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254 results on '"Sarica, Alessia"'

7. Conversion from Mild Cognitive Impairment to Alzheimer’s Disease: A Comparison of Tree-Based Machine Learning Algorithms for Survival Analysis

Author

Sarica, Alessia, Aracri, Federica, Bianco, Maria Giovanna, Vaccaro, Maria Grazia, Quattrone, Andrea, Quattrone, Aldo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Feng, editor, Zhang, Yu, editor, Kuai, Hongzhi, editor, Stephen, Emily P., editor, and Wang, Hongjun, editor

Published
2023
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12. Introducing the Rank-Biased Overlap as Similarity Measure for Feature Importance in Explainable Machine Learning: A Case Study on Parkinson’s Disease

Author

Sarica, Alessia, Quattrone, Andrea, Quattrone, Aldo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mahmud, Mufti, editor, He, Jing, editor, Vassanelli, Stefano, editor, van Zundert, André, editor, and Zhong, Ning, editor

Published
2022
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13. May personality influence the selection of life-long mate? A multivariate predictive model

Author

Cerasa, Antonio, Cristiani, Emiliano, De Luca, Barbara, De Narda, Maria Luisa, Cundò, Maria Concetta, Bottani, Sara Concetta, Martino, Iolanda, Sarica, Alessia, and De Canditiis,Daniela

Subjects
Personality -- Research, Psychological research, Mate selection -- Research, Psychology and mental health
Abstract

The idea that individuals tend to choose a romantic partner following similarities on personality traits has always attracted much attention in the psychological literature, although results were controversial. We conducted a new data analysis approach to personality traits of 235 newlywed couples. Univariate analysis revealed that a neurotic husband is usually paired with a lesser extrovert and open wife. To figure out if this mating selection pattern may be translated in a mathematical predictive model a twofold approach was employed by using Partial Least Squares regression and machine learning algorithm. The experimental results demonstrate that marital assortment for personality is a multi-trait complementarity process but these data are unable to predict human mating., Author(s): Antonio Cerasa [sup.1] [sup.2] , Emiliano Cristiani [sup.3] , Barbara De Luca [sup.4] , Maria Luisa De Narda [sup.5] , Maria Concetta Cundò [sup.5] , Sara Concetta Bottani [sup.4] [...]

Published
2022
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14. Multimodal imaging and electrophysiological study in the differential diagnosis of rest tremor

Author

Aracri, Federica, primary, Quattrone, Andrea, additional, Bianco, Maria Giovanna, additional, Sarica, Alessia, additional, De Maria, Marida, additional, Calomino, Camilla, additional, Crasà, Marianna, additional, Nisticò, Rita, additional, Buonocore, Jolanda, additional, Vescio, Basilio, additional, Vaccaro, Maria Grazia, additional, and Quattrone, Aldo, additional

Published
2024
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15. Combined blood Neurofilament light chain and third ventricle width to differentiate Progressive Supranuclear Palsy from Parkinson's Disease: a machine learning study

Author

Bianco, Maria Giovanna, primary, Cristiani, Costanza Maria, additional, Scaramuzzino, Luana, additional, Sarica, Alessia, additional, Augimeri, Antonio, additional, Chimento, Ilaria, additional, Buonocore, Jolanda, additional, Parrotta, Elvira Immacolata, additional, Quattrone, Andrea, additional, Cuda, Gianni, additional, and Quattrone, Aldo, additional

Published
2024
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17. Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI

Author

Maffei, Chiara, Girard, Gabriel, Schilling, Kurt G., Aydogan, Dogu Baran, Adluru, Nagesh, Zhylka, Andrey, Wu, Ye, Mancini, Matteo, Hamamci, Andac, Sarica, Alessia, Teillac, Achille, Baete, Steven H., Karimi, Davood, Yeh, Fang-Cheng, Yildiz, Mert E., Gholipour, Ali, Bihan-Poudec, Yann, Hiba, Bassem, Quattrone, Andrea, Quattrone, Aldo, Boshkovski, Tommy, Stikov, Nikola, Yap, Pew-Thian, de Luca, Alberto, Pluim, Josien, Leemans, Alexander, Prabhakaran, Vivek, Bendlin, Barbara B., Alexander, Andrew L., Landman, Bennett A., Canales-Rodríguez, Erick J., Barakovic, Muhamed, Rafael-Patino, Jonathan, Yu, Thomas, Rensonnet, Gaëtan, Schiavi, Simona, Daducci, Alessandro, Pizzolato, Marco, Fischi-Gomez, Elda, Thiran, Jean-Philippe, Dai, George, Grisot, Giorgia, Lazovski, Nikola, Puch, Santi, Ramos, Marc, Rodrigues, Paulo, Prčkovska, Vesna, Jones, Robert, Lehman, Julia, Haber, Suzanne N., and Yendiki, Anastasia

Published
2022
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20. Explainable Boosting Machine for Predicting Alzheimer’s Disease from MRI Hippocampal Subfields

Author

Sarica, Alessia, Quattrone, Andrea, Quattrone, Aldo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mahmud, Mufti, editor, Kaiser, M Shamim, editor, Vassanelli, Stefano, editor, Dai, Qionghai, editor, and Zhong, Ning, editor

Published
2021
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22. Combined cortical thickness and blink reflex recovery cycle to differentiate essential tremor with and without resting tremor.

Author

Calomino, Camilla, Quattrone, Andrea, Bianco, Maria Giovanna, Nisticò, Rita, Buonocore, Jolanda, Crasà, Marianna, Vaccaro, Maria Grazia, Sarica, Alessia, and Quattrone, Aldo

Subjects
ESSENTIAL tremor, BLINKING (Physiology), MACHINE learning, INTERSTIMULUS interval, TREMOR
Abstract

Objective: To investigate the performance of structural MRI cortical and subcortical morphometric data combined with blink-reflex recovery cycle (BRrc) values using machine learning (ML) models in distinguishing between essential tremor (ET) with resting tremor (rET) and classic ET. Methods: We enrolled 47 ET, 43 rET patients and 45 healthy controls (HC). All participants underwent brain 3 T-MRI and BRrc examination at different interstimulus intervals (ISIs, 100--300 msec). MRI data (cortical thickness, volumes, surface area, roughness, mean curvature and subcortical volumes) were extracted using Freesurfer on T1-weighted images. We employed two decision tree-based ML classification algorithms (eXtreme Gradient Boosting [XGBoost] and Random Forest) combining MRI data and BRrc values to differentiate between rET and ET patients. Results: ML models based exclusively on MRI features reached acceptable performance (AUC: 0.85--0.86) in differentiating rET from ET patients and from HC. Similar performances were obtained by ML models based on BRrc data (AUC: 0.81--0.82 in rET vs. ET and AUC: 0.88--0.89 in rET vs. HC). ML models combining imaging data (cortical thickness, surface, roughness, and mean curvature) together with BRrc values showed the highest classification performance in distinguishing between rET and ET patients, reaching AUC of 0.94 ± 0.05. The improvement in classification performances when BRrc data were added to imaging features was confirmed by both ML algorithms. Conclusion: This study highlights the usefulness of adding a simple electrophysiological assessment such as BRrc to MRI cortical morphometric features for accurately distinguishing rET from ET patients, paving the way for a better classification of these ET syndromes. [ABSTRACT FROM AUTHOR]

Published
2024
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25. Sex Differences in Conversion Risk from Mild Cognitive Impairment to Alzheimer's Disease: An Explainable Machine Learning Study with Random Survival Forests and SHAP.

Author

Sarica, Alessia, Pelagi, Assunta, Aracri, Federica, Arcuri, Fulvia, Quattrone, Aldo, and Quattrone, Andrea

Subjects
*ALZHEIMER'S disease, *MILD cognitive impairment, *MACHINE learning, *MALE models, *VERBAL memory, BRAIN metabolism
Abstract

Alzheimer's disease (AD) exhibits sex-linked variations, with women having a higher prevalence, and little is known about the sexual dimorphism in progressing from Mild Cognitive Impairment (MCI) to AD. The main aim of our study was to shed light on the sex-specific conversion-to-AD risk factors using Random Survival Forests (RSF), a Machine Learning survival approach, and Shapley Additive Explanations (SHAP) on dementia biomarkers in stable (sMCI) and progressive (pMCI) patients. With this purpose, we built two separate models for male (M-RSF) and female (F-RSF) cohorts to assess whether global explanations differ between the sexes. Similarly, SHAP local explanations were obtained to investigate changes across sexes in feature contributions to individual risk predictions. The M-RSF achieved higher performance on the test set (0.87) than the F-RSF (0.79), and global explanations of male and female models had limited similarity (<71.1%). Common influential variables across the sexes included brain glucose metabolism and CSF biomarkers. Conversely, the M-RSF had a notable contribution from hippocampus, which had a lower impact on the F-RSF, while verbal memory and executive function were key contributors only in F-RSF. Our findings confirmed that females had a higher risk of progressing to dementia; moreover, we highlighted distinct sex-driven patterns of variable importance, uncovering different feature contribution risks across sexes that decrease/increase the conversion-to-AD risk. [ABSTRACT FROM AUTHOR]

Published
2024
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28. Regional Targeted Subcutaneous Injection of Botulinum Neurotoxin Type A in Refractory Chronic Migraine: A Randomized, Double-Blind, Placebo-Controlled Study

Author

Bono, Francesco, primary, Mazza, Maria Rosaria, additional, Magro, Giuseppe, additional, Spano, Giorgio, additional, Idone, Giovanni, additional, Laterza, Vincenzo, additional, Tedeschi, Denise, additional, Pucci, Francesco, additional, Gambardella, Antonio, additional, and Sarica, Alessia, additional

Published
2023
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29. Author Correction: The challenge of mapping the human connectome based on diffusion tractography

Author

Maier-Hein, Klaus H., Neher, Peter F., Houde, Jean-Christophe, Côté, Marc-Alexandre, Garyfallidis, Eleftherios, Zhong, Jidan, Chamberland, Maxime, Yeh, Fang-Cheng, Lin, Ying-Chia, Ji, Qing, Reddick, Wilburn E., Glass, John O., Chen, David Qixiang, Feng, Yuanjing, Gao, Chengfeng, Wu, Ye, Ma, Jieyan, He, Renjie, Li, Qiang, Westin, Carl-Fredrik, Deslauriers-Gauthier, Samuel, González, J. Omar Ocegueda, Paquette, Michael, St-Jean, Samuel, Girard, Gabriel, Rheault, François, Sidhu, Jasmeen, Tax, Chantal M. W., Guo, Fenghua, Mesri, Hamed Y., Dávid, Szabolcs, Froeling, Martijn, Heemskerk, Anneriet M., Leemans, Alexander, Boré, Arnaud, Pinsard, Basile, Bedetti, Christophe, Desrosiers, Matthieu, Brambati, Simona, Doyon, Julien, Sarica, Alessia, Vasta, Roberta, Cerasa, Antonio, Quattrone, Aldo, Yeatman, Jason, Khan, Ali R., Hodges, Wes, Alexander, Simon, Romascano, David, Barakovic, Muhamed, Auría, Anna, Esteban, Oscar, Lemkaddem, Alia, Thiran, Jean-Philippe, Cetingul, H. Ertan, Odry, Benjamin L., Mailhe, Boris, Nadar, Mariappan S., Pizzagalli, Fabrizio, Prasad, Gautam, Villalon-Reina, Julio E., Galvis, Justin, Thompson, Paul M., De Santiago Requejo, Francisco, Laguna, Pedro Luque, Lacerda, Luis Miguel, Barrett, Rachel, Dell’Acqua, Flavio, Catani, Marco, Petit, Laurent, Caruyer, Emmanuel, Daducci, Alessandro, Dyrby, Tim B., Holland-Letz, Tim, Hilgetag, Claus C., Stieltjes, Bram, and Descoteaux, Maxime

Published
2019
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30. Five-factor personality traits in priests

Author

Cerasa, Antonio, Lombardo, Giuditta, Tripodi, Doriana, Stillitano, Elisabetta, Sarica, Alessia, Gramigna, Vera, Martino, Iolanda, Pullera, Anna, Tigani, Silvia, De Carlo, Ylenia, Idone, Maddalena, Scaglione, Anna, Ziarelli, Elena, Vasta, Roberta, Donzuso, Giulia, Rizzo, Maria, and Zucaro, Don Luigi

Published
2016
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31. K-Surfer: A KNIME Extension for the Management and Analysis of Human Brain MRI FreeSurfer/FSL Data

Author

Sarica, Alessia, Di Fatta, Giuseppe, Cannataro, Mario, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Tanaka, Yuzuru, editor, Wahlster, Wolfgang, editor, Siekmann, Jörg, editor, Ślȩzak, Dominik, editor, Tan, Ah-Hwee, editor, Peters, James F., editor, and Schwabe, Lars, editor

Published
2014
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34. Magnetic Resonance Planimetry in the Differential Diagnosis between Parkinson’s Disease and Progressive Supranuclear Palsy

Author

Quattrone, Andrea, primary, Morelli, Maurizio, additional, Bianco, Maria G., additional, Buonocore, Jolanda, additional, Sarica, Alessia, additional, Caligiuri, Maria Eugenia, additional, Aracri, Federica, additional, Calomino, Camilla, additional, De Maria, Marida, additional, Vaccaro, Maria Grazia, additional, Gramigna, Vera, additional, Augimeri, Antonio, additional, Vescio, Basilio, additional, and Quattrone, Aldo, additional

Published
2022
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35. The challenge of mapping the human connectome based on diffusion tractography

Author

Maier-Hein, Klaus H., Neher, Peter F., Houde, Jean-Christophe, Côté, Marc-Alexandre, Garyfallidis, Eleftherios, Zhong, Jidan, Chamberland, Maxime, Yeh, Fang-Cheng, Lin, Ying-Chia, Ji, Qing, Reddick, Wilburn E., Glass, John O., Chen, David Qixiang, Feng, Yuanjing, Gao, Chengfeng, Wu, Ye, Ma, Jieyan, He, Renjie, Li, Qiang, Westin, Carl-Fredrik, Deslauriers-Gauthier, Samuel, González, J. Omar Ocegueda, Paquette, Michael, St-Jean, Samuel, Girard, Gabriel, Rheault, François, Sidhu, Jasmeen, Tax, Chantal M. W., Guo, Fenghua, Mesri, Hamed Y., Dávid, Szabolcs, Froeling, Martijn, Heemskerk, Anneriet M., Leemans, Alexander, Boré, Arnaud, Pinsard, Basile, Bedetti, Christophe, Desrosiers, Matthieu, Brambati, Simona, Doyon, Julien, Sarica, Alessia, Vasta, Roberta, Cerasa, Antonio, Quattrone, Aldo, Yeatman, Jason, Khan, Ali R., Hodges, Wes, Alexander, Simon, Romascano, David, Barakovic, Muhamed, Auría, Anna, Esteban, Oscar, Lemkaddem, Alia, Thiran, Jean-Philippe, Cetingul, H. Ertan, Odry, Benjamin L., Mailhe, Boris, Nadar, Mariappan S., Pizzagalli, Fabrizio, Prasad, Gautam, Villalon-Reina, Julio E., Galvis, Justin, Thompson, Paul M., Requejo, Francisco De Santiago, Laguna, Pedro Luque, Lacerda, Luis Miguel, Barrett, Rachel, Dell’Acqua, Flavio, Catani, Marco, Petit, Laurent, Caruyer, Emmanuel, Daducci, Alessandro, Dyrby, Tim B., Holland-Letz, Tim, Hilgetag, Claus C., Stieltjes, Bram, and Descoteaux, Maxime

Published
2017
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36. Insights from the IronTract challenge:Optimal methods for mapping brain pathways from multi-shell diffusion MRI

Author

Maffei, Chiara, Girard, Gabriel, Schilling, Kurt G, Aydogan, Dogu Baran, Adluru, Nagesh, Zhylka, Andrey, Wu, Ye, Mancini, Matteo, Hamamci, Andac, Sarica, Alessia, Teillac, Achille, Baete, Steven H, Karimi, Davood, Yeh, Fang-Cheng, Yildiz, Mert E, Gholipour, Ali, Bihan-Poudec, Yann, Hiba, Bassem, Quattrone, Andrea, Quattrone, Aldo, Boshkovski, Tommy, Stikov, Nikola, Yap, Pew-Thian, de Luca, Alberto, Pluim, Josien, Leemans, Alexander, Prabhakaran, Vivek, Bendlin, Barbara B, Alexander, Andrew L, Landman, Bennett A, Canales-Rodríguez, Erick J, Barakovic, Muhamed, Rafael-Patino, Jonathan, Yu, Thomas, Rensonnet, Gaëtan, Schiavi, Simona, Daducci, Alessandro, Pizzolato, Marco, Fischi-Gomez, Elda, Thiran, Jean-Philippe, Dai, George, Grisot, Giorgia, Lazovski, Nikola, Puch, Santi, Ramos, Marc, Rodrigues, Paulo, Prčkovska, Vesna, Jones, Robert, Lehman, Julia, Haber, Suzanne N, Yendiki, Anastasia, Maffei, Chiara, Girard, Gabriel, Schilling, Kurt G, Aydogan, Dogu Baran, Adluru, Nagesh, Zhylka, Andrey, Wu, Ye, Mancini, Matteo, Hamamci, Andac, Sarica, Alessia, Teillac, Achille, Baete, Steven H, Karimi, Davood, Yeh, Fang-Cheng, Yildiz, Mert E, Gholipour, Ali, Bihan-Poudec, Yann, Hiba, Bassem, Quattrone, Andrea, Quattrone, Aldo, Boshkovski, Tommy, Stikov, Nikola, Yap, Pew-Thian, de Luca, Alberto, Pluim, Josien, Leemans, Alexander, Prabhakaran, Vivek, Bendlin, Barbara B, Alexander, Andrew L, Landman, Bennett A, Canales-Rodríguez, Erick J, Barakovic, Muhamed, Rafael-Patino, Jonathan, Yu, Thomas, Rensonnet, Gaëtan, Schiavi, Simona, Daducci, Alessandro, Pizzolato, Marco, Fischi-Gomez, Elda, Thiran, Jean-Philippe, Dai, George, Grisot, Giorgia, Lazovski, Nikola, Puch, Santi, Ramos, Marc, Rodrigues, Paulo, Prčkovska, Vesna, Jones, Robert, Lehman, Julia, Haber, Suzanne N, and Yendiki, Anastasia

Abstract

Limitations in the accuracy of brain pathways reconstructed by diffusion MRI (dMRI) tractography have received considerable attention. While the technical advances spearheaded by the Human Connectome Project (HCP) led to significant improvements in dMRI data quality, it remains unclear how these data should be analyzed to maximize tractography accuracy. Over a period of two years, we have engaged the dMRI community in the IronTract Challenge, which aims to answer this question by leveraging a unique dataset. Macaque brains that have received both tracer injections and ex vivo dMRI at high spatial and angular resolution allow a comprehensive, quantitative assessment of tractography accuracy on state-of-the-art dMRI acquisition schemes. We find that, when analysis methods are carefully optimized, the HCP scheme can achieve similar accuracy as a more time-consuming, Cartesian-grid scheme. Importantly, we show that simple pre- and post-processing strategies can improve the accuracy and robustness of many tractography methods. Finally, we find that fiber configurations that go beyond crossing (e.g., fanning, branching) are the most challenging for tractography. The IronTract Challenge remains open and we hope that it can serve as a valuable validation tool for both users and developers of dMRI analysis methods.

Published
2022

41. Insights from the IronTract challenge: optimal methods for mapping brain pathways from multi-shell diffusion MRI

Author

Maffei, Chiara, primary, Girard, Gabriel, additional, Schilling, Kurt G., additional, Aydogan, Dogu Baran, additional, Adluru, Nagesh, additional, Zhylka, Andrey, additional, Wu, Ye, additional, Mancini, Matteo, additional, Hamamci, Andac, additional, Sarica, Alessia, additional, Teillac, Achille, additional, Baete, Steven H., additional, Karimi, Davood, additional, Yeh, Fang-Cheng, additional, Yildiz, Mert E., additional, Gholipour, Ali, additional, Bihan-Poudec, Yann, additional, Hiba, Bassem, additional, Quattrone, Andrea, additional, Quattrone, Aldo, additional, Boshkovski, Tommy, additional, Stikov, Nikola, additional, Yap, Pew-Thian, additional, de Luca, Alberto, additional, Pluim, Josien, additional, Leemans, Alexander, additional, Prabhakaran, Vivek, additional, Bendlin, Barbara B., additional, Alexander, Andrew L., additional, Landman, Bennett A., additional, Canales-Rodríguez, Erick J., additional, Barakovic, Muhamed, additional, Rafael-Patino, Jonathan, additional, Yu, Thomas, additional, Rensonnet, Gaëtan, additional, Schiavi, Simona, additional, Daducci, Alessandro, additional, Pizzolato, Marco, additional, Fischi-Gomez, Elda, additional, Thiran, Jean-Philippe, additional, Dai, George, additional, Grisot, Giorgia, additional, Lazovski, Nikola, additional, Puch, Santi, additional, Ramos, Marc, additional, Rodrigues, Paulo, additional, Prchkovska, Vesna, additional, Jones, Robert, additional, Lehman, Julia, additional, Haber, Suzanne N., additional, and Yendiki, Anastasia, additional

Published
2021
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42. Small P values may not yield robust findings: an example using REST-meta-PD

Author

Jia, Xi-Ze, primary, Zhao, Na, additional, Dong, Hao-Ming, additional, Sun, Jia-Wei, additional, Barton, Marek, additional, Burciu, Roxana, additional, Carrière, Nicolas, additional, Cerasa, Antonio, additional, Chen, Bo-Yu, additional, Chen, Jun, additional, Coombes, Stephen, additional, Defebvre, Luc, additional, Delmaire, Christine, additional, Dujardin, Kathy, additional, Esposito, Fabrizio, additional, Fan, Guo-Guang, additional, Di Nardo, Federica, additional, Feng, Yi-Xuan, additional, Fling, Brett W., additional, Garg, Saurabh, additional, Gilat, Moran, additional, Gorges, Martin, additional, Ho, Shu-Leong, additional, Horak, Fay B., additional, Hu, Xiao, additional, Hu, Xiao-Fei, additional, Huang, Biao, additional, Huang, Pei-Yu, additional, Jia, Ze-Juan, additional, Jones, Christina, additional, Kassubek, Jan, additional, Krajcovicova, Lenka, additional, Kurani, Ajay, additional, Li, Jing, additional, Li, Qing, additional, Liu, Ai-Ping, additional, Liu, Bo, additional, Liu, Hu, additional, Liu, Wei-Guo, additional, Lopes, Renaud, additional, Lou, Yu-Ting, additional, Luo, Wei, additional, Madhyastha, Tara, additional, Mao, Ni-Ni, additional, McAlonan, Grainne, additional, McKeown, Martin J., additional, Pang, Shirley, additional, Quattrone, Andrea, additional, Rektorova, Irena, additional, Sarica, Alessia, additional, Shang, Hui-Fang, additional, Shine, James M., additional, Shukla, Priyank, additional, Slavicek, Tomas, additional, Song, Xiao-Peng, additional, Tedeschi, Gioacchino, additional, Tessitore, Alessandro, additional, Vaillancourt, David, additional, Wang, Jian, additional, Wang, Jue, additional, Jane Wang, Z., additional, Wei, Lu-Qing, additional, Wu, Xia, additional, Xu, Xiao-Jun, additional, Yan, Lei, additional, Yang, Jing, additional, Yang, Wan-Qun, additional, Yao, Nai-Lin, additional, Zhang, De-Long, additional, Zhang, Jiu-Quan, additional, Zhang, Min-Ming, additional, Zhang, Yan-Ling, additional, Zhou, Cai-Hong, additional, Yan, Chao-Gan, additional, Zuo, Xi-Nian, additional, Hallett, Mark, additional, Wu, Tao, additional, and Zang, Yu-Feng, additional

Published
2021
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44. Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

Author

Bron, Esther E., Smits, Marion, van der Flier, Wiesje M., Vrenken, Hugo, Barkhof, Frederik, Scheltens, Philip, Papma, Janne M., Steketee, Rebecca M.E., Orellana, Carolina Méndez, Meijboom, Rozanna, Pinto, Madalena, Meireles, Joana R., Garrett, Carolina, Bastos-Leite, António J., Abdulkadir, Ahmed, Ronneberger, Olaf, Amoroso, Nicola, Bellotti, Roberto, Cárdenas-Peña, David, Álvarez-Meza, Andrés M., Dolph, Chester V., Iftekharuddin, Khan M., Eskildsen, Simon F., Coupé, Pierrick, Fonov, Vladimir S., Franke, Katja, Gaser, Christian, Ledig, Christian, Guerrero, Ricardo, Tong, Tong, Gray, Katherine R., Moradi, Elaheh, Tohka, Jussi, Routier, Alexandre, Durrleman, Stanley, Sarica, Alessia, Di Fatta, Giuseppe, Sensi, Francesco, Chincarini, Andrea, Smith, Garry M., Stoyanov, Zhivko V., Sørensen, Lauge, Nielsen, Mads, Tangaro, Sabina, Inglese, Paolo, Wachinger, Christian, Reuter, Martin, van Swieten, John C., Niessen, Wiro J., and Klein, Stefan

Published
2015
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45. THE SOCIO-SEXUAL EXPERIENCES IN SOUTHERN ITALIANS DURING THE COVID-19 PANDEMIC: A CLUSTERING ANALYSIS

Author

Juli, Maria Rosaria, Vaccaro, Maria Grazia, Izzo, Giulia, Sarica, Alessia, Aversa, Antonio, Juli, Maria Rosaria, Vaccaro, Maria Grazia, Izzo, Giulia, Sarica, Alessia, and Aversa, Antonio

Abstract

The COVID-19 outbreak has dramatically impacted on socioeconomic structure, individual freedom, general wellbeing, psychological health and sexuality. Indeed, social distancing, home confinement and the fear of contagion have reduced the possibility of romantic encounters thus influencing sexual activity, desire and behavior and, consequently, modifying socio-sexual experiences. The aim of this study is to examine sociosexuality and sociosexual experiences in southern Italians during the COVID-19 pandemic.

Published
2021

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