Jlenia Toppi

Jlenia Toppi

Sapienza Università di Roma

H-index: 27

Europe-Italy

About Jlenia Toppi

Jlenia Toppi, With an exceptional h-index of 27 and a recent h-index of 23 (since 2020), a distinguished researcher at Sapienza Università di Roma,

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

Measuring Connectivity in Linear Multivariate Processes with Penalized Regression Techniques

EEG-based quantitative measures to support the clinical prognosis of disorders of consciousness

Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation

Re-Configuration of Resting state brain networks after BCI training in stroke patients

DiSCIoser: unlocking recovery potential of arm sensorimotor functions after spinal cord injury by promoting activity-dependent brain plasticity by means of brain-computer …

Cortico-Muscular Coupling to control a hybrid Brain-Computer Interface for upper limb motor rehabilitation

EEG indices of responsiveness in Minimally Conscious State

Identifying the best candidates for a rehabilitative BCI targeting upper limb motor recovery

Jlenia Toppi Information

University

Position

Dipartimento di Ingegneria Informatica Automatica e Gestionale

Citations(all)

3384

Citations(since 2020)

2068

Cited By

2125

hIndex(all)

27

hIndex(since 2020)

23

i10Index(all)

50

i10Index(since 2020)

43

Email

University Profile Page

Sapienza Università di Roma

Google Scholar

View Google Scholar Profile

Top articles of Jlenia Toppi

Title

Journal

Author(s)

Publication Date

Measuring Connectivity in Linear Multivariate Processes with Penalized Regression Techniques

IEEE Access

Yuri Antonacci

Jlenia Toppi

Antonio Pietrabissa

Alessandra Anzolin

Laura Astolfi

2024/2/21

EEG-based quantitative measures to support the clinical prognosis of disorders of consciousness

I Quattrociocchi

A Riccio

M D’Ippolito

M Aloisi

R Formisano

...

2023

Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation

Journal of NeuroEngineering and Rehabilitation

Floriana Pichiorri

Jlenia Toppi

Valeria de Seta

Emma Colamarino

Marcella Masciullo

...

2023/1/14

Re-Configuration of Resting state brain networks after BCI training in stroke patients

A Ranieri

F Pichiorri

J Toppi

E Colamarino

E Mongiardini

...

2023

DiSCIoser: unlocking recovery potential of arm sensorimotor functions after spinal cord injury by promoting activity-dependent brain plasticity by means of brain-computer …

BMC neurology

Emma Colamarino

Matteo Lorusso

Floriana Pichiorri

Jlenia Toppi

Federica Tamburella

...

2023/11/21

Cortico-Muscular Coupling to control a hybrid Brain-Computer Interface for upper limb motor rehabilitation

V de Seta

F Pichiorri

E Colamarino

R Molle

F Castellani

...

2023

EEG indices of responsiveness in Minimally Conscious State

Valentina Galiotta

Ilaria Quattrociocchi

Caracci Valentina

Jlenia Toppi

D’Ippolito Mariagrazia

...

2023

Identifying the best candidates for a rehabilitative BCI targeting upper limb motor recovery

Pichiorri Floriana

Jlenia Toppi

Emma Colamarino

Elena Mongiardini

Andrea Ranieri

...

2023

Inter-limb muscle synergy similarity as marker of post-stroke impairment in Box & Block Test

Gait & Posture

E Colamarino

F Pichiorri

V de Seta

M Lorusso

F Tamburella

...

2023/10/1

Detecting fluctuation of responsiveness in Minimally Conscious State patients

Riccio Angela

Caracci Valentina

Ilaria Quattrociocchi

Valentina Galiotta

Pietro Aricò

...

2023

On the use of PARAFAC algorithm in group network analysis: a simulation study

A Ranieri

F Pichiorri

E Colamarino

V de Seta

D Mattia

...

2023

Kinematic evaluation of upper limb impairment in stroke survivors through box and block test and IMUs

Luca Mattioli

Ilaria Mileti

Donatella Mattia

Febo Cincotti

Ilaria Conforti

...

2023/6/14

Brain-Computer Interface assisted Motor Imagery training in post-stroke rehabilitation: longitudinal study of the EEG sensorimotor rhythms

E Mongiardini

E Colamarino

F Pichiorri

A Ranieri

J Toppi

...

2023

Feature selection algorithms to optimize corticomuscular coherence-based BCI for hand motor rehabilitation

Emma Colamarino

Valeria DE SETA

Floriana Pichiorri

Jlenia Toppi

Donatella Mattia

...

2023

Parallel Factorization to Implement Group Analysis in Brain Networks Estimation

Sensors

Andrea Ranieri

Floriana Pichiorri

Emma Colamarino

Valeria de Seta

Donatella Mattia

...

2023/2/3

Long-term effect on EEG sensorimotor responsiveness to motor imagery after a BCI training for stroke rehabilitation

E Mongiardini

F Pichiorri

E Colamarino

A Ranieri

J Toppi

...

2023

Low Frequency Brain Oscillations for Brain-Computer Interface applications: from the sources to the scalp domain

E Mongiardini

E Colamarino

J Toppi

V De Seta

F Pichiorri

...

2022/10/26

The Role of the Temporoparietal Junction (TPJ) in the Patient/clinician Interaction During Evoked Pain Treatment–a Hyperscan EEG Study

The Journal of Pain

Alessandra Anzolin

Arvina Grahl

Maya Barton Zuckerman

Kylie Isenburg

Jlenia Toppi

...

2022/5/1

Automatic Selection of Control Features for Electroencephalography-Based Brain–Computer Interface Assisted Motor Rehabilitation: The GUIDER Algorithm

Brain topography

Emma Colamarino

Floriana Pichiorri

Jlenia Toppi

Donatella Mattia

Febo Cincotti

2022/3

A novel approach to measure brain-to-brain spatial and temporal alignment during positive empathy

Scientific reports

J Toppi

Michael Siniatchkin

P Vogel

CM Freitag

L Astolfi

...

2022/10/14

See List of Professors in Jlenia Toppi University(Sapienza Università di Roma)