Literature DB >> 7908080

Rapidly progressing atrophy of medial temporal lobe in Alzheimer's disease.

K A Jobst1, A D Smith, M Szatmari, M M Esiri, A Jaskowski, N Hindley, B McDonald, A J Molyneux.   

Abstract

The symptoms of Alzheimer's disease are associated with pathological change and loss of neurons in the medial temporal lobe. By yearly temporal-lobe-oriented computed tomograms the average rate of atrophy of the medial temporal lobe was 15.1% per year (95% CI 10.0, 20.2) in 20 patients with histopathologically, confirmed Alzheimer's disease and 1.5% (0.2, 2.8) in 47 healthy ageing controls. Such excessive atrophy presumably reflects the vulnerability of the medial temporal lobe to a catastrophic event, probably a pathological cascade process. Thus, Alzheimer's disease may not be due simply to an acceleration of normal ageing but, rather, is the consequence of a true disease process.

Entities:  

Mesh:

Year:  1994        PMID: 7908080     DOI: 10.1016/s0140-6736(94)92028-1

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  32 in total

1.  Neuropathological quantification of dtg APP/PS1: neuroimaging, stereology, and biochemistry.

Authors:  Kebreten F Manaye; Paul C Wang; Jahn N O'Neil; Sophia Y Huang; Tao Xu; De-Liang Lei; Yousef Tizabi; Mary Ann Ottinger; Donald K Ingram; Peter R Mouton
Journal:  Age (Dordr)       Date:  2007-08-03

2.  Rate of medial temporal lobe atrophy in typical aging and Alzheimer's disease.

Authors:  C R Jack; R C Petersen; Y Xu; P C O'Brien; G E Smith; R J Ivnik; E G Tangalos; E Kokmen
Journal:  Neurology       Date:  1998-10       Impact factor: 9.910

3.  Radial width of the temporal horn: a sensitive measure in Alzheimer disease.

Authors:  Giovanni B Frisoni; Cristina Geroldi; Alberto Beltramello; Angelo Bianchetti; Giuliano Binetti; Giovanni Bordiga; Charles DeCarli; Mikko P Laakso; Hilkka Soininen; Cristina Testa; Orazio Zanetti; Marco Trabucchi
Journal:  AJNR Am J Neuroradiol       Date:  2002-01       Impact factor: 3.825

4.  Clinical Correlation of Abnormal Findings on Magnetic Resonance Elastography in Idiopathic Normal Pressure Hydrocephalus.

Authors:  Avital Perry; Christopher S Graffeo; Nikoo Fattahi; Mona M ElSheikh; Nealey Cray; Arvin Arani; Richard L Ehman; Kevin J Glaser; Armando Manduca; Fredric B Meyer; John Huston
Journal:  World Neurosurg       Date:  2017-01-05       Impact factor: 2.104

5.  Antemortem MRI findings correlate with hippocampal neuropathology in typical aging and dementia.

Authors:  C R Jack; D W Dickson; J E Parisi; Y C Xu; R H Cha; P C O'Brien; S D Edland; G E Smith; B F Boeve; E G Tangalos; E Kokmen; R C Petersen
Journal:  Neurology       Date:  2002-03-12       Impact factor: 9.910

6.  Effect Modifiers of TDP-43-Associated Hippocampal Atrophy Rates in Patients with Alzheimer's Disease Neuropathological Changes.

Authors:  Marina Buciuc; Alexandra M Wennberg; Stephen D Weigand; Melissa E Murray; Matthew L Senjem; Anthony J Spychalla; Bradley F Boeve; David S Knopman; Clifford R Jack; Kejal Kantarci; Joseph E Parisi; Dennis W Dickson; Ronald C Petersen; Jennifer L Whitwell; Keith A Josephs
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

7.  Age-related changes in brain: I. Magnetic resonance imaging measures of temporal lobe volumes in normal subjects.

Authors:  A Convit; M J de Leon; M J Hoptman; C Tarshish; S De Santi; H Rusinek
Journal:  Psychiatr Q       Date:  1995

8.  Dynamics of gray matter loss in Alzheimer's disease.

Authors:  Paul M Thompson; Kiralee M Hayashi; Greig de Zubicaray; Andrew L Janke; Stephen E Rose; James Semple; David Herman; Michael S Hong; Stephanie S Dittmer; David M Doddrell; Arthur W Toga
Journal:  J Neurosci       Date:  2003-02-01       Impact factor: 6.167

9.  Selective inhibition of Alzheimer disease-like tau aggregation by phenothiazines.

Authors:  C M Wischik; P C Edwards; R Y Lai; M Roth; C R Harrington
Journal:  Proc Natl Acad Sci U S A       Date:  1996-10-01       Impact factor: 11.205

10.  The relevance voxel machine (RVoxM): a self-tuning Bayesian model for informative image-based prediction.

Authors:  Mert R Sabuncu; Koen Van Leemput
Journal:  IEEE Trans Med Imaging       Date:  2012-09-19       Impact factor: 10.048

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.