The association of family, social and romantic loneliness in relation to suicidal ideation and self-injurious behaviours.

Over 703,000 people die by suicide every year. The association between loneliness and self-injurious thoughts and behaviours has received increasing amounts of attention, with a significant link consistently being identified. However the impact that different types of loneliness have on physical and mental health remains under-researched. The current study aimed to explore how different forms of loneliness might be associated with self-injury, based on findings from existing theory-driven research. This cross-sectional online study investigated three types of loneliness (family, romantic, social) as well as loneliness as a unidimensional construct (global loneliness) in relation to suicidal ideation and several established variables associated with suicidal ideation (defeat, entrapment and depression). 582 participants (age 18-70 years) completed the survey between May and October 2021. Results showed that all forms of loneliness were associated with suicidal ideation, and all loneliness measures significantly, independently, moderated the association between entrapment and suicidal ideation. Furthermore, depression significantly mediated between family, romantic and global loneliness and suicidal ideation, but not social loneliness. The findings suggest that the quality and/or quantity of family, romantic and global relationships, should be explored when considering loneliness as a possible risk factor for suicidal ideation and may have a significant impact on mental and physical health. In particular, romantic loneliness may have a particularly adverse association with negative affect and suicidal ideation. Future work would benefit from replicating these findings longitudinally.

A systematic review of mood and depression measures in people with severe cognitive and communication impairments following acquired brain injury.

AIM: A systematic review to identify which mood and depression measures are valid for use with people with severe cognitive and communication impairments following severe acquired brain injury. METHOD: A systematic search of Cochrane, Web of Science, Ovid, and EBSCOhost was performed in March 2020, July 2021, and September 2022. The search focused on self-report and observer-rated assessment tools used to assess mood, depression, and/or distress in those described as having a severe acquired brain injury. Psychometric properties were extracted using the Consensus-based standards for the selection of health measurement instruments (COSMIN) risk of bias checklist. Qualitative synthesis was performed on extracted patient data. RESULTS: Nineteen papers detailing the psychometric properties of 25 measures were included, involving 2,914 participants. Nine papers provided details confirming the severity of participants' cognitive and communication impairments. The remaining papers described including severely injured participants but provided limited details so that precise level of severity could not be confirmed. Only one paper showed evidence of adequate psychometric properties and included those with severe cognitive impairments in a study of two observer-rated measures, the Stroke Aphasia Depression Questionnaire (10 items) and the Aphasia Depression Rating Scale. CONCLUSIONS: Due to the exclusion of individuals with severe cognitive and communication consequences following brain injury, no studies using self-report measures showed adequate validity evidence to recommend their use in this population. A small study using two observer-rated scales included those with severe cognitive impairments and showed satisfactory evidence that these measures can be validly used with this population.

An Investigation of the Validity of the Edinburgh Social Cognition Test (ESCoT) in Acquired Brain Injury (ABI).

OBJECTIVES: Social cognition is frequently impaired following an acquired brain injury (ABI) but often overlooked in clinical assessments. There are few validated and appropriate measures of social cognitive abilities for ABI patients. The current study examined the validity of the Edinburgh Social Cognition Test (ESCoT, Baksh et al., ) in measuring social cognition following an ABI. METHODS: Forty-one patients with ABI were recruited from a rehabilitation service and completed measures of general ability, executive functions and social cognition (Faux Pas; FP, Reading the Mind in the Eyes; RME, Social Norms Questionnaire; SNQ and the ESCoT). Forty-one controls matched on age, sex and years of education also performed the RME, SNQ and ESCoT. RESULTS: A diagnosis of ABI was significantly associated with poorer performance on all ESCoT measures and RME while adjusting for age, sex and years of education. In ABI patients, the ESCoT showed good internal consistency with its subcomponents and performance correlated with the other measures of social cognition demonstrating convergent validity. Better Trail Making Test performance predicted better ESCoT total, RME and SNQ scores. Higher TOPF IQ was associated with higher RME scores, while higher WAIS-IV working memory predicted better FP performance. CONCLUSIONS: The ESCoT is a brief, valid and internally consistent assessment tool able to detect social cognition deficits in neurological patients. Given the prevalence of social cognition deficits in ABI and the marked impact these can have on an individual's recovery, this assessment can be a helpful addition to a comprehensive neuropsychological assessment.

A Qualitative Exploration of the Experiences and Perceptions of Interpersonal Relationships Prior to Attempting Suicide in Young Adults.

Suicide is a leading public health concern. Research studies have identified significant associations between loneliness and suicidal ideation/behaviour both cross-sectionally and prospectively. Despite this, research specifically focusing on identifying the nature of loneliness experienced prior to suicide, and the role it has in association with other preceding factors, has not been fully explored. The current study recruited ten participants with a history of suicide attempts (five female, four male and one non-binary; mean age: 22.5, range: 20-25 years) to take part in one-to-one, semi-structured interviews via remote video conferencing to explore experiences of social support and loneliness prior to suicide attempt. Using Interpretative Phenomenological Analysis, several aspects of loneliness emerged as important themes that were present prior to participants' suicide attempts. Additional themes identified were patterns of social support, personality traits, emotional secrecy and social transition. Evidence suggests that a positive relationship with parents, knowing someone with similar experiences or having membership in more than one friendship group may reduce feelings of loneliness and/or intentions to die. This research makes an important contribution to understanding the role of loneliness in relation to suicide attempts by highlighting the importance of social supports being emotionally available to those experiencing distress.

Clinical and neuroradiological correlates of sleep in myotonic dystrophy type 1.

Abnormalities of sleep are common in myotonic dystrophy type 1 (DM1), but few previous studies have combined polysomnography with detailed clinical measures and brain imaging. In the present study, domiciliary polysomnography, symptom questionnaires and cognitive evaluation were undertaken in 39 DM1-affected individuals. Structural brain MRI was completed in those without contra-indication (n = 32). Polysomnograms were adequate for analysis in 36 participants. Sleep efficiency was reduced, and sleep architecture altered in keeping with previous studies. Twenty participants (56%) had moderate or severe sleep-disordered breathing (apnoea-hypopnoea index [AHI] ≥ 15). In linear modelling, apnoeas were positively associated with increasing age and male sex. AHI ≥ 15 was further associated with greater daytime pCO2 and self-reported physical impairment, somnolence and fatigue. Percentage REM sleep was inversely associated with cerebral grey matter volume, stage 1 sleep was positively associated with occipital lobe volume and stage 2 sleep with amygdala volume. Hippocampus volume was positively correlated with self-reported fatigue and somnolence. Linear relationships were also observed between measures of sleep architecture and cognitive performance. Findings broadly support the hypothesis that changes in sleep architecture and excessive somnolence in DM1 reflect the primary disease process in the central nervous system.

Assessing Recovery from Delirium: An International Survey of Healthcare Professionals Involved in Delirium Care.

Background: A crucial part of delirium care is determining if the delirium episode has resolved. Yet, there is no clear evidence or consensus on which assessments clinicians should use to assess for delirium recovery. Objective: To evaluate current opinions from delirium specialists on assessment of delirium recovery. Design: Online questionnaire-based survey distributed internationally to healthcare professionals involved in delirium care. Methods: The survey covered methods for assessing recovery, the importance of different symptom domains for capturing recovery, and local guidance or pathways that recommend monitoring for delirium recovery. Results: Responses from 199 clinicians were collected. Respondents were from the UK (51%), US (13%), Australia (9%), Canada (7%), Ireland (7%) and 16 other countries. Most respondents were doctors (52%) and nurses (27%). Clinicians worked mostly in geriatrics (52%), ICUs (21%) and acute assessment units (17%). Ninety-four percent of respondents indicated that they conduct repeat delirium assessments (i.e., on ≥2 occasions) to monitor delirium recovery. The symptom domains considered most important for capturing recovery were: arousal (92%), inattention (84%), motor disturbance (84%), and hallucinations and delusions (83%). The most used tool for assessing recovery was the 4 'A's Test (4AT, 51%), followed by the Confusion Assessment Method (CAM, 26%), the CAM for the ICU (CAM-ICU, 17%) and the Single Question in Delirium (SQiD, 11%). Twenty-eight percent used clinical features only. Less than half (45%) of clinicians reported having local guidance that recommends monitoring for delirium recovery. Conclusions: The survey results suggest a lack of standardisation regarding tools and methods used for repeat delirium assessment, despite consensus surrounding the key domains for capturing delirium recovery. These findings emphasise the need for further research to establish best practice for assessing delirium recovery.

Working memory training: Taking a step back to retool and create a bridge between clinical and neuroimaging research methods.

Improvements in patient outcomes and mortality after brain injury alongside increasing ageing population have resulted in an increasing need to develop cognitive interventions for individuals experiencing changes in their cognitive function. One topic of increasing research interest is whether cognitive functions such as attention, memory and executive functioning can be improved through the use of working memory training interventions. Both clinical and neuroimaging researchers are working to evidence this, but their efforts rarely come together. We discuss here several issues that may be hindering progress in this area, including the tools researchers utilize to measure cognition, the choice between employing active or passive control groups, the focus on transfer effects at the expense of well-characterized training effects, and the overall lack of neuroimaging studies in individuals with neurological disorders. We argue that the only way to advance the field is to build bridges between the disciplines of clinical neuropsychology and cognitive neuroscience. We suggest a multi-level framework to validate the efficacy of working memory interventions and other forms of cognitive training that combine both clinical and neuroimaging approaches. We conclude that in order to move forward we need to form multidisciplinary teams, employ interdisciplinary methods, brain imaging quality rating tools and build national and international collaborations based on open science principles.

Exploring the role of loneliness in relation to self-injurious thoughts and behaviour in the context of the integrated motivational-volitional model.

Suicide is a worldwide public health concern claiming approximately 800,000 lives around the world every year. The impact of loneliness on mental and physical wellbeing has received increasing attention in recent years, however its role in the emergence of self-injurious thoughts and behaviours is unclear. The current study explored loneliness in relation to other psychological variables associated with self-injurious thoughts and behaviour. Data were collected from UK residents (n = 400, aged 18-76 years) via an online survey accessible between September 2018 and April 2019. Univariate multinomial logistic regression analyses identified that loneliness independently distinguished between participants with no history of self-injurious thoughts or behaviours, those with a history of self-injurious thoughts only, and those with a history of self-injurious behaviours. When other key variables were controlled for, loneliness distinguished between controls and those with a self-injurious thoughts or behaviours history. However, loneliness did not distinguish between people with self-injurious thoughts only and those with a history of self-injurious behaviours. To understand how loneliness might contribute towards the emergence of self-injury, analysis exploring the extent to which loneliness moderates established risk factors (e.g., defeat, entrapment) was conducted. The results suggest that loneliness moderates both the relationship between defeat and entrapment, and between entrapment and self-injurious thoughts. Future work exploring these associations prospectively would advance understanding of the role of loneliness in suicide risk and inform the development of clinical and community-based suicide prevention interventions.

Brain imaging of executive function with the computerised multiple elements test.

The Computerised Multiple Elements Test (CMET) is a novel executive task to assess goal management and maintenance suitable for use within the fMRI environment. Unlike classical executive paradigms, it resembles neuropsychological multi-elements tests that capture goal management in a more ecological way, by requiring the participant to switch between four simple games within a specified time period. The present study aims to evaluate an fMRI version of the CMET and examine its brain correlates. Thirty-one healthy participants performed the task during fMRI scanning. During each block, they were required to play four simple games, with the transition between games being made either voluntarily (executive condition) or automatically (control condition). The executive condition was associated with increased activity in fronto-parietal and cingulo-opercular regions, with anterior insula activity linked to better task performance. In an additional analysis, the activated regions showed to form functional networks during resting-state and to overlap the executive fronto-parietal and cingulo-opercular networks identified in resting-state with independently defined seeds. These results show the ability of the CMET to elicit activity in well-known executive networks, becoming a potential tool for the study of executive impairment in neurological and neuropsychiatric populations in a more ecological way than classical paradigms.

MindMate: A single case experimental design study of a reminder system for people with dementia.

Prospective memory difficulties are commonly reported in people with dementia. The evidence supporting the use of prospective memory devices among the dementia population remains limited. MindMate is a recently developed smart device application that aims to support individuals with a diagnosis of dementia, improving self-management skills and quality of life. This study investigated the effectiveness and usability of the reminder tool on the MindMate application as a memory aid. Three participants with a diagnosis of Alzheimer's disease were recruited to this multiple baseline single-case experimental design study. Partners of the participants recorded their performance on everyday tasks on weekly monitoring forms during a baseline phase (between five and seven weeks) and during the intervention phase (five weeks) whilst using MindMate. Two participants successfully used the app throughout the intervention weeks and gave positive usability ratings. Tau-U analysis showed a significant increase in memory performance between baseline and intervention phase (Tau-U = 1, 0.94, p < .01). A third participant withdrew from the intervention phase following difficulties turning off the reminders and frustrations with the reminder alert sound. For two of the three participants, use of MindMate was feasible and effective in supporting remembering of everyday tasks compared to practice as usual.

Working memory updating training promotes plasticity & behavioural gains: A systematic review & meta-analysis.

AIMS: Recent reviews yield contradictory findings regarding the efficacy of working memory training and transfer to untrained tasks. We reviewed working memory updating (WMU) training studies and examined cognitive and neural outcomes on training and transfer tasks. METHODS: Database searches for adult brain imaging studies of WMU training were conducted. Training-induced neural changes were assessed qualitatively, and meta-analyses were performed on behavioural training and transfer effects. RESULTS: A large behavioural training effect was found for WMU training groups compared to control groups. There was a moderate near transfer effect on tasks in the same cognitive domain, and a non-significant effect for far transfer to other cognitive domains. Functional neuroimaging changes for WMU training tasks revealed consistent frontoparietal activity decreases while both decreases and increases were found for subcortical regions. CONCLUSIONS: WMU training promotes plasticity and has potential applications in optimizing interventions for neurological populations. Future research should focus on the mechanisms and factors underlying plasticity and generalisation of training gains.

Loneliness as a predictor of suicidal ideation and behaviour: a systematic review and meta-analysis of prospective studies.

BACKGROUND: Suicide and suicidal behaviour are global health concerns with complex aetiologies. Given the recent research and policy focus on loneliness, this systematic review aimed to determine the extent to which loneliness predicts suicidal ideation and/or behaviour (SIB) over time. METHODS: A keyword search of five major databases (CINHAL, Medline, PsychArticles, PsychInfo and Web of Knowledge) was conducted. Papers for inclusion were limited to those using a prospective longitudinal design, written in English and which measured loneliness at baseline and SIB at a later time-point. RESULTS: After duplicates were removed, 947 original potential papers were identified, with 22 studies meeting the review criteria. Meta-analysis revealed loneliness was a significant predictor of both suicidal ideation and behaviour and there was evidence that depression acted as a mediator. Furthermore, studies which consisted of predominantly female participants were more likely to report a significant relationship, as were studies where participants were aged 16-20 or >55 years at baseline. LIMITATIONS: There was considerable variability in measures, samples and methodologies used across the studies. Middle-aged adults were under-represented, as were individuals from minority ethnic backgrounds. All studies were conducted in countries where self-reliance and independence (i.e. individualism) are the cultural norm. CONCLUSIONS: Loneliness predicts later SIB in select populations. However, due to the heterogeneity of the studies further research is needed to draw more robust conclusions. Suicide death also needs to be included as an outcome measure. A focus on more collectivist countries is also required.

Measuring the effects of listening for leisure on outcome after stroke (MELLO): A pilot randomized controlled trial of mindful music listening.

BACKGROUND: Cognitive deficits and low mood are common post-stroke. Music listening is suggested to have beneficial effects on cognition, while mindfulness may improve mood. Combining these approaches may enhance cognitive recovery and improve mood early post-stroke. AIMS: To assess the feasibility and acceptability of a novel mindful music listening intervention. METHODS: A parallel group randomized controlled feasibility trial with ischemic stroke patients, comparing three groups; mindful music listening, music listening and audiobook listening (control group), eight weeks intervention. Feasibility was measured using adherence to protocol and questionnaires. Cognition (including measures of verbal memory and attention) and mood (Hospital Anxiety and Depression Scale) were assessed at baseline, end of intervention and at six-months post-stroke. RESULTS: Seventy-two participants were randomized to mindful music listening (n = 23), music listening (n = 24), or audiobook listening (n = 25). Feasibility and acceptability measures were encouraging: 94% fully consistent with protocol; 68.1% completing ≥6/8 treatment visits; 80-107% listening adherence; 83% retention to six-month endpoint. Treatment effect sizes for cognition at six month follow-up ranged from d = 0.00 ([-0.64,0.64], music alone), d = 0.31, ([0.36,0.97], mindful music) for list learning; to d = 0.58 ([0.06,1.11], music alone), d = 0.51 ([-0.07,1.09], mindful music) for immediate story recall; and d = 0.67 ([0.12,1.22], music alone), d = 0.77 ([0.16,1.38]mindful music) for attentional switching compared to audiobooks. No signal of change was seen for mood. A definitive study would require 306 participants to detect a clinically substantial difference in improvement (z-score difference = 0.66, p = 0.017, 80% power) in verbal memory (delayed story recall). CONCLUSIONS: Mindful music listening is feasible and acceptable post-stroke. Music listening interventions appear to be a promising approach to improving recovery from stroke.

Incidence and prevalence of post-stroke insomnia: A systematic review and meta-analysis.

Problems with sleep are reported to be common after stroke but the incidence and prevalence of insomnia and insomnia symptoms following stroke is not yet established. The aim of this review was to conduct a systematic review and meta-analysis of the incidence and prevalence of insomnia and insomnia symptoms in individuals affected by stroke. We searched seven main electronic databases to identify studies until September 25, 2018. No studies examining incidence of post-stroke insomnia were identified. Twenty-two studies on prevalence of insomnia or insomnia symptoms including individuals with stroke were included with fourteen studies suitable for inclusion in the meta-analysis. Meta-analysis indicated pooled prevalence of 38.2% (CI 30.1-46.5) with significantly higher prevalence estimates for studies using non-diagnostic tools, 40.70% (CI 30.96-50.82) compared to studies using diagnostic assessment tools 32.21% (CI 18.5-47.64). Greater insomnia symptoms were indicated in those with comorbid depression and anxiety. The prevalence of both insomnia and insomnia symptoms are considerably higher in stroke survivors compared to the general population. Studies investigating the incidence, insomnia symptom profile and changes in insomnia prevalence over time are needed to inform clinical practice and to encourage tailored interventions that consider this symptomatology. PROSPERO registration number CRD42017065670.

Applicability of the ACE-III and RBANS Cognitive Tests for the Detection of Alcohol-Related Brain Damage.

BACKGROUND AND AIMS: Recent investigations have highlighted the value of neuropsychological testing for the assessment and screening of Alcohol-Related Brain Damage (ARBD). The aim of the present study was to evaluate the suitability of the Addenbrooke's Cognitive Examination (ACE-III) and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) for this purpose. METHODS: Comparing 28 participants with ARBD (11 with Korsakoff's Syndrome and 17 with the umbrella "ARBD" diagnosis) and 30 alcohol-dependent participants without ARBD (ALs) we calculated Area Under the Curve (AUC) statistics, sensitivity and specificity values, base-rate adjusted predictive values, and likelihood ratios for both tests. RESULTS: High levels of screening accuracy were found for the total scores of both the ACE-III (AUC = 0.823, 95% CIs [0.714, 0.932], SE = 0.056; optimal cut-off ≤86: sensitivity = 82%, specificity = 73%) and RBANS (AUC = 0.846, 95% CIs [0.746, 0.947], SE = 0.052; optimal cut-off ≤83: sensitivity = 89%, specificity = 67%) at multiple cut-off points. Removing participants with a history of polysubstance from the samples (10 ALs and 1 ARBD) improved the diagnostic capabilities of the RBANS substantially (AUC = 0.915, 95% CIs [0.831, 0.999], SE = 0.043; optimal cut-off ≤85: sensitivity = 98%, specificity = 80%), while only minor improvements to the ACE-III's accuracy were observed (AUC = 0.854, 95% CIs [0.744, 0.963], SE = 0.056; optimal cut-off ≤88: sensitivity = 85%, specificity = 75%). CONCLUSION: Overall, both the ACE-III and RBANS are suitable tools for ARBD screening within an alcohol-dependent population, though the RBANS is the superior of the two. Clinicians using these tools for ARBD screening should be cautious of false-positive outcomes and should therefore combine them with other assessment methods (e.g., neuroimaging, clinical observations) and more detailed neuropsychological testing before reaching diagnostic decisions.

Understanding cognitive impairment in mood disorders: mediation analyses in the UK Biobank cohort.

BACKGROUND: Cognitive impairment is strongly linked with persistent disability in people with mood disorders, but the factors that explain cognitive impairment in this population are unclear. AIMS: To estimate the total effect of (a) bipolar disorder and (b) major depression on cognitive function, and the magnitude of the effect that is explained by potentially modifiable intermediate factors. METHOD: Cross-sectional study using baseline data from the UK Biobank cohort. Participants were categorised as having bipolar disorder (n = 2709), major depression (n = 50 975) or no mood disorder (n = 102 931 and n = 105 284). The outcomes were computerised tests of reasoning, reaction time and memory. The potential mediators were cardiometabolic disease and psychotropic medication. Analyses were informed by graphical methods and controlled for confounding using regression, propensity score-based methods and G-computation. RESULTS: Group differences of small magnitude were found on a visuospatial memory test. Z-score differences for the bipolar disorder group were in the range -0.23 to -0.17 (95% CI -0.39 to -0.03) across different estimation methods, and for the major depression group they were approximately -0.07 (95% CI -0.10 to -0.03). One-quarter of the effect was mediated via psychotropic medication in the bipolar disorder group (-0.05; 95% CI -0.09 to -0.01). No evidence was found for mediation via cardiometabolic disease. CONCLUSIONS: In a large community-based sample in middle to early old age, bipolar disorder and depression were associated with lower visuospatial memory performance, in part potentially due to psychotropic medication use. Mood disorders and their treatments will have increasing importance for population cognitive health as the proportion of older adults continues to grow. DECLARATION OF INTEREST: I.J.D. is a UK Biobank participant. J.P.P. is a member of the UK Biobank Steering Committee.

Effort Testing in Dementia Assessment: A Systematic Review.

OBJECTIVE: Interpretation of neuropsychological test data is only valid when appropriate effort has been exerted. Research, however, suggests that neuropsychologists do not always formally test for effort and that this may especially be the case in the context of dementia assessment. This review systematically examined the literature that has investigated the use of both purpose-built and embedded effort-sensitive indices in dementia, mild cognitive impairment (MCI), and healthy control samples. The aim was to determine which tests of effort are most sensitive to suboptimal effort and least sensitive to the type of cognitive impairment seen in dementia. METHODS: A systematic search of databases was conducted to October 2017. There was no start date. RESULTS: Twenty-five studies were included for review. The studies were divided into two categories according to methodology. One category of studies (n = 5) was reviewed using a tailored methodological quality rating checklist whilst the remaining studies (n = 20) were reviewed using the Crowe Critical Appraisal Tool (CCAT). CONCLUSIONS: The results of this review suggest that PVTs which take a hierarchical approach to effort testing such as the WMT, MSVT, and NV-MSVT are preferable for use with older adults who are under investigation for possible dementia. These tests go above and beyond the traditional pass/fail approach of more traditional tests of effort because they allow the examiner to analyze the examinee's profile of scores. The methodological limitations and challenges involved in this field of research are discussed.

Prevalence of pre-stroke depression and its association with post-stroke depression: a systematic review and meta-analysis.

BACKGROUND: Depression is a common post-stroke complication. Pre-stroke depression may be an important contributor, however the epidemiology of pre-stroke depression is poorly understood. Using systematic review and meta-analysis, we described the prevalence of pre-stroke depression and its association with post-stroke depression. METHODS: We searched multiple cross-disciplinary databases from inception to July 2017 and extracted data on the prevalence of pre-stroke depression and its association with post-stroke depression. We assessed the risk of bias (RoB) using validated tools. We described summary estimates of prevalence and summary odds ratio (OR) for association with post-stroke depression, using random-effects models. We performed subgroup analysis describing the effect of depression assessment method. We used a funnel plot to describe potential publication bias. The strength of evidence presented in this review was summarised via 'GRADE'. RESULTS: Of 11 884 studies identified, 29 were included (total participants n = 164 993). Pre-stroke depression pooled prevalence was 11.6% [95% confidence interval (CI) 9.2-14.7]; range: 0.4-24% (I2 95.8). Prevalence of pre-stroke depression varied by assessment method (p = 0.02) with clinical interview suggesting greater pre-stroke depression prevalence (~17%) than case-note review (9%) or self-report (11%). Pre-stroke depression was associated with increased odds of post-stroke depression; summary OR 3.0 (95% CI 2.3-4.0). All studies were judged to be at RoB: 59% of included studies had an uncertain RoB in stroke assessment; 83% had high or uncertain RoB for pre-stroke depression assessment. Funnel plot indicated no risk of publication bias. The strength of evidence based on GRADE was 'very low'. CONCLUSIONS: One in six stroke patients have had pre-stroke depression. Reported rates may be routinely underestimated due to limitations around assessment. Pre-stroke depression significantly increases odds of post-stroke depression.Protocol identifierPROSPERO identifier: CRD42017065544.

Outcome Measures for Central Nervous System Evaluation in Myotonic Dystrophy Type 1 May Be Confounded by Deficits in Motor Function or Insight.

Background: Central nervous system involvement in myotonic dystrophy type 1 (DM1) is associated with cognitive deficits, impaired social performance and excessive somnolence, which greatly impact quality of life. With the advent of clinical trials in DM1, there is a pressing need to identify outcome measures for quantification of central symptoms that are feasible and valid. In this context, we sought to evaluate neuropsychological and self-reported measures currently recommended by expert consensus, with particular reference to their specificity for central nervous system involvement in a moderate-sized DM1 cohort. Methods: Forty-five adults with DM1 and 20 controls completed neuropsychology assessments and symptom questionnaires. Those without contraindication also underwent MRI brain, from which global gray matter volume and white matter lesion volume were quantified. CTG repeat was measured by small pool PCR, and was screened for the presence of variant repeat sequences. Results: The neuropsychology test battery was well tolerated and detected impairment across various domains in the DM1 group vs. controls. Large effect sizes in the Stroop and Trail Making Tests were however attenuated by correction for basic speed, which could be influenced by dysarthria and upper limb weakness, respectively. Low mood was strongly associated with increased self-reporting of central symptoms, including cognitive impairment. Conversely, self-reported cognitive impairment did not generally predict poorer performance in neuropsychology assessments, and there was a trend toward greater self-reporting of low mood and cognitive problems in those with milder white matter change on MRI. Global gray matter volume correlated with performance in several neuropsychology assessments in a multivariate model with age and sex, while white matter lesion volume was associated with executive dysfunction reported by a proxy. Screening for variant repeats was positive in three individuals, who reported mild muscle symptoms. Conclusions: Identification of outcome measures with good specificity for brain involvement in DM1 is challenging, since complex cognitive assessments may be compromised by peripheral muscle weakness and self-reported questionnaires may be influenced by mood and insight. This highlights the need for further large, longitudinal studies to identify and validate objective measures, which may include imaging biomarkers and cognitive measures not influenced by motor speed.

Cross-sectional and longitudinal analyses of outdoor air pollution exposure and cognitive function in UK Biobank.

Observational studies have shown consistently increased likelihood of dementia or mild cognitive impairment diagnoses in people with higher air pollution exposure history, but evidence has been less consistent for associations with cognitive test performance. We estimated the association between baseline neighbourhood-level exposure to airborne pollutants (particulate matter and nitrogen oxides) and (1) cognitive test performance at baseline and (2) cognitive score change between baseline and 2.8-year follow-up, in 86,759 middle- to older-aged adults from the UK Biobank general population cohort. Unadjusted regression analyses indicated small but consistent negative associations between air pollutant exposure and baseline cognitive performance. Following adjustment for a range of key confounders, associations were inconsistent in direction and of very small magnitude. The largest of these indicated that 1 interquartile range higher air pollutant exposure was associated on average with 0.35% slower reaction time (95% CI: 0.13, 0.57), a 2.92% higher error rate on a visuospatial memory test (95% CI: 1.24, 4.62), and numeric memory scores that were 0.58 points lower (95% CI: -0.96, -0.19). Follow-up analyses of cognitive change scores did not show evidence of associations. The findings indicate that in this sample, which is five-fold larger than any previous cross-sectional study, the association between air pollution exposure and cognitive performance was weak. Ongoing follow-up of the UK Biobank cohort will allow investigation of longer-term associations into old age, including longitudinal tracking of cognitive performance and incident dementia outcomes.