2021
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Marturano, F; Brigadoi, S; Doro, M; Dell'Acqua, R; Sparacino, G A neural network predicting the amplitude of the N2pc in individual EEG datasets Journal Article Journal of Neural Engineering, 18 , pp. 056044, 2021. Abstract | Links | BibTeX @article{Marturano2021,
title = {A neural network predicting the amplitude of the N2pc in individual EEG datasets},
author = {F Marturano and S Brigadoi and M Doro and R Dell'Acqua and G Sparacino},
url = {http://colab.psy.unipd.it/wp-content/uploads/2021/12/jne_nnet_21.pdf},
doi = {10.1088/1741-2552/ac2849},
year = {2021},
date = {2021-10-05},
journal = {Journal of Neural Engineering},
volume = {18},
pages = {056044},
abstract = {The N2pc is a small amplitude transient interhemispheric voltage asymmetry used in cognitive neuroscience to investigate subject’s allocation of selective visuo-spatial attention. N2pc is typically estimated by averaging the sweeps of the electroencephalographic (EEG) signal but, in absence of explicit normative indications, the number ofsweeps is often based on arbitrariness or personal experience. With the final aim of reducing duration and cost of experimental protocols, here we developed a new approach to reliably predict N2pc amplitude from a minimal EEG dataset. Approach. First, features predictive ofN2pc amplitude were identified in the time-frequency domain. Then, an artificial neural network (NN) was trained to predict N2pc mean amplitude at the individual level. By resorting to simulated data, accuracy of the NN was assessed by computing the mean squared error (MSE) and the amplitude discretization error (ADE) and compared to the standard time averaging (TA) technique. The NN was then tested against two real datasets consisting of 14 and 12 subjects, respectively. Main result. In simulated scenarios entailing different number ofsweeps (between 10 and 100), the MSE obtained with the proposed method resulted, on average, 1/5 of that obtained with the TA technique. Implementation on real EEG datasets showed that N2pc amplitude could be reliably predicted with as few as 40 EEG sweeps per cell of the experimental design. Significance. The developed approach allows to reduce duration and cost of experiments involving the N2pc, for instance in studies investigating attention deficits in pathological subjects.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The N2pc is a small amplitude transient interhemispheric voltage asymmetry used in cognitive neuroscience to investigate subject’s allocation of selective visuo-spatial attention. N2pc is typically estimated by averaging the sweeps of the electroencephalographic (EEG) signal but, in absence of explicit normative indications, the number ofsweeps is often based on arbitrariness or personal experience. With the final aim of reducing duration and cost of experimental protocols, here we developed a new approach to reliably predict N2pc amplitude from a minimal EEG dataset. Approach. First, features predictive ofN2pc amplitude were identified in the time-frequency domain. Then, an artificial neural network (NN) was trained to predict N2pc mean amplitude at the individual level. By resorting to simulated data, accuracy of the NN was assessed by computing the mean squared error (MSE) and the amplitude discretization error (ADE) and compared to the standard time averaging (TA) technique. The NN was then tested against two real datasets consisting of 14 and 12 subjects, respectively. Main result. In simulated scenarios entailing different number ofsweeps (between 10 and 100), the MSE obtained with the proposed method resulted, on average, 1/5 of that obtained with the TA technique. Implementation on real EEG datasets showed that N2pc amplitude could be reliably predicted with as few as 40 EEG sweeps per cell of the experimental design. Significance. The developed approach allows to reduce duration and cost of experiments involving the N2pc, for instance in studies investigating attention deficits in pathological subjects. |
Lomoriello, Arianna Schiano; Maffei, Antonio; Brigadoi, Sabrina; Sessa, Paola Altering sensorimotor simulation impacts early stages of facial expression processing depending on individual differences in alexithymic traits Journal Article Brain and Cognition, 148 , pp. 105678, 2021. BibTeX @article{lomoriello2021alteringb,
title = {Altering sensorimotor simulation impacts early stages of facial expression processing depending on individual differences in alexithymic traits},
author = { Arianna Schiano Lomoriello and Antonio Maffei and Sabrina Brigadoi and Paola Sessa},
year = {2021},
date = {2021-01-01},
journal = {Brain and Cognition},
volume = {148},
pages = {105678},
publisher = {Academic Press},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Lomoriello, Arianna Schiano; Maffei, Antonio; Brigadoi, Sabrina; Sessa, Paola Altering sensorimotor simulation impacts early stages of facial expression processing depending on individual differences in alexithymic traits Journal Article Brain and Cognition, 148 , pp. 105678, 2021. BibTeX @article{lomoriello2021altering,
title = {Altering sensorimotor simulation impacts early stages of facial expression processing depending on individual differences in alexithymic traits},
author = {Arianna Schiano Lomoriello and Antonio Maffei and Sabrina Brigadoi and Paola Sessa},
year = {2021},
date = {2021-01-01},
journal = {Brain and Cognition},
volume = {148},
pages = {105678},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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2020
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Collins‐Jones, L H; Arichi, T; Poppe, T; Billing, A; Xiao, J; Fabrizi, L; Brigadoi, S; Hebden, J C; Elwell, C E; Cooper, R J Construction and validation of a database of head models for functional imaging of the neonatal brain Journal Article Forthcoming Human Brain Mapping, Forthcoming. Links | BibTeX @article{Collins2020,
title = {Construction and validation of a database of head models for functional imaging of the neonatal brain},
author = {L H Collins‐Jones AND T Arichi AND T Poppe AND A Billing AND J Xiao AND L Fabrizi AND S Brigadoi AND J C Hebden AND C E Elwell AND R J Cooper},
editor = {Wiley},
doi = {10.1002/hbm.25242},
year = {2020},
date = {2020-10-01},
journal = {Human Brain Mapping},
keywords = {},
pubstate = {forthcoming},
tppubtype = {article}
}
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Zhao, H; Brigadoi, S; Chitnis, D; Vita, De E; Castellaro, M; Powell, S; Everdell, N L; Cooper, R J A wide field-of-view, modular, high-density diffuse optical tomography system for minimally constrained three-dimensional functional neuroimaging Journal Article Biomedical Optics Express, 11 (8), pp. 4110–4129, 2020. BibTeX @article{zhao2020wide,
title = {A wide field-of-view, modular, high-density diffuse optical tomography system for minimally constrained three-dimensional functional neuroimaging},
author = { H Zhao and S Brigadoi and D Chitnis and E De Vita and M Castellaro and S Powell and N L Everdell and R J Cooper},
year = {2020},
date = {2020-07-01},
journal = {Biomedical Optics Express},
volume = {11},
number = {8},
pages = {4110--4129},
publisher = {Optical Society of America},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Castellaro, M; Moretto, M; Baro, V; Brigadoi, S; Zanoletti, E; Anglani, M; Denaro, L; Dell'Acqua, R; Landi, A; Causin, F; D'Avella, D; Bertoldo, A Multi-shell diffusion MRI based tractography of the facial nerve in vestibular schwannoma Journal Article American Journal of Neuroradiology, 41 (8), pp. 1480-1486, 2020. Links | BibTeX @article{DTI,
title = {Multi-shell diffusion MRI based tractography of the facial nerve in vestibular schwannoma},
author = {M. Castellaro and M. Moretto and V. Baro and S. Brigadoi and E. Zanoletti and M. Anglani and L. Denaro and R. Dell'Acqua and A. Landi and F. Causin and D. D'Avella and A. Bertoldo},
url = {http://colab.psy.unipd.it/wp-content/uploads/2020/08/ajnr_schwan_20.pdf},
doi = {10.3174/ajnr.A6706},
year = {2020},
date = {2020-05-22},
journal = {American Journal of Neuroradiology},
volume = {41},
number = {8},
pages = {1480-1486},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Doro, M; Bellini, F; Brigadoi, S; Eimer, M; Dell'Acqua, R A bilateral N2pc (N2pcb) component is elicited by search targets displayed on the vertical midline Journal Article Psychophysiology, 57 (3), pp. e13512, 2020. Links | BibTeX @article{DoroN2pcb,
title = {A bilateral N2pc (N2pcb) component is elicited by search targets displayed on the vertical midline},
author = {M. Doro and F. Bellini and S. Brigadoi and M. Eimer and R. Dell'Acqua},
url = {http://colab.psy.unipd.it/wp-content/uploads/2020/02/pphys_n2pcb_20.pdf},
doi = {10.1111/psyp.13512},
year = {2020},
date = {2020-03-01},
journal = {Psychophysiology},
volume = {57},
number = {3},
pages = {e13512},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Marturano, F; Brigadoi, S; Doro, M; Dell'Acqua, R; Sparacino, G Computer data simulator to assess the accuracy of estimates of visual N2/N2pc event-related potential components Journal Article Journal of Neural Engineering, 17 (3), pp. 036024, 2020. Links | BibTeX @article{Marturano2020,
title = {Computer data simulator to assess the accuracy of estimates of visual N2/N2pc event-related potential components},
author = {F. Marturano and S. Brigadoi and M. Doro and R. Dell'Acqua and G. Sparacino},
url = {http://colab.psy.unipd.it/wp-content/uploads/2020/06/jne_n2pc_20.pdf},
doi = {10.1088/1741-2552/ab85d4},
year = {2020},
date = {2020-01-01},
journal = {Journal of Neural Engineering},
volume = {17},
number = {3},
pages = {036024},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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2019
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Duma, G M; Mento, G; Cutini, S; Sessa, P; Baillet, S; Brigadoi, S; Dell’Acqua, R Functional dissociation of anterior cingulate cortex and intraparietal sulcus in visual working memory Journal Article Cortex, 121 , pp. 277-291, 2019. Links | BibTeX @article{duma2019functional,
title = {Functional dissociation of anterior cingulate cortex and intraparietal sulcus in visual working memory},
author = {G M Duma and G Mento and S Cutini and P Sessa and S Baillet and S Brigadoi and R Dell’Acqua},
url = {http://colab.psy.unipd.it/wp-content/uploads/2020/06/cortex_spcn_19.pdf},
doi = {10.1016/j.cortex.2019.09.009},
year = {2019},
date = {2019-10-01},
journal = {Cortex},
volume = {121},
pages = {277-291},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Rosa, Di E; Brigadoi, S; Cutini, S; Tarantino, V; Dell’Acqua, R; Mapelli, D; Braver, T S; Vallesi, A Reward motivation and neurostimulation interact to improve working memory performance in healthy older adults: A simultaneous tDCS-fNIRS study Journal Article NeuroImage, 202 , pp. 116062, 2019. Links | BibTeX @article{di2019reward,
title = {Reward motivation and neurostimulation interact to improve working memory performance in healthy older adults: A simultaneous tDCS-fNIRS study},
author = {E Di Rosa and S Brigadoi and S Cutini and V Tarantino and R Dell’Acqua and D Mapelli and T S Braver and A Vallesi},
url = {http://colab.psy.unipd.it/wp-content/uploads/2020/06/nimage_tdcs_19.pdf},
year = {2019},
date = {2019-08-01},
journal = {NeuroImage},
volume = {202},
pages = {116062},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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