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

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. METHOD: Buccal smears of 35 individuals with addictive disorders (20) or substance use disorders (15) for more than 3 years were collected by the gentle brushing of the inside of the cheeks. Immunocytochemical staining of IL-1ß, IL-6, TNF-α, NFKß, bcl-2, and ucp4 was performed on the epithelial cells, for the study of oxidative stress, toxicity, and inflammation. Papanicolaou staining was also performed for the potential structural disorders. There was a correlation with the clinical profile of each individual. None of the individuals was HIV or Tbc positive. RESULTS: Cytomorphology and immunoprofile of the smears of chronic relapsers and substance users for more than 3 years revealed karyolitic cells undergoing necrosis and increased expression of the markers IL-1ß, IL-6, TNF-α, and NFKß. Decreased expression of bcl2 was correlated with increased expression of ucp4. CONCLUSION: The literature in the area of addiction is growing rapidly; however, the results are still mixed. Given the complexity of the problem, the goal should be the discovery of a minimal invasive and inexpensive diagnostic procedure to identify a prognostic and therapeutic target. The correlation of the expression of biomarkers on buccal cells could be valuable for the design of predictive and therapeutic strategies.

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. Typical psychometric tools with the use of "paper and pencil" methods combined with physiology measurements are proposed in order to enhance validity and effectiveness in the case of Alzheimer's disease cognitive deficits. The objective of this review study is to highlight the effectiveness of brief cognitive tests (BCT) in the case of dementia and Alzheimer's disease screening. Authors' future work will focus on the application of BCT in MCI diagnosis and evaluation.

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. Author's objective is initially to provide a review of the efficiency of fuzzy logic applications. The advanced implementation of fuzzy logic theory in epidemiology and the application of fuzzy logic for controlling genetic algorithms within strategies based on the human experience and knowledge known as fuzzy logic controllers (FLCs) are analyzed. Outcomes of this review study show that not only can fuzzy sets be efficiently implemented in epidemiology but also prove the effectiveness of fuzzy genetic algorithms applications, thus suggesting that fuzzy logic applications are a really promising field of research.

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. In particular, the specifications of a neurofeedback-based video game for children dealing with ADHD, in order to enhance attention and concentration skills, are analyzed. Potential boundaries of this cognitive enhancement approach and authors future directions are also discussed.

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. Author's main objective is to discuss BCI concrete components and potential advances as well as depict potential limitations while using technological devices within the frame of the learning procedure. Within this context, requirements, advantages, possible addiction risks, and boundaries regarding the specifications for brain-computer interfaces and technology in order to serve long-term research and developmental learning goals are discussed.

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. According to data analysis, it appears that the type of programming language did not affect the students' brain activity.

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. Results suggest the enhanced performance in the case of neurofeedback trained group in terms of total correct and optimal algorithmic tasks solution. Furthermore, findings suggest that skills, concerning the way that an algorithm is conceived, designed, applied and evaluated are essentially improved.

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. A study of 182 children of upper education is proposed to assess the efficacy of two protocols of neurofeedback training as means of algorithmic thinking ability evaluation. Results suggest statistical significant variation in the mean SD values in terms of several brain waves ratios during algorithmic task solving epochs.

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. However, additional research is needed to overall evaluate the efficacy of the proposed method to elderly adults.