Towards a Deeper Understanding: Utilizing Machine Learning to Investigate the Association between Obesity and Cognitive Decline-A Systematic Review.

Background/Objectives: Several studies have shown a relation between obesity and cognitive decline, highlighting a significant global health challenge. In recent years, artificial intelligence (AI) and machine learning (ML) have been integrated into clinical practice for analyzing datasets to identify new risk factors, build predictive models, and develop personalized interventions, thereby providing useful information to healthcare professionals. This systematic review aims to evaluate the potential of AI and ML techniques in addressing the relationship between obesity, its associated health consequences, and cognitive decline. Methods: Systematic searches were performed in PubMed, Cochrane, Web of Science, Scopus, Embase, and PsycInfo databases, which yielded eight studies. After reading the full text of the selected studies and applying predefined inclusion criteria, eight studies were included based on pertinence and relevance to the topic. Results: The findings underscore the utility of AI and ML in assessing risk and predicting cognitive decline in obese patients. Furthermore, these new technology models identified key risk factors and predictive biomarkers, paving the way for tailored prevention strategies and treatment plans. Conclusions: The early detection, prevention, and personalized interventions facilitated by these technologies can significantly reduce costs and time. Future research should assess ethical considerations, data privacy, and equitable access for all.

The Effects of Home Automation on Personal and Social Autonomies in Spinal Cord Injury Patients: A Pilot Study.

Background: Spinal cord injury (SCI) is a severe and progressive neurological condition caused by trauma to the nervous system, resulting in lifelong disability and severe comorbidities. This condition imposes serious limitations on everyday life, interfering with patients' social lives and compromising their quality of life, psychological well-being, and daily living activities. Rehabilitation is essential to helping SCI patients gain more independence in their daily routines. Home automation (HA) systems provide personalized support to users, allowing them to manage various aspects of their living environment, promoting independence and well-being. This study aims to demonstrate the efficacy of an HA system in enhancing personal and social autonomies in SCI patients, resulting in improved cognitive function and reduced anxiety-depressive symptoms compared to traditional training. Methods: We enrolled 50 SCI patients undergoing neurorehabilitation at IRCCS Centro Neurolesi (Messina, Italy). These patients were randomly assigned to one of two groups: a control group (CG) and an experimental group (EG). The CG received traditional training, while the EG underwent HA training. We evaluated the patients before (T0) and after (T1) rehabilitation using various scales, including the Montreal Cognitive Assessment (MoCA), the Beck Depression Inventory (BDI), the Hamilton Rating Scale for Anxiety (HRS-A), the 12-Item Short-Form Survey (SF-12), the Functional Independence Measure (FIM), Activities of Daily Living (ADL), Instrumental Activities of Daily Living Scale (IADL), and the EQ-5D-5L. Results: The effect of the experimental treatment showed an improvement in all patients test scores in the EG, especially regarding cognitive functions, mood disorders, activities of daily living, and quality of life. Conclusion: Our findings suggest that HA may be effective in improving daily autonomy and, in turn, alleviating mood disorders and enhancing psychological well-being.

The Lack of Ad Hoc Neuropsychological Assessment in Adults with Neurofibromatosis: A Systematic Review.

Background: Neurofibromatosis Type 1 (NF1) is a genetic autosomal dominant disorder that affects both the central and peripheral nervous systems. Children and adolescents with NF1 commonly experience neuropsychological, motor, and behavioral deficits. The cognitive profile hallmark of this disorder includes visuospatial and executive function impairments. These cognitive disorders may persist into adulthood. This study aims to analyze previous research studies that have described cognitive dysfunctions in adults with NF1. The purpose of this analysis is to review the neuropsychological and psychological assessment methods used. Methods: A total of 327 articles were identified based on the search terms in their titles and abstracts. The evaluation was conducted by scrutinizing each article's title, abstract, and text. Results: Only 16 articles were found to be eligible for inclusion based on the pre-defined criteria. The selected studies primarily focus on the development of diagnostic protocols for individuals with NF1. Conclusions: The management of NF1 disease requires a multidisciplinary approach to address symptoms, preserve neurological functions, and ensure the best possible quality of life. However, cognitive impairment can negatively affect psychological well-being. This study suggested that cognitive functions in NF1 patients were not tested using specific measures, but rather were evaluated through intelligence scales. Additionally, the findings revealed that there is no standardized neuropsychological assessment for adults with NF1. To address this gap, it would be helpful to create a specific neuropsychological battery to study cognitive function in NF1 patients during clinical studies. This battery could also serve as a tool to design models for cognitive rehabilitation by using reliable and sensitive measures of cognitive outcomes.

Applications of Artificial Intelligence in the Neuropsychological Assessment of Dementia: A Systematic Review.

In the context of advancing healthcare, the diagnosis and treatment of cognitive disorders, particularly Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), pose significant challenges. This review explores Artificial Intelligence (AI) and Machine Learning (ML) in neuropsychological assessment for the early detection and personalized treatment of MCI and AD. The review includes 37 articles that demonstrate that AI could be an useful instrument for optimizing diagnostic procedures, predicting cognitive decline, and outperforming traditional tests. Three main categories of applications are identified: (1) combining neuropsychological assessment with clinical data, (2) optimizing existing test batteries using ML techniques, and (3) employing virtual reality and games to overcome the limitations of traditional tests. Despite advancements, the review highlights a gap in developing tools that simplify the clinician's workflow and underscores the need for explainable AI in healthcare decision making. Future studies should bridge the gap between technical performance measures and practical clinical utility to yield accurate results and facilitate clinicians' roles. The successful integration of AI/ML in predicting dementia onset could reduce global healthcare costs and benefit aging societies.

Paving the Way for Predicting the Progression of Cognitive Decline: The Potential Role of Machine Learning Algorithms in the Clinical Management of Neurodegenerative Disorders.

Alzheimer's disease (AD) is the most common form of neurodegenerative disorder. The prodromal phase of AD is mild cognitive impairment (MCI). The capacity to predict the transitional phase from MCI to AD represents a challenge for the scientific community. The adoption of artificial intelligence (AI) is useful for diagnostic, predictive analysis starting from the clinical epidemiology of neurodegenerative disorders. We propose a Machine Learning Model (MLM) where the algorithms were trained on a set of neuropsychological, neurophysiological, and clinical data to predict the diagnosis of cognitive decline in both MCI and AD patients. METHODS: We built a dataset with clinical and neuropsychological data of 4848 patients, of which 2156 had a diagnosis of AD, and 2684 of MCI, for the Machine Learning Model, and 60 patients were enrolled for the test dataset. We trained an ML algorithm using RoboMate software based on the training dataset, and then calculated its accuracy using the test dataset. RESULTS: The Receiver Operating Characteristic (ROC) analysis revealed that diagnostic accuracy was 86%, with an appropriate cutoff value of 1.5; sensitivity was 72%; and specificity reached a value of 91% for clinical data prediction with MMSE. CONCLUSION: This method may support clinicians to provide a second opinion concerning high prognostic power in the progression of cognitive impairment. The MLM used in this study is based on big data that were confirmed in enrolled patients and given a credibility about the presence of determinant risk factors also supported by a cognitive test score.

Traumatic Brain Injury and Related Antisocial Behavioral Outcomes: A Systematic Review.

Background and Objectives: Higher level of aggression and antisocial behavior have been found in the period following head trauma. These changes are attributable to specific brain alterations that generally involved frontal lobe, insula and limbic system. A descriptive review was conducted on the specificity of aggressive behavior in relation to traumatic brain injury by evaluating numerous variables, focusing on age at the time of trauma and neuroimaging studies. Materials and Methods: We searched on PubMed and the Web of Science databases to screen references of included studies and review articles for additional citations. From an initial 738 publications, only 27 met the search criteria of describing the relationship between aggression, brain alterations and traumatic brain injury. Results: These findings showed that traumatic brain injury (TBI) is related to changes in behavior, personality and mood. Conclusions: The development of aggressive and criminal behavior is associated with multiple factors, including the etiology of injury, environmental, psychosocial and personality factors and age at the time of trauma.

The Role of Telemedicine in the Treatment of Cognitive and Psychological Disorders in Parkinson's Disease: An Overview.

BACKGROUND: This literature review evaluates the use and efficacy of telemedicine in cognitive and psychological treatment in Parkinson's disease. METHODS: Studies performed between 2016 and 2021 that fulfilled inclusion criteria were selected from PubMed, Scopus, Cochrane, and Web of Science databases. All articles were evaluated by title, abstract, and text. All studies that examined the cognitive and psychological/psychotherapy treatment of patients with Parkinson's disease by telemedicine were included. RESULTS: Telehealth improved cognitive status and emotional/behavioral disorders in this population, and had positive effects on the patients' and caregivers' quality of life. CONCLUSIONS: Our literature review supports the development and efficacy of cognitive and psychological treatment with telemedicine, but the methodology of the study must be reviewed considering its limitations so as to highlight the benefits and risks of treatment via telemedicine.

The effect of Computer Assisted Rehabilitation Environment (CAREN) in cognitive impairment and coping strategies in Parkinson's disease: a preliminary study.

Parkinson's disease is a neurodegenerative disorder characterized by different motor, vegetative, behavioral, and cognitive impairments, with worsening quality of life. Virtual reality devices have given promising results in neurorehabilitation as they can provide multisensory stimulation in a realistic environment. This study aims to test the efficacy of virtual reality training by using Computer Assisted Rehabilitation Environment in cognitive impairment in a sample of PD. 31 patients affected by PD were enrolled. All PD patients underwent 24 sessions of Computer Assisted Rehabilitation Environment training. The participants were assessed at baseline (T0) and after two months (T1). Our results suggested that Computer Assisted Rehabilitation Environment training may be effective in the cognitive and emotional domains, particularly by improving executive function, anxiety, and depressive symptoms. These changes have helped to improve self-efficacy and coping strategies. These results indicate greater cognitive and physical effort to overcome stressors. Our results show that Computer Assisted Rehabilitation Environment training was beneficial in improving cognitive functions. Longer duration training may be especially beneficial for patients with mild cognitive impairment. Our findings open the door to tailored personalized treatments based on the patient's motor and cognitive profiles.

Importance of telemedicine in mild cognitive impairment and Alzheimer disease patients population during admission to emergency departments with COVID-19.

In March 2020, the World Health Organization declared a global pandemic due to the new coronavirus SARS-CoV-2, and several governments have planned a national quarantine to control the spread of the virus. Acute psychological effects during hospitalization in frail elderly individuals with special needs, such as patients with dementia, have been little studied. The greatest distress manifested by these kinds of patients was isolation from their families during hospitalization. Thus, structured video call interventions were carried out to family caregivers of patients diagnosed with dementia during their hospitalization in the COVID-19 ward. The purpose of this quasi-experimental study was to assess changes in cognitive and behavioral symptoms in both patients and caregivers. All study participants underwent psychological assessments. Specifically, the psychological well-being states of patients and their caregivers were measured at admission (T0) and discharge (T1) using psychometric tests and clinical scales. Each participant received an electronic device to access video calls in addition meetings were scheduled with the psychologist and medical team to keep caregivers updated on the health status of their relatives. A psychological support and cognitive rehabilitation service was also provided. Significant differences were found in all clinical variables of the caregiver group. Results showed a significant relationship in the quality of life score between the patient and caregiver groups. The results of this study has highlighted the importance of maintaining significantly effective relationships during the hospitalization period of patients admitted to COVID wards.

Hypnotherapy as a Nonpharmacological Treatment for the Psychological Symptoms of Multiple Sclerosis.

Context: Stress and chronic pain are the factors that most influence the quality of life and well-being of people with MS, and 90% of adults with MS suffer from persistent fatigue. These symptoms can be associated with other disorders such as depression, and drug treatments provide inadequate comfort for most people with them. Objective: The study intended to examine the impact of hypnosis and hypnotherapy in the management of symptoms of people with multiple sclerosis (MS), such as stress, chronic pain, an inferior quality of life, and a lack of psychological well-being. Design: The research team performed a systematic narrative review by searching the PubMed and Web of Science databases, including review articles and other studies for additional citations. Setting: The study was conducted at our Scientific Institute for Research (IRCCS) in Messina. Results: Only 14 of 121 publications met the inclusion criteria and were selected. Hypnotic treatment is an effective therapy that has beneficial impacts on the intensity of perceived pain, psychological well-being, mood disorders, and fatigue, and in addition, it significantly improves physical functioning in MS patients. The same effects haven't been obtained with other nonpharmacological techniques. Conclusion: Hypnosis is an appropriate psychological therapy for the management of MS patients' symptoms.

Use of Virtual Reality in Children with Dyslexia.

In recent years, the study of dyslexia has seen rapid progress in definition and classification, neuropsychological correlates, neurobiological factors, and intervention. However, there are few studies on how virtual reality can affect improving cognitive domains and cross-cutting pedagogical skills. We, therefore, tested intervention through the use of a virtual reality rehabilitation system (VRRS) in children with dyslexia. Twenty-eight patients diagnosed with dyslexia were enrolled in this study. One-half underwent conventional neuropsychological treatment, and the other half performed VR neurorehabilitation training using the VRRS. All patients were evaluated by neuropsychological assessment at baseline (T0) and at the end of the protocol (T1). The assessment included the administration of the Wechsler Intelligence Scale for Children-IV and the Italian Battery for the Assessment of Dyslexia and Dysorthography. Our results showed a significant difference in word-reading test scores as well as in homophonic writing. In addition, treatment type was found to affect some domains of the WISC. We believe that the VRRS led to improved outcomes through the use of VR, which encourages active exploration, improves engagement, and provides motivation and enjoyment, allowing longer training sessions and improving treatment adherence.

Effects of COVID-19 in Endocrine Patients: A Cross-Sectional Study.

Introduction: Home confinement due to COVID-19 lockdown led to changes in daily routines, including social interactions, as well as restrictions on the possibility of playing sports and eating habits. These changes could have a greater impact on patients suffering from chronic diseases, such as endocrine patients, especially in emotional and behavioral dimensions. Materials and Methods: This study aimed to assess the effects of COVID-19-induced quarantine on daily habits in a group of patients with endocrine disorders, focusing on food consumption, eating habits and sleep during the confinement. Eighty-five endocrine patients were enrolled. A structured interview was administered to investigate socio-demographic information, general medical conditions, and habits adopted during quarantine. All patients underwent the Spielberger State Anxiety Inventory (STAI-Y1) to assess state anxiety. Result: Results showed that subjects mainly had a sedentary lifestyle. We found a significant increase in the number of cigarettes in smokers and in meals consumed during confinement, as well as a high rate of sleep disturbance, especially insomnia. Notably, physical well-being resulted to be a predictive factor (OR = 0.38; 95%CI = [0.95,0.66]), whereas anxiety was a risk factor for sleep disorder (OR = 1.22; 95%CI = [1.10,1.40]), as was working in public and private offices and being a student. Conclusions: Changes in daily habits were likely due to the alterations in routine, resulting in greater boredom and inactivity during the day. In addition, future research should focus on the importance of patient adherence to therapy.

Feasibility, Usability, and Customer Satisfaction of the Tele-COVID19 Project, Sicilian Model.

Background and Objectives: In March 2020, COVID-19 pandemic affected the world. All countries, to limit viral transmission, imposed quarantine. This emergency exerted personal, social, economic, and psychological impact on people. For health systems, was needed to create alternative care pathways. Telemedicine can be helpful to reduce isolation, provide health care services, and monitor virus infections. Italian regions, including Sicily, have activated telemedicine services for management of patients with COVID-19. Objective: The purpose of study is to describe a Sicilian telemedicine model for management of COVID-19 patients, showing results on feasibility, usability and quality of service and patient satisfaction. Materials and Methods: This is a descriptive exploratory study on a telemedicine service for residents in Messina infected by COVID-19. It included monitoring of vital signs and specialist consultations (i.e., doctor, psychologists, social workers, and nutritionist biologists). Results: More than twenty percent (23.8%) of participants used tele-monitoring and tele-counselling services; 14.3% were only telemonitored. Participants judged positively telemedicine service (30% were quiet and 50% were very satisfied), as well as tool (70% were quiet and 10% were very satisfied). Telemonitoring had a low agreement (10% were slightly satisfied and 50% were neutral); tele-counselling had a high rate of satisfaction (40% quiet and 60% were very satisfied). Conclusions: This study showed that telemedicine model for Sicilian population affected by COVID-19 was feasible, easy to use and appreciated by patients. Our promising results allow us to assume that if in Sicily there was a return of the emergency, we would be ready to manage it This system can be the solution to remote management of these patients, to reduce isolation, provide health services, and monitor virus infections. The use of this technology should encourage future research to change the health care system and provides opportunities to ensure health and care for oneself and others.

Neuropsychological effects of COVID-19: A review.

OBJECTIVE: The purpose of this review is to examine review literature on the psychological effects of the COVID-19 pandemic. METHODS: Studies were identified by an online search of the PubMed database. We selected studies published from January to May 2020 (during the COVID-19 emergency). RESULTS: We found that psychological effects of COVID-19 remain serious among the most of the population, in particular for people with mental disorders, adolescents, healthcare workers, and the general population that experienced high levels of stress, anxiety, and depression symptoms, with possible long-term psychological implications. CONCLUSION: Findings revealed that living in urban areas, having economic stability, and living with parents were protective factors against anxiety for youth groups, whereas a risk factor was represented by the presence of COVID-19 infection that involved family members.

Humanoid Robot Use in Cognitive Rehabilitation of Patients with Severe Brain Injury: A Pilot Study.

Severe acquired brain injury (SABI) is a major global public health problem and a source of disability. A major contributor to disability after SABI is limited access to multidisciplinary rehabilitation, despite evidence of sustained functional gains, improved quality of life, increased return to work, and reduced need for long-term care. Twelve patients with a diagnosis of SABI were enrolled and equally divided into two groups: experimental and control. Patients in both groups underwent intensive neurorehabilitation according to the severity of their disabilities (motor, psycho-cognitive, and sensory deficits). However, in the experimental group, the treatment was performed by using a humanoid robot. At baseline, the two groups differed significantly only in Severe Impairment Battery (SIB) scores. Results showed that the experimental treatment had a higher effect than the traditional one on quality of life and mood. In conclusion, this pilot study provides evidence of the possible effects of relational and cognitive stimulation in more severely brain-injured patients.

Care models for mental health in a population of patients affected by COVID-19.

OBJECTIVE: Emergency psychological interventions are needed in patients with COVID-19. During the pandemic, psychological counseling services have been provided using online platforms to address adverse psychological impacts and symptoms in patients and the general population. We investigated the effects of telepsychotherapy on emotional well-being and psychological distress in patients affected by COVID-19. METHODS: Forty-five Sicilian patients who had contracted COVID-19 joined "Telecovid Sicilia" from March to June 2020. Participants completed self-assessment questionnaires and psychological testing to measure levels of anxiety, presence of depressive symptoms, and altered circadian rhythm with consequent sleep disorders and psychological distress. Individual telepsychotherapy services were provided for 1 hour, twice a week, for 16 sessions in total. RESULTS: We enrolled 45 patients (42.2% women). We found significant changes between baseline and the end of follow-up in all outcome measures, especially depression (χ2 (1) = 30.1; effect size [ES] = 0.82), anxiety (χ2 (1) = 37.4; ES = 0.91), and paranoid ideation (χ2 (1) = 5.6; ES = 0.35). The proportion of participants with sleep disorders decreased to 84.1% after intervention (χ2 (1) = 58.6; ES = 1.14). CONCLUSION: A telepsychotherapeutic approach showed promising effects on psychological symptoms, with significantly reduced patient anxiety and depression.

Coping Strategies of Healthcare Professionals with Burnout Syndrome: A Systematic Review.

Background and Objectives: To evaluate the efficacy of coping strategies used to reduce burnout syndrome in healthcare workers teams. Materials and Methods: We used PubMed and Web of Science, including scientific articles and other studies for additional citations. Only 7 of 906 publications have the appropriate inclusion criteria and were selected. A PRISMA 2020 flow diagram was used. Results: The most common coping strategies that the literature studies showed were efficient, in particular social and emotional support, physical activity, physical self-care, emotional and physical distancing from work. Coping mechanisms associated with less burnout were also physical well-being, clinical variety, setting boundaries, transcendental, passion for one's work, realistic expectations, remembering patients and organizational activities. Furthermore, it was helpful to listen to the team's needs and preferences about some types of training. Conclusion: We suppose that the appropriate coping strategies employed in the team could be useful also in the prevention of psychological suffering, especially in contexts where working conditions are stressful. Studies about coping strategies to face burnout syndrome in healthcare workers should be increased.

Social cognition in patients with acquired brain lesions: An overview on an under-reported problem.

Social cognition (SC) consists of mental representations of interpersonal relationships, which are used flexibly by the individual to promote functional social behaviors and achieve the goals. SC is a multidimensional construct and is supported by the activity of distributed neural networks in which different cortical and subcortical regions of the brain are involved. The review aims to evaluate the current literature on SC taking into account how it is compromised in acquired brain injury. Studies performed between 2010 and 2019 and fulfilling the selected criteria were searched on PubMed, Scopus, Cochrane and Web of Sciences databases. Impairment of SC is a neglected but common consequence of ABI, often leading to disordered interpersonal functioning and poor regulation of personal behavior with impaired social adaptation and quality of life of both the patient and his/her family. This review supports the idea that SC could have an important role in the management of neurological patients by both clinicians and caregivers.

Effects of domotics on cognitive, social and personal functioning in patients with Parkinson's disease: A pilot study.

Home automation (HA) is either a "smart" house or a supportive environment, which enables the patients to regain an active role in daily life. HA could allow people affected by Parkinson Disease (PD) to better manage their daily lives. This study aims to evaluate the effects of domotics on quality of life, and personal/social autonomy in PD patients. We enrolled 40 with PD undergoing neurorehabilitation, who were randomized into either the control (CG) or the experimental group (EG). Two different rehabilitative approaches were used: the CG was submitted to a traditional training, whilst the EG underwent HA training, in which the activities were carried out through the use of assistive technologies. In both the training, the exercises were performed in small samples of 3-5 patients. Results showed that both CG and EG had a significant improvement in global cognitive functioning, executive functions, and instrumental autonomy. However, only in the EG, we observed a significant increase in social adaptation, activities of daily living and quality of life. This pilot study suggests that HA training could be a useful tool for the rehabilitation of patients with PD, improving social and cognitive functioning, personal autonomy and quality of life.

Hippotherapy in neurodevelopmental disorders: a narrative review focusing on cognitive and behavioral outcomes.

Hippotherapy (HT) is a rehabilitative tool inducing psychological and motor improvements using human-horse interaction. HT provides sensory stimulation to the rider through the rhythmic and repetitive movements of the horse, facilitating communication between patients and healthcare professionals, favoring the establishment of a therapeutic alliance. The purpose of this review is to evaluate the effects of HT treatment on cognitive-behavioral processes in neurodevelopmental disorders. We screened studies published between 2002 and 2020 on PubMed, Scopus, Cochrane, and Web of Sciences databases. The search combined the following terms: "hippotherapy"; "horseback riding"; "equine-assisted therapy"; "developmental disorder"; "autism spectrum disorder"; "dyspraxia"; "infantile cerebral palsy"; and "attention-deficit/hyperactivity disorder". This review shows that HT can be a valuable tool for the treatment of developmental disorders. The psychological, cognitive and relational areas could benefit from the animal-child interaction to promote child autonomy, self-esteem, self-efficacy and openness to others. Physical, motor and psychosocial benefits were found in adolescents with anxiety and/or depression disorders, in autism spectrum disorders, dyspraxia, as well as in infantile cerebral palsy and attention deficit hyperactivity disorder. HT could be considered an alternative therapeutic tool thanks to the relationship between patient-horse-instructor and to the sensory-motor and cognitive stimulation that enforce learning processes.