4.7 Article

Evaluation of an ontology-based system for computerized cognitive rehabilitation

Journal

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
Volume 115, Issue -, Pages 64-72

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.ijmedinf.2018.04.005

Keywords

Computerized cognitive rehabilitation; Parkinson disease; Ontology-based system; Evaluation; Clinical trial

Ask authors/readers for more resources

Objectives: This paper describes the results of a randomized clinical trial about the effectiveness of a computerized rehabilitation treatment on a sample of 31 patients affected by Parkinson disease. Methods: Computerized exercises were administered by the therapists to the intervention group (n= 17) through the CoRe tool, which automatically generates a big variety of exercises leveraging on a stimuli set (words, sounds and images) organized into a dedicated ontology. A battery of standard neuropsychological tests was performed for patients' assessment at baseline, after the treatment (that lasted 1 month), and after 6 months from the treatment stop. The control group underwent a sham intervention. Results: Results show a statistically significant clinical benefit from computerized rehabilitation with respect to sham treatment. For the intervention group, response time and response accuracy were integrated into a weighted score that accounts also for the specific cognitive burden of each exercise. Differently from the control group, the majority of patients in the intervention group showed an improvement in that score, more marked in the first week of treatment, and which lasts for the entire treatment period, which could account both for a quick learning effect and for an improvement of cognitive conditions. Good usability of CoRe, already observed in previous studies, was confirmed by the present trial, where the percentage of protocol completion in the intervention group is very high (all but one patient are above 90%). Conclusions: The CoRe system showed to be effective to improve some cognitive abilities in patients with Parkinson disease. However, after the end of the training, the benefit is hardly maintained over time. These findings support the implementation of CoRe in the clinical routine and the continuation of the treatment after discharge through the use of a homecare version of the system.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Pharmacology & Pharmacy

Montelukast Use Decreases Cardiovascular Events in Asthmatics

Malvina Hoxha, Calogero C. Tedesco, Silvana Quaglin, Visar Malaj, Linda Pustina, Valerie Capra, Jilly F. Evans, Angelo Sala, G. Enrico Rovati

Summary: The observational retrospective study suggests that the use of montelukast may be protective against incident cardiac ischemic events in older asthmatic patients. Analyses indicate that exposure to montelukast remains a significant protective factor for incident ischemic events, leading to a considerable risk reduction. The event-free Kaplan-Meier survival curves confirm the lower cardiovascular event incidence in patients exposed to montelukast.

FRONTIERS IN PHARMACOLOGY (2021)

Article Clinical Neurology

Cognitive Telerehabilitation for Older Adults With Neurodegenerative Diseases in the COVID-19 Era: A Perspective Study

Sara Bernini, Fabrizio Stasolla, Silvia Panzarasa, Silvana Quaglini, Elena Sinforiani, Giorgio Sandrini, Tomaso Vecchi, Cristina Tassorelli, Sara Bottiroli

Summary: The global COVID-19 pandemic has led to significant changes in healthcare organizations, with remote communication technologies emerging as effective solutions. HomeCoRe, an innovative home cognitive rehabilitation software, offers support for patients with neurodegenerative diseases, such as mild cognitive impairment and early dementia.

FRONTIERS IN NEUROLOGY (2021)

Article Medicine, General & Internal

Diagnostic Delay of Pulmonary Embolism in COVID-19 Patients

Federica Melazzini, Margherita Reduzzi, Silvana Quaglini, Federica Fumoso, Marco Vincenzo Lenti, Antonio Di Sabatino

Summary: This study aimed to assess the diagnostic delay of PE in COVID-19 patients and found a significant correlation between overall diagnostic delay and physician-related delay. Factors such as fever, respiratory symptoms, and high levels of lactate dehydrogenase were related to the delay in diagnosis.

FRONTIERS IN MEDICINE (2021)

Article Medicine, General & Internal

In Patients with Early Peripheral Psoriatic Arthritis Baseline C-Reactive Protein, Pain and Ultrasound-Detected Synovitis Predict Subsequent Treatment with ts/bDMARDs. A Retrospective Analysis

Garifallia Sakellariou, Silvana Quaglini, Serena Bugatti, Francesca Bobbio-Pallavicini, Vittorio Gabba, Carlomaurizio Montecucco

Summary: This retrospective study identified predictors of access to targeted synthetic and biologic disease-modifying anti-rheumatic drugs (ts/bDMARDs) for patients with psoriatic arthritis (PsA). C-reactive protein, Visual Analogue Scale (VAS) pain, and synovial power Doppler (PD) were found to be significant predictors, providing evidence for the need for more intensive monitoring and treatment escalation in early peripheral PsA patients.

JOURNAL OF CLINICAL MEDICINE (2021)

Article Health Care Sciences & Services

Cost-utility of two minimally-invasive surgical techniques for operable oropharyngeal cancer: transoral robotic surgery versus transoral laser microsurgery

Enea Parimbelli, Federico Soldati, Lorry Duchoud, Gian Luca Armas, John de Almeida, Martina Broglie, Silvana Quaglini, Christian Simon

Summary: Cost-utility analysis was conducted to compare TORS and TLM for the treatment of oropharyngeal cancers. The findings indicate that non-robotic endoscopic surgery (TLM) is more cost-effective than robotic endoscopic surgery (TORS), although this advantage is sensitive to factors such as the number of re-operations and adjuvant treatments.

BMC HEALTH SERVICES RESEARCH (2021)

Article Physiology

Effects of Circadian Phase Tailored Light Therapy on Sleep, Mood, and Cognition in Alzheimer's Disease: Preliminary Findings in a Pivotal Study

Riccardo Cremascoli, Davide Sparasci, Gianluca Giusti, Stefania Cattaldo, Elisa Prina, Fausto Roveta, Francesco Bruno, Cristina Ghezzi, Silvia Cerri, Marta Picascia, Sara Bernini, Elena Sinforiani, Michele Terzaghi, Lorenzo Priano, Alessandro Mauro, Raffaele Manni

Summary: This study investigates the effects of light therapy on sleep quality, mood, and cognition in patients with mild/moderate Alzheimer's disease. It is shown that light therapy tailored to the individual's circadian phase can induce a circadian phase shift, improve subjective sleep quality and cognitive performance, and shorten the time between dim light melatonin onset and falling asleep.

FRONTIERS IN PHYSIOLOGY (2022)

Article Clinical Neurology

Vascular Lesions and Brain Atrophy in Alzheimer's, Vascular and Mixed Dementia: An Optimized 3T MRI Protocol Reveals Distinctive Radiological Profiles

Matteo Cotta Ramusino, Paolo Vitali, Nicoletta Anzalone, Luca Melazzini, Francesca Paola Lombardo, Lisa Maria Farina, Sara Bernini, Alfredo Costa

Summary: This study aims to investigate the distribution of vascular lesions in patients with Alzheimer's, vascular or mixed dementia and detect any distinctive neuroradiological profiles. The findings show that white and grey matter lesions predominate in vascular and mixed dementia, whereas deep and juxtacortical microbleeds predominate in mixed dementia.

CURRENT ALZHEIMER RESEARCH (2022)

Article Psychiatry

Pre-existing mental health disorders and fear of COVID-19 pandemic: Data from a phone survey in community-dwelling older adults recruited in the NutBrain study

Elena Perdixi, Sara Bernini, Silvia Conti, Nithiya Jesuthasan, Matteo Cotta Ramusino, Alfredo Costa, Federica Prinelli

Summary: COVID-19 has resulted in a parallel epidemic of fear, anxiety, depression, stress, and frustration, particularly among vulnerable individuals such as older adults and those with pre-existing mental health disorders. This study investigated the association between depressive symptoms, mild cognitive impairment (MCI), and fear of COVID-19 among older adults. The results showed that older adults with MCI had a higher fear of being infected themselves, while those with depressive symptoms had a higher fear of contagion for family members. Impaired executive cognitive function was positively associated with increased fear. These findings highlight the importance of addressing the psychological effects of the COVID-19 outbreak, especially among vulnerable populations.

FRONTIERS IN PSYCHIATRY (2022)

Proceedings Paper Computer Science, Interdisciplinary Applications

V-care: An Application to Support Lifestyle Improvement in Children with Obesity

Cristiana Larizza, Silvana Quaglini, Michelangelo Chasseur, Valentina Bevolo, Gianvincenzo Zuccotti, Valeria Calcaterra

Summary: Childhood obesity is a growing concern, as it increases the risk of developing various diseases throughout life. This study aims to reduce childhood obesity through an educational program delivered via a mobile application. Unique aspects of this approach include involving families in the program and designing it based on psychological/behavioral change theories to maximize patient adherence. A pilot study evaluating usability and acceptability on a Likert scale from 1 to 5 yielded encouraging results, with mean scores above 3.

CARING IS SHARING-EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION-PROCEEDINGS OF MIE 2023 (2023)

Article Urology & Nephrology

Beyond ISN/RPS Lupus Nephritis Classification: Adding Chronicity Index to Clinical Variables Predicts Kidney Survival

Gabriella Moroni, Giulia Porata, Francesca Raffiotta, Silvana Quaglini, Giulia Frontini, Lucia Sacchi, Valentina Binda, Marta Calatroni, Francesco Reggiani, Giovanni Banfi, Claudio Ponticelli

Summary: This study aims to investigate whether the activity and chronicity indices can predict the development of kidney function impairment (KFI) in lupus nephritis (LN) patients, and to identify histologic features associated with KFI. The results showed that the chronicity index and its components were significantly correlated with kidney function impairment, while the activity index showed no significant correlation. Additionally, clinical and histologic features such as serum creatinine, arterial hypertension, chronic glomerular lesions, and delay in kidney biopsy were found to be independent predictors of KFI.

KIDNEY360 (2022)

Article Geriatrics & Gerontology

A double-blind randomized controlled trial combining cognitive training (CoRe) and neurostimulation (tDCS) in the early stages of cognitive impairment

Claudia Rodella, Sara Bernini, Silvia Panzarasa, Elena Sinforiani, Marta Picascia, Silvana Quaglini, Elena Cavallini, Tomaso Vecchi, Cristina Tassorelli, Sara Bottiroli

Summary: The study evaluated the effectiveness of a combined treatment protocol involving computerized cognitive training and anodal transcranial direct current stimulation in patients with early cognitive impairment. Results showed improvements in working memory and attention/processing speed in the treatment group compared to the control group, with the treatment group maintaining stability at 6 months. Age, mood, and baseline scores were found to play a role in predicting treatment effects.

AGING CLINICAL AND EXPERIMENTAL RESEARCH (2022)

Meeting Abstract Cardiac & Cardiovascular Systems

MONTELUKAST AND CARDIOVASCULAR RISK IN ASTHMATICS

M. Hoxha, V. Malaj, C. C. Tedesco, S. Quaglini, V. Capra, A. Sala, G. E. Rovati

ATHEROSCLEROSIS (2021)

Article Geriatrics & Gerontology

A double-blind randomized controlled trial of the efficacy of cognitive training delivered using two different methods in mild cognitive impairment in Parkinson's disease: preliminary report of benefits associated with the use of a computerized tool

Sara Bernini, Silvia Panzarasa, Marica Barbieri, Elena Sinforiani, Silvana Quaglini, Cristina Tassorelli, Sara Bottiroli

Summary: This study aimed to evaluate the efficacy of computer-based cognitive training in patients with Parkinson's disease and mild cognitive impairment, showing that compared to traditional paper-and-pencil cognitive training, computer-based cognitive training led to significant improvements in cognitive performance, attention, and executive functions in patients. Further follow-up assessments are being conducted to verify the retention of these gains and the potential delay in progression to PD-dementia.

AGING CLINICAL AND EXPERIMENTAL RESEARCH (2021)

Review Computer Science, Information Systems

Research related to the diagnosis of prostate cancer based on machine learning medical images: A review

Xinyi Chen, Xiang Liu, Yuke Wu, Zhenglei Wang, Shuo Hong Wang

Summary: The current research on the diagnosis and staging of prostate cancer using machine learning and deep learning is in its infancy, with low accuracy in diagnosis and classification. There is a lack of studies on CT images and ultrasound images.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2024)

Article Computer Science, Information Systems

Patients' perceptions, experiences, and satisfaction with e-prescribing system: A cross-sectional study

Jahanpour Alipour, Roxana Sharifian, Javid Dehghan Haghighi, Mehrnaz Hashemzehi, Afsaneh Karimi

Summary: This study investigated patients' perceptions of the e-prescribing system. The majority of patients were aware of e-prescribing, and preferred it over traditional prescriptions. Patients reported overall positive satisfaction and relatively positive perceptions and experiences with the e-prescribing system.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2024)

Review Computer Science, Information Systems

Sharpening clinical decision support alert and reminder designs with MINDSPACE: A systematic review

Sarang Hashemi, Lu Bai, Shijia Gao, Frada Burstein, Kate Renzenbrink

Summary: This study demonstrates the value of the MINDSPACE framework in designing clinical decision support alerts and reminders. The framework addresses the challenges faced by designers in identifying behavioral effects relevant to alert and reminder designs.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2024)

Review Computer Science, Information Systems

Conversational agents for depression screening: A systematic review

Ivan Otero-Gonzalez, Moises R. Pacheco-Lorenzo, Manuel J. Fernandez-Iglesias, Luis E. Anido-Rifon

Summary: This study explores the applications of conversational agents in detecting mental health disorders, specifically depression screening. The findings indicate that conversational agents are effective in detecting depression, and voice interaction is the future direction of development.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2024)

Article Computer Science, Information Systems

Assessing the relevance of mental health factors in fibromyalgia severity: A data-driven case study using explainable AI

Pedro A. Moreno-Sanchez, Ruben Arroyo-Fernandez, Elisabeth Bravo-Esteban, Asuncion Ferri-Morales, Mark van Gils

Summary: This study analyzed data from fibromyalgia patients to assess the impact of mental health factors on fibromyalgia severity compared to pain factors. The findings suggest that mental health factors are more relevant for fibromyalgia severity.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2024)

Article Computer Science, Information Systems

District health information system (DHIS2) as integrated antimicrobial resistance surveillance platform: An exploratory qualitative investigation of the one health stakeholders' viewpoints in Ethiopia

Muhammad Asaduzzaman, Zeleke Mekonnen, Ernst Kristian Rodland, Sundeep Sahay, Andrea Sylvia Winkler, Christoph Gradmann

Summary: Our study explored the perspectives of stakeholders in Jimma, Ethiopia on the use of DHIS2 as a One Health Antimicrobial Resistance (AMR) surveillance platform. The findings suggest that DHIS2 has the potential to be a user-friendly and acceptable platform for OH-AMR surveillance. Despite some challenges, most participants perceived DHIS2 as suitable for OH-AMR surveillance and expressed their willingness to contribute in their current professional roles.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2024)

Article Computer Science, Information Systems

Benchmarking usability of patient portals in Estonia, Finland, Norway, and Sweden

Sari Kujala, Saija Simola, Bo Wang, Hedvig Soone, Josefin Hagstrom, Annika Barkas, Iiris Horhammer, Asa Cajander, Asbjorn Johansen Fagerlund, Bridget Kane, Anna Kharko, Eli Kristiansen, Jonas Moll, Hanife Rexphepi, Maria Hagglund, Monika A. Johansen

Summary: This study benchmarks the usability of national patient portals in Estonia, Finland, Norway, and Sweden using a mixed-methods survey approach. The results indicate variations in usability across countries and highlight the influence of very positive and very negative experiences on usability ratings. The survey approach proves effective in evaluating user experiences and identifying areas for improvement and desirable features.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2024)

Article Computer Science, Information Systems

A digital platform to support communication and organization in the general practice: Evaluation of healthcare usage and costs using claims data of a health insurer

R. F. Willemsen, J. J. Aardoom, O. P. van der Galien, S. van de Vijver, N. H. Chavannes, A. Versluis

Summary: This study evaluated healthcare usage and costs of patients using a digital platform, showing an increase in GP consultations and costs after implementation.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2024)

Article Computer Science, Information Systems

Development and feasibility testing of an artificially intelligent chatbot to answer immunization-related queries of caregivers in Pakistan: A mixed-methods study

Danya Arif Siddiqi, Fatima Miraj, Humdiya Raza, Owais Ahmed Hussain, Mehr Munir, Vijay Kumar Dharma, Mubarak Taighoon Shah, Ali Habib, Subhash Chandir

Summary: This study developed and evaluated an AI chatbot in local language for providing immunization information in low-resource, low-literacy settings in Pakistan. The results showed that the chatbot was feasible and acceptable, meeting the needs of caregivers and reducing the workload of helpline operators.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2024)

Article Computer Science, Information Systems

HeNeCOn: An ontology for integrative research in Head and Neck cancer

Liss Hernandez, Estefania Estevez-Priego, Laura Lopez-Perez, Maria Fernanda Cabrera-Umpierrez, Maria Teresa Arredondo, Giuseppe Fico

Summary: HeNeCOn is a reusable, extendible and standardized ontology that provides a clinically reliable data model for Head and Neck Cancer. It consists of 502 classes and 283 medical terms with detailed relations between them, allowing for information extraction and knowledge management.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2024)

Article Computer Science, Information Systems

A pediatric telecardiology system that facilitates integration between hospital-based services and community-based primary care

Savina Mannarino, Valeria Calcaterra, Giulia Fini, Andrea Foppiani, Antonio Sanzo, Martina Pisarra, Gabriele Infante, Marta Marsilio, Irene Raso, Sara Santacesaria, Gianvincenzo Zuccotti

Summary: This study introduces an innovative pediatric telecardiology system, seamlessly integrated with a hospital telemedicine platform, which enhances patient management in the community. The results demonstrate the system's value as a diagnostic tool to facilitate the execution, transmission, and reporting of ECG data between primary care pediatrician clinics and the hospital.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2024)

Article Computer Science, Information Systems

Longitudinal dynamic clinical phenotypes of in-hospital COVID-19 patients across three dominant virus variants in New York

Matthew Ho, Todd J. Levy, Ioannis Koulas, Kyriaki Founta, Kevin Coppa, Jamie S. Hirsch, Karina W. Davidson, Alex C. Spyropoulos, Theodoros P. Zanos

Summary: This study identified clinical phenotypes of hospitalized COVID-19 patients and investigated their longitudinal dynamics throughout the pandemic. Four distinct clinical phenotypes were associated with different mortality rates and showed variability across different viral variants. Factors such as sex, race/ethnicity, and treatment modalities revealed significant differences between the observed phenotypes. This methodology has the potential to guide evidence-based treatment strategies in a dynamic fashion.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2024)

Review Computer Science, Information Systems

Interdisciplinary collaboration in critical care alarm research: A bibliometric analysis

Louis Agha-Mir-Salim, Lucas McCullum, Enrico Dahnert, Yanick-Daniel Scheel, Ainsley Wilson, Marianne Carpio, Carmen Chan, Claudia Lo, Lindsay Maher, Corinna Dressler, Felix Balzer, Leo Anthony Celi, Akira-Sebastian Poncette, Michele M. Pelter

Summary: Alarm fatigue is a significant issue in the intensive care unit, and collaboration between nurses and engineers is crucial for finding solutions. However, the current research lacks sufficient involvement of nurses, leading to a lack of successful real-world solutions.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2024)

Review Computer Science, Information Systems

Home-based exercise interventions delivered by technology in older adults: A scoping review of technological tools usage

Ana Raquel Costa-Brito, Antonio Bovolini, Maria Rua-Alonso, Claudia Vaz, Juan Francisco Ortega-Moran, J. Blas Pagador, Carolina Vila-Cha

Summary: This scoping review investigates the use of home-based technological tools to improve physical function in older adults. The majority of studies suggest high levels of technology usage and positive health outcomes. However, the lack of international consensus on technology usage measures and the exclusion of older adults without technology ownership or experience may limit the findings.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2024)