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Article ; Online: An overview of data integration in neuroscience with focus on Alzheimer's Disease.

Turrisi, Rosanna / Squillario, Margherita / Abate, Giulia / Uberti, Daniela / Barla, Annalisa

IEEE journal of biomedical and health informatics

2023 Volume PP

Abstract: This work represents the first attempt to provide an overview of how to face data integration as the result of a dialogue between neuroscientists and computer scientists. Indeed, data integration is fundamental for studying complex multifactorial ... ...

Abstract	This work represents the first attempt to provide an overview of how to face data integration as the result of a dialogue between neuroscientists and computer scientists. Indeed, data integration is fundamental for studying complex multifactorial diseases, such as the neurodegenerative diseases. This work aims at warning the readers of common pitfalls and critical issues in both medical and data science fields. In this context, we define a road map for data scientists when they first approach the issue of data integration in the biomedical domain, highlighting the challenges that inevitably emerge when dealing with heterogeneous, large-scale and noisy data and proposing possible solutions. Here, we discuss data collection and statistical analysis usually seen as parallel and independent processes, as cross-disciplinary activities. Finally, we provide an exemplary application of data integration to address Alzheimer's Disease (AD), which is the most common multifactorial form of dementia worldwide. We critically discuss the largest and most widely used datasets in AD, and demonstrate how the emergence of machine learning and deep learning methods has had a significant impact on disease's knowledge particularly in the perspective of an early AD diagnosis.
Language	English
Publishing date	2023-04-20
Publishing country	United States
Document type	Journal Article
ZDB-ID	2695320-1
ISSN	2168-2208 ; 2168-2194
ISSN (online)	2168-2208
ISSN	2168-2194
DOI	10.1109/JBHI.2023.3268729
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Article ; Online: Baseline protective behavioral strategy use predicts more moderate transdermal alcohol concentration dynamics and fewer negative consequences of drinking in young adults' natural settings.

Russell, Michael A / Smyth, Joshua M / Turrisi, Rob / Rodriguez, Gabriel C

Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors

2023

Abstract: Objective: Test whether frequent protective behavioral strategies (PBS) users report (a) fewer alcohol-related consequences and (b) less risky alcohol intoxication dynamics (measured via transdermal alcohol concentration [TAC] sensor "features") in ... ...

Abstract	Objective: Test whether frequent protective behavioral strategies (PBS) users report (a) fewer alcohol-related consequences and (b) less risky alcohol intoxication dynamics (measured via transdermal alcohol concentration [TAC] sensor "features") in daily life. Method: Two hundred twenty-two frequently heavy-drinking young adults ( Results: Young adults reporting more frequent baseline PBS use showed (a) fewer alcohol-related consequences and (b) lower intoxication dynamics on average (less AUC, lower peaks, and slower rise rates). Limiting/stopping and manner of drinking PBS showed the same pattern of findings as the total score. Serious harm reduction PBS predicted fewer negative alcohol-related consequences, but not TAC features. Multilevel path models showed that TAC features peak and rise rate partially explained associations between PBS (total, limiting/stopping, and manner of drinking) and consequences. Independent contributions of PBS subscales were small and nonsignificant, suggesting that total PBS use was a more important predictor of risk/protection than the specific types of PBS used. Conclusions: Young adults using more total PBS may experience fewer alcohol-related consequences during real-world drinking episodes in part through less risky intoxication dynamics (TAC features). Future research measuring PBS at the daily level is needed to formally test TAC features as day-level mechanisms of protection from acute alcohol-related consequences. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Language	English
Publishing date	2023-06-29
Publishing country	United States
Document type	Journal Article
ZDB-ID	2101111-4
ISSN	1939-1501 ; 0893-164X
ISSN (online)	1939-1501
ISSN	0893-164X
DOI	10.1037/adb0000941
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Book ; Online: Interpretable Dysarthric Speaker Adaptation based on Optimal-Transport

Turrisi, Rosanna / Badino, Leonardo

2022

Abstract: This work addresses the mismatch problem between the distribution of training data (source) and testing data (target), in the challenging context of dysarthric speech recognition. We focus on Speaker Adaptation (SA) in command speech recognition, where ... ...

Abstract	This work addresses the mismatch problem between the distribution of training data (source) and testing data (target), in the challenging context of dysarthric speech recognition. We focus on Speaker Adaptation (SA) in command speech recognition, where data from multiple sources (i.e., multiple speakers) are available. Specifically, we propose an unsupervised Multi-Source Domain Adaptation (MSDA) algorithm based on optimal-transport, called MSDA via Weighted Joint Optimal Transport (MSDA-WJDOT). We achieve a Command Error Rate relative reduction of 16% and 7% over the speaker-independent model and the best competitor method, respectively. The strength of the proposed approach is that, differently from any other existing SA method, it offers an interpretable model that can also be exploited, in this context, to diagnose dysarthria without any specific training. Indeed, it provides a closeness measure between the target and the source speakers, reflecting their similarity in terms of speech characteristics. Based on the similarity between the target speaker and the healthy/dysarthric source speakers, we then define the healthy/dysarthric score of the target speaker that we leverage to perform dysarthria detection. This approach does not require any additional training and achieves a 95% accuracy in the dysarthria diagnosis. Comment: submitted to interspeech 2022
Keywords	Computer Science - Computation and Language ; Computer Science - Sound ; Electrical Engineering and Systems Science - Audio and Speech Processing
Subject code	400
Publishing date	2022-03-14
Publishing country	us
Document type	Book ; Online
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Article ; Online: "Let's Not Talk About It": Parents' Reasons for Not Discussing Alcohol Use With Emerging Adult Children.

Napper, Lucy E / Trager, Bradley M / LaBrie, Joseph W / Turrisi, Rob

The Journal of adolescent health : official publication of the Society for Adolescent Medicine

2023

Abstract: Purpose: It is unclear why parents avoid discussing alcohol use with their emerging adult (EA) children. Understanding parents' reasons for not communicating could inform parent-based interventions (PBIs) aimed at encouraging constructive discussions. ... ...

Abstract	Purpose: It is unclear why parents avoid discussing alcohol use with their emerging adult (EA) children. Understanding parents' reasons for not communicating could inform parent-based interventions (PBIs) aimed at encouraging constructive discussions. The current study adds to the literature by examining common reasons parents avoid discussing alcohol use with their EA children. Methods: Parents of EAs completed a web-based survey that included items assessing reasons for not communicating about alcohol, as well as measures of alcohol communication intentions, parenting self-efficacy, relationship quality, and interest in participating in an alcohol PBI. Results: Results from the Exploratory Factor Analysis revealed five core reasons why parents do not communicate about alcohol: (1) they lack the skills or resources to communicate; (2) they believe their child is a nondrinker; (3) they believe their child is an independent, trustworthy decision maker; (4) they can teach their child how to drink through modeling; (5) they believe communication is futile. Believing that an EA could and should make their own alcohol decisions was the most common reason for not communicating. In multivariate analyses, this reason for not communicating was associated with greater levels of parental self-efficacy and perceiving a child to drink less alcohol. Further, this reason for not communicating was associated with lower intentions to communicate about drinking and less interest in taking part in a PBI. Discussion: Most parents reported barriers to communication. Understanding why parents are reluctant to discuss alcohol use could inform PBI efforts.
Language	English
Publishing date	2023-05-25
Publishing country	United States
Document type	Journal Article
ZDB-ID	1063374-1
ISSN	1879-1972 ; 1054-139X
ISSN (online)	1879-1972
ISSN	1054-139X
DOI	10.1016/j.jadohealth.2023.03.007
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Article ; Online: Examination of Brief Parent-Based Interventions to Reduce Drinking Outcomes on a Nationally Representative Sample of Teenagers.

Glenn, Shannon D / Turrisi, Robert / Mallett, Kimberly A / Waldron, Katja A / Lenker, Lea K

The Journal of adolescent health : official publication of the Society for Adolescent Medicine

2023 Volume 74, Issue 3, Page(s) 449–457

Abstract: Purpose: Examine brief parent interventions (PBIs) on a nationally representative sample of teenagers (ages 15-18 years) to change drinking, teens declining (i.e., saying no) to ride with impaired drivers, and increase parent communication about alcohol. ...

Abstract	Purpose: Examine brief parent interventions (PBIs) on a nationally representative sample of teenagers (ages 15-18 years) to change drinking, teens declining (i.e., saying no) to ride with impaired drivers, and increase parent communication about alcohol. Methods: Parent-teen dyads (N = 1,176) recruited from a web panel completed online surveys at baseline (T1), 30 days (T2), 6 months (T3), and 12 months (T4) post baseline (P Results: Aim 1 revealed no differences in drinking, but participants in the SG and MADD conditions were able to maintain increases in declining riding with impaired drivers. Aim 2 revealed highly engaged participants reported higher parent communication than moderate and low participants. Aim 3 revealed some highly engaged participants reported less drinking and more declining riding with impaired drivers. Discussion: PBIs may be successful in helping teens decline rides with impaired drivers. Highly engaged parents reported more positive program outcomes than moderate and low engaged parents.
MeSH term(s)	Adolescent ; Female ; Humans ; Male ; Alcohol Drinking/prevention & control ; Automobile Driving ; Communication ; Surveys and Questionnaires
Language	English
Publishing date	2023-11-14
Publishing country	United States
Document type	Journal Article ; Randomized Controlled Trial
ZDB-ID	1063374-1
ISSN	1879-1972 ; 1054-139X
ISSN (online)	1879-1972
ISSN	1054-139X
DOI	10.1016/j.jadohealth.2023.09.010
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Article ; Online: NLP-based tools for localization of the epileptogenic zone in patients with drug-resistant focal epilepsy.

Mora, Sara / Turrisi, Rosanna / Chiarella, Lorenzo / Consales, Alessandro / Tassi, Laura / Mai, Roberto / Nobili, Lino / Barla, Annalisa / Arnulfo, Gabriele

Scientific reports

2024 Volume 14, Issue 1, Page(s) 2349

Abstract: Epilepsy surgery is an option for people with focal onset drug-resistant (DR) seizures but a delayed or incorrect diagnosis of epileptogenic zone (EZ) location limits its efficacy. Seizure semiological manifestations and their chronological appearance ... ...

Abstract	Epilepsy surgery is an option for people with focal onset drug-resistant (DR) seizures but a delayed or incorrect diagnosis of epileptogenic zone (EZ) location limits its efficacy. Seizure semiological manifestations and their chronological appearance contain valuable information on the putative EZ location but their interpretation relies on extensive experience. The aim of our work is to support the localization of EZ in DR patients automatically analyzing the semiological description of seizures contained in video-EEG reports. Our sample is composed of 536 descriptions of seizures extracted from Electronic Medical Records of 122 patients. We devised numerical representations of anamnestic records and seizures descriptions, exploiting Natural Language Processing (NLP) techniques, and used them to feed Machine Learning (ML) models. We performed three binary classification tasks: localizing the EZ in the right or left hemisphere, temporal or extra-temporal, and frontal or posterior regions. Our computational pipeline reached performances above 70% in all tasks. These results show that NLP-based numerical representation combined with ML-based classification models may help in localizing the origin of the seizures relying only on seizures-related semiological text data alone. Accurate early recognition of EZ could enable a more appropriate patient management and a faster access to epilepsy surgery to potential candidates.
MeSH term(s)	Humans ; Natural Language Processing ; Seizures ; Drug Resistant Epilepsy/diagnosis ; Drug Resistant Epilepsy/surgery ; Epilepsy ; Electroencephalography ; Epilepsies, Partial/diagnosis ; Epilepsies, Partial/surgery
Language	English
Publishing date	2024-01-29
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-024-51846-6
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Article ; Online: Exploratory and confirmatory factor analysis of the parental rules toward adolescent drinking questionnaire: Two factors are better than the original one.

Trager, Bradley M / Koning, Ina M / Turrisi, Rob

Addictive behaviors

2021 Volume 117, Page(s) 106855

Abstract: The parental rules toward drinking questionnaire (PRQ; Van der Vorst et al., 2005) assesses strictness toward adolescent drinking situations. The aim of the current study was to address a gap in the literature on the psychometric testing and evaluation ... ...

Abstract	The parental rules toward drinking questionnaire (PRQ; Van der Vorst et al., 2005) assesses strictness toward adolescent drinking situations. The aim of the current study was to address a gap in the literature on the psychometric testing and evaluation of the factor structure of the PRQ. The current sample consisted of Dutch adolescents (N = 2922) who participated in a randomized control trial with three intervention groups (parent, student, and parent + student) and a control. PRQ and frequency of alcohol use (past month and year) were measured at baseline (T1) and 12 months later (T2). Results from Exploratory and Confirmatory Factor Analyses revealed two reliable factors: (a) rules about normative drinking situations and (b) rules about non-normative drinking situations (both αs ≥ 0.88). Regression analyses conducted to examine the prospective effects of the interventions revealed that both parent conditions predicted increases in strictness toward normative drinking situations relative to the control condition, while only the parent + student condition affected the original PRQ (single factor). Further, the normative subscale predicted increases in drinking (past month and year), as did the original PRQ. Significant effects with the normative subscale indicate that rules toward these drinking situations are ones that account for the effects in the original PRQ, and that the original PRQ can mask effects. The results illustrate that the PRQ is multidimensional. The effects of the normative subscale suggest that intervention efforts should focus on preventing drinking situations that parents normally permit their adolescents to engage in.
MeSH term(s)	Adolescent ; Alcohol Drinking ; Factor Analysis, Statistical ; Humans ; Parents ; Prospective Studies ; Surveys and Questionnaires ; Underage Drinking/prevention & control
Language	English
Publishing date	2021-02-04
Publishing country	England
Document type	Journal Article ; Randomized Controlled Trial
ZDB-ID	197618-7
ISSN	1873-6327 ; 0306-4603
ISSN (online)	1873-6327
ISSN	0306-4603
DOI	10.1016/j.addbeh.2021.106855
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Article ; Online: Examining engagement with and acceptability and usability of REAL Parenting: A brief online parent-based intervention to reduce alcohol use and consequences among high school students.

Glenn, Shannon D / Turrisi, Robert / Hecht, Michael L / Russell, Michael A / Ray, Anne E

Addictive behaviors

2023 Volume 143, Page(s) 107673

Abstract: This study is a formative assessment of REAL Parenting (RP): a brief, digital intervention for parents of high school students that encourages parent-teen communication about alcohol and, in turn, aims to prevent teen alcohol use. The aims of this study ... ...

Abstract	This study is a formative assessment of REAL Parenting (RP): a brief, digital intervention for parents of high school students that encourages parent-teen communication about alcohol and, in turn, aims to prevent teen alcohol use. The aims of this study were to describe engagement with, and acceptability and usability of RP; and to explore the relationship of these measures with each other and with short-term outcomes. Participants were 160 parents randomly assigned to the treatment group who received RP as part of a randomized pilot trial (M
MeSH term(s)	Adolescent ; Humans ; Female ; Middle Aged ; Male ; Parenting ; Alcohol Drinking/prevention & control ; Students ; Self Report ; Communication
Language	English
Publishing date	2023-02-28
Publishing country	England
Document type	Randomized Controlled Trial ; Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	197618-7
ISSN	1873-6327 ; 0306-4603
ISSN (online)	1873-6327
ISSN	0306-4603
DOI	10.1016/j.addbeh.2023.107673
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Book ; Online: Optimal Transport-based Adaptation in Dysarthric Speech Tasks

Turrisi, Rosanna / Badino, Leonardo

2021

Abstract: In many real-world applications, the mismatch between distributions of training data (source) and test data (target) significantly degrades the performance of machine learning algorithms. In speech data, causes of this mismatch include different acoustic ...

Abstract	In many real-world applications, the mismatch between distributions of training data (source) and test data (target) significantly degrades the performance of machine learning algorithms. In speech data, causes of this mismatch include different acoustic environments or speaker characteristics. In this paper, we address this issue in the challenging context of dysarthric speech, by multi-source domain/speaker adaptation (MSDA/MSSA). Specifically, we propose the use of an optimal-transport based approach, called MSDA via Weighted Joint Optimal Transport (MSDA-WDJOT). We confront the mismatch problem in dysarthria detection for which the proposed approach outperforms both the Baseline and the state-of-the-art MSDA models, improving the detection accuracy of 0.9% over the best competitor method. We then employ MSDA-WJDOT for dysarthric speaker adaptation in command speech recognition. This provides a Command Error Rate relative reduction of 16% and 7% over the baseline and the best competitor model, respectively. Interestingly, MSDA-WJDOT provides a similarity score between the source and the target, i.e. between speakers in this case. We leverage this similarity measure to define a Dysarthric and Healthy score of the target speaker and diagnose the dysarthria with an accuracy of 95%.
Keywords	Computer Science - Sound ; Computer Science - Computation and Language ; Electrical Engineering and Systems Science - Audio and Speech Processing
Subject code	006
Publishing date	2021-04-06
Publishing country	us
Document type	Book ; Online
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Article ; Online: Persistence of partner-assisted skin self-examination supported by 'being in this together': a randomized trial.

Robinson, J K / Abou-El-Seoud, D / Reavy, R / Turrisi, R / Mallett, K A

The British journal of dermatology

2020 Volume 183, Issue 3, Page(s) 571–573

MeSH term(s)	Humans ; Melanoma ; Self-Examination
Language	English
Publishing date	2020-04-23
Publishing country	England
Document type	Letter ; Randomized Controlled Trial ; Research Support, N.I.H., Extramural
ZDB-ID	80076-4
ISSN	1365-2133 ; 0007-0963
ISSN (online)	1365-2133
ISSN	0007-0963
DOI	10.1111/bjd.19048
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