Giancarlo Zito

Giancarlo Zito


Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 May 2014 in Journal of Neurology
Verified
Journal Article
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FTFranca Tecchio
Franca Tecchio
ACAndrea Cancelli
Andrea Cancelli
CCCarlo Cottone
Carlo Cottone
GZGiancarlo Zito
Giancarlo Zito
PPPatrizio Pasqualetti
Patrizio Pasqualetti
MFMaria Maddalena Filippi
Maria Maddalena Filippi

1 November 2001 in NeuroImage
Verified
Journal Article
Closed access
GHGisela E Hagberg
Gisela E Hagberg
GZGiancarlo Zito
Giancarlo Zito
FPFabiana Patria
Fabiana Patria
JSJerome N. Sanes
Jerome N. Sanes

16 February 2006 in European Journal of Neuroscience
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Journal Article
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Simone RossiSimone Rossi
Simone Rossi
PPPatrizio Pasqualetti
Patrizio Pasqualetti
GZGiancarlo Zito
Giancarlo Zito
Fabrizio VecchioFabrizio Vecchio
Fabrizio Vecchio
SCStefano F. Cappa
Stefano F. Cappa
PRPaolo M. Rossini
Paolo M. Rossini

3 July 2015 in Frontiers in Neurology
Verified
Journal Article
Open access
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FTFranca Tecchio
Franca Tecchio
ACAndrea Cancelli
Andrea Cancelli
CCCarlo Cottone
Carlo Cottone
Roberta FerrucciRoberta Ferrucci
Roberta Ferrucci
Maurizio VergariMaurizio Vergari
Maurizio Vergari
Alberto PrioriAlberto Priori
Alberto Priori
Rationale: We recently reported on the efficacy of a personalized transcranial direct current stimulation (tDCS) treatment in reducing multiple sclerosis (MS) fatigue. The result supports the notion that interventions targeted at modifying abnormal excitability within the sensorimotor network could represent valid non-pharmacological treatments. Objective: The present work aimed at assessing whether the mentioned intervention also induces changes in the excitability of sensorimotor cortical areas. Method: Two separate groups of fatigued MS patients were given a 5-day tDCS treatments targeting, respectively, the whole body somatosensory areas (S1wb) and the hand sensorimotor areas (SM1hand). The study had a double blind, sham-controlled, randomized, cross-over (Real vs. Sham) design. Before and after each treatment, we measured fatigue levels (by the modified fatigue impact scale, mFIS), motor evoked potentials (MEPs) in response to transcranial magnetic stimulation and somatosensory evoked potentials (SEPs) in response to median nerve stimulation. We took MEPs and SEPs as measures of the excitability of the primary motor area (M1) and the primary somatosensory area (S1), respectively. Results: The Real S1wb treatment produced a 27% reduction of the mFIS baseline level, while the SM1hand treatment showed no difference between Real and Sham stimulations. M1 excitability increased on average 6% of the baseline in the S1wb group and 40% in the SM1hand group. Observed SEP changes were not significant and we found no association between M1 excitability changes and mFIS decrease. Conclusion: The tDCS treatment was more effective against MS fatigue when the electrode was focused on the bilateral whole body somatosensory area. Changes in S1 and M1 excitability did not correlate with symptoms amelioration. Significance: The neuromodulation treatment that proved effective against MS fatigue induced only minor variations of the motor cortex excitability, not enough to explain the beneficial effects of the intervention.

3 December 2019 in Scientific Reports
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Journal Article
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Camillo PorcaroCamillo Porcaro
Camillo Porcaro
CCCarlo Cottone
Carlo Cottone
ACAndrea Cancelli
Andrea Cancelli
PRPaolo M. Rossini
Paolo M. Rossini
GZGiancarlo Zito
Giancarlo Zito
FTFranca Tecchio
Franca Tecchio
The people with multiple sclerosis (MS) often report that fatigue restricts their life. Nowadays, pharmacological treatments are poorly effective accompanied by relevant side effects. A 5-day transcranial direct current stimulation (tDCS) targeting the somatosensory representation of the whole body (S1) delivered through an electrode personalized based on the brain MRI was efficacious against MS fatigue (FaReMuS treatment). This proof of principle study tested whether possible changes of the functional organization of the primary sensorimotor network induced by FaReMuS partly explained the effected fatigue amelioration. We measured the brain activity at rest through electroencephalography equipped with a Functional Source Separation algorithm and we assessed the neurodynamics state of the primary somatosensory (S1) and motor (M1) cortices via the Fractal Dimension and their functional connectivity via the Mutual Information. The dynamics of the neuronal electric activity, more distorted in S1 than M1 before treatment, as well as the network connectivity, altered maximally between left and right M1 homologs, reverted to normal after FaReMuS. The intervention-related changes explained 48% of variance of fatigue reduction in the regression model. A personalized neuromodulation tuned in on specific anatomo-functional features of the impaired regions can be effective against fatigue.

3 July 2012 in Multiple Sclerosis Journal
Verified
Journal Article
Closed access
LTL Tomasevic
L Tomasevic
GZGiancarlo Zito
Giancarlo Zito
PPPatrizio Pasqualetti
Patrizio Pasqualetti
MFMm Filippi
Mm Filippi
DLD Landi
D Landi
FTFranca Tecchio
Franca Tecchio
Highly common in multiple sclerosis (MS), fatigue severely impacts patients’ daily lives. Previous findings of altered connectivity patterns led to the hypothesis that the distortion of functional connections within the brain-muscle circuit plays a crucial pathogenic role. The objective of this paper is to identify markers sensitive to fatigue in multiple sclerosis. Structural (magnetic resonance imaging with assessment of thalamic volume and cortical thickness of the primary sensorimotor areas) and functional (cortico-muscular coherence (CMC) from simultaneous electroencephalo- and surface electromyographic recordings during a weak handgrip task) measures were used on 20 mildly disabled MS patients (relapsing–remitting course, Expanded Disability Status Scale score ≤ 2) who were recruited in two fatigue-dependent groups according to the Modified Fatigue Index Scale (MFIS) score. The two groups were similar in terms of demographic, clinical and imaging features, as well as task execution accuracy and weariness. In the absence of any fatigue-dependent brain and muscular oscillatory activity alterations, CMC worked at higher frequencies as fatigue increased, explaining 67% of MFIS variance (p=.002). Brain-muscle functional connectivity emerged as a sensitive marker of phenomena related to the origin of MS fatigue, impacting central-peripheral communication well before the appearance of any impairment in the communicating nodes.