Literature DB >> 15699394

Dehydration confounds the assessment of brain atrophy.

T Duning1, S Kloska, O Steinsträter, H Kugel, W Heindel, S Knecht.   

Abstract

Computerized brain volumetry has potential value for diagnosis and the follow-up evaluation of degenerative disorders. A potential pitfall of this method is the extent of physiologic variations in brain volume. The authors show that dehydration and rehydration can significantly change brain volume: lack of fluid intake for 16 hours decreased brain volume by 0.55% (SD, +/-0.69), and after rehydration total cerebral volume increased by 0.72% (SD, +/-0.21).

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Year:  2005        PMID: 15699394     DOI: 10.1212/01.WNL.0000150542.16969.CC

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  69 in total

1.  Dehydration affects brain structure and function in healthy adolescents.

Authors:  Matthew J Kempton; Ulrich Ettinger; Russell Foster; Steven C R Williams; Gemma A Calvert; Adam Hampshire; Fernando O Zelaya; Ruth L O'Gorman; Terry McMorris; Adrian M Owen; Marcus S Smith
Journal:  Hum Brain Mapp       Date:  2011-01       Impact factor: 5.038

Review 2.  Differential aging of the brain: patterns, cognitive correlates and modifiers.

Authors:  Naftali Raz; Karen M Rodrigue
Journal:  Neurosci Biobehav Rev       Date:  2006-08-17       Impact factor: 8.989

3.  Inferring pathobiology from structural MRI in schizophrenia and bipolar disorder: Modeling head motion and neuroanatomical specificity.

Authors:  Nailin Yao; Anderson M Winkler; Jennifer Barrett; Gregory A Book; Tamara Beetham; Rachel Horseman; Olivia Leach; Karen Hodgson; Emma E Knowles; Samuel Mathias; Michael C Stevens; Michal Assaf; Theo G M van Erp; Godfrey D Pearlson; David C Glahn
Journal:  Hum Brain Mapp       Date:  2017-05-08       Impact factor: 5.038

4.  Poor correlation between perihematomal MRI hyperintensity and brain swelling after intracerebral hemorrhage.

Authors:  Allyson R Zazulia; Tom O Videen; Michael N Diringer; William J Powers
Journal:  Neurocrit Care       Date:  2011-12       Impact factor: 3.210

5.  Reliability of longitudinal brain volume loss measurements between 2 sites in patients with multiple sclerosis: comparison of 7 quantification techniques.

Authors:  F Durand-Dubief; B Belaroussi; J P Armspach; M Dufour; S Roggerone; S Vukusic; S Hannoun; D Sappey-Marinier; C Confavreux; F Cotton
Journal:  AJNR Am J Neuroradiol       Date:  2012-07-12       Impact factor: 3.825

6.  Impact of time-of-day on brain morphometric measures derived from T1-weighted magnetic resonance imaging.

Authors:  Aaron Trefler; Neda Sadeghi; Adam G Thomas; Carlo Pierpaoli; Chris I Baker; Cibu Thomas
Journal:  Neuroimage       Date:  2016-02-26       Impact factor: 6.556

7.  Responses of the Human Brain to Mild Dehydration and Rehydration Explored In Vivo by 1H-MR Imaging and Spectroscopy.

Authors:  A Biller; M Reuter; B Patenaude; G A Homola; F Breuer; M Bendszus; A J Bartsch
Journal:  AJNR Am J Neuroradiol       Date:  2015-09-17       Impact factor: 3.825

8.  Head motion during MRI acquisition reduces gray matter volume and thickness estimates.

Authors:  Martin Reuter; M Dylan Tisdall; Abid Qureshi; Randy L Buckner; André J W van der Kouwe; Bruce Fischl
Journal:  Neuroimage       Date:  2014-12-10       Impact factor: 6.556

9.  Within-patient fluctuation of brain volume estimates from short-term repeated MRI measurements using SIENA/FSL.

Authors:  Roland Opfer; Ann-Christin Ostwaldt; Christine Walker-Egger; Praveena Manogaran; Maria Pia Sormani; Nicola De Stefano; Sven Schippling
Journal:  J Neurol       Date:  2018-03-16       Impact factor: 4.849

Review 10.  Magnetic resonance imaging of Huntington's disease: preparing for clinical trials.

Authors:  S Klöppel; S M Henley; N Z Hobbs; R C Wolf; J Kassubek; S J Tabrizi; R S J Frackowiak
Journal:  Neuroscience       Date:  2009-01-29       Impact factor: 3.590

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