Literature DB >> 18063398

Lafora disease: spectroscopy study correlated with neuropsychological findings.

Anna Pichiecchio1, Pierangelo Veggiotti, Simonetta Cardinali, Francesca Longaretti, Guy U Poloni, Carla Uggetti.   

Abstract

PURPOSE: To evaluate the metabolic changes both in grey and white matter in Lafora disease using proton magnetic resonance spectroscopy and to determine the possible correlation with the pattern of cognitive impairment.
METHODS: Five patients with Lafora disease and six healthy controls were included in the study. Patients underwent at the same time-point neuropsychological testing and 1[H]MRS, using PRESS sequences (TE=136 and 25 ms) positioned in the frontal and posterior cingulate gyrus cortexes and in the adjacent frontal and parietal white matter.
RESULTS: Neuropsychological testing showed in all patients a prevalent involvement of performance abilities--with partial sparing of verbal competences--and of executive functions, suggesting a major involvement of frontal areas. Analysis of 1[H]MRS showed a statistically significant reduction in NAA/mI and NAA/Cr in grey matter of patients compared to controls, more significant in frontal regions. In white matter, a significant reduction of NAA/mI ratio was observed both in the frontal and parietal regions, associated with a reduction of the NAA/Cr only in the frontal white matter. NAA/mI was found to be the most statistically significant altered parameter in all regions studied and the only significantly altered ratio in strong correlation with all sets of neuropsychological parameters.
CONCLUSIONS: Our study confirmed the predominant metabolic damage in the frontal cortex, also demonstrating NAA/mI ratio to be the most sensitive parameter to detect metabolic brain changes in Lafora disease; moreover, it evidenced frontal white matter spectroscopic changes. Both spectroscopy values and clinical features of cognitive impairment showed a prevalent frontal impairment.

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Year:  2007        PMID: 18063398     DOI: 10.1016/j.ejpn.2007.09.008

Source DB:  PubMed          Journal:  Eur J Paediatr Neurol        ISSN: 1090-3798            Impact factor:   3.140


  8 in total

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Authors:  Thomas S Monaghan; Norman Delanty
Journal:  CNS Drugs       Date:  2010-07       Impact factor: 5.749

2.  Computation of brain metabolite ratios in single-voxel proton MR spectroscopy: comparison between semiautomatic and automatic software.

Authors:  L N Mazzoni; G Belli; A Ginestroni; A Pratesi; S Agnoloni; S Diciotti; M Mascalchi
Journal:  Radiol Med       Date:  2009-06-26       Impact factor: 3.469

Review 3.  [Lafora disease: a review of the literature].

Authors:  L Desdentado; R Espert; P Sanz; J Tirapu-Ustarroz
Journal:  Rev Neurol       Date:  2019-01-16       Impact factor: 0.870

4.  FDG-PET assessment and metabolic patterns in Lafora disease.

Authors:  Lorenzo Muccioli; Andrea Farolfi; Federica Pondrelli; Giuseppe d'Orsi; Roberto Michelucci; Elena Freri; Laura Canafoglia; Laura Licchetta; Francesco Toni; Rachele Bonfiglioli; Simona Civollani; Cinzia Pettinato; Elisa Maietti; Giorgio Marotta; Stefano Fanti; Paolo Tinuper; Francesca Bisulli
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-12-19       Impact factor: 9.236

Review 5.  Lafora disease.

Authors:  Julie Turnbull; Erica Tiberia; Pasquale Striano; Pierre Genton; Stirling Carpenter; Cameron A Ackerley; Berge A Minassian
Journal:  Epileptic Disord       Date:  2016-09-01       Impact factor: 1.819

6.  Frontal Hypoperfusion and the Effectiveness of Perampanel in Long-Lived Patient with Lafora Disease.

Authors:  Koji Obara; Erika Abe; Itaru Toyoshima
Journal:  Case Rep Neurol       Date:  2021-03-22

7.  Brain proton magnetic resonance spectroscopy findings in a Beagle dog with genetically confirmed Lafora disease.

Authors:  Neringa Alisauskaite; Katrin Beckmann; Matthias Dennler; Niklaus Zölch
Journal:  J Vet Intern Med       Date:  2020-05-17       Impact factor: 3.333

8.  Structural and Functional Brain Abnormalities in Mouse Models of Lafora Disease.

Authors:  Daniel F Burgos; Lorena Cussó; Gentzane Sánchez-Elexpuru; Daniel Calle; Max Bautista Perpinyà; Manuel Desco; José M Serratosa; Marina P Sánchez
Journal:  Int J Mol Sci       Date:  2020-10-20       Impact factor: 5.923

  8 in total

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