Event-related potentials of familiar monosyllabic words with unexpected lexical tones: A picture-word study of Mandarin-speaking preschoolers with and without a history of late talking.

This study examined how Mandarin-speaking preschoolers with and without a history of late talking (LT) process familiar monosyllabic words with unexpected lexical tones, focusing on both phonological and semantic violations. This study initially enrolled 64 Mandarin-speaking toddlers: 31 with a history of LT (mean age: 27.67 months) and 33 without a history of LT (non-LT) (mean age: 27.85 months). Event-related potentials were recorded at the age of 4 years during a picture-word mismatch task (LT mean age: 51.36 months; non-LT mean age: 51.20 months); in this task, the participants were presented with auditory words either matching (Tone 3) or mismatching with images in terms of their lexical tones; the mismatches encompassed acoustically dissimilar (Tone 1) and similar (Tone 2) mismatches. A significant difference in the phonological mapping negativity (PMN) responses to Tones 1 and 3 was observed only in the non-LT group. However, differences in the N400 responses to Tones 1 and 3 remained consistent across both groups. In addition, greater differences in the PMN responses between Tones 1 and 3 were associated with higher language proficiency during the preschool period. The PMN response serves as an indicator of neural correlates in lexical tone processing, reflecting challenges encountered by preschoolers with a history of LT when processing the lexical tones of familiar words. Furthermore, the PMN response was correlated with concurrent language abilities. These findings indicate the importance of early tonal perception development for Mandarin speakers with a history of LT. RESEARCH HIGHLIGHTS: Preschoolers with a history of late talking (LT), similar to preschoolers without such a history, can establish word expectations and detect the lexical tone violation in real time. However, those with a history of LT require additional time to process acoustic cues and differentiate between word semantics based on lexical tone information. The phonological mapping negativity response serves as an indicator of neural correlates in lexical tone processing, reflecting challenges encountered by preschoolers with a history of LT when processing the lexical tones of familiar words. The present findings indicate the importance of early intervention for Mandarin speakers with a history of LT, with an emphasis on lexical tone processing from toddlerhood.

Different meanings of a three-point decline in MMSE score in Alzheimer's disease and depressive disorder.

BACKGROUND: The Mini-Mental State Examination (MMSE) is a composite scale that is included in diagnostic algorithms and in procedures to assess severity of cognitive impairment and efficacy of therapeutic interventions. It is unclear, however, whether the MMSE provides information about the same deficits in different diseases. AIMS: To assess patterns of MMSE scores in patients with confirmed diagnosis of Alzheimer's disease or depressive disorder. METHOD: We used data from a previously published cross-sectional retrospective observational clinical cohort study. The final analysis included only patients in whom biomarker analysis showed results characteristic of Alzheimer's disease (n = 167) and patients with depressive disorder in whom Alzheimer's disease had been ruled out by analysis of biomarkers (n = 69). RESULTS: A three-point decline in MMSE score from 30 to 27 reflected impairment of memory recall in patients with Alzheimer's disease, whereas it reflected impairments in calculation and memory recall in patients with depressive disorder. A further three-point decline in MMSE score from 27 to 24 predominantly reflected additional calculation impairment in patients with Alzheimer's disease. CONCLUSIONS: Our results indicate that memory performance is the most important measure of disease severity and the main contributor to the decline in MMSE score at onset of clinical manifestation of Alzheimer's disease. In general, this suggests that memory should be the primary measure used in routine clinical care and the primary endpoint in clinical trials involving patients with Alzheimer's disease at onset of clinical manifestation. Changes in other measures of cognition should prompt consideration of possible comorbidities as a cause, rather than the impact of Alzheimer's disease itself.

Cost-effectiveness of neuropsychological rehabilitation for acquired brain injuries: Update of Stolwyk et al.'s (2019) review.

Acquired brain injuries (ABI), resulting from stroke or traumatic brain injury, cause a range of neuropsychological impairments and many patients continue to experience neuropsychological deficits years after onset. The increasing average age of the population highlights the importance of effective management strategies for the consequences of ABI. Despite the well-documented impact of rehabilitation interventions, the cost-effectiveness of neuropsychological rehabilitation remains largely unknown. This study conducted a scoping review to update the findings of Stolwyk et al. (Neuropsychological Rehabilitation, 2021, 31, 316), focusing on the economic evaluations of neuropsychological rehabilitation for individuals with ABI. Following the PIO framework, PRISMA ScR guidelines, and systematic review reporting checklist, the review screened 1027 articles and included eight studies published between 2019 and 2024. The studies encompassed either language rehabilitation or general neuropsychological programs, including neuropsychological interventions. The economic analyses, including two cost-effectiveness, five cost-utility, and one cost-benefit study, mostly adhered to CHEERS guidelines, enhancing the transparency and methodological rigour of their reporting. These studies demonstrated varying degrees of cost-effectiveness for interventions targeting post-stroke language disorders and neuropsychological rehabilitation for ABI, with significant cost savings and health benefits observed, particularly for home-based rehabilitation interventions. The included studies suffered from a short time horizon, limiting the ability to capture the long-term economic impacts and effectiveness of the interventions. Future research should focus on longer-term follow-up data and include broader search strategies to enhance understanding and optimise health care interventions. A comprehensive implementation of these economic analyses is crucial for informing policymakers, enabling them to introduce rehabilitative interventions based on solid evidence.

Profiling people with Parkinson's disease at risk of cognitive decline: Insights from PPMI and ICICLE-PD data.

Introduction: A subset of people with Parkinson's disease (PD) develop dementia faster than others. We aimed to profile PD cognitive subtypes at risk of dementia based on their rate of cognitive decline. Method: Latent class mixed models stratified subtypes in Parkinson's Progression Markers Initiative (PPMI) (N = 770) and ICICLE-PD (N = 212) datasets based on their decline in the Montreal Cognitive Assessment over at least 4 years. Baseline demographic and cognitive data at diagnosis were compared between subtypes to determine their clinical profile. Results: Four subtypes were identified: two with stable cognition, one with steady decline, and one with rapid decline. Performance on Judgement of Line Orientation, but not category fluency, was associated with a steady decline in the PPMI dataset, and deficits in category fluency, but not visuospatial function, were associated with a steady decline in the ICICLE-PD dataset. Discussion: People with PD susceptible to cognitive decline demonstrate unique clinical profiles at diagnosis, although this differed between cohorts. Highlights: Four cognitive subtypes were revealed in two Parkinson's disease samples.Unique profiles of cognitive impairment were related to cognitive decline.Judgement of Line Orientation/category fluency predictive of steady decline.Global deficits related to rapid cognitive decline and increased dementia risk.

The network is more important than the node: stereo-EEG evidence of neurocognitive networks in epilepsy.

Introduction: Neuropsychological assessment forms an integral part of the presurgical evaluation for patients with medically refractory focal epilepsy. Our understanding of cognitive impairment in epilepsy is based on seminal lesional studies that have demonstrated important structure-function relationships within the brain. However, a growing body of literature demonstrating heterogeneity in the cognitive profiles of patients with focal epilepsy (e.g., temporal lobe epilepsy; TLE) has led researchers to speculate that cognition may be impacted by regions outside the seizure onset zone, such as those involved in the interictal or "irritative" network. Methods: Neuropsychological data from 48 patients who underwent stereoelectroencephalography (SEEG) monitoring between 2012 and 2023 were reviewed. Patients were categorized based on the site of seizure onset, as well as their irritative network, to determine the impact of wider network activity on cognition. Neuropsychological data were compared with normative standards (i.e., z = 0), and between groups. Results: There were very few distinguishing cognitive features between patients when categorized based purely on the seizure onset zone (i.e., frontal lobe vs. temporal lobe epilepsy). In contrast, patients with localized irritative networks (i.e., frontal or temporal interictal epileptiform discharges [IEDs]) demonstrated more circumscribed profiles of impairment compared with those demonstrating wider irritative networks (i.e., frontotemporal IEDs). Furthermore, the directionality of propagation within the irritative network was found to influence the manifestations of cognitive impairment. Discussion: The findings suggest that neuropsychological assessment is sensitive to network activity beyond the site of seizure onset. As such, an overly focal interpretation may not accurately reflect the distribution of the underlying pathology. This has important implications for presurgical work-up in epilepsy, as well as subsequent surgical outcomes.

Using Deep Learning Techniques as an Attempt to Create the Most Cost-Effective Screening Tool for Cognitive Decline.

OBJECTIVE: This study aimed to use deep learning (DL) to develop a cost-effective and accessible screening tool to improve the detection of cognitive decline, a precursor of Alzheimer's disease (AD). This study integrating a comprehensive battery of neuropsychological tests adjusted for individual demographic variables such as age, sex, and education level. METHODS: A total of 2,863 subjects with subjective cognitive complaints who underwent a comprehensive neuropsychological assessment were included. A random forest classifier was used to discern the most predictive test combinations to distinguish between dementia and nondementia cases. The model was trained and validated on this dataset, focusing on feature importance to determine the cognitive tests that were most indicative of decline. RESULTS: Subjects had a mean age of 72.68 years and an average education level of 7.62 years. The DL model achieved an accuracy of 82.42% and an area under the curve of 0.816, effectively classifying dementia. Feature importance analysis identified significant tests across cognitive domains: attention was gauged by the Trail Making Test Part B, language by the Boston Naming Test, memory by the Rey Complex Figure Test delayed recall, visuospatial skills by the Rey Complex Figure Test copy score, and frontal function by the Stroop Test Word reading time. CONCLUSION: This study showed the potential of DL to improve AD diagnostics, suggesting that a wide range of cognitive assessments could yield a more accurate diagnosis than traditional methods. This research establishes a foundation for future broader studies, which could substantiate the approach and further refine the screening tool.

Neuropsychological and behavioural outcomes in epilepsy involving the insula: A scoping review.

Objective: In patients with epilepsy, the insula has been increasingly recognized as a common site of seizures. There is growing interest in understanding the cognitive and psychological consequences of insular epilepsy to help provide clinical recommendations to support patient's cognitive and psychosocial functioning, and to help identify candidates for epilepsy resective surgery. The aim of this scoping review was to describe the cognitive and behavioural characteristics associated with insular epilepsy in children and adults. Method: A systematic search was completed according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis -Extension for Scoping Reviews guidelines. Eligible studies reported on a neuropsychological or behavioural outcome, using standardized or research-based psychological measures, in individuals with insular epilepsy, (i.e. the seizure focus and/or surgical resection included the insula), and a comparison group. After duplicates were removed, 2,423 citations were identified from the search, and 39 studies were included in the scoping review. Results: Across the included studies, intellectual/global cognitive functioning and language were most often evaluated. Lower functioning was found across multiple cognitive and behavioural processes in pediatric and adult patients with insular epilepsy. Following resective surgery involving the insula, behavioural and cognitive outcomes are general stable. Conclusions: The results of this scoping review further neuropsychologists' knowledge of the cognitive and behavioural outcomes of insular seizures prior to and following surgical treatment. These results can aid in counselling patients of the potential cognitive dysfunctions, and aid with treatment planning.

Systematic Review of the Psychopathological Symptomatology and Neuropsychological Disorders of Chronic Primary Musculoskeletal Pain.

Chronic pain can develop without tissue damage, injury, or underlying illness. There are several intervening biological, psychological, and social factors involved in its appearance that significantly affect the activities of daily life. It is also associated with significant emotional anxiety and/or functional disability. This review systematically analyses works published in the last five years that evaluate the psychopathological symptomatology and neuropsychological disorders of chronic primary musculoskeletal pain (CPMP). A bibliographic search was carried out to identify articles published in English between January 2018 and March 2023 using the Medline, Scopus, PsycInfo, and Pubmed databases. Twenty articles were obtained using the PRISMA selection method. The main results of this study provided evidence of the presence of moderate and severe chronic pain in patients suffering from musculoskeletal pain. This increase in the intensity of pain correlates with greater psychopathological symptomatology, such as depression, anxiety, insomnia, lack of attention, and hyperactivity/impulsiveness, as well as the use of maladaptive coping strategies. Furthermore, there exists dysfunction in the cerebral structures related to attention and the processing of pain in patients with CPMP. This review may help to develop and optimise the multidisciplinary treatments adapted to the deficits caused by this illness.

Cognitive correlates of psychopathology in functional/dissociative seizures and non-lesional epilepsy: An exploratory study.

OBJECTIVE: To explore the relationship between cognitive functioning and psychopathological features in Functional/Dissociative Seizures (FDS), and test whether this differs from that observed in epilepsy. METHODS: We recruited a cross-sectional sample of adults (age > 18) with a diagnosis of non-lesional epilepsy or FDS between January 2021 and July 2022 (n = 73). Participants completed a series of psychiatric questionnaires and neuropsychological measures. Spearman's Correlation Coefficient was computed between each of the psychiatric and cognitive measures in each group. Fisher's Z test of significance for independent correlation coefficients then tested the significance of the difference between correlation coefficients for the two groups. RESULTS: There were no group differences in neuropsychological test scores. However, people with FDS reported higher seizure severity, depression levels, number of medically unexplained somatic symptoms, and exposure to traumatic events compared to epilepsy. Results of the Fisher's Z-test revealed significant differences in correlation coefficients between groups in two instances. First, in the association between the number of traumatic experiences and cognitive switching (z = 2.77, p = 0.006); the number of traumatic experiences were positively associated with cognitive switching in epilepsy but showed a non-significant negative trend in FDS. Secondly, in the association between vocabulary abilities and the number of medically unexplained symptoms (z = -2.71; p = 0.007); higher vocabulary ability was associated with fewer somatic symptoms in epilepsy, while no such correlation was observed in FDS. SIGNIFICANCE: This study provides preliminary evidence for the complex interplay between cognitive functioning and psychopathology in FDS and epilepsy. Neurocognitive functioning such as vocabulary abilities or attentional switching may play a role in the expression or maintenance of pathological features of FDS.

"Brain Fog" After COVID-19 Infection: How the Field of Neuropsychology Can Help Clear the Air.

The chapter explores the role of neuropsychology in understanding brain fog as a subjective complaint in the context of COVID-19. It discusses the historical and medical significance of the term "brain fog" and its psychological and neurological aspects. The chapter identifies the cognitive domains commonly affected by brain fog, such as attention, executive function, memory, and language. Additionally, it emphasizes the impact of societal changes during the COVID-19 pandemic on the general population as a crucial backdrop for understanding the issue. The chapter also highlights the important role of clinical and research neuropsychologists in gaining clarity on grouped data and individual patients' cognitive and emotional difficulties after COVID-19 infection. It discusses indications for neuropsychological rehabilitation and therapy and describes typical therapy phases and methods, including new approaches like telemedicine, virtual reality, and mobile app-based rehabilitation and self-tracking. The chapter underscores that experiences of brain fog can vary among COVID-19 patients and may change over time. It provides clinicians and interested parties with an in-depth understanding of brain fog and its manifestations, concomitant subtypes, and concrete strategies for addressing it. The chapter emphasizes the critical role of neuropsychology in scientifically examining brain fog and advocating for personalized approaches to cognitive rehabilitation.

Multivariate brain-cognition associations in euthymic bipolar disorder.

BACKGROUND: People with bipolar disorder (BD) tend to show widespread cognitive impairment compared to healthy controls. Impairments in processing speed (PS), attention and executive function (EF) may represent 'core' impairments that have a role in wider cognitive dysfunction. Cognitive impairments appear to relate to structural brain abnormalities in BD, but whether core deficits are related to particular brain regions is unclear and much of the research on brain-cognition associations is limited by univariate analysis and small samples. METHODS: Euthymic BD patients (n = 56) and matched healthy controls (n = 26) underwent T1-weighted MRI scans and completed neuropsychological tests of PS, attention and EF. We utilised public datasets to develop normative models of cortical thickness (n = 5977) to generate robust estimations of cortical abnormalities in patients. Canonical correlation analysis was used to assess multivariate brain-cognition associations in BD, controlling for age, sex and premorbid IQ. RESULTS: BD showed impairments on tests of PS, attention and EF, and abnormal cortical thickness in several brain regions compared to healthy controls. Impairments in tests of PS and EF were most strongly associated with cortical thickness in the left inferior temporal, right entorhinal and right temporal pole areas. CONCLUSION: Impairments in PS, attention and EF can be observed in euthymic BD and may be related to abnormal cortical thickness in temporal regions. Future research should continue to leverage normative modelling and multivariate methods to examine complex brain-cognition associations in BD. Future research may benefit from exploring covariance between traditional brain structural morphological metrics such as cortical thickness, cortical volume and surface area.

Rasmussen's encephalitis: structural, functional, and clinical correlates of contralesional epileptiform activity.

Progressive inflammation of one hemisphere characterises Rasmussen's encephalitis (RE), but contralesional epileptiform activity has been repeatedly reported. We aimed to quantify contralesional epileptiform activity in RE and uncover its functional and structural underpinnings. We retrospectively ascertained people with RE treated between 2000 and 2018 at a tertiary centre (Centre 1) and reviewed all available EEG datasets. The temporal occurrence of preoperative contralesional epileptiform activity (interictal/ictal) was evaluated using mixed-effects logistic regression. Cases with/without contralesional epileptiform activity were compared for cognition, inflammation (ipsilesional brain biopsies), and MRI (cortical and fixel-based morphometry). EEG findings were validated in a second cohort treated at another tertiary centre (Centre 2) between 1995 and 2020. We included 127 people with RE and 687 EEG samples. Preoperatively, contralesional epileptiform activity was seen in 30/68 (44%, Centre 1) and 8/59 (14%, Centre 2). In both cohorts, this activity was associated with younger onset age (OR = 0.9; 95% CI 0.83-0.97; P = 0.006). At centre 1, contralesional epileptiform activity was associated with contralesional MRI alterations, lower intelligence (OR = 5.19; 95% CI 1.28-21.08; P = 0.021), and impaired verbal memory (OR = 10.29; 95% CI 1.97-53.85; P = 0.006). After hemispherotomy, 11/17 (65%, Centre 1) and 28/37 (76%, Centre 2) were seizure-free. Contralesional epileptiform activity was persistent postoperatively in 6/12 (50%, Centre 1) and 2/34 (6%, Centre 2). Preoperative contralesional epileptiform activity reduced the chance of postoperative seizure freedom in both cohorts (OR = 0.69; 95% CI 0.50-0.95; P = 0.029). Our findings question the concept of strict unilaterality of RE and provide the evidence of contralesional epileptiform activity as a possible EEG predictor for persisting postoperative seizures.

A user's guide for the International Classification of Cognitive Disorders in Epilepsy.

To present the background, rationale, details pertaining to use and essential computational steps, synopsis of findings to date, and future directions for the International Classification of Cognitive Disorders in Epilepsy (IC-CoDE)-an initiative of the ILAE Neuropsychology Task Force. Examined are: (a) the 6 steps leading to the derivation of a cognitive phenotype from neuropsychological test data with an accompanying case example, (b) concise review of all IC-CoDE research to date, (c) summary of identified correlates of IC-CoDE outcomes, and (d) future research and clinical directions for the initiative. The IC-CoDE is computationally uncomplicated with individual or group data and represents a novel approach leading to new insights in the neuropsychology of epilepsy, with applications to diverse datasets internationally informing the reliability and validity of the approach. The IC-CoDE represents a novel approach to the analysis and interpretation of neuropsychological data in epilepsy that offers to advance a global taxonomy of cognitive disorders in epilepsy facilitating international collaboration and big data science.

Development of a machine learning algorithm to predict the residual cognitive reserve index.

Elucidating the mechanisms by which late-life neurodegeneration causes cognitive decline requires understanding why some individuals are more resilient than others to the effects of brain change on cognition (cognitive reserve). Currently, there is no way of measuring cognitive reserve that is valid (e.g. capable of moderating brain-cognition associations), widely accessible (e.g. does not require neuroimaging and large sample sizes), and able to provide insight into resilience-promoting mechanisms. To address these limitations, this study sought to determine whether a machine learning approach to combining standard clinical variables could (i) predict a residual-based cognitive reserve criterion standard and (ii) prospectively moderate brain-cognition associations. In a training sample combining data from the University of California (UC) Davis and the Alzheimer's Disease Neuroimaging Initiative-2 (ADNI-2) cohort (N = 1665), we operationalized cognitive reserve using an MRI-based residual approach. An eXtreme Gradient Boosting machine learning algorithm was trained to predict this residual reserve index (RRI) using three models: Minimal (basic clinical data, such as age, education, anthropometrics, and blood pressure), Extended (Minimal model plus cognitive screening, word reading, and depression measures), and Full [Extended model plus Clinical Dementia Rating (CDR) and Everyday Cognition (ECog) scale]. External validation was performed in an independent sample of ADNI 1/3/GO participants (N = 1640), which examined whether the effects of brain change on cognitive change were moderated by the machine learning models' cognitive reserve estimates. The three machine learning models differed in their accuracy and validity. The Minimal model did not correlate strongly with the criterion standard (r = 0.23) and did not moderate the effects of brain change on cognitive change. In contrast, the Extended and Full models were modestly correlated with the criterion standard (r = 0.49 and 0.54, respectively) and prospectively moderated longitudinal brain-cognition associations, outperforming other cognitive reserve proxies (education, word reading). The primary difference between the Minimal model-which did not perform well as a measure of cognitive reserve-and the Extended and Full models-which demonstrated good accuracy and validity-is the lack of cognitive performance and informant-report data in the Minimal model. This suggests that basic clinical variables like anthropometrics, vital signs, and demographics are not sufficient for estimating cognitive reserve. Rather, the most accurate and valid estimates of cognitive reserve were obtained when cognitive performance data-ideally augmented by informant-reported functioning-was used. These results indicate that a dynamic and accessible proxy for cognitive reserve can be generated for individuals without neuroimaging data and gives some insight into factors that may promote resilience.

Distinguishing the role of positivity bias, cognitive impairment and emotional reactivity in the deontological preference in multiple sclerosis during moral dilemmas: a social cognition study protocol.

Background: Multiple sclerosis (MS) is a chronic inflammatory and neurodegenerative disease of the central nervous system characterized by a broad and unpredictable range of symptoms, including cognitive and sociocognitive dysfunction. Among these social-cognitive functions, moral judgment has been explored in persons with MS (PwMS) using moral dilemmas, where participants must decide whether to sacrifice one person to save a greater number. Opting for such a sacrifice reflects utilitarian reasoning (sacrificing one for the benefit of many is deemed acceptable), while refusing reflects deontological reasoning (such sacrifice is considered morally wrong). Compared to controls, PwMS have been shown to make greater deontological moral choices in such dilemmas. Objectives: While PwMS have demonstrated a higher tendency for deontological moral choices in moral dilemmas compared to controls, the underlying determinants of this reasoning pattern remain unclear. In this project, we aim to investigate cognitive, emotional, and motivational factors that may explain deontological decision-making in MS. Methods and analysis: We will recruit a sample of 45 PwMS and 45 controls aged 18-55 years. The type of response, deontological or utilitarian, to a series of 20 vignettes of moral dilemmas will constitute the primary outcomes. Global cognitive performance, positivity bias, alexithymia and empathy levels as well as emotional reactivity measured by electrodermal activity (EDA) during moral dilemmas will be secondary outcomes. Ethics and dissemination: Ethics approval was granted by a national ethical committee (CPP Ouest III, national number 2023-A00447-38). The project is sponsored by the ARSEP Foundation. Findings will be presented at national and international conferences, as well as published in peer-reviewed scientific journals.

Cultural and multicultural topics in Neuropsychology Journal titles from 2010-2020.

OBJECTIVE: The values of a field are reflected in the science it publishes. The goal of this study was to present a historical analysis of the extent to which the field of clinical neuropsychology publishes journals with titles that address culture in the context of brain function and behavior between 2010 and 2020. METHODS: Titles from articles published in 13 neuropsychology journals from 2010-2020 were collected and coded with regard to culture and multicultural content. The aims of the study were to (1) determine how often cultural or multicultural topics were represented in journal titles, (2) determine if cultural or multicultural content in neuropsychology journal publication titles increased over time, and (3) to explore other neuropsychological content that was most and least likely to appear in publications pertaining to culture or multicultural issues. RESULTS: Results indicated that titles for publications in clinical neuropsychology journals with content relevant to cultural or multicultural neuropsychology represented 1.1% to 13.4% of titles across the 13 journals. The number of cultural/multicultural titles increased over time. The number of cultural/multicultural titles per journal was not significantly correlated with the journal impact factor. Normative data were addressed significantly more often in cultural/multicultural titles versus non-cultural/multicultural titles, whereas psychiatric issues were addressed significantly less often. CONCLUSIONS: There are many actions that clinical neuropsychologists can take to increase the field's attention to the effects of culture on brain function and behavior. It is vital to update our data from 2021 to the present, given the substantial increase in awareness of social justice issues that occurred since 2020.

Attention Training following Moderate to Severe Traumatic Brain Injury in Adults: A Systematic Review.

OBJECTIVE: To determine the extent and efficacy of attentional training as a form of neuropsychological rehabilitation to ameliorate attention deficits in adults with moderate to severe TBI. DATA SOURCES: Articles published in CINAHL, Cochrane Library, PubMed, PsycINFO, Scopus, and Web of Science were searched between 17 January and 27 February 2021. STUDY SELECTION: Two reviewers blindly assessed studies for eligibility according to the following criteria: any article evaluating the efficacy of any type of behavioral intervention that targeted attention (by means of cognitive rehabilitative, psychoeducational, or neuropsychological strategies, at either an individual or group level) in adults who had sustained a formally documented moderate-to-severe TBI. DATA EXTRACTION: Methodological quality of each article was blindly assessed by two reviewers. Data were extracted from each study, including study type, sample size, sample characteristics, summary of intervention, measures used to assess attention, statistical outcomes and results, effect size, conclusion, and limitations. DATA SYNTHESIS: 7 314 articles were retrieved from databases, 4 325 articles remained after duplicate removal, and finally 21 articles met eligibility criteria and were included in this review. Articles represented varied methodological quality in group or single subject design. Irrespective of the heterogeneity regarding intervention types and attentional outcome measures used across the studies, overall findings suggest that attentional gains can be made in this sample, irrespective of time since injury, age, and injury severity. Further, a growing interest in technology-based interventions is frequently used and holds promise to bettering rehabilitation efforts. However, there is still limited evidence supporting the ecological validity of attentional training interventions (e.g., the transfer of treatment effects to daily activities). CONCLUSION: This paper plays a crucial role in informing ongoing rehabilitation practices, guiding clinicians with evidence-based strategies and shaping future research directions for more effective attentional training guidelines.

Applications of teleneuropsychology to the screening and monitoring of epilepsy.

Epilepsy is an inherently dynamic disease and neuropsychology plays a key role in the formulation, monitoring and management of the condition. Teleneuropsychology provides an opportunity for neuropsychology to increase its accessibility, reach and efficiency, using focussed assessments to target epilepsy relevant domains at critical timepoints in the disease trajectory. Neuropsychologists working with epilepsy have, however, been comparatively slow to adopt telehealth methods. Here we review recent developments in teleneuropsychology, with particular reference to applications and considerations in Late Onset Epilepsy. Three different approaches to remote assessment of cognition are discussed: unsupervised, computer-administered assessments; telephone-based assessments; and videoconference-based assessments. Uptake of unsupervised, computer-administered (browser or app-based) assessments has been strongest in aging research, where there is now evidence of feasibility, reliability, and validity, especially for measures of speed and working memory. Telephone-based assessments are well established in older aged cohorts and have recently been applied in epilepsy. Such assessments are widely accessible from a technology perspective, though reliance on a purely oral medium limits cognitive domain coverage. Videoconference based assessments have partially addressed this limitation, though continue to rely largely upon finding ways to administer legacy materials via the medium rather than intrinsically exploiting the technology. We argue that the future of neuropsychology requires development of integrated videoconference-based, computer-assisted cognitive testing, combining the benefits of computerised assessments with the advantages of human led assessments. Such an approach will be applicable across neuropsychological conditions, from childhood through to older adults.