Piergiuseppe Liuzzi
YOU?
Author Swipe
View article: Temporal network instability and low-frequency overconnectivity underlie disorders of consciousness in severe brain injury
Temporal network instability and low-frequency overconnectivity underlie disorders of consciousness in severe brain injury Open
View article: Non-immersive virtual reality for cognitive rehabilitation of individuals with severe acquired brain injury (VR-sABI): study protocol for a multicentric randomized controlled trial
Non-immersive virtual reality for cognitive rehabilitation of individuals with severe acquired brain injury (VR-sABI): study protocol for a multicentric randomized controlled trial Open
ClinicalTrials.gov NCT06474871. Registered on December 2, 2024.
View article: Environmental Complexity and Respiratory Health: A Data-Driven Exploration Across European Regions
Environmental Complexity and Respiratory Health: A Data-Driven Exploration Across European Regions Open
This paper examines the environmental and infrastructure determinants of respiratory disease mortality (TRD) across European nation-states through an original combination of econometric, machine learning, clustering, and network-based appr…
View article: Respiratory Rehabilitation Index (R2I): Unsupervised Clustering Approach to Identify COPD Subgroups Associated with Rehabilitation Outcomes
Respiratory Rehabilitation Index (R2I): Unsupervised Clustering Approach to Identify COPD Subgroups Associated with Rehabilitation Outcomes Open
Background/Objectives: Chronic obstructive pulmonary disease (COPD) is a progressive condition whose heterogeneous endotypes, clinical manifestations, and recovery pathways complicate the identification of reliable predictors of rehabilita…
View article: Sleep quality patterns in patients with heart failure: a person-centred latent class analysis from a secondary analysis of the MOTIVATE-HF trial
Sleep quality patterns in patients with heart failure: a person-centred latent class analysis from a secondary analysis of the MOTIVATE-HF trial Open
Objectives To identify distinct sleep quality patterns among patients with heart failure (HF) using a person-centred approach and explore demographic and clinical predictors of these patterns. Design Secondary analysis of baseline cross-se…
View article: Electrophysiological-based automatic subgroups diagnosis of patients with chronic dysimmune polyneuropathies
Electrophysiological-based automatic subgroups diagnosis of patients with chronic dysimmune polyneuropathies Open
Background Chronic Dysimmune Polyneuropathies (CDP) encompass a group of conditions characterized by autoimmune etiology targeting myelin and/or axonal components. Subgroups include Chronic Inflammatory Demyelinating Polyneuropathy (CIDP) …
View article: Can artificial intelligence improve the diagnosis and prognosis of disorders of consciousness? A scoping review
Can artificial intelligence improve the diagnosis and prognosis of disorders of consciousness? A scoping review Open
Background Artificial intelligence (AI), in the form of machine learning (ML) or deep learning (DL) models, can aid clinicians in the diagnostic process and/or in the prognosis of critically medical conditions, as for patients with a disor…
View article: Predictors of Recovering Full Consciousness: Results From a Prospective Multisite Italian Study
Predictors of Recovering Full Consciousness: Results From a Prospective Multisite Italian Study Open
Background Improving prognostication in patients with a prolonged disorder of consciousness (pDoC) is among the most challenging issues in neurorehabilitation. The aim of this Italian multisite prospective longitudinal study was to identif…
View article: A neurophysiological profiling of the heartbeat‐evoked potential in severe acquired brain injuries: A focus on unconsciousness
A neurophysiological profiling of the heartbeat‐evoked potential in severe acquired brain injuries: A focus on unconsciousness Open
Unconsciousness in severe acquired brain injury (sABI) patients occurs with different cognitive and neural profiles. Perturbational approaches, which enable the estimation of proxies for brain reorganization, have added a new avenue for in…
View article: Eeg-Based Time-Varying Graph Analysis Discriminates Patients with Prolonged Disorders of Consciousness
Eeg-Based Time-Varying Graph Analysis Discriminates Patients with Prolonged Disorders of Consciousness Open
View article: Brain microstate spatio-temporal dynamics as a candidate endotype of consciousness
Brain microstate spatio-temporal dynamics as a candidate endotype of consciousness Open
View article: Neural coding of autonomic functions in different states of consciousness
Neural coding of autonomic functions in different states of consciousness Open
View article: Machine learning based estimation of dynamic balance and gait adaptability in persons with neurological diseases using inertial sensors
Machine learning based estimation of dynamic balance and gait adaptability in persons with neurological diseases using inertial sensors Open
View article: Multiplexing Biosensor for the Detection of Extracellular Vesicles as Biomarkers of Tissue Damage and Recovery after Ischemic Stroke
Multiplexing Biosensor for the Detection of Extracellular Vesicles as Biomarkers of Tissue Damage and Recovery after Ischemic Stroke Open
The inflammatory, reparative and regenerative mechanisms activated in ischemic stroke patients immediately after the event cooperate in the response to injury, in the restoration of functions and in brain remodeling even weeks after the ev…
View article: Can Respiration Complexity Help the Diagnosis of Disorders of Consciousness in Rehabilitation?
Can Respiration Complexity Help the Diagnosis of Disorders of Consciousness in Rehabilitation? Open
Background: Autonomic Nervous System (ANS) activity, as cardiac, respiratory and electrodermal activity, has been shown to provide specific information on different consciousness states. Respiration rates (RRs) are considered indicators of…
View article: Predicting Long-Term Recovery of Consciousness in Prolonged Disorders of Consciousness Based on Coma Recovery Scale-Revised Subscores: Validation of a Machine Learning-Based Prognostic Index
Predicting Long-Term Recovery of Consciousness in Prolonged Disorders of Consciousness Based on Coma Recovery Scale-Revised Subscores: Validation of a Machine Learning-Based Prognostic Index Open
Prognosis of prolonged Disorders of Consciousness (pDoC) is influenced by patients’ clinical diagnosis and Coma Recovery Scale-Revised (CRS-R) total score. We compared the prognostic accuracy of a novel Consciousness Domain Index (CDI) wit…
View article: The Impact of Cerebral Amyloid Angiopathy on Functional Outcome of Patients Affected by Spontaneous Intracerebral Hemorrhage Discharged from Intensive Inpatient Rehabilitation: A Cohort Study
The Impact of Cerebral Amyloid Angiopathy on Functional Outcome of Patients Affected by Spontaneous Intracerebral Hemorrhage Discharged from Intensive Inpatient Rehabilitation: A Cohort Study Open
Background: Sporadic CAA is recognized as a major cause of sICH and sABI. Even if intensive rehabilitation is recommended to maximize functional recovery after sICH, no data are available on whether CAA may affect rehabilitation outcomes. …
View article: EEG-based methods for recovery prognosis of patients with disorders of consciousness: A systematic review
EEG-based methods for recovery prognosis of patients with disorders of consciousness: A systematic review Open
This study emphasises the need for further efforts toward guidelines on standardised EEG analysis pipeline, given the already proven role of EEG markers in the recovery prognosis of patients with DoC.
View article: Cross-validation of predictive models for functional recovery after post-stroke rehabilitation
Cross-validation of predictive models for functional recovery after post-stroke rehabilitation Open
View article: Predicting outcome of patients with prolonged disorders of consciousness using machine learning models based on medical complexity
Predicting outcome of patients with prolonged disorders of consciousness using machine learning models based on medical complexity Open
View article: Machine learning methods for functional recovery prediction and prognosis in post-stroke rehabilitation: a systematic review
Machine learning methods for functional recovery prediction and prognosis in post-stroke rehabilitation: a systematic review Open
View article: Effects of control strategies on gait in robot-assisted post-stroke lower limb rehabilitation: a systematic review
Effects of control strategies on gait in robot-assisted post-stroke lower limb rehabilitation: a systematic review Open
View article: Predicting SARS-CoV-2 infection duration at hospital admission:a deep learning solution
Predicting SARS-CoV-2 infection duration at hospital admission:a deep learning solution Open
View article: Merging Clinical and EEG Biomarkers in an Elastic-Net Regression for Disorder of Consciousness Prognosis Prediction
Merging Clinical and EEG Biomarkers in an Elastic-Net Regression for Disorder of Consciousness Prognosis Prediction Open
Patients with Disorder of Consciousness (DoC) entering Intensive Rehabilitation Units after a severe Acquired Brain Injury have a highly variable evolution of the state of consciousness which is a complex aspect to predict. Besides clinica…
View article: Effects of COVID-19 pandemic on intensive rehabilitation after severe acquired brain injuries
Effects of COVID-19 pandemic on intensive rehabilitation after severe acquired brain injuries Open