Attention Disorders Research Articles

Modulation of neuronal activity in human centromedian nucleus during an auditory attention and working memory task

Centromedian nucleus (CM) is one of several intralaminar nuclei of the thalamus and is thought to be involved in consciousness, arousal, and attention. CM has been suggested to play a key role in the control of attention, by regulating the flow of information to different brain regions such as the ascending reticular system, basal ganglia, and cortex. While the neurophysiology of attention in visual and auditory systems has been studied in animal models, combined single unit and LFP recordings in human have not, to our knowledge, been reported. Here, we recorded neuronal activity in the CM nucleus in 11 patients prior to insertion of deep brain stimulation electrodes for the treatment of epilepsy while subjects performed an auditory attention task. Patients were requested to attend and count the infrequent (p = 0.2) odd or "deviant" tones, ignore the frequent standard tones and report the total number of deviant tones at trial completion. Spikes were discriminated, and LFPs were band pass filtered (5–45 Hz). Average peri‑stimulus time histograms and spectra were constructed by aligning on tone onsets and statistically compared. The firing rate of CM neurons showed selective, multi-phasic responses to deviant tones in 81% of the tested neurons. Local field potential analysis showed selective beta and low gamma (13–45 Hz) modulations in response to deviant tones, also in a multi-phasic pattern. The current study demonstrates that CM neurons are under top-down control and participate in the selective processing during auditory attention and working memory. These results, taken together, implicate the CM in selective auditory attention and working memory and support a role of beta and low gamma oscillatory activity in cognitive processes. It also has potential implications for DBS therapy for epilepsy and non-motor symptoms of PD, such as apathy and other disorders of attention.

Humanisation and health needs in children: present or future?

For a few years, teledentistry has been an emerging innovative strategy with potential in the field of paediatric dentistry. There are still few studies in this regard, so further research is needed to verify and ensure that teledentistry is not only an accessible mode of communication, but above all effective and evidence-based. This study aimed to use a preliminary telematic approach to promote the compliance of patients in the developmental age during the first dental visit. Two hundred patients were selected according to the eligibility criteria, and distributed in two groups: a study group with the preliminary telematic approach (ATP) before the first visit and a control group with traditional first visit without ATP. Through an ordinal semi-proportional regression model, the degrees of collaboration between the study and control groups were compared, correcting the estimate for age groups, the presence of systemic pathologies, disorders of cognition, attention and learning, degree of anxiety and previous medical-dental experiences. The preliminary telematic approach could be useful as a support to the traditional paediatric dental visit, to promote better management and fidelity of the patient, reducing anxiety and increasing collaboration during the first visit.

Distinct attentional and executive profiles in neurofibromatosis type 1: Is there difference with primary attention deficit-hyperactivity disorder?

PurposeAttentional and executive dysfunctions are the most frequent cognitive disorders in neurofibromatosis type 1 (NF1), with a high prevalence of attention deficit-hyperactivity disorder (ADHD). We (i) compared attentional profiles between NF1 children with and without ADHD and children with primary ADHD criteria and (ii) investigated the possible relationship between attentional disorders and “unidentified bright objects” (UBOs) in NF1. MethodsThis retrospective study included 47 NF1 children, 25 with ADHD criteria (NF1+adhd group), matched for age, sex, and cognitive level with 47 children with primary ADHD (ADHD group). We collected computer task (sustained-attention, visuomotor-decision, inhibition, and cognitive-flexibility tasks) scores normalized for age and sex, and brain magnetic resonance imaging data. Results(i) Working memory was impaired in all groups. (ii) Omissions (p < 0.002) and response-time variability (p < 0.05) in sustained-attention and visuomotor-decision tasks and errors (p < 0.02) in the cognitive-flexibility task were lower for the NFI+adhd and ADHD groups than for the NF1-no-adhd group. (iii) The NF1+adhd group had slower response times (p ≤ 0.02) for inhibition and visuomotor-decision tasks than the other groups. (iv) We found no relevant association between cognitive performance and UBOs. ConclusionsNF1 children with ADHD have an attentional and executive functions deficit profile similar to that of children with primary ADHD, but with a slower response-time, increasing learning difficulties. The atypical connectivity of fronto-striatal pathways, poorer dopamine homeostasis, and increased GABA inhibition observed in NF1 renders vulnerable the development of the widely distributed neural networks that support attentional, working-memory, and executive functions.

Identifying Autism Gaze Patterns in Five-Second Data Records.

One of the most challenging problems when diagnosing autism spectrum disorder (ASD) is the need for long sets of data. Collecting data during such long periods is challenging, particularly when dealing with children. This challenge motivates the investigation of possible classifiers of ASD that do not need such long data sets. In this paper, we use eye-tracking data sets covering only 5 s and introduce one metric able to distinguish between ASD and typically developed (TD) gaze patterns based on such short time-series and compare it with two benchmarks, one using the traditional eye-tracking metrics and one state-of-the-art AI classifier. Although the data can only track possible disorders in visual attention and our approach is not a substitute to medical diagnosis, we find that our newly introduced metric can achieve an accuracy of 93% in classifying eye gaze trajectories from children with ASD surpassing both benchmarks while needing fewer data. The classification accuracy of our method, using a 5 s data series, performs better than the standard metrics in eye-tracking and is at the level of the best AI benchmarks, even when these are trained with longer time series. We also discuss the advantages and limitations of our method in comparison with the state of the art: besides needing a low amount of data, this method is a simple, understandable, and straightforward criterion to apply, which often contrasts with "black box" AI methods.

Formation of cognitive processes in children with autism. Part II. Genetic mechanisms

Autism and autism spectrum disorders are neuropsychiatric diseases that begin to appear in children under 3 years. Over the past decade, the number of children with autism spectrum disorders has increased more than in 10-fold and continues to grow, accounting for 1–2% of the world’s population. Currently, the diagnosis of autism spectrum disorders is based only on clinical and behavioral tests, and there are no biological and genetic markers that could contribute to the early detection of this disorder. The review, based on the analysis of modern literature data about symptoms, genetic etiological factors that associated with autism, examines the possibility of using genes as diagnostic biomarkers in children with autism spectrum disorders. Analysis of literature data shows that disorders of attention, speed of information processing, working memory, learning are based on genetic (mutations, SNPs) and epigenetic (methylation) changes in the expression of many genes: BDNF, CAPS2, CNTNAP2, GABRB3, FMR1, FOXP1, GTF2I, HSD11B2, MECP2, NF2, NGF, NR3C1, OXTR, PAK2, RELN, SLC6A4, UBE3A, etc. Some of these genes (RELN) are associated with ASD severity.

Pemberdayaan Orangtua dan Guru dalam Meningkatkan Atensi Anak Autis Spectrume Disorder di Sekolah Autis Mitra Ananda Padang

Developmental disorders of joint attention or attention are the main characteristics of children with autism spectrum disorder (ASD). Therefore, it is essential to develop these skills in early intervention efforts. Empowering parents and teachers is essential for success in increasing the attention of children with ASD; parents and teachers play an essential role in programs for treating children with ASD. This service explores techniques for empowering parents and teachers to increase attention to children with ASD. Establishing communication and cooperation between parents and teachers is carried out by the management of the Ananda Padang Autistic Partner School. The methods used in this community service activity include lecture, question and answer, discussion, and practice methods. The aim is to provide education to increase the understanding of parents and teachers in increasing the attention of children with ASD. The activity was carried out from 13 and 14 October 2023 with nine parents and nine teachers. There was an increase in scores on the post-test after clients were given education about increasing attention in children with ASD, namely from an average of 2.78 to 4.80. Parents and teachers also felt satisfied with the activities carried out, with an average score for material quality of 6.05, media of 5.60, and benefits of activities of 5.20. The output of this activity is an increase in the knowledge of parents and teachers after receiving education, namely an increase in the average post-test score. The activity info link can be seen at https://forumsumbar.com/berita/38383/tim-pkm-mercubaktijaya-berdayakanorangtua-and-teachers-in-improving-children's-attention-asd/

Brain on Fire: How Brain Infection and Neuroinflammation Drive Worldwide Epilepsy Burden

Roughly 80% of the global burden of epilepsy resides in low- and middle-income countries (LMICs; WHO, 2022). Despite numerous new therapies for the treatment of epilepsy, the number of patients who remain resistant to available medications is unchanged. Additionally, no therapy has yet been clinically proven to prevent or attenuate the development of epilepsy in at-risk individuals. Unfortunately, access to next generation therapies in LMICs is low, the stigma associated with epilepsy remains high, and access to adequate resources is unchanged. Thus, the global epilepsy burden disproportionately falls on LMICs such that strategies to conscientiously integrate global epilepsy risk factors into preclinical research may meaningfully advance 21st century epilepsy therapies. Brain infections are one of the main risk factors for epilepsy in resource-poor settings. Further, both infection- and autoimmune-associated encephalitis contribute to worldwide epilepsy risk and remain relatively understudied. For example, clinical SARS CoV-2 infection can induce rare instances of encephalopathy and acute seizures. Among viruses known to cause acute brain infection, enteroviruses increase risk for encephalitis-induced epilepsy, but are not associated with risk for other neurodevelopmental disorders (eg, autism spectrum or attentional deficit hyperactivity disorders). Naturally occurring models of viral infection-induced epilepsy therefore provide an exquisite opportunity to uncover novel contributors to epileptogenesis. Moreover, the convergent neuroinflammatory pathways that are associated with viral infection-induced encephalitis and autoimmune encephalitis reflect an untapped therapeutic opportunity to meaningfully reduce the global burden of epilepsy. This review summarizes the latest advances in translational research integrating encephalitis-induced seizure and epilepsy models, in tandem with progress in clinical diagnosis of inflammation and virally mediated epilepsy. This improved awareness of the shared biological underpinnings of epileptogenesis following brain infection or autoimmune encephalitis is anticipated to beneficially impact the global burden of epilepsy.

Sleep Quality and Attentional Function in Adolescent Gamers Aged 13-14 Years in Makassar

The prevalence of adolescents who spend &gt;5 hours per day playing games has a higher risk of developing sleep disorders. Gaming addiction can cause sleep deprivation and the inability to concentrate, which can lead to attention disorders and impulsive behavior. This study is an analytical observational study with a cross-sectional design that aims to determine the relationship of sleep quality in adolescent gamers to impaired attentional function at SMP Negeri 30 Makassar which was conducted in January 2023. The total subject in the study was 64 people. Most of the subject had a duration of playing games of 3-6 hours per day, which totaled 35 (54,6%) people. Gamers who have abnormal sleep quality are 43 (67,2%). We found that the longer duration of gaming caused the sleep quality to decrease (p-value=0,032). There was a significant relationship between the Pittsburgh Sleep Quality Index (PSQI) score with the visual attention test score (p-value=0,001) and the digit span word test score (p-value=0,006). This study concludes that poor sleep quality is associated with impaired attentional function in the accuracy and reaction domain and impaired attentional function in the working memory domain.

Accelerated decline in motor suppression in patients with cerebrovascular disorders: A kinetic analysis using the square-tracing task.

Patients with cerebrovascular disorders (CVDs) tend to exhibit impulsive behaviour without controlling their movements, leading to difficulty in performing activities of daily living and an increased risk of accidents. This hastiness, termed 'pacing impairment', has been studied but is not fully understood. To experimentally examine the kinetic features of pacing impairment by focusing on changes in speed and investigating neuropsychological substrates. We instructed 53 inpatients with CVDs, 20 orthopaedic inpatients, and 20 healthy participants to trace a 200 mm-sided square as slowly as possible for 120 seconds. We measured the tracing length and mean acceleration and examined the relationship between these measurements, neuropsychological symptoms, and lesion sites. Gradual acceleration in drawing, i.e., decline in motor suppression, was observed more frequently in the CVD group than in the control groups. Excessive acceleration was associated with unilateral spatial neglect, frontal lobe signs, and attention disorders but not with motor impersistence. Additionally, the incidence of excessive acceleration did not differ between left and right hemisphere lesion subgroups and was not associated with any specific lesion site. Pacing impairment can manifest as general or holistic deficits in attentional function widely distributed throughout the cerebral hemispheres.

The Impact of LRRK2 G2019S on Parkinson's Disease: Clinical Phenotype and Treatment in Tunisian Patients.

LRRK2-G2019S is the most frequent mutation in North African Parkinson's disease (PD) patients. Data on its impact on disease progression and treatment response remain elusive. Therefore, we investigated the clinical features, treatments, and complications of PD in Tunisian patients according to their LRRK2-G2019S profile. This longitudinal retrospective study was performed in the Department of Neurology, Razi University Hospital. We included clinically diagnosed PD patients according to the Movement Disorders Society criteria and reviewed their medical records for clinical, treatment, and neuropsychological assessments. All patients were screened for the LRRK2-G2019S mutation using Sanger sequencing. The correlation between LRRK2-G2019S and clinical PD features was evaluated. We included 393 PD patients, 41.5% of whom had LRRK2-G2019S mutations. Patients with mutations were younger (p = 0.017), and female PD patients had a greater mutation frequency (p = 0.008). Mutation carriers exhibited distinct clinical features, with a greater frequency of postural instability gait difficulty forms (adjusted-p < 0.001). During disease progression, carriers showed a faster annual progression in the Unified Parkinson's Disease Rating Scale Section III scores (adjusted-p = 0.009), and significantly higher levodopa equivalent dose values in later stages (1060.81 vs. 877.83 for 6-8 years). Motor complications, such as dyskinesia (adjusted-p < 0.001) and motor fluctuations (31.9% vs. 25.7%, adjusted-p < 0.001), were more prevalent in carriers, particularly in the later stages. LRRK2-G2019S carriers also exhibited a lower prevalence of non-motor symptoms, including episodic memory (adjusted-p < 0.001), attention (adjusted-p < 0.001), and dysexecutive disorders (adjusted-p = 0.038), as well as neuropsychiatric symptoms and dysautonomic signs. The present study demonstrated that the variability of the clinical profile among Tunisian PD patients was explained by the incomplete penetrance of LRRK2-G2019S, which increased with age. Further studies using biomarker and disease progression data are necessary to improve PD management.

Identifying Risk Factors for Attention-Deficit/Hyperactivity Disorder (ADHD): a Public Health Concern and Opportunity.

Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders with significant individual and societal negative impacts of the disorder continuing into adulthood (Danielson et al. inJournal of Clinical Child and Adolescent Psychology, in press; Landes and London in Journal of Attention Disorders 25:3-13, 2021). Genetic and environmental risk (e.g., modifiable exposures such as prenatal tobacco exposure and child maltreatment) for ADHD is likely multifactorial (Faraone et al. in Neuroscience & Biobehavioral Reviews 128:789-818, 2021). However, the evidence for potentially modifiable contextual risks is spread across studies with different methodologies and ADHD criteria limiting understanding of the relationship between early risk factors and later childhood ADHD. Using common methodology across six meta-analyses (Bitsko et al. in Prevention Science, 2022; Claussen et al. in Prevention Science 1-23,2022; Dimitrov et al. in Prevention Science, 2023; Maher et al. in Prevention Science, 2023; Robinson, Bitskoet al. in Prevention Science, 2022; So et al. in Prevention Science, 2022) examining 59 risk factors for childhood ADHD, the papers in this special issue use a public health approach to address prior gaps in the literature. This introductory paper provides examples of comprehensive public health approaches focusing on policy, systems, and environmental changes across socio-ecological contexts to improve health and wellbeing through prevention, early intervention, and support across development using findings from these meta-analyses. Together, the findings from these studies and a commentary by an author independent from the risk studies have the potential to minimize risk conditions, prioritize prevention efforts, and improve the long-term health and wellbeing of children and adults with ADHD.

Cartoons: Source of Construction or Destruction?

The current study deals with the ramifications of cartoons on children's behavior, burgeoning, personality development, and learning processes. The focus was on the role of cartoons in the development of constructive or destructive cognition and behavioral changes. The study was conducted in Multan- a developing city in Pakistan- by using a mixed approach. Data has been analyzed in an explanatory style. A sample of 105 respondents including children from ages 5-16 years and their mothers were selected through purposive sampling. Data was collected by observation and structured interviews as well as probing and prompting techniques. Study reveals that boys were much affected by cartoons having violent and technological stuff while girls led in understanding themes. On one side they enhance Cognition, knowledge, thinking, and criticizing capability and social behavior; on the other, it affect their behavior, creativity, attention disorder, sensitivity, exhilaration preference, confidence, and choices of leisure time activity.

Impact of quarantine on the experience and management of children with learning disabilities or attention deficit disorders with or without hyperactivity: A retrospective observational study

BackgroundDuring the COVID-19 pandemic, France faced a 2-month lockdown in 2020, marked by numerous restrictions. This study aimed to examine the experience and management of children aged 6–17 years with learning and/or attention disorders during the first lockdown. MethodsWe conducted an observational, retrospective study, with data collection from March 1 to May 31, 2021, by means of an anonymous digital qualitative questionnaire completed by parents. The experience of confinement as well as the children's behavior, schooling, and level of progress during rehabilitation were assessed by parents through a Likert scale. Data were compared according to two groups: negative experience and positive or neutral experience of the child's confinement. ResultsA total of 251 questionnaires were collected and 217 were analyzed. Overall, 47 children (21.7 %) reported a negative experience of the confinement period. In total, 164 (75.6 %) of the children had their schooling monitored throughout the period; half of the parents reported a course format unsuited to their child's disorders and a lack of motivation, and 46.5 % a refusal by their child to study. Only 16.8 % of parents reported a regression in their child's rehabilitation. These last three results were significantly associated with a poor experience of confinement (p < 0.05). ConclusionThe period of confinement was experienced relatively well by the children, and the rehabilitative management seemed to have been minimally impacted during this period. The therapeutic education of children, their parents, and also teachers is a major axis of improvement for better care and support of children with these disorders.

Features of neurocognitive and psychoemotional disorders in young patients with arterial hypertension

The article presents the results of the study of cognitive functions and the psychoemotional state of young patients with arterial hypertension. In total, 91 patients between the ages of 25 and 44, as well as 30 clinically healthy individuals of the appropriate age and article, were involved in the study. All studied patients were divided into two groups depending on the presence of neurocognitive disorders. The condition was assessed using international standardized scales and tests. The study showed that people with AH had mild disorders of verbal memory, counting operations and disorientation, which was manifested by incorrect naming of the date. It was characterized by the presence of disorders of voluntary attention from minor, initial manifestations, which, first of all, was manifested by fatigue, to violations of a mild-moderate degree in the form of narrowing of volumes and insufficiency of the processes of concentration, distribution and switching. The psychoemotional state of young patients with hypertension was characterized by the presence of mild depressive disorders. For patients with neurocognitive disorders against the background of hypertension, the presence of moderate reactive and personal anxiety was characteristic. Key words: arterial hypertension, neurocognitive disorders, anxiety, depression

Dampak Psikologis Penggunaan Gadget Berlebihan pada Anak

Excessive use of gadgets in children has become a major concern in health and education literature. This paper investigates the psychological impacts that arise from excessive exposure to digital technology during children's development. Through a review of the latest research, the authors present findings that indicate a correlation between excessive gadget use and negative impacts on children's psychological well-being, including mental health problems, decreased social abilities, and attention disorders. Practical implications and preventative suggestions are also presented to help parents and educators manage children's gadget use wisely. By understanding the possible psychological impact, this paper provides a comprehensive view of the role of technology in children's development, emphasizing the importance of a balanced and forward-looking approach to gadget use at critical developmental stages.

CLASSIFICATION OF COGNITIVE STRESS AS A PSYCHOLOGICAL INDICATOR THROUGH MACHINE LEARNING

In this study, we explored the potential of Support Vector Machine (SVM) method for classifying levels of cognitive stress using EEG (Electroencephalogram) signals. The goal is to develop accurate models that would enable the prediction and understanding of not only the current mental state of the subjects, but also potential real-time interventions. In medical fields, the application can be seen in the treatment of attention, focus, hyperactivity, autism, and depression disorders. Additionally, there is an extremely high potential for application in areas such as psychology, sociology, education, economics, neuromarketing, security, and in enhancing workplace stress management, anxiety treatment, digital marketing, economicfinancial forensics, as well as improving user experience in virtual environments and video games. The results have shown that it is possible to differentiate high and low levels of cognitive stress with satisfactory accuracy, opening the way for the application of these findings in various fields. Cognitive stress represents one of the fundamental cognitive processes that causes individuals to behave and think differently in certain situations than in their usual state of consciousness. Predicting, analyzing, and understanding the level of cognitive stress from EEG signals is of great importance in various fields, including neuroscience, psychology, education, professional sports, human-computer interaction, and many other areas. Machine learning represents a subgroup of artificial intelligence that uses statistical models, and functions to ‘learn’ and ‘train’ data resulting in corresponding output values. The brain-computer interface, through which data on cognitive stress, among other parameters and psychological categories, is collected, is based on the functioning of EEG devices. The prediction of cognitive stress represents the application of machine learning, recording and using brain EEG signals or extracted characteristics from EEG signals as input values, in order to predict the level of output values of cognitive stress, of high or low degree, reflecting the mental state of the subjects in real time

Formation of cognitive processes in children with autism. Part I. Epigenetic mechanisms

Autism and autism spectrum disorders are neuropsychiatric diseases that begin to appear in children under 3 years. Over the past decade, the number of children with autism spectrum disorders has increased more than in 10-fold and continues to grow, accounting for 1–2 % of the world’s population. Currently, the diagnosis of autism spectrum disorders is based only on clinical and behavioral tests, and there are no biological and genetic markers that could contribute to the early detection of this disorder. The review, based on the analysis of modern literature data about epigenetic mechanisms which associated with autism, examines the influence of the DNA methylation profile in the formation of cognitive impairment and the possibility of using genes and their methylation status as diagnostic biomarkers in children with autism spectrum disorders. Literature data analysis shows that disorders of attention, speed of information processing, working memory, learning are based on genetic and epigenetic (methylation) changes in the expression of many genes: BDNF, CAPS2, CNTNAP2, GABRB3, FMR1, FOXP1, GTF2I, HSD11B2, MECP2, NF2, NGF, NR3C1, OXTR, PAK2, RELN, SLC6A4, UBE3A, etc. Most of these genes undergo hypermethylation, reducing the expression of its proteins, which impairs the development and formation of the nervous system in autism. In contrast, other genes are associated with methylation and oxidative stress are hypomethylated in autism spectrum disorders. Assessing the expression levels and methylation status of these genes can serve as genetic and epigenetic biomarkers for the differentiation and diagnosis of clinical symptoms, autism spectrum disorders severity, and facilitate the development of new treatments and rehabilitation procedures.

Valutare la qualità e l'apprendimento della didattica a distanza: Il caso dell'Università di Pisa

This contribution illustrates the results of the evaluation on distance learn- ing commissioned by the University of Pisa during the period of the pan- demic emergency. Educational and training institutions underwent a "para- digmatic shift" through the mandatory digitalization of the educational offer, characterized, given the available time frame, as a learning-by-doing pro- cess. Students, on the other hand, had to rethink their daily lives, redefining the ways in which they carried out their work, study, research, and personal activities. The University of Pisa commissioned an evaluation to the Human Foun- dation that could provide an initial assessment to be read from an evidence- based perspective, in order to understand if, how, and where to make neces- sary improvements to the already efficient and effective teaching and learn- ing methods adopted during the emergency phase. The commissioned evaluation activity focused on the following dimen- sions: attendance in classes; increased participation of specific targets (stu- dents with disabilities, with specific attention disorders, working students, other vulnerable categories); quality of learning; difficulties encountered in accessing education; strengths and weaknesses of distance learning; the abil- ity of distance learning to impact the reconciliation with personal/family needs.

Features of Mental Disorders in Right- and Left-Hemisphere Localization of Stroke on the Background of Motor Rehabilitation: Comparative Study

INTRODUCTION. In post-stroke patients have a high incidence of cognitive and emotional pathology, it is very important to take into account the particular features of mental state in order to achieve significant results of rehabilitation. The data on brain asymmetry indicate a certain lateralization of some mental functions (speech, emotional and cognitive functions).&#x0D; AIM. To study cognitive, emotional disorders and quality of life in patients with ischemic stroke depending on the localization of the lesion in the right or left cerebral hemisphere and their dynamics on the background of motor rehabilitation.&#x0D; MATERIALS AND METHODS. 39 patients with localization of an ischemic focus in the middle cerebral artery territory (group 1 (n = 19) — right hemisphere, and group 2 (n = 20) — left hemisphere) in the recovery period after an ischemic stroke, underwent an inpatient course of motor rehabilitation. Conditions of the patients were assessed at the beginning and at the end of hospitalization using the 6-point muscular strength scale, the modified Ashfort scale, a TUG test, the FIM and Berg balance scales, MMSE, MoCA, the Schulte Table methods, he Beck Depression Inventory, the State-Trait Anxiety Inventory (Spielberger-Khanin) and the Quality of Life at stroke.&#x0D; RESULTS. Attention disorders were found in patients of groups 1 and 2 in 84.6 and 75 %, respectively. Emotional disorders were diagnosed in almost half of post-stroke patients, anxiety disorders prevailed over depressive ones. In group 2 patients scoring ≤ 23 points on the MMSE were found 5 times more frequently. In group 1 depression was 4 times more frequent. However, the obtained intergroup differences were not statistically significant. At the end of the rehabilitation, both groups demonstrated a significant decrease in the level of trait anxiety, and in group 1 an increase in the attentional stability.&#x0D; DISCUSSION. The observed prevalence of more severe cognitive impairments in the LMCA group and emotional impairments in the RMCA group are consistent with the data on brain asymmetry.&#x0D; CONCLUSION. Motor rehabilitation has a positive effect on the emotional state of patients after a stroke, and insignificantly on their cognitive functions, which, along with a high incidence of cognitive impairments, necessitates consideration of the transition from motor to cognitive-motor rehabilitation in order to improve the effectiveness of the treatment.

Развитие когнитивных функций детей с помощью методик, использующих видеоокулографию

&lt;p style="text-align: justify;"&gt;The active development of eye-tracking, that is, recording of eye movements, gives opportunities for the creation of new approaches to the improving of cognitive functions and learning. Eye-tracking based methods can be useful not only for children with impaired motor and speech functions, but also for children with attention disorders, since gaze control is closely related to attention. Feedback from the gaze accuracy can improve the effectiveness of attention training techniques. In this paper, we describe studies of the effectiveness of the use of correctional techniques based on eye-tracking in infants (healthy group and groups with various risks for cognitive impairment) and in children with developmental disorders (autism, Rett syndrome, attention deficit hyperactivity disorder). In almost all of the studies reviewed, positive effects of training were observed, i. e. both the productivity of the tasks performance and sustained attention were improved. A number of studies have revealed the transfer of the training effect to untrained functions, which is an important indicator of the effectiveness of correction techniques. All this indicates the perspective of development in this direction. However, much work is to be done, such as selecting and creating the most effective tasks, determining the optimal frequency and duration of training for different clinical groups.&lt;/p&gt;