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Article ; Online: Origin, transmission, and evolution of plague over 400 y in Europe.

Barbieri, Rémi

Proceedings of the National Academy of Sciences of the United States of America

2021 Volume 118, Issue 39

MeSH term(s)	Europe ; Humans ; Plague/epidemiology ; Yersinia pestis/genetics
Language	English
Publishing date	2021-09-22
Publishing country	United States
Document type	Journal Article ; Comment
ZDB-ID	209104-5
ISSN	1091-6490 ; 0027-8424
ISSN (online)	1091-6490
ISSN	0027-8424
DOI	10.1073/pnas.2114241118
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Article ; Online: Identifying prognostic factors for survival in intensive care unit patients with SIRS or sepsis by machine learning analysis on electronic health records.

Mollura, Maximiliano / Chicco, Davide / Paglialonga, Alessia / Barbieri, Riccardo

PLOS digital health

2024 Volume 3, Issue 3, Page(s) e0000459

Abstract: Background: Systemic inflammatory response syndrome (SIRS) and sepsis are the most common causes of in-hospital death. However, the characteristics associated with the improvement in the patient conditions during the ICU stay were not fully elucidated ... ...

Abstract	Background: Systemic inflammatory response syndrome (SIRS) and sepsis are the most common causes of in-hospital death. However, the characteristics associated with the improvement in the patient conditions during the ICU stay were not fully elucidated for each population as well as the possible differences between the two. Goal: The aim of this study is to highlight the differences between the prognostic clinical features for the survival of patients diagnosed with SIRS and those of patients diagnosed with sepsis by using a multi-variable predictive modeling approach with a reduced set of easily available measurements collected at the admission to the intensive care unit (ICU). Methods: Data were collected from 1,257 patients (816 non-sepsis SIRS and 441 sepsis) admitted to the ICU. We compared the performance of five machine learning models in predicting patient survival. Matthews correlation coefficient (MCC) was used to evaluate model performances and feature importance, and by applying Monte Carlo stratified Cross-Validation. Results: Extreme Gradient Boosting (MCC = 0.489) and Logistic Regression (MCC = 0.533) achieved the highest results for SIRS and sepsis cohorts, respectively. In order of importance, APACHE II, mean platelet volume (MPV), eosinophil counts (EoC), and C-reactive protein (CRP) showed higher importance for predicting sepsis patient survival, whereas, SOFA, APACHE II, platelet counts (PLTC), and CRP obtained higher importance in the SIRS cohort. Conclusion: By using complete blood count parameters as predictors of ICU patient survival, machine learning models can accurately predict the survival of SIRS and sepsis ICU patients. Interestingly, feature importance highlights the role of CRP and APACHE II in both SIRS and sepsis populations. In addition, MPV and EoC are shown to be important features for the sepsis population only, whereas SOFA and PLTC have higher importance for SIRS patients.
Language	English
Publishing date	2024-03-15
Publishing country	United States
Document type	Journal Article
ISSN	2767-3170
ISSN (online)	2767-3170
DOI	10.1371/journal.pdig.0000459
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Article ; Online: Statistical shape modeling-based algorithm for replacing missing beats in blood pressure signals.

Garagnani, Margherita / Mollura, Maximiliano / Barbieri, Riccardo

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

2023 Volume 2023, Page(s) 1–4

Abstract: In clinical environments, such as the Intensive Care Unit (ICU), continuous and uninterrupted monitoring of vital signs is critical for the early detection of patient deterioration and prompt intervention. Since data collected in these settings are often ...

Abstract	In clinical environments, such as the Intensive Care Unit (ICU), continuous and uninterrupted monitoring of vital signs is critical for the early detection of patient deterioration and prompt intervention. Since data collected in these settings are often corrupted by noise, artifacts, or recording gaps, it is important to estimate missing data for a more accurate signal assessment.In this study, we propose an automatic algorithm for reconstructing of arterial blood pressure signal waveforms. The methodological core of the algorithm is based on the idea of statistical shape modeling, which basically estimates the shape variation of beat waveforms in order to reconstruct them in noisy segments. The waveform reconstruction is achieved by combining the average beat template from a 90-second segment of clean signal preceding the gap with the main shape variations of the estimated waveform.The algorithm was validated using arterial blood pressure recordings from 9 subjects admitted in the ICU and collected in the MIMIC-III Waveform Database, each lasting 1 hour and sampled at 125 Hz. For each record, ten fictitious gaps were created, and the reconstructed segments were compared to the original signals with the metrics proposed within the PhysioNet / Computing in Cardiology Challenge 2010. Results demonstrate the excellent performance of the proposed algorithm, with overall averages of both Q1 and Q2 metrics greater than 0.85.
MeSH term(s)	Humans ; Blood Pressure/physiology ; Heart Rate/physiology ; Arterial Pressure ; Heart/physiology ; Algorithms
Language	English
Publishing date	2023-12-11
Publishing country	United States
Document type	Journal Article
ISSN	2694-0604
ISSN (online)	2694-0604
DOI	10.1109/EMBC40787.2023.10340122
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Article ; Online: Characterization of autonomic states by complex sympathetic and parasympathetic dynamics.

Nardelli, Mimma / Citi, Luca / Barbieri, Riccardo / Valenza, Gaetano

Physiological measurement

2023 Volume 44, Issue 3

Abstract: Assessment of heartbeat dynamics provides a promising framework for non-invasive monitoring of cardiovascular and autonomic states. Nevertheless, the non-specificity of such measurements among clinical populations and healthy conditions associated with ... ...

Abstract	Assessment of heartbeat dynamics provides a promising framework for non-invasive monitoring of cardiovascular and autonomic states. Nevertheless, the non-specificity of such measurements among clinical populations and healthy conditions associated with different autonomic states severely limits their applicability and exploitation in naturalistic conditions. This limitation arises especially when pathological or postural change-related sympathetic hyperactivity is compared to autonomic changes across age and experimental conditions. In this frame, we investigate the intrinsic irregularity and complexity of cardiac sympathetic and vagal activity series in different populations, which are associated with different cardiac autonomic dynamics. Sample entropy, fuzzy entropy, and distribution entropy are calculated on the recently proposed sympathetic and parasympathetic activity indices (SAI and PAI) series, which are derived from publicly available heartbeat series of congestive heart failure patients, elderly and young subjects watching a movie in the supine position, and healthy subjects undergoing slow postural changes. Results show statistically significant differences between pathological/old subjects and young subjects in the resting state and during slow tilt, with interesting trends in SAI- and PAI-related entropy values. Moreover, while CHF patients and healthy subjects in upright position show the higher cardiac sympathetic activity, elderly and young subjects in resting state showed higher vagal activity. We conclude that quantification of intrinsic cardiac complexity from sympathetic and vagal dynamics may provide new physiology insights and improve on the non-specificity of heartbeat-derived biomarkers.
MeSH term(s)	Humans ; Aged ; Autonomic Nervous System ; Vagus Nerve/physiology ; Heart ; Cardiovascular System ; Heart Rate/physiology
Language	English
Publishing date	2023-03-08
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1149545-5
ISSN	1361-6579 ; 0967-3334
ISSN (online)	1361-6579
ISSN	0967-3334
DOI	10.1088/1361-6579/acbc07
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Article: Two thousand years of epidemics in Marseille and the Mediterranean Basin.

Barbieri, R / Drancourt, M

New microbes and new infections

2018 Volume 26, Page(s) S4–S9

Abstract: Marseille has been exposed to epidemics for two millennia, including plague, cholera and yellow fever. This long-standing exposure to epidemics has given the people of Marseilles a particular expertise in fighting epidemics. Lazarets and other quarantine ...

Abstract	Marseille has been exposed to epidemics for two millennia, including plague, cholera and yellow fever. This long-standing exposure to epidemics has given the people of Marseilles a particular expertise in fighting epidemics. Lazarets and other quarantine measures were implemented as a response to preventing the further spread of the disease in the community. The Institut Hospitalier Universitaire Méditerranée Infection is paving the way today, with its responses built on the region's long history and knowledge of epidemics, infectious diseases and medical microbiology.
Language	English
Publishing date	2018-08-16
Publishing country	England
Document type	Journal Article
ZDB-ID	2750179-6
ISSN	2052-2975
ISSN	2052-2975
DOI	10.1016/j.nmni.2018.08.009
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Article: Understanding the role of emotion in decision making process: using machine learning to analyze physiological responses to visual, auditory, and combined stimulation.

Polo, Edoardo Maria / Farabbi, Andrea / Mollura, Maximiliano / Mainardi, Luca / Barbieri, Riccardo

Frontiers in human neuroscience

2024 Volume 17, Page(s) 1286621

Abstract: Emotions significantly shape decision-making, and targeted emotional elicitations represent an important factor in neuromarketing, where they impact advertising effectiveness by capturing potential customers' attention intricately associated with ... ...

Abstract	Emotions significantly shape decision-making, and targeted emotional elicitations represent an important factor in neuromarketing, where they impact advertising effectiveness by capturing potential customers' attention intricately associated with emotional triggers. Analyzing biometric parameters after stimulus exposure may help in understanding emotional states. This study investigates autonomic and central nervous system responses to emotional stimuli, including images, auditory cues, and their combination while recording physiological signals, namely the electrocardiogram, blood volume pulse, galvanic skin response, pupillometry, respiration, and the electroencephalogram. The primary goal of the proposed analysis is to compare emotional stimulation methods and to identify the most effective approach for distinct physiological patterns. A novel feature selection technique is applied to further optimize the separation of four emotional states. Basic machine learning approaches are used in order to discern emotions as elicited by different kinds of stimulation. Electroencephalographic signals, Galvanic skin response and cardio-respiratory coupling-derived features provided the most significant features in distinguishing the four emotional states. Further findings highlight how auditory stimuli play a crucial role in creating distinct physiological patterns that enhance classification within a four-class problem. When combining all three types of stimulation, a validation accuracy of 49% was achieved. The sound-only and the image-only phases resulted in 52% and 44% accuracy respectively, whereas the combined stimulation of images and sounds led to 51% accuracy. Isolated visual stimuli yield less distinct patterns, necessitating more signals for relatively inferior performance compared to other types of stimuli. This surprising significance arises from limited auditory exploration in emotional recognition literature, particularly contrasted with the pleathora of studies performed using visual stimulation. In marketing, auditory components might hold a more relevant potential to significantly influence consumer choices.
Language	English
Publishing date	2024-01-08
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2425477-0
ISSN	1662-5161
ISSN	1662-5161
DOI	10.3389/fnhum.2023.1286621
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Article: Voltage-Gated Sodium Channel Dysfunctions in Neurological Disorders.

Barbieri, Raffaella / Nizzari, Mario / Zanardi, Ilaria / Pusch, Michael / Gavazzo, Paola

Life (Basel, Switzerland)

2023 Volume 13, Issue 5

Abstract: The pore-forming subunits (α subunits) of voltage-gated sodium channels (VGSC) are encoded in humans by a family of nine highly conserved genes. Among them, ...

Abstract	The pore-forming subunits (α subunits) of voltage-gated sodium channels (VGSC) are encoded in humans by a family of nine highly conserved genes. Among them,
Language	English
Publishing date	2023-05-16
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2662250-6
ISSN	2075-1729
ISSN	2075-1729
DOI	10.3390/life13051191
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Article ; Online: Analysis of physiological and non-contact signals to evaluate the emotional component in consumer preferences.

Laureanti, Rita / Barbieri, Riccardo / Cerina, Luca / Mainardi, Luca

PloS one

2022 Volume 17, Issue 5, Page(s) e0267429

Abstract: Emotions are an essential drive in decision making and may influence consumer preference. In this study we assessed the influence of brands in product preference after tasting 2 soft-drinks (Coca Cola vs. Cola beverage), by using physiological ... ...

Abstract	Emotions are an essential drive in decision making and may influence consumer preference. In this study we assessed the influence of brands in product preference after tasting 2 soft-drinks (Coca Cola vs. Cola beverage), by using physiological measurements, namely the skin conductance, the respiratory rate and heart rate variability (HRV) extracted using contactless sensors. The experimental protocol enrolled twenty-five young subjects which were asked to taste 2 soft drinks in random order, without knowing the brand (blind condition) and then knowing the brand (not blind condition). After each phase the subject was asked to choose the preferred beverage. Our main hypothesis is that if the subject knows the brand there is an arousal effect, independently from the absolute appreciation of the product. In order to evaluate the emotional components, the skin conductance, respiratory and Video-Photoplethysmographic (PPG) signals were continuously recorded throughout the experiment. The Video-PPG was then processed to extract HRV parameters. We observed that the arousal levels changed among beverages and conditions, going from higher arousal for Coca-Cola in the blind condition, to higher arousal for Cola in the not blind condition. Moreover, 44% of the subjects changed their preference when the brand was uncovered: from blind to not blind conditions, 6 subjects went from Cola to Coca-Cola as preferred drink and 5 went from Coca-Cola to Cola. Opposite results were found for the two beverages when comparing the physiological response when the beverage was/was not preferred. Finally, differences were found also between consumers and not consumers of Coca-Cola and the blind/not blind comparison. We conclude that the brand is a fundamental element in a request for choice and it can affect the first emotional response of a subject.
MeSH term(s)	Carbonated Beverages ; Cola ; Consumer Behavior ; Emotions ; Humans ; Taste/physiology
Language	English
Publishing date	2022-05-13
Publishing country	United States
Document type	Journal Article ; Randomized Controlled Trial
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0267429
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Article ; Online: Late sodium current blocker GS967 inhibits persistent currents induced by familial hemiplegic migraine type 3 mutations of the SCN1A gene.

Barbieri, R / Bertelli, S / Pusch, M / Gavazzo, P

The journal of headache and pain

2019 Volume 20, Issue 1, Page(s) 107

Abstract: Background: Familial hemiplegic migraine (FHM) is a group of genetic migraine, associated with hemiparesis and aura. Three causative different genes have been identified, all of which are involved in membrane ion transport. Among these, SCN1A encodes ... ...

Abstract	Background: Familial hemiplegic migraine (FHM) is a group of genetic migraine, associated with hemiparesis and aura. Three causative different genes have been identified, all of which are involved in membrane ion transport. Among these, SCN1A encodes the voltage-gated Na Methods: To obtain a more complete picture, here, we characterized by patch clamp approach the remaining 5 mutations (Q1489H, I1498M, F1499 L, M1500 V, F1661 L) in heterologous expression systems. Results: With the exception of I1498M, all mutants exhibited the same current density as WT and exhibited a shift of the steady state inactivation to more positive voltages, an accelerated recovery from inactivation, and an increase of the persistent current, revealing that most FHM3 mutations induce a gain of function. We also determined the effect of GS967, a late Na Conclusion: In conclusion, late Na
MeSH term(s)	Action Potentials ; Epilepsy ; HEK293 Cells ; Humans ; Migraine Disorders/genetics ; Migraine Disorders/physiopathology ; Migraine with Aura/physiopathology ; Mutation ; NAV1.1 Voltage-Gated Sodium Channel/chemistry ; NAV1.1 Voltage-Gated Sodium Channel/physiology ; Neurons/metabolism ; Pyridines/pharmacology ; Sodium ; Triazoles/pharmacology
Chemical Substances	6-(4-(trifluoromethoxy)phenyl)-3-(trifluoromethyl)(1,2,4)triazolo(4,3-a)pyridine ; NAV1.1 Voltage-Gated Sodium Channel ; Pyridines ; SCN1A protein, human ; Triazoles ; Sodium (9NEZ333N27)
Language	English
Publishing date	2019-11-15
Publishing country	England
Document type	Journal Article
ZDB-ID	2036768-5
ISSN	1129-2377 ; 1129-2369
ISSN (online)	1129-2377
ISSN	1129-2369
DOI	10.1186/s10194-019-1056-2
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Article ; Online: Comparison of different emotion stimulation modalities: an EEG signal analysis.

Farabbi, Andrea / Polo, Edoardo M / Barbieri, Riccardo / Mainardi, Luca

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

2022 Volume 2022, Page(s) 3710–3713

Abstract: Emotions processing is a complex mechanism that involves different physiological systems. In particular, the Central Nervous System (CNS) is considered to play a key role in this mechanism and one of the main modalities to study the CNS activity is the ... ...

Abstract	Emotions processing is a complex mechanism that involves different physiological systems. In particular, the Central Nervous System (CNS) is considered to play a key role in this mechanism and one of the main modalities to study the CNS activity is the Electroencephalographic signal (EEG). To elicit emotions, different kinds of stimuli can be used e.g.: audio, visual or a combination of the two. Literature studies focus more on the correct classification of the different types of emotions or which kind of stimulation gives the best performance in terms of classification accuracy. However, it is still unclear how the different stimuli elicit the emotions and which are the results in terms of brain activity. In this paper, we analysed and compared EEG signals given by eliciting emotions using audio and visual stimuli or a combination of the latter two. Data were collected during experiments conducted in our laboratories using IAPS and IADS dataset. Our study confirmed literature physiological studies about emotions highlighting higher brain activity in the frontal and central regions and in the δ and θ bands for each kind of stimulus. However, audio stimulation was found to have higher responses when compared to the other two modalities of stimulation in almost all the comparisons performed. Higher values of the δ/β ratios, an index related to negative emotions, have been achieved when using only sounds as stimuli. Moreover, the same type of stimuli, resulted in higher δ-β coupling, suggesting a better attention control. We concluded that stimulating subjects without letting them know (seeing) what is actually happening may give a higher perception of emotions, even if this mechanism remains highly subjective. Clinical Relevance- This paper suggests that audio stimuli may give higher perception of the elicited emotion resulting in higher brain activity in the physiological areas and more focused subjects. Thus using only audio in emotion related studies may give more reliable and consistent results.
MeSH term(s)	Central Nervous System ; Electroencephalography/methods ; Emotions/physiology ; Humans
Language	English
Publishing date	2022-09-10
Publishing country	United States
Document type	Journal Article
ISSN	2694-0604
ISSN (online)	2694-0604
DOI	10.1109/EMBC48229.2022.9871725
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