Cognitive Stimulation with Music in Older Adults with Cognitive Impairment: A Scoping Review.

BACKGROUND: The use of music in cognitive interventions represents a possibility with potential worthy of further investigation in the field of aging, both in terms of prevention from dementia, in the phase of mild cognitive impairment, and in the treatment of overt dementia. OBJECTIVES: Currently, the types of music-based interventions proposed in the literature are characterized by wide heterogeneity, which is why it is necessary to clarify which interventions present more evidence of effectiveness in stimulating different cognitive domains. METHOD: The study was conducted in accordance with PRISMA guidelines for scoping reviews. By searching two different databases, PubMed and the Web of Science, all studies evaluating the cognitive effects of music-based interventions on people at early stages of cognitive decline (MCI or mild-to-moderate dementia) were selected. RESULTS: The study selection included a total of 28 studies involving n = 1612 participants (mean age ranged from 69.45 to 85.3 years old). Most of the studies analyzed agree with the observation of an improvement, or at least maintenance, of global cognitive conditions (mainly represented by the results of the MMSE test) following music-based interventions, together with a series of other positive effects on verbal fluency, memory, and executive processes. CONCLUSIONS: The results of this review suggest the introduction of music-based interventions as complementary approaches to usual cognitive treatments. Also, the use of standardized and well-defined protocols, in addition to strong methodological research approaches, is suggested. Music-based interventions are recommended in the early stages of dementia, in MCI, and in a preventive sense in healthy older adults.

Multidimensional screening and intervention program for neurocognitive disorder in vascular and multimorbid outpatients: Study protocol for a randomized clinical trial.

BACKGROUND: The heightened risk of dementia resulting from multiple comorbid conditions calls for innovative strategies. Engaging in physical and cognitive activities emerges as a protective measure against cognitive decline. This protocol aims to discuss a multidomain intervention targeting individuals with dementias secondary to cerebrovascular or other medical diseases, emphasizing an often underrepresented demographic. METHODS: This study primary objectives are: a) to identify patients affected by Neurocognitive disorder due to vascular disease or multiple etiologies (screening and diagnostic phase) and b) to evaluate the effectiveness of distinct rehabilitation protocols (intervention phase): motor training alone, paper-based cognitive rehabilitation combined with motor training, digital-based cognitive rehabilitation coupled with motor training. DISCUSSION: Identifying cognitive impairment beyond rigid neurological contexts can facilitate timely and targeted interventions. This protocol strives to address the complex interplay of cognitive decline and comorbidities through a multidimensional approach, providing insights that can shape future interventions and enhancing overall well-being in this vulnerable population. TRIAL REGISTRATION: The study has been registered on July 13, 2023 with the ClinicalTrials.gov NCT05954741 registration number (https://classic.clinicaltrials.gov/ct2/show/NCT05954741).

A theory-based and data-driven approach to promoting physical activity through message-based interventions.

Objective: We investigated how physical activity can be effectively promoted with a message-based intervention, by combining the explanatory power of theory-based structural equation modeling with the predictive power of data-driven artificial intelligence. Methods: A sample of 564 participants took part in a two-week message intervention via a mobile app. We measured participants' regulatory focus, attitude, perceived behavioral control, social norm, and intention to engage in physical activity. We then randomly assigned participants to four message conditions (gain, non-loss, non-gain, loss). After the intervention ended, we measured emotions triggered by the messages, involvement, deep processing, and any change in intention to engage in physical activity. Results: Data analysis confirmed the soundness of our theory-based structural equation model (SEM) and how the emotions triggered by the messages mediated the influence of regulatory focus on involvement, deep processing of the messages, and intention. We then developed a Dynamic Bayesian Network (DBN) that incorporated the SEM model and the message frame intervention as a structural backbone to obtain the best combination of in-sample explanatory power and out-of-sample predictive power. Using a Deep Reinforcement Learning (DRL) approach, we then developed an automated, fast-profiling strategy to quickly select the best message strategy, based on the characteristics of each potential respondent. Finally, the fast-profiling method was integrated into an AI-based chatbot. Conclusion: Combining the explanatory power of theory-driven structural equation modeling with the predictive power of data-driven artificial intelligence is a promising strategy to effectively promote physical activity with message-based interventions.

The association between objective cognitive measures and ecological-functional outcomes in COVID-19.

Background: Cognitive dysfunctions, both subjective and detectable at psychometric testing, may follow SARS-CoV-2 infection. However, the ecological-functional relevance of such objective deficits is currently under-investigated. This study thus aimed at investigating the association between objective cognitive measures and both physical and cognitive, ecological-functional outcomes in post-COVID-19. Methods: Forty-two COVID-19-recovered individuals were administered the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). The Functional Independence Measure (FIM) was adopted to assess functional-ecological, motor/physical (FIM-Motor) and cognitive (FIM-Cognitive) outcomes at admission (T0) and discharge (T1). Results: When predicting both T0/T1 FIM-total and-Motor scores based on MMSE/MoCA scores, premorbid risk for cognitive decline (RCD) and disease-related features, no model yielded a significant fit. However, the MoCA - but not the MMSE significantly predicted T0/T1 FIM-Cognitive scores. The MoCA was significantly related only to T0/T1 FIM-Cognitive Memory items. Discussion: Cognitive measures are not associated with physical/motor everyday-life outcomes in post-COVID-19 patients. The MoCA may provide an ecological estimate of cognitive functioning in this population.

Psychiatric symptoms subsequent to COVID-19 and their association with clinical features: A retrospective investigation.

This study explores the association between psychiatric symptoms following COVID-19 and demographic, disease-related and premorbid clinical confounders. Global cognition, depression, anxiety and PTSD features were assessed in 152 post-COVID-19 patients, subdivided into being at risk for brain disorders or not. In both groups, clinically meaningful depression, anxiety and PTSD symptoms were mildly-to-moderately frequent (4-45%). No demographic or clinical variables predicted psychiatric measures (except for lower age predicting higher anxiety levels). Depression, anxiety and PTSD measures were associated among each other. Hence, depression-, anxiety- and PTSD-spectrum disturbances in COVID-19 survivors are likely to be unassociated with disease-related and premorbid features.

Clinical features and cognitive sequelae in COVID-19: a retrospective study on N=152 patients.

BACKGROUND: The novel human coronavirus (SARS-CoV-2) shows neurotropism and systemically affects the central nervous system (CNS). Cognitive deficits have been indeed reported as both short- and long-term sequelae of SARS-CoV-2 infection. However, the association between these disturbances and background/disease-related clinical features remains elusive. This work aimed at exploring how post-infective cognitive status relates to clinical/treatment outcomes by controlling for premorbid/current risk factors for cognitive deficits. METHODS: Cognitive measures (Mini-Mental State Examination, MMSE) of N=152 COVID-19 patient were retrospectively assessed in relation to disease severity, intensive care unit (ICU) admission, steroidal treatment, and occurrence of other viral/bacterial infections by controlling for remote/recent/COVID-19-related risk factors for cognitive deficits (at-risk vs. not-at-risk: Neuro+ vs. Neuro-). RESULTS: Descriptively, impaired MMSE performances were highly prevalent in mild-to-moderate patients (26.3%). ICU-admitted patients made less errors (p=.021) on the MMSE than those not admitted when partialling out risk factors and age-the latter negatively influencing performances. When addressing Neuro- patients only, steroidal treatment appears to improve MMSE scores among those suffering from other infections (p=.025). DISCUSSION: Cognitive sequelae of COVID-19 are likely to arise from a complex interplay between background/clinical premorbid features and disease-related/interventional procedures and outcomes. Mild-to-moderate patients requiring assistive ventilation who however are not admitted to an ICU are more likely to suffer from cognitive deficits-despite their etiology remaining elusive.

Screening for cognitive sequelae of SARS-CoV-2 infection: a comparison between the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA).

BACKGROUND: Due to SARS-CoV-2-related encephalopathic features, COVID-19 patients may show cognitive sequelae that negatively affect functional outcomes. However, although cognitive screening has been recommended in recovered individuals, little is known about which instruments are suitable to this scope by also accounting for clinical status. This study thus aimed at comparatively assessing the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) in detecting cognitive deficits in post-COVID-19 patients premorbidly/contextually being or not at risk for cognitive deficits (RCD + ; RCD-). METHODS: Data from N = 100 COVID-19-recovered individuals having been administered both the MMSE and the MoCA were retrospectively analyzed separately for each group. RCD ± classification was performed by taking into consideration both previous and disease-related conditions. Equivalent scores (ESs) were adopted to examine classification performances of the two screeners. RESULTS: The two groups were comparable as for most background and cognitive measures. MMSE or MoCA adjusted scores were mostly unrelated to disease-related features. The two screeners yielded similar estimates of below-cut-off performances-RCD + : MMSE: 20%, MoCA: 23.6%; RCD-: MMSE: 2.2%, MoCA: 4.4%. However, agreement rates dropped when also addressing borderline, "low-end" normal, and normal ability categories-with the MoCA attributing lower levels than the MMSE (RCD + : Cohen's k = .47; RCD-: Cohen's k = .17). DISCUSSION: Although both the MMSE and the MoCA proved to be equally able to detect severe cognitive sequelae of SARS-CoV-2 infection in both RCD + and RCD- patients, the MoCA appeared to be able to reveal sub-clinical defects and more sharply discriminate between different levels of ability.

Episodic long-term memory in post-infectious SARS-CoV-2 patients.

BACKGROUND: Episodic long-term memory (LTM) difficulties/deficits are frequent in COVID-19-recovered patients and negatively impact on prognosis and outcome. However, little is known about their semiology and prevalence, also being still debated whether they arise from primary amnesic features or are secondary to dysexecutive/inattentive processes and disease-related/premorbid status. Hence, this study aimed at (1) assessing LTM functioning in post-infectious SARS-CoV-2 patients by accounting for premorbid and disease-related confounders and (2) exploring its cognitive etiology. METHODS: Measures of global cognition (Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA)) and LTM (Babcock Memory Test (BMT)) of fifty-four COVID-19-recovered patients were retrospectively collected. Patients were subdivided into those being already at risk or not for cognitive decline (RCD + ; RCD -). Cognitive measures were converted into equivalent scores (ESs). RESULTS: LTM sub-clinical/clinical deficits (ESs = 0/1) were mildly-to-moderately prevalent in both RCD + (MoCA-Memory, 31.8%; BMT, 31.8%) and RCD - (MoCA-Memory, 28.6%; BMT, 39.3%) patients. MMSE and MoCA total scores, but not the MoCA-Attention subtest, were associated with the BMT. RCD + asymptomatic patients performed better on the BMT (p = .033) than those requiring O2 therapy (but not ventilation). DISCUSSION: COVID-19-recovered individuals might show LTM deficits of both primary and secondary etiology and should be thus screened for them, especially those having suffered mid-to-moderate COVID-19 and those already being at risk for cognitive decline. Both I- and II-level measures of verbal LTM can be adopted, although the former might be more sensitive.

Cognitive and Emotional Disturbances Due to COVID-19: An Exploratory Study in the Rehabilitation Setting.

The coronavirus disease 19 (COVID-19) can cause neurological, psychiatric, psychological, and psychosocial impairments. Literature regarding cognitive impact of COVID-19 is still limited. The aim of this study was to evaluate cognitive deficits and emotional distress among COVID-19 and post-COVID-19 patients who required functional rehabilitation. Specifically, this study explored and compared cognitive and psychological status of patients in the subacute phase of the disease (COVID-19 group) and patients in the postillness period (post-COVID-19 group). Forty patients admitted to rehabilitation units were enrolled in the study and divided into two groups according to the phase of the disease: (a) COVID-19 group (n = 20) and (b) post-COVID-19 group (n = 20). All patients underwent a neuropsychological assessment including Mini-Mental State Evaluation (MMSE), Montreal Cognitive Assessment (MoCA), Hamilton Rating Scale for Depression, and Impact of Event Scale-Revised (IES-R). A larger part of the COVID group showed neuropsychological deficits in the total MMSE (35%) compared to the post-COVID group (5%), whereas the majority of both groups (75-70%) reported cognitive impairments in the total MoCA. The post-COVID group reported significantly higher score in MMSE subtests of language (p = 0.02) and in MoCA subtests of executive functions (p = 0.05), language (p = 0.01), and abstraction (p = 0.02) compared to the COVID group. Regarding emotional disturbances, ~40% of patients presented with mild to moderate depression (57.9-60%). The post-COVID-19 group reported significantly higher levels of distress at the IES-R compared to the COVID group (p = 0.02). These findings highlight the gravity of neuropsychological and psychological symptoms that can be induced by COVID-19 infection and the need for tailored rehabilitation, including cognitive training and psychological support.

Decreased information processing speed and decision-making performance in alcohol use disorder: combined neurostructural evidence from VBM and TBSS.

Alcohol Use Disorder (AUD) is a chronic relapsing condition characterized by excessive alcohol consumption despite its multifaceted adverse consequences, associated with impaired performance in several cognitive domains including decision-making. While choice deficits represent a core component of addictive behavior, possibly consecutive to brain changes preceding the onset of the addiction cycle, the evidence on grey-matter and white-matter damage underlying abnormal choices in AUD is still limited. To fill this gap, we assessed the neurostructural bases of decision-making performance in 22 early-abstinent alcoholic patients and 18 controls, by coupling the Cambridge Gambling Task (CGT) with quantitative magnetic resonance imaging metrics of grey-matter density and white-matter integrity. Regardless of group, voxel based morphometry highlighted an inverse relationship between deliberation time and grey-matter density, with alcoholics displaying slower choices related to grey-matter atrophy in key nodes of the motor control network. In particular, grey-matter density in the supplementary motor area, reduced in alcoholic patients, explained a significant amount of variability in their increased deliberation time. Tract-based spatial statistics revealed a significant relationship between CGT deliberation time and all white-matter indices, involving the most relevant commissural, projection and associative tracts. The lack of choice impairments other than increased deliberation time highlights reduced processing speed, mediated both by grey-matter and white-matter alterations, as a possible marker of a generalized executive impairment extending to the output stages of decision-making. These results pave the way to further studies aiming to tailor novel rehabilitation strategies and assess their functional outcomes.