Literature DB >> 27372098

Interhemispheric Connectivity Characterizes Cortical Reorganization in Motor-Related Networks After Cerebellar Lesions.

Fabrizio De Vico Fallani1,2, Silvia Clausi3,4, Maria Leggio3,4, Mario Chavez2, Miguel Valencia5,6, Anton Giulio Maglione3, Fabio Babiloni3,7, Febo Cincotti3,8, Donatella Mattia3, Marco Molinari9.   

Abstract

Although cerebellar-cortical interactions have been studied extensively in animal models and humans using modern neuroimaging techniques, the effects of cerebellar stroke and focal lesions on cerebral cortical processing remain unknown. In the present study, we analyzed the large-scale functional connectivity at the cortical level by combining high-density electroencephalography (EEG) and source imaging techniques to evaluate and quantify the compensatory reorganization of brain networks after cerebellar damage. The experimental protocol comprised a repetitive finger extension task by 10 patients with unilateral focal cerebellar lesions and 10 matched healthy controls. A graph theoretical approach was used to investigate the functional reorganization of cortical networks. Our patients, compared with controls, exhibited significant differences at global and local topological level of their brain networks. An abnormal rise in small-world network efficiency was observed in the gamma band (30-40 Hz) during execution of the task, paralleled by increased long-range connectivity between cortical hemispheres. Our findings show that a pervasive reorganization of the brain network is associated with cerebellar focal damage and support the idea that the cerebellum boosts or refines cortical functions. Clinically, these results suggest that cortical changes after cerebellar damage are achieved through an increase in the interactions between remote cortical areas and that rehabilitation should aim to reshape functional activation patterns. Future studies should determine whether these hypotheses are limited to motor tasks or if they also apply to cerebro-cerebellar dysfunction in general.

Entities:  

Keywords:  Brain plasticity; Cerebellum; EEG; Functional connectivity; Graph theory

Mesh:

Year:  2017        PMID: 27372098     DOI: 10.1007/s12311-016-0811-z

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.847


  119 in total

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Authors:  Mario Manto; Dennis A Nowak; Dennis J L G Schutter
Journal:  Cerebellum       Date:  2006       Impact factor: 3.847

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Authors:  Marco Molinari; Domenico Restuccia; Maria G Leggio
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5.  Functional changes of the primary somatosensory cortex in patients with unilateral cerebellar lesions.

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Journal:  Brain       Date:  2001-04       Impact factor: 13.501

6.  Cerebro-cerebellar interactions in man: neurophysiological studies in patients with focal cerebellar lesions.

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Review 7.  Cerebellar networks with the cerebral cortex and basal ganglia.

Authors:  Andreea C Bostan; Richard P Dum; Peter L Strick
Journal:  Trends Cogn Sci       Date:  2013-04-09       Impact factor: 20.229

8.  Techniques of EMG signal analysis: detection, processing, classification and applications.

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Journal:  Biol Proced Online       Date:  2006-03-23       Impact factor: 3.244

9.  Impaired long distance functional connectivity and weighted network architecture in Alzheimer's disease.

Authors:  Yong Liu; Chunshui Yu; Xinqing Zhang; Jieqiong Liu; Yunyun Duan; Aaron F Alexander-Bloch; Bing Liu; Tianzi Jiang; Ed Bullmore
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Journal:  PLoS One       Date:  2013-03-06       Impact factor: 3.240

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  7 in total

1.  Resting State EEG Directed Functional Connectivity Unveils Changes in Motor Network Organization in Subacute Stroke Patients After Rehabilitation.

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Review 2.  Non-invasive Cerebellar Stimulation: a Promising Approach for Stroke Recovery?

Authors:  Maximilian J Wessel; Friedhelm C Hummel
Journal:  Cerebellum       Date:  2018-06       Impact factor: 3.847

3.  Network interactions underlying mirror feedback in stroke: A dynamic causal modeling study.

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4.  The Effects of rTMS Combined with Motor Training on Functional Connectivity in Alpha Frequency Band.

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5.  Neural substrates of motor and cognitive dysfunctions in SCA2 patients: A network based statistics analysis.

Authors:  G Olivito; M Cercignani; M Lupo; C Iacobacci; S Clausi; S Romano; M Masciullo; M Molinari; M Bozzali; M Leggio
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Review 6.  The Implementation of Predictions During Sequencing.

Authors:  M Molinari; M Masciullo
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7.  Loss of brain inter-frequency hubs in Alzheimer's disease.

Authors:  J Guillon; Y Attal; O Colliot; V La Corte; B Dubois; D Schwartz; M Chavez; F De Vico Fallani
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  7 in total

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