The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“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
Citations
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
Cited by
Sorted by citations
Items 201–262 of 262
Impact of “noncaloric” activity-related factors on the predisposition to obesity in children
Tremblay, A. (2010) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s7986 · Cited by 3
Al-Rawi, P. G., & Kirkpatrick, P. J. (2013) · Elsevier eBooks · doi:10.1016/b978-1-4377-0167-8.00033-9 · Cited by 3
Cortical tinnitus evaluation using functional near-infrared spectroscopy
Martins, M. L., Morya, E., de Lima, L. K. A., de Vasconcelos, I. C., Balen, S. A., Machado, D. G. D. S., & da Rosa, M. R. D. (2025) · Brain Research · doi:10.1016/j.brainres.2025.149561 · Cited by 2
Cheng, P.-Y., Chieh, H., Lin, C.-J., Hsu, H., Chen, J.-J. J., Kuo, L., & Su, F. (2019) · Journal of Aging and Physical Activity · doi:10.1123/japa.2018-0252 · Cited by 2
Principles of Multimodal Functional Imaging and Data Integration
Villringer, A., Mulert, C., & Lemieux, L. (2022) · Springer eBooks · doi:10.1007/978-3-031-07121-8_1 · Cited by 2
A Systematic Review of Cortical Excitability during Dual-Task in Post-Stroke Patients
Jung, S., & An, C.-S. (2024) · Physical therapy rehabilitation science · doi:10.14474/ptrs.2024.13.2.213 · Cited by 2
Zanca, J. M. (2006) · D-Scholarship@Pitt (University of Pittsburgh) · Cited by 2
Bipolar mood tendency and frontal activation using a multichannel near infrared spectroscopy
Uehara, T., & Ishige, Y. (2015) · Mental Illness · doi:10.4081/mi.2015.5767 · Cited by 2
Temporal Mapping and Connectivity Using NIRS for Language-Related Tasks
Hall, M., Chaudhary, U., Rey, G. J. F. D., & Godavarty, A. (2012) · Biomedical Optics and 3-D Imaging · doi:10.1364/biomed.2012.btu3a.58 · Cited by 2
Functional MRI Studies of Memory in Aging, Mild Cognitive Impairment, and Alzheimer’s Disease
Zhu, J. K., Risacher, S. L., Wishart, H. A., & Saykin, A. J. (2023) · Springer eBooks · doi:10.1007/978-3-031-10909-6_30 · Cited by 2
The Effects of Cranial Cryotherapy on Hemodynamics and Cognition in Healthy Adults
Lempke, L. B., Fraser, J. J., Erdman, N. K., Barone, N. A., SALIBA, S. A., & Resch, J. E. (2020) · Translational Journal of the American College of Sports Medicine · doi:10.1249/tjx.0000000000000124 · Cited by 2
A new look at working memory deficits in schizophrenia.
Lee, J. (2005) · Cited by 2
Gender Differences in Frontal Activation While Perceiving Pathologically Thin Female Body Forms
Uehara, T., Ishige, Y., Suda, M., & Sachdev, P. S. (2011) · Journal of Behavioral and Brain Science · doi:10.4236/jbbs.2011.13014 · Cited by 2
Behzadi, Y. (2006) · eScholarship (California Digital Library) · Cited by 2
Spontaneous blood oxygen fluctuation in awake and sedated brain cortex – a BOLD fMRI study
Vesa, K. (2004) · Cited by 2
Development of signal processing for the broadband near infrared spectroscopy
Schelkanova, I. (2021) · doi:10.32920/ryerson.14664891.v1 · Cited by 2
Wang, L., van Poelgeest, E. P., Klop, M., Claassen, J. A. H. R., Hoekstra, A. G., & van der Velde, N. (2026) · European Geriatric Medicine · doi:10.1007/s41999-026-01538-3 · Cited by 1
fMRI of Memory in Aging and Dementia
Saykin, A. J., & Wishart, H. A. (2010) · Springer eBooks · doi:10.1007/978-1-4419-1329-6_7 · Cited by 1
The Scalp Confounds Near-Infrared Signal from Rat Brain Following Innocuous and Noxious Stimulation
He, J.-W., Liu, H., & Peng, Y. B. (2015) · Brain Sciences · doi:10.3390/brainsci5040387 · Cited by 1
fMRI of Memory in Aging and Dementia
Saykin, A. J., & Wishart, H. A. (2006) · Springer eBooks · doi:10.1007/0-387-34665-1_9 · Cited by 1
Martins, M. L., Miranda, A. C., Machado, D. G. D. S., de Freitas, T. M. M. W. C., & da Rosa, M. R. D. (2025) · RECIMA21 - Revista Científica Multidisciplinar · doi:10.47820/recima21.v6i5.6398 · Cited by 1
Su, L., Xu, S., Huang, Y. X., Wu, Q., & Hou, Z. W. (2021) · Review of Scientific Instruments · doi:10.1063/5.0067878 · Cited by 1
Bipolar mood tendency and frontal activation using a multichannel near infrared spectroscopy
Uehara, T., & Ishige, Y. (2015) · Mental Illness · doi:10.1108/mi.2015.5767 · Cited by 1
Thoracic Aortic Surgery : Epidemiology, Outcomes, and Prevention of Cerebral Complications
Olsson, C. (2006) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 1
Haux, D. (2007) · Universitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver · doi:10.17169/refubium-13881 · Cited by 1
Functional Brain Imaging of Cerebrovascular Disease
Cohen, R. A., Sweet, L. H., Tate, D. F., & Fisher, M. (2005) · Humana Press eBooks · doi:10.1385/1-59259-824-2:181 · Cited by 1
Zechner, S. (2005) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-49457 · Cited by 1
Blanco, R., Preti, M. G., Koba, C., Ville, D. V. D., & Crimi, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.27.591444 · Cited by 1
Dissociative Tendency, Anger Expression, and Frontal Activation During a Verbal Fluency Task
Uehara, T., Ishige, Y., & Su, M. (2011) · InTech eBooks · doi:10.5772/26312 · Cited by 1
Spichtig, S., Piccirelli, M., Vorburger, R. S., & Wolf, M. (2011) · Journal of Innovative Optical Health Sciences · doi:10.1142/s1793545811001472
Diffuse Optical Measurements of Oxygen Metabolism in Human Brain during Sensorimotor Stimulus
Durduran, T., Yu, G., Burnett, M. G., Zhou, C., Detre, J. A., Greenberg, J. H., & Yodh, A. G. (2004) · Biomedical Topical Meeting · doi:10.1364/bio.2004.we4
Nissila, I. T., Stufflebeam, S. M., Diamond, S. G., Huppert, T. J., Hämäläinen, M., & Franceschini, M. A. (2006) · Biomedical optics · doi:10.1364/bio.2006.sc6
Asymmetry brain function in auditory cortex: A functional near-infrared spectroscopy study
Santosa, H., & Hong, K. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6609867
Imagerie fonctionnelle de la perfusion cérébrale
Krainik, A., Villien, M., Troprés, I., Attyé, A., Lamalle, L., Bouvier, J., Pietras, J., Grand, S., Bas, J. F. L., & Warnking, J. M. (2013) · Journal de radiologie diagnostique et interventionnelle · doi:10.1016/j.jradio.2013.04.015
Saccade inhibition in schizophrenia : towards phenotyping based on brain function
Raemaekers, M. A. H. (2006) · Utrecht University Repository (Utrecht University)
München, L.-M.-U., & Möller, H. (2007)
Progress of Neuroradiology in 21st Century.
Kaminaga, T. (2003) · リハビリテーション医学 : 日本リハビリテーション医学会誌 · doi:10.2490/jjrm1963.40.28
Nascent Access Technologies for Individuals with Severe Motor Impairments
Power, S., Moghimi, S., Nhan, B., & Chau, T. T. (2013) · IGI Global eBooks · doi:10.4018/978-1-4666-4422-9.ch036
Segregated and integrated hemispheric processes in vision and movement
Chiang, T.-C. (2006) · Doctoral thesis, University of London.
Braasch, M. Y. (2010) · OhioLink ETD Center (Ohio Library and Information Network)
Le travail mental exigeant : caractérisation des effets biologiques et comportementaux
Pérusse-Lachance, É. (2012) · Corpus Université Laval (Université Laval)
Diffuse Optical Tomography and Biophysical Modeling of the Aging Brain
Lesage, F., Bonnéry, C., & Pouliot, P. (2012) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-642-32183-2_63
Pegoraro, R. (2017) · Queensland University of Technology · doi:10.5204/thesis.eprints.111054
Wiedemann, D., Stelzmüller, M., Mahr, S., Fuchs, J., Laufer, G., & Ehrlich, M. P. (2014) · Springer eBooks · doi:10.1007/978-1-4471-5622-2_25
Affective influences on top-down visual attention
Bendall, R. (2021) · University of Salford Institutional Repository (University of Salford)
(2002) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.580
Current Awareness in NMR in Biomedicine
(2002) · NMR in Biomedicine · doi:10.1002/nbm.751
Functional MRI Studies of Memory in Aging, Mild Cognitive Impairment, and Alzheimer’s Disease
Risacher, S. L., Wishart, H. A., & Saykin, A. J. (2014) · Springer eBooks · doi:10.1007/978-1-4939-1995-6_10
Nascent Access Technologies for Individuals with Severe Motor Impairments
Power, S., Moghimi, S., Nhan, B., & Chau, T. T. (2011) · IGI Global eBooks · doi:10.4018/978-1-60566-206-0.ch002
A Systematic Review of Cortical Excitability during Dual-Task in Post-Stroke Patients
Jung, S., & An, C.-S. (2024) · Physical therapy rehabilitation science · doi:10.14474/ptrs.2024.13.2.71
Bérubé, B., Boidin, M., Gayda, M., Vincent, T. L., Tremblay, J., Juneau, M., Nigam, A., Karelis, A. D., & Bherer, L. (2025) · Physiological Reports · doi:10.14814/phy2.70211
Kim, D., & Wadazumi, T. (2025) · Nutrients · doi:10.3390/nu17172780
Cortical plasticity following short auditory training: A functional near-infrared spectroscopy study
Bracha, S., & Zaltz, Y. (2026) · The Journal of the Acoustical Society of America · doi:10.1121/10.0042353
Sun, H., Xing, H., Hu, K., Wu, Z., & Wu, J. (2026) · Frontiers in Rehabilitation Sciences · doi:10.3389/fresc.2026.1851559
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 ›
Are you an author, or do you see a problem with this page? Request a review