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Diffusion Tensor Imaging

Abstract The chess game comprises different domains of cognitive function, demands great concentration and attention and is present in many cultures as an instrument of literacy, learning and entertainment. Over the years, many effects of the game on the brain have been studied. Seen that, we reviewed the current literature to analyze the influence of chess on cognitive performance, decision-making process, linking to historical neurological and psychiatric disorders as we describe different diseases related to renowned chess players throughout history, discussing the influences of chess on the brain and behavior.

Appendices

We used eye-tracking to evaluate multiple facial context processing and event-related potential (ERP) to evaluate multiple facial recognition in individuals at clinical high risk (CHR) for psychosis. In total, 173 subjects (83 CHRs and 90 healthy controls [HCs]) were included and their emotion perception performances were accessed. A total of 40 CHRs and 40 well-matched HCs completed an eye-tracking task where they viewed pictures depicting a person in the foreground, presented as context-free, context-compatible, and context-incompatible. During the two-year follow-up, 26 CHRs developed psychosis, including 17 individuals who developed first-episode schizophrenia (FES). Eighteen well-matched HCs were made to complete the face number detection ERP task with image stimuli of one, two, or three faces. Compared to the HC group, the CHR group showed reduced visual attention to contextual processing when viewing multiple faces. With the increasing complexity of contextual faces, the differences in eye-tracking characteristics also increased. In the ERP task, the N170 amplitude decreased with a higher face number in FES patients, while it increased with a higher face number in HCs. Individuals in the very early phase of psychosis showed facial processing deficits with supporting evidence of different scan paths during context processing and disruption of N170 during multiple facial recognition.

Frequency of species according to the distance to the center of the archaeological settlements.

Structural MRI

Tools and services evaluation speadsheet

Data contain behavioral ratings of every single presented image regarding inconsistency, as well as preprocessed ERP data in three different time windows, averaged for each image-category.

Our dataset is focused on automatic voice recognition for the purpose of diagnosing language disorders; hence, our dataset consists of written documents. As a whole, our study dataset comprises of inquiries, assertive speech, and responses to all three. Young children are being asked these questions and taught these stories. Our focus is on children aged 0 to 6 years. We have polled numerous children within this age range with the permission of their families, including infants from our own family, extended family, neighbors, non-governmental organizations (NGOs) in Bangladesh who work with children, hospitals, and many more. The surveys focused mostly on eliciting responses from the children, whether via direct questioning or age-appropriate aggressive language. Any action or expression of approval in response to the question or statement counts as an answer. Children of varying ages reach several stages in their development of language. A baby who is 7-12 months old may utilize babbling consonant-vowel combinations and consonant sounds; a baby who is 12-20 months old may use gestures, identify their own name, etc. Prior to the experiment, we required to do an analysis of the dataset. Age, Speech in Bangla, Speech Translated in English, Response in Bangla, Response Translated in English, and label are the 6 columns that make up our dataset. We gathered information from kids as young as one month old and as old as sixty (60) months old. In addition, we can see that the number of normal samples is about twice as large as the number of impaired samples (out of 252 total samples.