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Featured researches published by Alessia Pizzimenti.


Frontiers in Human Neuroscience | 2013

Attention and P300-based BCI performance in people with amyotrophic lateral sclerosis

Angela Riccio; Luca Simione; Francesca Schettini; Alessia Pizzimenti; M. Inghilleri; Marta Olivetti Belardinelli; Donatella Mattia; Febo Cincotti

The purpose of this study was to investigate the support of attentional and memory processes in controlling a P300-based brain-computer interface (BCI) in people with amyotrophic lateral sclerosis (ALS). Eight people with ALS performed two behavioral tasks: (i) a rapid serial visual presentation (RSVP) task, screening the temporal filtering capacity and the speed of the update of the attentive filter, and (ii) a change detection task, screening the memory capacity and the spatial filtering capacity. The participants were also asked to perform a P300-based BCI spelling task. By using correlation and regression analyses, we found that only the temporal filtering capacity in the RSVP task was a predictor of both the P300-based BCI accuracy and of the amplitude of the P300 elicited performing the BCI task. We concluded that the ability to keep the attentional filter active during the selection of a target influences performance in BCI control.


Archives of Physical Medicine and Rehabilitation | 2015

Assistive Device With Conventional, Alternative, and Brain-Computer Interface Inputs to Enhance Interaction With the Environment for People With Amyotrophic Lateral Sclerosis: A Feasibility and Usability Study

Francesca Schettini; Angela Riccio; Luca Simione; Giulia Liberati; Mario Caruso; Vittorio Frasca; Barbara Calabrese; Massimo Mecella; Alessia Pizzimenti; M. Inghilleri; Donatella Mattia; Febo Cincotti

OBJECTIVE To evaluate the feasibility and usability of an assistive technology (AT) prototype designed to be operated with conventional/alternative input channels and a P300-based brain-computer interface (BCI) in order to provide users who have different degrees of muscular impairment resulting from amyotrophic lateral sclerosis (ALS) with communication and environmental control applications. DESIGN Proof-of-principle study with a convenience sample. SETTING An apartment-like space designed to be fully accessible by people with motor disabilities for occupational therapy, placed in a neurologic rehabilitation hospital. PARTICIPANTS End-users with ALS (N=8; 5 men, 3 women; mean age ± SD, 60 ± 12 y) recruited by a clinical team from an ALS center. INTERVENTIONS Three experimental conditions based on (1) a widely validated P300-based BCI alone; (2) the AT prototype operated by a conventional/alternative input device tailored to the specific end-users residual motor abilities; and (3) the AT prototype accessed by a P300-based BCI. These 3 conditions were presented to all participants in 3 different sessions. MAIN OUTCOME MEASURES System usability was evaluated in terms of effectiveness (accuracy), efficiency (written symbol rate, time for correct selection, workload), and end-user satisfaction (overall satisfaction) domains. A comparison of the data collected in the 3 conditions was performed. RESULTS Effectiveness and end-user satisfaction did not significantly differ among the 3 experimental conditions. Condition III was less efficient than condition II as expressed by the longer time for correct selection. CONCLUSIONS A BCI can be used as an input channel to access an AT by persons with ALS, with no significant reduction of usability.


Applied Ergonomics | 2015

Developing brain-computer interfaces from a user-centered perspective: Assessing the needs of persons with amyotrophic lateral sclerosis, caregivers, and professionals

Giulia Liberati; Alessia Pizzimenti; Luca Simione; Angela Riccio; Francesca Schettini; M. Inghilleri; Donatella Mattia; Febo Cincotti

By focus group methodology, we examined the opinions and requirements of persons with ALS, their caregivers, and health care assistants with regard to developing a brain-computer interface (BCI) system that fulfills the users needs. Four overarching topics emerged from this analysis: 1) lack of information on BCI and its everyday applications; 2) importance of a customizable system that supports individuals throughout the various stages of the disease; 3) relationship between affectivity and technology use; and 4) importance of individuals retaining a sense of agency. These findings should be considered when developing new assistive technology. Moreover, the BCI community should acknowledge the need to bridge experimental results and its everyday application.


Frontiers in Psychology | 2015

Communication of diagnosis in amyotrophic lateral sclerosis: stratification of patients for the estimation of the individual needs

Alessia Pizzimenti; Maria Cristina Gori; Emanuela Onesti; Bev John; M. Inghilleri

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by a progressive loss of the corticospinal tract, brainstem, and spinal neurons, leading to progressive muscle atrophy and weakness, and ultimately to death due to respiratory failure. The right to be informed is enshrined in the European Oviedo Convention (Council of Europe, 1997). The Awaji diagnostic criteria for ALS are generally used, identifying definite, probable, possible and suspected ALS (de Carvalho et al., 2008). Moreover, the pathway of a correct diagnostic assessment of ALS needs a complex algorithm of knowledge. There are no biochemical markers that allow a definitive diagnosis, and the clinical knowledge of the general practitioner in the early stages is critical in order to direct the patient to the neurologist.


Frontiers in Human Neuroscience | 2018

On the Relationship Between Attention Processing and P300-Based Brain Computer Interface Control in Amyotrophic Lateral Sclerosis

Angela Riccio; Francesca Schettini; Luca Simione; Alessia Pizzimenti; M. Inghilleri; Marta Olivetti-Belardinelli; Donatella Mattia; Febo Cincotti

Our objective was to investigate the capacity to control a P3-based brain-computer interface (BCI) device for communication and its related (temporal) attention processing in a sample of amyotrophic lateral sclerosis (ALS) patients with respect to healthy subjects. The ultimate goal was to corroborate the role of cognitive mechanisms in event-related potential (ERP)-based BCI control in ALS patients. Furthermore, the possible differences in such attentional mechanisms between the two groups were investigated in order to unveil possible alterations associated with the ALS condition. Thirteen ALS patients and 13 healthy volunteers matched for age and years of education underwent a P3-speller BCI task and a rapid serial visual presentation (RSVP) task. The RSVP task was performed by participants in order to screen their temporal pattern of attentional resource allocation, namely: (i) the temporal attentional filtering capacity (scored as T1%); and (ii) the capability to adequately update the attentive filter in the temporal dynamics of the attentional selection (scored as T2%). For the P3-speller BCI task, the online accuracy and information transfer rate (ITR) were obtained. Centroid Latency and Mean Amplitude of N200 and P300 were also obtained. No significant differences emerged between ALS patients and Controls with regards to online accuracy (p = 0.13). Differently, the performance in controlling the P3-speller expressed as ITR values (calculated offline) were compromised in ALS patients (p < 0.05), with a delay in the latency of P3 when processing BCI stimuli as compared with Control group (p < 0.01). Furthermore, the temporal aspect of attentional filtering which was related to BCI control (r = 0.51; p < 0.05) and to the P3 wave amplitude (r = 0.63; p < 0.05) was also altered in ALS patients (p = 0.01). These findings ground the knowledge required to develop sensible classes of BCI specifically designed by taking into account the influence of the cognitive characteristics of the possible candidates in need of a BCI system for communication.


Clinical Neurophysiology | 2014

P371: Selective attention and performance in controlling a P300-based brain computer interface in people with amyotrophic lateral sclerosis

Angela Riccio; Luca Simione; Francesca Schettini; Alessia Pizzimenti; M. Inghilleri; M. Olivetti Belardinelli; Donatella Mattia; Febo Cincotti

Conclusions: The results of this study will feed in the development of the CogWatch system. Use of ecological sounds provides an optimistic outlook for neurorehabilitation of ADL in stroke patients. Acknowledgements:This work was funded by the EU STREP Project CogWatch (FP7-ICT288912). References: [1] Kohler, E. et al., Hearing sounds, understanding actions: action representation in mirror neurons. Science, 297, pp. 846-848, 2002. [2] Ticini, L. et al., When sounds become actions: higher-order representation of newly learned action sounds in the human motor system. Journal of Cognitive Neuroscience, 24(2), pp. 464-474, 2013. [3] Schwartz, M. et al., Analysis of a disorder of everyday action. Cognitive Neuropsychology, 12, pp. 863-892, 1995.


European Journal of Pain | 2005

Randomized double-blind comparison of serotonergic (Citalopram) versus noradrenergic (Reboxetine) reuptake inhibitors in outpatients with somatoform, DSM-IV-TR pain disorder.

Massimiliano Aragona; Lara Bancheri; Donatella Perinelli; Lorenzo Tarsitani; Alessia Pizzimenti; Antonella Conte; M. Inghilleri


Functional Neurology | 2013

Depression, pain and quality of life in patients with amyotrophic lateral sclerosis: a cross-sectional study

Alessia Pizzimenti; Massimiliano Aragona; Emanuela Onesti; M. Inghilleri


Psychophysiology | 2013

On the use of brain-computer interfaces outside scientific laboratories: toward an application in domotic environments.

Angela Riccio; Francesca Schettini; Luca Simione; Giulia Liberati; Mario Caruso; Barbara Calabrese; Nicola Ielpo; Arrigo Palumbo; Vittorio Frasca; Massimo Mecella; Francesco Amato; Alessia Pizzimenti; Mario Inghilleri; Donatella Mattia; Febo Cincotti


Assistive Technology Research Series | 2013

From touch to brain control: augmenting communication in persons with ALS.

Francesca Schettini; Angela Riccio; Luca Simione; Giulia Liberati; Mario Caruso; Barbara Calabrese; Nicola Ielpo; Arrigo Palumbo; Vittorio Frasca; Massimo Mecella; Francesco Amato; Alessia Pizzimenti; Mario Inghilleri; Donatella Mattia; Febo Cincotti

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Angela Riccio

Sapienza University of Rome

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Febo Cincotti

Sapienza University of Rome

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Luca Simione

Sapienza University of Rome

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M. Inghilleri

Sapienza University of Rome

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Donatella Mattia

Sapienza University of Rome

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Mario Caruso

Sapienza University of Rome

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Massimo Mecella

Sapienza University of Rome

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Vittorio Frasca

Sapienza University of Rome

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Giulia Liberati

Université catholique de Louvain

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