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.

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.

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.

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.

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.

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.

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.

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.

Advances in neuroRehabilitation of TREM2-related dementia: A case report on a novel multimodal approach using virtual reality.

RATIONABLE: The aim of this study is to investigate the effects of an advanced neuroRehabilitation protocol using virtual reality in the treatment of a patient with fronto- temporal dementia due to TREM2 mutation. PATIENTS CONCERN: A 41-year-old caucasian male, affected by Nasu-Hakola Disease (NHD), presented a 1-year history of change in behavioral and cognitive functioning, before our observation. The onset of the disease was characterized by severe pain in the lower limbs and knees with limitations in the performance of daily life activities. DIAGNOSIS: Motor and cognitive deficits in NHD. INTERVENTIONS: As the patient was in a chronic phase, to manage his cognitive and motor status, we decided to treat him by using a specific rehabilitation protocol, including 2 different types of training: conventional cognitive and motor treatment and a combined advanced approach using the virtual reality rehabilitation system (VRRS). The two protocols were separated by 4 weeks of rest, to avoid/reduce a cumulative effect. The patient's cognitive and motor profile was assessed three times: that is before (at T0) and after (at T1) the conventional training as well as at the beginning (T2) and at the end of the combined experimental approach (T3). OUTCOMES: After the combined therapeutic approach with the virtual reality rehabilitation system, we observed a significant reduction in anxiety, apathy, indifference and depressive symptoms with a more evident motor improvement involving the head and the trunk control. LESSONS: Virtual reality can be considered a promising tool for the motor and cognitive rehabilitation of rare neurodegenerative disorders, including patients with NHD.

The effect of intravenous thrombolytic therapy on post stroke depression and cognitive dysfunction: A 3-months follow up study.

Several studies have demonstrated the efficacy of intravenous thrombolytic therapy with recombinant plasminogen activator (rt-PA) on functional recovery at 3-18 months following the treatment. The objectives of this study were to investigate differences between thrombolytic or no thrombolytic treatment and if could be a relationship between patients who have underwent the thrombolytic treatment in terms of depressive symptoms and cognitive impairment. In this retrospective study, we evaluated 92 patients affected by ischemic stroke recruited from our rehabilitation center, coming from a Stroke Unit. All the eligible subjects were assessed at admission (T0) and two months later, at discharge, upon concluded the rehabilitation program (T1). The patients were divided into two groups: Thrombolysis Group (n.40 subjects) and no Thrombolysis Group (n.52 subjects). Cognitive functions were evaluated with the Montreal Overall Cognitive Assessment. Functional status were evaluated with the Barthel Index and the Functional Independent Misure. We administered Beck Depression Inventory-II to verify the presence of a depressive state. We found that at three months after stroke, the prevalence of depressive symptoms and cognitive improvement, among patient who had undergone thrombolytic treatment, and who had not, was not different. Conversely, we found an improvement of depressive symptoms in each group.

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.

Analgesic hypnotic treatment in a post-stroke patient.

In recent years, hypnotic suggestions have been used in several clinical conditions. This treatment is often used for anxiety treatment, somatization, and post-traumatic stress disorder. Hypnotic analgesia is one of the most clinically useful phenomena of hypnosis. The article describes the case of a patient who underwent hypnotic treatments for hypersensitivity and chronic pain. Results showed an improvement of pain control and a decrease of pain hypersensibility. In addition, during rehabilitative treatments, the patient reported a high level of compliance with the multidisciplinary team. These findings suggest that hypnosis could be a useful treatment for post-stroke pain management.

The role of mind theory in patients affected by neurodegenerative disorders and impact on caregiver burden.

BACKGROUND: Theory of Mind (ToM) is defined as the ability to understand mental and emotional state. This ability is assessed also in neurodegenerative disease. Few studies have investigated the impact that social cognition of patients could have on caregiver burden. The aim of this study was to investigate a possible correlation in level of social cognition impairment between patients with different neurodegenerative disorders and their caregivers with possible impact on caregivers burden. METHODS: we enrolled 48 patients with dementia divided in different groups: Fronto-Temporal Dementia (FTD), Alzheimer Disease (AD), and Mild Cognitive Impairment (MCI) and also the three groups of their respective caregivers. All subjects were submitted to ToM tests, and the caregiver groups also to Caregiver Burden Inventory (CBI) to evaluate level of burden. RESULTS: Our results showed that ToM was more impaired in FTD patients and in their caregivers In addition, FTD group showed more impaired performances in tasks related to emotional skills. CONCLUSIONS: We suggested that ToM impairment of patients are related to ToM impairment of caregivers with differences of scores in caregiver groups. The caregiver difficulties to understand, attribute and describe emotional and mental states of their relatives develop distress and inability in burden management and disorders relative to neurodegenerative disease.

Recovery of Severe Aphasia After Cranioplasty: Considerations on a Case Study.

Cranioplasty is the main surgical intervention for repairing cranial defects performed in about 80% of the patients following cancer surgery or decompressive craniectomy. Although some works have shown recovery of motor and cognitive function, including memory, attention, and executive functions, until today no studies have focused on language recovery after cranioplasty. A 68-year-old woman came to the Neurorehabilitation Unit of the IRCCS Neurolesi (Messina, Italy) because of a fluent aphasia due to a severe left nucleocapsular hemorrhage and greatly improved her motor and neuropsychological status after cranioplasty. Results confirmed that cranioplasty might significantly improve motor and neuropsychological function, besides aphasia. Healthcare professionals involved in rehabilitation should be aware of the potential role of cranioplasty in improving rehabilitative outcomes to better plan a more personalized rehabilitative program. Moreover, rehabilitation nurses can play a pivotal role within the rehabilitation process, as they are educated to interact and communicate with the patient suffering from aphasia.

New Horizons in Early Dementia Diagnosis: Can Cerebellar Stimulation Untangle the Knot?

Differentiating Mild Cognitive Impairment (MCI) from dementia and estimating the risk of MCI-to-dementia conversion (MDC) are challenging tasks. Thus, objective tools are mandatory to get early diagnosis and prognosis. About that, there is a growing interest on the role of cerebellum-cerebrum connectivity (CCC). The aim of this study was to differentiate patients with an early diagnosis of dementia and MCI depending on the effects of a transcranial magnetic stimulation protocol (intermittent theta-burst stimulation -iTBS) delivered on the cerebellum able to modify cortico-cortical connectivity. Indeed, the risk of MDC is related to the response to iTBS, being higher in non-responder individuals. All patients with MCI, but eight (labelled as MCI-), showed preserved iTBS aftereffect. Contrariwise, none of the patients with dementia showed iTBS aftereffects. None of the patients showed EEG aftereffects following a sham TBS protocol. Five among the MCI- patients converted to dementia at 6-month follow-up. Our data suggest that cerebellar stimulation by means of iTBS may support the differential diagnosis between MCI and dementia and potentially identify the individuals with MCI who may be at risk of MDC. These findings may help clinicians to adopt a better prevention/follow-up strategy in such 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.