scholarly journals Neurophysiology and Neurorehabilitation of Cognitive Impairment and Disorders

2019 ◽  
Vol 5 (11) ◽  
pp. 176-196 ◽  
Author(s):  
N. Romanchuk ◽  
P. Romanchuk
Keyword(s):  
Artificial Intelligence ◽  
Homo Sapiens ◽  
Cognitive Disorders ◽  
Hand Tools ◽  
New Methods ◽  
The One ◽  
New Generation ◽  
The Brain ◽  
Neuroimaging Techniques ◽  
Modern Solution

Doctor and neurophysiologist: a modern solution to problems of rehabilitation ‘cognitive brain’ of Homo sapiens using on the one hand, tools and technologies of artificial intelligence, and with another — a multidisciplinary collaboration with clinical neurophysiologist ‘universal’ specialist in the field of neurology, psychiatry, psychotherapy, psychoanalysis and geriatrics. Modern artificial intelligence technologies are capable of many things, including predicting Alzheimer’s disease with the help of combined and hybrid neuroimaging, sequencing of a new generation, etc., in order to start timely and effective rehabilitation brain H. sapiens. The H. sapiens brain is the next frontier for health care. Through the fusion of combined and hybrid neuroimaging techniques with artificial intelligence technologies, it will be possible to understand and diagnose neurological disorders and find new methods of rehabilitation and medical and social support that will lead to improved mental health. To restore circadian neuroplasticity of the brain, a multimodal scheme is proposed: circadian glasses, functional nutrition and physical activity. A combined and hybrid cluster in the diagnosis, treatment, prevention and rehabilitation of cognitive disorders and cognitive disorders has been developed and implemented.

scholarly journals Circadian Stress of Homo sapiens: New Neurophysiological, Neuroendocrine and Psychoneuroimmune Mechanisms

2020 ◽  
Vol 6 (6) ◽  
pp. 115-135 ◽  
Author(s):  
V. Pyatin ◽  
N. Romanchuk ◽  
S. Bulgakova ◽  
D. Romanov ◽  
I. Sirotko ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Homo Sapiens ◽  
Cognitive Disorders ◽  
Circadian System ◽  
Premature Aging ◽  
Stress Reactions ◽  
Hand Tools ◽  
Pathological Effect ◽  
Cognitive Components ◽  
The Stability

Circadian stress causes dysregulation of brain Homo sapiens software followed by impairment of the cognitive and visceral brains. The body’s circadian rhythms are programmed with a system of circadian genes. Circadian clock and circadian system — are the biophysical and biochemical regulators of immune protection. Circadian synchronization system is an evolutionary software product of biocomputer for survival and preparation of the organism for expected cyclic challenges, different epigenetic orientation. Understanding the temporal relationship between stressors and stress reactions is critical to understanding the molecular foundations of the physiology and pathogenesis of the disease. Chronic stress and circadian mismatch trigger a cascade of failures in the functioning of neurophysiological, neuroendocrine, and psychoneuroimmune mechanisms. Epigenetic loading and allostatic overload reduce both the body’s overall workability and its physical, occupational, and cognitive components. Circadian stress has a pathological effect on a person, in all his age periods of life. The level of disease exposure depends on the stability of the body’s protective systems. In the works of N. P. Romanchuk, it is established that modern solution to the problem of rehabilitation of cognitive brain H. sapiens with the use, on the one hand, tools and technologies of artificial intelligence, and on the other — multidisciplinary interaction of neurophysiologist with clinical universal specialist in the field of neurology, psychiatry, psychotherapy, psychoanalysis, and geriatrics. Modern artificial intelligence technologies are capable of much, including predicting cognitive disorders and cognitive disorders, through combined and hybrid neuroimaging, next-generation sequencing, etc., with the aim of initiating timely and effective rehabilitation of brain H. sapiens. Chronotherapy and psychochronobiological strategies to protect various groups and categories of the population from the effects of circadian stress allow blocking the transition of cognitive disorders to cognitive disorders. The skin is a unique synchronized near interface of the skin-circadian system, and the condition of the skin of the face and hands is an individual indicator (biomarker) of the effect of chronic circadian stress on accelerated (premature) aging of the human body.

Brain, Eyes, Light: Biological Electrical Magnetism of Light and Neurorehabilitation of Cognitive Impairment

2019 ◽  
Vol 5 (12) ◽  
pp. 129-155 ◽  
Author(s):  
V. Pyatin ◽  
N. Romanchuk ◽  
P. Romanchuk ◽  
A. Volobuev
Keyword(s):  
Cognitive Impairment ◽  
Hybrid Methods ◽  
Homo Sapiens ◽  
Light Exposure ◽  
Multimodal Interaction ◽  
Spectral Composition ◽  
Cognitive Disorders ◽  
Endocrine Disorders ◽  
Sleep Wake Disorders ◽  
The Brain

Biological electrical magnetism of light and neural networks of the brain is the adaptation and optimization of external and internal lighting conditions (type, nature, duration) to improve the cognitive brain. Homo sapiens brain operates in a 24-hour biological electrical magnetic environment. Light is the strongest synchronizing signal for the circadian system, and therefore keeps most biological and psychological rhythms internally synchronized, which is important for the optimal functioning of H. sapiens brain. Circadian Sleep–Wake disorders and chronic circadian misalignment, often seen in psychiatric and neurodegenerative diseases, may be effective in neurorehabilitation of cognitive impairment. Beneficial effects on circadian synchronization, sleep quality, mood and cognitive performance-depend on the time, intensity and spectral composition of light exposure. Multidisciplinary and multimodal interaction in the triad “brain–eyes–vessels” allows to identify early biomarkers of both General accelerated and pathological aging, and timely diagnose neurodegeneration, and conduct effective neurorehabilitation of cognitive disorders. Control and treatment of vascular risk factors and endocrine disorders can reduce the prevalence of long-term disability among the elderly population. Combined and hybrid methods of neuroimaging in conjunction with artificial intelligence technologies, allow to understand and diagnose neurological disorders and find new methods of neurorehabilitation and medical and social support that will lead to improved mental health. To restore circadian neuroplasticity of the brain, a multimodal scheme is proposed: circadian glasses, functional nutrition and physical activity. A combined and hybrid cluster in the diagnosis, treatment, prevention and rehabilitation of cognitive disorders and cognitive disorders has been developed and implemented.

scholarly journals Alzheimer’s Disease and Artificial Intelligence: Long-term Personalized Rehabilitation and Medical and Social Support

2019 ◽  
Vol 5 (11) ◽  
pp. 136-175 ◽  
Author(s):  
S. Bulgakova ◽  
P. Romanchuk ◽  
N. Romanchuk ◽  
V. Pyatin ◽  
D. Romanov ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Homo Sapiens ◽  
Phenotypic Variability ◽  
Functional Markers ◽  
Pathological Aging ◽  
Clinical Biomarkers ◽  
Combining Data ◽  
The Brain

Modern technologies and tools for the rehabilitation of patients with Alzheimer’s disease have many potential applications for the treatment of dementia from diagnosis and evaluation to medical care, medical, social and economic support: from healthy aging, to accelerated and pathological aging of Homo sapiens. Doctor and neuroscientist: a modern solution to problems of rehabilitation ‘cognitive brain’ of Homo sapiens using on the one hand, tools and technologies of artificial intelligence, and with another — a multidisciplinary collaboration with clinical neurophysiologist ‘universal’ specialist in the field of neurology, psychiatry, psychotherapy, psychoanalysis and geriatrics. Systems biology, Biophysics, physiology, neurophysiology and highlight the multidimensional and combinatorial profiles of genetic, biological, pathophysiological and clinical biomarkers that reflects the heterogeneity of neurodegeneration, by means of modern efficient analysis tools to register and create comprehensive maps of the brain and recording of dynamic models in different systems: from molecules to neurons to brain regions. Bioinformatics, neuroimaging and neurophysiology of systems are aimed at calculating neural network models of the relationship between structure and dynamic function in brain networks. Structural and functional markers of the brain establish a link between clinical phenotypes and molecular pathophysiological mechanisms. Phenotypic variability is now considered one of the biggest problems in gerontology and geriatrics. MRI imaging to detect subtle changes in brain tissue and structure, fMRI imaging to measure changes in brain activity, and EEG to measure electrical activity have given clinicians many new insights into what happens in the brain in healthy and pathological aging. The paradigm of system neurophysiology is aimed at studying the fundamental principles of functioning of integrated neural systems through the integration and analysis of neural information recorded in a multimodal way (for example, fMRI and EEG), through computational modeling and combining data mining methods. The ultimate goal of systemic neurophysiology is to find out how signals are represented in neocortical networks and what role many different neural components play. Modern artificial intelligence technologies are capable of many things, including predicting Alzheimer's disease with the help of combined and hybrid neuroimaging, sequencing of a new generation, etc., in order to start timely and effective rehabilitation brain Homo sapiens.

Heidegger and archaeology

1996 ◽  
Vol 3 (1) ◽  
pp. 29-33 ◽  
Author(s):  
Th.C.W. Oudemans
Keyword(s):  
Homo Sapiens ◽  
The Other ◽  
Natural Evolution ◽  
Blind Alley ◽  
Metaphysical Foundation ◽  
Mental Abilities ◽  
The One ◽  
The Brain

Under the title Triumphal procession from the blind alley, the German magazine Der Spiegel in the autumn of 1995 published a series of articles on the latest developments in the archaeology of Homo sapiens and its ancestors. These articles focus on mankind's evolution, and its relationship to the capacities of mankind's mind and culture. The question is posed: Did the prevailing circumstances force mankind to develop its mental abilities, or did evolution plant the seeds of culture in the brain of Homo sapiens? As soon as we hear a question like this, we have the suspicion that its rests on a shaky metaphysical foundation: the distinction between natural evolution on the one hand, and mind, culture, art, myth, religion, and language on the other.

scholarly journals Bioelementology and Nutritionology of the Brain

2021 ◽  
Vol 7 (9) ◽  
pp. 189-227
Author(s):  
N. Romanchuk
Keyword(s):  
Trace Elements ◽  
Information Exchange ◽  
Intellectual Development ◽  
Hybrid Methods ◽  
Homo Sapiens ◽  
Cognitive Disorders ◽  
Cobalt Chromium ◽  
Age Related ◽  
Multimodal Methods ◽  
The Brain

New insights into the mechanisms underlying the action of macro- and trace elements on the brain and the microbiota-gut-brain axis will promote the development of food interventions aimed at optimizing brain function and preventing or treating neurodegenerative disorders and other age-related conditions. Rehabilitation of the seven most common deficiencies of trace elements — iron, zinc, copper, selenium, cobalt, chromium and iodine — can increase global IQ, cognitive brain neurocommunication and the intellectual development of Homo sapiens in the 21st century. Further structural-functional and cognitive development of the brain will require quantitative and qualitative provision of new tools of bioelementology and brain nutritionology. N. P. Romanchuk studies show that for new neurogenesis and neuroplasticity, to manage human neuroplasticity and biological age, for modern neurophysiology and neurorehabilitation of cognitive impairment and cognitive disorders, sufficient functional and energy nutrition of the brain is needed. Authors’ works in the creation of a new protective functional and epigenetic nutrition, the clinical application of strategic combined and hybrid methods and tools in the neurorehabilitation of the circadian system, the use of artificial intelligence in the functioning of the “cognitive brain” and “visceral brain” and brain-microbiota neural networks are a promising applied direction in personalized medicine. Psychoneuroimmunological communications and neuroendocrinological multimodal methods make it possible to significantly increase the duration of an active and high-quality healthy life of a person. Modern communications are multilevel, multi-paradigm and interdisciplinary models of information exchange. The new competencies of psychoneuroimmunoendocrinology and neuroeconomics play a strategic role in interdisciplinary science and interdisciplinary planning and decision-making, in creating a fundamentally new theory that will explain our decisions with genes, neuronal activity, our brain's perception of information, the influence of neurosociology and neuroevolution.

Confronting the grey zone after severe brain injury

2019 ◽  
Vol 3 (6) ◽  
pp. 707-711 ◽  
Author(s):  
Andrew Peterson ◽  
Adrian M. Owen
Keyword(s):  
Brain Injury ◽  
Ethical Issues ◽  
Vegetative State ◽  
Clinical Care ◽  
Grey Zone ◽  
Severe Brain Injury ◽  
New Methods ◽  
Legal Decision Making ◽  
Technological Developments ◽  
The Brain

In recent years, rapid technological developments in the field of neuroimaging have provided several new methods for revealing thoughts, actions and intentions based solely on the pattern of activity that is observed in the brain. In specialized centres, these methods are now being employed routinely to assess residual cognition, detect consciousness and even communicate with some behaviorally non-responsive patients who clinically appear to be comatose or in a vegetative state. In this article, we consider some of the ethical issues raised by these developments and the profound implications they have for clinical care, diagnosis, prognosis and medical-legal decision-making after severe brain injury.

Central Nerve System Impairment, AMA Guides, Sixth Edition: An Overview

2018 ◽  
Vol 23 (1) ◽  
pp. 10-13
Author(s):  
James B. Talmage ◽  
Jay Blaisdell
Keyword(s):  
Spinal Cord ◽  
Central Nervous System ◽  
Nervous System ◽  
Neurological Impairment ◽  
Sixth Edition ◽  
Central Nerve System ◽  
The Central Nervous System ◽  
The One ◽  
Nerve System ◽  
The Brain

Abstract Injuries that affect the central nervous system (CNS) can be catastrophic because they involve the brain or spinal cord, and determining the underlying clinical cause of impairment is essential in using the AMA Guides to the Evaluation of Permanent Impairment (AMA Guides), in part because the AMA Guides addresses neurological impairment in several chapters. Unlike the musculoskeletal chapters, Chapter 13, The Central and Peripheral Nervous System, does not use grades, grade modifiers, and a net adjustment formula; rather the chapter uses an approach that is similar to that in prior editions of the AMA Guides. The following steps can be used to perform a CNS rating: 1) evaluate all four major categories of cerebral impairment, and choose the one that is most severe; 2) rate the single most severe cerebral impairment of the four major categories; 3) rate all other impairments that are due to neurogenic problems; and 4) combine the rating of the single most severe category of cerebral impairment with the ratings of all other impairments. Because some neurological dysfunctions are rated elsewhere in the AMA Guides, Sixth Edition, the evaluator may consult Table 13-1 to verify the appropriate chapter to use.

The Cooking Ape: An Interview with Richard Wrangham

2005 ◽  
Vol 5 (1) ◽  
pp. 29-37
Author(s):  
elisabeth townsend
Keyword(s):  
Social Relationships ◽  
Human Behavior ◽  
Homo Sapiens ◽  
Social Groups ◽  
Harvard University ◽  
Primate Research ◽  
Social Organizations ◽  
Cooked Food ◽  
New Research ◽  
The Brain

Humans: The Cooking Ape Perhaps the first to suggest that humans were cooking as early as 1.9 million years ago, Richard Wrangham shows through his new research and his imagination how and possibly when cooking changed humans dramatically. Wrangham, Harvard University primatologist and MacArthur Fellow, has been studying the evolution of human cooking. After 25 years of primate research at his site in Kibale, Uganda, Wrangham is best known for explaining the similarity and differences across species of primate social organizations. In Kibale, he has analyzed chimpanzees’ behavior: how it’s changed when they interact with the environment and how their social groups have evolved. In particular, he noticed how food changed their interactions with each other. Like that of chimps, human behavior has been affected by food, especially as they shifted from raw to cooked food. Moving from eating food as it was discovered to collecting edibles and cooking them altered our social relationships. Cooked food has changed Homo sapiens physically by making food more digestible thereby altering jaws, teeth, and guts, and providing more calories for more expensive organs such as the brain. Wrangham discusses when and how humans may have started using fire to cook food, what they cooked, and the transition from cooking in an outdoor fire to hearths and open ovens.

scholarly journals Bio-Inspired Modality Fusion for Active Speaker Detection

2021 ◽  
Vol 11 (8) ◽  
pp. 3397
Author(s):  
Gustavo Assunção ◽  
Nuno Gonçalves ◽  
Paulo Menezes
Keyword(s):  
Superior Colliculus ◽  
Visual Information ◽  
Human Beings ◽  
Validation Process ◽  
Detection Approach ◽  
Wide Range ◽  
Speaker Detection ◽  
The One ◽  
The Brain ◽  
Fusion Ability

Human beings have developed fantastic abilities to integrate information from various sensory sources exploring their inherent complementarity. Perceptual capabilities are therefore heightened, enabling, for instance, the well-known "cocktail party" and McGurk effects, i.e., speech disambiguation from a panoply of sound signals. This fusion ability is also key in refining the perception of sound source location, as in distinguishing whose voice is being heard in a group conversation. Furthermore, neuroscience has successfully identified the superior colliculus region in the brain as the one responsible for this modality fusion, with a handful of biological models having been proposed to approach its underlying neurophysiological process. Deriving inspiration from one of these models, this paper presents a methodology for effectively fusing correlated auditory and visual information for active speaker detection. Such an ability can have a wide range of applications, from teleconferencing systems to social robotics. The detection approach initially routes auditory and visual information through two specialized neural network structures. The resulting embeddings are fused via a novel layer based on the superior colliculus, whose topological structure emulates spatial neuron cross-mapping of unimodal perceptual fields. The validation process employed two publicly available datasets, with achieved results confirming and greatly surpassing initial expectations.

scholarly journals Explainable AI: A Review of Machine Learning Interpretability Methods

Entropy ◽  
2020 ◽  
Vol 23 (1) ◽  
pp. 18
Author(s):  
Pantelis Linardatos ◽  
Vasilis Papastefanopoulos ◽  
Sotiris Kotsiantis
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Black Box ◽  
Learning Systems ◽  
Model Complexity ◽  
Learning Models ◽  
New Methods ◽  
Industrial Adoption ◽  
Machine Learning Models ◽  
The Way

Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning systems demonstrating superhuman performance in a significant number of tasks. However, this surge in performance, has often been achieved through increased model complexity, turning such systems into “black box” approaches and causing uncertainty regarding the way they operate and, ultimately, the way that they come to decisions. This ambiguity has made it problematic for machine learning systems to be adopted in sensitive yet critical domains, where their value could be immense, such as healthcare. As a result, scientific interest in the field of Explainable Artificial Intelligence (XAI), a field that is concerned with the development of new methods that explain and interpret machine learning models, has been tremendously reignited over recent years. This study focuses on machine learning interpretability methods; more specifically, a literature review and taxonomy of these methods are presented, as well as links to their programming implementations, in the hope that this survey would serve as a reference point for both theorists and practitioners.

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