Literature DB >> 22966067

Differential cerebellar functional interactions during an interference task across multiple sclerosis phenotypes.

Maria A Rocca1, Mélissa C Bonnet, Alessandro Meani, Paola Valsasina, Bruno Colombo, Giancarlo Comi, Massimo Filippi.   

Abstract

PURPOSE: To determine whether modification of the connections between cerebellar and prefrontal areas might vary among multiple sclerosis (MS) phenotypes and might be associated with cognitive failure.
MATERIALS AND METHODS: Approval of the institutional review boards and written informed consent were obtained from each participant. Stroop-related functional magnetic resonance (MR) imaging activations and effective connectivity abnormalities between the right cerebellum and any other brain regions were assessed by using a psychophysiologic interaction (PPI) analysis from 17 patients with relapsing-remitting (RR), 17 with benign, and 23 with secondary progressive (SP) MS and 18 healthy control subjects (P < .05, corrected at cluster level). Correlations with disease duration, T2 lesion volume, brain volume, and response times (RTs) during the incongruent condition were estimated (P < .001, uncorrected).
RESULTS: Activation and PPI analyses showed that, compared with the other groups, RR MS group had abnormal recruitment of regions of the left frontoparietal lobes, whereas compared with RR MS group, SP MS group had abnormal recruitment of the cingulum or precuneus. Benign MS group had increased activation of the right prefrontal cortex, and increased interaction between these regions and the right cerebellum. In healthy controls, RTs inversely correlated with activity of right cerebellum and several frontoparietal regions. In MS, RTs inversely correlated with bilateral cerebellar activity and directly correlated with right precuneus activity. In MS, disease duration inversely correlated with right cerebellar activity and directly correlated with left inferior frontal gyrus and right precuneus activity. Higher T2 lesion volume and lower brain volumes were related to activity in these areas.
CONCLUSION: Patients with MS who have various clinical phenotypes experience different abnormalities in activation and effective connectivity between the right cerebellum and frontoparietal areas, which contribute to inefficient cortical reorganization, with increasing cognitive load. SUPPLEMENTAL MATERIAL: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.12120216/-/DC1. © RSNA, 2012.

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Year:  2012        PMID: 22966067     DOI: 10.1148/radiol.12120216

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  13 in total

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Journal:  Brain Topogr       Date:  2021-01-23       Impact factor: 3.020

2.  Abnormalities of the executive control network in multiple sclerosis phenotypes: An fMRI effective connectivity study.

Authors:  Ekaterina Dobryakova; Maria Assunta Rocca; Paola Valsasina; Angelo Ghezzi; Bruno Colombo; Vittorio Martinelli; Giancarlo Comi; John DeLuca; Massimo Filippi
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3.  Functional correlates of cognitive dysfunction in multiple sclerosis: A multicenter fMRI Study.

Authors:  Maria A Rocca; Paola Valsasina; Hanneke E Hulst; Khaled Abdel-Aziz; Christian Enzinger; Antonio Gallo; Debora Pareto; Gianna Riccitelli; Nils Muhlert; Olga Ciccarelli; Frederik Barkhof; Franz Fazekas; Gioacchino Tedeschi; Maria J Arévalo; Massimo Filippi
Journal:  Hum Brain Mapp       Date:  2014-07-18       Impact factor: 5.038

4.  Cerebellum and cognition in progressive MS patients: functional changes beyond atrophy?

Authors:  Sirio Cocozza; Giuseppe Pontillo; Camilla Russo; Cinzia Valeria Russo; Teresa Costabile; Alessio Pepe; Enrico Tedeschi; Roberta Lanzillo; Vincenzo Brescia Morra; Arturo Brunetti; Matilde Inglese; Maria Petracca
Journal:  J Neurol       Date:  2018-07-28       Impact factor: 4.849

5.  Altered neural mechanisms of cognitive control in patients with primary progressive multiple sclerosis: An effective connectivity study.

Authors:  Ekaterina Dobryakova; Maria Assunta Rocca; Paola Valsasina; John DeLuca; Massimo Filippi
Journal:  Hum Brain Mapp       Date:  2017-02-16       Impact factor: 5.038

6.  The role of the cerebellum in multiple sclerosis.

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Journal:  Cerebellum       Date:  2015-06       Impact factor: 3.847

7.  Channelopathy-related SCN10A gene variants predict cerebellar dysfunction in multiple sclerosis.

Authors:  Tina Roostaei; Shokufeh Sadaghiani; Min Tae M Park; Rahil Mashhadi; Aria Nazeri; Sina Noshad; Mohammad Javad Salehi; Maryam Naghibzadeh; Abdorreza Naser Moghadasi; Mahsa Owji; Rozita Doosti; Amir Pejman Hashemi Taheri; Ali Shakouri Rad; Amirreza Azimi; M Mallar Chakravarty; Aristotle N Voineskos; Arash Nazeri; Mohammad Ali Sahraian
Journal:  Neurology       Date:  2016-01-06       Impact factor: 9.910

Review 8.  Network collapse and cognitive impairment in multiple sclerosis.

Authors:  Menno M Schoonheim; Kim A Meijer; Jeroen J G Geurts
Journal:  Front Neurol       Date:  2015-04-14       Impact factor: 4.003

9.  Structural Brain Network Characteristics Can Differentiate CIS from Early RRMS.

Authors:  Muthuraman Muthuraman; Vinzenz Fleischer; Pierre Kolber; Felix Luessi; Frauke Zipp; Sergiu Groppa
Journal:  Front Neurosci       Date:  2016-02-02       Impact factor: 4.677

10.  Multicontrast connectometry: a new tool to assess cerebellum alterations in early relapsing-remitting multiple sclerosis.

Authors:  David Romascano; Djalel-Eddine Meskaldji; Guillaume Bonnier; Samanta Simioni; David Rotzinger; Ying-Chia Lin; Gloria Menegaz; Alexis Roche; Myriam Schluep; Renaud Du Pasquier; Jonas Richiardi; Dimitri Van De Ville; Alessandro Daducci; Tilman Sumpf; Jens Fraham; Jean-Philippe Thiran; Gunnar Krueger; Cristina Granziera
Journal:  Hum Brain Mapp       Date:  2014-11-24       Impact factor: 5.038

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