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Simultaneous measurements of cerebral oxygenation changes during brain activation by near-infrared spectroscopy and functional magnetic resonance imaging in healthy young and elderly subjects
Open accessAbstract
Near infrared spectroscopy (NIRS) and functional magnetic resonance imaging (fMRI) both allow non-invasive monitoring of cerebral cortical oxygenation responses to various stimuli. To compare these methods in elderly subjects and to determine the effect of age on cortical oxygenation responses, we determined motor-task-related changes in deoxyhemoglobin concentration ([HHb]) over the left motor cortex in six healthy young subjects (age 35 +/- 9 years, mean +/- SD) and five healthy elderly subjects (age 73 +/- 3 years) by NIRS and blood-oxygen-level-dependent (BOLD) fMRI simultaneously. The motor-task consisted of seven cycles of 20-sec periods of contralateral finger-tapping at a rate as fast as possible alternated with 40-sec periods of rest. Time-locked averages over the seven cycles were used for further analysis. Task-related decreases in [HHb] over the motor cortex were measured by NIRS, with maximum changes of -0.83 +/- 0.38 mumol/L (P < 0.01) for the young and -0.32 +/- 0.17 mumol/L (P < 0.05) for the elderly subjects. The BOLD-fMRI signal increased over the cortex volume under investigation with NIRS, with maximum changes of 2.11 +/- 0.72% (P < 0.01) for the young and 1.75 +/- 0.71% (P < 0.01) for the elderly subjects. NIRS and BOLD-fMRI measurements showed good correlation in the young (r = -0.70, r(2) = 0.48, P < 0.001) and elderly subjects (r = -0.82, r(2) = 0.67, P < 0.001). Additionally, NIRS measurements demonstrated age-dependent decreases in task-related cerebral oxygenation responses (P < 0.05), whereas fMRI measurements demonstrated smaller areas of cortical activation in the elderly subjects (P < 0.05). These findings demonstrate that NIRS and fMRI similarly assess cortical oxygenation changes in young subjects and also in elderly subjects. In addition, cortical oxygenation responses to brain activation alter with aging.
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“Research using these devices has demonstrated agreement between measurements obtained from fNIRS vs. the gold standard of functional magnetic resonance imaging (Mehagnoul-Schipper et al., 2002; Huppert et al., 2006; Sato et al., 2013; Moriguchi et al., 2017).”
From A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations (2018) · cites this paper as Mehagnoul-Schipper et al., 2002
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Cites
Estimation of optical pathlength through tissue from direct time of flight measurement
Delpy, D. T., Cope, M., van der Zee, P., Arridge, S., Wray, S., & Wyatt, J. S. (1988) · Physics in Medicine and Biology · doi:10.1088/0031-9155/33/12/008 · Cited by 2,251
Processing strategies for time‐course data sets in functional mri of the human brain
Bandettini, P. A., Jesmanowicz, A., Wong, E. C., & Hyde, J. S. (1993) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910300204 · Cited by 1,762
CEREBRAL BLOOD FLOW, BLOOD VOLUME AND OXYGEN UTILIZATION
Leenders, K. L., Perani, D., Lammertsma, A. A., Heather, J. D., Buckingham, P. D., Jones, T., Healy, M. J. R., GIBBS, J. M., WISE, R. J. S., Hatazawa, J., et al. (1990) · Brain · doi:10.1093/brain/113.1.27 · Cited by 1,094
Functional magnetic resonance imaging of complex human movements
Rao, S. M., Binder, J. R., Bandettini, P. A., Hammeke, T. A., Yetkin, F. Z., Jesmanowicz, A., Lisk, L. M., Morris, G. L., Mueller, W. M., Estkowski, L. D., et al. (1993) · Neurology · doi:10.1212/wnl.43.11.2311 · Cited by 828
A Model for the Coupling between Cerebral Blood Flow and Oxygen Metabolism during Neural Stimulation
Buxton, R. B., & Frank, L. R. (1997) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199701000-00009 · Cited by 808
&NA; (1994) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199401000-00014 · Cited by 557
Experimental determination of the BOLD field strength dependence in vessels and tissue
Gati, J. S., Menon, R. S., Uǧurbil, K., & Rutt, B. K. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910380220 · Cited by 523
Duncan, A., Meek, J. H., Clemence, M., Elwell, C. E., Fallon, P., Tyszczuk, L., Cope, M., & Delpy, D. T. (1996) · Pediatric Research · doi:10.1203/00006450-199605000-00025 · Cited by 470
The Effect of Normal Aging on the Coupling of Neural Activity to the Bold Hemodynamic Response
D’Esposito, M., Zarahn, E., Aguirre, G. K., & Rypma, B. (1999) · NeuroImage · doi:10.1006/nimg.1999.0444 · Cited by 469
Kleinschmidt, A. K., Obrig, H., Requardt, M., Merboldt, K., Dirnagl, U., Villringer, A., & Frahm, J. (1996) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199609000-00006 · Cited by 458
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Scholkmann, F., Klein, S. D., Gerber, U., Wolf, M., & Wolf, U. (2014) · Journal of Biomedical Optics · doi:10.1117/1.jbo.19.1.017002 · Cited by 31
How Do Drivers Perceive Risks During Automated Driving Scenarios? An fNIRS Neuroimaging Study
Perello-March, J. R., Burns, C. G., Woodman, R., Birrell, S. A., & Elliott, M. T. (2023) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208231185705 · Cited by 31
Reduced Haemodynamic Response in the Ageing Visual Cortex Measured by Absolute fNIRS
Ward, L. M., Aitchison, R. T., Tawse, M., Simmers, A. J., & Shahani, U. (2015) · PLoS ONE · doi:10.1371/journal.pone.0125012 · Cited by 30
Cortical Implication in Lower Voluntary Muscle Force Production in Non-Hypoxemic COPD Patients
Alexandre, F., Héraud, N., Oliver, N., & Varray, A. L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0100961 · Cited by 30
Hrybouski, S., Cribben, I., McGonigle, J., Olsen, F., Carter, R., Seres, P., Madan, C. R., & Malykhin, N. V. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02226-7 · Cited by 28
Claassen, J. A. H. R., Colier, W. N. J. M., & Jansen, R. W. M. M. (2006) · Physiological Measurement · doi:10.1088/0967-3334/27/3/004 · Cited by 29
Self-citationNewman, L., Nolan, H., Carey, D., Reilly, R. B., & Kenny, R. A. (2019) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2019.103988 · Cited by 29
Laughlin, M. H., Davis, M. J., Secher, N. H., LIESHOUT, J. J. V., Arce‐Esquivel, A. A., Simmons, G. H., Bender, S. B., Padilla, J., Bache, R. J., Merkus, D., et al. (2012) · Comprehensive physiology · doi:10.1002/j.2040-4603.2012.tb00398.x · Cited by 28
Applications and advances of combined fMRI-fNIRs techniques in brain functional research
Yang, L., & Wang, Z. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1542075 · Cited by 32
Cerebrovascular hemodynamic correlates of aging in the Lou/c rat: A model of healthy aging
Dubeau, S., Ferland, G., Gaudreau, P., Beaumont, É., & Lesage, F. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.076 · Cited by 32
Febo, M., & Foster, T. C. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00158 · Cited by 28
Carlson, B. W., Craft, M., Carlson, J. R., Razaq, W., Deardeuff, K. K., & Benbrook, D. M. (2018) · GeroScience · doi:10.1007/s11357-018-0025-z · Cited by 30
Cerebral cortical oxygenation changes during OPCAB surgery
Talpahewa, S. P., Ascione, R., Angelini, G. D., & Lovell, A. T. (2003) · The Annals of Thoracic Surgery · doi:10.1016/s0003-4975(03)01072-5 · Cited by 28
Comparing structure–function relationships in brain networks using EEG and fNIRS
Blanco, R., Preti, M. G., Koba, C., Ville, D. V. D., & Crimi, A. (2024) · Scientific Reports · doi:10.1038/s41598-024-79817-x · Cited by 27
Imaging Modalities to Assess Oxygen Status in Glioblastoma
Corroyer‐Dulmont, A., Chakhoyan, A., Collet, S., Durand, L., MacKenzie, E. T., Petit, E., Bernaudin, M., Touzani, O., & Valable, S. (2015) · Frontiers in Medicine · doi:10.3389/fmed.2015.00057 · Cited by 26
Effect of prolonged stimulation on cerebral hemodynamic: A time‐resolved fNIRS study
Butti, M., Contini, D., Molteni, E., Caffini, M., Spinelli, L., Baselli, G., Bianchi, A. M., Cerutti, S., Cubeddu, R., & Torricelli, A. M. (2009) · Medical Physics · doi:10.1118/1.3190557 · Cited by 26
Pu, S., Nakagome, K., Yamada, T., Ikezawa, S., Itakura, M., Satake, T., Ishida, H., Nagata, I., Mogami, T., & Kaneko, K. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.01.031 · Cited by 26
Broadband Diffuse Optical Spectroscopic Imaging
Tromberg, B. J., Cerussi, A. E., Chung, S.-H., Tanamai, W., & Durkin, A. F. (2011) · CRC Press eBooks · doi:10.1201/b10951-13 · Cited by 26
Functional imaging of cerebral perfusion
Krainik, A., Villien, M., Troprés, I., Attyé, A., Lamalle, L., Bouvier, J., Pietras, J., Grand, S., Bas, J. F. L., & Warnking, J. M. (2013) · Diagnostic and Interventional Imaging · doi:10.1016/j.diii.2013.08.004 · Cited by 25
Neuroimaging and cognition using functional near infrared spectroscopy (fNIRS) in multiple sclerosis
Stojanovic-Radic, J., Wylie, G. R., Voelbel, G. T., Chiaravalloti, N. D., & DeLuca, J. (2014) · Brain Imaging and Behavior · doi:10.1007/s11682-014-9307-y · Cited by 25
Ren, X., Lu, J., Liu, X., Shen, C., Zhang, X., Ma, X., Sun, J., Sun, G., Feng, K., Xu, B., et al. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.05.006 · Cited by 25
Modi, H., Singh, H., Yang, G., Darzi, A. W., & Leff, D. R. (2017) · Surgery · doi:10.1016/j.surg.2017.09.002 · Cited by 25
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Son, I.-Y., & Yazıcı, B. (2006) · Kluwer Academic Publishers eBooks · doi:10.1007/1-4020-4295-7_15 · Cited by 25
Ohi, K., Hashimoto, R., Yasuda, Y., Kiribayashi, M., Iike, N., Yoshida, T., Azechi, M., Ikezawa, K., Takahashi, H., Morihara, T., et al. (2009) · Genes Brain & Behavior · doi:10.1111/j.1601-183x.2009.00497.x · Cited by 25
Effects of Cardiorespiratory Fitness on Cerebral Oxygenation in Healthy Adults: A Systematic Review
Salzman, T., Dupuy, O., & Fraser, S. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.838450 · Cited by 26
Mehagnoul‐Schipper, D. J., Colier, W. N. J. M., Hoefnagels, W. H. L., Verheugt, F. W. A., & Jansen, R. W. M. M. (2002) · The American Journal of Cardiology · doi:10.1016/s0002-9149(02)02562-6 · Cited by 24
Self-citationTruijen, J., Rasmussen, L. S., Kim, Y.-S., Stam, J., Stok, W. J., Pott, F. C., & LIESHOUT, J. J. V. (2018) · European Journal of Neurology · doi:10.1111/ene.13737 · Cited by 24
Watters, J. M., & O’Rourke, K. (2001) · Elsevier eBooks · doi:10.1016/b978-012655330-7/50018-6 · Cited by 24
Qiao, M., Rushforth, D., Wang, R., Shaw, R. A., Tomanek, B., Dunn, J. F., & Tuor, U. I. (2006) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600436 · Cited by 23
Kawakubo, Y., Kono, T., Takizawa, R., Kuwabara, H., Ishii‐Takahashi, A., & Kasai, K. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025944 · Cited by 25
Cardiorespiratory fitness and prefrontal cortex oxygenation during Stroop task in older males
Goenarjo, R. A., Dupuy, O., Fraser, S., Berryman, N., Perrochon, A., & Bosquet, L. (2021) · Physiology & Behavior · doi:10.1016/j.physbeh.2021.113621 · Cited by 22
Senanayake, E. L., Komber, M., Nassef, A., Massey, N., & Cooper, G. J. (2012) · Journal of Cardiac Surgery · doi:10.1111/j.1540-8191.2012.01420.x · Cited by 22
Influence of age on the dynamics of fMRI activations during a semantic fluency task
Destrieux, C., Hommet, C., Domengie, F., Boissy, J.-M., de Marco, G., Joanette, Y., Andersson, F., & Cottier, J. (2011) · Journal of Neuroradiology · doi:10.1016/j.neurad.2011.05.005 · Cited by 22
Peters, R., White, D., Cleeland, C., & Scholey, A. B. (2020) · Neuropsychology Review · doi:10.1007/s11065-020-09431-x · Cited by 21
NIRS: Past, Present, and Future in Functional Urology
Koven, A. B., & Herschorn, S. (2022) · Current Bladder Dysfunction Reports · doi:10.1007/s11884-022-00665-4 · Cited by 24
Sui, Y., Kan, C., Zhu, S., Zhang, T., Wang, J., Xu, S., Zhuang, R., Shen, Y., Wang, T., & Guo, C. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.965856 · Cited by 21
Brain atrophy can introduce age‐related differences in BOLD response
Liu, X., Gerraty, R. T., Grinband, J., Parker, D., & Razlighi, Q. R. (2017) · Human Brain Mapping · doi:10.1002/hbm.23597 · Cited by 20
Uehara, T., Fukuda, M., Masahiro, S. U. D. A., Ito, M., Suto, T., Kameyama, M., Yamagishi, Y., & Mikuni, M. (2007) · Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity · doi:10.1007/bf03327596 · Cited by 20
Bai, R., Klaus, A., Bellay, T., Stewart, C. V., Pajevic, S., Nevo, U., Merkle, H., Plenz, D., & Basser, P. J. (2015) · NMR in Biomedicine · doi:10.1002/nbm.3424 · Cited by 20
A noninvasive multimodal technique to monitor brain tumor vascularization
Saxena, V., González-Gómez, I., & Laug, W. E. (2007) · Physics in Medicine and Biology · doi:10.1088/0031-9155/52/17/013 · Cited by 19
Association between social functioning and prefrontal hemodynamic responses in elderly adults
Pu, S., Nakagome, K., Yamada, T., Yokoyama, K., Matsumura, H., Mitani, H., Adachi, A., & Kaneko, K. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.06.052 · Cited by 18
Lian, C., Li, P., Wang, N., Lü, Y., & Shangguan, W. (2020) · Journal of International Medical Research · doi:10.1177/0300060520936868 · Cited by 18
MEASURING CORTICAL ACTIVITY DURING AUDITORY PROCESSING WITH FUNCTIONAL NEAR-INFRARED SPECTROSCOPY
van de Rijt, L. P. H., van Wanrooij, M. M., Snik, A. F. M., Mylanus, E. A. M., Opstal, A. J. V., & Roye, A. (2018) · Journal of Hearing Science · doi:10.17430/1003278 · Cited by 17
Celie, B. M., Boone, J., Smet, J., Vanlander, A. V., Bleecker, J. D., Coster, R. N. V., & Bourgois, J. (2015) · Applied Spectroscopy · doi:10.1366/14-07604 · Cited by 17
di Biase, L., Bonura, A., Caminiti, M. L., Pecoraro, P. M., & Lazzaro, V. D. (2022) · Annals of Medicine · doi:10.1080/07853890.2022.2124448 · Cited by 16
Effect of fMRI acoustic noise on sensorimotor activation examined using optical topography
Fuchino, Y., Sato, H. R., Maki, A., Yamamoto, Y., Katura, T., Obata, A. N., Koizumi, H., & Yoro, T. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.04.197 · Cited by 16
Bewegung, körperliche und geistige Mobilität im Alter
Voelcker‐Rehage, C., Godde, B., & Staudinger, U. M. (2006) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-006-1269-9 · Cited by 19
Biophysical model estimation of neurovascular parameters in a rat model of healthy aging
Dubeau, S., Desjardins, M., Pouliot, P., Beaumont, É., Gaudreau, P., Ferland, G., & Lesage, F. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.030 · Cited by 15
Psychiatric Disorders - Worldwide Advances
Uehara, T. (2011) · InTech eBooks · doi:10.5772/1289 · Cited by 16
Clinical NIRS of the urinary bladder – A demonstration case report
Macnab, A. J., Gagnon, R., & Stothers, L. S. (2005) · Journal of Spectroscopy · doi:10.1155/2005/406262 · Cited by 15
Neary, J. P., Dude, C. M., Singh, J., Len, T. K., & BHAMBHANI, Y. N. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00035 · Cited by 14
Leacy, J. K., Johnson, E. M., Lavoie, L., Macilwraith, D. N., Bambury, M., Martin, J. A., Lucking, E. F., Linares, A. M., Saran, G., Sheehan, D. P., et al. (2022) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00292.2021 · Cited by 14
Newman, L., O’Connor, J. D., Nolan, H., Reilly, R. B., & Kenny, R. A. (2022) · Experimental Gerontology · doi:10.1016/j.exger.2022.111903 · Cited by 14
Zhao, F., Tomita, M., & Dutta, A. (2023) · Brain Sciences · doi:10.3390/brainsci13071099 · Cited by 14
Principles of Multimodal Functional Imaging and Data Integration
Villringer, A., Mulert, C., & Lemieux, L. (2009) · Springer eBooks · doi:10.1007/978-3-540-87919-0_1 · Cited by 14
Using Functional Near Infrared Spectroscopy (fNIRS) to Study Dynamic Stereoscopic Depth Perception
Ward, L. M., Morison, G., Simpson, W. A., Simmers, A. J., & Shahani, U. (2016) · Brain Topography · doi:10.1007/s10548-016-0476-4 · Cited by 14
fNIRS Assessment during Cognitive Tasks in Elderly Patients with Depressive Symptoms
Kang, M. J., Cho, S.-Y., Choi, J., & Yang, Y. (2023) · Brain Sciences · doi:10.3390/brainsci13071054 · Cited by 12
Adams, M. S., Mensink, R. P., & Joris, P. J. (2024) · Nutrition Research Reviews · doi:10.1017/s0954422424000271 · Cited by 12
Caffeine increases the linearity of the visual BOLD response
Liu, T. T., & Liau, J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.040 · Cited by 12
Cerebral tissue pO2 response to stimulation is preserved with age in awake mice
Moeini, M., Lu, X., Bélanger, S., Picard, F., Boas, D. A., Kakkar, A. K., & Lesage, F. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2019.02.007 · Cited by 12
Hemodynamic Changes in the Breast and Frontal Cortex of Mothers During Breastfeeding
Tanimoto, K., Kusaka, T., Nishida, T., Ogawa, K., Kato, I., Ijichi, S., Mikami, J., Sobue, I., Isobe, K., & Itoh, S. (2011) · Pediatric Research · doi:10.1203/pdr.0b013e31822a363a · Cited by 11
The neural–vascular basis of age‐related processing speed decline
Zhao, Y., Liu, P., Turner, M. P., Abdelkarim, D., Lu, H., & Bart Rypma, A. (2021) · Psychophysiology · doi:10.1111/psyp.13845 · Cited by 11
Rezende, C., de Oliveira, G. V., Volino‐Souza, M., Castro, P., Murias, J. M., & Álvares, T. S. (2021) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2021.1972411 · Cited by 11
Vascular correlates of aging in the brain: Evidence from imaging data
Desjardins, M. (2015) · IRBM · doi:10.1016/j.irbm.2015.01.016 · Cited by 11
Exploratory Analysis of Cerebral Oxygen Reserves During Sleep Onset in Older and Younger Adults
Carlson, B. W., Neelon, V. J., Carlson, J. R., Hartman, M., & Dogra, S. (2008) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2008.01672.x · Cited by 10
Fronto-temporal mapping and connectivity using NIRS for language-related paradigms
Hall, M., Chaudhary, U., Rey, G., & Godavarty, A. (2012) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2012.06.002 · Cited by 11
Surface-based integration approach for fNIRS-fMRI reliability assessment
Bonilauri, A., Pirastru, A., Intra, F. S., Isernia, S., Cazzoli, M., Blasi, V., Baselli, G., & Baglio, F. (2023) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2023.109952 · Cited by 10
Akiyama, T., Ohira, T., Kato, T., Toda, Y., Orii, M., Hiraga, K., Fukunaga, A., Kobayashi, M., Onozuka, S., & Kawase, T. (2005) · Cerebrovascular Diseases · doi:10.1159/000087934 · Cited by 9
Relationship between Handgrip Sustained Submaximal Exercise and Prefrontal Cortex Oxygenation
Mottola, L., Crisostomi, S., Ferrari, M., & Quaresima, V. (2006) · Springer eBooks · doi:10.1007/0-387-29540-2_48 · Cited by 9
Bastien, D., Gallagher, A., Tremblay, J., Vannasing, P., Thériault, M., Lassonde, M. C., & Leporé, F. (2011) · Brain Research · doi:10.1016/j.brainres.2011.11.008 · Cited by 8
Helmich, I., Holle, H., Rein, R., & Lausberg, H. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.03.001 · Cited by 9
Orive-Miguel, D., Sieno, L. D., Behera, A., Ferocino, E., Contini, D., Condat, L., Hervé, L., Mars, J. I., Torricelli, A. M., Pifferi, A., et al. (2020) · Sensors · doi:10.3390/s20102815 · Cited by 9
Weiss, A. P., Duff, M., Roffman, J. L., Rauch, S. L., & Strangman, G. E. (2008) · Neuroreport · doi:10.1097/wnr.0b013e3282f4aa2a · Cited by 9
Dahn, J., Eckert, S., Oster, M., Süselbeck, T., Ellinger, K., van Ackern, K., Daffertshofer, M., & Segiet, W. (2003) · Der Anaesthesist · doi:10.1007/s00101-003-0499-6 · Cited by 9
Cerebrovascular Disease and Patterns of Cerebral Oxygenation During Sleep in Elders
Carlson, B. W., Neelon, V. J., Carlson, J. R., Hartman, M., & Dogra, S. (2009) · Biological Research For Nursing · doi:10.1177/1099800408330396 · Cited by 8
Pu, S., Nakagome, K., Itakura, M., Yamanashi, T., Sugie, T., Miura, A., Satake, T., Iwata, M., Nagata, I., & Kaneko, K. (2015) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2015.09.008 · Cited by 8
Diamond, B. J., & Shreve, G. M. (2010) · Cited by 8
Near infrared spectroscopy: finding utility in malignant hemispheric stroke
Carandang, R. A., & Krieger, D. W. (2007) · Neurocritical Care · doi:10.1007/s12028-007-0023-y · Cited by 8
Noninvasive photoacoustic computed tomography of mouse brain metabolismin vivo
Yao, J., Xia, J., Maslov, K., Avanaki, K., Tsytsarev, V., Demchenko, A. V., & Wang, L. V. (2013) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2005645 · Cited by 7
He, J.-W., Tian, F., Liu, H., & Peng, Y. B. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00050.2011 · Cited by 6
Kawai, N., & Nakata, R. (2022) · Behavioural Brain Research · doi:10.1016/j.bbr.2022.113976 · Cited by 6
Mehagnoul‐Schipper, D. J., Vloet, L. C. M., Colier, W. N. J. M., Hoefnagels, W. H. L., Verheugt, F. W. A., & Jansen, R. W. M. M. (2003) · Clinical Physiology and Functional Imaging · doi:10.1046/j.1475-097x.2003.00477.x · Cited by 6
Self-citationCoben, R. M., & Myers, T. E. (2009) · Journal of Attention Disorders · doi:10.1177/1087054708329778 · Cited by 6
Vasta, R., Cerasa, A., Gramigna, V., Augimeri, A., Olivadese, G., Pellegrino, G., Martino, I., Machado, A., Cai, Z., Caracciolo, M., et al. (2016) · Aging Clinical and Experimental Research · doi:10.1007/s40520-016-0566-x · Cited by 6
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Shuvra, L. T., Islam, S. M. R., Zaman, N., & Hasan, M. A. (2019) · International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) · doi:10.1109/icrest.2019.8644087 · Cited by 5
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SPECTRAL IMAGING IN THE EVALUATION OF THE CHLOROPHYLL CONTENT IN WHEAT
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Functional Near-Infrared Spectroscopy
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Metadata
- Authors
- Mehagnoul‐Schipper, D. J., van der Kallen, B. F. W., Colier, W. N. J. M., van der Sluijs, M. C., van Erning, L. J. T. O., Thijssen, H. O. M., Oeseburg, B., Hoefnagels, W. H. L., & Jansen, R. W. M. M.
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2002-01-30
- Volume
- 16
- Issue
- 1
- Pages
- 14-23
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6871837
- OpenAlex
- W2038514443
- Cited by
- 264
- References
- 38
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 9 · 2023: 6 · 2022: 12 · 2021: 10 · 2020: 7 · 2019: 6 · 2018: 10 · 2017: 10 · 2016: 7 · 2015: 14 · 2014: 11 · 2013: 14 · 2012: 16
- FWCI
- 12.62
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Keywords
- near-infrared spectroscopy, functional MRI, cerebral oxygenation, deoxyhemoglobin, aging, motor cortex activation, finger tapping, BOLD signal, method comparison, cortical activation, elderly subjects
- MeSH terms
- Adult, Aged, Cerebrovascular Circulation, Female, Fingers, Humans, Functional Laterality, Magnetic Resonance Imaging, Male, Motor Cortex, Movement, Oxygen Consumption, Predictive Value of Tests, Psychomotor Performance, Time Factors, Reproducibility of Results, 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 ›
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