Francesco Famà
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View article: Unveiling Cortical Criticality Changes along the Prodromal to the Overt Continuum of Alpha-Synucleinopathy
Unveiling Cortical Criticality Changes along the Prodromal to the Overt Continuum of Alpha-Synucleinopathy Open
Patients with idiopathic/isolated REM sleep behavior disorder (iRBD) are in the prodromal stage of alpha-synucleinopathies. Neurodegeneration early affects subcortical structures, including the substantia nigra, in iRBD patients. However, …
View article: Investigating the impact of the years of blindness on sleep rhythms, dream patterns, and spatial abilities: The BLINDREAM protocol
Investigating the impact of the years of blindness on sleep rhythms, dream patterns, and spatial abilities: The BLINDREAM protocol Open
Sleep health is a topic of great interest in recent years. However, it is still often undervalued in vulnerable populations, such as those with sensory disorders. A higher percentage of blind individuals experience circadian disorders, and…
View article: Network based statistics shows that rem sleep behavior disorder and visual hallucinations increase functional connectivity in early dementia with Lewy bodies
Network based statistics shows that rem sleep behavior disorder and visual hallucinations increase functional connectivity in early dementia with Lewy bodies Open
Dementia with Lewy Bodies (DLB) is a heterogeneous disease characterized by four core clinical features, namely visual hallucinations, REM sleep behaviour disorder (RBD), cognitive fluctuations and parkinsonism. In this paper, we perform f…
View article: Abnormal electroencephalographic rhythms from quiet wakefulness to light sleep in Alzheimer’s disease patients with mild cognitive impairment
Abnormal electroencephalographic rhythms from quiet wakefulness to light sleep in Alzheimer’s disease patients with mild cognitive impairment Open
Our study showed a derangement of EEG rhythms during the transition to sleep possibly specific to AD.
View article: Resting-State EEG Alpha Rhythms Are Related to CSF Tau Biomarkers in Prodromal Alzheimer’s Disease
Resting-State EEG Alpha Rhythms Are Related to CSF Tau Biomarkers in Prodromal Alzheimer’s Disease Open
Patients with mild cognitive impairment due to Alzheimer’s disease (ADMCI) typically show abnormally high delta (<4 Hz) and low alpha (8–12 Hz) rhythms measured from resting-state eyes-closed electroencephalographic (rsEEG) activity. Here,…
View article: Relationship between Posterior Resting-State Electroencephalographic Alpha Rhythms and Cerebrospinal Fluid Biomarkers of Neuropathology in Patients with Alzheimer’s Disease Mild Cognitive Impairment
Relationship between Posterior Resting-State Electroencephalographic Alpha Rhythms and Cerebrospinal Fluid Biomarkers of Neuropathology in Patients with Alzheimer’s Disease Mild Cognitive Impairment Open
The present study was developed based on the data of The PDWAVES Consortium (www.pdwaves.eu) and the PharmaCog project. The Partners and institutional affiliations are reported on the cover page of this manuscript. In this study, the clini…
View article: Assessment of QT variability in Parkinson’s Disease and REM Sleep Behaviour Disorder during REM phase
Assessment of QT variability in Parkinson’s Disease and REM Sleep Behaviour Disorder during REM phase Open
QT interval variability (QTV) is a marker of ventricular repolarization variability, frequently associated with sympathetic outflow and cardiovascular risk. This study explores QTV in drug-naϊve ten Parkison's disease (PD), ten PD with Rap…
View article: Autonomic Dysfunction in REM Sleep Disorder: The Role of Respiration in HRV Analysis<sup>*</sup>
Autonomic Dysfunction in REM Sleep Disorder: The Role of Respiration in HRV Analysis<sup>*</sup> Open
Autonomic nervous system (ANS) has been suggested often associated with the isolated rapid eye movement (REM) sleep behavior disorder (iRBD), with iRBD, and heart rate variability (HRV) is a commonly used tool to assess it. However, the ac…
View article: Automatic quantification of REM sleep without atonia reliably identifies patients with REM sleep behavior disorder: a possible screening tool?
Automatic quantification of REM sleep without atonia reliably identifies patients with REM sleep behavior disorder: a possible screening tool? Open
Background REM Sleep Behavior Disorder (RBD) is characterized by absence of physiological muscle atonia during REM sleep (REM sleep without atonia, RWA). Nigro-striatal dopaminergic impairment is a feature of Parkinson disease (PD) and can…
View article: Two-week Computerized Cognitive Training Affects Resting-State Electroencephalographic Rhythms in Parkinson’s Disease Patients with Cognitive Deficits
Two-week Computerized Cognitive Training Affects Resting-State Electroencephalographic Rhythms in Parkinson’s Disease Patients with Cognitive Deficits Open
The present exploratory study tested the hypothesis that computerized cognitive training (CCT) in home telemonitoring may beneficially affect eyes-closed resting-state electroencephalographic (rsEEG) rhythms in Parkinson's disease pat…
View article: EEG-based machine learning models for the prediction of phenoconversion time and subtype in isolated rapid eye movement sleep behavior disorder
EEG-based machine learning models for the prediction of phenoconversion time and subtype in isolated rapid eye movement sleep behavior disorder Open
Study Objectives Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal stage of α-synucleinopathies and eventually phenoconverts to overt neurodegenerative diseases including Parkinson’s disease (PD), dementia with Lewy…
View article: Characterization of Sleep Structure and Autonomic Dysfunction in REM Sleep Behavior Disorder
Characterization of Sleep Structure and Autonomic Dysfunction in REM Sleep Behavior Disorder Open
Goal: REM Sleep Behavior Disorder (RBD) is a REM parasomnia that is associated to high risk of developing α-synucleinopathies, as Parkinson's disease (PD) or dementia with Lewy bodies, over time. This study aims at investigating the presen…
View article: EEG-based Machine Learning Models for the Prediction of Phenoconversion Time and Subtype in iRBD
EEG-based Machine Learning Models for the Prediction of Phenoconversion Time and Subtype in iRBD Open
Background Idiopathic/Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal stage of α-synucleinopathies and eventually phenoconverts to overt neurodegenerative diseases including Parkinson’s disease (PD), dementia with…
View article: Relationship between default mode network and resting-state electroencephalographic alpha rhythms in cognitively unimpaired seniors and patients with dementia due to Alzheimer’s disease
Relationship between default mode network and resting-state electroencephalographic alpha rhythms in cognitively unimpaired seniors and patients with dementia due to Alzheimer’s disease Open
Here we tested the hypothesis of a relationship between the cortical default mode network (DMN) structural integrity and the resting-state electroencephalographic (rsEEG) rhythms in patients with Alzheimer’s disease with dementia (ADD). Cl…
View article: What a single electroencephalographic (EEG) channel can tell us about Alzheimer's disease patients with mild cognitive impairment
What a single electroencephalographic (EEG) channel can tell us about Alzheimer's disease patients with mild cognitive impairment Open
Background Abnormalities in the neurophysiological oscillatory mechanisms generating dominant resting‐state eyes closed electroencephalographic (rsEEG) rhythms portray the Alzheimer’s disease (AD) continuum, from the preclinical to the dem…
View article: Patients with Alzheimer’s disease dementia show partially resilient parietal “HUBS” modeled from resting‐state alpha electroencephalographic rhythms
Patients with Alzheimer’s disease dementia show partially resilient parietal “HUBS” modeled from resting‐state alpha electroencephalographic rhythms Open
Background Graph theory models a network by its nodes and connections. “Degree” hubs reflect node centrality, while “connector” hubs are those linked to several clusters of nodes. Here we compared hubs modelled from measures of interdepend…
View article: Altered Brain Dynamics in idiopathic REM sleep behavior disorder: Implications for a continuum from prodromal to overt alpha-synucleinopathies
Altered Brain Dynamics in idiopathic REM sleep behavior disorder: Implications for a continuum from prodromal to overt alpha-synucleinopathies Open
Idiopathic/isolated REM sleep behavior disorder (iRBD) is considered a prodromal stage of alpha-synucleinopathies. Cortical and sub-cortical brain modifications begin years before the emergence of overt neurodegenerative symptoms. To bette…
View article: Validation of the REM behaviour disorder phenoconversion-related pattern in an independent cohort
Validation of the REM behaviour disorder phenoconversion-related pattern in an independent cohort Open
Background A brain glucose metabolism pattern related to phenoconversion in patients with idiopathic/isolated REM sleep behaviour disorder (iRBDconvRP) was recently identified. However, the validation of the iRBDconvRP in an external, inde…
View article: Patients with Alzheimer’s disease dementia show partially preserved parietal ‘hubs’ modeled from resting-state alpha electroencephalographic rhythms
Patients with Alzheimer’s disease dementia show partially preserved parietal ‘hubs’ modeled from resting-state alpha electroencephalographic rhythms Open
Introduction Graph theory models a network by its nodes (the fundamental unit by which graphs are formed) and connections. ‘Degree’ hubs reflect node centrality (the connection rate), while ‘connector’ hubs are those linked to several clus…
View article: Derivation and Validation of a Phenoconversion‐Related Pattern in Idiopathic Rapid Eye Movement Behavior Disorder
Derivation and Validation of a Phenoconversion‐Related Pattern in Idiopathic Rapid Eye Movement Behavior Disorder Open
Background Idiopathic rapid eye movement sleep behavior disorder (iRBD) represents the prodromal stage of α‐synucleinopathies. Reliable biomarkers are needed to predict phenoconversion. Objective The aim was to derive and validate a brain …
View article: Large-scale network metrics improve the classification performance of rapid-eye-movement sleep behavior disorder patients
Large-scale network metrics improve the classification performance of rapid-eye-movement sleep behavior disorder patients Open
Clinical decision support systems based on machine-learning algorithms are largely applied in the context of the diagnosis of neurodegenerative diseases (NDDs). While recent models yield robust classifications in supervised two classes-pro…
View article: Transfreq: A Python package for computing the theta‐to‐alpha transition frequency from resting state electroencephalographic data
Transfreq: A Python package for computing the theta‐to‐alpha transition frequency from resting state electroencephalographic data Open
A classic approach to estimate individual theta‐to‐alpha transition frequency (TF) requires two electroencephalographic (EEG) recordings, one acquired in a resting state condition and one showing alpha desynchronisation due, for example, t…