Francesco Asci

About Francesco Asci

Francesco Asci, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at Sapienza Università di Roma, specializes in the field of Neuroscienze, Disordini del movimento, Plasticità sinaptica.

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

Cohort analysis of novel SPAST variants in SPG4 patients and implementation of in vitro and in vivo studies to identify the pathogenic mechanism caused by …

Effects of deep brain stimulation of the subthalamic nucleus on patients with Parkinson's disease: a machine-learning voice analysis

Pain-motor integration in chronic pain: A neurophysiological study

Rigidity in Parkinson’s disease: evidence from biomechanical and neurophysiological measures

Voice Disorder Multi-Class Classification for the Distinction of Parkinson’s Disease and Adductor Spasmodic Dysphonia

Acoustic analysis in stuttering: a machine-learning study

Robust and language-independent acoustic features in Parkinson's disease

Artificial intelligence-based voice assessment of patients with Parkinson’s disease off and on treatment: machine vs. deep-learning comparison

Francesco Asci Information

University

Position

Specializzando in Neurologia Dipartimento di Neuroscienze Umane

Citations(all)

568

Citations(since 2020)

565

Cited By

80

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

21

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Francesco Asci Skills & Research Interests

Neuroscienze

Disordini del movimento

Plasticità sinaptica

Top articles of Francesco Asci

Cohort analysis of novel SPAST variants in SPG4 patients and implementation of in vitro and in vivo studies to identify the pathogenic mechanism caused by …

Frontiers in Neurology

2023/12/7

Effects of deep brain stimulation of the subthalamic nucleus on patients with Parkinson's disease: a machine-learning voice analysis

Frontiers in neurology

2023/10/19

Pain-motor integration in chronic pain: A neurophysiological study

Clinical Neurophysiology

2023/10/1

Rigidity in Parkinson’s disease: evidence from biomechanical and neurophysiological measures

Brain

2023/9

Voice Disorder Multi-Class Classification for the Distinction of Parkinson’s Disease and Adductor Spasmodic Dysphonia

Applied Sciences

2023/7/25

Acoustic analysis in stuttering: a machine-learning study

Frontiers in Neurology

2023/6/30

Robust and language-independent acoustic features in Parkinson's disease

Frontiers in Neurology

2023/6/13

Francesco Asci
Francesco Asci

H-Index: 6

Giovanni Saggio
Giovanni Saggio

H-Index: 17

Artificial intelligence-based voice assessment of patients with Parkinson’s disease off and on treatment: machine vs. deep-learning comparison

Sensors

2023/2/18

Parkinsonism Is Associated with Altered SMA-Basal Ganglia Structural and Functional Connectivity in Frontotemporal Degeneration

Biomedicines

2023/2/10

Inhibitory cortical control in healthy subjects: modulation of beta and gamma oscillations in frontal cortical areas

2023

Francesco Asci
Francesco Asci

H-Index: 6

Stefano Ferraina
Stefano Ferraina

H-Index: 24

Assessing the interaction between L‐dopa and γ‐transcranial alternating current stimulation effects on primary motor cortex plasticity in Parkinson's disease

European Journal of Neuroscience

2023/1

Decipher non-canonical SPAST splicing mutations with the help of functional assays in patients affected by spastic paraplegia 4 (SPG4)

Clinical Genetics

2022

Are beta oscillations always anti-kinetic in Parkinson's disease?

Clinical Neurophysiology

2022

Francesco Asci
Francesco Asci

H-Index: 6

Transcranial magnetic stimulation as a tool to induce and explore plasticity in humans

2022/1/1

Francesco Asci
Francesco Asci

H-Index: 6

Andrea Guerra
Andrea Guerra

H-Index: 12

Long-term changes in short-interval intracortical facilitation modulate motor cortex plasticity and L-dopa-induced dyskinesia in Parkinson's disease

Brain Stimulation

2022/1/1

Machine learning and wearable sensors for the early detection of balance disorders in parkinson’s disease

Sensors

2022/12/16

Assessing the interaction between L-dopa and γ-tACS effects on primary motor cortex plasticity in Parkinson's disease.

The European Journal of Neuroscience

2022/11/16

Handwriting Declines with Human Aging: A Machine Learning Study

Frontiers in Aging Neuroscience

2022

Voice in Parkinson's disease: a machine learning study

Frontiers in neurology

2022/2/15

See List of Professors in Francesco Asci University(Sapienza Università di Roma)