Smartphone-Based Cognitive Telerehabilitation: A Usability and Feasibility Study Focusing on Mild Cognitive Impairment.

The implementation of cognitive health apps in patients with mild cognitive impairment (MCI) is challenging because of their cognitive, age, and other clinical characteristics. In this project, we aimed to evaluate the usability and feasibility of the Rehastart app tested in MCI patients. Eighteen subjects affected by MCI due to neurodegenerative disorders (including Parkinson's disease, multiple sclerosis, and amnestic/multidomain MCI) and eighteen healthcare professionals were recruited to this study. Patients were registered on the app by clinicians and they were assigned a protocol of specific cognitive exercises. The recruitment was conducted in the period between March and June 2023. The trial testing of the app consisted of three sessions per week for three weeks, with each session lasting about 30 min. After three weeks, the participants as well as medical personnel were invited to rate the usability and feasibility of the Rehastart mobile application. The instruments employed to evaluate the usability and feasibility of the app were the System Usability Scale (SUS), The Intrinsic Motivation Inventory (IMI) and the Client Satisfaction Questionnaire (CSQ). We did not find statistically significant differences on the SUS (p = 0.07) between healthcare professionals and patients. In addition, we found promising results on subscales of the Intrinsic Motivation Inventory, suggesting high levels of interest and enjoyment when using the Rehastart app. Our study demonstrated that smartphone-based telerehabilitation could be a suitable tool for people with MCI due to neurodegenerative disorders, since the Rehastart app was easy to use and motivating for both patients and healthy people.

Alzheimer cafè: toward bridging the gap between cure and care in patients with dementia.

BACKGROUND: Alzheimer's disease (AD) is the most common form of degenerative dementia, whose symptoms usually appear in the pre-senile age. In the early stages, patients present social difficulties due to the general cognitive decline in memory, language and executive domains. These problems also affect patients' quality of life, emotions, and mood, leading to social isolation. OBJECTIVE: The aim of this study is to evaluate the effects of Alzheimer's Cafè (AC) on the cognitive and behavioral outcomes of AD patients. METHODS: Twenty patients diagnosed with AD, who attended the Cognitive and Behavioral Rehabilitation Laboratory of the IRCCS Centro Neurolesi 'Bonino-Pulejo' of Messina, Italy, from December 2017 to December 2018, were enrolled in this study. As these patients belonged to the experimental group (EG: n = 20), they received specific cognitive-behavior training using the AC modality. The patients were assessed by a neuropsychological evaluation at the beginning and at the end of the program. Their outcomes were compared to a matched group of patients with neurodegenerative dementia (CG: 20) receiving conventional cognitive training. RESULTS: The pre-post comparisons showed that both CG and EG had a significant improvement in global cognitive functioning (MoCA p < 0.001) and in perceived quality of life (<0.001). However, only in the EG, we observed a significant increase in social functioning (SASS p < 0.00), the perception of mental well-being (SF-12 Mental p < 0.00), and a reduction in the depressive state (GDS p < 0.00). CONCLUSIONS: The present study suggests the importance of AC for patients with AD and the potential effect on psychological and social well-being.

Sexual Dysfunctions in Females with Parkinson's Disease: A Cross-Sectional Study with a Psycho-Endocrinological Perspective.

Background and Objectives: Normal human sexual functioning is a complex integration of an intact neuroanatomic substrate, vascular supply, a balanced hormonal profile, and a predominance of excitatory over inhibitory psychological mechanisms. However, sexual functioning in Parkinson's disease (PD) is often overlooked in clinical practice, especially in female patients. Materials and Methods: In this cross-sectional study, we have investigated the frequency of sexual dysfunction and the possible correlation with psycho-endocrinological factors in a sample of women with idiopathic PD. Patients were assessed using a semi-structured sexual interview, in addition to psychometric tools, including the Hamilton Rating Scale for Anxiety and for Depression and the Coping Orientation to the Problems Experiences-New Italian Version. Specific blood tests, including testosterone, follicle-stimulating hormone (FSH), luteinizing hormone (LH), estrogen E2, prolactin (PRL), and vitamin D3 were also evaluated. Results: Our results reported a statistical difference in sexual intercourse frequency before and after the onset of PD (p < 0.001). The percentage of women who complained about reduced sexual desire increased after diagnosis (52.7%) compared to the period before the onset of the illness (36.8%). The endocrinological profile in females with PD revealed statistically significant differences regarding testosterone (p < 0.0006), estradiol (p < 0.00), vitamin D3 (p < 0.006), and calcium (0.002). Depression (44% characterized by perceived feelings of anger and frustration during sexual intercourse) and anxiety symptoms (29.5% reported feelings of fear and anxiety for not satisfying the partner) with abnormal coping strategies (48.14% experienced feelings of anger and intolerance) were also found to be statistically significant. This study showed a high frequency of sexual dysfunction in female patients with PD, which correlated with sexual hormone abnormalities, mood/anxiety, and coping strategies alterations. This supports the idea that there is a need to better investigate the sexual function of female patients with PD to provide them with an adequate therapeutic approach and potentially improve quality of life.

Is psychosocial rehabilitation useful in older people living in nursing homes? A pilot study on long-term cognitive and behavioural outcomes.

BACKGROUND: Age-related changes in cognitive and behavioural functions, although common, may vary considerably across individuals and cognitive domains. There is limited evidence focusing on the benefits of training based on cognitive/social learning principles in the elderly. The aim of this study is to investigate the effects of Assertive Social Skill Training (ASST) in improving cognitive and mood outcomes in a sample of older patients living in a Sicilian nursing home. METHODS: Forty-seven older subjects were enrolled in this case-control study. Each participant was evaluated by a neuropsychologist, through the administration of a short psychometric battery using the Mini-Mental State Examination (MMSE), Frontal Assessment Battery (FAB), and Geriatric Depression Scale (GDS), at three time points: before (T0), immediately following (T1), and 6 months after the end of the training (T2). Both groups received cognitive behavioural therapy and psychological support, but the experimental group received the ASST protocol (60 sessions, five times a week, for 12 weeks, each session lasting about 60 min), whilst the control group participated in group meetings with recreational activities. RESULTS: Post-hoc analysis showed that only patients receiving ASST presented a statistically significant improvement in global cognitive functions (MMSE: P < 0.001), frontal abilities (FAB: P < 0.001), and mood (GDS: P < 0.001); these positive outcomes were maintained at T2. CONCLUSIONS: Promising treatments, like the ASST, aimed at potentiating cognitive, behavioural, and social skills, are needed to improve older people's quality of life, especially when they live in nursing homes.

How patients with mild dementia living in a nursing home benefit from dementia cafés: a case-control study focusing on psychological and behavioural symptoms and caregiver burden.

BACKGROUND: Dementia is a syndrome, mainly due to neurodegeneration, affecting cognition, behaviour, feelings and relationships. Pharmacological treatment is still challenging and thus different ways to improve/slow down the disease are necessary. METHODS: Twenty-five subjects with mild dementia, living in a nursing home, and their relatives were invited to attend a dementia cafe, a community group which provides support for families affected by dementia. Each patient was evaluated by a neuropsychologist, through the administration of a specific neuropsychological battery, before and at the end of the study. Their outcomes were compared to a matched group of patients with dementia receiving psycho-counselling. RESULTS: After the dementia cafe meetings, patients showed higher significant changes in mood (P < 0.01), behavioural symptoms (P < 0.001), quality of life (P < 0.001), and caregiver burden (P < 0.001). The control group significantly improved only in quality of life with a reduction of caregiver burden. CONCLUSIONS: Our findings confirm that patients with dementia may benefit from the dementia cafe, especially concerning behavioural symptoms. Moreover, caregivers find these cafés to be welcoming, relaxed places to socialise and access support and information. Future dementia cafés should create programs and comfortable environments answering to the different needs of the patients.

The Efficacy of Cocoa Polyphenols in the Treatment of Mild Cognitive Impairment: A Retrospective Study.

Background: Mild cognitive impairment (MCI) is characterized by cognition impairment that does not interfere with the usual activities of daily living. It is considered to be a transitional stage between normal aging and dementia. No treatment is available for MCI. Methods: This retrospective cohort study included 55 patients (29 males and 26 females, aged 56-75 years) with a diagnosis of amnestic MCI who attended the Center for Cognitive Disorder and Dementia of the IRCCS Centro Neurolesi Bonino Pulejo (Messina, Italy) between January and December of 2017. As we aimed to evaluate the effect of cocoa polyphenols on cognition, the study population was separated into two groups depending on the change in their Mini-Mental State Examination (MMSE) score at a one-year follow-up. Results: Compared to G2 (i.e., patients with a worsening in cognitive functions), the rate of polyphenol intake was significantly higher in patients without a worsening in cognition (i.e., G1) (χ2 = 13.79, df = 1, p-value < 0.001). By subdividing G1 patients based on whether they improved or were stable at follow-up, we found that 46.2% of those who had improved were treated with polyphenols. Conclusions: Dietary supplementation of cocoa flavonoids seems to reduce the progression of MCI to dementia. Further prospective studies with larger sample volumes are required to confirm these promising findings.

Qualitative Analysis of Mini Mental State Examination Pentagon in Vascular Dementia and Alzheimer's Disease: A Longitudinal Explorative Study.

BACKGROUND: Vascular dementia and Alzheimer's disease are the most diffuse forms of dementia. Sometimes, they are difficult to distinguish due to overlaps in symptomatology, pathophysiology, and comorbidity. Visual constructive apraxia is very common in dementia and impairment in these abilities can provide clinical information for differential diagnosis. MATERIALS AND METHODS: All patients underwent Mini Mental State Examination (MMSE) at basal visit (T0) and after 1 year (T1). We analyzed differences in Qualitative Scoring Method for the Pentagon Copying Test and we explored the visual constructive apraxia evolution in these 2 types of dementia. RESULTS: In intragroup analysis, we found a significant difference in each group between T0 and T1 in MMSE score (P < .001) and total qualitative scores (P < .001). In intergroup analysis, at T0, we found significance difference in total qualitative scores (P < .001), in numbers of angles (P = .005), in distance/intersection (P < .001), in closure/opening (P = .01), in rotation (P < .001), and in closing-in (P < .001). At T1, we found significance difference in total qualitative scores (P < .001), in particular, in numbers of angles (P < .001), in distance/intersection (P < .001), in closure/opening (P < .001), in rotation (P < .001), and in closing-in (P < .001). The total score showed the highest classification accuracy (.90, 95%CI = .81-0.96) in differentiating patients with Alzheimer's disease from patients with vascular dementia. The optimal threshold value was k = 5. with .84 (95%CI = .69-0.93) sensitivity and .81 (95%CI = .64-0.93) specificity. CONCLUSION: Patients with vascular dementia showed more accuracy errors and graphic difficulties than patients with Alzheimer's disease. Qualitative analysis of copy provided a sensitive measure of visual constructive abilities in differentiating dementias, underlining a particularly vulnerability of visuoconstructive functions in vascular dementia compared with Alzheimer's disease.

Cognitive impairment in Parkinson's disease, Alzheimer's dementia, and vascular dementia: the role of the clock-drawing test.

AIM: Cognitive impairment is present in several neurodegenerative disorders. The clock-drawing test (CDT) represents a useful screening instrument for assessing the evolution of cognitive decline. The aim of this study was to investigate the sensitivity of the CDT in monitoring and differentiating the evolution of cognitive decline in Alzheimer's dementia (AD), vascular dementia (VaD), and Parkinson's disease (PD). METHODS: This study involved 139 patients, including 39 patients with PD and mild cognitive impairment, 16 demented PD patients, 21 VaD patients with mild cognitive impairment, 17 patients with VaD, 33 patients with mild cognitive impairment due to AD, and 13 patients with probable AD. All participants completed the CDT. The Mini-Mental State Examination was administered to establish patients' cognitive functioning. RESULTS: Comparisons of quantitative and qualitative CDT scores showed significant differences between the various diseases. Impairment of executive functioning seems to be more pronounced in PD and VaD than in AD. Patients with AD committed more errors related to a loss of semantic knowledge, indicating a severely reduced capacity in abstract and conceptual thinking. CONCLUSION: Results support the usefulness and sensitivity of the CDT in the detection of different dementia subtypes. Qualitative error analysis of the CDT may be helpful in differentiating PD, VaD, and AD, even in the early stages of each disease.

Early vs late cranioplasty: what is better?

AIM OF THE STUDY: Cranioplasty is the surgical repair of skull defects, which commonly is performed after traumatic skull injuries due to tumor removal or decompressive craniectomy. Several studies reported improvement in cognitive functions following cranioplasty in patients with severe brain damage. The reasons why exist such clinical improvement is not completely understood, although the increase in cerebrospinal fluid hydrodynamics with the potential improvement of local and global cerebral hemodynamics, blood flow, and metabolism may play a pivotal role. We investigated whether the cranioplasty improved neurological recovery and the whole array of cognitive functions or just some specific domains. MATERIALS AND METHODS: A total of 30 consecutive brain-injured subjects with craniectomy were enrolled and underwent a structured neuropsychological assessment immediately before the cranioplasty, 1 month after the cranioplasty and 1 year after the surgical procedure. RESULTS: Our results showed that cranioplasty may facilitate the cognitive recovery, independently from the surgical timing. Particularly, we observed an important cognitive recovery in the period immediately after cranioplasty, while the improvement trend settles after a lapse of time, and the recovery starts to slow down. CONCLUSIONS: Cranioplasty seems to significantly improve neuropsychological and motor status in the patients with skull defects, independently from cranioplasty timing and patient's clinical status.

Neuropsychiatric symptoms in dementia may predict caregiver burden: a Sicilian exploratory study.

BACKGROUND: Behavioural and psychological symptoms of dementia are very common. They represent a main cause of burden and distress in caregivers and can lead to early institutionalization of patients. We aimed to find the most specific behavioural and psychological symptoms of dementia that can strongly affect the caregivers' burden. METHODS: Twenty-seven patients and their caregivers were enrolled in this study. All of the patients were affected by Alzheimer's, vascular, or frontotemporal dementia and were evaluated with the Neuropsychiatric Inventory and Mini-Mental State Examination. Caregivers were administered the Caregiver Burden Inventory. RESULTS: Apathy, depression, anxiety, and agitation were the most common symptoms and were found in up to 90% of the patients. We detected strong correlations between patient neuropsychiatric symptoms, (i.e. irritability, hallucinations, aberrant motor behavioural, depression, and agitation) and Caregiver Burden Inventory scores. Multiple regression analysis found hallucinations, irritability, and depression to be significant predictors of caregiver burden. Moreover, the Neuropsychiatric Inventory score was more closely related to caregiver burden than the Mini-Mental State Examination score. CONCLUSION: Our results revealed that demented patients' behavioural problems are related to the level of caregiver burden and distress. Further investigations are needed to differentiate the present findings among dementia subtypes and to better evaluate the effect of caregivers' personal characteristics on their own burden.

Moving into the wide clinical spectrum of consciousness disorders: Pearls, perils and pitfalls.

The last few years have been characterized by a growing interest of the medical and scientific world for the field of consciousness and its related disorders. Medically speaking, consciousness can be defined as the state of awareness of self and environment and the alertness to external stimulation, besides responsiveness to inner need. Transient loss of consciousness can be due to alterations in cerebral blood flow leading to fainting or syncope, migraine, metabolic dysfunctions, unexpected intracranial pressure increases, epileptic seizures, and sleep disorders. Chronic disorders of consciousness are a tragic success of high-technology treatment, in an attempt to maintain or reestablish brain function, which is to be considered as the main goal of therapeutics. Management of vegetative or a minimally conscious state individuals involves charily getting the right diagnosis with an evidence-based prognosis, also taking into account the medical, ethical, and legal key factors of the ideal treatment. This paper is aimed at exploring the wide spectrum of consciousness disorders and their clinical differential diagnosis, with particular regards to those with a negative impact on patient and their caregiver quality of life, including epilepsy, sleep disorders, and vegetative/minimally conscious state.

Lokomat training in vascular dementia: motor improvement and beyond!

Vascular dementia (VaD) is a general term describing problems with reasoning, planning, judgment, memory, and other thought processes caused by brain damage from impaired blood flow to the brain. Cognitive rehabilitation and physical therapy are the mainstays of dementia treatment, although often ineffective because of the scarce collaboration of the patients. However, emerging data suggest that physical activity may reduce the risk of cognitive impairment, mainly VaD, in older people living independently. Herein, we describe a 72-year-old male affected by VaD, in which traditional cognitive training in addition to intensive gait robotic rehabilitation (by using Lokomat device) led to a significant improvement in the motor and cognitive function. This promising finding may be related either to the intensive and repetitive aerobic exercises or to the task-oriented training with computerized visual feedback, which can be considered as a relevant tool to increase patients' motor output, involvement, and motivation during robotic training.

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.

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.

Does Transcranial Direct Current Stimulation Affect Potential P300-Related Events in Vascular Dementia? Considerations from a Pilot Study.

Vascular dementia, the second most common type of dementia, currently lacks a definitive cure. In the pursuit of therapies aimed at slowing its progression and alleviating symptoms, transcranial direct current stimulation (tDCS) emerges as a promising approach, characterized by its non-invasive nature and the ability to promote brain plasticity. In this study, the primary objective was to investigate the effects of a two-week cycle of tDCS on the dorsolateral prefrontal cortex (DLPFC) and neurophysiological functioning in thirty patients diagnosed with vascular dementia. Each participant was assigned to one of two groups: the experimental group, which received anodal tDCS to stimulate DPCFL, and the control group, which received sham tDCS. Neurophysiological functions were assessed before and after tDCS using P300 event-related potentials (ERPs), while neuropsychological function was evaluated through a Mini-Mental State Examination (MMSE). The results showed a reduction in P300 latency, indicating a faster cognitive process; an increase in P300 amplitude, suggesting a stronger neural response to cognitive stimuli; and a significant improvement in MMSE scores compared to the control group, indicating an overall enhancement in cognitive functions. These findings suggest that tDCS could represent a promising therapeutic option for improving both neurophysiological and cognitive aspects in patients with vascular dementia.

Videoconference-based mini mental state examination: a validation study.

BACKGROUND: Neuropsychological testing is a prime criterion of good practice to document cognitive deficits in a rapidly aging population. Telecommunication technologies may overcome limitations related to test administration. We compared performance of the Italian videoconference-based version of the Mini Mental State Examination (VMMSE) with performance of the standard MMSE administered face-to-face (F2F), to validate the Italian version of the 28-item VMMSE. MATERIALS AND METHODS: To validate the Italian version of the VMMSE, we compared its performance with standard F2F. The sample (n=342) was administered three VMMSEs within 6 weeks after F2F testing. We identified the optimal cutoff through the receiver operating characteristic curve, as well as the VMMSE consistency through inter- and intrarater reliability (Inter/RR and Intra/RR) analysis. RESULTS: We found high levels of sensitivity and specificity for the optimal VMMSE cutoff identification and an accuracy of 0.96 (95% confidence interval 0.94-0.98). Intra/RR and inter/RR were highly significant. CONCLUSIONS: This study demonstrates that VMMSE is a valid instrument in clinical and research screening and monitoring of subjects affected by cognitive disorders. This study shows a significant correlation between videoconference assessment and the F2F one, providing an important impetus to expand studies and the knowledge about the usefulness of tele-assistance services. Our findings have important implications for both longitudinal assistance and clinical care of demented patients.

Can Virtual Reality Cognitive Rehabilitation Improve Executive Functioning and Coping Strategies in Traumatic Brain Injury? A Pilot Study.

Executive dysfunction is among the most common and disabling facets of cognitive impairment following traumatic brain injury (TBI), and may include deficits in reasoning, planning, mental flexibility, some aspects of attention and orientation, awareness and behavior. Rehabilitation programs based on cognitive-behavioral approaches to retrain planning and problem-solving and other executive deficits may improve such cognitive dysfunction. The purpose of this study is to investigate the effects of non-immersive virtual reality-based training to improve executive abilities and to reduce anxiety and depression symptoms in patients with TBI. Twenty patients with moderate to severe TBI were enrolled at our Neurorehabilitation Unit and divided to receive either the standard cognitive training or the virtual reality (VR) based cognitive training using the virtual reality rehabilitation system (VRRS-Evo). Each group received the same amount of rehabilitative training, including ROT (Reality Orientation Therapy) and Executive Training (ET), but using a different approach, i.e., a paper and pencil and an advanced approach. All patients were evaluated with a specific psychometric battery before (T0) and after the end (T1) of each program. Comparing pre- and post- treatment scores, in the VR-CT group, we found statistically significant differences in all administered outcome measures for cognitive and executive functioning, i.e., MoCA (p < 0.005), FAB (p < 0.005), TMT-A (p < 0.005), TMT-B (p < 0.005), TMT-BA (p < 0.001), and mood, i.e., HRS-D (p < 0.008). In the Conventional cognitive training (C-CT) group, we found a significant improvement only in MoCA (p < 0.03), FAB (p < 0.02) and in TMT-BA (p < 0.01). Coping strategies also improved, with better results in the VR-CT group. Our results suggest that VR rehabilitation, using the VRRS system, may be a valuable and motivational approach to improve visuo-executive abilities and coping strategies as well as mood in chronic TBI patients.

Effects of Virtual Reality Cognitive Training on Neuroplasticity: A Quasi-Randomized Clinical Trial in Patients with Stroke.

Cognitive Rehabilitation (CR) is a therapeutic approach designed to improve cognitive functioning after a brain injury, including stroke. Two major categories of techniques, namely traditional and advanced (including virtual reality-VR), are widely used in CR for patients with various neurological disorders. More objective outcome measures are needed to better investigate cognitive recovery after a stroke. In the last ten years, the application of electroencephalography (EEG) as a non-invasive and portable neuroimaging method has been explored to extract the hallmarks of neuroplasticity induced by VR rehabilitation approaches, particularly within the chronic stroke population. The aim of this study is to investigate the neurophysiological effects of CR conducted in a virtual environment using the VRRS device. Thirty patients with moderate-to-severe ischemic stroke in the chronic phase (at least 6 months after the event), with a mean age of 58.13 (±8.33) for the experimental group and 57.33 (±11.06) for the control group, were enrolled. They were divided into two groups: an experimental group and a control group, receiving neurocognitive stimulation using VR and the same amount of conventional neurorehabilitation, respectively. To study neuroplasticity changes after the training, we focused on the power band spectra of theta, alpha, and beta EEG rhythms in both groups. We observed that when VR technology was employed to amplify the effects of treatments on cognitive recovery, significant EEG-related neural improvements were detected in the primary motor circuit in terms of power spectral density and time-frequency domains. Indeed, EEG analysis suggested that VR resulted in a significant increase in both the alpha band power in the occipital areas and the beta band power in the frontal areas, while no significant variations were observed in the theta band power. Our data suggest the potential effectiveness of a VR-based rehabilitation approach in promoting neuroplastic changes even in the chronic phase of ischemic stroke.

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.

Central neuropathic pain: an unusual case of painful ejaculation responding to topiramate.

INTRODUCTION: Painful ejaculation (PE) is an uncommon condition and it is usually associated with prostatitis, chronic pelvic pain syndrome, benign prostatic hyperplasia, ejaculatory duct obstruction, radical prostatectomy, and prostate radiation. Topiramate (TPM) is a new antiepileptic drug with recognized efficacy in neuropathic pain. AIM: The study is aimed to evaluate TPM efficacy in ejaculation pain. METHODS: Following a spinal cord injury, a 53-year-old man was referred to our institute for persistent PE. Neurological examination showed mild hypoesthesia of the genital area. Urogenital examination, neurophysiological tools, and computed tomography of the dorso-lumbar spine were normal. MAIN OUTCOME MEASURES: The main outcome measure was the visual analogue scale. RESULTS: Since pain was refractory to conventional neuropathic pharmacological therapies, TPM was introduced up to 150 mg daily with a dramatic improvement of PE. CONCLUSIONS: TPM may be considered as a valid therapeutic option for the treatment of PE.