- -

Automated segmentation of medial temporal lobe subregions on in vivo T1-weighted MRI in early stages of Alzheimer's disease

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Automated segmentation of medial temporal lobe subregions on in vivo T1-weighted MRI in early stages of Alzheimer's disease

Show full item record

Xie, L.; Wisse, LEM.; Pluta, J.; De Flores, R.; Piskin, V.; Manjón Herrera, JV.; Wang, H.... (2019). Automated segmentation of medial temporal lobe subregions on in vivo T1-weighted MRI in early stages of Alzheimer's disease. Human Brain Mapping. 40(12):3431-3451. https://doi.org/10.1002/hbm.24607

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/156854

Files in this item

Item Metadata

Title: Automated segmentation of medial temporal lobe subregions on in vivo T1-weighted MRI in early stages of Alzheimer's disease
Author: Xie, Long Wisse, Laura E. M. Pluta, John de Flores, Robin Piskin, Virgine Manjón Herrera, José Vicente Wang, Hongzhi Das, Sandhitsu R. Ding, Song-Lin Wolk, David A. Yushkevich, Paul A.
UPV Unit: Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Issued date:
Abstract:
[EN] Medial temporal lobe (MTL) substructures are the earliest regions affected by neurofibrillary tangle pathology-and thus are promising biomarkers for Alzheimer's disease (AD). However, automatic segmentation of the MTL ...[+]
Subjects: Alzheimer's disease , Anterior and posterior hippocampus , Biomarker , Dura mater , Entorhinal cortex , Mild cognitive impairment , Perirhinal cortex , Segmentation , T1-weighted magnetic resonance imaging , Transentorhinal cortex
Copyrigths: Reconocimiento (by)
Source:
Human Brain Mapping. (issn: 1065-9471 )
DOI: 10.1002/hbm.24607
Publisher:
John Wiley & Sons
Publisher version: https://doi.org/10.1002/hbm.24607
Project ID:
info:eu-repo/grantAgreement/NIH//P30AG010124/
...[+]
info:eu-repo/grantAgreement/NIH//P30AG010124/
info:eu-repo/grantAgreement/NIH//U01AG024904/
info:eu-repo/grantAgreement/NIH//R01EB017255/
info:eu-repo/grantAgreement/NIH//R01AG056014/
info:eu-repo/grantAgreement/NIH//R01AG055005/
info:eu-repo/grantAgreement/NIH//R01AG040271/
info:eu-repo/grantAgreement/DOD//W81XWH-12-2-0012/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-87743-R/ES/DESARROLLO DE UNA PLATAFORMA ONLINE PARA EL ANALISIS ANATOMICO DEL CEREBRO TOLERANTE A LA PRESENCIA DE ALTERACIONES PATOLOGICAS/
[-]
Description: This is the peer reviewed version of the following article: Xie, L, Wisse, LEM, Pluta, J, et al. Automated segmentation of medial temporal lobe subregions on in vivo T1-weighted MRI in early stages of Alzheimer's disease. Hum Brain Mapp. 2019; 40: 3431 3451, which has been published in final form at https://doi.org/10.1002/hbm.24607. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Thanks:
Northern California Institute for Research and Education; Foundation for the National Institutes of Health; Canadian Institutes of Health Research; Transition Therapeutics; Takeda Pharmaceutical Company; Servier; Piramal ...[+]
Type: Artículo

References

Apostolova, L. G., Green, A. E., Babakchanian, S., Hwang, K. S., Chou, Y.-Y., Toga, A. W., & Thompson, P. M. (2012). Hippocampal Atrophy and Ventricular Enlargement in Normal Aging, Mild Cognitive Impairment (MCI), and Alzheimer Disease. Alzheimer Disease & Associated Disorders, 26(1), 17-27. doi:10.1097/wad.0b013e3182163b62

Augustinack, J. C., Huber, K. E., Stevens, A. A., Roy, M., Frosch, M. P., van der Kouwe, A. J. W., … Fischl, B. (2013). Predicting the location of human perirhinal cortex, Brodmann’s area 35, from MRI. NeuroImage, 64, 32-42. doi:10.1016/j.neuroimage.2012.08.071

AVANTS, B., EPSTEIN, C., GROSSMAN, M., & GEE, J. (2008). Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain. Medical Image Analysis, 12(1), 26-41. doi:10.1016/j.media.2007.06.004 [+]
Apostolova, L. G., Green, A. E., Babakchanian, S., Hwang, K. S., Chou, Y.-Y., Toga, A. W., & Thompson, P. M. (2012). Hippocampal Atrophy and Ventricular Enlargement in Normal Aging, Mild Cognitive Impairment (MCI), and Alzheimer Disease. Alzheimer Disease & Associated Disorders, 26(1), 17-27. doi:10.1097/wad.0b013e3182163b62

Augustinack, J. C., Huber, K. E., Stevens, A. A., Roy, M., Frosch, M. P., van der Kouwe, A. J. W., … Fischl, B. (2013). Predicting the location of human perirhinal cortex, Brodmann’s area 35, from MRI. NeuroImage, 64, 32-42. doi:10.1016/j.neuroimage.2012.08.071

AVANTS, B., EPSTEIN, C., GROSSMAN, M., & GEE, J. (2008). Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain. Medical Image Analysis, 12(1), 26-41. doi:10.1016/j.media.2007.06.004

Bender, A. R., Keresztes, A., Bodammer, N. C., Shing, Y. L., Werkle‐Bergner, M., Daugherty, A. M., … Raz, N. (2017). Optimization and validation of automated hippocampal subfield segmentation across the lifespan. Human Brain Mapping, 39(2), 916-931. doi:10.1002/hbm.23891

Berron, D., Vieweg, P., Hochkeppler, A., Pluta, J. B., Ding, S.-L., Maass, A., … Wisse, L. E. M. (2017). A protocol for manual segmentation of medial temporal lobe subregions in 7 Tesla MRI. NeuroImage: Clinical, 15, 466-482. doi:10.1016/j.nicl.2017.05.022

BOBINSKI, M., WEGIEL, J., TARNAWSKI, M., BOBINSKI, M., REISBERG, B., DE LEON, M. J., … WISNIEWSKI, H. M. (1997). Relationships between Regional Neuronal Loss and Neurofibrillary Changes in the Hippocampal Formation and Duration and Severity of Alzheimer Disease. Journal of Neuropathology and Experimental Neurology, 56(4), 414-420. doi:10.1097/00005072-199704000-00010

Boccardi, M., Bocchetta, M., Apostolova, L. G., Barnes, J., Bartzokis, G., Corbetta, G., … Frisoni, G. B. (2015). Delphi definition of the EADC-ADNI Harmonized Protocol for hippocampal segmentation on magnetic resonance. Alzheimer’s & Dementia, 11(2), 126-138. doi:10.1016/j.jalz.2014.02.009

Boccardi, M., Bocchetta, M., Morency, F. C., Collins, D. L., Nishikawa, M., Ganzola, R., … Frisoni, G. B. (2015). Training labels for hippocampal segmentation based on the EADC-ADNI harmonized hippocampal protocol. Alzheimer’s & Dementia, 11(2), 175-183. doi:10.1016/j.jalz.2014.12.002

Braak, H., & Braak, E. (1991). Neuropathological stageing of Alzheimer-related changes. Acta Neuropathologica, 82(4), 239-259. doi:10.1007/bf00308809

Braak, H., & Braak, E. (1995). Staging of alzheimer’s disease-related neurofibrillary changes. Neurobiology of Aging, 16(3), 271-278. doi:10.1016/0197-4580(95)00021-6

Chan, D., Fox, N. C., Scahill, R. I., Crum, W. R., Whitwell, J. L., Leschziner, G., … Rossor, M. N. (2001). Patterns of temporal lobe atrophy in semantic dementia and Alzheimer’s disease. Annals of Neurology, 49(4), 433-442. doi:10.1002/ana.92

Chételat, G., Fouquet, M., Kalpouzos, G., Denghien, I., De la Sayette, V., Viader, F., … Desgranges, B. (2008). Three-dimensional surface mapping of hippocampal atrophy progression from MCI to AD and over normal aging as assessed using voxel-based morphometry. Neuropsychologia, 46(6), 1721-1731. doi:10.1016/j.neuropsychologia.2007.11.037

Collins, D. L., & Pruessner, J. C. (2010). Towards accurate, automatic segmentation of the hippocampus and amygdala from MRI by augmenting ANIMAL with a template library and label fusion. NeuroImage, 52(4), 1355-1366. doi:10.1016/j.neuroimage.2010.04.193

Coupé, P., Manjón, J. V., Fonov, V., Pruessner, J., Robles, M., & Collins, D. L. (2011). Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation. NeuroImage, 54(2), 940-954. doi:10.1016/j.neuroimage.2010.09.018

Das, S. R., Mancuso, L., Olson, I. R., Arnold, S. E., & Wolk, D. A. (2015). Short-Term Memory Depends on Dissociable Medial Temporal Lobe Regions in Amnestic Mild Cognitive Impairment. Cerebral Cortex, 26(5), 2006-2017. doi:10.1093/cercor/bhv022

Das, S. R., Pluta, J., Mancuso, L., Kliot, D., Yushkevich, P. A., & Wolk, D. A. (2015). Anterior and posterior MTL networks in aging and MCI. Neurobiology of Aging, 36, S141-S150.e1. doi:10.1016/j.neurobiolaging.2014.03.041

Davies, R. R., Halliday, G. M., Xuereb, J. H., Kril, J. J., & Hodges, J. R. (2009). The neural basis of semantic memory: Evidence from semantic dementia. Neurobiology of Aging, 30(12), 2043-2052. doi:10.1016/j.neurobiolaging.2008.02.005

De Flores, R., La Joie, R., & Chételat, G. (2015). Structural imaging of hippocampal subfields in healthy aging and Alzheimer’s disease. Neuroscience, 309, 29-50. doi:10.1016/j.neuroscience.2015.08.033

De Flores, R., La Joie, R., Landeau, B., Perrotin, A., Mézenge, F., de La Sayette, V., … Chételat, G. (2014). Effects of age and Alzheimer’s disease on hippocampal subfields. Human Brain Mapping, 36(2), 463-474. doi:10.1002/hbm.22640

De Vita, E., Thomas, D. L., Roberts, S., Parkes, H. G., Turner, R., Kinchesh, P., … Ordidge, R. J. (2003). High resolution MRI of the brain at 4.7 Tesla using fast spin echo imaging. The British Journal of Radiology, 76(909), 631-637. doi:10.1259/bjr/69317841

Delli Pizzi, S., Franciotti, R., Bubbico, G., Thomas, A., Onofrj, M., & Bonanni, L. (2016). Atrophy of hippocampal subfields and adjacent extrahippocampal structures in dementia with Lewy bodies and Alzheimer’s disease. Neurobiology of Aging, 40, 103-109. doi:10.1016/j.neurobiolaging.2016.01.010

Dice, L. R. (1945). Measures of the Amount of Ecologic Association Between Species. Ecology, 26(3), 297-302. doi:10.2307/1932409

Dickerson, B. C., Goncharova, I., Sullivan, M. P., Forchetti, C., Wilson, R. S., Bennett, D. A., … deToledo-Morrell, L. (2001). MRI-derived entorhinal and hippocampal atrophy in incipient and very mild Alzheimer’s disease ☆ ☆This research was supported by grants P01 AG09466 and P30 AG10161 from the National Institute on Aging, National Institutes of Health. Neurobiology of Aging, 22(5), 747-754. doi:10.1016/s0197-4580(01)00271-8

Ding, S.-L., & Van Hoesen, G. W. (2010). Borders, extent, and topography of human perirhinal cortex as revealed using multiple modern neuroanatomical and pathological markers. Human Brain Mapping, 31(9), 1359-1379. doi:10.1002/hbm.20940

Ding, S.-L., Van Hoesen, G. W., Cassell, M. D., & Poremba, A. (2009). Parcellation of human temporal polar cortex: A combined analysis of multiple cytoarchitectonic, chemoarchitectonic, and pathological markers. The Journal of Comparative Neurology, 514(6), 595-623. doi:10.1002/cne.22053

Ekstrom, A. D., Bazih, A. J., Suthana, N. A., Al-Hakim, R., Ogura, K., Zeineh, M., … Bookheimer, S. Y. (2009). Advances in high-resolution imaging and computational unfolding of the human hippocampus. NeuroImage, 47(1), 42-49. doi:10.1016/j.neuroimage.2009.03.017

Fischl, B. (2012). FreeSurfer. NeuroImage, 62(2), 774-781. doi:10.1016/j.neuroimage.2012.01.021

Fischl, B., Stevens, A. A., Rajendran, N., Yeo, B. T. T., Greve, D. N., Van Leemput, K., … Augustinack, J. C. (2009). Predicting the location of entorhinal cortex from MRI. NeuroImage, 47(1), 8-17. doi:10.1016/j.neuroimage.2009.04.033

Frisoni, G. B., Jack, C. R., Bocchetta, M., Bauer, C., Frederiksen, K. S., Liu, Y., … Cavedo, E. (2015). The EADC-ADNI Harmonized Protocol for manual hippocampal segmentation on magnetic resonance: Evidence of validity. Alzheimer’s & Dementia, 11(2), 111-125. doi:10.1016/j.jalz.2014.05.1756

Fukutani, Y., Kobayashi, K., Nakamura, I., Watanabe, K., Isaki, K., & Cairns, N. J. (1995). Neurons, intracellular and extracellular neurofibrillary tangles in subdivisions of the hippocampal cortex in normal ageing and Alzheimer’s disease. Neuroscience Letters, 200(1), 57-60. doi:10.1016/0304-3940(95)12083-g

Glasser, M. F., Sotiropoulos, S. N., Wilson, J. A., Coalson, T. S., Fischl, B., Andersson, J. L., … Jenkinson, M. (2013). The minimal preprocessing pipelines for the Human Connectome Project. NeuroImage, 80, 105-124. doi:10.1016/j.neuroimage.2013.04.127

Greene, S. J., & Killiany, R. J. (2011). Hippocampal Subregions are Differentially Affected in the Progression to Alzheimer’s Disease. The Anatomical Record: Advances in Integrative Anatomy and Evolutionary Biology, 295(1), 132-140. doi:10.1002/ar.21493

Hu, S., Coupé, P., Pruessner, J. C., & Collins, D. L. (2012). Nonlocal regularization for active appearance model: Application to medial temporal lobe segmentation. Human Brain Mapping, 35(2), 377-395. doi:10.1002/hbm.22183

Iglesias, J. E., Augustinack, J. C., Nguyen, K., Player, C. M., Player, A., Wright, M., … Van Leemput, K. (2015). A computational atlas of the hippocampal formation using ex vivo , ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI. NeuroImage, 115, 117-137. doi:10.1016/j.neuroimage.2015.04.042

Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Feldman, H. H., Frisoni, G. B., … Dubois, B. (2016). A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers. Neurology, 87(5), 539-547. doi:10.1212/wnl.0000000000002923

Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., … Harvey, D. (2008). The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods. Journal of Magnetic Resonance Imaging, 27(4), 685-691. doi:10.1002/jmri.21049

Kim, H., Caldairou, B., Bernasconi, A., & Bernasconi, N. (2018). Multi-Template Mesiotemporal Lobe Segmentation: Effects of Surface and Volume Feature Modeling. Frontiers in Neuroinformatics, 12. doi:10.3389/fninf.2018.00039

Kivisaari, S. L., Probst, A., & Taylor, K. I. (2013). The Perirhinal, Entorhinal, and Parahippocampal Cortices and Hippocampus: An Overview of Functional Anatomy and Protocol for Their Segmentation in MR Images. fMRI, 239-267. doi:10.1007/978-3-642-34342-1_19

Krumm, S., Kivisaari, S. L., Probst, A., Monsch, A. U., Reinhardt, J., Ulmer, S., … Taylor, K. I. (2016). Cortical thinning of parahippocampal subregions in very early Alzheimer’s disease. Neurobiology of Aging, 38, 188-196. doi:10.1016/j.neurobiolaging.2015.11.001

Landau, S. M., Mintun, M. A., Joshi, A. D., Koeppe, R. A., Petersen, R. C., … Aisen, P. S. (2012). Amyloid deposition, hypometabolism, and longitudinal cognitive decline. Annals of Neurology, 72(4), 578-586. doi:10.1002/ana.23650

Lehmann, M., Douiri, A., Kim, L. G., Modat, M., Chan, D., Ourselin, S., … Fox, N. C. (2010). Atrophy patterns in Alzheimer’s disease and semantic dementia: A comparison of FreeSurfer and manual volumetric measurements. NeuroImage, 49(3), 2264-2274. doi:10.1016/j.neuroimage.2009.10.056

Leow, A. D., Klunder, A. D., Jack, C. R., Toga, A. W., Dale, A. M., Bernstein, M. A., … Thompson, P. M. (2006). Longitudinal stability of MRI for mapping brain change using tensor-based morphometry. NeuroImage, 31(2), 627-640. doi:10.1016/j.neuroimage.2005.12.013

Leung, K. K., Barnes, J., Ridgway, G. R., Bartlett, J. W., Clarkson, M. J., Macdonald, K., … Ourselin, S. (2010). Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer’s disease. NeuroImage, 51(4), 1345-1359. doi:10.1016/j.neuroimage.2010.03.018

Mah, L., Binns, M. A., & Steffens, D. C. (2015). Anxiety Symptoms in Amnestic Mild Cognitive Impairment Are Associated with Medial Temporal Atrophy and Predict Conversion to Alzheimer Disease. The American Journal of Geriatric Psychiatry, 23(5), 466-476. doi:10.1016/j.jagp.2014.10.005

Malykhin, N. V., Bouchard, T. P., Camicioli, R., & Coupland, N. J. (2008). Aging hippocampus and amygdala. NeuroReport, 19(5), 543-547. doi:10.1097/wnr.0b013e3282f8b18c

Malykhin, N. V., Bouchard, T. P., Ogilvie, C. J., Coupland, N. J., Seres, P., & Camicioli, R. (2007). Three-dimensional volumetric analysis and reconstruction of amygdala and hippocampal head, body and tail. Psychiatry Research: Neuroimaging, 155(2), 155-165. doi:10.1016/j.pscychresns.2006.11.011

Manjón, J. V., Coupé, P., Buades, A., Fonov, V., Louis Collins, D., & Robles, M. (2010). Non-local MRI upsampling. Medical Image Analysis, 14(6), 784-792. doi:10.1016/j.media.2010.05.010

Martin, S. B., Smith, C. D., Collins, H. R., Schmitt, F. A., & Gold, B. T. (2010). Evidence that volume of anterior medial temporal lobe is reduced in seniors destined for mild cognitive impairment. Neurobiology of Aging, 31(7), 1099-1106. doi:10.1016/j.neurobiolaging.2008.08.010

Mishra, S., Gordon, B. A., Su, Y., Christensen, J., Friedrichsen, K., Jackson, K., … Benzinger, T. L. S. (2017). AV-1451 PET imaging of tau pathology in preclinical Alzheimer disease: Defining a summary measure. NeuroImage, 161, 171-178. doi:10.1016/j.neuroimage.2017.07.050

Mufson, E. J., & Pandya, D. N. (1984). Some observations on the course and composition of the cingulum bundle in the rhesus monkey. The Journal of Comparative Neurology, 225(1), 31-43. doi:10.1002/cne.902250105

Olsen, R. K., Palombo, D. J., Rabin, J. S., Levine, B., Ryan, J. D., & Rosenbaum, R. S. (2013). Volumetric analysis of medial temporal lobe subregions in developmental amnesia using high‐resolution magnetic resonance imaging. Hippocampus, 23(10), 855-860. doi:10.1002/hipo.22153

Olsen, R. K., Yeung, L.-K., Noly-Gandon, A., D’Angelo, M. C., Kacollja, A., Smith, V. M., … Barense, M. D. (2017). Human anterolateral entorhinal cortex volumes are associated with cognitive decline in aging prior to clinical diagnosis. Neurobiology of Aging, 57, 195-205. doi:10.1016/j.neurobiolaging.2017.04.025

Palmqvist, S., Schöll, M., Strandberg, O., Mattsson, N., Stomrud, E., Zetterberg, H., … Hansson, O. (2017). Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity. Nature Communications, 8(1). doi:10.1038/s41467-017-01150-x

Pasquini, L., Scherr, M., Tahmasian, M., Myers, N. E., Ortner, M., Kurz, A., … Sorg, C. (2016). Increased Intrinsic Activity of Medial-Temporal Lobe Subregions is Associated with Decreased Cortical Thickness of Medial-Parietal Areas in Patients with Alzheimer’s Disease Dementia. Journal of Alzheimer’s Disease, 51(1), 313-326. doi:10.3233/jad-150823

Petersen, R. C. (2004). Mild cognitive impairment as a diagnostic entity. Journal of Internal Medicine, 256(3), 183-194. doi:10.1111/j.1365-2796.2004.01388.x

Petersen, R. C., Roberts, R. O., Knopman, D. S., Boeve, B. F., Geda, Y. E., Ivnik, R. J., … Jack, C. R. (2009). Mild Cognitive Impairment. Archives of Neurology, 66(12). doi:10.1001/archneurol.2009.266

Preston, A. R., Bornstein, A. M., Hutchinson, J. B., Gaare, M. E., Glover, G. H., & Wagner, A. D. (2010). High-resolution fMRI of Content-sensitive Subsequent Memory Responses in Human Medial Temporal Lobe. Journal of Cognitive Neuroscience, 22(1), 156-173. doi:10.1162/jocn.2009.21195

Qiu, A., Fennema-Notestine, C., Dale, A. M., & Miller, M. I. (2009). Regional shape abnormalities in mild cognitive impairment and Alzheimer’s disease. NeuroImage, 45(3), 656-661. doi:10.1016/j.neuroimage.2009.01.013

Wisse, L. E. M., Gerritsen, L., Zwanenburg, J. J. M., Kuijf, H. J., Luijten, P. R., Biessels, G. J., & Geerlings, M. I. (2012). Subfields of the hippocampal formation at 7T MRI: In vivo volumetric assessment. NeuroImage, 61(4), 1043-1049. doi:10.1016/j.neuroimage.2012.03.023

Wisse, L. E. M., Biessels, G. J., & Geerlings, M. I. (2014). A Critical Appraisal of the Hippocampal Subfield Segmentation Package in FreeSurfer. Frontiers in Aging Neuroscience, 6. doi:10.3389/fnagi.2014.00261

Witter, M., Van Hoesen, G., & Amaral, D. (1989). Topographical organization of the entorhinal projection to the dentate gyrus of the monkey. The Journal of Neuroscience, 9(1), 216-228. doi:10.1523/jneurosci.09-01-00216.1989

Wolk, D. A., & Dickerson, B. C. (2011). Fractionating verbal episodic memory in Alzheimer’s disease. NeuroImage, 54(2), 1530-1539. doi:10.1016/j.neuroimage.2010.09.005

Xie, L., Shinohara, R. T., Ittyerah, R., Kuijf, H. J., Pluta, J. B., Blom, K., … Wisse, L. E. M. (2018). Automated Multi-Atlas Segmentation of Hippocampal and Extrahippocampal Subregions in Alzheimer’s Disease at 3T and 7T: What Atlas Composition Works Best? Journal of Alzheimer’s Disease, 63(1), 217-225. doi:10.3233/jad-170932

Yushkevich, P. A., Piven, J., Hazlett, H. C., Smith, R. G., Ho, S., Gee, J. C., & Gerig, G. (2006). User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. NeuroImage, 31(3), 1116-1128. doi:10.1016/j.neuroimage.2006.01.015

Zeineh, M. M., Engel, S. A., Thompson, P. M., & Bookheimer, S. Y. (2001). Unfolding the human hippocampus with high resolution structural and functional MRI. The Anatomical Record, 265(2), 111-120. doi:10.1002/ar.1061

[-]

recommendations

 

This item appears in the following Collection(s)

Show full item record