Characterizing the normative profile of 18F-FDG PET brain imaging: Sex difference, aging effect, and cognitive reserve
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The aim of this study was to investigate findings of positron emission tomography with 18F-fluorodeoxyglucose (18F-FDG PET) in normal subjects to clarify the effects of sex differences, aging, and cognitive reserve on cerebral glucose metabolism. Participants comprised 123 normal adults who underwent 18F-FDG PET and a neuropsychological battery. We used statistical parametric mapping (SPM8) to investigate sex differences, and aging effects. The effects of cognitive reserve on 18F-FDG uptake were investigated using years of education as a proxy. Finally, we studied the effect of cognitive reserve on the recruitment of glucose metabolism in a memory task by dichotomizing the data according to educational level. Our results showed that the overall cerebral glucose metabolism in females was higher than that in males, whereas male participants had higher glucose metabolism in the bilateral inferior temporal gyri and cerebellum than females. Age-related hypometabolism was found in anterior regions, including the anterior cingulate gyrus. These areas are part of the attentional system, which may decline with aging even in healthy elderly individuals. Highly educated subjects revealed focal hypermetabolism in the right hemisphere and lower recruitment of glucose metabolism in memory tasks. This phenomenon is likely a candidate for a neural substrate of cognitive reserve.
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Normal brain [18F]FDG uptake varies with age, sex, and the presence or absence of diabetes mellitus.
“Normal brain [18F]FDG uptake varies with age, sex, and the presence or absence of diabetes mellitus [1,6,9,10].”
From Influences on PET Quantification and Interpretation (2022) · cites this paper as [9]
The abstract (p. 1) reports sex differences and age-related changes in cerebral glucose metabolism measured with 18F-FDG PET. But §2.1 (p. 2) says diabetes mellitus was an exclusion criterion, so this study does not establish variation by the presence or absence of diabetes. (LLM, conf=0.93)
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Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980 · see citing works
The psychology of sex differences
Maccoby, E. E. (1975) · Behavior Therapy · doi:10.1016/s0005-7894(75)80031-1 · Cited by 5,714 · see citing works
Talairach, J., Tournoux, P., & Rayport, M. (1988) · Thieme eBooks · Cited by 5,058 · see citing works
Stern, Y. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.03.004 · Cited by 2,943 · see citing works
Self-citationStorage and Executive Processes in the Frontal Lobes
Smith, E. E., & Jonides, J. (1999) · Science · doi:10.1126/science.283.5408.1657 · Cited by 2,834 · see citing works
Le test de copie d'une figure complexe
Osterrieth, P. M. (1944) · Medical Entomology and Zoology · Cited by 2,337 · see citing works
Frackowiak, R. S. J. (1997) · Cited by 1,713 · see citing works
L'examen psychologique ; Dans les cas d'ence-phalopathie traumatique (Les problemes)
Rey, A. E. (1941) · Medical Entomology and Zoology · Cited by 1,703 · see citing works
The Psychology of Sex Differences
Maccoby, E. E., & Jacklin, C. N. (1974) · Stanford University Press eBooks · doi:10.1515/9781503620797 · Cited by 1,301 · see citing works
(1995) · PubMed Central · doi:10.2967/jnumed.120.252510a · Cited by 996 · see citing works
Brain networks associated with cognitive reserve in healthy young and old adults
Stern, Y. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhh142 · Cited by 417 · see citing works
Self-citationLifetime Antecedents of Cognitive Reserve
Richards, M., & Sacker, A. (2003) · Journal of Clinical and Experimental Neuropsychology · doi:10.1076/jcen.25.5.614.14581 · Cited by 369 · see citing works
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 · see citing works
Head Circumference, Education and Risk of Dementia: Findings from the Nun Study
Mortimer, J. A., Snowdon, D. A., & Markesbery, W. R. (2003) · Journal of Clinical and Experimental Neuropsychology · doi:10.1076/jcen.25.5.671.14584 · Cited by 297 · see citing works
Bohnen, N. I., Djang, D., Herholz, K., Anzai, Y., & Minoshima, S. (2011) · Journal of Nuclear Medicine · doi:10.2967/jnumed.111.096578 · Cited by 286 · see citing works
Neuropsychological Measures in Normal Individuals That Predict Subsequent Cognitive Decline
Blacker, D., Lee, H., Muzikansky, A., Martin, E. C., Tanzi, R. E., McArdle, J. J., Moss, M. B., & Albert, M. (2007) · Archives of Neurology · doi:10.1001/archneur.64.6.862 · Cited by 260 · see citing works
On the Involvement of Prefrontal Networks in Cognitive Ageing
Tisserand, D. J., & Jolles, J. (2003) · Cortex · doi:10.1016/s0010-9452(08)70880-3 · Cited by 253 · see citing works
Petit-Taboué, M. C., Landeau, B., Desson, J. F., Desgranges, B., & Baron, J. C. (1998) · NeuroImage · doi:10.1006/nimg.1997.0318 · Cited by 221 · see citing works
Loessner, A., Alavi, A., Lewandrowski, K., Mozley, D. P., Souder, E., & Gur, R. E. (1995) · PubMed · Cited by 221 · see citing works
Pardo, J. V., Lee, J. T., Sheikh, S. A., Surerus-Johnson, C., Shah, H., Munch, K. R., Carlis, J. V., Lewis, S. M., Kuskowski, M. A., & Dysken, M. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.044 · Cited by 196 · see citing works
Age-related changes in brain activation during a delayed item recognition task
Zarahn, E., Rakitin, B., Abela, D., Flynn, J., & Stern, Y. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.03.002 · Cited by 179 · see citing works
Self-citationAge, sex and laterality effects on cerebral glucose metabolism in healthy adults
Willis, M. W., Ketter, T. A., Kimbrell, T. A., George, M. S., Herscovitch, P., Danielson, A. L., Benson, B. E., & Post, R. M. (2002) · Psychiatry Research Neuroimaging · doi:10.1016/s0925-4927(01)00126-3 · Cited by 150 · see citing works
Gender-related differences in regional cerebral glucose metabolism in normal volunteers
Andreason, P., Zametkin, A. J., Guo, A. C., Baldwin, P., & Cohen, R. M. (1994) · Psychiatry Research · doi:10.1016/0165-1781(94)90037-x · Cited by 140 · see citing works
SUMOWSKI, J. F., CHIARAVALLOTI, N., WYLIE, G., & DELUCA, J. (2009) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617709090912 · Cited by 132 · see citing works
Ragland, J. D., Coleman, A. R., Gur, R. C., Glahn, D. C., & Gur, R. E. (2000) · Neuropsychologia · doi:10.1016/s0028-3932(99)00086-x · Cited by 120 · see citing works
The handbook of Rey-Osterrieth Complex Figure Usage : clinical and research applications
Knight, J. A., & Kaplan, E. (2003) · Medical Entomology and Zoology · Cited by 108 · see citing works
Brain FDG PET study of normal aging in Japanese: effect of atrophy correction
Yanase, D., Matsunari, I., Yajima, K., Chen, W., Fujikawa, A., Nishimura, S., Matsuda, H., & Yamada, M. (2005) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-005-1767-2 · Cited by 104 · see citing works
Gender differences in cerebral glucose metabolism: a PET study
Kawachi, T., Ishii, K., Sakamoto, S., Matsui, M., Mori, T., & Sasaki, M. (2002) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(02)00112-0 · Cited by 83 · see citing works
Functional integration of parietal lobe activity in early Alzheimer disease
Jacobs, H. I. L., van Boxtel, M. P. J., Heinecke, A., Gronenschild, E. H. B. M., Backes, W. H., Ramakers, I. H. G. B., Jolles, J., & Verhey, F. R. J. (2012) · Neurology · doi:10.1212/wnl.0b013e318245287d · Cited by 71 · see citing works
Mosconi, L., Tsui, W.-H., Pupi, A., Santi, S. D., Drzezga, A. E., Minoshima, S., & de Leon, M. J. (2007) · Journal of Nuclear Medicine · doi:10.2967/jnumed.107.040675 · Cited by 71 · see citing works
Screening for postpartum depression: A methodological note
Whiffen, V. E. (1988) · Journal of Clinical Psychology · doi:10.1002/1097-4679(198805)44:3 · Cited by 47 · see citing works
Lifetime antecedents of cognitive reserve
(2013) · Psychology Press eBooks · doi:10.4324/9780203783047-12 · Cited by 47 · see citing works
Kim, I., Kim, S., & Kim, Y.-K. (2009) · Acta Radiologica · doi:10.3109/02841850903258058 · Cited by 45 · see citing works
Changes in glucose metabolism due to aging and gender-related differences in the healthy human brain
Fujimoto, T., Matsumoto, T., Fujita, S., Takeuchi, K., Nakamura, K., Mitsuyama, Y., & Kato, N. (2008) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2006.12.014 · Cited by 44 · see citing works
Iseki, E., Murayama, N., Yamamoto, R., Fujishiro, H., Suzuki, M., Kawano, M., Miki, S., & Sato, K. (2009) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2346 · Cited by 35 · see citing works
Effects of sex and normal aging on regional brain activation during verbal memory performance
Hazlett, E., Byne, W., Brickman, A., Mitsis, E. M., Newmark, R. E., Haznedar, M., Knatz, D. T., Chen, A. D., & Buchsbaum, M. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.10.005 · Cited by 33 · see citing works
ANÇEVIĆ, V., ALAVI, A., Souder, E., Mozley, P. D., Gur, R. E., Bénard, F., & Munz, D. L. (2000) · Clinical Nuclear Medicine · doi:10.1097/00003072-200008000-00005 · Cited by 28 · see citing works
99mTc-HMPAO and 99mTc-ECD brain uptake correlates of verbal memory in Alzheimer's disease.
Nobili, F. M., Koulibaly, P. M., Rodriguez, G., Benoît, M., Girtler, N. G., Robert, P. H., Brugnolo, A., & Darcourt, J. (2007) · PubMed · Cited by 17 · see citing works
Normal Patterns and Variants in PET Brain Imaging
Newberg, A. B., & Alavi, A. A. (2010) · PET Clinics · doi:10.1016/j.cpet.2009.12.006 · Cited by 10 · see citing works
Chen, W., Samuraki, M., Shima, K., Yanase, D., Takeda, N., Miyazaki, Y., Ono, K., Yoshita, M., Nishimura, S., Yamada, M., et al. (2011) · Nuclear Medicine Communications · doi:10.1097/mnm.0b013e32834b43c2 · Cited by 6 · see citing works
Worsley (1996) · doi:10.1002/(sici)1097-0193(1996)4:1
Flagged first, then by citations
2 of the 44 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Rey, A., 1941. L'examen psychologique dans les cas d'encephalopathie traumatique. Archives de Psychologie 28, 286 -340. http://refhub.elsevier.com/S0925-4927(1300280-1/sbref29)
- Worsley, K.J., Marrett, S., Neelin, P., Vandal, A.C., Friston, K.J., Evans, A.C., 1996. A uni fi ed statistical approach for determining signi fi cant signals in images of cerebral activation. Human Brain Mapping, 4; , pp. 58 -73. http://refhub.elsevier.com/S0925-4927(1300280-1/sbref39)
Cited by
Sorted by citations
Fjell, A. M., McEvoy, L., Holland, D., Dale, A. M., & Walhovd, K. B. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2014.02.004 · Cited by 799 · see citing works
Bao, H., Cao, J., Chen, M., Min, C., Chen, W., Chen, X., Chen, Y., Chen, Y., Chen, Y., Chen, Z., et al. (2023) · Science China Life Sciences · doi:10.1007/s11427-023-2305-0 · Cited by 389 · see citing works
Greve, D. N., Salat, D. H., Bowen, S., Izquierdo‐Garcia, D., Schultz, A. P., Catana, C., Becker, J. A., Svarer, C., Knudsen, G. M., Sperling, R. A., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.042 · Cited by 312 · see citing works
Rodriguez-Vieitez, E., Saint-Aubert, L., Carter, S. F., Almkvist, O., Farid, K. A., Schöll, M., Chiotis, K., Thordardottir, S., Graff, C., Wall, A., et al. (2016) · Brain : a journal of neurology · doi:10.1093/brain/awv404 · Cited by 285 · see citing works
Brain fluorodeoxyglucose (FDG) PET in dementia
Kato, T., Inui, Y., Nakamura, A., & Ito, K. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.02.003 · Cited by 236 · see citing works
Deery, H. A., Paolo, R. D., Moran, C., Egan, G. F., & Jamadar, S. D. (2022) · Psychophysiology · doi:10.1111/psyp.14159 · Cited by 167 · see citing works
Bordt, E. A., Ceasrine, A. M., & Bilbo, S. D. (2020) · Glia · doi:10.1002/glia.23753 · Cited by 118 · see citing works
Neuroimaging Modalities in Alzheimer’s Disease: Diagnosis and Clinical Features
Kim, J., Jeong, M.-J., Stiles, W. R., & Choi, H.-S. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23116079 · Cited by 106 · see citing works
Malpetti, M., Ballarini, T., Presotto, L., Garibotto, V., Tettamanti, M., Perani, D., Initiative, A. D. N., & Network for Efficiency and Standardization of Dementia Diagnosis (NEST‐DD) database (2017) · Human Brain Mapping · doi:10.1002/hbm.23659 · Cited by 119 · see citing works
Cognitive resilience/reserve: Myth or reality? A review of definitions and measurement methods
Pappalettera, C., Carrarini, C., Miraglia, F., Vecchio, F., & Rossini, P. M. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13744 · Cited by 99 · see citing works
Ota, M., Matsuo, J., Ishida, I., Hattori, K., Teraishi, T., Tonouchi, H., Ashida, K., Takahashi, T., & Kunugi, H. (2016) · Psychopharmacology · doi:10.1007/s00213-016-4414-7 · Cited by 92 · see citing works
Age-Related Sex-Specific Changes in Brain Metabolism and Morphology
Kakimoto, A., Ito, S., Okada, H., Nishizawa, S., Minoshima, S., & Ouchi, Y. (2015) · Journal of Nuclear Medicine · doi:10.2967/jnumed.115.166439 · Cited by 81 · see citing works
Sex differences in brain mitochondrial metabolism: influence of endogenous steroids and stroke
Gaignard, P., Fréchou, M., Lière, P., Thérond, P., Schumacher, M., Slama, A., & Guennoun, R. (2017) · Journal of Neuroendocrinology · doi:10.1111/jne.12497 · Cited by 76 · see citing works
Structural and metabolic brain abnormalities in COVID-19 patients with sudden loss of smell
Niesen, M., Trotta, N., Noel, A., Coolen, T., Fayad, G., Leurkin-Sterk, G., Delpierre, I., Henrard, S., Sadeghi, N., Goffard, J., et al. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-020-05154-6 · Cited by 66 · see citing works
Quantification of the Biological Age of the Brain Using Neuroimaging
Cole, J. H., Franke, K., & Cherbuin, N. (2019) · Healthy ageing and longevity · doi:10.1007/978-3-030-24970-0_19 · Cited by 64 · see citing works
Interaction between years of education and APOE ε4 status on frontal and temporal metabolism
Arenaza‐Urquijo, E. M., Gonneaud, J., Fouquet, M., Perrotin, A., Mézenge, F., Landeau, B., Egret, S., Sayette, V. D. L., Desgranges, B., & Chételat, G. (2015) · Neurology · doi:10.1212/wnl.0000000000002034 · Cited by 64 · see citing works
Concussion: pathophysiology and clinical translation
Giza, C. C., Greco, T., & Prins, M. L. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63954-7.00006-9 · Cited by 62 · see citing works
Hippocampal changes in STZ-model of Alzheimer’s disease are dependent on sex
Biasibetti, R., dos Santos, J. P. A., Rodrigues, L., Wartchow, K. M., Suardi, L. Z., Nardin, P., Selistre, N. G., Vázquez, D., & Gonçalves, C. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.08.057 · Cited by 57 · see citing works
Stroke and the neurovascular unit: glial cells, sex differences, and hypertension
Morrison, H. W., & Filosa, J. A. (2019) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00333.2018 · Cited by 54 · see citing works
A framework of biomarkers for brain aging: a consensus statement by the Aging Biomarker Consortium
Jia, Y., Wang, J., Ren, J.-R., Chan, P., Chen, S., Chen, X., Chhetri, J. K., Guo, J., Guo, Q., Jin, L., et al. (2023) · Life Medicine · doi:10.1093/lifemedi/lnad017 · Cited by 52 · see citing works
Influences on PET Quantification and Interpretation
Rogasch, J. M. M., Hofheinz, F., van Heek, L., Voltin, C.-A., Boellaard, R., & Kobe, C. (2022) · Diagnostics · doi:10.3390/diagnostics12020451 · Cited by 50 · see citing works
“Normal brain [18F]FDG uptake varies with age, sex, and the presence or absence of diabetes mellitus [1,6,9,10].”
BackgroundPET imaging of neural activity, β-amyloid, and tau in normal brain aging
Zhang, K., Mizuma, H., Zhang, X., Takahashi, K., Jin, C., Song, F., Gao, Y., Kanayama, Y., Wu, Y., Li, Y., et al. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05230-5 · Cited by 50 · see citing works
Deery, H. A., Paolo, R. D., Moran, C., Egan, G. F., & Jamadar, S. D. (2022) · Human Brain Mapping · doi:10.1002/hbm.26119 · Cited by 46 · see citing works
Greater memory impairment in dementing females than males relative to sex-matched healthy controls
Gale, S. D., Baxter, L. C., & Thompson, J. (2016) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2015.1132298 · Cited by 48 · see citing works
Longitudinal effects of aging on 18F-FDG distribution in cognitively normal elderly individuals
Ishibashi, K., Onishi, A., Fujiwara, Y., Oda, K., Ishiwata, K., & Ishii, K. (2018) · Scientific Reports · doi:10.1038/s41598-018-29937-y · Cited by 48 · see citing works
Brendel, M., Focke, C., Blume, T., Peters, F., Deußing, M., Probst, F., Jaworska, A. M., Overhoff, F., Albert, N. L., Lindner, S., et al. (2017) · Journal of Nuclear Medicine · doi:10.2967/jnumed.117.195107 · Cited by 45 · see citing works
Bonte, S., Vandemaele, P., Verleden, S. E., Audenaert, K., Deblaere, K., Goethals, I., & Holen, R. V. (2016) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-016-3569-0 · Cited by 42 · see citing works
Ayesa‐Arriola, R., Setién‐Suero, E., Neergaard, K. D., Albacete, À., Contreras, F., van Haren, N. E. M., & Crespo‐Facorro, B. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.12.006 · Cited by 38 · see citing works
van Aalst, J., Ceccarini, J., Sunaert, S. G., Dupont, P. J., Koole, M. J. B., & Laere, K. V. (2021) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x20981502 · Cited by 36 · see citing works
FDG-PET Contributions to the Pathophysiology of Memory Impairment
Segobin, S. H., Joie, R. L., Ritz, L., Beaunieux, H., Desgranges, B., Chételat, G., Pitel, A., & Eustache, F. (2015) · Neuropsychology Review · doi:10.1007/s11065-015-9297-6 · Cited by 35 · see citing works
Zhang, H., Wu, P., Ziegler, S. I., Guan, Y., Wang, Y., Ge, J., Schwaiger, M., Huang, S., Zuo, C., Förster, S., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.09.031 · Cited by 33 · see citing works
Visser, M., O’Brien, J. T., & Mak, E. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102197 · Cited by 28 · see citing works
Yomogida, Y., Matsuo, J., Ishida, I., Ota, M., Nakamura, K., Ashida, K., & Kunugi, H. (2021) · Nutrients · doi:10.3390/nu13072134 · Cited by 29 · see citing works
Evaluation of factors influencing 18F-FET uptake in the brain
Verger, A., Stegmayr, C., Galldiks, N., Gucht, A. V. D., Lohmann, P., Stoffels, G., Shah, N. J., Fink, G. R., Eickhoff, S. B., Guedj, É., et al. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.11.005 · Cited by 24 · see citing works
Bi, Q., Wang, W., Niu, N., Li, H., Wang, Y., Huang, W., Chen, K., Xu, K., Zhang, J., Chen, Y., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117591 · Cited by 22 · see citing works
Lu, J., Wang, M., Wu, P., Yakushev, I. Y., Zhang, H., Ziegler, S. I., Jiang, J., Förster, S., Wang, J., Schwaiger, M., et al. (2022) · Phenomics · doi:10.1007/s43657-022-00079-6 · Cited by 22 · see citing works
Gucht, A. V. D., Verger, A., Guedj, É., Malandain, G., Hossu, G., Yagdigul, Y., Roch, V., Poussier, S., Maillard, L. G., Karcher, G., et al. (2015) · Annals of Nuclear Medicine · doi:10.1007/s12149-015-1022-2 · Cited by 21 · see citing works
Wu, G., & Baeken, C. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9510-0 · Cited by 21 · see citing works
Colón-Pérez, L. M., Turner, S. M., Lubke, K. N., Pompilus, M., Febo, M., & Burke, S. N. (2019) · eNeuro · doi:10.1523/eneuro.0047-19.2019 · Cited by 21 · see citing works
Jamadar, S. D., Liang, E. X., Zhong, S., Ward, P. G. D., Carey, A., McIntyre, R., Chen, Z., & Egan, G. F. (2022) · GigaScience · doi:10.1093/gigascience/giac031 · Cited by 19 · see citing works
Arias‐Reyes, C., Losantos-Ramos, K., Gonzales, M., Furrer, D., & Soliz, J. (2019) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2019.05.011 · Cited by 20 · see citing works
van Aalst, J., Devrome, M., Weehaeghe, D. V., Rezaei, A., Radwan, A., Schramm, G., Ceccarini, J., Sunaert, S. G., Koole, M. J. B., & Laere, K. V. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05518-6 · Cited by 19 · see citing works
FDG-PET scans in patients with Kraepelinian and non-Kraepelinian schizophrenia
Bralet, M., Buchsbaum, M. S., DeCastro, A., Shihabuddin, L., & Mitelman, S. A. (2015) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-015-0633-x · Cited by 18 · see citing works
Glucose metabolism in pediatric traumatic brain injury
Prins, M. L. (2017) · Child s Nervous System · doi:10.1007/s00381-017-3518-7 · Cited by 17 · see citing works
Allocca, M., Linguanti, F., Calcagni, M. L., Cistaro, A., Gaudieri, V., Guerra, U. P., Morbelli, S. D., Nobili, F. M., Pappatà, S., Sestini, S., et al. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10214932 · Cited by 16 · see citing works
Metabolomics reveals highly regional specificity of cerebral sexual dimorphism in mice
Chabrun, F., Dieu, X., Rousseau, G., Chupin, S., Letournel, F., Procaccio, V., Bonneau, D., Lenaers, G., Simard, G., Mirebeau‐Prunier, D., et al. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.101698 · Cited by 16 · see citing works
Mertens, N., Sunaert, S. G., Laere, K. V., & Koole, M. J. B. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.798410 · Cited by 14 · see citing works
Neuropsychological Profile of Early Cognitive Impairment in Cerebral Small Vessel Disease
Seki, M., Yoshizawa, H., Hosoya, M., & Kitagawa, K. (2022) · Cerebrovascular Diseases · doi:10.1159/000522438 · Cited by 14 · see citing works
Self-citationGiannos, P., Prokopidis, K., Lidoriki, I., Triantafyllidis, K. K., Kechagias, K. S., Celoch, K., Candow, D. G., Ostojić, S. M., & Forbes, S. C. (2022) · BMC Geriatrics · doi:10.1186/s12877-022-03521-6 · Cited by 14 · see citing works
The influence of occupation type and complexity on cognitive performance in older adults
Curreri, C., Trevisan, C., Grande, G., Giantin, V., Ceolin, C., Maggi, S., Noale, M., Baggio, G., & Sergi, G. (2022) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2022.111542 · Cited by 13 · see citing works
Cerebellar microglia: On the edge between neuroinflammation and neuroregulation
Сергеевна, Д. М., Guo, J., Shen, E.-W., Liu, W., Huang, W., Shen, Y., & Wang, L. (2024) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-24-00550 · Cited by 13 · see citing works
Toch, S.-R., Poussier, S., Micard, E., Bertaux, M., Gucht, A. V. D., Chevalier, E., Marie, P., Guedj, É., & Verger, A. (2018) · Molecular Imaging and Biology · doi:10.1007/s11307-018-1256-1 · Cited by 12 · see citing works
[18F]FDG PET integrated with structural MRI for accurate brain age prediction
Xue, L., Fu, Y., Gao, X., Feng, G., Qian, S., Wei, L., Li, L., Zhuo, C., Zhang, H., & Tian, M. (2024) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-024-06784-w · Cited by 11 · see citing works
Wang, Z., Manion, M. M., Laidlaw, E., Rupert, A. W., Lau, C., Smith, B., Nath, A., Sereti, I., & Hammoud, D. A. (2021) · AIDS · doi:10.1097/qad.0000000000002875 · Cited by 11 · see citing works
Shin, S., Kim, K., Nam, H., Kim, I. J., & Pak, K. (2020) · Nuclear Medicine Communications · doi:10.1097/mnm.0000000000001343 · Cited by 10 · see citing works
Cortical Thickness and Brain Glucose Metabolism in Healthy Aging
Baik, K., Jeon, S., Yang, S.-J., Na, Y., Chung, S. J., Yoo, H. S., Yun, M., Lee, P. H., Sohn, Y. H., & Ye, B. S. (2023) · Journal of Clinical Neurology · doi:10.3988/jcn.2022.0021 · Cited by 8 · see citing works
Sijbesma, J. W. A., van Waarde, A., García, D. V., Boersma, H. H., Slart, R. H. J. A., Dierckx, R. A. J. O., & Doorduin, J. (2018) · Molecular Imaging and Biology · doi:10.1007/s11307-018-1245-4 · Cited by 10 · see citing works
Sexual and Metabolic Differences in Hippocampal Evolution: Alzheimer’s Disease Implications
Martı́nez-Martos, J. M., Cantón-Habas, V., Rich‐Ruiz, M., Reyes-Medina, M. J., Ramı́rez-Expósito, M. J., & Carrera-González, M. P. (2024) · Life · doi:10.3390/life14121547 · Cited by 8 · see citing works
Cognitive Reserve in Parkinson's Disease without Dementia: β‐Amyloid and Metabolic Assessment
Fernández‐Rodríguez, B., Rodríguez‐Rojas, R., Guida, P., Angulo, S., Trompeta, C., Mata‐Marín, D., Obeso, I., Vela, L., Heras, I. P. D. L., Obeso, J. A., et al. (2024) · Movement Disorders Clinical Practice · doi:10.1002/mdc3.13967 · Cited by 8 · see citing works
Watanabe, S., Kato, H., Shimosegawa, E., & Hatazawa, J. (2015) · Journal of Nuclear Medicine · doi:10.2967/jnumed.115.164004 · Cited by 8 · see citing works
Central pulse pressure is a determinant of heart and brain remodeling in the elderly
Verger, A., Gucht, A. V. D., Guedj, É., Marie, P., Hossu, G., Mandry, D., Morel, O., Perrin, M., Fay, R., Bénétos, A., et al. (2015) · Journal of Hypertension · doi:10.1097/hjh.0000000000000566 · Cited by 7 · see citing works
Gender-disease interaction on brain cerebral metabolism in cancer patients with depressive symptoms
Yao, Z., Fang, L., Yu, Y., Zhang, Z., Zheng, W., Li, Z., Li, Y., Zhao, Y., Hu, T., Zhang, Z., et al. (2019) · BMC Psychiatry · doi:10.1186/s12888-018-2002-6 · Cited by 7 · see citing works
Hernandez, A. R., Barrett, M. E., Lubke, K. N., Maurer, A. P., & Burke, S. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1274624 · Cited by 5 · see citing works
Bouazzaoui, B., Angel, L., Sacher, M., Fay, S., Alibran, É., Pylouster, J., Gautier, R., & Taconnat, L. (2022) · Neuroscience Letters · doi:10.1016/j.neulet.2022.136676 · Cited by 6 · see citing works
Jin, R., Ge, J., Wu, P., Lu, J., Zhang, H., Wang, J., Wu, J., Han, X., Zhang, W., & Zuo, C. (2018) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s167548 · Cited by 6 · see citing works
Goto, M., Kimura, N., & Matsubara, E. (2022) · Psychogeriatrics · doi:10.1111/psyg.12825 · Cited by 6 · see citing works
Longitudinal [18F]FDG-PET/CT analysis of the glucose metabolism in ApoE-deficient mice
Kuhla, A., Meuth, L., Stenzel, J., Lindner, T., Lappe, C., Kurth, J., Krause, B. J., Teipel, S. J., Glass, A. S., Kundt, G., et al. (2020) · EJNMMI Research · doi:10.1186/s13550-020-00711-4 · Cited by 5 · see citing works
Hypoxia-ischemia and sexual dimorphism: modeling mitochondrial dysfunction using brain organoids
Gaston-Breton, R., Disdier, C., Hagberg, H., & Mabondzo, A. M. (2025) · Cell & Bioscience · doi:10.1186/s13578-025-01402-0 · Cited by 6 · see citing works
Zhang, Z., Li, Y., Xia, Q., Yu, Q., Wei, L., & Wu, G. (2025) · Metabolites · doi:10.3390/metabo15020067 · Cited by 5 · see citing works
Integrative Reserve and Integrative Medicine
Pan, W. (2014) · Integrative Medicine International · doi:10.1159/000369252 · Cited by 5 · see citing works
Falasco, G., Damián, A., Urrutia, L., Niell, N., Lago, G., Bérgamo, Y., Chrem, P., Quagliata, A., Bentancourt, C., Calandri, I. L., et al. (2021) · Current Alzheimer Research · doi:10.2174/1567205018666211116095035 · Cited by 5 · see citing works
Auriac, J., Lemoudda, G., Hovhannisyan, N., Pires, M., Sundar, L. K. S., Feghali, P. S., Seban, R., Jehanno, N., Nioche, C., Luporsi, M., et al. (2026) · Journal of Nuclear Medicine · doi:10.2967/jnumed.125.271400 · Cited by 4 · see citing works
Rudroff, T. (2026) · Clinical Neurophysiology · doi:10.1016/j.clinph.2026.2111969 · Cited by 3 · see citing works
Neurological Disorders and Women's Health: Contribution of Molecular Neuroimaging Techniques
Ekmekçioğlu, Ö., Albert, N. L., Heinrich, K., Tolboom, N., Weehaeghe, D. V., Traub‐Weidinger, T., Atay, L. Ö., Garibotto, V., & Morbelli, S. D. (2024) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2024.01.010 · Cited by 3 · see citing works
Positron Emission Tomography in Autism Spectrum Disorder: Current Status and Future Perspectives
Ryu, J., & Oh, M. (2025) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2025.06.003 · Cited by 3 · see citing works
Gutschmayer, S., Yu, J., Geist, B. K., Özer, Ö., Reiterits, B., Ferrara, D., Pires, M., Rausch, I., Ibeschitz, H., Karanikas, G., et al. (2025) · Scientific Data · doi:10.1038/s41597-025-05997-4 · Cited by 3 · see citing works
Sex differences in brain glucose metabolism and Alzheimer's disease risk and progression
Ramezan, M., Demetriou, A., Burke, S. N., Nalvarte, I., & Shin, A. C. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71491 · Cited by 2 · see citing works
Positive affect predicts cerebral glucose metabolism in late middle-aged adults
Nicholas, C. R. N., Hoscheidt, S. M., Clark, L. R., Racine, A. M., Berman, S. E., Koscik, R. L., Dowling, N. M., Asthana, S., Christian, B. T., Sager, M. A., et al. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx027 · Cited by 2 · see citing works
Chabrun, F., Dieu, X., May‐Panloup, P., Chupin, S., Bourreau, J., Henrion, D., Letournel, F., Procaccio, V., Bonneau, D., Lenaers, G., et al. (2021) · Journal of Proteome Research · doi:10.1021/acs.jproteome.1c00045 · Cited by 2 · see citing works
Borelli, W. V., Leal‐Conceição, E., Andrade, M. A., Esper, N. B., Feltes, P. K., Soder, R. B., Matushita, C. S., Hartmann, L. M., Radaelli, G., Schilling, L. P., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/666438 · Cited by 2 · see citing works
Deery, H. A., Moran, C., Liang, E. X., Gurvich, C., Egan, G. F., & Jamadar, S. D. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.27.625794 · Cited by 1 · see citing works
Susin, D. S., Khomenko, Y., Катаева, Г. В., Lipovetsky, B. M., Резникова, Т. Н., & Селиверстова, Н. А. (2017) · Diagnostic radiology and radiotherapy · doi:10.22328/2079-5343-2017-3-14-18
Sex differences in neuroimaging biomarkers in healthy subjects and dementia
Massa, F., Arnaldi, D., Balma, M., Bauckneht, M., Chincarini, A., Ferraro, P. M., Grazzini, M., Lapucci, C., Meli, R., Morbelli, S. D., et al. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819344-0.00009-0
Perani, D. (2017) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.726105916.793537459
Deery, H. A., Paolo, R. D., Moran, C., Egan, G. F., & Jamadar, S. D. (2021) · doi:10.31234/osf.io/3n5td
Sex differences in brain aging
Goyal, M. S., Gordon, B. A., & Resnick, S. M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00090-5
New models and methodologies in small animal PET/CT imaging
Sijbesma, J. W. A. (2024) · doi:10.33612/diss.1094578690
Structural and Molecular Imaging of Aging Brain
Ghonim, M., Ghonim, M., Redden, H. W. K., Gharavi, D., Mamidi, R. S., Patel, D., Mirbod, M., Revheim, M.-E. R., Werner, T. J., Newberg, A. B., et al. (2024) · PET Clinics · doi:10.1016/j.cpet.2024.09.007 · Cited by 1 · see citing works
Brain Metabolic Activity on FDG PET/CT Predicts Survival in Non–Small Cell Lung CancerPreprint
Auriac, J., Lemoudda, G., Hovhannisyan, N., Pires, M., Sundar, L. K. S., Feghali, P. S., Seban, R., Jehanno, N., Nioche, C., Luporsi, M., et al. (2025) · medRxiv · doi:10.1101/2025.10.07.25337046
Msherghi, A. A. A., Wong, F. C., Xu, G., Mawlawi, O. R., Elhadi, M., Alsharedi, M. F., Salim, H. A., Alizada, S., Ray, W. J., Puduvalli, V. K., et al. (2025) · Journal of Nuclear Medicine · doi:10.2967/jnumed.125.270661
Giannos, P., Prokopidis, K., Lidoriki, I., Triantafyllidis, K. K., Kechagias, K. S., Celoch, K., Candow, D. G., Ostojic, S. M., & Forbes, S. C. (2022) · Figshare · doi:10.6084/m9.figshare.21384512
Giannos, P., Prokopidis, K., Lidoriki, I., Triantafyllidis, K. K., Kechagias, K. S., Celoch, K., Candow, D. G., Ostojic, S. M., & Forbes, S. C. (2022) · Figshare · doi:10.6084/m9.figshare.21384515
Biomarkers for brain aging: functional, neuroimaging, fluid-based, and integrative approaches
Kim, G. H. (2025) · Journal of Geriatric Neurology · doi:10.53991/jgn.2025.00220
Liang, C., Tucker, T., Coronel, A. D. L., Nguyen, E. H. N., Nguyen, J., Intskirveli, I., Lazar, R., Metherate, R., & Mukherjee, J. (2026) · PLoS ONE · doi:10.64898/2026.03.23.713331
Köroğlu, R., Okar, Y., Övüt, A. R., & Urhan, M. (2026) · World Journal of Nuclear Medicine · doi:10.1055/s-0046-1827244
Sources of Variability in Normative Cerebral [ 18 F]FDG-PET imagingPreprint
de Souza, G. S., Povala, G., Peixoto, G. G. S., Coutinho, A. M., Bieger, A., Aranha, M. R., Bastiani, M. A. D., Zimmer, E. R., Borelli, W. V., & Souza, L. W. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.30.741623
- Authors
- Yoshizawa, H., Gazes, Y., Stern, Y., Miyata, Y., & Uchiyama, S.
- Affiliations
- Tokyo Women's Medical University Hospital (JP)
- Columbia University (US)
- Tokyo Women's Medical University (JP)
- Corresponding author
- Yoshizawa, Hiroshi
- Venue
- Psychiatry Research: Neuroimaging
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 221
- Issue
- 1
- Pages
- 78-85
- ISSN
- 0925-4927 (ISSN-L)
- OpenAlex
- W2100398092
- Cited by
- 100
- References
- 44
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 11 · 2023: 4 · 2022: 14 · 2021: 11 · 2020: 4 · 2019: 9 · 2018: 5 · 2017: 9 · 2016: 9 · 2015: 8 · 2014: 2
- FWCI
- 4.50
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Psychiatry Research Neuroimaging (publishedVersion)
- PubMed (publishedVersion)
- Columbia Academic Commons (Columbia University)
- Funders
- Ministry of Education, Culture, Sports, Science and Technology
- Tokyo Women's Medical University
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- 18F-FDG PET, brain glucose metabolism, sex differences, aging, cognitive reserve, years of schooling, memory tasks, anterior cingulate cortex, inferior temporal gyrus, cerebellum, healthy adults
- MeSH terms
- Adult, Aged, Aged, 80 and over, Aging, Brain, Brain Mapping, Cerebellum, Female, Glucose, Gyrus Cinguli, Humans, Male, Middle Aged, Sex Characteristics, Sex Factors, Socioeconomic Factors, Temporal Lobe, Radiopharmaceuticals, Fluorodeoxyglucose F18, Positron-Emission Tomography, Cognitive Reserve
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