Cited by 341Advanced MRI Techniques and ApplicationsDementia and Cognitive Impairment ResearchFunctional Brain Connectivity Studies

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Regional cerebral blood flow and oxygen consumption in human aging

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Pantano, P, Baron, J C, Lebrun-Grandié, P, Duquesnoy, N, Bousser, M G, Comar, D·1984·Stroke

DOI 10.1161/01.str.15.4.635

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Abstract

The oxygen-15 continuous inhalation technique and PET were used to study the age-related changes in regional CBF and CMRO2. Twenty-seven patients, aged 19 to 76 years, free of any history of cerebral disease and vascular risk factors were examined in "resting state." CBF, CMRO2 and oxygen extraction fraction (OEF) values were calculated in seven different brain structures as well as in mean gray matter. Left-right ratios were also computed for all symmetrical structures analyzed. Mean gray CBF, but not mean gray CMRO2, decreased linearly with age (p less than 0.02). However, when younger subjects (less than or equal to 50 yrs) were compared to older subjects (greater than 50 yrs), an age-related matched decrease in CBF and CMRO2 was observed in mean gray matter (18% and 17%, p less than 0.05) and in all gray matter regions analyzed, particularly in frontal, temporo-sylvian and parieto-occipital cortex. White matter CBF and CMRO2 remained remarkably stable with advancing age. Although the possibility of methodological artifacts was considered, we favor progressive loss of cortical neurones and/or diminished activity of those remaining to explain our findings. In addition, age-related changes in cognitive activities might also be involved.

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Quantitative Measurement of Regional Cerebral Blood Flow and Oxygen Metabolism in Man Using 15O and Positron Emission Tomography
Frackowiak, R. S. J., Lenzi, G.-L., Jones, T., & Heather, J. D. (1980) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-198012000-00001 · Cited by 1,241
Quantitation in Positron Emission Computed Tomography
Hoffman, E. J., Huang, S., & Phelps, M. E. (1979) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-197906000-00001 · Cited by 1,145
Organization of the cerebral cortex. III. A study of aging in the human cerebral cortex
Brody, H. (1955) · The Journal of Comparative Neurology · doi:10.1002/cne.901020206 · Cited by 630
Effects of Human Aging on Patterns of Local Cerebral Glucose Utilization Determined by the [ 18 F] Fluorodeoxyglucose Method
Kuhl, D. E., Metter, E. J., Riege, W. H., & Phelps, M. E. (1982) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1982.15 · Cited by 338
Human cerebral blood flow and oxygen consumption as related to aging
Kety, S. S. (1956) · Journal of Chronic Diseases · doi:10.1016/0021-9681(56)90146-1 · Cited by 331
“Hyperfrontal” distribution of the cerebral grey matter flow in resting wakefulness; on the functional anatomy of the conscious state
Ingvar, D. H. (2009) · Acta Neurologica Scandinavica · doi:10.1111/j.1600-0404.1979.tb02947.x · Cited by 322
Measurements of the normal ventricular system and hemispheric sulci of 100 adults with computed tomography
Gyldensted, C. (1977) · Neuroradiology · doi:10.1007/bf00496982 · Cited by 280
Reduction in regional cerebral blood flow during normal aging in man.
Melamed, E., LAVY, S., Shlomo Bentin, A., Cooper, G., & Rinot, Y. (1980) · Stroke · doi:10.1161/01.str.11.1.31 · Cited by 274
Differences in the Distribution of Gray and White Matter in Human Cerebral Hemispheres
Gur, R. C., Packer, I. K., Hungerbühler, J. P., Reivich, M., Obrist, W. D., Amarnek, W. S., & Sackeïm, H. A. (1980) · Science · doi:10.1126/science.7355287 · Cited by 273
Cell counts in human cerebral cortex in normal adults throughout life using an image analysing computer
Henderson, G., Tomlinson, B. E., & Gibson, P. H. (1980) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(80)90048-9 · Cited by 264

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Items 101–200 of 341

Physical Activity Predicts Microstructural Integrity in Memory-Related Networks in Very Old Adults
Tian, Q., Erickson, K. I., Simonsick, E. M., Aizenstein, H. J., Glynn, N. W., Boudreau, R. M., Newman, A. B., Kritchevsky, S. B., Yaffe, K. S., Harris, T. B., et al. (2014) · The Journals of Gerontology Series A · doi:10.1093/gerona/glt287 · Cited by 78
Interference effects from divided attention during retrieval in younger and older adults.
Fernandes, M. A., & Moscovitch, M. (2003) · Psychology and Aging · doi:10.1037/0882-7974.18.2.219 · Cited by 69
Increased cortical activation during hearing of speech in cochlear implant users
Naito, Y., Tateya, I., Fujiki, N., Hirano, S., Ishizu, K., Nagahama, Y., Fukuyama, H., & Kojima, H. (2000) · Hearing Research · doi:10.1016/s0378-5955(00)00035-6 · Cited by 69
Hemodynamic Effects of Carotid Endarterectomy by Magnetic Resonance Flow Quantification
Vanninen, R. L., Koivisto, K. J., Tulla, H. E., Manninen, H. I., & Partanen, K. P. L. (1995) · Stroke · doi:10.1161/01.str.26.1.84 · Cited by 69
Regional cerebral blood flow abnormalities in late‐life depression:Relation to refractoriness and chronification
Awata, S., Ito, H., Konno, M., Ono, S., Kawashima, R., Fukuda, H., & SATO, A. M. (1998) · Psychiatry and Clinical Neurosciences · doi:10.1111/j.1440-1819.1998.tb00980.x · Cited by 67
An endothelial link between the benefits of physical exercise in dementia
Trigiani, L. J., & Hamel, É. (2017) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x17714655 · Cited by 69
The aging brain and cerebrovascular reactivity
McKetton, L., Sobczyk, O., Duffin, J., Poublanc, J., Sam, K., Crawley, A. P., Venkatraghavan, L., Fisher, J. A., & Mikulis, D. J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.007 · Cited by 64
Clinical studies in Alzheimer patients with positron emission tomography
Nordberg, A. K. (1993) · Behavioural Brain Research · doi:10.1016/0166-4328(93)90138-g · Cited by 66
An investigation of cerebral oxygen utilization, blood flow and cognition in healthy aging
Catchlove, S. J., Macpherson, H., Hughes, M. E., Chen, Y. J., Parrish, T. B., & Pipingas, A. (2018) · PLoS ONE · doi:10.1371/journal.pone.0197055 · Cited by 65
Normal patterns on 99mTc-ECD brain SPECT scans in adults.
Tanaka, F., Vines, D. C., Tsuchida, T., Freedman, M., & Ichise, M. (2000) · PubMed · Cited by 64
I: Longitudinal changes in aging brain function
Beason-Held, L. L., Kraut, M. A., & Resnick, S. M. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.10.031 · Cited by 63
Cerebrovascular MRI: a review of state‐of‐the‐art approaches, methods and techniques
MacDonald, M. E., & Frayne, R. (2015) · NMR in Biomedicine · doi:10.1002/nbm.3322 · Cited by 63
Doppler sonography evaluation of flow velocity and volume of the extracranial internal carotid and vertebral arteries in healthy adults
Albayrak, R., Değirmenci, B., Acar, M., Haktanır, A., Çölbay, M., & Yaman, M. (2006) · Journal of Clinical Ultrasound · doi:10.1002/jcu.20301 · Cited by 63
In Vivo Evaluation of Quantitative MR Angiography in a Canine Carotid Artery Stenosis Model
Calderon‐Arnulphi, M., Amin‐Hanjani, S., Alaraj, A. M., Zhao, M., Du, X., Ruland, S. D., Zhou, X. J., Thulborn, K. R., & Charbel, F. T. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2546 · Cited by 61
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Zhang, N., Gordon, M. L., Ma, Y., Chi, B., Gomar, J. J., Peng, S., Kingsley, P. B., Eidelberg, D., & Goldberg, T. E. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00214 · Cited by 65
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Li, X., Spence, J. S., Buhner, D. M., Hart, J., Cullum, C. M., Biggs, M. M., Hester, A. L., Odegard, T. N., Carmack, P. S., Briggs, R. W., et al. (2011) · Radiology · doi:10.1148/radiol.11101715 · Cited by 62
Aging-related differences in cerebral capillary blood flow in anesthetized rats
Desjardins, M., Berti, R., Lefebvre, J., Dubeau, S., & Lesage, F. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.01.136 · Cited by 61
Influence of partial volume on venous output and arterial input function.
van der Schaaf, I. C., Vonken, E.-J., Waaijer, A., Velthuis, B. K., Quist, M. J., & van Osch, T. (2006) · PubMed Central · Cited by 60
fMRI activation during episodic encoding and metacognitive appraisal across the lifespan: Risk factors for Alzheimer's disease
Trivedi, M. A., Schmitz, T. W., Ries, M. L., Hess, T., Fitzgerald, M. E., Atwood, C., Rowley, H. A., Asthana, S., Sager, M. A., & Johnson, S. C. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.11.035 · Cited by 62
Regional cerebral blood flow measurement with iodine-123-IMP autoradiography: normal values, reproducibility and sensitivity to hypoperfusion.
Hatazawa, J., Iida, H., Shimosegawa, E., Sato, T., Murakami, M., & Miura, Y. (1997) · PubMed · Cited by 60
Predictors of cerebral blood flow in patients with and without anemia
Borzage, M., Bush, A., Choi, S., Nederveen, A. J., Václavů, L., Coates, T. D., & Wood, J. C. (2016) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00994.2015 · Cited by 56
Cerebral oxygen metabolism from MRI susceptibility
Biondetti, E., Cho, J., & Lee, H. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120189 · Cited by 55
Cerebral Perfusion Enhancing Interventions: A New Strategy for the Prevention of Alzheimer Dementia
de la Torre, J. C. (2016) · Brain Pathology · doi:10.1111/bpa.12405 · Cited by 58
No flow through the vitreous humor: How strong is the evidence?
Smith, D. W., Lee, C. J., & Gardiner, B. S. (2020) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2020.100845 · Cited by 54
Vascular Risk Factors
de la Torre, J. C. (2013) · American Journal of Alzheimer s Disease & Other Dementias® · doi:10.1177/1533317513494457 · Cited by 58
Treating cognitive impairment with transcranial low level laser therapy
de la Torre, J. C. (2017) · Journal of Photochemistry and Photobiology B Biology · doi:10.1016/j.jphotobiol.2017.02.008 · Cited by 54
Relation of measured brain glucose utilisation and cerebral atrophy in man.
Schlageter, N. L., Horwitz, B., Creasey, H. M., Carson, R. E., Duara, R., BERG, G. W., & Рапопорт, С. И. (1987) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.50.6.779 · Cited by 52
The impact of age on cerebral perfusion, oxygenation and metabolism during exercise in humans
Bráz, I. D., & Fisher, J. P. (2015) · The Journal of Physiology · doi:10.1113/jp271081 · Cited by 55
Effects of aging on language-activated cerebral blood oxygenation changes of the left prefrontal cortex: Near infrared spectroscopy study
Sakatani, K., Lichty, W., Xie, Y., Li, S., & Zuo, H. (1999) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/s1052-3057(99)80047-0 · Cited by 49
Age-related changes in brain perfusion of normal subjects detected by 99m Tc-HMPAO SPECT
Krausz, Y., Bonne, O. B., Gorfine, M., Karger, H., Lerer, B., & Chisin, R. (1998) · Neuroradiology · doi:10.1007/s002340050617 · Cited by 51
Pulsed arterial spin labeling parameter optimization for an elderly population
Campbell, A. M., & Beaulieu, C. (2006) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20503 · Cited by 50
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Sobesky, J. (2012) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2012.54 · Cited by 50
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Carroll, T. J., Horowitz, S., Shin, W., Mouannes, J. J., Sawlani, R. N., Saad, A., Raizer, J. J., & Futterer, S. F. (2008) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2008.04.010 · Cited by 50
Structural and Functional Imaging Correlates for Age-Related Changes in the Brain
Tumeh, P. C., Alavi, A. A., Houseni, M., Greenfield, A. L., Chryssikos, T. J., Newberg, A. B., Torigian, D. A., & Moonis, G. (2007) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2006.10.002 · Cited by 51
Human brain glucose metabolism may evolve during activation: Findings from a modified FDG PET paradigm
Vlassenko, A. G., Rundle, M. M., & Mintun, M. A. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.06.065 · Cited by 47
Frontal lobe phosphorus metabolism and neuropsychological function in aging and in alzheimer's disease
Smith, C. D., Pettigrew, L. C., Avison, M. J., KIRSCH, J. E., Tinkhtman, A. J., Schmitt, F. A., Wermeling, D. P., Wekstein, D. R., & Markesbery, W. R. (1995) · Annals of Neurology · doi:10.1002/ana.410380211 · Cited by 47
Age-Related Changes of Cerebral Autoregulation: New Insights with Quantitative T2′-Mapping and Pulsed Arterial Spin-Labeling MR Imaging
Wagner, M., Jurcoane, A., Volz, S., Magerkurth, J., Zanella, F., Neumann‐Haefelin, T., Deichmann, R., Singer, O. C., & Hattingen, E. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3138 · Cited by 46
Reduced regional cerebral blood flow in aged noninsulin-dependent diabetic patients with no history of cerebrovascular disease: Evaluation by N-lsopropyl-123I-p-iodoamphetamine with single-photon emission computed tomography
Wakisaka, M., Nagamachi, S., Inoue, K., Morotomi, Y., Nunoi, K., & Fujishima, M. (1990) · Journal of Diabetes and its Complications · doi:10.1016/0891-6632(90)90017-y · Cited by 46
Age-related changes of glutathione content, glucose transport and metabolism, and mitochondrial electron transfer function in mouse brain
Sasaki, T., Senda, M., Kim, S.-N., Kojima, S., & Kubodera, A. (2001) · Nuclear Medicine and Biology · doi:10.1016/s0969-8051(00)00180-3 · Cited by 46
Age-Related Changes in Brain Glucose Metabolism in Adults With Attention-Deficit/Hyperactivity Disorder and Control Subjects
Monique Ernst, D., Zametkin, A. J., Phillips, R. L., & Cohen, R. M. (1998) · Journal of Neuropsychiatry · doi:10.1176/jnp.10.2.168 · Cited by 46
Learning face-name associations and the effect of age and performance: a PET activation study
Herholz, K., Ehlen, P., Kessler, J., Strotmann, T., Kalbe, E., & Markowitsch, H.-J. (2001) · Neuropsychologia · doi:10.1016/s0028-3932(00)00144-5 · Cited by 45
(133)Xe SPECT cerebral blood flow study in a healthy population: determination of T-scores.
Slosman, D. O., Chicherio, C., Ludwig, C., Genton, L., de Ribaupierre, S., Hans, D. B., Pichard, C., Mayer, E., Annoni, J., & Ribaupierre, A. D. (2001) · PubMed · Cited by 44
Cerebral blood flow and gray matter volume covariance patterns of cognition in aging
Steffener, J., Brickman, A. M., Habeck, C. G., Salthouse, T. A., & Stern, Y. (2012) · Human Brain Mapping · doi:10.1002/hbm.22142 · Cited by 44
Influence of aging on cortical activity associated with a visuo-motor task
Labyt, É., Szurhaj, W., Bourriez, J. L., Cassim, F., Defebvre, L., Destée, A., & Derambure, P. (2003) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2003.08.010 · Cited by 43
Regional cerebral blood flow during acute hypoxia in individuals susceptible to acute mountain sickness
Dyer, E., Hopkins, S. R., Perthen, J. E., Buxton, R. B., & Dubowitz, D. J. (2007) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2007.10.010 · Cited by 42
Dynamic contrast-enhanced T2 * -weighted MRI in patients with cerebrovascular disease
Reith, W., Heiland, S., Erb, G., Benner, T., Forsting, M., & Sartor, K. J. (1997) · Neuroradiology · doi:10.1007/s002340050403 · Cited by 42
Cerebral Hemodynamics in the Elderly
Yang, D., Cabral, D., Gaspard, E. N., Lipton, R. B., Rundek, T., & Derby, C. A. (2016) · Journal of Ultrasound in Medicine · doi:10.7863/ultra.15.10040 · Cited by 41
Regional differences between 99m Tc-ECD and 99m Tc-HMPAO SPET in perfusion changes with age and gender in healthy adults
Inoue, K., Nakagawa, M., Goto, R., Kinomura, S., Sato, T., Sato, K., & Fukuda, H. (2003) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-003-1234-x · Cited by 41
Childhood Moyamoya: Looking Back to the Future
Dlamini, N., Muthusami, P., & Amlie‐Lefond, C. (2018) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2018.10.006 · Cited by 40
PET in Cerebrovascular Disease
Powers, W. J., & Zazulia, A. R. (2010) · PET Clinics · doi:10.1016/j.cpet.2009.12.007 · Cited by 38
A comparative assessment of cerebral haemodynamics in the basilar artery and carotid territory by transcranial Doppler sonography in normal subjects
Müller, M., & Schimrigk, К. (1994) · Ultrasound in Medicine & Biology · doi:10.1016/0301-5629(94)90025-6 · Cited by 39
Positron Emission Tomography and Neuropsychological Function
Pawlik, G., & Heiss, W. (1989) · Critical issues in neuropsychology · doi:10.1007/978-1-4899-2534-3_4 · Cited by 39
Energy, oxidative damage, and Alzheimer's disease: Clues to the underlying puzzle
Beal, M. F. (1994) · Neurobiology of Aging · doi:10.1016/0197-4580(94)90198-8 · Cited by 38
Regional patterns of human cortex development correlate with underlying neurobiology
Lotter, L. D., Saberi, A., Hansen, J. Y., Mišić, B., Paquola, C., Barker, G. J., Bokde, A. L. W., Desrivières, S., Flor, H., Grigis, A., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-52366-7 · Cited by 46
Influence of age on syncope following prolonged exercise: differential responses but similar orthostatic intolerance
Murrell, C., Cotter, J. D., George, K., Shave, R., Wilson, L. C., Thomas, K. N., Williams, M. J. A., Lowe, T., & Ainslie, P. N. (2009) · The Journal of Physiology · doi:10.1113/jphysiol.2009.179549 · Cited by 38
Cerebral time domain-NIRS: reproducibility analysis, optical properties, hemoglobin species and tissue oxygen saturation in a cohort of adult subjects
Giacalone, G., Zanoletti, M., Contini, D., Re, R., Spinelli, L., Roveri, L., & Torricelli, A. M. (2017) · Biomedical Optics Express · doi:10.1364/boe.8.004987 · Cited by 38
Resting hypofrontality in schizophrenia: A study using near-infrared time-resolved spectroscopy
Hoshi, Y., Shinba, T., Sato, C., & Doi, N. (2006) · Schizophrenia Research · doi:10.1016/j.schres.2006.03.010 · Cited by 38
Functional brain imaging and aging in schizophrenia
Buchsbaum, M. S., & Hazlett, E. A. (1997) · Schizophrenia Research · doi:10.1016/s0920-9964(97)00076-5 · Cited by 38
A multicenter measurement of magnetization transfer ratio in normal white matter
Berry, I., Barker, G. J., Barkhof, F., Campi, A., Dousset, V., Franconi, J., Gass, A., Schreiber, W., Miller, D. H., & Tofts, P. S. (1999) · Journal of Magnetic Resonance Imaging · doi:10.1002/(sici)1522-2586(199903)9:3 · Cited by 120
Chronic Middle Cerebral Artery Occlusion: A Hemodynamic and Metabolic Study with Positron-Emission Tomography
Tanaka, M., Shimosegawa, E., Kajimoto, K., Kimura, Y., Kato, H., Oku, N., Hori, M., Kitagawa, K., & Hatazawa, J. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1234 · Cited by 37
Identifying systematic errors in quantitative dynamic‐susceptibility contrast perfusion imaging by high‐resolution multi‐echo parallel EPI
Jochimsen, T. H., Newbould, R. D., Skare, S. T., Clayton, D., Albers, G. W., Moseley, M. E., & Bammer, R. (2006) · NMR in Biomedicine · doi:10.1002/nbm.1107 · Cited by 37
On the relationship between cellular and hemodynamic properties of the human brain cortex throughout adult lifespan
Zhao, Y., Wen, J., Cross, A. H., & Yablonskiy, D. A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.022 · Cited by 35
Remote metabolic effects of cerebrovascular lesions: magnetic resonance and positron tomography imaging
Pappatà, S., Dinh, S. T., Baron, J., Cambon, H., & Syrota, A. (1987) · Neuroradiology · doi:10.1007/bf00341027 · Cited by 37
Self-citation
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Lee, T., Murphy, B. D., Aviv, R. I., Fox, A. J., Black, S. E., Sahlas, D. J., Symons, S. P., Lee, D. H., Pelz, D. M., Gulka, I. B., et al. (2006) · Stroke · doi:10.1161/01.str.0000237068.25105.aa · Cited by 36
Circadian Blood Pressure Variation Related to Morbidity and Mortality from Cerebrovascular and Cardiovascular Diseasesa
Imai, Y., Tsuji, I., Nagai, K., Watanabe, N., Ohkubo, T., Sakuma, M., Hashimoto, J., Ito, O., Satoh, H., Hisamichi, S., et al. (1996) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1996.tb26715.x · Cited by 36
Mental Decline in Normal Aging: A Review
Rinn, W. E. (1988) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/089198878800100304 · Cited by 36
A Prospective Longitudinal Brain Morphometry Study of Children with Sickle Cell Disease
Chen, R., Arkuszewski, M., Krejza, J., Zimmerman, R. A., Herskovits, E. H., & Melhem, E. R. (2014) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4101 · Cited by 35
Relationship between blood pressure and cerebral blood flow during supine cycling: influence of aging
Smirl, J. D., Hoffman, K., Tzeng, Y., Hansen, A. B., & Ainslie, P. N. (2015) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00667.2015 · Cited by 35
NEUROIMAGING OF THE AGING BRAIN
Ketonen, L. (1998) · Neurologic Clinics · doi:10.1016/s0733-8619(05)70082-7 · Cited by 37
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Butcher, K., Jeerakathil, T., Emery, D., Dowlatshahi, D. D., Hill, M. D., Sharma, M., Buck, B. H., Findlay, M., Lee, T., & Demchuk, A. M. (2010) · International Journal of Stroke · doi:10.1111/j.1747-4949.2010.00431.x · Cited by 34
Quantification of whole‐brain oxygenation extraction fraction and cerebral metabolic rate of oxygen consumption in adults with sickle cell anemia using individual T2‐based oxygenation calibrations
Li, W., Xu, X., Liu, P., Strouse, J. J., Casella, J. F., Lu, H., van Zijl, P. C. M., & Qin, Q. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27972 · Cited by 34
Quantification of Serial Cerebral Blood Flow in Acute Stroke Using Arterial Spin Labeling
Harston, G., Okell, T. W., Sheerin, F., Schulz, U. G., Mathieson, P., Reckless, I. P., Shah, K., Ford, G. A., Chappell, M. A., Jezzard, P., et al. (2016) · Stroke · doi:10.1161/strokeaha.116.014707 · Cited by 34
II. Temporal patterns of longitudinal change in aging brain function
Beason‐Held, L. L., Kraut, M. A., & Resnick, S. M. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.11.011 · Cited by 32
Cholinergic and vasoactive intestinal polypeptidergic innervation of the cerebral arteries
Dauphin, F., & MacKenzie, E. T. (1995) · Pharmacology & Therapeutics · doi:10.1016/0163-7258(95)00022-4 · Cited by 33
Hyperperfusion of Frontal White and Subcortical Gray Matter in Autism Spectrum Disorder
Peterson, B. S., Zargarian, A., Peterson, J. B., Goh, S., Sawardekar, S., Williams, S., Lythgoe, D. J., Zelaya, F. O., & Bansal, R. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.11.026 · Cited by 34
Effect of age on cerebral venous circulation disturbances in the rat
Otsuka, H., Nakase, H., Nagata, K., Ueda, K., Kempski, O. S., & Sakaki, T. (2000) · Journal of neurosurgery · doi:10.3171/jns.2000.93.2.0298 · Cited by 33
Effects of idebenone on neurological deficits following cerebrovascular lesions in stroke-prone spontaneously hypertensive rats
Nagaoka, A., Kakihana, M., & Fujiwara, K. (1989) · Archives of Gerontology and Geriatrics · doi:10.1016/0167-4943(89)90003-4 · Cited by 33
Reduced Temporal Lobe Glucose Metabolism in Aging
Eberling, J. L., NORDAHL, T. E., Kusubov, N., Reed, B., Budinger, T. F., & Jagust, W. J. (1995) · Journal of Neuroimaging · doi:10.1111/jon199553178 · Cited by 33
Reduced global cerebral oxygen metabolic rate in sickle cell disease and chronic anemias
Vu, C. Q., Bush, A., Choi, S., Borzage, M., Miao, X., Nederveen, A. J., Coates, T. D., & Wood, J. C. (2021) · American Journal of Hematology · doi:10.1002/ajh.26203 · Cited by 31
Comparing the effect of cognitive vs. exercise training on brain MRI outcomes in healthy older adults: A systematic review
Intzandt, B., Vrinceanu, T., Huck, J., Vincent, T. L., Montero‐Odasso, M., Gauthier, C. J., & Bherer, L. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.07.003 · Cited by 35
Alzheimer's disease risk factors as related to cerebral blood flow: additional evidence
Crawford, J. G. (1998) · Medical Hypotheses · doi:10.1016/s0306-9877(98)90173-6 · Cited by 31
Neuroimaging of aging and estrogen effects on central nervous system physiology
Smith, Y. R., & Zubieta, J. (2001) · Fertility and Sterility · doi:10.1016/s0015-0282(01)01985-9 · Cited by 30
Midlife and Late-Life Cardiorespiratory Fitness and Brain Volume Changes in Late Adulthood: Results From the Baltimore Longitudinal Study of Aging
Tian, Q., Studenski, S. A., Resnick, S. M., Davatzikos, C. A., & Ferrucci, L. (2015) · The Journals of Gerontology Series A · doi:10.1093/gerona/glv041 · Cited by 28
Differentiation of gray matter and white matter perfusion in patients with unilateral internal carotid artery occlusion
Kluytmans, M., van der Grond, J., Folkers, P. J. M., Mali, W. P. T. M., & Viergever, M. A. (1998) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880080404 · Cited by 29
Using a multimodal near-infrared spectroscopy and MRI to quantify gray matter metabolic rate for oxygen: A hypothermia validation study
Hashem, M., Zhang, Q., Wu, Y., Johnson, T. W., & Dunn, J. F. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116315 · Cited by 28
PET studies of cerebral glucose metabolism in conscious rhesus macaques
Eberling, J. L., Roberts, J. A., de Manincor, D. J., Brennan, K. M., Hanrahan, S. M., VanBrocklin, H. F., Roos, M. S., & Jagust, W. J. (1995) · Neurobiology of Aging · doi:10.1016/0197-4580(95)00085-s · Cited by 28
Regional cerebral blood flow in normal individuals aged 40, 75 and 88 years studied by 99Tcm-d,l-HMPAO SPET
Larsson, A., Skoog, I. G., Aevarsson, Ó., Ärlig, Å., Jacobsson, L., Larsson, L., Östling, S., & Wikkelsø, C. (2001) · Nuclear Medicine Communications · doi:10.1097/00006231-200107000-00003 · Cited by 28
Cerebral blood flow in patients with dementia of Alzheimer’s type
Postiglione, A., Lassen, N. A., & Holman, B. L. (1993) · Aging Clinical and Experimental Research · doi:10.1007/bf03324122 · Cited by 28
Effect of age on blood vessels and neurovascular appositions in the rat dentate fascia
Topple, A. N., Fifkova´, E., & Cullen-Dockstader, K. (1990) · Neurobiology of Aging · doi:10.1016/0197-4580(90)90002-h · Cited by 28
Positron Emission Tomography
Lammertsma, A. A., & Frackowiak, R. S. J. (2012) · SpringerReference · doi:10.1007/springerreference_225094 · Cited by 28
Cardiovascular function and the veteran athlete
Wilson, M. G., O’Hanlon, R., Basavarajaiah, S., George, K., GREEN, D. J., Ainslie, P. N., Sharma, S., Prasad, S. K., Murrell, C., Thijssen, D. H. J., et al. (2010) · European Journal of Applied Physiology · doi:10.1007/s00421-010-1534-3 · Cited by 28
Age-Related Increase in Cross-Sensory Noise in Resting and Steady-State Cerebral Perfusion
Hugenschmidt, C. E., Mozolic, J. L., Tan, H., Kraft, R., & Laurienti, P. J. (2009) · Brain Topography · doi:10.1007/s10548-009-0098-1 · Cited by 27
Determination of Kinetic Rate Constants for 2-[ 18 F]fluoro-2-deoxy- d -glucose and Partition Coefficient of Water in Conscious Macaques and Alterations in Aging or Anesthesia Examined on Parametric Images with an Anatomic Standardization Technique
Noda, A., Takamatsu, H., Minoshima, S., Tsukada, H., & Nishimura, S. (2003) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/01.wcb.0000090623.86921.47 · Cited by 27
Standardized Mean Regional Method for Calculating Global Positron Emission Tomographic Measurements
Perlmutter, J. S., Herscovitch, P., Powers, W. J., Fox, P. T., & Raichle, M. E. (1985) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1985.66 · Cited by 27
Positron Emission Tomography in the Investigation of Central Nervous System Disorders
Jamieson, D. G., Alavi, A. A., Jolles, P., Chawluk, J. B., & Reivich, M. (1988) · Radiologic Clinics of North America · doi:10.1016/s0033-8389(22)00810-7 · Cited by 27
Simulating the effect of cerebral blood flow changes on regional quantification of [ 18 F]flutemetamol and [ 18 F]florbetaben studies
Heeman, F., Yaqub, M. M., Alves, I. L., Heurling, K., Bullich, S., Gispert, J. D., Boellaard, R., & Lammertsma, A. A. (2020) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x20918029 · Cited by 26
Deciphering Alzheimer’s Disease Pathogenic Pathway: Role of Chronic Brain Hypoperfusion on p-Tau and mTOR
de la Torre, J. C. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201165 · Cited by 28
Therapeutic High-Frequency Stimulation of the Subthalamic Nucleus in Parkinson's Disease Produces Global Increases in Cerebral Blood Flow
Sidtis, J. J., Tagliati, M., Alterman, R. L., Sidtis, D. V. L., DHAWAN, V. M., & Eidelberg, D. (2011) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2011.135 · Cited by 26
Age-related vasodilatory response to acetazolamide challenge in healthy adults: a dynamic contrast-enhanced MR study.
Petrella, J. R., DeCarli, C. S., Dagli, M. S., Grandin, C. B. G., Duyn, J. H., Frank, J. A., Hoffman, E. A., & Theodore, W. H. (1998) · PubMed Central · Cited by 26
The effect of focal cerebral atrophy in positron emission tomographic studies of aging and dementia
Chawluk, J. B., Dann, R., Alavi, A. A., Hurtig, H. I., Gur, R. E., Resnick, S. M., Zimmerman, R. A., & Reivich, M. (1990) · International Journal of Radiation Applications and Instrumentation Part B Nuclear Medicine and Biology · doi:10.1016/0883-2897(90)90028-y · Cited by 26

Authors: Pantano, P., Baron, J. C., Lebrun-Grandié, P., Duquesnoy, N., Bousser, M. G., & Comar, D.
Affiliations: Comar (United States) (US)
ORCID: Pantano, P
Baron, J C
Bousser, M G
Venue: Stroke
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 1984-07
Volume: 15
Issue: 4
Pages: 635-641
ISSN: 0039-2499 (ISSN-L)
1524-4628
DOI: 10.1161/01.str.15.4.635
OpenAlex: W2057506135
Cited by: 341
References: 38
Citations by year: 2026: 2 · 2025: 4 · 2024: 12 · 2023: 6 · 2022: 6 · 2021: 15 · 2020: 8 · 2019: 4 · 2018: 11 · 2017: 8 · 2016: 13 · 2015: 10 · 2014: 6 · 2013: 7 · 2012: 7
FWCI: 7.63
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: Stroke (publishedVersion)
PubMed (publishedVersion)
IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords: regional cerebral blood flow, cerebral oxygen consumption, brain aging, oxygen extraction fraction, gray matter, white matter, cortical regions, age-related decline, cognitive aging, neuronal loss
MeSH terms: Adult, Aged, Aging, Brain, Cerebrovascular Circulation, Female, Humans, Male, Middle Aged, Oxygen Consumption, Tomography, Emission-Computed

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Regional cerebral blood flow and oxygen consumption in human aging

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