studies
Hoshi, Y. (2005) · International review of neurobiology · doi:10.1016/s0074-7742(05)66008-4 · Cited by 123
Wriessnegger, S. C., Kurzmann, J., & Neuper, C. (2007) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2007.10.004 · Cited by 122
Xiao, T., Zhou, X., Ke, X., Hong, S., Yang, H., Yan-Li, S., Chu, K., Xiao, X. N., Shen, J., & Liu, Y. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046569 · Cited by 125
Wightman, E. L., Haskell‐Ramsay, C. F., Forster, J. S., Veasey, R. C., & Kennedy, D. O. (2012) · Human Psychopharmacology Clinical and Experimental · doi:10.1002/hup.1263 · Cited by 116
Executive deficits are related to the inferior frontal junction in early dementia
Schroeter, M. L., Vogt, B., Frisch, S., Becker, G., Barthel, H., Mueller, K., Villringer, A., & Sabri, O. (2011) · Brain · doi:10.1093/brain/awr311 · Cited by 120
Self-citationArenth, P. M., Ricker, J. H., & Schultheis, M. T. (2006) · The Clinical Neuropsychologist · doi:10.1080/13854040600878785 · Cited by 111
Thompson, K. G., Turner, L., Prichard, J., Dodd, F., Kennedy, D. O., Haskell, C., Blackwell, J. R., & Jones, A. M. (2014) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2013.12.015 · Cited by 109
Herrmann, M. J., Huter, T. J., Plichta, M. M., Ehlis, A., Alpers, G. W., Mühlberger, A., & Fallgatter, A. J. (2007) · Human Brain Mapping · doi:10.1002/hbm.20368 · Cited by 107
Spontaneous Low-Frequency Oscillations Decline in the Aging Brain
Schroeter, M. L., Schmiedel, O., & von Cramon, D. Y. (2004) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/01.wcb.0000135231.90164.40 · Cited by 103
Self-citationDodd, F. L., Kennedy, D. O., Riby, L. M., & Haskell-Ramsay, C. F. (2015) · Psychopharmacology · doi:10.1007/s00213-015-3895-0 · Cited by 102
“measurements, their ability to activate the pre-frontal cortex (Drummond et al. 1999; Lawrence et al. 2002; Schroeter et al. 2002).”
BackgroundMethodInfluentialJones, K. T., Gözenman, F., & Berryhill, M. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.012 · Cited by 101
Negoro, H., Sawada, M., Iida, J., Ota, T., Tanaka, S., & Kishimoto, T. (2009) · Child Psychiatry & Human Development · doi:10.1007/s10578-009-0160-y · Cited by 97
Selective activation of the superior frontal gyrus in task-switching: An event-related fNIRS study
Cutini, S., Scatturin, P., Menon, E., Bisiacchi, P. S., Gamberini, L., Zorzi, M., & Dell’Acqua, R. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.05.013 · Cited by 102
Tsuzuki, D., Cai, D., Dan, H., Kyutoku, Y., Fujita, A., Watanabe, E., & Dan, I. (2011) · Neuroscience Research · doi:10.1016/j.neures.2011.10.008 · Cited by 94
Optical topography during a Go–NoGo task assessed with multi-channel near-infrared spectroscopy
Herrmann, M. J., Plichta, M. M., Ehlis, A., & Fallgatter, A. J. (2005) · Behavioural Brain Research · doi:10.1016/j.bbr.2004.11.032 · Cited by 91
Laguë-Beauvais, M., Brunet, J., Gagnon, L., Lesage, F., & Bherer, L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.042 · Cited by 99
Sensor space group analysis for fNIRS data
Tak, S., Uga, M., Flandin, G., Dan, I., & Penny, W. D. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.03.003 · Cited by 83
Reduced Prefrontal Oxygenation in Alzheimer Disease During Verbal Fluency Tasks
Herrmann, M. J., Langer, J. B. M., Jacob, C., Ehlis, A., & Fallgatter, A. J. (2007) · American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e3180cc1fbc · Cited by 87
Quaresima, V., Ferrari, M., Torricelli, A. M., Spinelli, L., Pifferi, A., & Cubeddu, R. (2005) · Journal of Biomedical Optics · doi:10.1117/1.1851512 · Cited by 85
Agbangla, N. F., Audiffren, M. F., & Albinet, C. T. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.07.003 · Cited by 91
León‐Carrión, J., Damas-López, J., Martin‐Rodríguez, J. F., Domínguez-Roldán, J. M., Murillo-Cabezas, F., y Martín, J. M. B., & Domínguez-Morales, M. R. (2008) · Behavioural Brain Research · doi:10.1016/j.bbr.2008.06.013 · Cited by 85
Hemodynamic responses on prefrontal cortex related to meditation and attentional task
Singh, D., Vinchurkar, S. A., Visweswaraiah, N. K., & Nagendra, H. R. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00252 · Cited by 84
Simultaneous event‐related potential and near‐infrared spectroscopic studies of semantic processing
Horovitz, S. G., & Gore, J. C. (2004) · Human Brain Mapping · doi:10.1002/hbm.20018 · Cited by 77
Tsujii, T., & Watanabe, S. (2009) · Brain Research · doi:10.1016/j.brainres.2009.06.080 · Cited by 79
Functional near-infrared spectroscopy in psychiatry
Lai, C. Y. Y., Ho, C. S. H., Lim, C. R., & Ho, R. C. M. (2017) · BJPsych Advances · doi:10.1192/apt.bp.115.015610 · Cited by 77
Boecker, M., Buecheler, M. V., Schroeter, M. L., & Gauggel, S. (2006) · Behavioural Brain Research · doi:10.1016/j.bbr.2006.10.009 · Cited by 76
Self-citationWEBER, P., L??TSCHG, J., & Fahnenstich, H. (2005) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/00004703-200504000-00005 · Cited by 76
Moser, S. J., Cutini, S., Weber, P., & Schroeter, M. L. (2009) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2008.10.003 · Cited by 75
Self-citationNeurovascular coupling is impaired in cerebral microangiopathy—An event-related Stroop study
Schroeter, M. L., Cutini, S., Wahl, M. M., Scheid, R., & von Cramon, D. Y. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.001 · Cited by 71
Self-citationNeural basis for reduced executive performance with hypoxic exercise
Ochi, G., Yamada, Y., Hyodo, K., Suwabe, K., Fukuie, T., Byun, K., Dan, I., & Soya, H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.091 · Cited by 74
Koike, S., Nishimura, Y., Takizawa, R., Yahata, N., & Kasai, K. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00145 · Cited by 75
Past and future of near-infrared spectroscopy in studies of emotion and social neuroscience
Balconi, M., & Molteni, E. (2015) · Journal of Cognitive Psychology · doi:10.1080/20445911.2015.1102919 · Cited by 69
Spontaneous Slow Hemodynamic Oscillations are Impaired in Cerebral Microangiopathy
Schroeter, M. L., Bücheler, M. M., Preul, C., Scheid, R., Schmiedel, O., Guthke, T., & von Cramon, D. Y. (2005) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600159 · Cited by 65
Self-citationDamrongthai, C., Kuwamizu, R., Suwabe, K., Ochi, G., Yamazaki, Y., Fukuie, T., Adachi, K., Yassa, M. A., Churdchomjan, W., & Soya, H. (2021) · Scientific Reports · doi:10.1038/s41598-021-01654-z · Cited by 65
Ehlis, A., Ringel, T. M., Plichta, M. M., Richter, M. M., Herrmann, M. J., & Fallgatter, A. J. (2009) · Neuroscience · doi:10.1016/j.neuroscience.2009.01.015 · Cited by 61
Functional assessment of Broca’s area using near infrared spectroscopy in humans
Cannestra, A. F., Wartenburger, I., Obrig, H., Villringer, A., & Toga, A. W. (2003) · Neuroreport · doi:10.1097/00001756-200310270-00016 · Cited by 61
An exploratory fNIRS study with immersive virtual reality: a new method for technical implementation
Seraglia, B., Gamberini, L., Priftis, K., Scatturin, P., Martinelli, M., & Cutini, S. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00176 · Cited by 61
This is your brain on interfaces
Hirshfield, L., Gulotta, R., Hirshfield, S. H., Hincks, S. W., Russell, M., Ward, R., Williams, T., & Jacob, R. (2011) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1978996 · Cited by 54
Hatakenaka, M., Miyai, I., Mihara, M., Yagura, H., & Hattori, N. (2011) · Neurorehabilitation and neural repair · doi:10.1177/1545968311412053 · Cited by 54
Ho, T. K. K., Gwak, J., Park, C. M., & Song, J. (2019) · IEEE Access · doi:10.1109/access.2019.2900127 · Cited by 56
Zeller, J., Herrmann, M., Ehlis, A., Polak, T., & Fallgatter, A. (2010) · The American journal of geriatric psychiatry · doi:10.1097/jgp.0b013e3181c65821 · Cited by 50
Shortening intertrial intervals in event-related cognitive studies with near-infrared spectroscopy
Schroeter, M. L., Zysset, S., & von Cramon, D. Y. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.12.041 · Cited by 53
Self-citationYennu, A. S., Tian, F., Smith‐Osborne, A., Gatchel, R. J., Woon, F. L. M., & Liu, H. (2016) · Scientific Reports · doi:10.1038/srep30157 · Cited by 56
Virtual training leads to physical, cognitive and neural benefits in healthy adults
Burin, D., Liu, Y., Yamaya, N., & Kawashima, R. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117297 · Cited by 52
Herrmann, M. J., Ehlis, A., Wagener, A., Jacob, C., & Fallgatter, A. (2005) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2005.02.011 · Cited by 51
Neural correlates of belief-bias reasoning under time pressure: A near-infrared spectroscopy study
Tsujii, T., & Watanabe, S. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.026 · Cited by 51
Verbal working memory impairments following traumatic brain injury: an fNIRS investigation
Merzagora, A. C., İzzetoğlu, M., Onaral, B., & Schultheis, M. T. (2013) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9258-8 · Cited by 50
Gentle touch activates the anterior prefrontal cortex: An NIRS study
Kida, T., & Shinohara, K. (2013) · Neuroscience Research · doi:10.1016/j.neures.2013.03.006 · Cited by 49
Seidel-Marzi, O., Carius, D., Kenville, R., & Ragert, P. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00419.2017 · Cited by 56
Ludyga, S., Mücke, M., Colledge, F., Pühse, U., & Gerber, M. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.08.045 · Cited by 51
Xu, X., Deng, Z., Huang, Q., Zhang, W., Qi, C., & Huang, J. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.12.040 · Cited by 47
Skau, S., Käll, L. B., Kuhn, H. G., & Johansson, B. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00145 · Cited by 51
Okada, K., Ota, T., Iida, J., Kishimoto, N., & Kishimoto, T. (2012) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2012.11.013 · Cited by 45
Schroeter, M. L., Pawelke, S., Bisenius, S., Kynast, J., Schuemberg, K., Polyakova, M., Anderl‐Straub, S., Danek, A., Fassbender, K. C., Jahn, H., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00011 · Cited by 47
Self-citationSuhr, J. A., & Hammers, D. B. (2010) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acq017 · Cited by 45
Plichta, M. M., Herrmann, M. J., Ehlis, A., Baehne, C. G., Richter, M. M., & Fallgatter, A. J. (2006) · Neuropsychobiology · doi:10.1159/000091723 · Cited by 42
The promise of Near-Infrared Spectroscopy (NIRS) for psychological research: A brief review
Ferreri, L., Bigand, E., Perrey, S., & Bugaïska, A. (2014) · L’Année psychologique · doi:10.4074/s0003503314003054 · Cited by 53
Shimada, S., Hiraki, K., Matsuda, G., & Oda, I. (2004) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2004.04.004 · Cited by 41
Graph theoretical approach to functional connectivity in prefrontal cortex via fNIRS
Einalou, Z., Maghooli, K., Setarehdan, S. K., & Akın, A. (2017) · Neurophotonics · doi:10.1117/1.nph.4.4.041407 · Cited by 40
Heilbronner, U., & Münte, T. F. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.066 · Cited by 41
Dresler, T., Obersteiner, A., Schecklmann, M., Vogel, A., Ehlis, A., Richter, M. M., Plichta, M. M., Reiss, K. M., Pekrun, R. H., & Fallgatter, A. J. (2009) · Journal of Neural Transmission · doi:10.1007/s00702-009-0307-9 · Cited by 38
Chen, Y., Yu, Y., Niu, R., & Liu, Y. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00243 · Cited by 43
Using fNIRS to Verify Trust in Highly Automated Driving
Perello-March, J. R., Burns, C. G., Woodman, R., Elliott, M. T., & Birrell, S. A. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3211089 · Cited by 39
Çiftçi, K., Sankur, B., Kahya, Y. P., & Akın, A. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2008.923918 · Cited by 37
Richter, M. M., Zierhut, K. C., Dresler, T., Plichta, M. M., Ehlis, A., Reiss, K. M., Pekrun, R. H., & Fallgatter, A. J. (2008) · Journal of Neural Transmission · doi:10.1007/s00702-008-0168-7 · Cited by 35
Monitoring of fatigue in radiologists during prolonged image interpretation using fNIRS
Nihashi, T., Ishigaki, T., Satake, H., Ito, S., Kaii, O., Mori, Y., Shimamoto, K., Fukushima, H., Suzuki, K., Umakoshi, H., et al. (2019) · Japanese Journal of Radiology · doi:10.1007/s11604-019-00826-2 · Cited by 34
Gagnon, C., Desjardins-Crépeau, L., Tournier, I., Desjardins, M., Lesage, F., Greenwood, C. E., & Bherer, L. (2012) · Behavioural Brain Research · doi:10.1016/j.bbr.2012.03.039 · Cited by 37
Brain activation in elderly people with and without dementia: Influences of gender and medication
Richter, M. M., Herrmann, M. J., Ehlis, A., Plichta, M. M., & Fallgatter, A. J. (2006) · The World Journal of Biological Psychiatry · doi:10.1080/15622970600960132 · Cited by 34
Byun, K., Hyodo, K., Suwabe, K., Kujach, S., Kato, M., & Soya, H. (2014) · Physical Activity and Nutrition · doi:10.5717/jenb.2014.18.4.327 · Cited by 34
Functional near Infrared Spectroscopy in Psychiatry: A Critical Review
Ernst, L. H., Schneider, S., Ehlis, A., & Fallgatter, A. J. (2012) · Journal of Near Infrared Spectroscopy · doi:10.1255/jnirs.970 · Cited by 33
Metadata
- Authors
- Schroeter, M. L., Zysset, S., Kupka, T., Kruggel, F., & von Cramon, D. Y.
- Affiliations
- Max Planck Society (DE)
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2002-07-19
- Volume
- 17
- Issue
- 1
- Pages
- 61-71
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6872032
- OpenAlex
- W2057177646
- Cited by
- 259
- References
- 28
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 13 · 2023: 8 · 2022: 8 · 2021: 7 · 2020: 8 · 2019: 10 · 2018: 16 · 2017: 18 · 2016: 13 · 2015: 9 · 2014: 11 · 2013: 12 · 2012: 18
- FWCI
- 6.88
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Keywords
- near-infrared spectroscopy, Stroop task, event-related design, hemodynamic response, hemoglobin levels, lateral prefrontal cortex, cognitive interference, Gaussian fitting, neuromodulation
- MeSH terms
- Adult, Behavior, Brain, Color, Feasibility Studies, Female, Hemodynamics, Hemoglobins, Humans, Male, Oxyhemoglobins, Reaction Time, Reference Values, Word Association Tests, Reproducibility of Results, Normal Distribution, Spectroscopy, Near-Infrared
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review