scholarly journals Sleep, Memory & Brain Rhythms

Daedalus ◽  
2015 ◽  
Vol 144 (1) ◽  
pp. 67-82 ◽  
Author(s):  
Brendon O. Watson ◽  
György Buzsáki

Sleep occupies roughly one-third of our lives, yet the scientific community is still not entirely clear on its purpose or function. Existing data point most strongly to its role in memory and homeostasis: that sleep helps maintain basic brain functioning via a homeostatic mechanism that loosens connections between overworked synapses, and that sleep helps consolidate and re-form important memories. In this review, we will summarize these theories, but also focus on substantial new information regarding the relation of electrical brain rhythms to sleep. In particular, while REM sleep may contribute to the homeostatic weakening of overactive synapses, a prominent and transient oscillatory rhythm called “sharp-wave ripple” seems to allow for consolidation of behaviorally relevant memories across many structures of the brain. We propose that a theory of sleep involving the division of labor between two states of sleep–REM and non-REM, the latter of which has an abundance of ripple electrical activity–might allow for a fusion of the two main sleep theories. This theory then postulates that sleep performs a combination of consolidation and homeostasis that promotes optimal knowledge retention as well as optimal waking brain function.

1986 ◽  
Vol 148 (4) ◽  
pp. 357-362 ◽  
Author(s):  
Bruce E. Wexler

Much current research in psychiatry proceeds in the absence of an integrated model of brain function. It is based instead on the effort to relate clinical syndromes to single, localised abnormalities in the brain. Such an approach is inconsistent with existing data, inadequate for linking research findings with clinical practice, and, probably, fundamentally misdirected. A model of brain function is presented that is based on Luria's notion of cerebral functional systems and on the proposition that the neural substrates of emotion are those processes that integrate different brain regions. Some of the implications of this model for research are discussed.


2015 ◽  
Vol 27 (5) ◽  
pp. 565-575 ◽  
Author(s):  
Yvonne Lagrosen ◽  
Frederick T. Travis

Purpose – The purpose of this paper is to explore possible connections between brain functioning and quality management. Design/methodology/approach – Five central principles regarding brain functioning according to neuroscience are conceptually described and related to principles and major concepts in quality management with a special emphasis on Deming’s system of profound knowledge. Findings – The principles are shown to be related in a profound way. The first principle of coherence is closely related to appreciation for a system. The principle of homeostatic feedback loops concerns events that disturb the equilibrium of a system and is related to knowledge about variation. Neural plasticity is related to a theory of knowledge. The last two principles involve emotional and cognitive contributions to decision-making. They are closely related to the element psychology and one of them could lead to a further development of Deming’s system of profound knowledge. Research limitations/implications – The paper adds to the understanding of the role brain integration has for success in quality management efforts. A limitation is that it is difficult to localise higher-order thinking in brain function. Nonetheless, the research is indicative and provocative as a window to stimulate research into the fundamental basis of quality management success. Practical implications – The findings provide a deeper understanding of profound knowledge in quality management through relating it to how the brain is functioning, which is of value for quality managers and leaders striving for excellence for their organisations. Originality/value – The connection of brain principles with Deming’s profound knowledge has not been elaborated in the literature before.


2016 ◽  
Vol 5 (4) ◽  
pp. 77-84
Author(s):  
N.Yu. Novitskiy

This article gives an overview of the current status of the problem of plastic brain changes in connection with the study of a foreign language. It links learning of languages with bilingualism, which is a widespread phenomenon in contemporary world. Recent surveys indicate that learning and using additional languages has a direct impact on the overall human cognitive functions whose mechanisms are relatively unknown. In this regard, the most important challenge facing the world today is neuro-biological mechanisms of interaction of languages in the brain of a bilingual and their impact on verbal and nonverbal brain function. Despite the large amount of experimental material on this issue, the data remains controversial, and many authors put under question the existence of such benefits. Possible reason for the discrepancy is a great heterogeneity among bilinguals. In conclusion the article stresses the importance of research of cognitive control in bilinguals in different groups of bi-and multilingual subjects.


2018 ◽  
Author(s):  
VIktor Jirsa ◽  
Anthony Randal McIntosh ◽  
Raoul Huys

Over the last few decades, neuroscience, and various associated disciples, has expanded enormously in terms of output, tools, methods, concepts and large-scale projects. In spite of these developments, the principles underlying brain function and behavior are of yet only partially understood. We claim that brain functioning requires the elucidation of the rules associated with all possible task realizations, rather than targeting the activity underlying a specific realization. A first step into that direction was taken by approaches focusing on dynamical structures underlying task performances, as exemplified by Coordination Dynamics. Theoretically, this approach is founded on Haken’s Synergetics, which provides a mechanism through which the degrees of freedom associated with high-dimensional systems may be effectively reduced to one or a few functional ones. This dimensionality reduction, however, is only valid in the vicinity of phase transitions, which severely limits the framework’s domain of explanation. This limitation does not hold for the recently advanced framework of Structured Flows on Manifolds (SFM), which is similar in spirit yet complementary to Synergetics. Following novel theoretical work on the onset, propagation, and offset of epileptic seizures, we expand the SFM framework, and propose that the resulting two-tiered fast-slow dynamics may be a generic mathematical organization underlying and linking brain and behavior.


Author(s):  
Preecha Yupapin ◽  
Amiri I. S. ◽  
Ali J. ◽  
Ponsuwancharoen N. ◽  
Youplao P.

The sequence of the human brain can be configured by the originated strongly coupling fields to a pair of the ionic substances(bio-cells) within the microtubules. From which the dipole oscillation begins and transports by the strong trapped force, which is known as a tweezer. The tweezers are the trapped polaritons, which are the electrical charges with information. They will be collected on the brain surface and transport via the liquid core guide wave, which is the mixture of blood content and water. The oscillation frequency is called the Rabi frequency, is formed by the two-level atom system. Our aim will manipulate the Rabi oscillation by an on-chip device, where the quantum outputs may help to form the realistic human brain function for humanoid robotic applications.


2020 ◽  
Vol 15 (4) ◽  
pp. 287-299
Author(s):  
Jie Zhang ◽  
Junhong Feng ◽  
Fang-Xiang Wu

Background: : The brain networks can provide us an effective way to analyze brain function and brain disease detection. In brain networks, there exist some import neural unit modules, which contain meaningful biological insights. Objective:: Therefore, we need to find the optimal neural unit modules effectively and efficiently. Method:: In this study, we propose a novel algorithm to find community modules of brain networks by combining Neighbor Index and Discrete Particle Swarm Optimization (DPSO) with dynamic crossover, abbreviated as NIDPSO. The differences between this study and the existing ones lie in that NIDPSO is proposed first to find community modules of brain networks, and dose not need to predefine and preestimate the number of communities in advance. Results: : We generate a neighbor index table to alleviate and eliminate ineffective searches and design a novel coding by which we can determine the community without computing the distances amongst vertices in brain networks. Furthermore, dynamic crossover and mutation operators are designed to modify NIDPSO so as to alleviate the drawback of premature convergence in DPSO. Conclusion: The numerical results performing on several resting-state functional MRI brain networks demonstrate that NIDPSO outperforms or is comparable with other competing methods in terms of modularity, coverage and conductance metrics.


We have new answers to how the brain works and tools which can now monitor and manipulate brain function. Rapid advances in neuroscience raise critical questions with which society must grapple. What new balances must be struck between diagnosis and prediction, and invasive and noninvasive interventions? Are new criteria needed for the clinical definition of death in cases where individuals are eligible for organ donation? How will new mobile and wearable technologies affect the future of growing children and aging adults? To what extent is society responsible for protecting populations at risk from environmental neurotoxins? As data from emerging technologies converge and are made available on public databases, what frameworks and policies will maximize benefits while ensuring privacy of health information? And how can people and communities with different values and perspectives be maximally engaged in these important questions? Neuroethics: Anticipating the Future is written by scholars from diverse disciplines—neurology and neuroscience, ethics and law, public health, sociology, and philosophy. With its forward-looking insights and considerations for the future, the book examines the most pressing current ethical issues.


Author(s):  
Stefano Vassanelli

Establishing direct communication with the brain through physical interfaces is a fundamental strategy to investigate brain function. Starting with the patch-clamp technique in the seventies, neuroscience has moved from detailed characterization of ionic channels to the analysis of single neurons and, more recently, microcircuits in brain neuronal networks. Development of new biohybrid probes with electrodes for recording and stimulating neurons in the living animal is a natural consequence of this trend. The recent introduction of optogenetic stimulation and advanced high-resolution large-scale electrical recording approaches demonstrates this need. Brain implants for real-time neurophysiology are also opening new avenues for neuroprosthetics to restore brain function after injury or in neurological disorders. This chapter provides an overview on existing and emergent neurophysiology technologies with particular focus on those intended to interface neuronal microcircuits in vivo. Chemical, electrical, and optogenetic-based interfaces are presented, with an analysis of advantages and disadvantages of the different technical approaches.


Author(s):  
Siri Hauge Opdal ◽  
Linda Ferrante ◽  
Torleiv Ole Rognum ◽  
Arne Stray-Pedersen

AbstractSeveral studies have indicated that a vulnerability in the development and regulation of brain function is involved in sudden infant death syndrome (SIDS). The aim of this study was to investigate the genes encoding the brain aquaporins (AQPs) AQP1 and AQP9 in SIDS. The hypothesis was that specific variants of these genes are part of the genetic vulnerability predisposing infants to sudden unexpected death. The study included 168 SIDS cases with a median age of 15.5 (range 2–52) weeks and 372 adolescent/adult deceased controls with a median age of 44 (range 11–91) years. In the AQP1 gene, the rs17159702 CC/CT genotypes were found to be associated with SIDS (p = 0.02). In the AQP9 gene, the combination of a TT genotype of rs8042354, rs2292711 and rs13329178 was more frequent in SIDS cases than in controls (p = 0.03). In the SIDS group, an association was found between genetic variations in the AQP1 gene and maternal smoking and between the 3xTT combination in the AQP9 gene and being found lifeless in a prone position. In conclusion, this study adds further evidence to the involvement of brain aquaporins in SIDS, suggesting that specific variants of AQP genes constitute a genetic predisposition, making the infant vulnerable to sudden death together with external risk factors and probably other genetic factors.


2021 ◽  
Vol 22 (9) ◽  
pp. 4511
Author(s):  
Chiara A. De Benedictis ◽  
Claudia Haffke ◽  
Simone Hagmeyer ◽  
Ann Katrin Sauer ◽  
Andreas M. Grabrucker

In the last years, research has shown that zinc ions play an essential role in the physiology of brain function. Zinc acts as a potent neuromodulatory agent and signaling ions, regulating healthy brain development and the function of both neurons and glial cells. Therefore, the concentration of zinc within the brain and its cells is tightly controlled. Zinc transporters are key regulators of (extra-) cellular zinc levels, and deregulation of zinc homeostasis and zinc transporters has been associated with neurodegenerative and neuropsychiatric disorders. However, to date, the presence of specific family members and their subcellular localization within brain cells have not been investigated in detail. Here, we analyzed the expression of all zinc transporters (ZnTs) and Irt-like proteins (ZIPs) in the rat brain. We further used primary rat neurons and rat astrocyte cell lines to differentiate between the expression found in neurons or astrocytes or both. We identified ZIP4 expressed in astrocytes but significantly more so in neurons, a finding that has not been reported previously. In neurons, ZIP4 is localized to synapses and found in a complex with major postsynaptic scaffold proteins of excitatory synapses. Synaptic ZIP4 reacts to short-term fluctuations in local zinc levels. We conclude that ZIP4 may have a so-far undescribed functional role at excitatory postsynapses.


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