Undergraduate Students' Brain Activity in Visual and Textual Programming.

Eight computer science students, novice programmers, who were in the first semester of their studies, participated in a field study in order to explore potential differences in their brain activity during programming with a visual versus a textual programming language. The students were asked to develop two specific programs in both programming languages (a total of four tasks). Measurements of cerebral activity were performed by the electroencephalography (EEG) imaging method.

Cognitive Enhancement and Brain-Computer Interfaces: Potential Boundaries and Risks.

Electroencephalography (EEG) systems and brain-computer interfaces (BCIs) are terms frequently involved in the field of neurological research. Under a technological point of view, BCI is considered to be a significant achievement within the frame of learning disabilities rehabilitation. Nevertheless, the specifications for efficient use for cognitive enhancement and its potential boundaries are under concern.

Brain-Computer Interface Design and Neurofeedback Training in the Case of ADHD Rehabilitation.

Neurofeedback video games respond to electrical brain signals instead to a mouse, joystick, or game controller input. These games embody the concept of improving physiological functioning by rewarding specific healthy body signals with success at playing a video game. In this paper, a threefold framework in reference to attention deficit disorder (ADD) and attention deficit hyperactivity disorder (ADHD) treatment blending with neurofeedback techniques and video game implementation is presented.

Epidemics Fuzzy Decision-Making Applications and Fuzzy Genetic Algorithms Efficiency Enhancement.

Fuzzy logic is an innovative scientific field with several successful applications. Genetic algorithms and fuzzy logic systems fusion provide real-world problems modeling through the development of intelligent and adaptive systems. Moreover, the statistical analysis of the epidemiology of infectious diseases, which combines fuzzy logic aspects, is vital for perceiving their evolution and control potential.

Biomarkers as a Different Approach in Prevention and Treatment of Drug Addiction (Preliminary Study).

Unlabelled: Drug addiction is a chronic relapsing disorder and a burden to society and individuals. The toxicity induced by drugs related with addiction may trigger dysfunction and death of cells of the central nervous system. The study of alterations of proteins and biomarkers in buccal cells would be beneficial in understanding drug addiction, as the buccal mucosa is of ectodermal origin such as the central nervous system.

Brief Cognitive Tests in the Case of Dementia and Alzheimer's Disease Early Diagnosis.

Nowadays, Alzheimer's disease (AD) diagnosis is considered to be a crucial and extremely complex process. Nevertheless, psychometric tools, like Mini-Mental State Evaluation (MMSE), are used to address cognitive function assessment and clinical evaluation processes. However, MMSE's sensitivity in the diagnosis of mild cognitive impairment is debatable in terms of education, age, or nationality.

Cognitive Enhancement for Elderly Facing Dementia with the Use of Cognitive Rehabilitation Therapy Techniques and Psychological Treatment. A Case Study.

Psychological therapies in order to provide cognitive enhancement have gained some momentum the last decades. The goal of this case study was to evaluate the effects of a cognitive enhancement training program on daily living activities, cognition, and depression in a demented elderly participant. A 6-month training program was proposed for the participant, whose overall evaluation results suggest significant deficits impairment but whose response rate to the proposed tasks of the treatment was interestingly high.

EEG Analysis of the Neurofeedback Training Effect in Algorithmic Thinking.

Although significant advances have been made in understanding several cognitive states, the algorithmic thinking ability is yet to be analyzed in terms of neuroscience and brain imaging techniques. Studies on the effects of neurofeedback on learning disabilities especially mathematics disorders are limited. The objective of the present study is to evaluate the brain activity and activation differences between neurofeedback trained participants and controls, during the overall EEG analysis during continuous algorithmic tasks performance.

The Effectiveness of Neurofeedback Training in Algorithmic Thinking Skills Enhancement.

Although research on learning difficulties are overall in an advanced stage, studies related to algorithmic thinking difficulties are limited, since interest in this field has been recently raised. In this paper, an interactive evaluation screener enhanced with neurofeedback elements, referring to algorithmic tasks solving evaluation, is proposed. The effect of HCI, color, narration and neurofeedback elements effect was evaluated in the case of algorithmic tasks assessment.