A5091719496- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Balance, Gait, and Falls Prevention
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Cerebral Palsy and Movement Disorders
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
- Advanced Neuroimaging Techniques and Applications
- Effects of Vibration on Health
- Muscle activation and electromyography studies
- Atomic and Subatomic Physics Research
- Context-Aware Activity Recognition Systems
- Heart Rate Variability and Autonomic Control
- Genetic Neurodegenerative Diseases
- Amyotrophic Lateral Sclerosis Research
- stochastic dynamics and bifurcation
- Multiple Sclerosis Research Studies
- Neuroendocrine regulation and behavior
- Genetics and Neurodevelopmental Disorders
- Lysosomal Storage Disorders Research
- Hereditary Neurological Disorders
- thermodynamics and calorimetric analyses
- Non-Invasive Vital Sign Monitoring
- Physical Education and Training Studies
Hermitage Museum
2022
Parthenope University of Naples
2012-2021
Institute of Applied Science and Intelligent Systems
2018-2021
Astronomical Observatory of Capodimonte
2015-2021
National Research Council
2019-2021
University of Naples Federico II
2012
Abstract Rapid reconfigurations of brain activity support efficient neuronal communication and flexible behaviour. Suboptimal dynamics is associated to impaired adaptability, possibly leading functional deficiencies. We hypothesize that flexibility in can lead motor cognitive symptoms Parkinson’s disease (PD). To test this hypothesis, we studied the ‘functional repertoire’—the number distinct configurations neural activity—using source-reconstructed magnetoencephalography PD patients...
Brain activity during rest displays complex, rapidly evolving patterns in space and time. Structural connections comprising the human connectome are hypothesized to impose constraints on dynamics of this activity. Here, we use magnetoencephalography (MEG) quantify extent which fast neural brain constrained by structural inferred from diffusion MRI tractography. We characterize spatio-temporal unfolding whole-brain at millisecond scale source-reconstructed MEG data, estimating probability...
This study hypothesizes that the brain shows hyper connectedness as amyotrophic lateral sclerosis (ALS) progresses. 54 patients (classified "early stage" or "advanced stage") and 25 controls underwent magnetoencephalography MRI recordings. The activity of areas was reconstructed, synchronization between them estimated in classical frequency bands using phase lag index. Brain topological metrics such leaf fraction (number nodes with degree 1), divergence (a measure scale-freeness) correlation...
It has been suggested that the practice of meditation is associated to neuroplasticity phenomena, reducing age-related brain degeneration and improving cognitive functions. Neuroimaging studies have shown connectivity changes in meditators. In present work, we aim describe possible long-term effects on networks. To this aim, used magnetoencephalography study functional resting-state networks Vipassana We observed topological modifications network meditators compared controls. More...
Brain connectome fingerprinting is rapidly rising as a novel influential field in brain network analysis. Yet, it still unclear whether connectivity fingerprints could be effectively used for mapping and predicting disease progression from human data. We hypothesize that dysregulation of activity would reflect worse subject identification. propose framework, Clinical Connectome Fingerprinting, to detect individual features clinical populations. show "clinical fingerprints" can map variations...
The problem of describing how different brain areas interact between each other has been granted a great deal attention in the last years. idea that neuronal ensembles behave as oscillators and they communicate through synchronization is now widely accepted. To this regard, EEG MEG provide signals allow estimation such communication vivo. Hence, phase-based metrics are essential. However, application phased-based for measuring connectivity proved problematic so far, since appear to be less...
There is general agreement that the neuropathological processes leading to Alzheimer's disease (AD) begin decades before clinical onset. In order detect early topological changes, we applied functional connectivity and network analysis magnetoencephalographic (MEG) data obtained from 16 patients with amnestic Mild Cognitive Impairment (aMCI), a prodromal stage of AD, matched healthy control (HCs). Significant differences between two groups were found in theta band, which associated memory...
Our aim was to describe the rearrangements of brain activity related genetic mutations in SPAST gene.
The menstrual cycle (MC) is a sex hormone-related phenomenon that repeats itself cyclically during the woman's reproductive life. In this explorative study, we hypothesized coordinated variations of multiple hormones may affect large-scale organization brain functional network and that, in turn, such changes might have psychological correlates, even absence overt clinical signs anxiety and/or depression. To test our hypothesis, investigated longitudinally, across MC, relationship between...
Aim: The aim of the present study is to investigate relationship between both functional connectivity and brain networks with cognitive decline, in patients Parkinson's disease (PD). Introduction: PD phenotype not limited motor impairment but, rather, a wide range non-motor disturbances can occur, being one most common. However, how large-scale organization activity differs cognitively impaired patients, as opposed preserved ones, remains poorly understood. Methods: Starting from...
Sleep is a fundamental physiological process necessary for efficient cognitive functioning especially in relation to memory consolidation and executive functions, such as attentional switching abilities. The lack of sleep strongly alters the connectivity some resting-state networks, default mode network network. In this study, by means magnetoencephalography (MEG) specific tasks, we investigated how brain topology are affected 24 h deprivation (SD). Thirty-two young men underwent MEG...
Type 1 Gaucher's disease (GD1) is traditionally regarded as "non-neurological". Spatiotemporal and kinematic analysis of gait was carried on thirteen GD1 patients healthy controls. We identified a previously unknown subclinical reduction amplitude movements in GD1. Articular excu rsion ankle, knee hip reduced during the swing phase (p < 0.0001). Furthermore, excursion appeared also significantly more asymmetric = 0.02). Correction for age, BMI basal walking speed did not modify significance....
The efficacy of rhythmic acoustic stimulation (RAS) to improve gait and balance in healthy elderly individuals is controversial. Our aim was investigate, through 3D analysis, the effect different types RAS (fixed frequency based on subject-specific cadence), using conventional parameters trunk displacement as readouts. Walking at a fixed 80 bpm, subjects showed extended duration cycle increased variability while same individuals, walking 120 reduced sway duration. With regard frequencies,...
Many complex systems, such as the brain, display large-scale coordinated interactions that create ordered patterns. Classically, patterns have been studied using framework of criticality, i.e. at a transition point between two qualitatively distinct This kind system is generally characterized by scale-invariant organization, in space and time, optimally described power-law distribution whose slope quantified an exponent α. The dynamics these systems alternating periods activations, called...
Abstract Parkinson's disease (PD) is characterized by motor impairment, affecting quality of life and increasing fall risk, due to ineffective postural control. To this day, the diagnosis remains based on clinical approach. Similarly, evaluation heterogeneous, operator-dependent observational criteria. A synthetic, replicable index quantify impairment still lacking. Hence, we have designed a new measure stability which assesses trunk displacement in relation center mass, that named (TDI)....
Aim: The present study aims at investigating the possible correlation between peripheral markers of inflammation and brain networks. Introduction: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease dominated by progressive motor impairment. Among complex mechanisms contributing to pathogenesis disease, neuroinflammation, which associated with altered circulating cytokine levels, suggested play prominent role. Methods: Based on magnetoencephalography data, we estimated...
Abstract Background Brain areas need to coordinate their activity in order enable complex behavioral responses. Synchronization is one of the mechanisms neural ensembles use communicate. While synchronization between signals operating at similar frequencies fairly straightforward, estimation occurring different oscillations has proven harder capture. One specifically hard challenge estimate cross-frequency broadband when no a priori hypothesis available about involved synchronization....
The problem of cleaning magnetoencephalographic data is addressed in this manuscript. At present, several denoising procedures have been proposed the literature, nevertheless their adoption limited due to difficulty implementing and properly tuning algorithms. Therefore, as today, gold standard remains manual cleaning. We propose an approach developed with aim automating each step Its peculiarities are ease implementation using remarkable reproducibility results. Interestingly, algorithm has...