OBJECTIVES: To explore volume changes of the entorhinal cortex (ERC) and hippocampus in mild cognitive impairment (MCI) and Alzheimer's disease (AD) compared with normal cognition (NC); to determine the powers of the ERC and the hippocampus for discrimination between these groups. METHODS: This study included 40 subjects with NC, 36 patients with MCI, and 29 patients with AD. Volumes of the ERC and hippocampus were manually measured based on coronal T1 weighted MR images. Global cerebral changes were assessed using semiautomatic image segmentation. RESULTS: Both ERC and hippocampal volumes were reduced in MCI (ERC 13%, hippocampus 11%, p<0.05) and AD (ERC 39%, hippocampus 27%, p<0.01) compared with NC. Furthermore, AD showed greater volume losses in the ERC than in the hippocampus (p<0.01). In addition, AD and MCI also had cortical grey matter loss (p< 0.01) and ventricular enlargement (p<0.01) when compared with NC. There was a significant correlation between ERC and hippocampal volumes in MCI and AD (both p<0.001), but not in NC. Using ERC and hippocampus together improved discrimination between AD and CN but did not improve discrimination between MCI and NC. The ERC was better than the hippocampus for distinguishing MCI from AD. In addition, loss of cortical grey matter significantly contributed to the hippocampus for discriminating MCI and AD from NC. CONCLUSIONS: Volume reductions in the ERC and hippocampus may be early signs of AD pathology that can be measured using MRI.
OBJECTIVES: To explore volume changes of the entorhinal cortex (ERC) and hippocampus in mild cognitive impairment (MCI) and Alzheimer's disease (AD) compared with normal cognition (NC); to determine the powers of the ERC and the hippocampus for discrimination between these groups. METHODS: This study included 40 subjects with NC, 36 patients with MCI, and 29 patients with AD. Volumes of the ERC and hippocampus were manually measured based on coronal T1 weighted MR images. Global cerebral changes were assessed using semiautomatic image segmentation. RESULTS: Both ERC and hippocampal volumes were reduced in MCI (ERC 13%, hippocampus 11%, p<0.05) and AD (ERC 39%, hippocampus 27%, p<0.01) compared with NC. Furthermore, AD showed greater volume losses in the ERC than in the hippocampus (p<0.01). In addition, AD and MCI also had cortical grey matter loss (p< 0.01) and ventricular enlargement (p<0.01) when compared with NC. There was a significant correlation between ERC and hippocampal volumes in MCI and AD (both p<0.001), but not in NC. Using ERC and hippocampus together improved discrimination between AD and CN but did not improve discrimination between MCI and NC. The ERC was better than the hippocampus for distinguishing MCI from AD. In addition, loss of cortical grey matter significantly contributed to the hippocampus for discriminating MCI and AD from NC. CONCLUSIONS: Volume reductions in the ERC and hippocampus may be early signs of AD pathology that can be measured using MRI.
Authors: C Watson; F Andermann; P Gloor; M Jones-Gotman; T Peters; A Evans; A Olivier; D Melanson; G Leroux Journal: Neurology Date: 1992-09 Impact factor: 9.910
Authors: Y Xu; C R Jack; P C O'Brien; E Kokmen; G E Smith; R J Ivnik; B F Boeve; R G Tangalos; R C Petersen Journal: Neurology Date: 2000-05-09 Impact factor: 9.910
Authors: C Geroldi; M Pihlajamäki; M P Laakso; C DeCarli; A Beltramello; A Bianchetti; H Soininen; M Trabucchi; G B Frisoni Journal: Neurology Date: 1999-11-10 Impact factor: 9.910
Authors: R J Killiany; T Gomez-Isla; M Moss; R Kikinis; T Sandor; F Jolesz; R Tanzi; K Jones; B T Hyman; M S Albert Journal: Ann Neurol Date: 2000-04 Impact factor: 10.422
Authors: M P Laakso; H Soininen; K Partanen; E L Helkala; P Hartikainen; P Vainio; M Hallikainen; T Hänninen; P J Riekkinen Journal: J Neural Transm Park Dis Dement Sect Date: 1995
Authors: Kelly S Giovanello; Felipe De Brigard; Jaclyn Hennessey Ford; Daniel I Kaufer; James R Burke; Jeffrey N Browndyke; Kathleen A Welsh-Bohmer Journal: J Int Neuropsychol Soc Date: 2012-05-24 Impact factor: 2.892
Authors: Madhav Thambisetty; Jing Wan; Aaron Carass; Yang An; Jerry L Prince; Susan M Resnick Journal: Neuroimage Date: 2010-05-02 Impact factor: 6.556
Authors: Shannon L Risacher; Li Shen; John D West; Sungeun Kim; Brenna C McDonald; Laurel A Beckett; Danielle J Harvey; Clifford R Jack; Michael W Weiner; Andrew J Saykin Journal: Neurobiol Aging Date: 2010-08 Impact factor: 4.673
Authors: Renée DeVivo; Lauren Zajac; Asim Mian; Anna Cervantes-Arslanian; Eric Steinberg; Michael L Alosco; Jesse Mez; Robert Stern; Ronald Killany Journal: J Int Neuropsychol Soc Date: 2019-05-27 Impact factor: 2.892
Authors: Lubov E Zeifman; William F Eddy; Oscar L Lopez; Lewis H Kuller; Cyrus Raji; Paul M Thompson; James T Becker Journal: J Alzheimers Dis Date: 2015 Impact factor: 4.472
Authors: Jonathan H Morra; Zhuowen Tu; Liana G Apostolova; Amity E Green; Christina Avedissian; Sarah K Madsen; Neelroop Parikshak; Xue Hua; Arthur W Toga; Clifford R Jack; Norbert Schuff; Michael W Weiner; Paul M Thompson Journal: Hum Brain Mapp Date: 2009-09 Impact factor: 5.038
Authors: Nicolas Rouleau; William L Cantley; Volha Liaudanskaya; Alexander Berk; Chuang Du; William Rusk; Emily Peirent; Cole Koester; Thomas J F Nieland; David L Kaplan Journal: Macromol Biosci Date: 2020-02-17 Impact factor: 4.979