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Background: Pilot study showed that Alzheimer's disease resemblance atrophy index (AD-RAI), a machine learning-derived MRI-based neurodegeneration biomarker of AD, achieved excellent diagnostic performance in diagnosing AD with moderate to severe dementia. Objective: The primary objective was to validate and compare the performance of AD-RAI with conventional volumetric hippocampal measures in diagnosing AD with mild dementia. The secondary objectives were 1) to investigate the association between imaging biomarkers with age and gender among cognitively unimpaired (CU) participants; 2) to analyze whether the performance of differentiating AD with mild dementia from CU will improve after adjustment for age/gender. Methods: AD with mild dementia (n = 218) and CU (n = 1,060) participants from 4 databases were included. We investigated the area under curve (AUC), sensitivity, specificity, and balanced accuracy of AD-RAI, hippocampal volume (HV), and hippocampal fraction (HF) in differentiating between AD and CU participants. Among amyloid-negative CU participants, we further analyzed correlation between the biomarkers with age/gender. We also investigated whether adjustment for age/gender will affect performance. Results: The AUC of AD-RAI (0.93) was significantly higher than that of HV (0.89) and HF (0.89). Subgroup analysis among A + AD and A- CU showed that AUC of AD-RAI (0.97) was also higher than HV (0.94) and HF (0.93). Diagnostic performance of AD-RAI and HF was not affected by age/gender while that of HV improved after age adjustment. Conclusions: AD-RAI achieves excellent clinical validity and outperforms conventional volumetric hippocampal measures in aiding the diagnosis of AD mild dementia without the need for age adjustment. [ABSTRACT FROM AUTHOR]

Background The diagnostic accuracy of frameless stereotactic brain biopsy has been reported, but there is limited literature focusing on the reasons for nondiagnostic cases. In this study, we evaluate the diagnostic accuracy of frameless stereotactic brain biopsy, compare it with the current international standard, and review the field for improvement. Methods This is a retrospective analysis of consecutive, prospectively collected frameless stereotactic brain biopsies from 2007 to 2020. We evaluated the diagnostic accuracy of the frameless stereotactic brain biopsies using defined criteria. The biopsy result was classified as conclusive, inconclusive, or negative, based on the pathologic, radiologic, and clinical diagnosis concordance. For inconclusive or negative results, we further evaluated the preoperative planning and postoperative imaging to review the errors. A literature review for the diagnostic accuracy of frameless stereotactic biopsy was performed for the validity of our results. Results There were 106 patients with 109 biopsies performed from 2007 to 2020. The conclusive diagnosis was reached in 103 (94.5%) procedures. An inconclusive diagnosis was noted in four (3.7%) procedures and the biopsy was negative in two (1.9%) procedures. Symptomatic hemorrhage occurred in one patient (0.9%). There was no mortality in our series. Registration error (RE) and inaccurate targeting occurred in three trigonal lesions (2.8%), sampling of the nonrepresentative part of the lesion occurred in two cases (1.8%), and one biopsy (0.9%) for lymphoma was negative due to steroid treatment. The literature review suggested that our diagnostic accuracy was comparable with the published literature. Conclusion The frameless stereotactic biopsy is a safe procedure with high diagnostic accuracy only if meticulous preoperative planning and careful intraoperative registration is performed. The common pitfalls precluding a conclusive diagnosis are RE and biopsies at nonrepresentative sites. [ABSTRACT FROM AUTHOR]

Background Observable symptoms of Bell's palsy following vaccinations arouse concern over the safety profiles of novel coronavirus disease 2019 (COVID-19) vaccines. However, there are only inconclusive findings on Bell's palsy following messenger (mRNA) COVID-19 vaccination. This study aims to update the previous analyses on the risk of Bell's palsy following mRNA (BNT162b2) COVID-19 vaccination. Methods This study included cases aged ≥16 years with a new diagnosis of Bell's palsy within 28 days after BNT162b2 vaccinations from the population-based electronic health records in Hong Kong. Nested case-control and self-controlled case series (SCCS) analyses were used, where the association between Bell's palsy and BNT162b2 was evaluated using conditional logistic and Poisson regression, respectively. Results Totally 54 individuals were newly diagnosed with Bell's palsy after BNT162b2 vaccinations. The incidence of Bell's palsy was 1.58 (95% confidence interval [CI], 1.19–2.07) per 100 000 doses administered. The nested case-control analysis showed significant association between BNT162b2 vaccinations and Bell's palsy (adjusted odds ratio [aOR], 1.543; 95% CI, 1.123–2.121), with up to 1.112 excess events per 100 000 people who received 2 doses of BNT162b2. An increased risk of Bell's palsy was observed during the first 14 days after the second dose of BNT162b2 in both nested case-control (aOR, 2.325; 95% CI, 1.414–3.821) and SCCS analysis (adjusted incidence rate ratio, 2.44; 95% CI, 1.32–4.50). Conclusions There was an overall increased risk of Bell's palsy following BNT162b2 vaccination, particularly within the first 14 days after the second dose, but the absolute risk was very low. [ABSTRACT FROM AUTHOR]

Image‐guided repetitive transcranial magnetic stimulation (rTMS) has shown clinical effectiveness in senior adults with co‐occurring depression and cognitive impairment, yet the imaging markers for predicting the treatment response are less investigated. In this clinical trial, we examined the efficacy and sustainability of 10 Hz rTMS for the treatment of depression and cognitive impairment in major neurocognitive disorder (NCD) patients and tested the predictive values of imaging‐informed radiomic features in response to rTMS treatment. Fifty‐five major NCD patients with depression were randomly assigned to receive a 3‐week rTMS treatment of either active 10 Hz rTMS (n = 27) or sham rTMS (n = 28). Left dorsolateral prefrontal cortex (DLPFC) was the predefined treatment target. Based on individual structural magnetic resonance imaging scans, surface‐based analysis was conducted to quantitatively measure the baseline radiomic features of left DLPFC. Severity of depression, global cognition and the serum brain‐derived neurotrophic factor (BDNF) level were evaluated at baseline, 3‐, 6‐ and 12‐week follow‐ups. Logistic regression analysis revealed that advanced age, higher baseline cognition and randomized group were associated with the remission of depression. Increased cortical thickness and gyrification in left DLPFC were the significant predictors of clinical remission and cognitive enhancement. A 3‐week course of 10 Hz rTMS is an effective adjuvant treatment for rapid ameliorating depressive symptoms and enhancing cognitive function. Pre‐treatment radiomic features of the stimulation target can predict the response to rTMS treatment in major NCD. Cortical thickness and folding of treatment target may serve as imaging markers to detect the responders. ChiCTR‐IOR‐16008191, registered on March 30, 2016. [ABSTRACT FROM AUTHOR]

Background: Although several studies have reported positive effects of mind-body exercises on symptom management and health-related quality of life (HRQOL) of people living with Parkinson's disease (PD), it is not known whether these effects are attributable to a change in anxiety and depression.Purpose: To compare the effects of mindfulness yoga to conventional stretching exercises in a randomized controlled trial while examining potentially mediating effects of anxiety and depression.Methods: 138 adults with PD were randomized to eight weekly yoga (n = 71) or stretching (n = 67) sessions. Symptom experiences, anxiety and depression, and HRQOL outcomes were assessed at baseline, immediate post-intervention, and 3-month post-intervention.Results: Generalized estimating equation analyses revealed that, compared to stretching, yoga significantly improved patients' nonmotor (time-by-group interaction, T1:β = -1.99, p = .008; T2:β = -2.86, p < .001) and motor (time-by-group interaction, T1:β = -1.77, p = .03) symptom experiences. The mediation analysis found that the changes in anxiety and depression were the mediators in the associations between non-motor experience and HRQOL; while only the changes in depression were found to be the mediator in the relationship between motor experience and HRQOL.Conclusions: Yoga is superior to conventional stretching exercises in improving nonmotor and motor symptoms in daily living. Reduced anxiety and depression play a role in mediating the positive effects of the mindfulness yoga intervention. To optimize HRQOL, rehabilitation should reinforce psychological care in addition to pharmacological treatments and physical relief of PD symptoms. Future studies are needed to identify strategies for facilitating the implementation and sustainability of mind-body rehabilitation to enhance the quality of care for PD. [ABSTRACT FROM AUTHOR]

Alzheimer's disease (AD) was recently defined as a biological construct to reflect neuropathologic status, and both abnormal amyloid and tau are required for a diagnosis of AD. We aimed to determine the proton MR spectroscopic (1H-MRS) patterns of the posterior cingulate in biologically defined AD. A total of 68 participants were included in this study, comprising 37 controls, 16 early AD, and 15 late AD, who were classified according to their amyloid and tau status and presence of hippocampal atrophy. Compared with controls, early AD showed lower N-acetylaspartate (NAA)/creatine (Cr) (p = 0.003), whereas late AD showed lower NAA/Cr and higher myoInositol (mI)/Cr (all with p < 0.05). Lower NAA/Cr correlated with a greater global amyloid load (r = −0.47, p < 0.001) and tau load (r = −0.51, p < 0.001) and allowed a discrimination of early AD from controls (p < 0.001). Subgroup analysis showed that NAA/Cr also allowed a differentiation of early AD from controls in the cognitively unimpaired subjects, with an area under the receiver operating characteristics curve, sensitivity, and specificity of 0.96, 100%, and 83.8%, respectively. Lower posterior cingulate NAA levels may help to inform underlying neuropathologic changes in the early stage of AD. [ABSTRACT FROM AUTHOR]

Background: Bell's palsy is a rare adverse event reported in clinical trials of COVID-19 vaccines. However, to our knowledge no population-based study has assessed the association between the inactivated SARS-CoV-2 vaccines and Bell's palsy. The aim of this study was to evaluate the risk of Bell's palsy after BNT162b2 and CoronaVac vaccination.Methods: In this case series and nested case-control study done in Hong Kong, we assessed the risk of Bell's palsy within 42 days following vaccination with BNT162b2 (Fosun-BioNTech [equivalent to Pfizer-BioNTech]) or CoronaVac (from Sinovac Biotech, Hong Kong) using data from voluntary surveillance reporting with the Hospital Authority, the COVID-19 Vaccine Adverse Event Online Reporting system for all health-care professionals, and the Hospital Authority's territory-wide electronic health records from the Clinical Data Analysis and Reporting System. We described reported cases of Bell's palsy among vaccine recipients (aged 18-110 years for CoronaVac and aged 16-110 years for BNT162b2). We compared the estimated age-standardised incidence of clinically confirmed cases among individuals who had received the CoronaVac or BNT162b2 vaccination (up to 42 days before presentation) with the background incidence in the population. A nested case-control study was also done using conditional logistic regression to estimate the odds ratio (OR) for risk of Bell's palsy and vaccination. Cases and controls were matched (1:4) by age, sex, admission setting, and admission date.Findings: Between February 23 and May 4, 2021, 451 939 individuals received the first dose of CoronaVac and 537 205 individuals received the first dose of BNT162b2. 28 clinically confirmed cases of Bell's palsy were reported following CoronaVac and 16 cases were reported following BNT162b2. The age-standardised incidence of clinically confirmed Bell's palsy was 66·9 cases per 100 000 person-years (95% CI 37·2 to 96·6) following CoronaVac vaccination and 42·8 per 100 000 person-years (19·4 to 66·1) for BNT162b2 vaccination. The age-standardised difference for the incidence compared with the background population was 41·5 (95% CI 11·7 to 71·4) for CoronaVac and 17·0 (-6·6 to 40·6) for BNT162b2, equivalent to an additional 4·8 cases per 100 000 people vaccinated for CoronaVac and 2·0 cases per 100 000 people vaccinated for BNT162b2. In the nested case-control analysis, 298 cases were matched to 1181 controls, and the adjusted ORs were 2·385 (95% CI 1·415 to 4·022) for CoronaVac and 1·755 (0·886 to 3·477) for BNT162b2.Interpretation: Our findings suggest an overall increased risk of Bell's palsy after CoronaVac vaccination. However, the beneficial and protective effects of the inactivated COVID-19 vaccine far outweigh the risk of this generally self-limiting adverse event. Additional studies are needed in other regions to confirm our findings.Funding: The Food and Health Bureau of the Government of the Hong Kong Special Administrative Region, China.Translation: For the Chinese translation of the abstract see Supplementary Materials section. [ABSTRACT FROM AUTHOR]

Post-stroke cognitive impairment (PSCI) adversely affects survivors' recovery trajectory and overall health outcomes. This study aimed to investigate the prevalence of PCSI and its associated risk factors. A cross-sectional study was conducted with stroke survivors recruited from the neurology units of three hospitals in Yunnan, China. Measures included the Frenchay Aphasia Screening Test (FAST), Apathy Evaluation Scale (AES), Fatigue Severity Scale (FSS), Informant Questionnaire for Cognitive Decline in the Elderly (IQCODE), Montreal Cognitive Assessment (MoCA), and Charlson Comorbidity Index (CCI). Logistic regression analysis was carried out to identify risk factors significantly and independently associated with PSCI. Of 389 stroke participants studied, 139 (36%) were found to have PSCI. Every 10-year increase in age [odds ratio (OR) =1.69, 95% confidence interval (CI): 1.27–2.24, p < 0.001], and 1-point increase in the AES (OR = 1.13, 95% CI: 1.07–1.18, p < 0.001) and FSS scores (OR = 1.06, 95% CI: 1.03–1.10, p < 0.001) were significantly associated with higher odds of PSCI. Conversely, a 1-point increase in the MoCA score (OR = 0.91, 95% CI: 0.87–0.95, p < 0.001) and having an undergraduate education (OR = 0.45, 95% CI: 0.24–0.84, p = 0.013) or postgraduate education (OR = 0.18, 95% CI: 0.06–0.50, p = 0.001) were associated with reduced odds of PSCI. PSCI is prevalent in the Chinese population, with advanced age, lower education levels, lower MoCA scores, and higher fatigue and apathy scores identified as strong risk factors. It is recommended that psychological and cognitive assessment be routinely incorporated into post-stroke rehabilitation pathways to mitigate cognitive decline. • Post-stroke cognitive impairment (PSCI) occurs in 36% of stroke survivors. • PSCI is associated with older age, lower education levels and higher fatigue and apathy scores. • Higher MoCA scores and post-secondary education were protective factors. [ABSTRACT FROM AUTHOR]

Objective: The purpose of this study was to investigate the differences in actigraphy-measured rest-activity patterns (eg, sleep-wake cycle, circadian rest-activity rhythm, and physical activity) across different stages of α-synucleinopathy.Methods: We compared alterations in 7-day actigraphy-measured rest-activity patterns among patients with clinically diagnosed α-synucleinopathies (n = 44), and their age-, sex-, and body mass index (BMI)-matched patients with idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD, n = 88), and non-rapid eye movement (REM) sleep behavior disorder (RBD) controls (n = 44) in a case-control study (study 1) and between convertors (n = 22) and their age-, sex-, BMI-, iRBD-duration, and follow-up duration-matched non-convertors (n = 66) in a prospective nested case-control study (study 2).Results: In study 1, there were significant increases (all p values were adjusted by false discovery rate < 0.01) in probable napping behaviors (percentage, duration, and episodes), activity fragmentation (estimated by kAR ), and physical inactivity during active periods across controls, and iRBD, to clinically diagnosed α-synucleinopathies. In study 2, higher levels (all p values were adjusted by false discovery rate < 0.05) of baseline objective probable napping, activity fragmentation, and physical inactivity during active periods were associated with the conversion of patients with iRBD into clinically diagnosed α-synucleinopathies at 2 years of follow-up with medium to large effect sizes (Cohen's d: 0.56 to 0.80). These findings were further supported by functional linear modeling analyses.Interpretation: Rest-activity pattern alterations, mainly objective probable napping behaviors, activity fragmentation, and physical inactivity during active period, emerge as early as at the stage of iRBD, which serves as early and robust prodromal markers of the conversion of iRBD into clinically diagnosed α-synucleinopathies. ANN NEUROL 2020;88:817-829. [ABSTRACT FROM AUTHOR]

To investigate (1) the effects of indoor incense burning upon cognition over 3 years; (2) the associations between indoor incense burning with the brain's structure and functional connectivity of the default mode network (DMN); and (3) the interactions between indoor incense burning and vascular disease markers upon cognitive functions. Community older adults without stroke or dementia were recruited (n = 515). Indoor incense use was self-reported as having burnt incense at home ≥ weekly basis over the past 5 years. Detailed neuropsychological battery was administered at baseline (n = 227) and the Montreal Cognitive Assessment at baseline and year 3 (n = 515). MRI structural measures and functional connectivity of the DMN were recorded at baseline. Demographic and vascular risk factors and levels of outdoor pollutants were treated as covariates. Indoor incense burning was associated with reduced performance across multiple cognitive domains at baseline and year 3 as well as decreased connectivity in the DMN. It interacted with diabetes mellitus, hyperlipidemia and white matter hyperintensities to predict poorer cognitive performance. Indoor incense burning is (1) associated with poorer cognitive performance over 3 years; (2) related to decreased brain connectivity; and (3) it interacts with vascular disease to predispose poor cognitive performance. [ABSTRACT FROM AUTHOR]

Background: One significant barrier to incorporate Alzheimer's disease (AD) imaging biomarkers into diagnostic criteria is the lack of standardized methods for biomarker quantification. The European Alzheimer's Disease Consortium-Alzheimer's Disease Neuroimaging Initiative (EADC-ADNI) Harmonization Protocol project provides the most authoritative guideline for hippocampal definition and has produced a manually segmented reference dataset for validation of automated methods.Purpose: To validate automated hippocampal volumetry using AccuBrain™, against the EADC-ADNI dataset, and assess its diagnostic performance for differentiating AD and normal aging in an independent cohort.Material and Methods: The EADC-ADNI reference dataset comprise of manually segmented hippocampal labels from 135 volumetric T1-weighted scans from various scanners. Dice similarity coefficient (DSC), intraclass correlation coefficient (ICC), and Pearson's r were obtained for AccuBrain™ and FreeSurfer. The magnetic resonance imaging (MRI) of a separate cohort of 299 individuals (150 normal controls, 149 with AD) were obtained from the ADNI database and processed with AccuBrain™ to assess its diagnostic accuracy. Area under the curve (AUC) for total hippocampal volumes (HV) and hippocampal fraction (HF) were determined.Results: Compared with EADC-ADNI dataset ground truths, AccuBrain™ had a mean DSC of 0.89/0.89/0.89, ICC of 0.94/0.96/0.95, and r of 0.95/0.96/0.95 for right/left/total HV. AccuBrain™ HV and HF had AUC of 0.76 and 0.80, respectively. Thresholds of ≤ 5.71 mL and ≤ 0.38% afforded 80% sensitivity for AD detection.Conclusion: AccuBrain™ provides accurate automated hippocampus segmentation in accordance with the EADC-ADNI standard, with great potential value in assisting clinical diagnosis of AD. [ABSTRACT FROM AUTHOR]

Objective: To determine the familial aggregation of idiopathic rapid eye movement sleep behavior disorder (iRBD), neurodegenerative diseases, and related biomarkers.Methods: A total of 404 and 387 first-degree relatives of 102 patients with iRBD and of 89 controls were recruited, respectively. Among them, 204 and 208 relatives of patients and controls underwent face-to-face clinical assessment, whereas 97 and 75 relatives underwent further video-polysomnographic assessment, respectively.Results: Compared with relatives of controls, relatives of patients demonstrated higher levels of RBD features, including chin tonic electromyography activity (mean = 1.5 ± 7.5 vs 0.3 ± 1.0, p = 0.04) and behavioral events (n [weighted %] = 12 [11.3] vs 2 [1.9], adjusted hazard ratio [aHR] = 7.69, 95% confidence interval [CI] = 1.54-33.33, p = 0.009) during rapid eye movement sleep, probable diagnosis (n [%] = 57 [14.9] vs 20 [4.9], aHR = 3.45, 95% CI = 1.96-6.25, p < 0.001), and definite diagnosis (n [weighted %] = 10 [8.4] vs 2 [1.4], aHR = 5.56, 95% CI = 1.16-25.00, p = 0.03). They also had higher risks of Parkinson disease (3.1% vs 0.5%, aHR = 5.88, 95% CI = 1.37-25.00, p = 0.02), dementia (6.9% vs 2.6%, aHR = 2.44, 95% CI = 1.15-5.26, p = 0.02), constipation (8.3% vs 2.4%, adjusted odds ratio = 4.21, 95% CI = 1.34-13.17, p = 0.01), and motor dysfunction (Movement Disorders Society Unified Parkinson's Disease Rating Scale part III motor score, mean = 1.9 ± 3.2 vs 0.9 ± 2.3, p = 0.002). The unaffected relatives of patients demonstrated a higher likelihood ratio of prodromal Parkinson disease (median [interquartile range] = 0.27 [1.19] vs 0.22 [0.51], p = 0.03).Interpretation: iRBD is familially aggregated from isolated features to full-blown sleep disorder. Relatives of patients carry a higher risk of alpha-synucleinopathy in terms of neurodegenerative diseases and prodromal markers, suggesting a familial aggregation and staging pathology of alpha-synucleinopathy. Ann Neurol 2019;85:582-592. [ABSTRACT FROM AUTHOR]

Aim. We assessed the impact of cerebral white matter lesions (WMLs) on lower urinary tract symptoms in subjects with normal neurological and cognitive function. Methods. A cohort of community-dwelling subjects aged ≥65 years were recruited to undergo MRI brain assessment. WMLs were graded using the Fazekas scale from 0 to 3. A separate telephone interview was carried out to assess the urinary symptoms in these subjects using the questionnaire Overactive Bladder-Validated 8-Question Awareness Tool (OAB-V8). Results. 800 community-dwelling elderly subjects were recruited to undergo MRI brain. In this cohort, 431 subjects responded to the telephone interview concerning their urinary symptoms. Among the respondents, 21.1% did not exhibit any WML on their MRI brain. Most of the subjects (52.6%) exhibited grade 1 WML. On logistic regression, age was found to be positively correlated with the Fazekas score (correlation coefficient 0.203, p≤0.01). Using a cutoff of 8 on OAB-V8, 22% of the respondents experienced OAB. Presence of WML, hypertension, or diabetes mellitus was not found to be correlated with storage urinary symptoms or OAB-V8 total score. Multiple logistic regression analysis did not show the presence of WML to be associated with the diagnosis of OAB (adjusted OR 1.13, 95% CI 0.65–1.96, p=0.659). Conclusions. WML is associated with age and is common in the elderly population. Mild WML is subclinical, with no obvious neurological and urinary symptoms. Our cohort did not demonstrate a relationship between WML and lower urinary tract symptoms. [ABSTRACT FROM AUTHOR]

Background: Psychological distress is prevalent among people with Parkinson's disease (PD) and aggravates their motor symptoms, thereby leading to increased disability, high healthcare costs, and poor health-related quality of life (HRQoL). The under-recognition and adverse effects of the pharmacological management of anxiety and depression among the PD population are considerable. Thus, adopting a Complementary and Alternative Management (CAM) approach to address this problem is important. Yoga, one of the most common "mind-body" CAM therapies, can improve the psychological wellbeing of people with chronic illnesses. However, limited research on the effects of yoga in people with PD has been conducted. This study will determine the effects of yoga on the psychological wellbeing of people with mild-to-moderate PD and will compare these effects with those of stretching and resistance training exercises.Methods: A community-based, single-blind, randomized trial will be conducted. A total of 126 subjects will be recruited and randomly divided into yoga (n = 63) or stretching and resistance exercise (n = 63) groups. For 8 weeks, the yoga group will receive a weekly 90-min session of yoga, and the control group will receive a weekly 60-min session of stretching and resistance exercises. The primary outcome will be the level of psychological distress measured using the Hospital Anxiety and Depression Scale. The secondary outcomes will include the severity of motor symptoms measured by the Movement Disorders Society - Unified Parkinson's Disease Scale - Part III Motor Examination; mobility, balance, and fall risk measured by the Timed Up and Go test; spiritual wellbeing measured by the Holistic Wellbeing Scale; and HRQoL measured by the Parkinson's Disease Questionnaire-8. Assessment will be conducted at baseline, 8th, and 20th weeks of follow-ups.Discussion: This study will be the first randomized trial to compare the effect of yoga versus stretching and resistance training exercises in a PD population. Results will contribute to the value of yoga as a therapeutic option for managing psychological distress in PD patients. Multiple outcomes including psychological, physiological, and spiritual and HRQoL will also be measured to elucidate the potential mechanisms of yoga. The effect of yoga on people with chronic illnesses will further be elucidated. This information should contribute to future research, practice, and policy related to PD management.Trial Registration: WHO Primary Registry - Chinese Clinical Trials Registry (ChiCTR): CUHK_CCRB00522 Registered on 8 October 2016; date of approval 19 August 2016. [ABSTRACT FROM AUTHOR]

Background: Computerized cognitive tests may serve as a preliminary, low-cost method to identify individuals with suspected cognitive impairment in the community.Objective: To develop a self-administered computerized test, namely the "Computerized Cognitive Screen (CoCoSc), Hong Kong version", for screening of individuals with cognitive impairment (CI) in community settings.Methods: The CoCoSc is a 15-min computerized cognitive screen covering memory, executive functions, orientation, attention and working memory, and prospective memory administered on a touchscreen computer. Individuals with CI and cognitively normal controls were administered the CoCoSc and the Montreal Cognitive Assessment (MoCA). Validity of the CoCoSc was assessed based on the relationship with the MoCA using Pearson correlation. Receiver operating characteristic curve (ROC) was used to examine the ability of the CoCoSc to differentiate CI from controls.Results: Fifty-nine individuals with CI and 101 controls were recruited. Seventy-five (46.9%) participants had ≤6 years of education. Performance on the CoCoSc differed between normal and CI groups in both low and high education subgroups. Total scores of the CoCoSc and MoCA were significantly correlated (r = 0.71, p < 0.001). The area under ROC was 0.78, p < 0.001 for the CoCoSc total score in differentiating the CI group from the cognitively normal group. A cut-off of ≤30 on the CoCoSc was associated with a sensitivity of 0.78 and specificity of 0.69. The CoCoSc was well accepted by attendees of community social centers.Conclusion: The CoCoSc is a promising computerized cognitive screen for self-administration in community social centers. It is feasible for testing individuals with high or low education levels. [ABSTRACT FROM AUTHOR]

Background and Purpose: Poststroke fatigue (PSF) is a frequent and persistent problem in stroke survivors. The neuroanatomical model of PSF remains unclear. This study examined the association between PSF and cerebral microbleeds (CMBs). Methods: The sample comprised 199 patients with acute ischemic stroke. A psychiatrist who was blind to the subjects' radiological data administered the Chinese version of the Fatigue Severity Scale. PSF was defined as a Fatigue Severity Scale score of 4.0 or more. The locations of CMBs were evaluated with magnetic resonance imaging within 7 days of admission. Results: Of the 199 patients screened, 47 (23.6%) had PSF. The PSF group had a higher Geriatric Depression Scale score (p < 0.001) and a trend for a higher age (p = 0.074). The proportion of patients with deep CMBs was significantly higher in the PSF group (66.0 vs. 48.7%; p = 0.038). The presence of deep CMBs was a significant independent predictor of PSF with an odds ratio of 2.68 (p = 0.016). Conclusion: The results suggest that deep CMBs are associated with a higher risk of PSF. Further studies are needed to clarify whether CMBs affect the clinical presentation, treatment response and outcome of PSF. © 2014 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

The article focuses on independent stroke inpatient sample to find the reliability of a reported Mini‐Mental State Examination (MMSE)‐ Montreal Cognitive Assessment (MoCA) score conversion. Topics discussed include study conducted on people with mild cognitive impairment, Alzheimer's, and Parkinson's disease, use of integrated mood and neurocognitive screening scheme to study acute stroke inpatients, and conversion of MMSE scores to MoCA scores using equipercentile method.