Dyslexic Individuals Research Articles

Fostering Psychological Resilience in Dyslexic Children: Exploring the Psychosocial Dynamics of Interpersonal Relationships and Community Support

The present work assumes a study of such multifaceted psychosocial formations, forming the basis of creating a psychological resilience framework concerning dyslexic children. Under the study due to the conceptual vagueness of this concept, the present work is investigating the toll generated by the quality of interpersonal relations along with the trait of the supported community-based environmental factor in the psychosocial well-being of dyslexic individuals, taking into account potential gender specifics of boys and girls experiencing dyslexia. Considering the widespread volume of academic literature in this area and the realistic original dataset at my disposal, the present work reveals differences in how frequent deviations of the reciprocity established positive powers of such interpersonal unity and the continuous repetition of the exposure to the established community-based model affects the resistance against negative relation circumstances and other psychosocial powers that can lead to negative dyslexia-related consequences. In summary, the present work examines the action of reciprocally targeted multiple mechanisms in several psychosocial concepts to identify the potential mechanism of resistance development and the environment formation of possibilities to act concerning persons with dyslexia underscoring the sex-specific heuristic patterns due to dyslexia. Therefore, at the concluding point, the present work is directing potentially relevant further investigations on psychosocial resilience determinants and providing targeted recommendations for everyday practice, taking into account boy and girl skills and special needs.

Probabilistic and explainable modeling of Phase–Phase Cross-Frequency Coupling patterns in EEG. Application to dyslexia diagnosis

This work explores the intricate neural dynamics associated with dyslexia through the lens of Cross-Frequency Coupling (CFC) analysis applied to electroencephalography (EEG) signals evaluated from 48 seven-year-old Spanish readers from the LEEDUCA research platform. The analysis focuses on CFS (Cross-Frequency phase Synchronization) maps, capturing the interaction between different frequency bands during low-level auditory processing stimuli. Then, making use of Gaussian Mixture Models (GMMs), CFS activations are quantified and classified, offering a compressed representation of EEG activation maps. The study unveils promising results specially at the Theta-Gamma coupling (Area Under the Curve = 0.821), demonstrating the method’s sensitivity to dyslexia-related neural patterns and highlighting potential applications in the early identification of dyslexic individuals.

Reframing developmental dyslexia and bilingualism: An overview to enhance strengths and advantages

This paper explores the evolving perceptions of bilingualism and developmental dyslexia, shifting from viewing them as deficits to acknowledging their inherent strengths. This overview contributes to the evolving narrative surrounding dyslexia and bilingualism, urging a revaluation of these conditions from deficit-centered perspectives to recognize the diverse cognitive abilities and adaptive advantages they offer. It delves into the positive aspects associated with developmental dyslexia, highlighting cognitive strengths like visuospatial skills, narrative reasoning, and dynamic reasoning.Additionally, it examines the multifaceted nature of bilingualism, outlining distinctions between types of bilingualism and emphasizing cognitive benefits such as enhanced cognitive flexibility, attentional skills, and executive functions among bilingual individuals. The complexities of language acquisition, socioeconomic factors, and societal support are discussed in understanding the interplay between language acquisition and cognitive development in bilingual contexts. Furthermore, the paper navigates the intricate connection between dyslexia and bilingualism, emphasizing factors like language exposure, linguistic characteristics, and individual cognitive processes that influence their interaction. Dyslexia significantly impacts language acquisition and proficiency in both native and second languages, requiring tailored assessments and interventions for dyslexic bilingual individuals.

Variability in auditory processing performance is associated with reading difficulties rather than with history of otitis media.

The nature and cause of auditory processing deficits in dyslexic individuals have been debated for decades. Auditory processing deficits were argued to be the first step in a causal chain of difficulties, leading to difficulties in speech perception and thereby phonological processing and literacy difficulties. More recently, it has been argued that auditory processing difficulties may not be causally related to language and literacy difficulties. This study compares two groups who have phonological processing impairments for different reasons: dyslexia and a history of otitis media (OM). We compared their discrimination thresholds and response variability to chronological age- and reading age-matched controls, across three auditory processing tasks: frequency discrimination, rise-time discrimination and speech perception. Dyslexic children showed raised frequency discrimination thresholds in comparison with age-matched controls but did not differ from reading age-matched controls or individuals with a history of OM. There were no group differences on speech perception or rise-time tasks. For the dyslexic children, there was an association between phonological awareness and frequency discrimination response variability, but no association with thresholds. These findings are not consistent with a 'causal chain' explanation but could be accounted for within a multiple deficits view of literacy difficulties.

Air writing with Effective Communication Enhancement for Dyslexic Learners

Air writing is a unique method that allows individuals to freely write or draw in the air without the need for sensor devices. One of the significant applications is aimed at addressing the challenges faced by dyslexic children, who often struggle with reading, writing, and spelling. Currently, there is a lack of tailored applications to guide dyslexic children through their learning process. This paper presents a groundbreaking solution designed to assist dyslexic individuals in mastering the art of writing alphabets, digits, and words. Using various hand gestures, children can effortlessly write any character, digit, or word on a virtual canvas and memorize them easily through the hand movements. This approach not only makes learning enjoyable but also boosts a child’s confidence. Additionally, the application allows children to unleash their imagination by creating doodles. While existing air writing methods have limitations, such as reliance on devices and restricting content to digits and characters within predefined boundaries. These limitations have been overcome in our proposed approach. Leveraging afordable technologies, our system caters to the needs of dyslexic learners and serves as an interactive tool to enhance their writing skills. It also provides a means of communication for the deaf and mute community. Utilizing cutting-edge technologies such as machine learning, deep learning, computer vision, and web development, we have developed a practical application that seamlessly tracks finger movements and gestures, capturing trajectories and images for classification. Our model exhibits remarkable performance, achieving a training accuracy rate of 98.57% for digit recognition, 98.80% for character recognition, and 97.09% for doodle recognition. This paper contributes valuable insights into the development of an effective and engaging tool to improve learning skills for students, particularly dyslexic children, while also addressing communication barriers for the deaf and mute community. Our approach opens up new possibilities for inclusive and accessible learning experiences.

Deep learning-driven dyslexia detection model using multi-modality data.

Dyslexia is a neurological disorder that affects an individual's language processing abilities. Early care and intervention can help dyslexic individuals succeed academically and socially. Recent developments in deep learning (DL) approaches motivate researchers to build dyslexia detection models (DDMs). DL approaches facilitate the integration of multi-modality data. However, there are few multi-modality-based DDMs. In this study, the authors built a DL-based DDM using multi-modality data. A squeeze and excitation (SE) integrated MobileNet V3 model, self-attention mechanisms (SA) based EfficientNet B7 model, and early stopping and SA-based Bi-directional long short-term memory (Bi-LSTM) models were developed to extract features from magnetic resonance imaging (MRI), functional MRI, and electroencephalography (EEG) data. In addition, the authors fine-tuned the LightGBM model using the Hyperband optimization technique to detect dyslexia using the extracted features. Three datasets containing FMRI, MRI, and EEG data were used to evaluate the performance of the proposed DDM. The findings supported the significance of the proposed DDM in detecting dyslexia with limited computational resources. The proposed model outperformed the existing DDMs by producing an optimal accuracy of 98.9%, 98.6%, and 98.8% for the FMRI, MRI, and EEG datasets, respectively. Healthcare centers and educational institutions can benefit from the proposed model to identify dyslexia in the initial stages. The interpretability of the proposed model can be improved by integrating vision transformers-based feature extraction.

Genetic Modifications of Developmental Dyslexia and Its Representation Using In Vivo, In Vitro Model.

Dyslexia is a genetic and heritable disorder that has yet to discover the treatment of it, especially at the molecular and drug intervention levels. This review provides an overview of the current findings on the environmental and genetic factors involved in developmental dyslexia. The latest techniques used in diagnosing the disease and macromolecular factors findings may contribute to a higher degree of development in detangling the proper management and treatment for dyslexic individuals. Furthermore, this review tried to put together all the models used in the current dyslexia research for references in future studies that include animal models as well as in vitro models and how the previous research has provided consistent data across many years and regions. Thus, we suggest furthering the studies using an organoid model based on the existing gene polymorphism, pathways, and neuronal function input.

Learning Differently: The Struggles and Silver Linings of Dyslexia

This paper aims to understand the struggles and joys of individuals who have dyslexia. Situated in sociological theory, I contend that dyslexia is biological by nature, but socially constructed as a learning disability. This social construction is culturally shaped and bound by values of nonverbal communication which, consequently, is the area in which dyslexics struggle the most. Using a content analysis style of collecting data, I read hundreds of blog posts aiming to understand the experience of dyslexic individuals living in the United States. This article delves into themes of education, upbringing, and individual perceptions of self. I also explore how an accurate diagnosis of dyslexia can improve learning, which often helps promote positive self-esteem. This study explores how to find the gifts of dyslexia to redefine genius for individuals in Western societies.

Relationship between dyslexia awareness and stigma among nursing students in Saudi Arabia: A cross-sectional study.

Dyslexia-a learning disorder characterized by difficulty in word-level reading skills-can negatively impact nursing students' practice, which can, in turn, affect patient safety. Individuals with dyslexia are often stigmatized. There is a need to explore dyslexia awareness among nursing students and its relationship with stigma in Saudi Arabia. This study aimed to assess the dyslexia awareness levels among nursing students and its relation to stigma. A quantitative cross-sectional study was conducted on 154 nursing students at King Abdulaziz University, Saudi Arabia. Data were collected by asking the students to virtually complete the Knowledge and Beliefs about Developmental Dyslexia Scale (KBDDS) and the Consciousness Questionnaire-Learning Disabilities (SCQ-LD) from February to March 2021. Data were analyzed using chi-square tests to test significance and Cramer's V to determine the strength of the relationships among the categorical variables. The overall dyslexia awareness level was moderate. Most participants believed that people had negative assumptions about individuals with dyslexia and that they judged and treated them differently. A moderately strong positive association was revealed between knowledge of the stigma surrounding dyslexia and knowledge of dyslexia itself (p <0.001). Increased dyslexia awareness is correlated with greater anticipation that dyslexic individuals will be stigmatized. Therefore, dyslexia awareness should be raised among nursing students. Students or nurses with dyslexia should also be encouraged to learn appropriate coping strategies to ensure patient safety.

Does word flickering improve reading? Negative evidence from four experiments using low and high frequencies.

Does word flickering facilitate reading? Despite a lack of scientific evidence, flickering glasses and lamps for dyslexia are being marketed in various countries. We conducted four experiments to assess their efficacy. Two experiments involved a computerized lexical decision task with constant display or low-frequency flickering (10 or 15 Hz). Among 375 regular adult readers, flicker noticeably slowed down word recognition, while slightly biasing the decision towards pseudowords. No significant effect was observed in 20 dyslexic children. In 22 dyslexic children, we also evaluated the impact of the Lexilight lamp and Lexilens glasses, which operate at higher frequencies, on reading fluency, letter identification and mirror letter processing. No detectable impact was observed. Lastly, in two participants who claimed to benefit from flickering glasses, we orthogonally manipulated whether the glasses were actually on, and whether the participant thought they were on. Only a small placebo effect was noted in one participant. Our findings starkly contrast with marketing claims that these tools can help 90% of dyslexics, and emphasize the role of rigorous scientific research in empowering dyslexic individuals to make informed decisions.

Bypass language en route to meaning at your peril.

The learning account of the puzzle of ideography cannot be dismissed as readily as Morin maintains, and is compatible with the standardization account. The reading difficulties of deaf and dyslexic individuals, who cannot easily form connections between written letter strings and spoken words, suggest limits to our ability to bypass speech and reliably access meaning directly from graphic symbols.

Heterogeneity of short-term memory deficits in children with dyslexia.

Many studies have highlighted short-term memory (STM) impairment in dyslexic individuals. Several studies showed deficits for both item and serial order aspects of verbal STM in dyslexic individuals. These group-based studies, however, do not inform us about the prevalence of these deficits and, importantly, their potential heterogeneity at the individual level. The present study examined both group-level and individual STM profiles in dyslexic and age-matched non-dyslexic children. While confirming previous group-based results of both item and serial order STM deficits, individual analyses indicated two distinct profiles: one profile was associated with verbal item STM and phonological impairment while another profile showed selective serial STM deficits in both verbal and visual domains. Our results highlight the need for practitioners to consider the heterogeneous nature of STM impairment in dyslexia and to adapt STM and reading treatment strategies accordingly.

Topology of the lateral visual system: The fundus of the superior temporal sulcus and parietal area H connect nonvisual cerebrum to the lateral occipital lobe

Mapping the topology of the visual system is critical for understanding how complex cognitive processes like reading can occur. We aim to describe the connectivity of the visual system to understand how the cerebrum accesses visual information in the lateral occipital lobe. Using meta-analytic software focused on task-based functional MRI studies, an activation likelihood estimation (ALE) of the visual network was created. Regions of interest corresponding to the cortical parcellation scheme previously published under the Human Connectome Project were co-registered onto the ALE to identify the hub-like regions of the visual network. Diffusion Spectrum Imaging-based fiber tractography was performed to determine the structural connectivity of these regions with extraoccipital cortices. The fundus of the superior temporal sulcus (FST) and parietal area H (PH) were identified as hub-like regions for the visual network. FST and PH demonstrated several areas of coactivation beyond the occipital lobe and visual network. Furthermore, these parcellations were highly interconnected with other cortical regions throughout extraoccipital cortices related to their nonvisual functional roles. A cortical model demonstrating connections to these hub-like areas was created. FST and PH are two hub-like areas that demonstrate extensive functional coactivation and structural connections to nonvisual cerebrum. Their structural interconnectedness with language cortices along with the abnormal activation of areas commonly located in the temporo-occipital region in dyslexic individuals suggests possible important roles of FST and PH in the integration of information related to language and reading. Future studies should refine our model by examining the functional roles of these hub areas and their clinical significance.

Improving non-native duration contrast with dichotic training in dyslexic and non-dyslexic individuals.

Perceiving and producing English phonemic vowel length contrasts is challenging for non-native speakers. According to multi-time resolution models, endogenous slow/fast rhythms contribute, respectively, in the right/left hemispheres, to long/short acoustic cue processing. This study introduced a perceptual training method implementing dichotic stimulation to improve /i:/-/ɪ/ processing by promoting hemispheric complementarity. Twenty non-dyslexic and 20 dyslexic French adults received 1 hr-training over 3 days. Productions were evaluated with pre-/post-tests. Training enhanced vowel duration contrast in word production by /i:/ lengthening and /ɪ/ shortening in both groups. Adults with dyslexia compensated fewer /i:/ lengthening by /ɪ/ shortening than did non-dyslexic adults. Transfer from perceptual training to production seems possible for foreign-language learning even in dyslexic adults. The extent to which dichotic presentation contributed to training effectiveness cannot be evaluated here, but the triggering of lengthening and shortening mechanisms suggests that lateralized complementary skills have been enhanced by dichotic stimulation.

Developing an Image-Based Dyslexia Detection Model Using the Deep Learning Technique

Dyslexia is a neurological disorder. Across the globe, children are primarily affected by dyslexia. Deep learning (DL) approaches have been applied in dyslexia detection (DD). However, these approaches demand substantial computational resources to generate a meaningful outcome. In addition, healthcare centers face challenges in interpreting the DL-based DD models. Thus, this study aimed to build an effective DD model to support physicians in detecting dyslexic individuals using functional magnetic resonance imaging (FMRI). The authors applied extensive image preprocessing techniques to overcome the FMRI image complexities. They built a convolutional neural network model for extracting the key features from the FMRI images using the weights of the ShuffleNet V2 model. Random forest is ensembled to classify the extracted features. The authors evaluated the proposed model using a real-time dataset comprising 606 multidimensional FMRI images. The findings revealed that the recommended DD model outperformed the existing DD models. The proposed DD model achieved an accuracy of 98.9 and an F1-Score of 99.0. In addition, the proposed model generated an outcome with a minimum loss of 1.2, a standard deviation of 0.0002, and a confidence interval range between 98.2 and 98.7. The experimental outcome supported the effectiveness of the proposed model in detecting dyslexic individuals with few computational resources. The proposed model can be extended using graph convolutional networks for classifying complex images with optimal prediction accuracy.

Exploring pattern recognition: what is the relationship between the recognition of words, faces and other objects?

Debate surrounds processes of visual recognition, with no consensus as to whether recognition of distinct object categories (faces, bodies, cars, and words) is domain specific or subserved by domain-general visual recognition mechanisms. Here, we investigated correlations between the performance of 74 participants on recognition tasks for words, faces and other object categories. Participants completed a counter-balanced test battery of the Cambridge Face, Car and Body Parts Memory tests, as well as a standard four category lexical decision task, with response time and recognition accuracy as dependent variables. Results revealed significant correlations across domains for both recognition accuracy and response time, providing some support for domain-general pattern recognition. Further exploration of the data using principal component analysis (PCA) revealed a two-component model for both the response time and accuracy data. However, how the various word and object recognition tasks fitted these components varied considerably but did hint at familiarity/expertise as a common factor. In sum, we argue a complex relationship exists between domain-specific processing and domain-general processing, but that this is shaped by expertise. To further our understanding of pattern recognition, research investigating the recognition of words, faces and other objects in dyslexic individuals is recommended, as is research exploiting neuroimaging methodologies, with excellent temporal resolution, to chart the temporal specifics of different forms of visual pattern recognition.

Integration of visual motion and orientation signals in dyslexic children: an equivalent noise approach.

Dyslexic individuals have been reported to have reduced global motion sensitivity, which could be attributed to various causes including atypical magnocellular or dorsal stream function, impaired spatial integration, increased internal noise and/or reduced external noise exclusion. Here, we applied an equivalent noise experimental paradigm alongside a traditional motion-coherence task to determine what limits global motion processing in dyslexia. We also presented static analogues of the motion tasks (orientation tasks) to investigate whether perceptual differences in dyslexia were restricted to motion processing. We compared the performance of 48 dyslexic and 48 typically developing children aged 8 to 14 years in these tasks and used equivalent noise modelling to estimate levels of internal noise (the precision associated with estimating each element's direction/orientation) and sampling (the effective number of samples integrated to judge the overall direction/orientation). While group differences were subtle, dyslexic children had significantly higher internal noise estimates for motion discrimination, and higher orientation-coherence thresholds, than typical children. Thus, while perceptual differences in dyslexia do not appear to be restricted to motion tasks, motion and orientation processing seem to be affected differently. The pattern of results also differs from that previously reported in autistic children, suggesting perceptual processing differences are condition-specific.

Atypical delta-band phase consistency and atypical preferred phase in children with dyslexia during neural entrainment to rhythmic audio-visual speech

According to the sensory-neural Temporal Sampling theory of developmental dyslexia, neural sampling of auditory information at slow rates (<10 Hz, related to speech rhythm) is atypical in dyslexic individuals, particularly in the delta band (0.5–4 Hz). Here we examine the underlying neural mechanisms related to atypical sampling using a simple repetitive speech paradigm. Fifty-one children (21 control children [15M, 6F] and 30 children with dyslexia [16M, 14F]) aged 9 years with or without developmental dyslexia watched and listened as a ‘talking head’ repeated the syllable “ba” every 500 ms, while EEG was recorded. Occasionally a syllable was “out of time”, with a temporal delay calibrated individually and adaptively for each child so that it was detected around 79.4% of the time by a button press. Phase consistency in the delta (rate of stimulus delivery), theta (speech-related) and alpha (control) bands was evaluated for each child and each group. Significant phase consistency was found for both groups in the delta and theta bands, demonstrating neural entrainment, but not the alpha band. However, the children with dyslexia showed a different preferred phase and significantly reduced phase consistency compared to control children, in the delta band only. Analysis of pre- and post-stimulus angular velocity of group preferred phases revealed that the children in the dyslexic group showed an atypical response in the delta band only. The delta-band pre-stimulus angular velocity (−130 ms to 0 ms) for the dyslexic group appeared to be significantly faster compared to the control group. It is concluded that neural responding to simple beat-based stimuli may provide a unique neural marker of developmental dyslexia. The automatic nature of this neural response may enable new tools for diagnosis, as well as opening new avenues for remediation.

Neurodiversity and Opportunities in Psychiatry

Neurodiversity and Opportunities in Psychiatry

Evidence from ERP and Eye Movements as Markers of Language Dysfunction in Dyslexia

Developmental dyslexia is a complex reading disorder involving genetic and environmental factors. After more than a century of research, its etiology remains debated. Two hypotheses are often put forward by scholars to account for the causes of dyslexia. The most common one, the linguistic hypothesis, postulates that dyslexia is due to poor phonological awareness. The alternative hypothesis considers that dyslexia is caused by visual-attentional deficits and abnormal eye movement patterns. This article reviews a series of selected event-related brain potential (ERP) and eye movement studies on the reading ability of dyslexic individuals to provide an informed state of knowledge on the etiology of dyslexia. Our purpose is to show that the two abovementioned hypotheses are not necessarily mutually exclusive, and that dyslexia should rather be considered as a multifactorial deficit.