scholarly journals Can Chaotic Analysis of Electroencephalogram Aid the Diagnosis of Encephalopathy?

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Jisu Elsa Jacob ◽  
Ajith Cherian ◽  
K. Gopakumar ◽  
Thomas Iype ◽  
Doris George Yohannan ◽  
...  
Keyword(s):  
Brain Function ◽  
Support Vector Machine Classifier ◽  
Physiological Signals ◽  
Support Vector ◽  
Largest Lyapunov Exponent ◽  
Metabolic Encephalopathy ◽  
Brain Functions ◽  
Disease States ◽  
Similar Work ◽  
The Brain

Chaotic analysis is a relatively novel area in the study of physiological signals. Chaotic features of electroencephalogram have been analyzed in various disease states like epilepsy, Alzheimer’s disease, sleep disorders, and depression. All these diseases have primary involvement of the brain. Our study examines the chaotic parameters in metabolic encephalopathy, where the brain functions are involved secondary to a metabolic disturbance. Our analysis clearly showed significant lower values for chaotic parameters, correlation dimension, and largest Lyapunov exponent for EEG in patients with metabolic encephalopathy compared to normal EEG. The chaotic features of EEG have been shown in previous studies to be an indicator of the complexity of brain dynamics. The smaller values of chaotic features for encephalopathy suggest that normal complexity of brain function is reduced in encephalopathy. To the best knowledge of the authors, no similar work has been reported on metabolic encephalopathy. This finding may be useful to understand the neurobiological phenomena in encephalopathy. These chaotic features are then utilized as feature sets for Support Vector Machine classifier to identify cases of encephalopathy from normal healthy subjects yielding high values of accuracy. Thus, we infer that chaotic measures are EEG parameters sensitive to functional alterations of the brain, caused by encephalopathy.

scholarly journals The restless brain: how intrinsic activity organizes brain function

2015 ◽  
Vol 370 (1668) ◽  
pp. 20140172 ◽  
Author(s):  
Marcus E. Raichle
Keyword(s):  
Brain Function ◽  
Functional Organization ◽  
Sensory Information ◽  
Intrinsic Activity ◽  
Systems Neuroscience ◽  
Brain Functions ◽  
Molecular Neuroscience ◽  
Constant State ◽  
Health And Disease ◽  
The Brain

Traditionally studies of brain function have focused on task-evoked responses. By their very nature such experiments tacitly encourage a reflexive view of brain function. While such an approach has been remarkably productive at all levels of neuroscience, it ignores the alternative possibility that brain functions are mainly intrinsic and ongoing, involving information processing for interpreting, responding to and predicting environmental demands. I suggest that the latter view best captures the essence of brain function, a position that accords well with the allocation of the brain's energy resources, its limited access to sensory information and a dynamic, intrinsic functional organization. The nature of this intrinsic activity, which exhibits a surprising level of organization with dimensions of both space and time, is revealed in the ongoing activity of the brain and its metabolism. As we look to the future, understanding the nature of this intrinsic activity will require integrating knowledge from cognitive and systems neuroscience with cellular and molecular neuroscience where ion channels, receptors, components of signal transduction and metabolic pathways are all in a constant state of flux. The reward for doing so will be a much better understanding of human behaviour in health and disease.

scholarly journals Gut microbiota, the pharmabiotics they produce and host health

2014 ◽  
Vol 73 (4) ◽  
pp. 477-489 ◽  
Author(s):  
Elaine Patterson ◽  
John F. Cryan ◽  
Gerald F. Fitzgerald ◽  
R. Paul Ross ◽  
Timothy G. Dinan ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Brain Function ◽  
Innate Immune ◽  
Aminobutyric Acid ◽  
Intestinal Lumen ◽  
Bioactive Metabolites ◽  
Bioactive Lipids ◽  
Disease States ◽  
Host Health ◽  
The Brain

A healthy gut microbiota plays many crucial functions in the host, being involved in the correct development and functioning of the immune system, assisting in the digestion of certain foods and in the production of health-beneficial bioactive metabolites or ‘pharmabiotics’. These include bioactive lipids (including SCFA and conjugated linoleic acid) antimicrobials and exopolysaccharides in addition to nutrients, including vitamins B and K. Alterations in the composition of the gut microbiota and reductions in microbial diversity are highlighted in many disease states, possibly rendering the host susceptible to infection and consequently negatively affecting innate immune function. Evidence is also emerging of microbially produced molecules with neuroactive functions that can have influences across the brain–gut axis. For example, γ-aminobutyric acid, serotonin, catecholamines and acetylcholine may modulate neural signalling within the enteric nervous system, when released in the intestinal lumen and consequently signal brain function and behaviour. Dietary supplementation with probiotics and prebiotics are the most widely used dietary adjuncts to modulate the gut microbiota. Furthermore, evidence is emerging of the interactions between administered microbes and dietary substrates, leading to the production of pharmabiotics, which may directly or indirectly positively influence human health.

scholarly journals Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain

2020 ◽  
Author(s):  
Sreejan Kumar ◽  
Cameron T. Ellis ◽  
Thomas O’Connell ◽  
Marvin M Chun ◽  
Nicholas B. Turk-Browne
Keyword(s):  
Human Brain ◽  
Language Processing ◽  
Brain Function ◽  
Computational Models ◽  
Brain Activity ◽  
Functional Space ◽  
Semantic Features ◽  
Brain Functions ◽  
Auditory Features ◽  
The Brain

AbstractThe extent to which brain functions are localized or distributed is a foundational question in neuroscience. In the human brain, common fMRI methods such as cluster correction, atlas parcellation, and anatomical searchlight are biased by design toward finding localized representations. Here we introduce the functional searchlight approach as an alternative to anatomical searchlight analysis, the most commonly used exploratory multivariate fMRI technique. Functional searchlight removes any anatomical bias by grouping voxels based only on functional similarity and ignoring anatomical proximity. We report evidence that visual and auditory features from deep neural networks and semantic features from a natural language processing model are more widely distributed across the brain than previously acknowledged. This approach provides a new way to evaluate and constrain computational models with brain activity and pushes our understanding of human brain function further along the spectrum from strict modularity toward distributed representation.

scholarly journals Current Paradigms to Explore the Gut Microbiota Linkage to Neurological Disorders

EMJ Neurology ◽  
2020 ◽  
pp. 68-79
Author(s):  
Varruchi Sharma ◽  
Atul Sankhyan ◽  
Anshika Varshney ◽  
Renuka Choudhary ◽  
Anil K. Sharma
Keyword(s):  
Gut Microbiota ◽  
Neurological Disorders ◽  
Brain Function ◽  
Intervention Strategy ◽  
Neurological Complications ◽  
Communication Link ◽  
Brain Functions ◽  
Current Review ◽  
The Impact ◽  
The Brain

It has been suggested that an intricate communication link exists between the gut microbiota and the brain and its ability to modulate behaviour of an individual governing homeostasis. Metabolic activity of the microbiota is considered to be relatively constant in healthy individuals, despite differences in the composition of microbiota. The metabolites produced by gut microbiota and their homeostatic balance is often perturbed as a result of neurological complications. Therefore, it is of paramount importance to explore the link between gut microbiota and brain function and behaviour through neural, endocrine, and immune pathways. This current review focusses on the impact of altered gut microbiota on brain functions and how microbiome modulation by use of probiotics, prebiotics, and synbiotics might prove beneficial in the prevention and/or treatment of neurological disorders. It is important to carefully understand the complex mechanisms underlying the gut–brain axis so as to use the gut microbiota as a therapeutic intervention strategy for neurological disorders.

scholarly journals Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology

2019 ◽  
Vol 29 (09) ◽  
pp. 1950011 ◽  
Author(s):  
Fermín Segovia ◽  
Juan M. Górriz ◽  
Javier Ramírez ◽  
Francisco J. Martínez-Murcia ◽  
Diego Castillo-Barnes
Keyword(s):  
Support Vector Machine Classifier ◽  
Clinical Syndrome ◽  
Support Vector ◽  
Accuracy Rate ◽  
Bhattacharyya Distance ◽  
Progressive Loss ◽  
Neuroimaging Data ◽  
Assisted Diagnosis ◽  
And Control ◽  
The Brain

Parkinsonism is a clinical syndrome characterized by the progressive loss of striatal dopamine. Its diagnosis is usually corroborated by neuroimaging data such as DaTSCAN neuroimages that allow visualizing the possible dopamine deficiency. During the last decade, a number of computer systems have been proposed to automatically analyze DaTSCAN neuroimages, eliminating the subjectivity inherent to the visual examination of the data. In this work, we propose a computer system based on machine learning to separate Parkinsonian patients and control subjects using the size and shape of the striatal region, modeled from DaTSCAN data. First, an algorithm based on adaptative thresholding is used to parcel the striatum. This region is then divided into two according to the brain hemisphere division and characterized with 152 measures, extracted from the volume and its three possible 2-dimensional projections. Afterwards, the Bhattacharyya distance is used to discard the least discriminative measures and, finally, the neuroimage category is estimated by means of a Support Vector Machine classifier. This method was evaluated using a dataset with 189 DaTSCAN neuroimages, obtaining an accuracy rate over 94%. This rate outperforms those obtained by previous approaches that use the intensity of each striatal voxel as a feature.

Dissecting the regional diversity of glial cells by applying -omic technologies

e-Neuroforum ◽  
2015 ◽  
Vol 21 (3) ◽  
Author(s):  
Daniela C. Dieterich ◽  
Moritz J. Rossner
Keyword(s):  
Glial Cells ◽  
Brain Function ◽  
Recent Progress ◽  
Higher Order ◽  
Cell Populations ◽  
Cellular Activity ◽  
Regional Diversity ◽  
Brain Functions ◽  
Exploratory Approach ◽  
The Brain

AbstractNeuronal as well as glial cells contribute to higher order brain functions. Many observations show that neurons and glial cells are not only physically highly intermingled but are physiologically tightly connected and mutually depend at various levels on each other. Moreover, macroglia classes like astrocytes, NG2 cells and oligodendrocytes are not at all homogenous cell populations but do possess a markedly heterogeneity in various aspects similar to neurons. The diversity of differences in morphology, functionality and, cellular activity has been acknowledged recently and will be integrated into a concept of brain function that pictures a neural rather than a puristical neuronal world. With the recent progress in “omic” technologies, an unbiased and exploratory approach toward an enhanced understanding of glial heterogeneity has become possible. Here, we provide an overview on current technical transcriptomic and proteomic approaches used to dissect glial heterogeneity of the brain.

Fuzzy-based computational simulations of brain functions – preliminary concept

2016 ◽  
Vol 12 (3) ◽  
Author(s):  
Piotr Prokopowicz ◽  
Dariusz Mikołajewski
Keyword(s):  
Applied Sciences ◽  
Fuzzy Logic ◽  
Computational Neuroscience ◽  
Brain Function ◽  
Computational Models ◽  
Fuzzy Numbers ◽  
Brain Functions ◽  
Current State ◽  
Simulation Based ◽  
The Brain

AbstractResearch on the computational models of the brain constitutes an important part of the current challenges within computational neuroscience. The current results are not satisfying. Despite the continuous efforts of scientists and clinicians, it is hard to fully explain all the mechanisms of a brain function. Computational models of the brain based on fuzzy logic, including ordered fuzzy numbers, may constitute another breakthrough in the aforementioned area, offering a completing position to the current state of the art. The aim of this paper is to assess the extent to which possible opportunities concerning computational brain models based on fuzzy logic techniques may be exploited both in the area of theoretical and experimental computational neuroscience and in clinical applications, including our own concept. The proposed approach can open a family of novel methods for a more effective and (neuro)biologically reliable brain simulation based on fuzzy logic techniques useful in both basic sciences and applied sciences.

What Can Sensory Substitution Tell Us about the Organization of the Brain?

2018 ◽  
pp. 94-121
Author(s):  
Sarah Hillenbrand ◽  
Dina Raveh ◽  
Amir Amedi
Keyword(s):  
Brain Function ◽  
Sensory Substitution ◽  
Blind People ◽  
Modal Interactions ◽  
Brain Functions ◽  
Independent Task ◽  
The Brain ◽  
Do So

We discuss how sensory substitution devices (SSDs) can be used to study the organization of the brain. To do so we look at the use of SSDs in the blind and how SSDs can be used to identify sensory-dependent and sensory-independent brain function. Cross-modal interactions may represent new patterns of connectivity or the unmasking of pre-existing associations. We show how the blind brain can be a window into cross-modal plasticity and can dissociate intrinsic and experience-dependent brain functions. We argue that the brain is a sensory-independent task machine and explain the implications for the rehabilitation of blind people.

Neural Oscillations: Understanding a Neural Code of Pain

2020 ◽  
pp. 107385842095862
Author(s):  
Junseok A. Kim ◽  
Karen D. Davis
Keyword(s):  
Chronic Pain ◽  
Brain Regions ◽  
Oscillatory Activity ◽  
Neural Oscillations ◽  
Brain Functions ◽  
Disease States ◽  
Efficient Communication ◽  
Nociceptive Processing ◽  
The Brain

Neural oscillations play an important role in the integration and segregation of brain regions that are important for brain functions, including pain. Disturbances in oscillatory activity are associated with several disease states, including chronic pain. Studies of neural oscillations related to pain have identified several functional bands, especially alpha, beta, and gamma bands, implicated in nociceptive processing. In this review, we introduce several properties of neural oscillations that are important to understand the role of brain oscillations in nociceptive processing. We also discuss the role of neural oscillations in the maintenance of efficient communication in the brain. Finally, we discuss the role of neural oscillations in healthy and chronic pain nociceptive processing. These data and concepts illustrate the key role of regional and interregional neural oscillations in nociceptive processing underlying acute and chronic pains.

scholarly journals Brain-derived neurotrophic factor secreted by the cerebral endothelium: A new actor of brain function?

2018 ◽  
Vol 38 (6) ◽  
pp. 935-949 ◽  
Author(s):  
Christine Marie ◽  
Martin Pedard ◽  
Aurore Quirié ◽  
Anne Tessier ◽  
Philippe Garnier ◽  
...  
Keyword(s):  
Endothelial Cells ◽  
Neurotrophic Factor ◽  
Brain Function ◽  
Critical Role ◽  
Brain Derived Neurotrophic Factor ◽  
Brain Diseases ◽  
Cerebral Endothelium ◽  
Brain Functions ◽  
Cerebral Microvasculature ◽  
The Brain

Low cerebral levels of brain-derived neurotrophic factor (BDNF), which plays a critical role in many brain functions, have been implicated in neurodegenerative, neurological and psychiatric diseases. Thus, increasing BDNF levels in the brain is considered an attractive possibility for the prevention/treatment of various brain diseases. To date, BDNF-based therapies have largely focused on neurons. However, given the cross-talk between endothelial cells and neurons and recent evidence that BDNF expressed by the cerebral endothelium largely accounts for BDNF levels present in the brain, it is likely that BDNF-based therapies would be most effective if they also targeted the cerebral endothelium. In this review, we summarize the available knowledge about the biology and actions of BDNF derived from endothelial cells of the cerebral microvasculature and we emphasize the remaining gaps and shortcomings.

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