Cognitive changes in professional value and career development amid the COVID-19 pandemic: A qualitative study of nurses' experiences.

AIM: To explore cognitions in nurses' professional value and career development amid the COVID-19 pandemic and to analyse influencing factors. DESIGN: A qualitative descriptive study design was employed. METHODS: Thirty practising nurses from three general hospitals in Chengdu, China, were purposively recruited. Face-to-face semi-structured interviews were conducted. The content analysis was used for data analysis. RESULTS: After the outbreak of the COVID-19 pandemic, there were obvious cognitive changes in nurses' professional value, including improvement in the cognition of professional value, awareness of the broadening of the field of acting professional value, and realization of increasingly high requirements in careers. Approval and gratitude of patients, social recognition and attention, self-awareness of nurses were main influencing factors. For cognitive changes in career development, nurses became more motivated to develop their careers, had a clearer understanding of career development environment, and acquired a clearer understanding of what was needed to advance careers. Hospital support, social respect, family support, and team atmosphere were key influencing factors. CONCLUSIONS: The contributions made by nurses in the prevention and control of the COVID-19 pandemic have prompted positive changes in their cognition of professional value and career development. To promote nurses' positive understanding and approach to career development, measures should be taken by hospitals. Further, social respect, family support and team cooperation can enhance nurses' enthusiasm for career development.

Prodromal Cognitive Changes as a Prognostic Indicator of Forthcoming Huntington's Disease Severity: A Retrospective Longitudinal Study.

BACKGROUND: Cognitive changes in Huntington's disease (HD) precede motor manifestations. ENROLL-HD platform includes four cognitive measures of information processing speed (IPS). Our group is eager to seek clinical markers in the life stage that is as close as possible to the age of onset (ie, the so called prodromal HD phase) because this is the best time for therapeutic interventions. OBJECTIVES: Our study aimed to test whether cognitive scores in prodromal ENROLL-HD mutation carriers show the potential to predict the severity of motor and behavioral changes once HD became fully manifested. METHODS: From the global ENROLL-HD cohort of 21,343 participants, we first selected a premanifest Cohort#1 (ie, subjects with Total Motor Score (TMS) <10 and Diagnostic Confidence Level (DCL) <4, N = 1.222). From this cohort, we then focused on a prodromal Cohort#2 of subjects who were ascertained to phenoconvert into manifest HD at follow-up visits (ie, subjects from 6 ≤ TMS≤9 and DCL <4 to TMS≥10 and DCL = 4, n = 206). RESULTS: The main results of our study showed that low IPS before phenoconversion in Cohort#2 predicted the severity of motor and behavioral manifestations. By combining the four IPS cognitive measures (eg, the Categorical Verbal Fluency Test; Stroop Color Naming Test; Stroop Word Reading; Symbol Digit Modalities Test), we generated a Composite Cognition Score (CCS). The lower the CCS score the higher the TMS and the apathy scores in the same longitudinally followed-up patients after phenoconversion. CONCLUSIONS: CCS might represent a clinical instrument to predict the prognosis of mutation carriers who are close to manifesting HD.

The Level of Knowledge and Attitudes Toward Dementia Among Senior Medical Students in Recife, Brazil.

INTRODUCTION: Aging is no longer a phenomenon for society; it has become a reality in all countries, leading to a notable increase in the prevalence of dementia, a common condition among the elderly population. This situation highlights the importance of adequately preparing future healthcare professionals with the necessary knowledge and attitudes to effectively care for dementia patients. OBJECTIVE: This study aims to describe the knowledge and attitudes toward dementia among fifth- and sixth-year medical students at a prestigious medical school in Recife, Brazil. MATERIALS AND METHODS: A descriptive, analytical cross-sectional study was conducted in which participants answered questionnaires related to epidemiological and educational data of the involved students, the assessment of the sample's knowledge regarding dementia, and addressing attitude toward a patient with dementia. Data collection took place online, targeting fifth- and sixth-year medical students at the Faculdade Pernambucana de Saúde (FPS). RESULTS: A total of 111 students participated in the study, with a majority of females (73.9%), most of them in the fifth year of medical school (79.3%). While the majority of the students received training during their undergraduate studies on cognitive changes related to dementia (58.6%), this knowledge was mostly theoretical (64%), and only a few students took extracurricular courses on the subject (7.2%). Regarding the questionnaire evaluating students' knowledge, the overall mean was 6.69 points (on a scale of 0-14). Notably, there was no significant difference in correct answers among the tested areas of epidemiology, diagnosis, and management, with percentages of correct answers of 49.8%, 45.27%, and 52.53%, respectively. As for their attitudes toward dementia, the majority of students responded in a manner consistent with current literature and best practices for managing patients with functional dependence and cognitive changes. CONCLUSION: The results indicate that despite the notable rise in dementia cases across the world, the study revealed that the participants lacked essential knowledge about dementia. However, most of them demonstrated attitudes aligned with the best practices for managing dementia patients and their families. These data may suggest the need for greater attention in the teaching-learning process on the part of the medical school, as well as the promotion of extracurricular activities on this topic, in addition to enhancing the promotion of practical activities in geriatrics.

Cognitive changes associated with cerebral emboli during coronary intervention.

OBJECTIVE: To investigate factors influencing the frequency and type of microembolic signals (MES) detected using transcranial Doppler (TCD) in patients undergoing elective coronary intervention, and to correlate MES with silent stroke detected using magnetic resonance imaging (MRI) and cognitive dysfunction. METHODS: The subset study of a randomized clinical trial was conducted on 70 patients (58 males; mean age 59.9 ± 8.4 years) who underwent bilateral TCD monitoring of middle cerebral arteries (MCAs) during elective coronary interventions. Neurologic examination and brain MRI were performed prior to, and 24 h post­intervention. Cognitive function tests were performed prior to, and on day 30 post­intervention. RESULTS: The incidence of detected MES was 94.3 %. Eighteen (25.7 %) patients had new clinically asymptomatic ischemic lesions on MRI. The number of solid MES negatively correlated with changes in revised Addenbrooke's Cognitive Examination test (ACE-R) and, the number of solid MES and combinations of solid and gaseous MES negatively correlated with changes in Mini Mental­State Examination (MMSE) conducted on day 30 after the intervention (p < 0.05 in all cases). CONCLUSION: Cardiac catheterization was associated with a high risk of cerebral embolism in our patients. A higher number of solid MES and combinations of solid and gaseous MES was associated with the deterioration in cognitive tests (Tab. 5, Fig. 3, Ref. 30).

Establishing conversion of the 16-item Informant Questionnaire on Cognitive Decline in the Elderly scores into interval-level data across multiple samples using Rasch methodology.

BACKGROUND: The 16-item Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE-16) is a well-validated and widely-used measure of cognitive changes (CCs) among older adults. This study aimed to use Rasch methodology to establish psychometric properties of the IQCODE-16 and validate the existing ordinal-to-interval transformation algorithms across multiple large samples. METHODS: A Partial Credit Rasch model was employed to examine psychometric properties of the IQCODE-16 using data (n = 918) from two longitudinal studies of participants aged 57-99 years: the Older Australian Twins Study (n = 450) and the Canberra Longitudinal Study (n = 468), and reusing the Sydney Memory and Ageing Study (MAS) sample (n = 400). RESULTS: Initial analyses indicated good reliability for the IQCODE-16 (Person Separation Index range: 0.82-0.90). However, local dependency was identified between items, with several items showing misfit to the model. Replicating the existing Rasch solution could not reproduce the best Rasch model fit for all samples. Combining locally dependent items into three testlets resolved all misfit and local dependency issues and resulted in the best Rasch model fit for all samples with evidence of unidimensionality, strong reliability, and invariance across person factors. Accordingly, new ordinal-to-interval transformation algorithms were produced to convert the IQCODE-16 ordinal scores into interval data to improve the accuracy of its scores. CONCLUSIONS: The findings of this study support the reliability and validity of the IQCODE-16 in measuring CCs among older adults. New ordinal-to-interval conversion tables generated using samples from multiple independent datasets are more generalizable and can be used to enhance the precision of the IQCODE-16 without changing its original format. An easy-to-use converter has been made available for clinical and research use.

Predictive signature of static and dynamic functional connectivity for ECT clinical outcomes.

Introduction: Electroconvulsive therapy (ECT) remains one of the most effective approaches for treatment-resistant depressive episodes, despite the potential cognitive impairment associated with this treatment. As a potent stimulator of neuroplasticity, ECT might normalize aberrant depression-related brain function via the brain's reconstruction by forming new neural connections. Multiple lines of evidence have demonstrated that functional connectivity (FC) changes are reliable indicators of antidepressant efficacy and cognitive changes from static and dynamic perspectives. However, no previous studies have directly ascertained whether and how different aspects of FC provide complementary information in terms of neuroimaging-based prediction of clinical outcomes. Methods: In this study, we implemented a fully automated independent component analysis framework to an ECT dataset with subjects (n = 50, age = 65.54 ± 8.92) randomized to three treatment amplitudes (600, 700, or 800 milliamperes [mA]). We extracted the static functional network connectivity (sFNC) and dynamic FNC (dFNC) features and employed a partial least square regression to build predictive models for antidepressant outcomes and cognitive changes. Results: We found that both antidepressant outcomes and memory changes can be robustly predicted by the changes in sFNC (permutation test p < 5.0 × 10-3). More interestingly, by adding dFNC information, the model achieved higher accuracy for predicting changes in the Hamilton Depression Rating Scale 24-item (HDRS24, t = 9.6434, p = 1.5 × 10-21). The predictive maps of clinical outcomes show a weakly negative correlation, indicating that the ECT-induced antidepressant outcomes and cognitive changes might be associated with different functional brain neuroplasticity. Discussion: The overall results reveal that dynamic FC is not redundant but reflects mechanisms of ECT that cannot be captured by its static counterpart, especially for the prediction of antidepressant efficacy. Tracking the predictive signatures of static and dynamic FC will help maximize antidepressant outcomes and cognitive safety with individualized ECT dosing.

Brain structural abnormalities and cognitive changes in a patient with 17q21.31 microduplication and early onset dementia: a case report.

OBJECTIVES: We describe brain structural damage and cognitive profile evolution of an adult patient with 17q21.31 microduplication, a rare condition associated with psychomotor delay, behavioural disturbances and poor social interaction. METHODS: A.B., 57 years old, male, displayed obsessive and repetitive behaviours, irritability, scarce hygiene and memory loss at disease onset. He had strong familiarity for adult-onset behavioural alterations (his father and sister) and neuropsychiatric conditions (his son). Blood and cerebrospinal fluid (CSF) samples revealed 17q21.31 microduplication, shared also by his son and sister, and raised CSF tau, respectively. He was hospitalized 1 year after disease onset and underwent an MRI scan and a neuropsychological assessment, the latter being repeated 7 months later. To quantitatively investigate patient's grey matter (GM) volume, 16 age- and education-matched male controls were selected and voxel-based morphometry analysis was performed. RESULTS: During hospitalization, his behavioural profile was characterized by anosognosia, impulsivity, apathy and aggressiveness. Cognitive testing revealed main attentive-executive disturbances and difficulties in understanding non-literal language. Compared to controls, A.B. had greater GM atrophy mainly in the right hemisphere, involving amygdala, hippocampus, inferior/superior temporal gyri and temporal pole. He received a diagnosis of early onset dementia. After 7 months, he developed empathy loss, perseverative behaviour, changes in eating habits and worsening in executive-attentive abilities. CONCLUSIONS: In A.B., 17q21.31 microduplication caused a neurodegenerative condition with prevalent right temporal damage, raised CSF tau level, behavioural disturbances, memory impairment, attentive-executive and abstract language dysfunctions and fast disease progression, thus reflecting the complex interaction between such genetic substrate and clinical phenotypes.

Longitudinal associations between sleep duration and cognitive impairment in Chinese elderly.

Background: Age-associated cognitive decline has become a major threat to both personal welfare and public health and can further develop into Dementia/Alzheimer's disease. Sleep is significantly correlated with cognitive function, but both cognitive impairment and sleep problems increase with normal aging. This study explored how sleep duration affects cognitive performance among older adults in China. Methods: Using data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2014 and 2018, cognitive function was assessed via the Mini-Mental State Examination (MMSE), which included five domains: orientation, registration, attention or calculation, recall, and language. Logistic regression was used to examine whether the change in sleep duration was a risk factor for cognitive impairment. We also used multinomial logistic regression to study the impact of sleep duration and the changes in sleep duration on cognitive changes during the follow-up period. Results: The empirical study showed a U-shaped relationship between sleep duration and increased risk of cognitive impairment. Short (< 6 hours) and long (> 8 hours) sleep durations were positively associated with cognitive impairment. Tests of interactions between sleep duration and sleep quality showed that short sleep durations with fair sleep quality had an increased risk of cognitive impairment. Further, the participants were divided into three groups: normal cognition (MMSE > 24), mild cognitive impairment (MCI, 18 ≤ MMSE score ≤ 24), and severe cognitive impairment (MMSE < 18). First, of the participants with normal cognition at baseline, those who sleeping > 7 h at follow-up and > 7 h at both baseline and 4-year follow-up assessments could increase the risk of cognitive impairment. Second, for individuals with MCI at baseline, those who transitioned to sleeping > 7 h at follow-up period and > 7 h at both baseline and 4-year follow-up assessments had a lower chance of reverting to normal cognition. Conclusion: Excessive sleep may be a major risk for cognitive impairment among older adults. Furthermore, a moderate amount of sleep could be a possible strategy to prevent cognitive impairment.

Emotion recognition dysfunction after anesthesia and cardiac surgery.

Cognitive dysfunction after anesthesia and surgery has long been recognized. Recently, researchers provided empirical evidence for social cognition dysfunction (SCD) after anesthesia and surgery. In the present study, we concentrated on the deficits in emotion recognition, one of the most important clinical perspectives in SCD, in patients who underwent cardiac surgery. Biological motion (BM) was considered as the stimulus of interest, and patients' abilities of BM emotion perception and action perception before and after anesthesia and surgery were examined. In total, 60 adult patients (40-72 years old) completed the BM recognition task, which required them to label the types of actions and emotions of perceived BM. The results showed that while action perception remained intact after cardiac surgery, 18.3% of patients exhibited deficits in emotion perception, further confirming the existence of SCD after anesthesia and surgery.

Cognitive changes with psychomotor skill acquisition through blended learning among nursing students: A qualitative study.

AIM: This study described nursing students' cognitive changes as they acquire psychomotor skills through blended learning. BACKGROUND: Deliberate practice, including feedback from teachers, is vital for acquiring psychomotor skills. Blended learning, a program that allows students to deepen their learning and improve their skills even when students and faculty are physically separated has attracted significant attention in recent years. Although blended learning has been used for learning in the cognitive domain, no study has examined its effectiveness in the acquisition of psychomotor skills. Understanding how students' cognition changes as they acquire skills in a blended learning environment could be a valuable resource for effective teaching. DESIGN: An inductive, qualitative description approach was adopted. METHODS: The program involved a basic nursing skill: making an occupied bed. Eleven second-year nursing students participated. The participants attended face-to-face lectures and e-learning courses comprising self-study content that was designed for easy and frequent reference. Students practiced for a skill test, which was conducted one month after the first lecture. Two interviews were conducted approximately one month apart. Before each interview, the participants' current practices were videotaped. During the interviews, they explained their thought processes and conscious awareness of their actions as they watched the videos. This study was conducted between April and May 2019. RESULTS: Six categories related to changes in participants' cognitive processes while acquiring the skill of making an occupied bed were identified: "feeling that it is easy to acquire," "practicing without much thought," "realizing the difficulty in translating thoughts into practice," "experiencing a sense of purpose in each technique," "gaining a perspective to evaluate one's skills," and "developing one's unique approach." CONCLUSIONS: In a blended learning environment, where a practice environment and audiovisual materials were provided, students could practice and improve their skills at their own pace even without the instructor's frequent advice. The findings show that metacognitive skills are essential to the development of psychomotor skills in a blended learning program because this program requires practicing while monitoring one's skills. Metacognitive skills affect the development of psychomotor skills and the ability to provide care. Therefore, initiatives that address the development of metacognitive skills, such as the current program, during the early stages of basic education programs can contribute to the development of nursing students' practical skills.

Psycholinguistic Assessment of Cognitive Function in Breast Cancer Survivors.

OBJECTIVES: To gather preliminary data on correlations among psycholinguistic measures, self-report of cognitive function, and performance on neurocognitive tests in breast cancer survivors. SAMPLE & SETTING: Participants were breast cancer survivors who reported issues with cognitive function after completion of chemotherapy. This secondary analysis used data from participants in parent studies at two National Cancer Institute-designated cancer centers. METHODS & VARIABLES: Qualitative interview transcripts (N = 52) underwent psycholinguistic analyses for grammatical and semantic complexity. Relationships among six psycholinguistic variables, self-report of cognitive function, and performance on neurocognitive tests were examined. RESULTS: Three grammatical complexity variables had a significant positive correlation to self-report of cognitive function. One semantic complexity variable had a significant positive correlation to delayed recall neurocognitive tests. IMPLICATIONS FOR NURSING: Results suggest that psycholinguistic analysis may be used to assess cognitive function among breast cancer survivors. Confirmatory studies are needed to establish the correlation between psycholinguistic measures, self-report of cognitive function, and domain-specific tests of neurocognitive performance, as well as to evaluate longitudinal sensitivity to change.

Utility of sample entropy from intraoperative cerebral NIRS oximetry data in the diagnosis of postoperative cognitive improvement.

Background: Appropriate monitoring and early recognition of postoperative cognitive improvement (POCI) are essential. Near-infrared spectroscopy (NIRS) showed the predictive potential of POCI. Non-linear dynamical analysis is a powerful approach for understanding intraoperative regional cerebral oxygen saturation (rSO2). Objective: We hypothesized that the sample entropy (SampEn) value of intraoperative rSO2 has the potential to predict POCI. Methods: This retrospective cohort study was conducted from June 2019 and December 2020 in a tertiary hospital in Beijing, China. A total of 126 consecutive patients who underwent carotid endarterectomy (CEA) were screened. 57 patients were included in this analysis. The primary outcome was the diagnostic accuracy of rSO2 for the prediction of POCI. Results: 33 patients (57.9%) developed POCI on postoperative day. The SampEn values of rSO2 were significantly higher in the POCI group (p < 0.05). SampEn remained an independent predictor of POCI in multivariate analysis. The area under the ROC curve (AUC) value of SampEn of rSO2 for POCI were 0.706 (95% CI, 0.569-0.843; p = 0.008). Addition of preoperative MoCA assessment and blood pressure-lowering treatment increased the AUC to 0.808 (95% CI, 0.697-0.919; p < 0.001). Conclusions: The SampEn value of rSO2 showed promise as a predictor of POCI. Non-linear analysis could be used as a supplementary method for intraoperative physiological signals.

Clinical Factors Contributing to Cognitive Function in the Acute Stage after Treatment of Intracranial Aneurysms: A Cross-Sectional Study.

Background: The factors affecting cognitive function after treatment of subarachnoid haemorrhage (SAH) can be categorised into aneurysmal factors, procedural factors, and complications. The aim of this study was to investigate which of these factors has greater influence on the cognitive function. Methods: We retrospectively identified 14 patients with unruptured intracranial aneurysms (UIAs) and 34 patients with SAH with mild symptoms at disease onset (Hunt and Hess grade: >3). All patients underwent neuropsychological tests within 35 days of discharge from hospitalisation for treatment. The relationship between the clinical factors and each neuropsychological test score was evaluated using multiple linear regression analysis after controlling for age and years of education. Results: Patients with UIA showed greater cognitive impairment in visual memory and the frontal/executive domains. Hypertension was associated with cognitive impairment. Patients with SAH showed greater cognitive impairment in the visuospatial, verbal memory, and frontal/executive domains. The dome-to-neck ratio, aneurysms located in the posterior circulation, microsurgical clipping, procedure time, anaesthesia duration, and complications were associated with cognitive impairment. Conclusions: Underlying diseases, procedural factors, and complications contributed to cognitive impairment after treatment of intracranial aneurysms. Since the effect of each factor on each cognitive domain was slightly different, a more in-depth study of these effects is needed.

Cognitive impairment in women newly diagnosed with thyroid cancer before treatment.

PURPOSE: The study aims to assess cognitive function in women newly diagnosed with non-metastatic thyroid cancer before any treatment and to identify factors associated with cognitive problems. METHODS: Korean women newly diagnosed with thyroid cancer awaiting initial surgical treatment (n = 130) completed neuropsychological tests and self-report questionnaires on symptom distress and psychological distress. Additionally, information on thyroid function was obtained through a medical chart audit. Descriptive statistics and multivariable regression analyses were performed to describe the incidence of cognitive problems and to identify possible predictors of neuropsychological performance. RESULTS: Approximately 95% of women newly diagnosed with thyroid cancer had impaired neuropsychological test scores on one or more tests of attention and cognitive control. Further analyses found that 78% of women met both the Global Deficit Score and the International Cancer and Cognition Task Force criteria for impairment. Finally, regression analyses found that older age, fewer years of education, greater depressed mood, and having a hypothyroid state but not having a comorbid condition, fatigue, sleep problems, symptom burden, or symptom interference were associated with worse neuropsychological test performance in this sample. Additional explorative regression analysis using mean T-scores corrected for age, education, and gender continued to find that hypothyroid state was associated with worse neuropsychological test performance. CONCLUSIONS: Findings suggest that individuals newly diagnosed with non-metastatic thyroid cancer are vulnerable to cognitive deficits at diagnosis before any treatment. As such, healthcare workers should assess individuals newly diagnosed with thyroid cancer diagnosis awaiting treatment for the disease for cognitive deficits and intervene to reduce symptom distress and optimize function.

Diferencias en la atención sostenida en jóvenes universitarios con distintos niveles de uso de smartphone / Differences in sustained attention in young university students with different levels of smartphone use

Resumen El uso constante de los dispositivos móviles está generando nuevos fenómenos de comportamiento. En años recientes, se ha puesto énfasis en los cambios cognitivos que se podrían generar en los jóvenes que hacen uso excesivo de estos dispositivos. El objetivo del trabajo fue conocer las diferencias en la atención sostenida en jóvenes universitarios asociadas a distintos niveles de uso del teléfono inteligente. Se obtuvo una muestra de 94 adultos, 34 hombres y 60 mujeres de 18 a 23 años (M = 19.34, DE = 1.09) alumnos de la escuela superior de Actopan, Hidalgo-México. Se aplicó la Escala de Dependencia y Adicción al Smartphone EDAS (Aranda-López et al., 2017) y una prueba computarizada de ejecución continua (CPT) Test of Atenttional Vigilance (TOAV; Mueller y Pipper, 2014). Se realizó un ANOVA de una vía, en el que la variable independiente fue el nivel de uso del teléfono inteligente (sin dependencia, dependencia y adicción) y la variable dependiente fueron las puntuaciones obtenidas en el TOAV. Se observó que existen diferencias significativas a nivel estadístico en lo relativo a errores de omisión de la segunda mitad de la prueba (p = .005); las diferencias fueron entre los grupos de sin dependencia-dependencia (p = .010) y sin dependencia-adicción (p = .024). Acorde a los hallazgos del presente estudio, existen diferencias en el proceso de atención sostenida entre usuarios con diferentes niveles de uso del teléfono inteligente; los estudiantes con niveles de dependencia y adicción enfrentan dificultades en la atención sostenida cuando la tarea se prolonga y aumenta la demanda cognitiva.

Abstract The constant use of mobile devices changed our lives dramatically during the past years and its usage increased over the years. Smartphone use is associated with isolation and interpersonal problems; its overuse can cause cognitive problems too (Matar Boumosleh & Jaalouk, 2017). Cognitive problems associated with smartphones in young people are reduction of sustained attention and working memory. Findings have been reported in which younger populations show deterioration in different components of care, highlighting the difficulty of walking and using the smartphone at the same time (Prupetkaew et al., 2019). It has been reported that the impulsivity associated with use of smartphone in silent mode interferes in memory tests unlike when it is in off mode in young populations (Canale et al., 2019). It is necessary to evaluate the effects of using a smartphone on young people because it is a population that uses it constantly to develop in work, academic, sports, and even socializing activities. The aim of this paper was to find out the differences in sustained attention in young university students with different levels of smartphone use. A sample of 94 adults, 34 men and 60 women between the ages of 18 and 23 (M = 19.34, SD = 1.09), who were students of the higher school of Actopan, Hidalgo-Mexico. The EDAS -Smartphone Dependency and Addiction Scale- was applied (Aranda-López et al., 2017). For the evaluation of attention, a Computerized Continuous Running Test (CPT), Test of Attentional Vigilance (TOAV) was applied using the Psychology Experimental Building Language PEBL-2 platform (Mueller & Pipper, 2014). The inclusion criteria were that the participants were between 18-23 years old, right-handed, with normal and/or corrected vision. They were excluded from the investigation if they had a history of psychiatric and/or neurological diseases, learning difficulties, chronic alcohol and/or drug use. A one-way ANOVA was performed, where the independent variable was the level of smartphone use (no dependence, dependence and addiction) and the dependent variable was the scores obtained in the TOAV. It was observed that there are statistically significant differences in the errors of omission of the second half of the test (p = .05), the differences were found between the groups of no dependence-dependence (p =.10) and without dependence-addiction (p = .24). The results showed that there are differences in the execution of a neuropsychological task, regarding the omission errors of the second part of the test. These differences could suggest that the level of sustained attention is diminished in the participants of the dependency and addiction group at the end of the task. On the other hand, it is also concluded that students with levels of dependence and smartphone addiction face attention difficulties when the task is longer and cognitive demand increases. This type of data must be analyzed taking into consideration variables such as sex, socioeconomic level, age, profile of use, quality of sleep, level of physical activity, among others.

Ability of older adults to recognize cognitive changes and its relationship with mental health: a cross-sectional study.

INTRODUCTION: With rising age, the incidence of physical and mental problems increases. Physiological and social changes occur across the lifespan that can affect an individual's health and ability. The present study was aimed to determine older adult's ability to recognize cognitive changes and its relation with mental health status. MATERIALS AND METHODS: A descriptive correlational design was used to recruit 423 older adults who were referred to health centers in Tabriz, Iran in 2019 to receive primary health care. A systematic random sampling method was used for selecting participants. Data collection tools included a demographic-social questionnaire, General Health Questionnaire for assessing mental health (with 4 subscales) and a questionnaire of ability to recognize cognitive changes (with 8 sub-scales). Data were analyzed using descriptive statistics and inferential statistics. RESULTS: The mean score of mental health of the older adults was 56.35 (8.40) which shows moderately impaired mental health. The most impaired aspect of mental health detected was the social function dimension 13.20 (2.67). The average of the total ability score was 41.19 (4.78) and the physical strength dimension had the highest average of 9.08 (1.80) and the empowerment obligation dimension had the lowest average of 3.06 (1.08). There was significant relationship between dimensions of depression (r = 0.21, p < 0.001), anxiety (r = 0.1, p = 0.04) and social functioning (r = 0.17), p < 0.001) with the ability to recognize cognitive changes of the older adults. CONCLUSION: Negative mood states and social functioning were associated with the ability to recognize cognitive changes in this population of older adults. This sample exhibited moderately impaired mental health status and relatively large burdens of untreated affective symptoms. Although causality cannot be determined with this cross-sectional design, use of social programs to keep older adults mentally active, as well as cognitive rehabilitation programs could be tested with longitudinal designs for their impact on cognitive change recognition.

Functional connectivity-based prediction of global cognition and motor function in riluzole-naive amyotrophic lateral sclerosis patients.

Amyotrophic lateral sclerosis (ALS) is increasingly recognized as a multisystem disorder accompanied by cognitive changes. To date, no effective therapy is available for ALS patients, partly due to disease heterogeneity and an imperfect understanding of the underlying pathophysiological processes. Reliable models that can predict cognitive and motor deficits are needed to improve symptomatic treatment and slow down disease progression. This study aimed to identify individualized functional connectivity-based predictors of cognitive and motor function in ALS by using multiple kernel learning (MKL) regression. Resting-state fMRI scanning was performed on 34 riluzole-naive ALS patients. Motor severity and global cognition were separately measured with the revised ALS functional rating scale (ALSFRS-R) and the Montreal Cognitive Assessment (MoCA). Our results showed that functional connectivity within the default mode network (DMN) as well as between the DMN and the sensorimotor network (SMN), fronto-parietal network (FPN), and salience network (SN) were predictive for MoCA scores. Additionally, the observed connectivity patterns were also predictive for the individual ALSFRS-R scores. Our findings demonstrate that cognitive and motor impairments may share common connectivity fingerprints in ALS patients. Furthermore, the identified brain connectivity signatures may serve as novel targets for effective disease-modifying therapies.

Improvements in Cognitive Performance With Computerized Training in Older People With and Without Cognitive Impairment: Synergistic Effects of Skills-Focused and Cognitive-Focused Strategies.

OBJECTIVES: Both cognitively impaired (CI) and nonimpaired (NC) older people have challenges in performing everyday tasks. Previous skills training efforts in NC individuals have led to improvements in both functional skills and cognitive functioning. We evaluated the cognitive benefits of combining computerized cognitive training (CCT) with a computer-based functional skills assessment and training (CFSAT) program in a sample of CI and NC older adults. DESIGN: Randomized parallel clinical trial with two treatment conditions: up to 24 sessions of CFSAT training alone or CFSAT plus speed focused CCT. PARTICIPANTS: NC (n = 62) and CI (n = 55) older adults, ranging in age from 60-86 years (M = 73.12), primarily female (90%), and ethnically diverse (21% Hispanic, 52% African American). Participants were divided based on Montreal Cognitive Assessment scores and cognitive complaints. SETTING: Three different community centers in Miami, FL. MEASUREMENTS: The Brief Assessment of Cognition, app version, was used to measure cognitive performance across six different cognitive domains before and after training. RESULTS: All six cognitive domains improved from baseline. Multivariate analyses found the effects of the combined CFSAT and CCT to be superior. The interaction of training condition and cognitive status was not statistically significant, indicating no global impact of cognitive status on improvements in cognition across training conditions. CONCLUSIONS: CFSAT training was associated with cognitive benefits, particularly in CI participants. The combined intervention led to greater improvements. Consistent with results of previous studies, there is considerable evidence of cognitive plasticity in older adults, including those with CI.

Longitudinal Changes in Cognition, Behaviours, and Functional Abilities in the Three Main Variants of Primary Progressive Aphasia: A Literature Review.

Primary progressive aphasias (PPAs) are a group of neurodegenerative diseases presenting with insidious and relentless language impairment. Three main PPA variants have been described: the non-fluent/agrammatic variant (nfvPPA), the semantic variant (svPPA), and the logopenic variant (lvPPA). At the time of diagnosis, patients and their families' main question pertains to prognosis and evolution, but very few data exist to support clinicians' claims. The objective of this study was to review the current literature on the longitudinal changes in cognition, behaviours, and functional abilities in the three main PPA variants. A comprehensive review was undertaken via a search on PUBMED and EMBASE. Two authors independently reviewed a total of 65 full-text records for eligibility. A total of 14 group studies and one meta-analysis were included. Among these, eight studies included all three PPA variants. Eight studies were prospective, and the follow-up duration was between one and five years. Overall, svPPA patients showed more behavioural disturbances both at baseline and over the course of the disease. Patients with lvPPA showed a worse cognitive decline, especially in episodic memory, and faster progression to dementia. Finally, patients with nfvPPA showed the most significant losses in language production and functional abilities. Data regarding the prodromal and last stages of PPA are still missing and studies with a longer follow-up observation period are needed.

Persistent COVID-19-associated neurocognitive symptoms in non-hospitalized patients.

As cases of coronavirus disease 2019 (COVID-19) mount worldwide, attention is needed on potential long-term neurologic impacts for the majority of patients who experience mild to moderate illness managed as outpatients. To date, there has not been discussion of persistent neurocognitive deficits in patients with milder COVID-19. We present two cases of non-hospitalized patients recovering from COVID-19 with persistent neurocognitive symptoms. Commonly used cognitive screens were normal, while more detailed testing revealed working memory and executive functioning deficits. An observational cohort study of individuals recovering from COVID-19 (14 or more days following symptom onset) identified that among the first 100 individuals enrolled, 14 were non-hospitalized patients reporting persistent cognitive issues. These 14 participants had a median age of 39 years (interquartile range: 35-56), and cognitive symptoms were present for at least a median of 98 days (interquartile range: 71-120 following acute COVID-19 symptoms); no participants with follow-up evaluation reported symptom resolution. We discuss potential mechanisms to be explored in future studies, including direct viral effects, indirect consequences of immune activation, and immune dysregulation causing auto-antibody production.