Cited by 264Optical Imaging and Spectroscopy TechniquesAdvanced MRI Techniques and ApplicationsSpectroscopy Techniques in Biomedical and Chemical Research

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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

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Mehagnoul‐Schipper, D. Jannet, van der Kallen, Bas F.W., Colier, Willy N.J.M., van der Sluijs, Marco C., van Erning, Leon J.Th.O., Thijssen, Henk O.M., Oeseburg, Berend, Hoefnagels, Willibrord H.L., Jansen, René W.M.M.·2002·Human Brain Mapping

DOI 10.1002/hbm.10026PMC PMC6871837

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Abstract

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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&NA; (1994) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199401000-00014 · Cited by 557
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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.
ORCID: Colier, Willy N.J.M.
Jansen, René 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
DOI: 10.1002/hbm.10026
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
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
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

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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

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