Silvia Francesca Storti

Silvia Francesca Storti

Università degli Studi di Verona

H-index: 25

Europe-Italy

About Silvia Francesca Storti

Silvia Francesca Storti, With an exceptional h-index of 25 and a recent h-index of 18 (since 2020), a distinguished researcher at Università degli Studi di Verona, specializes in the field of Signal and image processing, brain connectivity, EEG, fMRI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Disruptions in brain functional connectivity: The hidden risk for oxygen-intolerant professional divers in simulated deep water

Identifying the joint signature of brain atrophy and gene variant scores in Alzheimer’s Disease

Chasing brain dynamics at their speed: what can time-varying functional connectivity tell us about brain function?

Decoding the interplay between brain structural and functional connectivity in Alzheimer’s disease.

Enhancing Safety in Industry 4.0: The Use of Passive Brain Computer Interfaces for Vigilance Monitoring

Graph analysis of TMS–EEG connectivity reveals hemispheric differences following occipital stimulation

Brain-connectivity-based computer interfaces

Functional connectivity and feature fusion enhance multiclass motor-imagery brain–computer interface performance

Silvia Francesca Storti Information

University

Position

Assistant Professor Department of Computer Science (Italy)

Citations(all)

1865

Citations(since 2020)

914

Cited By

1280

hIndex(all)

25

hIndex(since 2020)

18

i10Index(all)

46

i10Index(since 2020)

34

Email

University Profile Page

Università degli Studi di Verona

Google Scholar

View Google Scholar Profile

Silvia Francesca Storti Skills & Research Interests

Signal and image processing

brain connectivity

EEG

fMRI

Top articles of Silvia Francesca Storti

Title

Journal

Author(s)

Publication Date

Disruptions in brain functional connectivity: The hidden risk for oxygen-intolerant professional divers in simulated deep water

Biocybernetics and Biomedical Engineering

Emanuela Formaggio

Lucio Pastena

Massimo Melucci

Lucio Ricciardi

Silvia Francesca Storti

2024/1/1

Identifying the joint signature of brain atrophy and gene variant scores in Alzheimer’s Disease

Journal of Biomedical Informatics

Federica Cruciani

Antonino Aparo

Lorenza Brusini

Carlo Combi

Silvia F Storti

...

2024/1/1

Chasing brain dynamics at their speed: what can time-varying functional connectivity tell us about brain function?

Frontiers in Neuroscience

Maria Rubega

Silvia Francesca Storti

David Pascucci

2023/6/13

Decoding the interplay between brain structural and functional connectivity in Alzheimer’s disease.

EIGHTH NATIONAL CONGRESS OF BIOENGINEERING Proceedings

Filippi Virginia

E Paolini

F Cruciani

L Brusini

Francesco Dal Santo

...

2023

Enhancing Safety in Industry 4.0: The Use of Passive Brain Computer Interfaces for Vigilance Monitoring

EIGHTH NATIONAL CONGRESS OF BIOENGINEERING Proceedings

E Cinquetti

Ilaria Siviero

G Menegaz

SF Storti

2023

Graph analysis of TMS–EEG connectivity reveals hemispheric differences following occipital stimulation

Sensors

Ilaria Siviero

Davide Bonfanti

Gloria Menegaz

Silvia Savazzi

Chiara Mazzi

...

2023/10/30

Brain-connectivity-based computer interfaces

Ilaria Boscolo Galazzo

Luca Tonin

Aleksandar Miladinović

Silvia Francesca Storti

2023/9/5

Functional connectivity and feature fusion enhance multiclass motor-imagery brain–computer interface performance

Sensors

Ilaria Siviero

Gloria Menegaz

Silvia Francesca Storti

2023/8/30

The optimized combination of aCompCor and ICA-AROMA to reduce motion and physiologic noise in task fMRI data

Biomedical Physics & Engineering Express

Peter Van Schuerbeek

Linde De Wandel

Chris Baeken

2022/7/1

Explainable artificial intelligence for magnetic resonance imaging aging brainprints: Grounds and challenges

Ilaria Boscolo Galazzo

Federica Cruciani

Lorenza Brusini

Ahmed Salih

Petia Radeva

...

2022/2/24

eXplainable AI allows predicting upper limb rehabilitation outcomes in sub-acute stroke patients

IEEE Journal of Biomedical and Health Informatics

Marialuisa Gandolfi

Ilaria Boscolo Galazzo

Rudy Gasparin Pavan

Federica Cruciani

Nicola Vale

...

2022/11/7

Motor-imagery EEG signal decoding using multichannel-empirical wavelet transform for brain computer interfaces

Ilaria Siviero

Lorenza Brusini

Gloria Menegaz

Silvia F Storti

2022/9/27

Test-Retest Reliability of Graph Metrics in Functional Brain Network

PLoS One

Haijing Niu

Zhen Li

Xuhong Liao

Jinhui Wang

Tengda Zhao

...

2013/9/9

Connectivity Modeling meets Machine Learning: The next generation of EEG-based Brain Computer Interfaces

Francesca Stival

Francesco Setti

Gloria Menegaz

Silvia Francesca Storti

2021/5/4

Multivariate data analysis suggests the link between brain microstructure and cognitive impairment in multiple sclerosis

Lorenza Brusini

Federica Cruciani

Ilaria Boscolo Galazzo

Marco Pitteri

Silvia F Storti

...

2021/4/13

Connectivity modulations induced by reach&grasp movements: a multidimensional approach

Scientific Reports

Pietro Caliandro

Gloria Menegaz

Chiara Iacovelli

Carmela Conte

Giuseppe Reale

...

2021/11/29

Reliability of functional connectivity measures in resting-state test-retest fmri data

I Boscolo Galazzo

Edoardo Paolini

Walter Endrizzi

Francesco Zumerle

Gloria Menegaz

...

2021/4/13

A systematic review on motor-imagery brain-connectivity-based computer interfaces

Lorenza Brusini

Francesca Stival

Francesco Setti

Emanuele Menegatti

Gloria Menegaz

...

2021/10/18

Disentangling the association between genetics and functional connectivity in Mild Cognitive Impairment

Heba Elshatoury

Federica Cruciani

Francesco Zumerle

Silvia F Storti

André Altmann

...

2021/7/27

EEG to identify attempted movement in unresponsive wakefulness syndrome

Clinical EEG and Neuroscience

Emanuela Formaggio

Alessandra Del Felice

Marianna Cavinato

Silvia F Storti

Chiara Arcaro

...

2020/9

See List of Professors in Silvia Francesca Storti University(Università degli Studi di Verona)