M. Marino

发表

Pearls and pitfalls in brain functional analysis by event-related potentials: a narrative review by the Italian Psychophysiology and Cognitive Neuroscience Society on methodological limits and clinical reliability—part I

S. Rossi, N. Bolognini, C. Miniussi, 2020, Neurological Sciences.

Heart–Brain Interactions in the MR Environment: Characterization of the Ballistocardiogram in EEG Signals Collected During Simultaneous fMRI

N. Wenderoth, D. Mantini, C. Corsi, 2017, Brain Topography.

A Local Signature of LTP-Like Plasticity Induced by Repetitive Paired Associative Stimulation

P. Manganotti, R. Calabró, A. Naro, 2014, Brain Topography.

Hemodynamic Correlates of Electrophysiological Activity in the Default Mode Network

D. Mantini, C. Porcaro, G. Arcara, 2019, Front. Neurosci..

Ventral Attention Network Correlates With High Traits of Emotion Dysregulation in Community Women — A Resting-State EEG Study

A. Angrilli, M. Marino, C. Spironelli, 2022, Frontiers in Human Neuroscience.

Shared and connection-specific intrinsic in the default mode network

N. Wenderoth, D. Mantini, M. Marino, 2019 .

State-dependent tDCS modulation of the somatomotor network: A MEG study

G. Pellegrino, G. Arcara, M. Marino, 2022, Clinical Neurophysiology.

Altered language network lateralization in euthymic bipolar patients: a pilot study

D. Mantini, A. Angrilli, M. Marino, 2022, Translational Psychiatry.

Default mode network alterations underlie auditory verbal hallucinations in schizophrenia.

K. Hugdahl, D. Mantini, A. Angrilli, 2022, Journal of psychiatric research.

WHOCARES: WHOle-brain CArdiac signal REgression from highly accelerated simultaneous multi-Slice fMRI acquisitions

G. Pellegrino, G. Arcara, M. Marino, 2022, Journal of neural engineering.

A Local Signature of LTP-Like Plasticity Induced by Repetitive Paired Associative Stimulation

P. Manganotti, R. Calabró, A. Naro, 2015, Brain Topography.

Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI

Dante Mantini, Nicole Wenderoth, Quanying Liu, 2018, Scientific Reports.

Heart–Brain Interactions in the MR Environment: Characterization of the Ballistocardiogram in EEG Signals Collected During Simultaneous fMRI

Dante Mantini, Quanying Liu, Cristiana Corsi, 2017, Brain Topography.

Characterisation of Haemodynamic Activity in Resting State Networks by Fractal Analysis

Stephen D. Mayhew, Dante Mantini, Camillo Porcaro, 2020, Int. J. Neural Syst..

Shared and connection-specific intrinsic interactions in the default mode network

Dante Mantini, Nicole Wenderoth, Jessica Samogin, 2019, NeuroImage.

Default mode network shows alterations for low-frequency fMRI fluctuations in euthymic bipolar disorder.

D. Mantini, A. Angrilli, M. Marino, 2021, Journal of psychiatric research.

Online EEG artifact removal for BCI applications by adaptive spatial filtering

Marco Ganzetti, Dante Mantini, Federico Barban, 2018, Journal of neural engineering.

Conductivity Tensor Imaging of the Human Brain Using Water Mapping Techniques

D. Mantini, L. Cordero-Grande, M. Marino, 2021, Frontiers in Neuroscience.

Hand, foot and lip representations in primary sensorimotor cortex: a high-density electroencephalography study

Dante Mantini, Stephan P. Swinnen, Mingqi Zhao, 2019, Scientific Reports.

Neuronal dynamics enable the functional differentiation of resting state networks in the human brain

Franca Tecchio, Dante Mantini, Jessica Samogin, 2018, Human brain mapping.

Frequency‐dependent functional connectivity in resting state networks

Patrick Dupont, Dante Mantini, Jessica Samogin, 2020, Human brain mapping.

Automated detection and labeling of high-density EEG electrodes from structural MR images

Silvia Brem, Dante Mantini, Nicole Wenderoth, 2016, Journal of neural engineering.

Detection of Resting-State Functional Connectivity from High-Density Electroencephalography Data: Impact of Head Modeling Strategies

Gaia Amaranta Taberna, D. Mantini, M. Marino, 2021, Brain sciences.

Language Network Connectivity of Euthymic Bipolar Patients Is Altered at Rest and during a Verbal Fluency Task

D. Mantini, A. Angrilli, M. Marino, 2023, Biomedicines.

Education differentiates cognitive performance and resting state fMRI connectivity in healthy aging

D. Mantini, N. Filippini, G. Arcara, 2023, bioRxiv.

Spatial localization of EEG electrodes using 3D scanning

Marco Ganzetti, Dante Mantini, Gaia Amaranta Taberna, 2019, Journal of neural engineering.

Fractal Dimension Feature as a Signature of Severity in Disorders of Consciousness: An EEG Study

P. Tonin, C. Porcaro, M. Marino, 2022, Int. J. Neural Syst..

Shared and connection-specific intrinsic interactions in the default mode network

N. Wenderoth, D. Mantini, M. Marino, 2019, NeuroImage.

University of Birmingham Characterisation of haemodynamic activity in resting state networks by fractal analysis

Stephen D. Mayhew, D. Mantini, C. Porcaro, 2020 .

fMRI fluctuations within the language network are correlated with severity of hallucinatory symptoms in schizophrenia

A. Angrilli, M. Marino, C. Spironelli, 2023, Schizophrenia.

Automated detection and labeling of high-density EEG electrodes from structural MR images

N. Wenderoth, D. Mantini, S. Brem, 2016, Journal of neural engineering.

Large-scale analysis of neural activity and connectivity from high-density electroencephalographic data

Gaia Amaranta Taberna, M. Marino, Jessica Samogin, 2024, Comput. Biol. Medicine.

Unveiling altered connectivity between cognitive networks and cerebellum in schizophrenia

M. Marino, D. Mantini, Margherita Biondi, 2024, Schizophrenia Research.