Literature DB >> 2367609

In vivo quantification of the limbic system using MRI: effects of normal aging.

K O Lim1, R B Zipursky, G M Murphy, A Pfefferbaum.   

Abstract

Limbic system structures are of central interest in many neuropsychiatric disorders. Magnetic resonance imaging (MRI) has a unique potential for imaging limbic system structures in vivo, but methodological constraints can limit the usefulness and interpretation of the collected image data. In this article, we present approaches for the acquisition and quantification of high resolution MR images of the limbic system. We used a long TR, cardiac gated, flow compensated, spin echo sequence to collect 22, 3-mm thick contiguous sections encompassing the limbic system. The sections were oriented relative to standard internal neuroanatomical landmarks. The sequence provided good gray matter/white matter/cerebrospinal fluid (CSF) and CSF/bone contrast; the latter is necessary for quantifying intracranial size and total CSF volume. Using operationalized criteria, we achieved high interrater reliability in volumetric measurement of temporal horn and hippocampus. This technique was then used to examine the effect of normal aging by comparing eight young (mean = 24 years) and seven old (mean = 73 years) healthy community members. We were able to demonstrate a significant age-related increase in temporal horn volume and a trend toward an age-related decrease in hippocampal volume.

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Year:  1990        PMID: 2367609     DOI: 10.1016/0925-4927(90)90005-q

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  11 in total

Review 1.  Structural imaging measures of brain aging.

Authors:  Samuel N Lockhart; Charles DeCarli
Journal:  Neuropsychol Rev       Date:  2014-08-22       Impact factor: 7.444

2.  Factors influencing accuracy of cortical thickness in the diagnosis of Alzheimer's disease.

Authors:  Mahanand Belathur Suresh; Bruce Fischl; David H Salat
Journal:  Hum Brain Mapp       Date:  2017-12-21       Impact factor: 5.038

3.  Age-related metabolite changes and volume loss in the hippocampus by magnetic resonance spectroscopy and imaging.

Authors:  N Schuff; D L Amend; R Knowlton; D Norman; G Fein; M W Weiner
Journal:  Neurobiol Aging       Date:  1999 May-Jun       Impact factor: 4.673

Review 4.  Neuroimaging in alcoholism: CT and MRI results and clinical correlates.

Authors:  K Mann; G Mundle; M Strayle; P Wakat
Journal:  J Neural Transm Gen Sect       Date:  1995

5.  Depression duration but not age predicts hippocampal volume loss in medically healthy women with recurrent major depression.

Authors:  Y I Sheline; M Sanghavi; M A Mintun; M H Gado
Journal:  J Neurosci       Date:  1999-06-15       Impact factor: 6.167

6.  Hippocampal blood flow in normal aging measured with arterial spin labeling at 3T.

Authors:  Henry Rusinek; Miroslaw Brys; Lidia Glodzik; Remigiusz Switalski; Wai-Hon Tsui; Francois Haas; Kellyanne McGorty; Qun Chen; Mony J de Leon
Journal:  Magn Reson Med       Date:  2011-01       Impact factor: 4.668

7.  Age effects on hippocampal structural changes in old men: the HAAS.

Authors:  Yuan Xu; Daniel J Valentino; Ann I Scher; Ivo Dinov; Lon R White; Paul M Thompson; Lenore J Launer; Arthur W Toga
Journal:  Neuroimage       Date:  2007-12-27       Impact factor: 6.556

Review 8.  Some methodological issues in neuroradiological research in psychiatry.

Authors:  T Becker; W Retz; E Hofmann; G Becker; E Teichmann; W Gsell
Journal:  J Neural Transm Gen Sect       Date:  1995

9.  Age-associated alterations in cortical gray and white matter signal intensity and gray to white matter contrast.

Authors:  D H Salat; S Y Lee; A J van der Kouwe; D N Greve; B Fischl; H D Rosas
Journal:  Neuroimage       Date:  2009-07-04       Impact factor: 6.556

10.  Multimodal MRI of the hippocampus in Parkinson's disease with visual hallucinations.

Authors:  Nailin Yao; Charlton Cheung; Shirley Pang; Richard Shek-kwan Chang; Kui Kai Lau; John Suckling; Kevin Yu; Henry Ka-Fung Mak; Siew Eng Chua; Shu-Leong Ho; Grainne M McAlonan
Journal:  Brain Struct Funct       Date:  2014-10-07       Impact factor: 3.270

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