Giovanni Pellegrino

Dr. Giovanni Pellegrino

Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

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

Representative Publications

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9 September 2014 in Nature Reviews Neurology
Verified
Journal Article
Closed access
PDF file
GPGiovanni Di Pino
Giovanni Di Pino
GPGiovanni Pellegrino
Giovanni Pellegrino
Giovanni AssenzaGiovanni Assenza
Giovanni Assenza
FCFioravante Capone
Fioravante Capone
Florinda FerreriFlorinda Ferreri
Florinda Ferreri
VLVincenzo Di Lazzaro
Vincenzo Di Lazzaro

5 April 2016 in Human Brain Mapping
Verified
Journal Article
Closed access
GPGiovanni Pellegrino
Giovanni Pellegrino
THTanguy Hedrich
Tanguy Hedrich
RCRasheda Chowdhury
Rasheda Chowdhury
JHJeffery A. Hall
Jeffery A. Hall
JLJean-Marc Lina
Jean-Marc Lina
CGChristophe Grova
Christophe Grova

1 October 2015 in NeuroImage
Verified
Journal Article
Closed access
EREstelle Raffin
Estelle Raffin
GPGiovanni Pellegrino
Giovanni Pellegrino
VLVincenzo Di Lazzaro
Vincenzo Di Lazzaro
ATAxel Thielscher
Axel Thielscher
HSHartwig Roman Siebner
Hartwig Roman Siebner

1 November 2014 in Brain Stimulation
Verified
Journal Article
Closed access
VLVincenzo Di Lazzaro
Vincenzo Di Lazzaro
MDMichele Dileone
Michele Dileone
FCFioravante Capone
Fioravante Capone
GPGiovanni Pellegrino
Giovanni Pellegrino
FRFederico Ranieri
Federico Ranieri
Felipe FregniFelipe Fregni
Felipe Fregni

30 January 2016 in Brain Topography
Verified
Journal Article
Open access
PDF file
NENicolás von Ellenrieder
Nicolás von Ellenrieder
GPGiovanni Pellegrino
Giovanni Pellegrino
THTanguy Hedrich
Tanguy Hedrich
JGJean Gotman
Jean Gotman
JLJean-Marc Lina
Jean-Marc Lina
EKEliane Kobayashi
Eliane Kobayashi
We present a framework to detect fast oscillations (FOs) in magnetoencephalography (MEG) and to perform magnetic source imaging (MSI) to determine the location and extent of their generators in the cortex. FOs can be of physiologic origin associated to sensory processing and memory consolidation. In epilepsy, FOs are of pathologic origin and biomarkers of the epileptogenic zone. Seventeen patients with focal epilepsy previously confirmed with identified FOs in scalp electroencephalography (EEG) were evaluated. To handle data deriving from large number of sensors (275 axial gradiometers) we used an automatic detector with high sensitivity. False positives were discarded by two human experts. MSI of the FOs was performed with the wavelet based maximum entropy on the mean method. We found FOs in 11/17 patients, in only one patient the channel with highest FO rate was not concordant with the epileptogenic region and might correspond to physiologic oscillations. MEG FOs rates were very low: 0.02–4.55 per minute. Compared to scalp EEG, detection sensitivity was lower, but the specificity higher in MEG. MSI of FOs showed concordance or partial concordance with proven generators of seizures and epileptiform activity in 10/11 patients. We have validated the proposed framework for the non-invasive study of FOs with MEG. The excellent overall concordance with other clinical gold standard evaluation tools indicates that MEG FOs can provide relevant information to guide implantation for intracranial EEG pre-surgical evaluation and for surgical treatment, and demonstrates the important added value of choosing appropriate FOs detection and source localization methods.

1 October 2009 in NeuroImage
Verified
Journal Article
Closed access
Mario TombiniMario Tombini
Mario Tombini
FZFilippo Zappasodi
Filippo Zappasodi
LZLoredana Zollo
Loredana Zollo
GPGiovanni Pellegrino
Giovanni Pellegrino
GCGiuseppe Cavallo
Giuseppe Cavallo
PRPaolo M. Rossini
Paolo M. Rossini