Literature DB >> 24912471

MP2RAGE provides new clinically-compatible correlates of mild cognitive deficits in relapsing-remitting multiple sclerosis.

Samanta Simioni1, Fabio Amarù, Guillaume Bonnier, Tobias Kober, David Rotzinger, Renaud Du Pasquier, Myriam Schluep, Reto Meuli, Andrea Sbarbati, Jean-Philippe Thiran, Gunnar Krueger, Cristina Granziera.   

Abstract

Despite that cognitive impairment is a known early feature present in multiple sclerosis (MS) patients, the biological substrate of cognitive deficits in MS remains elusive. In this study, we assessed whether T1 relaxometry, as obtained in clinically acceptable scan times by the recent Magnetization Prepared 2 Rapid Acquisition Gradient Echoes (MP2RAGE) sequence, may help identifying the structural correlate of cognitive deficits in relapsing-remitting MS patients (RRMS). Twenty-nine healthy controls (HC) and forty-nine RRMS patients underwent high-resolution 3T magnetic resonance imaging to obtain optimal cortical lesion (CL) and white matter lesion (WML) count/volume and T1 relaxation times. T1 z scores were then obtained between T1 relaxation times in lesion and the corresponding HC tissue. Patient cognitive performance was tested using the Brief Repeatable Battery of Neuro-psychological Tests. Multivariate analysis was applied to assess the contribution of MRI variables (T1 z scores, lesion count/volume) to cognition in patients and Bonferroni correction was applied for multiple comparison. T1 z scores were higher in WML (p < 0.001) and CL-I (p < 0.01) than in the corresponding normal-appearing tissue in patients, indicating relative microstructural loss. (1) T1 z scores in CL-I (p = 0.01) and the number of CL-II (p = 0.04) were predictors of long-term memory; (2) T1 z scores in CL-I (β = 0.3; p = 0.03) were independent determinants of long-term memory storage, and (3) lesion volume did not significantly influenced cognitive performances in patients. Our study supports evidence that T1 relaxometry from MP2RAGE provides information about microstructural properties in CL and WML and improves correlation with cognition in RRMS patients, compared to conventional measures of disease burden.

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Year:  2014        PMID: 24912471     DOI: 10.1007/s00415-014-7398-4

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  40 in total

1.  Cognitive function and fMRI in patients with multiple sclerosis: evidence for compensatory cortical activation during an attention task.

Authors:  W Staffen; A Mair; H Zauner; J Unterrainer; H Niederhofer; A Kutzelnigg; S Ritter; S Golaszewski; B Iglseder; G Ladurner
Journal:  Brain       Date:  2002-06       Impact factor: 13.501

2.  Accumulation of cortical lesions in MS: relation with cognitive impairment.

Authors:  S D Roosendaal; B Moraal; P J W Pouwels; H Vrenken; J A Castelijns; F Barkhof; J J G Geurts
Journal:  Mult Scler       Date:  2009-05-12       Impact factor: 6.312

3.  TI-relaxation time changes over five years in relapsing-remitting multiple sclerosis.

Authors:  Konstantinos Papadopoulos; Daniel J Tozer; Leonora Fisniku; Daniel R Altmann; Gerard Davies; Waqar Rashid; Alan J Thompson; David H Miller; Declan T Chard
Journal:  Mult Scler       Date:  2010-01-19       Impact factor: 6.312

4.  A four-dimensional registration algorithm with application to joint correction of motion and slice timing in fMRI.

Authors:  Alexis Roche
Journal:  IEEE Trans Med Imaging       Date:  2011-03-22       Impact factor: 10.048

Review 5.  Multiple sclerosis-related cognitive changes: a review of cross-sectional and longitudinal studies.

Authors:  Maria Pia Amato; Valentina Zipoli; Emilio Portaccio
Journal:  J Neurol Sci       Date:  2006-04-27       Impact factor: 3.181

6.  The brief repeatable battery of neuropsychological tests: normative values allow application in multiple sclerosis clinical practice.

Authors:  J B Boringa; R H Lazeron; I E Reuling; H J Adèr; L Pfennings; J Lindeboom; L M de Sonneville; N F Kalkers; C H Polman
Journal:  Mult Scler       Date:  2001-08       Impact factor: 6.312

7.  Cognitive dysfunction in multiple sclerosis. I. Frequency, patterns, and prediction.

Authors:  S M Rao; G J Leo; L Bernardin; F Unverzagt
Journal:  Neurology       Date:  1991-05       Impact factor: 9.910

8.  The hospital anxiety and depression scale.

Authors:  A S Zigmond; R P Snaith
Journal:  Acta Psychiatr Scand       Date:  1983-06       Impact factor: 6.392

9.  Water content and myelin water fraction in multiple sclerosis. A T2 relaxation study.

Authors:  C Laule; I M Vavasour; G R W Moore; J Oger; D K B Li; D W Paty; A L MacKay
Journal:  J Neurol       Date:  2004-03       Impact factor: 4.849

10.  Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis.

Authors:  W I McDonald; A Compston; G Edan; D Goodkin; H P Hartung; F D Lublin; H F McFarland; D W Paty; C H Polman; S C Reingold; M Sandberg-Wollheim; W Sibley; A Thompson; S van den Noort; B Y Weinshenker; J S Wolinsky
Journal:  Ann Neurol       Date:  2001-07       Impact factor: 10.422

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  14 in total

Review 1.  Future Brain and Spinal Cord Volumetric Imaging in the Clinic for Monitoring Treatment Response in MS.

Authors:  Tim Sinnecker; Cristina Granziera; Jens Wuerfel; Regina Schlaeger
Journal:  Curr Treat Options Neurol       Date:  2018-04-20       Impact factor: 3.598

2.  7T MPFLAIR versus MP2RAGE for Quantifying Lesion Volume in Multiple Sclerosis.

Authors:  Margaret Spini; Seongjin Choi; Daniel M Harrison
Journal:  J Neuroimaging       Date:  2020-06-22       Impact factor: 2.486

3.  Brain tissue volumes and relaxation rates in multiple sclerosis: implications for cognitive impairment.

Authors:  Rosario Megna; Bruno Alfano; Roberta Lanzillo; Teresa Costabile; Marco Comerci; Giovanni Vacca; Antonio Carotenuto; Marcello Moccia; Giuseppe Servillo; Anna Prinster; Vincenzo Brescia Morra; Mario Quarantelli
Journal:  J Neurol       Date:  2018-11-29       Impact factor: 4.849

4.  Intensity ratio to improve black hole assessment in multiple sclerosis.

Authors:  Gautam Adusumilli; Kathryn Trinkaus; Peng Sun; Samantha Lancia; Jeffrey D Viox; Jie Wen; Robert T Naismith; Anne H Cross
Journal:  Mult Scler Relat Disord       Date:  2017-12-02       Impact factor: 4.339

5.  Silent cerebral infarct definitions and full-scale IQ loss in children with sickle cell anemia.

Authors:  Natasha A Choudhury; Michael R DeBaun; Mark Rodeghier; Allison A King; John J Strouse; Robert C McKinstry
Journal:  Neurology       Date:  2017-12-20       Impact factor: 9.910

6.  T1 Recovery Is Predominantly Found in Black Holes and Is Associated with Clinical Improvement in Patients with Multiple Sclerosis.

Authors:  C Thaler; T D Faizy; J Sedlacik; B Holst; K Stürner; C Heesen; J-P Stellmann; J Fiehler; S Siemonsen
Journal:  AJNR Am J Neuroradiol       Date:  2016-11-10       Impact factor: 3.825

7.  Periventricular gradient of T1 tissue alterations in multiple sclerosis.

Authors:  Manuela Vaneckova; Gian Franco Piredda; Michaela Andelova; Jan Krasensky; Tomas Uher; Barbora Srpova; Eva Kubala Havrdova; Karolina Vodehnalova; Dana Horakova; Tom Hilbert; Bénédicte Maréchal; Mário João Fartaria; Veronica Ravano; Tobias Kober
Journal:  Neuroimage Clin       Date:  2022-04-16       Impact factor: 4.891

Review 8.  Cognitive Deficits in Multiple Sclerosis: Recent Advances in Treatment and Neurorehabilitation.

Authors:  Arseny A Sokolov; Petr Grivaz; Riley Bove
Journal:  Curr Treat Options Neurol       Date:  2018-10-22       Impact factor: 3.598

9.  Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis.

Authors:  Cristina Granziera; Jens Wuerfel; Frederik Barkhof; Massimiliano Calabrese; Nicola De Stefano; Christian Enzinger; Nikos Evangelou; Massimo Filippi; Jeroen J G Geurts; Daniel S Reich; Maria A Rocca; Stefan Ropele; Àlex Rovira; Pascal Sati; Ahmed T Toosy; Hugo Vrenken; Claudia A M Gandini Wheeler-Kingshott; Ludwig Kappos
Journal:  Brain       Date:  2021-06-22       Impact factor: 13.501

10.  T1- Thresholds in Black Holes Increase Clinical-Radiological Correlation in Multiple Sclerosis Patients.

Authors:  Christian Thaler; Tobias Faizy; Jan Sedlacik; Brigitte Holst; Jan-Patrick Stellmann; Kim Lea Young; Christoph Heesen; Jens Fiehler; Susanne Siemonsen
Journal:  PLoS One       Date:  2015-12-11       Impact factor: 3.240

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