2020

Revisiting 'brain modes' in a new computational era: approaches for the characterization of brain-behavioural associations
Toba M, Godefroy O, Rushmore R, Zavaglia M, Maatoug R, Hilgetag C, Valero-Cabré A
BRAIN. 2020;143(4):1088-1098.

Reply: Inhibition between human brain areas or methodological artefact?
Toba M, Malherbe C, Godefroy O, Rushmore R, Zavaglia M, Maatoug R, Mandonnet E, Valero-Cabré A, Hilgetag C
BRAIN. 2020;143(5):e39.

Game theoretical mapping of white matter contributions to visuospatial attention in stroke patients with hemineglect
Toba M, Zavaglia M, Malherbe C, Moreau T, Rastelli F, Kaglik A, Valabrègue R, Pradat-Diehl P, Hilgetag C, Valero-Cabré A
HUM BRAIN MAPP. 2020;41(11):2926-2950.

2019

Discrimination of the hierarchical structure of cortical layers in 2-photon microscopy data by combined unsupervised and supervised machine learning
Li D, Zavaglia M, Wang G, Xie H, Hu Y, Werner R, Guan J, Hilgetag C
SCI REP-UK. 2019;9(1):7424.

2018

Neural correlates of visuospatial bias in patients with left hemisphere stroke: a causal functional contribution analysis based on game theory
Malherbe C, Umarova R, Zavaglia M, Kaller C, Beume L, Thomalla G, Weiller C, Hilgetag C
NEUROPSYCHOLOGIA. 2018;115:142-153.

2017

Game theoretical mapping of causal interactions underlying visuo-spatial attention in the human brain based on stroke lesions
Toba M, Zavaglia M, Rastelli F, Valabrégue R, Pradat-Diehl P, Valero-Cabré A, Hilgetag C
HUM BRAIN MAPP. 2017 [Epub ahead of print].

2016

Technical considerations of a game-theoretical approach for lesion symptom mapping
Zavaglia M, Forkert N, Cheng B, Gerloff C, Thomalla G, Hilgetag C
BMC NEUROSCI. 2016;17(1):40.

Causal functional contributions and interactions in the attention network of the brain: an objective multi-perturbation analysis
Zavaglia M, Hilgetag C
BRAIN STRUCT FUNCT. 2016;221(5):2553-68.

2015

Mapping causal functional contributions derived from the clinical assessment of brain damage after stroke
Zavaglia M, Forkert N, Cheng B, Gerloff C, Thomalla G, Hilgetag C
NEUROIMAGE-CLIN. 2015;9:83-94.

2014

Influence of Stroke Infarct Location on Functional Outcome Measured by the Modified Rankin Scale
Cheng B, Forkert N, Zavaglia M, Hilgetag C, Golsari A, Siemonsen S, Fiehler J, Pedraza S, Puig J, Cho T, Alawneh J, Baron J, Ostergaard L, Gerloff C, Thomalla G
STROKE. 2014;45(6):1695-+.

2012

Binding and segmentation via a neural mass model trained with Hebbian and anti-Hebbian mechanisms.
Cona F, Zavaglia M, Ursino M
INT J NEURAL SYST. 2012;22(2):1250003.

A dynamical pattern recognition model of gamma activity in auditory cortex.
Zavaglia M, Canolty R, Schofield T, Leff A, Ursino M, Knight R, Penny W
NEURAL NETWORKS. 2012;28:1-14.

2011

A neural mass model of interconnected regions simulates rhythm propagation observed via TMS-EEG.
Cona F, Zavaglia M, Massimini M, Rosanova M, Ursino M
NEUROIMAGE. 2011;57(3):1045-1058.

2010

Visuotactile representation of peripersonal space: a neural network study.
Magosso E, Zavaglia M, Serino A, Giuseppe D, Ursino M
NEURAL COMPUT. 2010;22(1):190-243.

The generation of rhythms within a cortical region: analysis of a neural mass model.
Ursino M, Cona F, Zavaglia M
NEUROIMAGE. 2010;52(3):1080-1094.

2008

Tracking the time-varying cortical connectivity patterns by adaptive multivariate estimators.
Astolfi L, Cincotti F, Mattia D, De Vico Fallani F, Tocci A, Colosimo A, Salinari S, Marciani M, Hesse W, Witte H, Ursino M, Zavaglia M, Babiloni F
IEEE T BIO-MED ENG. 2008;55(3):902-913.

The effect of connectivity on EEG rhythms, power spectral density and coherence among coupled neural populations: analysis with a neural mass model.
Zavaglia M, Astolfi L, Babiloni F, Ursino M
IEEE T BIO-MED ENG. 2008;55(1):69-77.

2007

Time-varying cortical connectivity by adaptive multivariate estimators applied to a combined foot-lips movement.
Astolfi L, Cincotti F, Mattia D, De Vico Fallani F, Colosimo A, Salinari S, Marciani M, Ursino M, Zavaglia M, Hesse W, Witte H, Babiloni F
Conf Proc IEEE Eng Med Biol Soc. 2007;2007:4402-4405.

Comparison of different cortical connectivity estimators for high-resolution EEG recordings.
Astolfi L, Cincotti F, Mattia D, Marciani M, Baccala L, de Vico Fallani F, Salinari S, Ursino M, Zavaglia M, Ding L, Edgar J, Miller G, He B, Babiloni F
HUM BRAIN MAPP. 2007;28(2):143-157.

Modeling analysis of the relationship between EEG rhythms and connectivity among different neural populations.
Ursino M, Zavaglia M
J INTEGR NEUROSCI. 2007;6(4):597-623.

Use of a neural mass model for the analysis of effective connectivity among cortical regions based on high resolution EEG recordings.
Ursino M, Zavaglia M, Astolfi L, Babiloni F
BIOL CYBERN. 2007;96(3):351-365.

A neural network model of multisensory representation of peripersonal space: effect of tool use.
Ursino M, Zavaglia M, Magosso E, Serino A, Giuseppe D
Conf Proc IEEE Eng Med Biol Soc. 2007;2007:2735-2739.

2006

Estimation of the cortical connectivity patterns during the intention of limb movements.
Astolfi L, Cincotti F, Mattia D, Fabrizio D, Salinari S, Ursino M, Zavaglia M, Marciani M, Babiloni F
IEEE ENG MED BIOL. 2006;25(4):32-38.

Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data.
Astolfi L, Cincotti F, Mattia D, Marciani M, Baccalà L, de Vico Fallani F, Salinari S, Ursino M, Zavaglia M, Babiloni F
IEEE T BIO-MED ENG. 2006;53(9):1802-1812.

Cortical connectivity patterns during imagination of limb movements in normal subjects and in a spinal cord injured patient.
Astolfi L, Cincotti F, Mattia D, Mattiocco M, Fabrizio D, Marciani M, Ursino M, Zavaglia M, Gao S, Wei W, Babiloni F
Conf Proc IEEE Eng Med Biol Soc. 2006;1:996-999.

A neural mass model for the simulation of cortical activity estimated from high resolution EEG during cognitive or motor tasks.
Zavaglia M, Astolfi L, Babiloni F, Ursino M
J NEUROSCI METH. 2006;157(2):317-329.

Assessment of effective connectivity among cortical regions based on a neural mass model.
Zavaglia M, Astolfi L, Babiloni F, Ursino M
Conf Proc IEEE Eng Med Biol Soc. 2006;1:590-594.

2005

Comparison of different multivariate methods for the estimation of cortical connectivity: simulations and applications to EEG data.
Astolfi L, Cincotti F, Mattia D, de Vico Fallani F, Lai M, Baccala L, Salinari S, Ursino M, Zavaglia M, Babiloni F
Conf Proc IEEE Eng Med Biol Soc. 2005;5:4484-4487.

Letzte Aktualisierung aus dem FIS: 19.04.2024 - 06:47 Uhr