Johannes Rosskopf1, Martin Gorges2, Hans-Peter Müller3, Elmar H Pinkhardt4, Albert C Ludolph5, Jan Kassubek6. 1. Department of Neurology, University of Ulm, Ulm, Germany. Electronic address: johannes.rosskopf@uni-ulm.de. 2. Department of Neurology, University of Ulm, Ulm, Germany. Electronic address: martin.gorges@uni-ulm.de. 3. Department of Neurology, University of Ulm, Ulm, Germany. Electronic address: hans-peter.mueller@uni-ulm.de. 4. Department of Neurology, University of Ulm, Ulm, Germany. Electronic address: elmar.pinkhardt@uni-ulm.de. 5. Department of Neurology, University of Ulm, Ulm, Germany. Electronic address: albert.ludolph@rku.de. 6. Department of Neurology, University of Ulm, Ulm, Germany. Electronic address: jan.kassubek@uni-ulm.de.
Abstract
INTRODUCTION: In multiple system atrophy (MSA), the organization of the functional brain connectivity within cortical and subcortical networks and its clinical correlates remains to be investigated. METHODS: Whole-brain based 'resting-state' fMRI data were obtained from 22 MSA patients (11 MSA-C, 11 MSA-P) and 22 matched healthy controls, together with standardized clinical assessment and video-oculographic recordings (EyeLink®). RESULTS: MSA patients vs. controls showed significantly higher ponto-cerebellar functional connectivity and lower default mode network connectivity (p < .05, corrected). No differences were observed in the motor network and in the control network. The higher the ponto-cerebellar network functional connectivity was, the more pronounced was smooth pursuit impairment. CONCLUSION: This functional connectivity analysis supports a network-dependent combination of hyper- and hypoconnectivity states in MSA, in agreement with adaptive compensatory responses (hyperconnectivity) and a function disconnection syndrome (hypoconnectivity) that may occur in a consecutive sequence.
INTRODUCTION: In multiple system atrophy (MSA), the organization of the functional brain connectivity within cortical and subcortical networks and its clinical correlates remains to be investigated. METHODS: Whole-brain based 'resting-state' fMRI data were obtained from 22 MSA patients (11 MSA-C, 11 MSA-P) and 22 matched healthy controls, together with standardized clinical assessment and video-oculographic recordings (EyeLink®). RESULTS: MSA patients vs. controls showed significantly higher ponto-cerebellar functional connectivity and lower default mode network connectivity (p < .05, corrected). No differences were observed in the motor network and in the control network. The higher the ponto-cerebellar network functional connectivity was, the more pronounced was smooth pursuit impairment. CONCLUSION: This functional connectivity analysis supports a network-dependent combination of hyper- and hypoconnectivity states in MSA, in agreement with adaptive compensatory responses (hyperconnectivity) and a function disconnection syndrome (hypoconnectivity) that may occur in a consecutive sequence.
Authors: Francesca Caso; Elisa Canu; Milica Jecmenica Lukic; Igor N Petrovic; Andrea Fontana; Ivan Nikolic; Vladimir S Kostic; Massimo Filippi; Federica Agosta Journal: J Neurol Date: 2019-09-26 Impact factor: 4.849
Authors: Barbara Commisso; Lingjun Ding; Karl Varadi; Martin Gorges; David Bayer; Tobias M Boeckers; Albert C Ludolph; Jan Kassubek; Oliver J Müller; Francesco Roselli Journal: Elife Date: 2018-08-23 Impact factor: 8.140
Authors: Hugo C Baggio; Alexandra Abos; Barbara Segura; Anna Campabadal; Carme Uribe; Darly M Giraldo; Alexandra Perez-Soriano; Esteban Muñoz; Yaroslau Compta; Carme Junque; Maria Jose Marti Journal: Neuroimage Clin Date: 2019-02-13 Impact factor: 4.881