Mortal Body, Immortal Mind

2012 ◽  
Vol 17 (1) ◽  
pp. 5-26
Author(s):  
Hans Goller

Neuroscientists keep telling us that the brain produces consciousness and consciousness does not survive brain death because it ceases when brain activity ceases. Research findings on near-death-experiences during cardiac arrest contradict this widely held conviction. They raise perplexing questions with regard to our current understanding of the relationship between consciousness and brain functions. Reports on veridical perceptions during out-of-body experiences suggest that consciousness may be experienced independently of a functioning brain and that self-consciousness may continue even after the termination of brain activity. Data on studies of near-death-experiences could be an incentive to develop alternative theories of the body-mind relation as seen in contemporary neuroscience.

Author(s):  
Jens Schlieter

This chapter outlines how the term “out-of-the-body experience” emerged in spiritualist and parapsychological literature. As is shown, “psychical researchers” such as Frederic W. Myers and William James made a significant contribution. The chapter also deals with the “filter” theory or “transmission” theory, i.e., the idea of the brain as a means for the inhibition of consciousness. This theory, as is shown, has been developed in close interaction with phenomena “near death”—in particular, the “panoramic life review.” The filter theory, discussed in subsequent chapters 2.6. and 2.7, too, is still favored by many recent protagonists of near-death experiences (e.g., Moody). Finally, the chapter turns to the increase of autoscopic out-of-body experiences, discussed as a phenomenon attesting a changing relationship of the disembodied consciousness toward its own body.


Author(s):  
Rollin McCraty

As pervasive and vital as they are in human experience, emotions have long remained an enigma to science. This chapter explores recent scientific advances that clarify central controversies in the study of emotion, including the relationship between intellect and emotion and the historical debate on the source of emotional experience. Particular attention is given to the intriguing body of research illuminating the critical role of ascending input from the body to the brain in the generation and perception of emotions. This discussion culminates in the presentation of a new, systems-oriented model of emotion in which the brain functions as a complex pattern-matching system, continually processing input from both the external and internal environments. From this perspective, it is shown that the heart is a key component of the emotional system, thus providing a physiological basis for the long-acknowledged link between the heart and our emotional life.


2021 ◽  
Vol 15 ◽  
Author(s):  
Supat Saetia ◽  
Natsue Yoshimura ◽  
Yasuharu Koike

Studying brain function is a challenging task. In the past, we could only study brain anatomical structures post-mortem, or infer brain functions from clinical data of patients with a brain injury. Nowadays technology, such as functional magnetic resonance imaging (fMRI), enable non-invasive brain activity observation. Several approaches have been proposed to interpret brain activity data. The brain connectivity model is a graphical tool that represents the interaction between brain regions, during certain states. It depicts how a brain region cause changes to other parts of the brain, which can be implied as information flow. This model can be used to help interpret how the brain works. There are several mathematical frameworks that can be used to infer the connectivity model from brain activity signals. Granger causality is one such approach and is one of the first that has been applied to brain activity data. However, due to the concept of the framework, such as the use of pairwise correlation, combined with the limitation of brain activity data such as low temporal resolution in case of fMRI signal, makes the interpretation of the connectivity difficult. We therefore propose the application of the Tigramite causal discovery framework on fMRI data. The Tigramite framework uses measures such as causal effect to analyze causal relations in the system. This enables the framework to identify both direct and indirect pathways or connectivities. In this paper, we applied the framework to the Human Connectome Project motor task-fMRI dataset. We then present the results and discuss how the framework improves interpretability of the connectivity model. We hope that this framework will help us understand more complex brain functions such as memory, consciousness, or the resting-state of the brain, in the future.


Author(s):  
M.P. Sutunkova ◽  
B.A. Katsnelson ◽  
L.I. Privalova ◽  
S.N. Solovjeva ◽  
V.B. Gurvich ◽  
...  

We conducted a comparative assessment of the nickel oxide nanoparticles toxicity (NiO) of two sizes (11 and 25 nm) according to a number of indicators of the body state after repeated intraperitoneal injections of these particles suspensions. At equal mass doses, NiO nanoparticles have been found to cause various manifestations of systemic subchronic toxicity with a particularly pronounced effect on liver, kidney function, the body’s antioxidant system, lipid metabolism, white and red blood, redox metabolism, spleen damage, and some disorders of nervous activity allegedly related to the possibility of nickel penetration into the brain from the blood. The relationship between the diameter and toxicity of particles is ambiguous, which may be due to differences in toxicokinetics, which is controlled by both physiological mechanisms and direct penetration of nanoparticles through biological barriers and, finally, unequal solubility.


2014 ◽  
Vol 9 (2) ◽  
pp. 154-164 ◽  
Author(s):  
Danya Glaser

Purpose – The purpose of this paper is to outline brain structure and development, the relationship between environment and brain development and implications for practice. Design/methodology/approach – The paper is based on a selected review of the literature and clinical experience. Findings – While genetics determine the sequence of brain maturation, the nature of brain development and functioning is determined by the young child's caregiving environment, to which the developing brain constantly adapts. The absence of input during sensitive periods may lead to later reduced functioning. There is an undoubted immediate equivalence between every mind function – emotion, cognition, behaviour and brain activity, although the precise location of this in the brain is only very partially determinable, since brain connections and function are extremely complex. Originality/value – This paper provides an overview of key issues in neurodevelopment relating to the development of young children, and implications for policy and practice.


2016 ◽  
Vol 371 (1705) ◽  
pp. 20160278 ◽  
Author(s):  
Nikolaus Kriegeskorte ◽  
Jörn Diedrichsen

High-resolution functional imaging is providing increasingly rich measurements of brain activity in animals and humans. A major challenge is to leverage such data to gain insight into the brain's computational mechanisms. The first step is to define candidate brain-computational models (BCMs) that can perform the behavioural task in question. We would then like to infer which of the candidate BCMs best accounts for measured brain-activity data. Here we describe a method that complements each BCM by a measurement model (MM), which simulates the way the brain-activity measurements reflect neuronal activity (e.g. local averaging in functional magnetic resonance imaging (fMRI) voxels or sparse sampling in array recordings). The resulting generative model (BCM-MM) produces simulated measurements. To avoid having to fit the MM to predict each individual measurement channel of the brain-activity data, we compare the measured and predicted data at the level of summary statistics. We describe a novel particular implementation of this approach, called probabilistic representational similarity analysis (pRSA) with MMs, which uses representational dissimilarity matrices (RDMs) as the summary statistics. We validate this method by simulations of fMRI measurements (locally averaging voxels) based on a deep convolutional neural network for visual object recognition. Results indicate that the way the measurements sample the activity patterns strongly affects the apparent representational dissimilarities. However, modelling of the measurement process can account for these effects, and different BCMs remain distinguishable even under substantial noise. The pRSA method enables us to perform Bayesian inference on the set of BCMs and to recognize the data-generating model in each case. This article is part of the themed issue ‘Interpreting BOLD: a dialogue between cognitive and cellular neuroscience’.


2018 ◽  
Vol 2 (4) ◽  
pp. 542-566
Author(s):  
Jessica Wright

In late antique theological texts, metaphors of the brain were useful tools for talking about forms of governance: cosmic, political, and domestic; failed and successful; interior discipline and social control. These metaphors were grounded in a common philosophical analogy between the body and the city, and were also supported by the ancient medical concept of the brain as the source of the sensory and motor nerves. Often the brain was imagined as a monarch or civic official, governing the body from the head as from an acropolis or royal house. This article examines two unconventional metaphors of the brain in the work of the fifth-century Greco-Syrian bishop Theodoret of Cyrrhus—the brain as a treasure within the acropolis, and the brain as a node in an urban aqueduct—both of which adapt the structural metaphor of governance to reflect the changing political and economic circumstances of imperial Christianity. Drawing upon medical theories of the brain, Theodoret expands upon the conventional governance metaphor of brain function to encompass the economic and the spiritual responsibilities of the bishop-administrator. Just as architectural structures (acropolis, aqueduct) contain and distribute valuable resources (treasure, water) within the city, so the brain accumulates and redistributes nourishing substances (marrow, blood, pneuma) within the body; and just as the brain functions as a site for the transformation of material resources (body) into spiritual goods (mind), so the bishop stands as a point of mediation between earthly wealth and the treasures of heaven.


Author(s):  
Luis Raul Meza Mendoza ◽  
María Elena Moya Martinez ◽  
Angelica Maria Sabando Suarez

Since the beginning of humanity, an attempt has been made to explain the way in which man acquires knowledge, the way in which he assimilates, processes and executes it in order to develop the teaching-learning process that people need throughout of his life, which forces to change the learning schemes using new study methodologies, such as neuroscience, which is a discipline that studies the functioning of the brain, the relationship of neurons to the formation of synapses creating immediate responses which transmits to the body voluntarily and involuntarily, in addition to controlling the central and peripheral nervous system with their respective functions. It is necessary to change the traditional scheme and implement new strategies that allow the teacher to venture into neuroscience, in order to individually understand the different learning processes that students do. As some authors of neuroscience say, the brain performs processes of acquisition, storage and evocation of information, which form new knowledge schemes that generate changes in the attitude of the human being, for this reason teachers are responsible for taking advantage of what It is known about the multiple functions of the brain and be clear about the various ways of acquiring knowledge.


2019 ◽  
Vol 4 (2) ◽  
pp. 114-129
Author(s):  
Hamam Burhanuddin

The study in this paper are explain about the studies of medical (medicine) blood type have the same relationship to human character because the blood producing antibodies and antigens. It could determine a person helpless hold strong or weak body, has an allergy to something or not, in the blood also contains various nutrients (like protein) and also the oxygen being supplied to the brain and nerves and body affect performance someone will then be emanated from the attitude of the person and social interaction. As has been explained, but keep in mind, there is blood in the genes, the nature of which is carried in the body/genotif rightly so it is, but we can not ignore the fenotif/nature arising or visible, this trait appear due to interaction between genes and the environment, so even if the person is smart in the intelligentsia and emotional, but grew up in a bad environment is going to be a bad trait. The theory of personality based on blood type can be used as a reference in parenting children through an understanding of the fundamental principles of the application of personality accompanied by parenting. Furthermore, the taking of steps in the care tailored to the stage of development of the child, in the Qur'an explicitly did not mentioned paragraph that discusses about blood type, but in the Qur'an there are blood (ad-Dam), Islamic studies in the study of Children is seen as a mandate from God, forming 3-dimensional relationships, with parents as the central figure. First, her parents relationship with God that is backed by the presence of children. Second, the relationship of the child (which still need a lot of guidance) with God through his parents. Third, the relationship of the child with both parents under the tutelage and guidance of God.


2020 ◽  
Author(s):  
Nikhil Goyal ◽  
Dustin Moraczewski ◽  
Peter Bandettini ◽  
Emily S. Finn ◽  
Adam Thomas

AbstractUnderstanding brain functionality and predicting human behavior based on functional brain activity is a major goal of neuroscience. Numerous studies have been conducted to investigate the relationship between functional brain activity and attention, subject characteristics, autism, psychiatric disorders, and more. By modeling brain activity data as networks, researchers can leverage the mathematical tools of graph and network theory to probe these relationships. In their landmark study, Smith et al. (2015) analyzed the relationship of young adult connectomes and subject measures, using data from the Human Connectome Project (HCP). Using canonical correlation analysis (CCA), Smith et al. found that there was a single prominent CCA mode which explained a statistically significant percentage of the observed variance in connectomes and subject measures. They also found a strong positive correlation of 0.87 between the primary CCA mode connectome and subject measure weights. In this study, we computationally replicate the findings of the original study in both the HCP 500 and HCP 1200 subject releases. The exact computational replication in the HCP 500 dataset was a success, validating our analysis pipeline for extension studies. The extended replication in the larger HCP 1200 dataset was partially successful and demonstrated a dominant primary mode.


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