-
Brain Sciences Sep 2022Neurofeedback (NF) is a type of biofeedback in which an individual's brain activity is measured and presented to them to support self-regulation of ongoing brain... (Review)
Review
Neurofeedback (NF) is a type of biofeedback in which an individual's brain activity is measured and presented to them to support self-regulation of ongoing brain oscillations and achieve specific behavioral and neurophysiological outcomes. NF training induces changes in neurophysiological circuits that are associated with behavioral changes. Recent evidence suggests that the NF technique can be used to train electrical brain activity and facilitate learning among children with learning disorders. Toward this aim, this review first presents a generalized model for NF systems, and then studies involving NF training for children with disorders such as dyslexia, attention-deficit/hyperactivity disorder (ADHD), and other specific learning disorders such as dyscalculia and dysgraphia are reviewed. The discussion elaborates on the potential for translational applications of NF in educational and learning settings with details. This review also addresses some issues concerning the role of NF in education, and it concludes with some solutions and future directions. In order to provide the best learning environment for children with ADHD and other learning disorders, it is critical to better understand the role of NF in educational settings. The review provides the potential challenges of the current systems to aid in highlighting the issues undermining the efficacy of current systems and identifying solutions to address them. The review focuses on the use of NF technology in education for the development of adaptive teaching methods and the best learning environment for children with learning disabilities.
PubMed: 36138974
DOI: 10.3390/brainsci12091238 -
Brain Sciences May 2021Specific Learning Disorder (SLD) is a multifactorial, neurodevelopmental disorder which may involve persistent difficulties in reading (dyslexia), written expression... (Review)
Review
Specific Learning Disorder (SLD) is a multifactorial, neurodevelopmental disorder which may involve persistent difficulties in reading (dyslexia), written expression and/or mathematics. Dyslexia is characterized by difficulties with speed and accuracy of word reading, deficient decoding abilities, and poor spelling. Several studies from different, but complementary, scientific disciplines have investigated possible causal/risk factors for SLD. Biological, neurological, hereditary, cognitive, linguistic-phonological, developmental and environmental factors have been incriminated. Despite worldwide agreement that SLD is highly heritable, its exact biological basis remains elusive. We herein present: (a) an update of studies that have shaped our current knowledge on the disorder's genetic architecture; (b) a discussion on whether this genetic architecture is 'unique' to SLD or, alternatively, whether there is an underlying common genetic background with other neurodevelopmental disorders; and, (c) a brief discussion on whether we are at a position of generating meaningful correlations between genetic findings and anatomical data from neuroimaging studies or specific molecular/cellular pathways. We conclude with open research questions that could drive future research directions.
PubMed: 34068951
DOI: 10.3390/brainsci11050631 -
Frontiers in Human Neuroscience 2021
PubMed: 33994984
DOI: 10.3389/fnhum.2021.670460 -
Dementia & Neuropsychologia 2022Expansive mutations in familial mental retardation 1 () gene have been associated with different phenotypes. Full mutations are associated with intellectual disability...
UNLABELLED
Expansive mutations in familial mental retardation 1 () gene have been associated with different phenotypes. Full mutations are associated with intellectual disability and autism spectrum disorder; premutations are associated with math learning difficulties and working memory impairments. In gray zone, neuropsychological development has not yet been described.
OBJECTIVES
This study aimed to describe the frequency of premutation and gray zone alleles in a school population sample representing a broad spectrum of variation in math achievement and detail school achievement and cognitive performance in the children identified with premutation or gray zone alleles.
METHODS
We described a two-phase study. In the first phase, 2,195 school-age children were screened for math achievement. In the second phase, 378 children with normal intelligence were neuropsychologically assessed and genotyped for . Of these, 121 children (61 girls) performed below percentile 25 in mathematics (MD group) and 257 children (146 girls) performed above percentile 25 (control group).
RESULTS
Four pupils presented expanded alleles, one premutation and three gray zone alleles. The girl with the premutation and one boy with a gray zone allele presented impairments in working memory and arithmetic performance below percentile 6, compatible with the diagnosis of developmental dyscalculia. These children's difficulties were not associated with inaccuracy of nonsymbolic number representations or literacy impairments. Dyscalculia in these children seems to be associated mainly with working memory impairments.
CONCLUSIONS
expansions in the gray zone may contribute to dyscalculia in otherwise healthy and normally intelligent children.
PubMed: 35719251
DOI: 10.1590/1980-5764-DN-2021-0035 -
Frontiers in Neuroscience 2021Impaired phonological processing is a leading symptom of multifactorial language and learning disorders suggesting a common biological basis. Here we evaluated studies...
Impaired phonological processing is a leading symptom of multifactorial language and learning disorders suggesting a common biological basis. Here we evaluated studies of dyslexia, dyscalculia, specific language impairment (SLI), and the logopenic variant of primary progressive aphasia (lvPPA) seeking for shared risk genes in Broca's and Wernicke's regions, being key for phonological processing within the complex language network. The identified "phonology-related genes" from literature were functionally characterized using Atlas-based expression mapping (JuGEx) and gene set enrichment. Out of 643 publications from the last decade until now, we extracted 21 candidate genes of which 13 overlapped with dyslexia and SLI, six with dyslexia and dyscalculia, and two with dyslexia, dyscalculia, and SLI. No overlap was observed between the childhood disorders and the late-onset lvPPA often showing symptoms of learning disorders earlier in life. Multiple genes were enriched in Gene Ontology terms of the topics learning () and neuronal development (, , , , ). Twelve genes showed above-average expression across both regions indicating moderate-to-high gene activity in the investigated cortical part of the language network. Of these, three genes were differentially expressed suggesting potential regional specializations: was upregulated in Broca's region, while and were upregulated in Wernicke's region. encodes a magnesium-dependent calcium transporter which fits with reports about disturbed calcium and magnesium levels for dyslexia and other communication disorders. (formerly known as ) is involved in neuronal migration supporting the hypothesis of disturbed migration in dyslexia. is a transcription factor that regulates a number of genes involved in development of speech and language. Overall, our interdisciplinary and multi-tiered approach provided evidence that genetic and transcriptional variation of , , and may play a role in physiological and pathological aspects of phonological processing.
PubMed: 34539327
DOI: 10.3389/fnins.2021.680762 -
PeerJ 2021Dyscalculia is a specific learning disorder affecting the ability to learn certain math processes, such as arithmetic data recovery. The group of children with...
INTRODUCTION
Dyscalculia is a specific learning disorder affecting the ability to learn certain math processes, such as arithmetic data recovery. The group of children with dyscalculia is very heterogeneous, in part due to variability in their working memory (WM) deficits. To assess the brain response to arithmetic data recovery, we applied an arithmetic verification task during an event-related potential (ERP) recording. Two effects have been reported: the N400 effect (higher negative amplitude for incongruent than for congruent condition), associated with arithmetic incongruency and caused by the arithmetic priming effect, and the LPC effect (higher positive amplitude for the incongruent compared to the congruent condition), associated with a reevaluation process and modulated by the plausibility of the presented condition. This study aimed to (a) compare arithmetic processing between children with dyscalculia and children with good academic performance (GAP) using ERPs during an addition verification task and (b) explore, among children with dyscalculia, the relationship between WM and ERP effects.
MATERIALS AND METHODS
EEGs of 22 children with dyscalculia (DYS group) and 22 children with GAP (GAP group) were recorded during the performance of an addition verification task. ERPs synchronized with the probe stimulus were computed separately for the congruent and incongruent probes, and included only epochs with correct answers. Mixed 2-way ANOVAs for response times and correct answers were conducted. Comparisons between groups and correlation analyses using ERP amplitude data were carried out through multivariate nonparametric permutation tests.
RESULTS
The GAP group obtained more correct answers than the DYS group. An arithmetic N400 effect was observed in the GAP group but not in the DYS group. Both groups displayed an LPC effect. The larger the LPC amplitude was, the higher the WM index. Two subgroups were found within the DYS group: one with an average WM index and the other with a lower than average WM index. These subgroups displayed different ERPs patterns.
DISCUSSION
The results indicated that the group of children with dyscalculia was very heterogeneous and therefore failed to show a robust LPC effect. Some of these children had WM deficits. When WM deficits were considered together with dyscalculia, an atypical ERP pattern that reflected their processing difficulties emerged. Their lack of the arithmetic N400 effect suggested that the processing in this step was not useful enough to produce an answer; thus, it was necessary to reevaluate the arithmetic-calculation process (LPC) in order to deliver a correct answer.
CONCLUSION
Given that dyscalculia is a very heterogeneous deficit, studies examining dyscalculia should consider exploring deficits in WM because the whole group of children with dyscalculia seems to contain at least two subpopulations that differ in their calculation process.
PubMed: 33569247
DOI: 10.7717/peerj.10489 -
Pakistan Journal of Medical Sciences 2020Dealing with Dyslexia, Dysgraphia and Dyscalculia symptoms is a major challenge for teachers and school psychologists while addressing students' issues. The present...
OBJECTIVE
Dealing with Dyslexia, Dysgraphia and Dyscalculia symptoms is a major challenge for teachers and school psychologists while addressing students' issues. The present study was designed to examine the prevalence and comorbidity of specific learning disabilities (SLD) symptoms such as dyslexia, dysgraphia and dyscalculia in public and private schools of Lahore, Pakistan.
METHODS
This cross-sectional study was conducted in four schools of Lahore from June, 2019 to December 2019. We examined 666 participants (boys= 384, girls= 282) from two public (n=409) and two private (n=257) schools of Lahore with a mean age of 13 years (SD±1.44). Participants were assessed on Learning Disabilities Checklist (LDC) along with a demographic sheet. The data were analyzed by using descriptive statistics (frequencies and percentages) and inferential analyses of Chi Square test of association and Cohen's Kappa by using SPSS version 24.
RESULTS
Findings indicated that 39% participants showed SLD symptoms, 33% dyslexia, 48% dysgraphia and 45% dyscalculia symptoms. Significant co-morbidities were seen, such as 30% for dyslexia and dysgraphia symptoms, dyslexia and dyscalculia 26% and dysgraphia and dyscalculia as 36%. Variations in SLD, dyslexia, dysgraphia and dyscalculia symptoms were also seen across gender and schools with significant higher prevalence in public schools.
CONCLUSION
High prevalence of SLD symptoms and comorbidity in students was found which is alarming, particularly in public sector schools in Pakistan. SLD and dyslexia were higher for boys, whereas girls scored high on dysgraphia and dyscalculia. Therefore, there is great need of introducing screening measure of assessment of SLD and management strategies to deal with these issues.
PubMed: 33235593
DOI: 10.12669/pjms.36.7.2486 -
Frontiers in Psychiatry 2022Research in Attention-deficit/hyperactivity disorder (ADHD) has had a clear focus on treatment and the dysfunction in specific situation associated with the condition....
Research in Attention-deficit/hyperactivity disorder (ADHD) has had a clear focus on treatment and the dysfunction in specific situation associated with the condition. However, self-report, observational and anecdotal evidence indicates that there are also positive aspects associated with ADHD. Research on the potential positive features in individuals with an ADHD diagnosis is still limited, especially studies with larger representative samples. Here we performed qualitative research to identify positive aspects and strengths associated with ADHD in a large convenience sample from the Dutch organization for people with ADHD, dyslexia and dyscalculia. We sent out open-ended questionnaires to the members of the organization, asking what they consider to be positive aspects of their ADHD. From the responses of individuals with ADHD ( = 206), we extracted 116 codes, which were assigned to thirteen subthemes, which in turn led to five themes. These themes were: , and . Core symptoms of ADHD such as impulsivity and hyperactivity were also considered positive aspects of ADHD by a minority of participants. After showing our results to a group of additional individuals with ADHD (focus group) they confirmed the identified positive aspects of ADHD. They also helped us with the interpretation of our findings and mentioned certain positive aspects to be a consequence of living with ADHD (being open minded and being honest). In conclusion, experiencing positive aspects seems to be common in ADHD as almost all participants reported positive aspect of ADHD, these aspects cover many different domains. Awareness about ADHD's strengths might help individuals with ADHD and their environment to better cope with, accept or embrace their diagnosis and for example make educational or occupational choices that fit them well. To incorporate these positive aspects in the understanding of ADHD, future research should focus on quantifying strengths in ADHD, and on investigating the link between these aspects and clinical characteristics and how this new knowledge can be implemented in psychoeducation and find its way to education and occupational settings.
PubMed: 36311492
DOI: 10.3389/fpsyt.2022.922788 -
Brain Sciences Feb 2022Mathematical performance implies a series of numerical and mathematical skills (both innate and derived from formal training) as well as certain general cognitive... (Review)
Review
UNLABELLED
Mathematical performance implies a series of numerical and mathematical skills (both innate and derived from formal training) as well as certain general cognitive abilities that, if inadequate, can have a cascading effect on mathematics learning. These latter skills were the focus of the present systematic review.
METHOD
The reviewing process was conducted according to the PRISMA statement. We included 46 studies comparing school-aged children's performance with and without math difficulties in the following cognitive domains: processing speed, phonological awareness, short- and long-term memory, executive functions, and attention.
RESULTS
The results showed that some general cognitive domains were compromised in children with mathematical difficulties (i.e., executive functions, attention, and processing speed).
CONCLUSIONS
These cognitive functions should be evaluated during the diagnostic process in order to better understand the child's profile and propose individually tailored interventions. However, further studies should investigate the role of skills that have been poorly investigated to date (e.g., long-term memory and phonological awareness).
PubMed: 35204002
DOI: 10.3390/brainsci12020239 -
Journal of Clinical Medicine Apr 2022Atypical development of numerical cognition (dyscalculia) may increase the onset of neuropsychiatric symptoms, especially when untreated, and it may have long-term... (Review)
Review
Atypical development of numerical cognition (dyscalculia) may increase the onset of neuropsychiatric symptoms, especially when untreated, and it may have long-term detrimental social consequences. However, evidence-based treatments are still lacking. Despite plenty of studies investigating the effects of transcranial electrical stimulation (tES) on numerical cognition, a systematized synthesis of results is still lacking. In the present systematic review (PROSPERO ID: CRD42021271139), we found that the majority of reports (20 out of 26) showed the effectiveness of tES in improving both number (80%) and arithmetic (76%) processing. In particular, anodal tDCS (regardless of lateralization) over parietal regions, bilateral tDCS (regardless of polarity/lateralization) over frontal regions, and tRNS (regardless of brain regions) strongly enhance number processing. While bilateral tDCS and tRNS over parietal and frontal regions and left anodal tDCS over frontal regions consistently improve arithmetic skills. In addition, tACS seems to be more effective than tDCS at ameliorating arithmetic learning. Despite the variability of methods and paucity of clinical studies, tES seems to be a promising brain-based treatment to enhance numerical cognition. Recommendations for clinical translation, future directions, and limitations are outlined.
PubMed: 35456176
DOI: 10.3390/jcm11082082