Contributions
Abstract: P1277
Type: Poster Sessions
Abstract Category: Therapy - Others
Background: Action observation training (AOT) facilitates motor system function, possibly through a functional modulation of several brain regions. We assessed whether AOT modifies brain dynamic functional network connectivity (dFNC) in healthy controls (HC) and MS patients with right (R) upper limb motor deficits.
Methods: In this blind controlled study 87 R-handed subjects were randomized into 2 experimental groups (HC-AOT n=23; MS-AOT n=20) and 2 control groups (HC-C n=23; MS-C n=21). The 2-week training consisted of 10 45-minute sessions. AOT-groups watched 3 videos of daily-life actions alternated by execution with the R hand; C-groups performed the same tasks but watched landscapes videos. All study subjects underwent resting state fMRI at baseline (t0) and after 2 weeks (w2). Independent component analysis identified 41 functional connectivity (FC) networks. Between-group differences and dFNC changes over time in each group were evaluated using a dynamic approach, i.e., assessing FC on small temporal segments using sliding windows, then grouping FC correlation matrices into recurrent FC states. Summary dynamism measures were also computed.
Results: Two recurrent FC states were detected: State1 (strong internetwork connectivity) and State2 (weak internetwork connectivity). At t0, MS patients showed a consistent dFNC decrease vs HC, especially in State1, mainly involving basal ganglia, cerebellar and default mode networks, and some increase of dFNC of visual, executive and attention networks. DFNC was significantly increased over time in both MS groups, especially in State1, with more evident effects in MS-AOT than in MS-C patients, and an involvement of the sensorimotor, visual, basal ganglia, default mode and attention networks. Conversely, HC groups showed a decrease of dFNC at w2 vs t0, with a prevalent involvement of the sensorimotor, basal ganglia, cerebellar and attention networks in HC-AOT, and of the default mode and attention network in HC-C. Summary dynamism measures did not change over time.
Conclusions: Two weeks of motor training modulated dFNC of several functional networks with stronger effects in the MS-AOT than in the MS-C group. Our findings might improve the understanding of the functional substrates underlying motor deficit recovery in MS and to develop individualized treatment strategies.
Funding: Partially supported by Fondazione Italiana Sclerosi Multila (FISM2012R15) and Italian Ministry of Health (RF-2011-02350374).
Disclosure: C. Cordani, P. Valsasina, L. Gavazzeni, A. Meani, F. Esposito, and M. Comola hove nothing to disclose.
P. Preziosa received speakers honoraria from Biogen Idec, Novartis and ExceMED.
G. Comi has received consulting fees for participating on advisory boards from Novartis, Teva Pharmaceutical Ind. Ltd, Sanofi, Genzyme, Merck Serono, Bayer, Actelion and honorarium for speaking activities for Novartis, Teva Pharmaceutical Ind. Ltd, Sanofi, Genzyme, Merck Serono, Bayer, Biogen, ExceMED.
M. Filippi is Editor-in-Chief of the Journal of Neurology; received compensation for consulting services and/or speaking activities from Biogen Idec, Merck-Serono, Novartis, Teva Pharmaceutical Industries; and receives research support from Biogen Idec, Merck-Serono, Novartis, Teva Pharmaceutical Industries, Roche, Italian Ministry of Health, Fondazione Italiana Sclerosi Multipla, and ARiSLA (Fondazione Italiana di Ricerca per la SLA).
M.A. Rocca received speakers honoraria from Biogen Idec, Novartis, Genzyme, Sanofi-Aventis, Teva, Merck Serono, and Roche and receives research support from the Italian Ministry of Health and Fondazione Italiana Sclerosi Multipla.
Abstract: P1277
Type: Poster Sessions
Abstract Category: Therapy - Others
Background: Action observation training (AOT) facilitates motor system function, possibly through a functional modulation of several brain regions. We assessed whether AOT modifies brain dynamic functional network connectivity (dFNC) in healthy controls (HC) and MS patients with right (R) upper limb motor deficits.
Methods: In this blind controlled study 87 R-handed subjects were randomized into 2 experimental groups (HC-AOT n=23; MS-AOT n=20) and 2 control groups (HC-C n=23; MS-C n=21). The 2-week training consisted of 10 45-minute sessions. AOT-groups watched 3 videos of daily-life actions alternated by execution with the R hand; C-groups performed the same tasks but watched landscapes videos. All study subjects underwent resting state fMRI at baseline (t0) and after 2 weeks (w2). Independent component analysis identified 41 functional connectivity (FC) networks. Between-group differences and dFNC changes over time in each group were evaluated using a dynamic approach, i.e., assessing FC on small temporal segments using sliding windows, then grouping FC correlation matrices into recurrent FC states. Summary dynamism measures were also computed.
Results: Two recurrent FC states were detected: State1 (strong internetwork connectivity) and State2 (weak internetwork connectivity). At t0, MS patients showed a consistent dFNC decrease vs HC, especially in State1, mainly involving basal ganglia, cerebellar and default mode networks, and some increase of dFNC of visual, executive and attention networks. DFNC was significantly increased over time in both MS groups, especially in State1, with more evident effects in MS-AOT than in MS-C patients, and an involvement of the sensorimotor, visual, basal ganglia, default mode and attention networks. Conversely, HC groups showed a decrease of dFNC at w2 vs t0, with a prevalent involvement of the sensorimotor, basal ganglia, cerebellar and attention networks in HC-AOT, and of the default mode and attention network in HC-C. Summary dynamism measures did not change over time.
Conclusions: Two weeks of motor training modulated dFNC of several functional networks with stronger effects in the MS-AOT than in the MS-C group. Our findings might improve the understanding of the functional substrates underlying motor deficit recovery in MS and to develop individualized treatment strategies.
Funding: Partially supported by Fondazione Italiana Sclerosi Multila (FISM2012R15) and Italian Ministry of Health (RF-2011-02350374).
Disclosure: C. Cordani, P. Valsasina, L. Gavazzeni, A. Meani, F. Esposito, and M. Comola hove nothing to disclose.
P. Preziosa received speakers honoraria from Biogen Idec, Novartis and ExceMED.
G. Comi has received consulting fees for participating on advisory boards from Novartis, Teva Pharmaceutical Ind. Ltd, Sanofi, Genzyme, Merck Serono, Bayer, Actelion and honorarium for speaking activities for Novartis, Teva Pharmaceutical Ind. Ltd, Sanofi, Genzyme, Merck Serono, Bayer, Biogen, ExceMED.
M. Filippi is Editor-in-Chief of the Journal of Neurology; received compensation for consulting services and/or speaking activities from Biogen Idec, Merck-Serono, Novartis, Teva Pharmaceutical Industries; and receives research support from Biogen Idec, Merck-Serono, Novartis, Teva Pharmaceutical Industries, Roche, Italian Ministry of Health, Fondazione Italiana Sclerosi Multipla, and ARiSLA (Fondazione Italiana di Ricerca per la SLA).
M.A. Rocca received speakers honoraria from Biogen Idec, Novartis, Genzyme, Sanofi-Aventis, Teva, Merck Serono, and Roche and receives research support from the Italian Ministry of Health and Fondazione Italiana Sclerosi Multipla.