Literature DB >> 19405145

Clinical application of measurement of hippocampal atrophy in degenerative dementias.

Josephine Barnes1, Sebastien Ourselin, Nick C Fox.   

Abstract

Hippocampal atrophy is a characteristic and early feature of Alzheimer's disease. Volumetry of the hippocampus using T1-weighted magnetic resonance imaging (MRI) has been used not only to assess hippocampal involvement in different neurodegenerative diseases as a potential diagnostic biomarker, but also to understand the natural history of diseases, and to track changes in volume over time. Assessing change in structure circumvents issues surrounding interindividual variability and allows assessment of disease progression. Disease-modifying effects of putative therapies are important to assess in clinical trials and are difficult using clinical scales. As a result, there is increasing use of serial MRI in trials to detect potential slowing of atrophy rates as an outcome measure. Automated and yet reliable methods of quantifying such change in the hippocampus would therefore be very valuable. Algorithms capable of measuring such changes automatically have been developed and may be applicable to predict decline to a diagnosis of dementia in the future. This article details the progress in using MRI to understand hippocampal changes in the degenerative dementias and also describes attempts to automate hippocampal segmentation in these diseases. 2009 Wiley-Liss, Inc.

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Mesh:

Year:  2009        PMID: 19405145     DOI: 10.1002/hipo.20617

Source DB:  PubMed          Journal:  Hippocampus        ISSN: 1050-9631            Impact factor:   3.899


  9 in total

1.  Novel whole brain segmentation and volume estimation using quantitative MRI.

Authors:  J West; J B M Warntjes; P Lundberg
Journal:  Eur Radiol       Date:  2011-11-24       Impact factor: 5.315

2.  Midlife memory improvement predicts preservation of hippocampal volume in old age.

Authors:  Paul R Borghesani; Kurt E Weaver; Elizabeth H Aylward; Anne L Richards; Tara M Madhyastha; Ali R Kahn; Olivia Liang; Rachel L Ellenbogen; M Faisal Beg; K Warner Schaie; Sherry L Willis
Journal:  Neurobiol Aging       Date:  2010-11-12       Impact factor: 4.673

3.  Your algorithm might think the hippocampus grows in Alzheimer's disease: Caveats of longitudinal automated hippocampal volumetry.

Authors:  Tejas Sankar; Min Tae M Park; Tasha Jawa; Raihaan Patel; Nikhil Bhagwat; Aristotle N Voineskos; Andres M Lozano; M Mallar Chakravarty
Journal:  Hum Brain Mapp       Date:  2017-03-15       Impact factor: 5.038

4.  Fluctuations in endogenous kynurenic acid control hippocampal glutamate and memory.

Authors:  Ana Pocivavsek; Hui-Qiu Wu; Michelle C Potter; Greg I Elmer; Roberto Pellicciari; Robert Schwarcz
Journal:  Neuropsychopharmacology       Date:  2011-07-27       Impact factor: 7.853

5.  Effect of 5 Years of Exercise Intervention at Different Intensities on Brain Structure in Older Adults from the General Population: A Generation 100 Substudy.

Authors:  Jasmine Pani; Line S Reitlo; Hallvard Røe Evensmoen; Stian Lydersen; Ulrik Wisløff; Dorthe Stensvold; Asta K Håberg
Journal:  Clin Interv Aging       Date:  2021-08-12       Impact factor: 4.458

6.  Acute Kynurenine Challenge Disrupts Sleep-Wake Architecture and Impairs Contextual Memory in Adult Rats.

Authors:  Ana Pocivavsek; Annalisa M Baratta; Jessica A Mong; Shaun S Viechweg
Journal:  Sleep       Date:  2017-11-01       Impact factor: 5.849

7.  Biomarkers to measure treatment effects in Alzheimer's disease: what should we look for?

Authors:  Kenneth Rockwood
Journal:  Int J Alzheimers Dis       Date:  2011-10-18

Review 8.  A systematic review of brain morphometry related to deep brain stimulation outcome in Parkinson's disease.

Authors:  Fengting Wang; Yijie Lai; Yixin Pan; Hongyang Li; Qimin Liu; Bomin Sun
Journal:  NPJ Parkinsons Dis       Date:  2022-10-13

9.  Application of quantitative MRI for brain tissue segmentation at 1.5 T and 3.0 T field strengths.

Authors:  Janne West; Ida Blystad; Maria Engström; Jan B M Warntjes; Peter Lundberg
Journal:  PLoS One       Date:  2013-09-16       Impact factor: 3.240

  9 in total

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