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Neurological Sciences : Official... Feb 2022Telerehabilitation (TR) seems to be an encouraging solution for the delivery of cognitive treatments in patients with neurological disorders. This study was aimed to... (Meta-Analysis)
Meta-Analysis Review
Telerehabilitation (TR) seems to be an encouraging solution for the delivery of cognitive treatments in patients with neurological disorders. This study was aimed to analyze and synthesize the evidence on the efficacy of cognitive TR interventions in patients with neurological diseases, compared with conventional face-to-face rehabilitation. From a total of 4485 records, 9 studies met the inclusion criteria for qualitative analysis. At the end of the process, 7 studies remained for quantitative analysis. By comparing TR with face-to-face treatments for cognitive impairments, we assessed improvements in global cognitive domain (Mini Mental State Exam) (MD = -0.86; 95% CI -2.43, 0.72, I = 0%), in learning and memory domains (SMD = 0.26, 95% CI -0.22, 0.74, I = 24%), in verbal fluency (SMD = 0.08, 95% CI -0.47, 0.62, I = 0%), and in executive functions (i.e., problem-solving, central processing speed and working memory) (SMD = 0.38, 95% CI 0.06, 0.71, I = 0%). In all the included studies, improvement in the performance of the TR groups was comparable to that achieved through face-to-face intervention. Significant differences between those two modalities of providing treatments were observed for working memory and total executive function comparison, in favor of TR. The results of this study can sustain the efficacy of TR and its application for the treatment of neurological patients, especially when treated for executive function impairments.
Topics: Cognition; Cognitive Dysfunction; Executive Function; Humans; Telerehabilitation
PubMed: 34822030
DOI: 10.1007/s10072-021-05770-6 -
International Journal of Environmental... Aug 2022Observational learning is an effective pedagogical approach that can influence students' motor skill development at every level of physical education (PE). This study... (Review)
Review
Observational learning is an effective pedagogical approach that can influence students' motor skill development at every level of physical education (PE). This study aimed to systematically summarize the evidence on observational learning for motor skill learning in PE and to generalize the evidence on the effect of model formats and verbal cues during observational learning. An electronic search of eight databases was conducted. Eighteen studies were included and their methodological quality was assessed using the Physiotherapy Evidence Database Scale. Best evidence synthesis (BES) was used to assess levels of evidence. Strong evidence supported the effect of observational learning on students' motor skill learning compared to students who did not participate in observational learning. Moderate evidence suggested that there is no significant difference in the effectiveness of observing an expert model compared to a self-model. Conflicting evidence was identified for the effect of the presence of verbal cues compared to the absence of verbal cues during observational learning. The results suggest that observational learning is useful for students' motor skill learning in PE. Given the influences of potential factors, we recommend that future studies investigate how observational learning interacts with verbal cues on students' motor skill learning.
Topics: Clinical Competence; Humans; Learning; Motor Skills; Physical Education and Training; Students
PubMed: 36011744
DOI: 10.3390/ijerph191610109 -
International Journal of Environmental... Dec 2020Late preterm children born between 34 and 36 weeks' gestation account for ≈70% of prematurely born infants. There is growing concern about this population at risk of...
Late preterm children born between 34 and 36 weeks' gestation account for ≈70% of prematurely born infants. There is growing concern about this population at risk of mild neurodevelopmental problems, learning disabilities and lower academic performance. Following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) statement, this paper analyzes recent published evidence from 16selected studies involving late preterm children and control group assessments at preschool and/or school age, mainly focusing on cognitive functioning, language learning and academic achievement. The review identifies the assessment tools used in these studies (standardized tests, parental questionnaires and laboratory tasks) and the areas being evaluated from preschool (age 3 years) to primary school levels. Results reveal the presence of mild difficulties, pointing to suboptimal outcomes in areas such as executive function, short term verbal memory, literacy skills, attention and processing speed. Some difficulties are transient, but others persist, possibly compromising academic achievement, as suggested by the few studies reporting on higher risk for poor school performance. Given the increasing number of late preterm children in our society the review highlights the need to implement screening strategies to facilitate early risk detection and minimize the negative effects of this morbidity in childhood.
Topics: Adolescent; Child; Child, Preschool; Cognition; Cross-Sectional Studies; Gestational Age; Humans; Infant, Newborn; Infant, Premature; Premature Birth; Schools
PubMed: 33374182
DOI: 10.3390/ijerph18010074 -
Documenta Ophthalmologica. Advances in... Feb 2021Visual evoked potentials (VEPs) can be used to measure visual resolution via a spatial frequency (SF) limit as an objective estimate of visual acuity. The aim of this... (Review)
Review
PURPOSE
Visual evoked potentials (VEPs) can be used to measure visual resolution via a spatial frequency (SF) limit as an objective estimate of visual acuity. The aim of this systematic review is to collate descriptions of the VEP SF limit in humans, healthy and disordered, and to assess how accurately and precisely VEP SF limits reflect visual acuity.
METHODS
The protocol methodology followed the PRISMA statement. Multiple databases were searched using "VEP" and "acuity" and associated terms, plus hand search: titles, abstracts or full text were reviewed for eligibility. Data extracted included VEP SF limits, stimulus protocols, VEP recording and analysis techniques and correspondence with behavioural acuity for normally sighted healthy adults, typically developing infants and children, healthy adults with artificially degraded vision and patients with ophthalmic or neurological conditions.
RESULTS
A total of 155 studies are included. Commonly used stimulus, recording and analysis techniques are summarised. Average healthy adult VEP SF limits vary from 15 to 40 cpd, depend on stimulus, recording and analysis techniques and are often, but not always, poorer than behavioural acuity measured either psychophysically with an identical stimulus or with a clinical acuity test. The difference between VEP SF limit and behavioural acuity is variable and strongly dependent on the VEP stimulus and choice of acuity test. VEP SF limits mature rapidly, from 1.5 to 9 cpd by the end of the first month of life to 12-20 cpd by 8-12 months, with slower improvement to 20-40 cpd by 3-5 years. VEP SF limits are much better than behavioural thresholds in the youngest, typically developing infants. This difference lessens with age and reaches equivalence between 1 and 2 years; from around 3-5 years, behavioural acuity is better than the VEP SF limit, as for adults. Healthy, artificially blurred adults had slightly better behavioural acuity than VEP SF limits across a wide range of acuities, while adults with heterogeneous ophthalmic or neurological pathologies causing reduced acuity showed a much wider and less consistent relationship. For refractive error, ocular media opacity or pathology primarily affecting the retina, VEP SF limits and behavioural acuity had a fairly consistent relationship across a wide range of acuity. This relationship was much less consistent or close for primarily macular, optic nerve or neurological conditions such as amblyopia. VEP SF limits were almost always normal in patients with non-organic visual acuity loss.
CONCLUSIONS
The VEP SF limit has great utility as an objective acuity estimator, especially in pre-verbal children or patients of any age with motor or learning impairments which prevent reliable measurement of behavioural acuity. Its diagnostic power depends heavily on adequate, age-stratified, reference data, age-stratified empirical calibration with behavioural acuity, and interpretation in the light of other electrophysiological and clinical findings. Future developments could encompass faster, more objective and robust techniques such as real-time, adaptive control.
REGISTRATION
International prospective register of systematic reviews PROSPERO ( https://www.crd.york.ac.uk/PROSPERO/ ), registration number CRD42018085666.
Topics: Adult; Amblyopia; Child; Child, Preschool; Electroretinography; Evoked Potentials, Visual; Humans; Infant; Vision, Ocular; Visual Acuity
PubMed: 32488810
DOI: 10.1007/s10633-020-09770-3 -
Frontiers in Public Health 2022Despite numerous instruments existing to assist in the measurement of specific cyberbullying behaviors or cyberbullying in general, it is still unclear their purpose,...
Despite numerous instruments existing to assist in the measurement of specific cyberbullying behaviors or cyberbullying in general, it is still unclear their purpose, corresponding scenarios, and their effectiveness. This study, therefore, aims to provide a comprehensive review of academic efforts on cyberbullying definitions, measurements, and their effectiveness in children and adolescents in the past two decades. A systematic review was performed using ASReview, an open source machine learning systematic review system. Three bibliographic citation databases, including Web of Science core collection, PubMed, and EBSCO were adopted for all relevant literature published from January 2001 to August 2021. In total, twenty-five studies, mentioning seventeen cyberbullying measurement scales, met the study collection criteria. The results found that most failed to provide a clear definition of cyberbullying, often providing unclear and inconsistent descriptions for the youth. Similarly, studies found it difficult to clearly reflect the three key elements of bullying, namely: harmfulness, repetitiveness, and the power imbalance between bullies and victims. With regard to cyberbullying types, most presented two or three categories, including victimization, perpetration, and bystanding, while some suggested four types based on the nature of the cyberbullying behavior, including written or verbal, visual or sexual, character impersonation, and exclusion. If characteristics are considered, cyberbullying becomes more specific with multiple categories being proposed, including flaming (or roasting), harassment, denigration, defamation, outing, jokes, online sexual harassment, and cyberstalking. With regard to measurements, many scales have been proposed and frequently refined to capture specific cyberbullying experience of the youth. This study emphasizes the value and importance of providing clear cyberbullying definitions and helps scholars in youth cyberbullying choose appropriate measurement scales.
Topics: Child; Adolescent; Humans; Cyberbullying; Bullying; Crime Victims
PubMed: 36388377
DOI: 10.3389/fpubh.2022.1000504 -
Brain and Behavior Jun 2023Multiple sclerosis (MS) is a chronic demyelinating/neurodegenerative disease associated with change in cognitive function (CF) over time. This systematic review aims to... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Multiple sclerosis (MS) is a chronic demyelinating/neurodegenerative disease associated with change in cognitive function (CF) over time. This systematic review aims to describe the instruments used to measure change in CF over time in people with MS (PwMS).
METHODS
PubMed, OVID, Web of Science, and Scopus databases were searched in English until May 2021. Articles were included if they had at least 100 participants and at least a 1-year interval between baseline and last follow-up measurement of CF. Results were quantitatively synthesized, presented in tables and risk of bias was assessed with the Newcastle-Ottawa Scale.
RESULTS
Fifty-seven articles met the inclusion criteria (41,623 PwMS and 1105 controls). An intervention (drug/rehabilitation) was assessed in 22 articles. In the studies that used a test battery, Visual and verbal learning and memory were the most frequently measured domains, but when studies that used test battery or a single test are combined, Information processing speed was the most measured. The Symbol Digit Modalities Test (SDMT) was the most frequently used test as a single test and in a test battery combined. Most studied assessed "change in CF" as cognitive decline defined as 1 or more tests measured as ≥ 1.5 SD from the study control or normative mean in a test battery at baseline and follow-up. Meta-analysis of change in SDMT scores with seven articles indicated a nonstatistically significant -0.03 (95% CI -0.14, 0.09) decrease in mean SDMT score per year.
CONCLUSION
This study highlights the slow rate of measured change in cognition in PwMS and emphasizes the lack of a gold standard test and consistency in measuring cognitive change at the population level. More sensitive testing utilizing multiple domains and longer follow-up may define subgroups where CF change follows different trajectories thus allowing targeted interventions to directly support those where CF is at greatest risk of becoming a clinically meaningful issue.
Topics: Humans; Multiple Sclerosis; Cognition Disorders; Neurodegenerative Diseases; Cognition; Cognitive Dysfunction; Neuropsychological Tests
PubMed: 37062948
DOI: 10.1002/brb3.3009 -
Journal of Neurosurgery. Pediatrics Jan 2023The current literature on unilateral coronal craniosynostosis is replete with repair techniques and surgical outcomes; however, information regarding neurodevelopment... (Meta-Analysis)
Meta-Analysis
OBJECTIVE
The current literature on unilateral coronal craniosynostosis is replete with repair techniques and surgical outcomes; however, information regarding neurodevelopment remains unclear. Therefore, the aim of this systematic review and meta-analysis was to comprehensively assess the neurodevelopmental outcomes of patients with unicoronal craniosynostosis compared with their healthy peers or normative data.
METHODS
A systematic review of the Ovid MEDLINE, Embase, Web of Science, Scopus, Cochrane Library, and ClinicalTrials.gov databases from database inception to January 19, 2022, was performed. Included studies assessed neurodevelopment of patients with unicoronal craniosynostosis. Two independent reviewers selected studies and extracted data based on a priori inclusion and exclusion criteria. Results of developmental tests were compared with normative data or controls to generate Hedges' g statistics for meta-analysis. The quality of included studies was evaluated using the National Institutes of Health Assessment Tool.
RESULTS
A total of 19 studies were included and analyzed, with an overall fair reporting quality. A meta-analysis of 325 postoperative patients demonstrated that scores of general neurodevelopment were below average but within one standard deviation of the norm (Hedges' g = -0.68 [95% CI -0.90 to -0.45], p < 0.001). Similarly, postoperative patients exhibited lower scores in verbal, psychomotor, and mathematic outcome assessments.
CONCLUSIONS
This systematic review and meta-analysis found that patients with unicoronal craniosynostosis had poorer neurodevelopment, although scores generally remained within the normal range. These data may guide implementation of regular neurocognitive assessments and early learning support of patients with unicoronal craniosynostosis.
Topics: United States; Humans; Craniosynostoses; Outcome Assessment, Health Care; Databases, Factual
PubMed: 36272117
DOI: 10.3171/2022.9.PEDS22283 -
International Journal of Telemedicine... 2022Autism spectrum disorder (ASD) is a complex neurobehavioral condition that begins in childhood and continues throughout life, affecting communication and verbal and... (Review)
Review
Diagnosis-Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning Techniques: A Systematic Review.
Autism spectrum disorder (ASD) is a complex neurobehavioral condition that begins in childhood and continues throughout life, affecting communication and verbal and behavioral skills. It is challenging to discover autism in the early stages of life, which prompted researchers to intensify efforts to reach the best solutions to treat this challenge by introducing artificial intelligence (AI) techniques and machine learning (ML) algorithms, which played an essential role in greatly assisting the medical and healthcare staff and trying to obtain the highest predictive results for autism spectrum disorder. This study is aimed at systematically reviewing the literature related to the criteria, including multimedical tests and sociodemographic characteristics in AI techniques and ML contributions. Accordingly, this study checked the Web of Science (WoS), Science Direct (SD), IEEE Xplore digital library, and Scopus databases. A set of 944 articles from 2017 to 2021 is collected to reveal a clear picture and better understand all the academic literature through a definitive collection of 40 articles based on our inclusion and exclusion criteria. The selected articles were divided based on similarity, objective, and aim evidence across studies. They are divided into two main categories: the first category is "diagnosis of ASD based on questionnaires and sociodemographic features" ( = 39). This category contains a subsection that consists of three categories: (a) early diagnosis of ASD towards analysis, (b) diagnosis of ASD towards prediction, and (c) diagnosis of ASD based on resampling techniques. The second category consists of "diagnosis ASD based on medical and family characteristic features" ( = 1). This multidisciplinary systematic review revealed the taxonomy, motivations, recommendations, and challenges of diagnosis ASD research in utilizing AI techniques and ML algorithms that need synergistic attention. Thus, this systematic review performs a comprehensive science mapping analysis and identifies the open issues that help accomplish the recommended solution of diagnosis ASD research. Finally, this study critically reviews the literature and attempts to address the diagnosis ASD research gaps in knowledge and highlights the available ASD datasets, AI techniques and ML algorithms, and the feature selection methods that have been collected from the final set of articles.
PubMed: 35814280
DOI: 10.1155/2022/3551528 -
Pain Jun 2023Placebo effects, positive treatment outcomes that go beyond treatment processes, can alter sensations through learning mechanisms. Understanding how methodological... (Meta-Analysis)
Meta-Analysis
Placebo effects, positive treatment outcomes that go beyond treatment processes, can alter sensations through learning mechanisms. Understanding how methodological factors contribute to the magnitude of placebo effects will help define the mechanisms by which these effects occur. We conducted a systematic review and meta-analysis of experimental placebo studies in cutaneous pain and itch in healthy samples, focused on how differences in methodology contribute to the resulting placebo effect magnitude. We conducted meta-analyses by learning mechanism and sensation, namely, for classical conditioning with verbal suggestion, verbal suggestion alone, and observational learning, separately for pain and itch. We conducted subgroup analyses and meta-regression on the type of sensory stimuli, placebo treatment, number of acquisition and evocation trials, differences in calibrated intensities for placebo and control stimuli during acquisition, age, and sex. We replicated findings showing that a combination of classical conditioning with verbal suggestion induced larger placebo effects on pain ( k = 68, g = 0 . 59) than verbal suggestion alone ( k = 39, g = 0.38) and found a smaller effect for itch with verbal suggestion alone ( k = 7, g = 0.14). Using sham electrodes as placebo treatments corresponded with larger placebo effects on pain than when topical gels were used. Other methodological and demographic factors did not significantly affect placebo magnitudes. Placebo effects on pain and itch reliably occur in experimental settings with varied methods, and conditioning with verbal suggestion produced the strongest effects. Although methods may shape the placebo effect to some extent, these effects appear robust overall, and their underlying learning mechanisms may be harnessed for applications outside the laboratory.
Topics: Humans; Placebo Effect; Pain; Pruritus; Conditioning, Classical; Treatment Outcome; Suggestion
PubMed: 36718994
DOI: 10.1097/j.pain.0000000000002820 -
Diagnostics (Basel, Switzerland) Sep 2022Cognitive dysfunctions represent a core feature of schizophrenia-spectrum disorders due to their presence throughout different illness stages and their impact on... (Review)
Review
Cognitive dysfunctions represent a core feature of schizophrenia-spectrum disorders due to their presence throughout different illness stages and their impact on functioning. Abnormalities in electrophysiology (EEG) measures are highly related to these impairments, but the use of EEG indices in clinical practice is still limited. A systematic review of articles using Pubmed, Scopus and PsychINFO was undertaken in November 2021 to provide an overview of the relationships between EEG indices and cognitive impairment in schizophrenia-spectrum disorders. Out of 2433 screened records, 135 studies were included in a qualitative review. Although the results were heterogeneous, some significant correlations were identified. In particular, abnormalities in alpha, theta and gamma activity, as well as in MMN and P300, were associated with impairments in cognitive domains such as attention, working memory, visual and verbal learning and executive functioning during at-risk mental states, early and chronic stages of schizophrenia-spectrum disorders. The review suggests that machine learning approaches together with a careful selection of validated EEG and cognitive indices and characterization of clinical phenotypes might contribute to increase the use of EEG-based measures in clinical settings.
PubMed: 36140594
DOI: 10.3390/diagnostics12092193