Spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurodegenerative disease characterized by a progressive cerebellar syndrome, which can be isolated or associated with extracerebellar signs. It has been shown that patients affected by SCA2 present also cognitive impairments and psychiatric symptoms. The cerebellum is known to modulate cortical activity and to contribute to distinct functional networks related to higher-level functions beyond motor control. It is therefore conceivable that one or more networks, rather than isolated regions, may be dysfunctional in cerebellar degenerative diseases and that an abnormal connectivity within specific cerebello-cortical regions might explain the widespread deficits typically observed in patients. In the present study, the network-based statistics (NBS) approach was used to assess differences in functional connectivity between specific cerebellar and cerebral “nodes” in SCA2 patients. Altered inter-nodal connectivity was found between more posterior regions in the cerebellum and regions in the cerebral cortex clearly related to cognition and emotion. Furthermore, more anterior cerebellar lobules showed altered inter-nodal connectivity with motor and somatosensory cerebral regions. The present data suggest that in SCA2 a cerebellar dysfunction affects long-distance cerebral regions and that the clinical symptoms may be specifically related with connectivity changes between motor and non-motor cerebello-cortical nodes.

Neural substrates of motor and cognitive dysfunctions in SCA2 patients. A network based statistics analysis / Olivito, Giusy; Mara, Cercignani; Lupo, Michela; Iacobacci, Claudia; Clausi, Silvia; Romano, Silvia; Marcella, Masciullo; Marco, Molinari; Marco, Bozzali; Leggio, Maria. - In: NEUROIMAGE. CLINICAL. - ISSN 2213-1582. - STAMPA. - 14:(2017), pp. 719-725. [10.1016/j.nicl.2017.03.009]

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

Giusy, Olivito;IACOBACCI, CLAUDIA;Silvia, Clausi;ROMANO, SILVIA;LEGGIO, Maria
2017

Abstract

Spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurodegenerative disease characterized by a progressive cerebellar syndrome, which can be isolated or associated with extracerebellar signs. It has been shown that patients affected by SCA2 present also cognitive impairments and psychiatric symptoms. The cerebellum is known to modulate cortical activity and to contribute to distinct functional networks related to higher-level functions beyond motor control. It is therefore conceivable that one or more networks, rather than isolated regions, may be dysfunctional in cerebellar degenerative diseases and that an abnormal connectivity within specific cerebello-cortical regions might explain the widespread deficits typically observed in patients. In the present study, the network-based statistics (NBS) approach was used to assess differences in functional connectivity between specific cerebellar and cerebral “nodes” in SCA2 patients. Altered inter-nodal connectivity was found between more posterior regions in the cerebellum and regions in the cerebral cortex clearly related to cognition and emotion. Furthermore, more anterior cerebellar lobules showed altered inter-nodal connectivity with motor and somatosensory cerebral regions. The present data suggest that in SCA2 a cerebellar dysfunction affects long-distance cerebral regions and that the clinical symptoms may be specifically related with connectivity changes between motor and non-motor cerebello-cortical nodes.
2017
cerebellum; cerebral cortex; resting-state fMRI; functional connectivity; nodes
01 Pubblicazione su rivista::01a Articolo in rivista
Neural substrates of motor and cognitive dysfunctions in SCA2 patients. A network based statistics analysis / Olivito, Giusy; Mara, Cercignani; Lupo, Michela; Iacobacci, Claudia; Clausi, Silvia; Romano, Silvia; Marcella, Masciullo; Marco, Molinari; Marco, Bozzali; Leggio, Maria. - In: NEUROIMAGE. CLINICAL. - ISSN 2213-1582. - STAMPA. - 14:(2017), pp. 719-725. [10.1016/j.nicl.2017.03.009]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/950206
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