A5004494678- Transcranial Magnetic Stimulation Studies
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Vestibular and auditory disorders
- Neural and Behavioral Psychology Studies
- Motor Control and Adaptation
- Neuroscience and Neural Engineering
- Sleep and Wakefulness Research
- Muscle activation and electromyography studies
- Stroke Rehabilitation and Recovery
- Advanced Memory and Neural Computing
- Mind wandering and attention
- Neurological disorders and treatments
- Neurobiology of Language and Bilingualism
- Sleep and related disorders
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Circadian rhythm and melatonin
- Sleep and Work-Related Fatigue
- Hemispheric Asymmetry in Neuroscience
- Mental Health Research Topics
- COVID-19 and Mental Health
- Dementia and Cognitive Impairment Research
- Alzheimer's disease research and treatments
- Spatial Neglect and Hemispheric Dysfunction
Libera Università Maria SS. Assunta
2023-2025
Fondazione Santa Lucia
2016-2023
Istituti di Ricovero e Cura a Carattere Scientifico
2006-2022
Saint Camillus International University of Health and Medical Sciences
2020-2022
Centro San Giovanni di Dio Fatebenefratelli
2012-2021
Center for Neuroscience and Cognitive Systems
2011
Sapienza University of Rome
2003-2008
Gait and balance impairment is associated with poorer functional recovery after stroke. The cerebellum known to be strongly implicated in the reorganization of motor networks patients stroke, especially for gait functions.To determine whether cerebellar intermittent θ-burst stimulation (CRB-iTBS) can improve functions hemiparesis due stroke.This randomized, double-blind, sham-controlled phase IIa trial investigated efficacy safety a 3-week treatment CRB-iTBS coupled physiotherapy promoting...
Abstract Repetitive transcranial magnetic stimulation (rTMS) is emerging as a non-invasive therapeutic strategy in the battle against Alzheimer’s disease. disease patients primarily show alterations of default mode network for which precuneus key node. Here, we hypothesized that targeting with TMS represents promising to slow down cognitive and functional decline patients. We performed randomized, double-blind, sham-controlled, phase 2, 24-week trial determine safety efficacy...
Humans have an individual profile of the electroencephalographic power spectra at 8 to 16 Hz frequency during non-rapid eye movement sleep that is stable over time and resistant experimental perturbations. We tested hypothesis this "fingerprint" genetically determined, by recording 40 monozygotic dizygotic twins baseline recovery after prolonged wakefulness. show a largely greater similarity within than pairs, resulting in heritability estimate 96%, not influenced need intensity. If...
Abstract Voluntary movement control and execution are regulated by the influence of cerebellar output over different interconnected cortical areas, through dentato-thalamo connections. In present study we applied transcranial magnetic stimulation (TMS) electroencephalography (EEG) to directly assess effects theta-burst (TBS) controlateral primary motor cortex (M1) posterior parietal (PPC) in a group healthy volunteers. We found TBS-dependent bidirectional modulation TMS-evoked activity;...
Abstract Interhemispheric interactions in stroke patients are frequently characterized by abnormalities, terms of balance and inhibition. Previous results showed an impressive variability, mostly given to the instability motor‐evoked potentials when evoked from affected hemisphere. We aim find reliable interhemispheric measures with a not‐evocable potential hemisphere, combining transcranial magnetic stimulation (TMS) electroencephalography. Ninteen (seven females; 61.26 ± 9.8 years) were...
In Alzheimer disease (AD) animal models, synaptic dysfunction has recently been linked to a disorder of high-frequency neuronal activity. patients, clear relation between AD and oscillatory activity remains elusive. Here, we attempt shed light on this by using novel approach combining transcranial magnetic stimulation electroencephalography (TMS-EEG) probe in specific hubs the frontoparietal network sample 60 mild-to-moderate patients.Sixty patients 21 age-matched healthy volunteers (HVs)...
Objective Neuronal excitation/inhibition (E/I) imbalance is a potential cause of neuronal network malfunctioning in Alzheimer's disease (AD), contributing to cognitive dysfunction. Here, we used novel approach combining transcranial magnetic stimulation (TMS) and electroencephalography (EEG) probe cortical excitability different brain areas known be directly involved AD pathology. Methods We performed TMS‐EEG recordings targeting the left dorsolateral prefrontal cortex (l‐DLPFC), posterior...
Objective To determine the ability of transcranial magnetic stimulation (TMS) in detecting synaptic impairment patients with Alzheimer’s disease (AD) and predicting cognitive decline since early phases disease. Methods We used TMS-based parameters to evaluate long-term potentiation (LTP)-like cortical plasticity cholinergic activity as measured by short afferent inhibition (SAI) 60 newly diagnosed AD 30 healthy age-matched subjects (HS). Receiver operating characteristic (ROC) curves were...
The cerebellum is strongly implicated in learning new motor skills. Theta burst stimulation (TBS), a form of repetitive transcranial magnetic stimulation, can be used to influence cerebellar activity. Our aim was explore the potential TBS modulating visuo-motor adaptation, learning, young healthy subjects. Cerebellar applied immediately before phase adaptation task (VAT), two different experiments. Firstly, we evaluated behavioral effects continuous (cTBS), intermittent (iTBS) or sham on...
To evaluate the performance of a Random Forest (RF) classifier on Transcranial Magnetic Stimulation (TMS) measures in patients with Mild Cognitive Impairment (MCI).We applied RF TMS obtained from multicenter cohort MCI, including MCI-Alzheimer's Disease (MCI-AD), MCI-frontotemporal dementia (MCI-FTD), MCI-dementia Lewy bodies (MCI-DLB), and healthy controls (HC). All underwent assessment at recruitment (index test), application reference clinical criteria, to predict different...
Abstract The combination of TMS and EEG has the potential to capture relevant features Alzheimer’s disease (AD) pathophysiology. We used a machine learning framework explore time-domain characterizing AD patients compared age-matched healthy controls (HC). More than 150 including some related local distributed evoked activity were extracted from TMS-EEG data fed into Random Forest (RF) classifier using leave-one-subject out validation approach. best classification accuracy, sensitivity,...
OPINION article Front. Cell. Neurosci., 27 February 2017Sec. Cellular Neurophysiology Volume 11 - 2017 | https://doi.org/10.3389/fncel.2017.00038