Roberta Lizio
Sapienza University of Rome
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Publication
Featured researches published by Roberta Lizio.
The Journal of Physiology | 2008
Claudio Babiloni; Claudio Del Percio; Marco Iacoboni; Francesco Infarinato; Roberta Lizio; Nicola Marzano; Gianluca Crespi; Federica Dassù; Mirella Pirritano; Michele Gallamini; Fabrizio Eusebi
It is not known whether frontal cerebral rhythms of the two hemispheres are implicated in fine motor control and balance. To address this issue, electroencephalographic (EEG) and stabilometric recordings were simultaneously performed in 12 right‐handed expert golfers. The subjects were asked to stand upright on a stabilometric force platform placed at a golf green simulator while playing about 100 golf putts. Balance during the putts was indexed by body sway area. Cortical activity was indexed by the power reduction in spatially enhanced alpha (8–12 Hz) and beta (13–30 Hz) rhythms during movement, referred to as the pre‐movement period. It was found that the body sway area displayed similar values in the successful and unsuccessful putts. In contrast, the high‐frequency alpha power (about 10–12 Hz) was smaller in amplitude in the successful than in the unsuccessful putts over the frontal midline and the arm and hand region of the right primary sensorimotor area; the stronger the reduction of the alpha power, the smaller the error of the unsuccessful putts (i.e. distance from the hole). These results indicate that high‐frequency alpha rhythms over associative, premotor and non‐dominant primary sensorimotor areas subserve motor control and are predictive of the golfers performance.
NeuroImage | 2009
Claudio Babiloni; Giovanni B. Frisoni; Michela Pievani; Fabrizio Vecchio; Roberta Lizio; Maura Buttiglione; Cristina Geroldi; Claudia Fracassi; Fabrizio Eusebi; Raffaele Ferri; Paolo Maria Rossini
Atrophy of hippocampus and alteration of resting eyes-closed electroencephalographic (EEG) rhythms represent important features of mild cognitive impairment (MCI) and Alzheimers disease (AD). Here we evaluated linear and non-linear aspects of the relationship between these features in the continuum along MCI and AD conditions, as a reflection of neurodegenerative processes. Eyes-closed resting EEG data were recorded in 60 healthy elderly (Nold), 88 MCI, and 35 Alzheimers disease (AD) patients. Hippocampal volume was measured in magnetic resonance imaging of the MCI and AD subjects. Based on the normalized hippocampal volume, selected MCI subjects could be divided into two demographically paired sub-groups: those with larger hippocampal volume (MCI +h; N=40; mini mental state evaluation - MMSE - score=27.5+/-0.26 SE) and those with smaller hippocampal volume (MCI -h; N=40; h; MMSE=26.5+/-0.34 SE); the normalized hippocampal volume was statistically greater in the MCI +h than in the MCI -h and AD subjects (p<0.0001). EEG rhythms of interest were delta (2-4 Hz), theta (4-8 Hz), alpha 1 (8-10.5 Hz), alpha 2 (10.5-13 Hz), beta 1 (13-20 Hz), and beta 2 (20-30 Hz). Cortical EEG generators were estimated by LORETA software. Results showed that the power of occipital, parietal, and temporal alpha 1 sources was maximum in MCI +h, intermediate in MCI -h, and low in AD patients. Furthermore, the power of these sources was linearly and non-linearly correlated with the normalized hippocampal volume. These 3 EEG sources were given as input for evaluating correlations (linear, exponential, logarithmic and power) with hippocampal volume. When subjects were considered as a unique group, there was a significant linear correlation of hippocampal volume with the magnitude of alpha 1 sources in the parietal, occipital and temporal areas. In general, the EEG sources showing significant linear correlation with hippocampal volume also supported a non-linear correlation with hippocampal volume strongly for the logarithmic one. The present results suggest that progressive atrophy of hippocampus correlates with decreased cortical alpha power, as estimated by using LORETA source modeling, in the continuum along MCI and AD conditions.
Human Brain Mapping | 2013
Claudio Babiloni; Filippo Carducci; Roberta Lizio; Fabrizio Vecchio; Annalisa Baglieri; Silvia Bernardini; Enrica Cavedo; Alessandro Bozzao; Carla Buttinelli; Fabrizio Esposito; Franco Giubilei; Antonio Guizzaro; Silvia Marino; Patrizia Montella; Carlo Cosimo Quattrocchi; Alberto Redolfi; Andrea Soricelli; Gioacchino Tedeschi; Raffaele Ferri; Giancarlo Rossi-Fedele; Francesca Ursini; Federica Scrascia; Fabrizio Vernieri; Torleif Jan Pedersen; Hans Goran Hardemark; Paolo Maria Rossini; Giovanni B. Frisoni
Cortical gray matter volume and resting state cortical electroencephalographic rhythms are typically abnormal in subjects with amnesic mild cognitive impairment (MCI) and Alzheimers disease (AD). Here we tested the hypothesis that in amnesic MCI and AD subjects, abnormalities of EEG rhythms are a functional reflection of cortical atrophy across the disease. Eyes‐closed resting state EEG data were recorded in 57 healthy elderly (Nold), 102 amnesic MCI, and 108 AD patients. Cortical gray matter volume was indexed by magnetic resonance imaging recorded in the MCI and AD subjects according to Alzheimers disease neuroimaging initiative project (http://www.adni‐info.org/). EEG rhythms of interest were delta (2–4 Hz), theta (4–8 Hz), alpha1 (8–10.5 Hz), alpha2 (10.5–13 Hz), beta1 (13–20 Hz), beta2 (20–30 Hz), and gamma (30–40 Hz). These rhythms were indexed by LORETA. Compared with the Nold, the MCI showed a decrease in amplitude of alpha 1 sources. With respect to the Nold and MCI, the AD showed an amplitude increase of delta sources, along with a strong amplitude reduction of alpha 1 sources. In the MCI and AD subjects as a whole group, the lower the cortical gray matter volume, the higher the delta sources, the lower the alpha 1 sources. The better the score to cognitive tests the higher the gray matter volume, the lower the pathological delta sources, and the higher the alpha sources. These results suggest that in amnesic MCI and AD subjects, abnormalities of resting state cortical EEG rhythms are not epiphenomena but are strictly related to neurodegeneration (atrophy of cortical gray matter) and cognition. Hum Brain Mapp, 2013.
Human Brain Mapping | 2009
Claudio Del Percio; Claudio Babiloni; Maurizio Bertollo; Nicola Marzano; Marco Iacoboni; Francesco Infarinato; Roberta Lizio; Massimiliano Stocchi; Claudio Robazza; Giuseppe Cibelli; S. Comani; Fabrizio Eusebi
This study tested the two following hypotheses: (i) compared with non‐athletes, elite athletes are characterized by a reduced cortical activation during the preparation of precise visuo‐motor performance; (ii) in elite athletes, an optimal visuo‐motor performance is related to a low cortical activation. To this aim, electroencephalographic (EEG; 56 channels; Be Plus EB‐Neuro) data were recorded in 18 right‐handed elite air pistol shooters and 10 right‐handed non‐athletes. All subjects performed 120 shots. The EEG data were spatially enhanced by surface Laplacian estimation. With reference to a baseline period, power decrease/increase of alpha rhythms during the preshot period indexed the cortical activation/deactivation (event‐related desynchronization/synchronization, ERD/ERS). Regarding the hypothesis (i), low‐ (about 8–10 Hz) and high‐frequency (about 10–12 Hz) alpha ERD was lower in amplitude in the elite athletes than in the non‐athletes over the whole scalp. Regarding the hypothesis (ii), the elite athletes showed high‐frequency alpha ERS (about 10–12 Hz) larger in amplitude for high score shots (50%) than for low score shots; this was true in right parietal and left central areas. A control analysis confirmed these results with another indicator of cortical activation (beta ERD, about 20 Hz). The control analysis also showed that the amplitude reduction of alpha ERD for the high compared with low score shots was not observed in the non‐athletes. The present findings globally suggest that in elite athletes (experts), visuo‐motor performance is related to a global decrease of cortical activity, as a possible index of spatially selective cortical processes (“neural efficiency”). Hum Brain Mapp, 2009.
International Journal of Psychophysiology | 2016
Claudio Babiloni; Roberta Lizio; Nicola Marzano; Paolo Capotosto; Andrea Soricelli; Antonio Ivano Triggiani; Susanna Cordone; Loreto Gesualdo; Claudio Del Percio
Alzheimers disease (AD) is the most common type of neurodegenerative disorder, typically causing dementia along aging. AD is mainly characterized by a pathological extracellular accumulation of amyloid-beta peptides that affects excitatory and inhibitory synaptic transmission, inducing aberrant patterns in neuronal circuits. Growing evidence shows that AD targets cortical neuronal networks related to cognitive functions including episodic memory and visuospatial attention. This is partially reflected by the abnormal mechanisms of cortical neural synchronization and coupling that generate resting state electroencephalographic (EEG) rhythms. The cortical neural synchronization is typically indexed by EEG power density. The EEG coupling between electrode pairs probes functional (inter-relatedness of EEG signals) and effective (casual effect from one over the other electrode) connectivity. The former is typically indexed by synchronization likelihood (linear and nonlinear) or spectral coherence (linear), the latter by granger causality or information theory indexes. Here we reviewed literature concerning EEG studies in condition of resting state in AD and mild cognitive impairment (MCI) subjects as a window on abnormalities of the cortical neural synchronization and functional and effective connectivity. Results showed abnormalities of the EEG power density at specific frequency bands (<12Hz) in the MCI and AD populations, associated with an altered functional and effective EEG connectivity among long range cortical networks (i.e. fronto-parietal and fronto-temporal). These results suggest that resting state EEG rhythms reflect the abnormal cortical neural synchronization and coupling in the brain of prodromal and overt AD subjects, possibly reflecting dysfunctional neuroplasticity of the neural transmission in long range cortical networks.
Supplements to Clinical neurophysiology | 2013
Fabrizio Vecchio; Claudio Babiloni; Roberta Lizio; Katarzyna J. Blinowska; Giulio Verrienti; Giovanni B. Frisoni; Paolo Maria Rossini
The human brain contains an intricate network of about 100 billion neurons. Aging of the brain is characterized by a combination of synaptic pruning, loss of cortico-cortical connections, and neuronal apoptosis that provoke an age-dependent decline of cognitive functions. Neural/synaptic redundancy and plastic remodeling of brain networking, also secondary to mental and physical training, promote maintenance of brain activity and cognitive status in healthy elderly subjects for everyday life. However, age is the main risk factor for neurodegenerative disorders such as Alzheimers disease (AD) that impact on cognition. Growing evidence supports the idea that AD targets specific and functionally connected neuronal networks and that oscillatory electromagnetic brain activity might be a hallmark of the disease. In this line, digital electroencephalography (EEG) allows noninvasive analysis of cortical neuronal synchronization, as revealed by resting state brain rhythms. This review provides an overview of the studies on resting state eyes-closed EEG rhythms recorded in amnesic mild cognitive impairment (MCI) and AD subjects. Several studies support the idea that spectral markers of these EEG rhythms, such as power density, spectral coherence, and other quantitative features, differ among normal elderly, MCI, and AD subjects, at least at group level. Regarding the classification of these subjects at individual level, the most previous studies showed a moderate accuracy (70-80%) in the classification of EEG markers relative to normal and AD subjects. In conclusion, resting state EEG makers are promising for large-scale, low-cost, fully noninvasive screening of elderly subjects at risk of AD.
Journal of Alzheimer's Disease | 2011
Claudio Babiloni; Fabrizio Vecchio; Roberta Lizio; Raffaele Ferri; Guido Rodriguez; Nicola Marzano; Giovanni B. Frisoni; Paolo Maria Rossini
Physiological brain aging is characterized by a combination of synaptic pruning, loss of cortico-cortical connections and neuronal apoptosis that provoke age-dependent decline of cognitive functions. Neural/synaptic redundancy and plastic remodeling of brain networking, also secondary to mental and physical training, promotes maintenance of brain activity in healthy elderly for everyday life and fully productive affective and intellectual capabilities. Unfortunately, in pathological situations, aging triggers neurodegenerative processes that impact on cognition, like Alzheimers disease (AD). Oscillatory electromagnetic brain activity is a hallmark of neuronal network function in various brain regions. Modern neurophysiological techniques including digital electroencephalography (EEG) allow non-invasive analysis of cortico-cortical connectivity and neuronal synchronization of firing, and coherence of brain rhythmic oscillations at various frequencies. The present review of field EEG literature suggests that discrimination between physiological and pathological brain aging clearly emerges at the group level, with some promising result on the informative value of EEG markers at the individual level. Integrated approaches utilizing neurophysiological techniques together with biological markers and structural and functional imaging are promising for large-scale, low-cost, widely available on the territory and non-invasive screening of at-risk populations.
International Journal of Alzheimer's Disease | 2011
Roberta Lizio; Fabrizio Vecchio; Giovanni B. Frisoni; Raffaele Ferri; Guido Rodriguez; Claudio Babiloni
Physiological brain aging is characterized by synapses loss and neurodegeneration that slowly lead to an age-related decline of cognition. Neural/synaptic redundancy and plastic remodelling of brain networking, also due to mental and physical training, promotes maintenance of brain activity in healthy elderly subjects for everyday life and good social behaviour and intellectual capabilities. However, age is the major risk factor for most common neurodegenerative disorders that impact on cognition, like Alzheimers disease (AD). Brain electromagnetic activity is a feature of neuronal network function in various brain regions. Modern neurophysiological techniques, such as electroencephalography (EEG) and event-related potentials (ERPs), are useful tools in the investigation of brain cognitive function in normal and pathological aging with an excellent time resolution. These techniques can index normal and abnormal brain aging analysis of corticocortical connectivity and neuronal synchronization of rhythmic oscillations at various frequencies. The present review suggests that discrimination between physiological and pathological brain aging clearly emerges at the group level, with suggested applications also at the level of single individual. The possibility of combining the use of EEG together with biological/neuropsychological markers and structural/functional imaging is promising for a low-cost, non-invasive, and widely available assessment of groups of individuals at-risk.
Neurobiology of Aging | 2015
Claudio Babiloni; Claudio Del Percio; Marina Boccardi; Roberta Lizio; Susanna Lopez; Filippo Carducci; Nicola Marzano; Andrea Soricelli; Raffaele Ferri; Antonio Ivano Triggiani; Annapaola Prestia; Serenella Salinari; Paul E. Rasser; Erol Başar; Francesco Famà; Flavio Nobili; Görsev Yener; Derya Durusu Emek-Savaş; Loreto Gesualdo; Ciro Mundi; Paul M. Thompson; Paolo Maria Rossini; Giovanni B. Frisoni
Occipital sources of resting-state electroencephalographic (EEG) alpha rhythms are abnormal, at the group level, in patients with amnesic mild cognitive impairment (MCI) and Alzheimers disease (AD). Here, we evaluated the hypothesis that amplitude of these occipital sources is related to neurodegeneration in occipital lobe as measured by magnetic resonance imaging. Resting-state eyes-closed EEG rhythms were recorded in 45 healthy elderly (Nold), 100 MCI, and 90 AD subjects. Neurodegeneration of occipital lobe was indexed by weighted averages of gray matter density, estimated from structural MRIs. EEG rhythms of interest were alpha 1 (8-10.5 Hz) and alpha 2 (10.5-13 Hz). EEG cortical sources were estimated by low-resolution brain electromagnetic tomography. Results showed a positive correlation between occipital gray matter density and amplitude of occipital alpha 1 sources in Nold, MCI, and AD subjects as a whole group (r = 0.3, p = 0.000004, N = 235). Furthermore, there was a positive correlation between the amplitude of occipital alpha 1 sources and cognitive status as revealed by Mini Mental State Examination score across all subjects (r = 0.38, p = 0.000001, N = 235). Finally, amplitude of occipital alpha 1 sources allowed a moderate classification of individual Nold and AD subjects (sensitivity: 87.8%; specificity: 66.7%; area under the receiver operating characteristic curve: 0.81). These results suggest that the amplitude of occipital sources of resting-state alpha rhythms is related to AD neurodegeneration in occipital lobe along pathologic aging.
Journal of Alzheimer's Disease | 2011
Claudio Babiloni; Roberta Lizio; Filippo Carducci; Fabrizio Vecchio; Alberto Redolfi; Silvia Marino; Gioacchino Tedeschi; Patrizia Montella; Antonio Guizzaro; Fabrizio Esposito; Alessandro Bozzao; Franco Giubilei; Francesco Orzi; Carlo Cosimo Quattrocchi; Andrea Soricelli; Elena Salvatore; Annalisa Baglieri; Placido Bramanti; Enrica Cavedo; Raffaele Ferri; Filomena I.I. Cosentino; Michelangelo Ferrara; Ciro Mundi; Gianpaolo Grilli; Silvia Pugliese; Gianluca Gerardi; Laura Parisi; Fabrizio Vernieri; Antonio Ivano Triggiani; Jan T. Pedersen
Resting state electroencephalographic (EEG) rhythms do not deteriorate with the increase of white matter vascular lesion in amnesic mild cognitive impairment (MCI) subjects [1], although white matter is impaired along Alzheimers disease (AD). Here we tested whether this is true even in AD subjects. Closed-eye resting state EEG data were recorded in 40 healthy elderly (Nold), 96 amnesic MCI, and 83 AD subjects. White matter vascular lesions were indexed by magnetic resonance imaging recorded in the MCI and AD subjects (about 42% of cases following ADNI standards). The MCI subjects were divided into two sub-groups based on the median of the white matter lesion, namely MCI+ (people with highest vascular load; n = 48) and MCI- (people with lowest vascular load; n = 48). The same was true for the AD subjects (AD+, n = 42; AD-, n = 41). EEG rhythms of interest were delta (2-4 Hz), theta (4-8 Hz), alpha1 (8-10.5 Hz), alpha2 (10.5-13 Hz), beta1 (13-20 Hz), beta2 (20-30 Hz), and gamma (30-40 Hz). LORETA software estimated cortical EEG sources. When compared to Nold group, MCI and AD groups showed well known abnormalities of delta and alpha sources. Furthermore, amplitude of occipital, temporal, and limbic alpha 1 sources were higher in MCI+ than MCI- group. As a novelty, amplitude of occipital delta sources was lower in AD+ than AD- group. Furthermore, central, parietal, occipital, temporal, and limbic alpha sources were higher in amplitude in AD+ than AD- group. Amplitude of these sources was correlated to global cognitive status (i.e., Mini Mental State Evaluation score). These results suggest that in amnesic MCI and AD subjects, resting state posterior delta and alpha EEG rhythms do not deteriorate with the increase of white-matter vascular lesion. These rhythms might be more sensitive to AD neurodegenerative processes and cognitive status rather than to concomitant lesions to white matter.