A5065362773- Functional Brain Connectivity Studies
- Balance, Gait, and Falls Prevention
- Neural dynamics and brain function
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Cerebral Palsy and Movement Disorders
- Genetic Neurodegenerative Diseases
- Amyotrophic Lateral Sclerosis Research
- EEG and Brain-Computer Interfaces
- Muscle activation and electromyography studies
- Multiple Sclerosis Research Studies
- Neuroendocrine regulation and behavior
- Effects of Vibration on Health
- Children's Physical and Motor Development
- Heart Rate Variability and Autonomic Control
- Motor Control and Adaptation
- Mental Health Research Topics
- Sport Psychology and Performance
- Stress Responses and Cortisol
- Context-Aware Activity Recognition Systems
- Alzheimer's disease research and treatments
- Sports Performance and Training
- Action Observation and Synchronization
Parthenope University of Naples
2017-2024
University of Chieti-Pescara
2023-2024
Sapienza University of Rome
2022-2023
Pegaso University
2023
University of Campania "Luigi Vanvitelli"
2022
Institute of Applied Science and Intelligent Systems
2020-2022
National Research Council
2020-2022
Astronomical Observatory of Capodimonte
2020-2022
Monash University
2022
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...
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...
Amyotrophic lateral sclerosis (ALS) is a multisystem disorder, as supported by clinical, molecular, and neuroimaging evidence. As consequence, predicting clinical features requires description of large-scale neuronal dynamics. Normally, brain activity dynamically reconfigures over time, recruiting different areas. Brain pathologies induce stereotyped dynamics which, in turn, are linked to impairment. Hence, based on recent evidence showing that functional networks become hyperconnected ALS...
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterised by functional connectivity alterations in both motor and extra-motor brain regions. Within the framework of network analysis, fingerprinting represents reliable approach to assess subject-specific features within given population (healthy or diseased). Here, we applied Clinical Connectome Fingerprint (CCF) analysis source-reconstructed magnetoencephalography (MEG) signals cohort seventy-eight subjects:...
Functional connectivity has been used as a framework to investigate widespread brain interactions underlying cognitive deficits in Mild Cognitive Impairment (MCI). However, many functional metrics focus on the average of periodic activities, disregarding aperiodic bursts activity (i.e., neuronal avalanches) characterising large-scale dynamic activities brain. Here, we apply recently described Avalanche Transition Matrix source-reconstructed magnetoencephalography signals cohort 32 MCI...
The brain operates in a flexible dynamic regime, generating complex patterns of activity (i.e. neuronal avalanches). This study aimed at describing how dynamics change according to menstrual cycle (MC) phases. Brain activation were estimated from resting-state magnetoencephalography (MEG) scans, acquired women early follicular (T1), peri-ovulatory (T2) and mid-luteal (T3) phases the MC. We investigated functional repertoire (number configurations based on fast high-amplitude bursts signals)...
Abstract The clinical connectome fingerprint (CCF) was recently introduced as a way to assess brain dynamics. It is an approach able recognize individuals, based on the network. showed its applicability providing network features used predict cognitive decline in preclinical Alzheimer's disease. In this article, we explore performance of CCF 47 Parkinson's disease (PD) patients and healthy controls, under hypothesis that would show reduced identifiability compared such reduction could be...
The functional organization of the brain is usually presented with a back-to-front gradient timescales, reflecting regional specialization sensory areas (back) processing information faster than associative (front), which perform integration. However, cognitive processes require not only local but also coordinated activity across regions. Using magnetoencephalography recordings, we find that connectivity at edge level (between two regions) characterized by timescales following gradient....
Brain connectome fingerprinting is progressively gaining ground in the field of brain network analysis. It represents a valid approach assessing subject-specific connectivity and, according to recent studies, predicting clinical impairment some neurodegenerative diseases. Nevertheless, its performance, and utility, Multiple Sclerosis (MS) has not yet been investigated.We conducted Clinical Connectome Fingerprint (CCF) analysis on source-reconstructed magnetoencephalography signals cohort 50...
To test the hypothesis that patients affected by Amyotrophic Lateral Sclerosis (ALS) show an altered spatio-temporal spreading of neuronal avalanches in brain, and this may related to clinical picture. We obtained source-reconstructed magnetoencephalography (MEG) signals from thirty-six ALS forty-two healthy controls. Then, we used construct avalanche transition matrix (ATM) corresponding network parameter nodal strength quantify changes each region, since provides key information about...
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...
Large-scale brain activity has long been investigated under the erroneous assumption of stationarity. Nowadays, we know that resting-state functional connectivity is characterized by aperiodic, scale-free bursts (i.e. neuronal avalanches) intermittently recruit different regions. These patterns represent a measure flexibility, whose reduction found to predict clinical impairment in multiple neurodegenerative diseases such as Parkinson's disease, amyotrophic lateral sclerosis and Alzheimer's...
The relationship between physical exercise and improvement in specific cognitive domains children adolescents who play sport has been recently reported, although the effects on visuospatial abilities have not yet well explored. This study is aimed at evaluating school-age practicing artistic gymnastics memory by using a table version of Radial Arm Maze (table-RAM) comparing their performances with those ones do any sport. 14 preadolescent girls aged 7 10 years playing were evaluated...
This study aimed to investigate differences in adolescents' social relationships with classmates of diverse gender, socioeconomic status, immigrant background, and academic achievement.A population 10th-grade students (N = 406,783; males 50.3%; Mage 15.57 years, SDage 0.75) completed the Classmates Social Isolation Questionnaire (CSIQ), an instrument specifically designed measure two distinct but correlated types peer class: acceptance friendship. To obtain reliable comparisons across...
Three-dimensional motion analysis represents a quantitative approach to assess spatio-temporal and kinematic changes in health disease. However, these parameters provide only segmental information, discarding minor of complex whole body kinematics characterizing physiological and/or pathological conditions. We aimed how levodopa intake affects the body, analyzing interactions during gait Parkinson's disease (PD) through network theory which relationships between elements system. To this end,...
The present study is aimed at investigating the development of spatial memory in pre-school children aged 4-6 years using an ecological walking task with multiple rewards. participants were to explore open space order find nine rewards placed buckets arranged three configurations: a Cross, 3x3 Matrix and Cluster composed groups each. Clear age-related improvements evident all parameters analysed. In fact, there was general trend for younger display worse performances than older ones....
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,...
Human voluntary movement stems from the coordinated activations in space and time of many musculoskeletal segments. However, current methodological approaches to study human are still limited evaluation synergies among a few body elements. Network science can be useful approach describe as whole extract features that relevant understanding both its complex physiology pathophysiology disorders. Here, we propose represent network (that named kinectome), where nodes points, edges defined...