The DOI matches its Crossref record.
Anterior temporal lobes and hippocampal formations: normative volumetric measurements from MR images in young adults.
Abstract
Volumes of the right and left anterior temporal lobes and hippocampal formations were measured from magnetic resonance images in 52 healthy volunteers, aged 20-40 years. Subjects were selected by age, sex, and handedness to evaluate possible effect of these variables. Data were normalized for variation in total intracranial volume between individuals. Right-left asymmetry in the volumes of the anterior temporal lobes and hippocampal formations was a normal finding. The anterior temporal lobe of the non-dominant (right) hemisphere was larger than the left by a small (mean right-left difference, 2.3 cm3) but statistically significant amount (P less than .005) in right-handed subjects. No significant effect of age or sex was seen in normalized right or left anterior temporal lobe volume. The right hippocampal formation was larger than the left for all subjects by a small (mean right-left difference, 0.3 cm3) but statistically significant amount (P less than .001). No effect of age, sex, or handedness was seen in normalized hippocampal formation volumes.
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
“In order to compare the baseline hippocampal volume (i.e., hippocampal volume at the time of the initial MR scan) among groups, the hippocampal volume measurements were normalized for interindividual variation in head size, age, and gender (16).”
From Rates of hippocampal atrophy correlate with change in clinical status in aging and AD (2000) · cites this paper as [16]
Citations
Cited by
Sorted by citations
Items 401–500 of 595
Wiest, R., Kassubek, J., Schindler, K. A., et al. (2005) · Epilepsy Research · doi:10.1016/j.eplepsyres.2005.05.002 · Cited by 18
Joynes, C. M., Bilgel, M., An, Y., Moghekar, A., Ashton, N. J., Kac, P. R., Karikari, T. K., Blennow, K., Zetterberg, H., Thambisetty, M., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14405 · Cited by 18
“Blood was drawn at the same visit as PET and MRI scans, centrifuged, and aliquoted plasma was stored at − 80”
Schommartz, I., Lembcke, P. F., Pupillo, F., Schuetz, H., de Chamorro, N. W., Bauer, M., Kaindl, A. M., Buß, C., & Shing, Y. L. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101192 · Cited by 15
Dennison, M., Whittle, S., Yücel, M., Byrne, M. L., Schwartz, O., Simmons, J. G., & Allen, N. B. (2014) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-014-0319-2 · Cited by 16
Brunnemann, N., Kipp, K. H., Gortner, L., et al. (2013) · Developmental Neuropsychology · doi:10.1080/87565641.2013.773003 · Cited by 17
“To correct the measured Hc volume for CV, the covariance method as described by Jack et al. (1989) was used.”
MethodShedding light on gray(ing) areas: Connectivity and task switching dynamics in aging
Baniqued, P. L., Low, K. A., Fletcher, M. A., Gratton, G., & Fabiani, M. (2017) · Psychophysiology · doi:10.1111/psyp.12818 · Cited by 17
Hippocampal Subfields and Limbic White Matter Jointly Predict Learning Rate in Older Adults
Bender, A. R., Brandmaier, A. M., Düzel, S., Keresztes, A., Pasternak, O., Lindenberger, U., & Kühn, S. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz252 · Cited by 17
Li, X., Bäckman, L., & Persson, J. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.08.022 · Cited by 18
Ono, S. E., Mäder-Joaquim, M. J., Neto, A. D. C., et al. (2021) · Epilepsy Research · doi:10.1016/j.eplepsyres.2021.106700 · Cited by 17
Prefrontal cortical thickness in motor neuron disease
Machts, J., Cárdenas‐Blanco, A., Acosta‐Cabronero, J., Kaufmann, J., Loewe, K., Kasper, E., Schuster, C., Prudlo, J., Vielhaber, S., & Nestor, P. J. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.03.002 · Cited by 17
“separately for each hemisphere and adjusted for age using the covariance method (Jack et al., 1989).”
MethodTemporoporal metabolic abnormalities in temporal lobe epilepsies
Semah, F. (2002) · Epileptic Disorders · doi:10.1684/j.1950-6945.2002.tb00518.x · Cited by 17
Structural Imaging Approaches to Alzheimer’s Disease
Jack, C. R., & Petersen, R. C. (2000) · Humana Press eBooks · doi:10.1007/978-1-59259-005-6_6 · Cited by 17
Self-citationNEUROIMAGING OF EPILEPSY IN CHILDREN
Raybaud, C., Guye, M., Mancini, J., et al. (2001) · Magnetic Resonance Imaging Clinics of North America · doi:10.1016/s1064-9689(21)00061-1 · Cited by 17
Jia, R., Yuan, X., Zhang, X., Song, P., Han, S., Wang, S., Li, Y., Zhang, S., Zhao, X., Zhang, Y., et al. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1153439 · Cited by 18
Su, X., Xia, C., Wang, W., Sun, H., Tan, Q., Zhang, S., Li, L., Kemp, G. J., Yue, Q., & Gong, Q. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.08.018 · Cited by 17
Mesial temporal lobe epilepsy: Revisiting the relation of hippocampal volumetry with memory deficits
Ono, S. E., Neto, A. D. C., Joaquim, M. J. M., dos Santos, G. R., de Paola, L., & Silvado, C. E. (2019) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2019.106516 · Cited by 16
Lövdén, M., Pagin, A., David Bartrés-faz, A., Boraxbekk, C., Brandmaier, A. M., Demnitz, N., Drevon, C. A., Ebmeier, K. P., Fjell, A. M., Ghisletta, P., et al. (2023) · Aging Brain · doi:10.1016/j.nbas.2023.100082 · Cited by 15
“In the follow up control analyses restricted to the BASE II and COBRA studies, we used the estimates of left and right hippocampus volume at time 1 and time 2 adjusted for intracranial volume with an analysis of covariance approach [36]: adjusted volumet,i = raw volumet,i - bt* (intracranial volumei – mean intracrania…”
MethodRolstad, S., Abé, C., Olsson, E., Eckerström, C., & Landén, M. (2016) · Psychological Medicine · doi:10.1017/s0033291716001641 · Cited by 15
“Volumes of WMH, CSF and PFC were then normalized by using a regression-based approach (Jack et al. 1989).”
MethodKnowledge-based localization of hippocampus in human brain MRI
Siadat, M.-R., Hamid Soltanian-zadeh, A., & Elisevich, K. V. (2007) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2006.12.010 · Cited by 15
“Details of the hippocampus neurophysiology, anatomy and its appearance on MRI are presented in various publications [2,17,19–22].”
BackgroundTemporal lobe epilepsy in a genius of natural history
Murai, T., Hanakawa, T., Sengoku, A., Ban, T., Yoneda, Y., Fujita, H., & Fujita, N. (1998) · Neurology · doi:10.1212/wnl.50.5.1373 · Cited by 15
Predictors of Alzheimer type dementia in subjects with mild cognitive impairments
Visser, P. J. (2000) · Research Publications (Maastricht University) · doi:10.26481/dis.20000920pv · Cited by 15
Wu, Y., Wang, X., Gu, C., Zhu, J., & Fang, Y. (2023) · Age and Ageing · doi:10.1093/ageing/afad182 · Cited by 16
“For the intracranial volume, due to the inconsistency of cranial size in each individual, the proportional method [26] was used to normalise it.”
Magnetic Resonance Imaging in Pediatric Epilepsy
Chuang, N. A., Otsubo, H., & Chuang, S. H. (2002) · Topics in Magnetic Resonance Imaging · doi:10.1097/00002142-200202000-00004 · Cited by 14
“The hippocampal plane can be marked by drawing a line parallel to the lateral aspect of a Sylvian fissure on a lateral sagittal image (27) or a line tangential to the floor of the third ventricle, which connects the most inferoposterior aspect of the frontal lobes, optic chiasm, and superior opening of the Sylvian aqu…”
BackgroundHippocampal Volumetry as a Biomarker for Dementia in People with Low Education
Mondragón, J. D., Celada-Borja, C., Barinagarrementería-Aldatz, F., Burgos-Jaramillo, M., & Barragán-Campos, H. M. (2016) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000449424 · Cited by 13
Infant febrile seizures: Changes in declarative memory as revealed by event-related potentials
Kipp, K. H., Mecklinger, A., Becker, M., et al. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.05.011 · Cited by 14
Oppenheim, C., Dormont, D., Hasboun, D., Bazin, B., Samson, S., Lehéricy, S., Baulac, M., & Marsault, C. (1999) · Neuroradiology · doi:10.1007/s002340050786 · Cited by 13
“The fact that the normal range is quite large means that mild atrophy cannot be unambiguously distinguished from normal [38, 41, 42].”
BackgroundMaestre, K. V., Serra-Grabulosa, J. M., Junqué, C., et al. (2001) · Revista de Neurología · doi:10.33588/rn.3301.2001103 · Cited by 14
“Las medidas del hipocampo y del estriado se normalizaron según las diferencias de volumen intracraneal, mediante un método basado en el análisis de covarianza [15].”
BackgroundAge at onset and sex differences in corpus callosum area in schizophrenia
Scheller‐Gilkey, G., & Lewine, R. R. J. (1999) · Schizophrenia Research · doi:10.1016/s0920-9964(99)00051-1 · Cited by 14
Interactive selection of optimal section orientations using real‐time MRI
Hangiandreou, N. J., Debbins, J. P., Rossman, P. J., et al. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340117 · Cited by 14
The Optical Effective Attenuation Coefficient as an Informative Measure of Brain Health in Aging
Chiarelli, A. M., Low, K. A., Maclin, E. L., Fletcher, M. A., Kong, T. S., Zimmerman, B., Tan, C. H., Sutton, B. P., Fabiani, M., & Gratton, G. (2019) · Photonics · doi:10.3390/photonics6030079 · Cited by 14
Sánchez, A. M. G., & Orejuela-Zapata, J. F. (2017) · The Neuroradiology Journal · doi:10.1177/1971400917731301 · Cited by 13
Jackson, G. D., Briellmann, R. S., & Kuzniecky, R. (2005) · Elsevier eBooks · doi:10.1016/b978-012431152-7/50008-2 · Cited by 19
Müller, T., Payton, N. M., Kalpouzos, G., Jessen, F., Grande, G., Bäckman, L., & Laukka, E. J. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200445 · Cited by 14
Pereira, P., Oliveira, E. G. F., & Serrano, R. I. (2006) · Revista de Neurología · doi:10.33588/rn.4212.2005352 · Cited by 12
Mulani, S., Kothare, S. V., & Patkar, D. P. (2005) · Neuroradiology · doi:10.1007/s00234-005-1379-3 · Cited by 13
“Correlation analysis performed on the mean RHV and LHV showed a >80% agreement, which was statistically significant (Fig.”
BackgroundInfluentialEvaluation of hippocampal infolding using magnetic resonance imaging
Okada, Y., Kato, T., Iwai, K., et al. (2003) · Neuroreport · doi:10.1097/01.wnr.0000078381.40088.d0 · Cited by 13
Medial temporal lobe volumetrics in traumatic brain injury.
Jack, C. R. (1997) · PubMed Central · Cited by 13
Self-citationCauwenberge, M. G. A. V., Bouckaert, F., Vansteelandt, K., Adamson, C. L., Winter, F. D., Sienaert, P. A., den Stock, J. V., Dols, A., Rhebergen, D., Stek, M. L., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01314-w · Cited by 12
Emsell, L., Vanhaute, H., Vansteelandt, K., Winter, F. D., Christiaens, D., den Stock, J. V., Vandenberghe, R. R., Laere, K. V., Sunaert, S. G., Bouckaert, F., et al. (2022) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2022.111443 · Cited by 14
Influence of the DRD2/ANKK1 Taq1A polymorphism on caudate volume in older adults without dementia
Li, X., Papenberg, G., Kalpouzos, G., Bäckman, L., & Persson, J. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1650-0 · Cited by 12
“Intracranial volume (ICV) was used to adjust volumetric data based on the analysis of covariance approach: adjusted volume = raw volume − b (ICV−mean ICV), where b is the slope of regression of volume on ICV (Jack et al. 1989; Raz et al. 2005).”
A positive influence of basal ganglia iron concentration on implicit sequence learning
Persson, J., Garzón, B., Sitnikov, R., Bäckman, L., & Kalpouzos, G. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02032-7 · Cited by 12
Cascino, G. D., Jack, C. R., Sharbrough, F. W., et al. (1992) · Journal of Epilepsy · doi:10.1016/s0896-6974(05)80118-5 · Cited by 12
Self-citationLifestyle, biological, and genetic factors related to brain iron accumulation across adulthood
Gustavsson, J., Ištvánfyová, Z. W., Papenberg, G., Falahati, F., Laukka, E. J., Lehtisalo, J., Mangialasche, F., & Kalpouzos, G. (2024) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2024.09.004 · Cited by 11
“The WMH volumes were adjusted for total intracranial volume (Jack et al., 1989) before being transformed for normality using a two-step normality transformation for analysis (Templeton, 2011).”
Hurtado, H., Hansen, M., Strack, J., Vainik, U., Decker, A. L., Khundrakpam, B. S., Duncan, K. D., Finn, A. S., Mabbott, D., & Merz, E. C. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.10.068 · Cited by 11
APOE ε4genotype predicts memory for everyday activities
Bailey, H. R., Sargent, J. Q., Flores, S. E., Nowotny, P., Goate, A., & Zacks, J. M. (2015) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2015.1020916 · Cited by 12
“Volumes were summed across hemispheres and then normalized to control for intracranial volume using linear regression (e.g., Buckner et al., 2004; Jack et al., 1989).”
Leach, J. L., Awwad, R., Greiner, H. M., Vannest, J. J., Miles, L., & Mangano, F. T. (2016) · Journal of Neurosurgery Pediatrics · doi:10.3171/2015.11.peds15485 · Cited by 11
Mueller, C.-A., Scorzin, J. E., Koenig, R., Urbach, H., Fimmers, R., Zentner, J., Lehmann, T., & Schramm, J. (2006) · Neuroradiology · doi:10.1007/s00234-006-0171-3 · Cited by 11
Confiabilidade de medidas volumétricas de estruturas temporais mesiais
Marchetti, R. L., Bottino, C. M. C., Azevedo, D., et al. (2002) · Arquivos de Neuro-Psiquiatria · doi:10.1590/s0004-282x2002000300016 · Cited by 11
MR appearance of the internal architecture of Ammon's horn.
Miller, M. J., Mark, L. P., Ho, K., & Haughton, V. M. (1996) · PubMed Central · Cited by 11
Anatomic and Physiologic Imaging of Alzheimer’s Disease
Giacometti, A. R., Davis, P. C., Alazraki, N. P., & MALKO, J. A. (1994) · Clinics in Geriatric Medicine · doi:10.1016/s0749-0690(18)30346-x · Cited by 11
Precision Brain Morphometry: Feasibility and Opportunities of Extreme Rapid ScansPreprint
Nielsen, J. A., Mair, R. W., Baker, J. T., & Buckner, R. L. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/530436 · Cited by 11
“Initial anatomical images for brain morphometry (e.g., Jack et al., 1989; 1992) used the Spoiled Gradient Recalled Echo technique (SPGR) – also known as Fast Low Angle SHot (FLASH; Frahm et al., 1986; Crawley et al., 1988).”
MethodThe iron-dopamine D1 coupling modulates neural signatures of working memory across adult lifespan
Gustavsson, J., Johansson, J. J., Falahati, F., Andersson, M., Papenberg, G., Avelar‐Pereira, B., Bäckman, L., Kalpouzos, G., & Salami, A. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120323 · Cited by 11
Verbal memory depends on structural hippocampal subfield volume
Tsalouchidou, P., Müller, C.-J., Belke, M., et al. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1209941 · Cited by 10
Hippocampal microstructure, but not macrostructure, mediates age differences in episodic memory
Ibrahim, K., & Bennett, I. J. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1285375 · Cited by 10
“Individual differences in brain size were then corrected using the residual normalization method (Jack et al., 1989).”
MethodStructural correlates of commission errors in prospective memory
Scullin, M. K., Ball, B. H., & Bugg, J. M. (2019) · Cortex · doi:10.1016/j.cortex.2019.10.013 · Cited by 11
Topkan, T. A., Erdoğan, N., Barutcu, B., Cindil, E., Tali, E. T., & Karaman, Y. (2022) · Cognitive and Behavioral Neurology · doi:10.1097/wnn.0000000000000296 · Cited by 9
Laukka, E. J., Lövdén, M., Kalpouzos, G., Papenberg, G., Keller, L., Graff, C., Li, T., Fratiglioni, L., & Bäckman, L. (2015) · PLoS ONE · doi:10.1371/journal.pone.0134766 · Cited by 10
Association of a neurokinin 3 receptor polymorphism with the anterior basal forebrain
Teipel, S. J., Grothe, M. J., Wittfeld, K., Hoffmann, W. U., Hegenscheid, K., Völzke, H., Homuth, G., & Grabe, H. J. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.12.031 · Cited by 10
“…infancy to early adolescence in men than in women (Uematsu et al., 2012), and absence of a sex difference or larger volumes in women than in men for hippocampus volumes normalized to total intracranial volume in small samples (n< 150) (Greenberg et al., 2008; Jack et al., 1989;Mu et al., 1999).”
Bubu, O. M., Williams, E. T., Umasabor‐Bubu, O. Q., Kaur, S., Turner, A. D., Blanc, J., Ramos‐Cejudo, J., Mullins, A. E., Parekh, A., Kam, K., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.763264 · Cited by 10
“Hippocampal volumes were adjusted for total intracranial volumes by including total intracranial volumes as a covariate in the analytic models (Jack et al., 1989).”
MethodMRI‐Based Measurement of Brain Stem Cross‐Sectional Area in Relapsing‐Remitting Multiple Sclerosis
Chivers, T. R., Constantinescu, C. S., & Tench, C. R. (2015) · Journal of Neuroimaging · doi:10.1111/jon.12244 · Cited by 10
“The median age (interquartile range) for patients was 39 (32-44) years and the median age of control subjects was 34 (29-42) years.”
BackgroundEffects of DARPP-32 Genetic Variation on Prefrontal Cortex Volume and Episodic Memory Performance
Persson, N., Persson, J., Lavebratt, C., & Fischer, H. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00244 · Cited by 11
“Prior to statistical analyses, all regional volumes were adjusted for the volume of the intracranial vault (ICV) through analysis of covariance (Jack et al., 1989).”
MethodIs the amygdala crucial for cross-modal association in humans?
Lee, G. P., Reed, M. F., Meador, K. J., Smith, J. R., & Loring, D. W. (1995) · Neuropsychology · doi:10.1037/0894-4105.9.2.236 · Cited by 10
Mart�nez, M. J., Santamar�a, J., Mercader, J. M., Catafau, A., Cardenal, C., & Lome�a, F. (1994) · Neuroradiology · doi:10.1007/bf00599185 · Cited by 10
“[9, 10] obtained MRI volume measures in normal subjects and reported asymmetries in the temporal lobe and in the hippocampus; the structures in the right hemisphere being significantly larger than those on the left.”
BackgroundMorphologische und funktionelle Bildgebung
Schröder, J., & Pantel, J. (1999) · Springer eBooks · doi:10.1007/978-3-642-60228-3_8 · Cited by 10
Iron content affects age group differences in associative learning-related fMRI activity
Petok, J. R., Merenstein, J. L., & Bennett, I. J. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120478 · Cited by 11
“For each participant, normalized volumes of each region of interest were calculated using the residual method to account for individual differences in brain size (Jack et al., 1989), as described elsewhere (Bennett et al., 2019).”
MethodEvaluation of the accuracy of volume determination on the orbit and eyeball using MRI
Chau, A. C. M., Fung, K. K.-L., & Yap, M. K. H. (2004) · Radiography · doi:10.1016/j.radi.2004.10.004 · Cited by 9
Persson, N., & Andersson, M. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119239 · Cited by 9
Levanovich, P., Daugherty, A. M., Komnenov, D., & Rossi, N. F. (2022) · Physiological Reports · doi:10.14814/phy2.15456 · Cited by 9
Li, Y., Laukka, E. J., Dekhtyar, S., Papenberg, G., Špeh, A., Fratiglioni, L., Kalpouzos, G., & Qiu, C. (2022) · Neurology · doi:10.1212/wnl.0000000000201346 · Cited by 9
Mueller, C.-A., Kaaden, S., Scorzin, J. E., et al. (2009) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2008.12.003 · Cited by 9
“With respect to pre- and postoperative HC volume measurements, we observed no laterality effect of HC volume (mm), whereas some other centers have observed a systematic volume difference (right larger than left hippocampus) in subjects with hippocampal sclerosis [36].”
BackgroundHIPPOCAMPUS: Normal Magnetic Resonance Imaging Anatomy with Volumetric Studies
Hui, F., Cavazos, J. E., & Tien, R. D. (1997) · Neuroimaging Clinics of North America · doi:10.1016/s1052-5149(25)00425-3 · Cited by 9
Greenman, D., & Bennett, I. J. (2025) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2025.02.004 · Cited by 9
“Normalized volume of each region of interest was calculated from each participant ’ s T1-weighted MPRAGE image using a residual method to account for individual differences in brain size (Jack et al., 1989).”
Saker, Z., Rizk, M., Merie, D., Nabha, R. H., Pariseau, N. J., Nabha, S. M., & Makki, M. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16364 · Cited by 9
“It has been shown that the hippocampus is asymmetric in children and adults without any sex effect (Jack et al., 1989; Szabo et al., 2001).”
BackgroundReducing Individual Variation for fMRI Studies in Children by Minimizing Template Related Errors
Weng, J., Dong, S., He, H., Chen, F., & Peng, X. (2015) · PLoS ONE · doi:10.1371/journal.pone.0134195 · Cited by 8
“This result is consistent with previous morphometric analyses using specific statistical correction procedures that suggested that employing brain anatomic information as a covariate in group analyses may be valuable in specific populations [34, 35].”
ResultMR Volumetry of Hippocampus in Normal Adult Malay of Age 50 Years Old and Above.
Embong, M. F., Yaacob, R., Abdullah, M. S., Karim, A. H. A., Ghazali, A. K., & Jalaluddin, W. M. S. (2013) · Europe PMC (PubMed Central) · Cited by 8
Quek, Y., Fung, Y. L., Cheung, M. W. ‐., Vogrin, S. J., Collins, S. J., & Bowden, S. C. (2021) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.28037 · Cited by 8
Matsufuji, M., Utsunomiya, H., Inoue, T., Yasumoto, S., Takashima, S., & Mitsudome, A. (2011) · Pediatrics International · doi:10.1111/j.1442-200x.2011.03444.x · Cited by 8
Dam, M. (1996) · Acta Neurologica Scandinavica · doi:10.1111/j.1600-0404.1996.tb07034.x · Cited by 8
Nichols, E. S., Grace, M., Correa, S., de Vrijer, B., Eagleson, R. A., McKenzie, C. A., de Ribaupierre, S., & Duerden, E. G. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad421 · Cited by 11
Padova, D., Ratnanather, J. T., Xue, Q., Resnick, S. M., & Agrawal, Y. (2021) · Aperture Neuro · doi:10.52294/6727e860-95c1-445c-a47a-177d9e699d46 · Cited by 7
Li, Y., Wang, M., Cong, L., Hou, T., Song, L., Wang, X., Shi, L., Dekhtyar, S., Wang, Y., Du, Y., et al. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-220864 · Cited by 7
Tae, W., Joo, E. Y., Kim, S. T., & Hong, S. B. (2009) · Korean Journal of Radiology · doi:10.3348/kjr.2010.11.1.25 · Cited by 7
“The right hippocampus has been reported to be larger than the left hippocampus in the normal population (23, 24), and a previous study showed that right mTLE showed more frequent propagations of ictal discharges to the contralateral hemisphere (9).”
Some methodological issues in neuroradiological research in psychiatry
Becker, T., Retz, W., Hofmann, E. P., Becker, G., Teichmann, E., & Gsell, W. (1995) · Journal of Neural Transmission · doi:10.1007/bf01271468 · Cited by 7
Fallahi, M. S., Sahebekhtiari, K., Hosseini, H., Aliasin, M. M., Noroozi, M., Fard, A. M., Aarabi, M. H., Gulisashvili, D., Shafie, M., & Mayeli, M. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00904-8 · Cited by 6
“After adjustment for total intracranial volume, women were reported to have larger HC volume (Filipek et al., 1994; Giedd et al., 1996; Murphy et al., 1996), whereas some studies showed no sex-related differences in HC size (Bueller et al., 2006; Jack et al., 1989; Perlaki et al., 2014).”
Experience-Dependent Neuroplasticity in the Hippocampus of Bilingual Young Adults
Gallo, F., Voits, T., Rothman, J., Abutalebi, J., Юрьевич, Ш. Ю., & Myachykov, A. (2025) · eNeuro · doi:10.1523/eneuro.0128-25.2025 · Cited by 7
“Finally, individual hippocampal GMVs were normalized against TIV following the procedure presented in Jack et al. (1989), to control for individual differences in the brain size.”
Image Processing: Global and Regional Changes With Age
Killiany, R., Meier, D. S., & Guttmann, C. R. G. (2004) · Topics in Magnetic Resonance Imaging · doi:10.1097/01.rmr.0000175131.63152.53 · Cited by 6
“69 In contrast, three studies 18,70,71 have reported a lack of correlation between hippocampal volume and age.”
Zhang, W., Zhao, Q., Hu, Y., Shao, M., Lu, J., Wang, J., Li, M., Zhang, X., Nedelská, Z., Hort, J., et al. (2020) · Clinical Interventions in Aging · doi:10.2147/cia.s273185 · Cited by 6
A Mixed-Effects Model of Associations Between Interleukin-6 and Hippocampal Volume
Harrell, E. R., Bui, C., Newman, S. D., & Initiative, A. D. N. (2021) · The Journals of Gerontology Series A · doi:10.1093/gerona/glab313 · Cited by 7
“For example, the right hippocampus is larger than the left in individuals experiencing normative aging (27,28), and this asymmetry is apparently decreased in AD (29).”
Anterior to posterior hippocampal MRS metabolite difference is mainly a partial volume effect
Starck, G., Vkhoff-Baaz, B., Ljungberg, M., et al. (2010) · Acta Radiologica · doi:10.3109/02841850903540401 · Cited by 6
Evaluation of hippocampal infolding using magnetic resonance imaging
Okada, Y., Kato, T., Iwai, K., et al. (2003) · Neuroreport · doi:10.1097/00001756-200307180-00025 · Cited by 6
Andermann, F. (1994) · Springer eBooks · doi:10.1007/978-1-4615-2546-2_3 · Cited by 6
Triolo, F., Grande, G., Ekström, I., Laukka, E. J., Fors, S., Marseglia, A., & Dekhtyar, S. (2025) · Cortex · doi:10.1016/j.cortex.2025.02.001 · Cited by 5
Lerch, O., Laczó, M., Vyhnálek, M., Nedelská, Z., Hort, J., & Laczó, J. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215034 · Cited by 5
“B ∗ (eTIV individual – eTIV mean ), where mean eTIV = average eTIV of all participants and B = the slope of the individual volume regression on eTIV [27, 66].”
Li, W., Zhang, Y.-Z., Li, W., Gao, Y., Li, Y., & Wu, J. (2012) · Neurology India · doi:10.4103/0028-3886.93585 · Cited by 5
“[10,17-20] As the pediatric HC is still developing, it is smaller and less well-defined than that observed in adults and thus both automatic and manual Figure 2: Segment of hippocampus images of a male normal control child at 8.”
BackgroundMethodInfluentialLv, X., Guo, Z., Tang, L., Li, Z., Lin, X., Li, J., Han, L., Qiu, Y., & Mai, H. (2021) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-20-662 · Cited by 5
“Estimated total intracranial volume (29,30) (TIV) was used as a covariate in all correlational analyses involving brain variables to compensate for inter-individual differences in head size.”
MethodBuller‐Peralta, I., Gregory, S., Low, A., Dounavi, M., Bridgeman, K., Ntailianis, G., LAWLOR, B. A., Naçi, L., Koychev, I. G., Malhotra, P., et al. (2024) · Scientific Reports · doi:10.1038/s41598-023-49656-3 · Cited by 5
“To correct for interindividual variations in intracranial volumes, all volumetric variables were adjusted by the residual correction method 27 of a least-square-derived linear regression between raw volumes and the estimated intracranial volume (eICV), or the estimated total intracranial volume…”
Radiological determination of the posterior limits of the temporal lobe for volumetric analysis
Doherty, C. P., Meredith, G. E., Farrell, M., Toland, J. A., & Staunton, H. (1999) · Brain Research Protocols · doi:10.1016/s1385-299x(98)00053-1 · Cited by 5
Cascino, G. D., Sharbrough, F. W., Jack, C. R., Parisi, J. E., & O’Brien, P. C. (1992) · Journal of Epilepsy · doi:10.1016/s0896-6974(05)80020-9 · Cited by 5
Self-citationChaar, D., Tu, L., Moore, K., Du, J., Opsasnick, L. A., Ratliff, S. M., Mosley, T. H., Kardia, S. L. R., Zhao, W., Zhou, X., et al. (2025) · BMC Medicine · doi:10.1186/s12916-024-03845-7 · Cited by 5
Homayouni, R., Daugherty, A. M., Yu, Q., Raz, N., & Ofen, N. (2023) · Brain Structure and Function · doi:10.1007/s00429-023-02716-w · Cited by 4
“Regional volumes were adjusted for intracranial volume (ICV) that was sampled from T 1 -weighted MPRAGE images (interpolated voxel size 0.5 mm × 0.5 mm × 1.0 mm, TE = 4.26 ms, TR = 2200 ms) using an ANCOVA procedure (Jack et al. 1989, see Supplementary Materials).”
MethodInfluential
Metadata
- Authors
- Jack, C. R., Twomey, C. K., Zinsmeister, A. R., Sharbrough, F. W., Petersen, R. C., & Cascino, G. D.
- Affiliations
- Mayo Clinic (US)
- Venue
- Radiology
- Published
- 1989-08
- Volume
- 172
- Issue
- 2
- Pages
- 549-554
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2015896685
- Cited by
- 592
- References
- 0
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 14 · 2023: 17 · 2022: 19 · 2021: 16 · 2020: 17 · 2019: 16 · 2018: 17 · 2017: 24 · 2016: 25 · 2015: 31 · 2014: 14 · 2013: 19 · 2012: 23
- FWCI
- 5.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Radiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Hemispheric Asymmetry in Neuroscience
- Health Sciences › Medicine › Anatomy › Classical Anatomy and Histology
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- anterior temporal lobe, hippocampal formation, brain volume, left-right asymmetry, handedness, age effects, sex effects, young adults
- MeSH terms
- Adult, Age Factors, Female, Hippocampus, Humans, Functional Laterality, Magnetic Resonance Imaging, Male, Reference Values, Sex Factors, Temporal Lobe
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