Consciousness

2018 ◽  
Author(s):  
Anil K. Seth
Keyword(s):  
Conscious Experience ◽  
Real Problem ◽  
Active Inference ◽  
Biological Mechanisms ◽  
Specific Content ◽  
Brain Responses ◽  
Biomimetic Approach ◽  
Multiple Levels ◽  
In Virtue Of ◽  
The Brain

Consciousness is perhaps the most familiar aspect of our existence, yet we still do not know its biological basis. This chapter outlines a biomimetic approach to consciousness science, identifying three principles linking properties of conscious experience to potential biological mechanisms. First, conscious experiences generate large quantities of information in virtue of being simultaneously integrated and differentiated. Second, the brain continuously generates predictions about the world and self, which account for the specific content of conscious scenes. Third, the conscious self depends on active inference of self-related signals at multiple levels. Research following these principles helps move from establishing correlations between brain responses and consciousness towards explanations which account for phenomenological properties—addressing what can be called the “real problem” of consciousness. The picture that emerges is one in which consciousness, mind, and life, are tightly bound together—with implications for any possible future “conscious machines.”

scholarly journals Integrated information structure collapses with anesthetic loss of conscious arousal in Drosophila melanogaster

2021 ◽  
Vol 17 (2) ◽  
pp. e1008722
Author(s):  
Angus Leung ◽  
Dror Cohen ◽  
Bruno van Swinderen ◽  
Naotsugu Tsuchiya
Keyword(s):  
Information Structure ◽  
Conscious Experience ◽  
The Novel ◽  
Information Structures ◽  
Specific Content ◽  
Level Of Consciousness ◽  
Rich Information ◽  
Novel Concept ◽  
The Brain ◽  
Integrated Information

The physical basis of consciousness remains one of the most elusive concepts in current science. One influential conjecture is that consciousness is to do with some form of causality, measurable through information. The integrated information theory of consciousness (IIT) proposes that conscious experience, filled with rich and specific content, corresponds directly to a hierarchically organised, irreducible pattern of causal interactions; i.e. an integrated informational structure among elements of a system. Here, we tested this conjecture in a simple biological system (fruit flies), estimating the information structure of the system during wakefulness and general anesthesia. Consistent with this conjecture, we found that integrated interactions among populations of neurons during wakefulness collapsed to isolated clusters of interactions during anesthesia. We used classification analysis to quantify the accuracy of discrimination between wakeful and anesthetised states, and found that informational structures inferred conscious states with greater accuracy than a scalar summary of the structure, a measure which is generally championed as the main measure of IIT. In stark contrast to a view which assumes feedforward architecture for insect brains, especially fly visual systems, we found rich information structures, which cannot arise from purely feedforward systems, occurred across the fly brain. Further, these information structures collapsed uniformly across the brain during anesthesia. Our results speak to the potential utility of the novel concept of an “informational structure” as a measure for level of consciousness, above and beyond simple scalar values.

scholarly journals Cell- and tIssue-specific effects of corticosteroids in relation to glucocorticoid resistance: examples from the brain

2003 ◽  
Vol 178 (1) ◽  
pp. 13-18 ◽  
Author(s):  
OC Meijer ◽  
AM Karssen ◽  
ER de Kloet
Keyword(s):  
Tissue Specificity ◽  
Glucocorticoid Resistance ◽  
Target Tissue ◽  
Efflux Transporter ◽  
Biological Mechanisms ◽  
Specific Effects ◽  
P Glycoprotein ◽  
Multiple Levels ◽  
The Brain ◽  
Response Specificity

The biological mechanisms that determine cell-specific responses to glucocorticoid hormones may overlap with those that are associated with acquired glucocorticoid resistance. Cell and tIssue specificity can be brought about in many different ways. Studies on the brain, an important glucocorticoid target tIssue, may provide examples of regulatory mechanisms underlying response specificity at multiple levels. In this commentary a number of such mechanisms are discussed, with emphasis on regulation of glucocorticoid bio-availability by the efflux transporter P-glycoprotein and on the variable presence of nuclear proteins which modulate or interfere with gluco- and mineralocorticoid receptor-mediated transcription.

scholarly journals Motivational system modulates brain responses during exploratory decision-making

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chia-Wei Li ◽  
Carol Yeh-Yun Lin ◽  
Ting-Ting Chang ◽  
Nai-Shing Yen ◽  
Danchi Tan
Keyword(s):  
Decision Making ◽  
High Performance ◽  
Behavioral Activation ◽  
Motivational Orientation ◽  
Performance Group ◽  
Reward Seeking ◽  
Brain Responses ◽  
Low Performance ◽  
Risk Choice ◽  
The Brain

AbstractManagers face risk in explorative decision-making and those who are better at such decisions can achieve future viability. To understand what makes a manager effective at explorative decision-making requires an analysis of the manager’s motivational characteristics. The behavioral activation/inhibition system (BAS/BIS), fitting the motivational orientation of “approach” or “avoidance,” can affect individual decision-making. However, very little is known about the neural correlates of BAS/BIS orientation and their interrelationship with the mental activity during explorative decision-making. We conducted an fMRI study on 111 potential managers to investigate how the brain responses of explorative decision-making interact with BAS/BIS. Participants were separated into high- and low-performance groups based on the median exploration-score. The low-performance group showed significantly higher BAS than that of the high-performance group, and its BAS had significant negative association with neural networks related to reward-seeking during explorative decision-making. Moreover, the BIS of the low-performance group was negatively correlated with the activation of cerebral regions responding to risk-choice during explorative decision-making. Our finding showed that BAS/BIS was associated with the brain activation during explorative decision-making only in the low-performance group. This study contributed to the understanding of the micro-foundations of strategically relevant decision-making and has an implication for management development.

Depression and Inflammatory Markers in Veterans With Multiple Sclerosis

2021 ◽  
pp. 109980042110500
Author(s):  
Pamela Newland ◽  
Yelyzaveta Basan ◽  
Ling Chen ◽  
Gregory Wu
Keyword(s):  
Multiple Sclerosis ◽  
Inflammatory Markers ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
The United States ◽  
Biological Mechanisms ◽  
The Central Nervous System ◽  
Brain And Spinal Cord ◽  
The Brain

Multiple sclerosis (MS), an inflammatory neurodegenerative disease of the central nervous system (CNS), afflicts over one per thousand people in the United States. The pathology of MS typically involves lesions in several regions, including the brain and spinal cord. The manifestation of MS is variable and carries great potential to negatively impact quality of life (QOL). Evidence that inflammatory markers are related to depression in MS is accumulating. However, there are barriers in precisely identifying the biological mechanisms underlying depression and inflammation. Analysis of cytokines provides one promising approach for understanding the mechanisms that may contribute to MS symptoms. Methods: In this pilot study, we measured salivary levels of interleukin (IL)-6, IL-1beta (β), and IL-10 in 24 veterans with MS. Descriptive statistics were reported and Pearson correlation coefficients were obtained between cytokines and depression. Results: The anti-inflammatory cytokine IL-10 was significantly negatively associated with depression in veterans with MS (r = −0.47, p = .024). Conclusion: Cytokines may be useful for elucidating biological mechanisms associated with the depression and a measure for nurses caring for veterans with MS.

scholarly journals Distributed Code for Semantic Relations Predicts Neural Similarity

2019 ◽  
Author(s):  
Jeffrey N. Chiang ◽  
Yujia Peng ◽  
Hongjing Lu ◽  
Keith J. Holyoak ◽  
Martin M. Monti
Keyword(s):  
Computational Models ◽  
Semantic Network ◽  
Building Blocks ◽  
Semantic Relations ◽  
Human Cognition ◽  
Sequential Presentation ◽  
Specific Content ◽  
Distributed Representations ◽  
Relational Similarity ◽  
The Brain

AbstractThe ability to generate and process semantic relations is central to many aspects of human cognition. Theorists have long debated whether such relations are coded as atomistic links in a semantic network, or as distributed patterns over some core set of abstract relations. The form and content of the conceptual and neural representations of semantic relations remains to be empirically established. The present study combined computational modeling and neuroimaging to investigate the representation and comparison of abstract semantic relations in the brain. By using sequential presentation of verbal analogies, we decoupled the neural activity associated with encoding the representation of the first-order semantic relation between words in a pair from that associated with the second-order comparison of two relations. We tested alternative computational models of relational similarity in order to distinguish between rival accounts of how semantic relations are coded and compared in the brain. Analyses of neural similarity patterns supported the hypothesis that semantic relations are coded, in the parietal cortex, as distributed representations over a pool of abstract relations specified in a theory-based taxonomy. These representations, in turn, provide the immediate inputs to the process of analogical comparison, which draws on a broad frontoparietal network. This study sheds light not only on the form of relation representations but also on their specific content.SignificanceRelations provide basic building blocks for language and thought. For the past half century, cognitive scientists exploring human semantic memory have sought to identify the code for relations. In a neuroimaging paradigm, we tested alternative computational models of relation processing that predict patterns of neural similarity during distinct phases of analogical reasoning. The findings allowed us to draw inferences not only about the form of relation representations, but also about their specific content. The core of these distributed representations is based on a relatively small number of abstract relation types specified in a theory-based taxonomy. This study helps to resolve a longstanding debate concerning the nature of the conceptual and neural code for semantic relations in the mind and brain.

scholarly journals Keep your interoceptive stream under control: an active inference perspective on Anorexia Nervosa.

2018 ◽  
Author(s):  
Laura Barca ◽  
giovanni pezzulo
Keyword(s):  
Eating Disorders ◽  
Anorexia Nervosa ◽  
Cognitive Control ◽  
Western World ◽  
Active Inference ◽  
Extensive Body ◽  
The Brain ◽  
Computational Level

Eating disorders, and in particular anorexia nervosa (AN), are widespread in the western world. Despite an extensive body of research, the mechanisms underlying anorexia nervosa and its striking eating restriction are still elusive. Here we propose an innovative account of anorexia, which elaborates on recent theories of the brain as a predictive machine (Friston, 2010; Friston et al., 2017; Pezzulo, Barca, Friston, 2015). Here we use this (active) interoceptive inference account to explain the starvation behavior characterizing restrictive anorexia. This novel perspective aims at merging computational-level constructs of active inference and altered interoceptive processing to psychological-level theories of cognitive control and self-coherence.

scholarly journals Situating allostasis and interoception at the core of human brain function

2021 ◽  
Author(s):  
Yuta Katsumi ◽  
Karen Quigley ◽  
Lisa Feldman Barrett
Keyword(s):  
Brain Function ◽  
Brain Evolution ◽  
Human Mind ◽  
Biological Mechanisms ◽  
The Core ◽  
Starting Point ◽  
Basic Functions ◽  
Mental Events ◽  
Physical Phenomena ◽  
The Brain

It is now well known that brain evolution, development, and structure do not respect Western folk categories of mind – that is, the boundaries of those folk categories have never been identified in nature, despite decades of search. Categories for cognitions, emotions, perceptions, and so on, may be useful for describing the mental phenomena that constitute a human mind, but they make a poor starting point for understanding the interplay of mechanisms that create those mental events in the first place. In this paper, we integrate evolutionary, developmental, anatomical, and functional evidence and propose that predictive regulation of the body’s internal systems (allostasis) and modeling the sensory consequences of this regulation (interoception) may be basic functions of the brain that are embedded in coordinated structural and functional gradients. Our approach offers the basis for a coherent, neurobiologically-inspired research program that attempts to explain how a variety of psychological and physical phenomena may emerge from the same biological mechanisms, thus providing an opportunity to unify them under a common explanatory framework that can be used to develop shared vocabulary for theory building and knowledge accumulation.

scholarly journals Brain Responses to Acupuncture Are Probably Dependent on the Brain Functional Status

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Chuanfu Li ◽  
Jun Yang ◽  
Jinbo Sun ◽  
Chunsheng Xu ◽  
Yuanqiang Zhu ◽  
...  
Keyword(s):  
Functional Status ◽  
Bell’S Palsy ◽  
Healthy Adults ◽  
Bell's Palsy ◽  
Brain Response ◽  
Brain Responses ◽  
Underlying Mechanisms ◽  
Pathological Stages ◽  
The Brain ◽  
Normal Controls

In recent years, neuroimaging studies of acupuncture have explored extensive aspects of brain responses to acupuncture in finding its underlying mechanisms. Most of these studies have been performed on healthy adults. Only a few studies have been performed on patients with diseases. Brain responses to acupuncture in patients with the same disease at different pathological stages have not been explored, although it may be more important and helpful in uncovering its underlying mechanisms. In the present study, we used fMRI to compare brain responses to acupuncture in patients with Bell’s palsy at different pathological stages with normal controls and found that the brain response to acupuncture varied at different pathological stages of Bell’s palsy. The brain response to acupuncture decreased in the early stages, increased in the later stages, and nearly returned to normal in the recovered group. All of the changes in the brain response to acupuncture could be explained as resulting from the changes in the brain functional status. Therefore, we proposed that the brain response to acupuncture is dependent on the brain functional status, while further investigation is needed to provide more evidence in support of this proposition.

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