The Dynamic Role of Breathing and Cellular Membrane Potentials in the Experience of Consciousness

Understanding the mechanics of consciousness remains one of the most important challenges in modern cognitive science. One key step toward understanding consciousness is to associate unconscious physiological processes with subjective experiences of sensory, motor, and emotional contents. This article explores the role of various cellular membrane potential differences and how they give rise to the dynamic infrastructure of conscious experience. This article explains that consciousness is a body-wide, biological process not limited to individual organs because the mind and body are unified as one entity; therefore, no single location of consciousness can be pinpointed. Consciousness exists throughout the entire body, and unified consciousness is experienced and maintained through dynamic repolarization during inhalation and expiration. Extant knowledge is reviewed to provide insight into how differences in cellular membrane potential play a vital role in the triggering of neural and non-neural oscillations. The role of dynamic cellular membrane potentials in the activity of the central nervous system, peripheral nervous system, cardiorespiratory system, and various other tissues (such as muscles and sensory organs) in the physiology of consciousness is also explored. Inspiration and expiration are accompanied by oscillating membrane potentials throughout all cells and play a vital role in subconscious human perception of feelings and states of mind. In addition, the role of the brainstem, hypothalamus, and complete nervous system (central, peripheral, and autonomic)within the mind-body space combine to allow consciousness to emerge and to come alive. This concept departs from the notion that the brain is the only organ that gives rise to consciousness

Kentucky Water Resources Research Institute Annual Technical Report FY 1998

This document consolidates the reporting requirements of the base grant and regional competitive grant awards in a single technical report which includes: 1) a synopsis of each ongoing research project and of each research project completed during the period, 2) a list of reports published, 3) a brief description of information transfer activities, 4) a summary of student support during the reporting period, and 5) notable achievements and awards during the year

From biological neural networks to thinking machines: Transitioning biological organizational principles to computer technology

The three-dimensional organization of the vestibular macula is under study by computer assisted reconstruction and simulation methods as a model for more complex neural systems. One goal of this research is to transition knowledge of biological neural network architecture and functioning to computer technology, to contribute to the development of thinking computers. Maculas are organized as weighted neural networks for parallel distributed processing of information. The network is characterized by non-linearity of its terminal/receptive fields. Wiring appears to develop through constrained randomness. A further property is the presence of two main circuits, highly channeled and distributed modifying, that are connected through feedforward-feedback collaterals and biasing subcircuit. Computer simulations demonstrate that differences in geometry of the feedback (afferent) collaterals affects the timing and the magnitude of voltage changes delivered to the spike initiation zone. Feedforward (efferent) collaterals act as voltage followers and likely inhibit neurons of the distributed modifying circuit. These results illustrate the importance of feedforward-feedback loops, of timing, and of inhibition in refining neural network output. They also suggest that it is the distributed modifying network that is most involved in adaptation, memory, and learning. Tests of macular adaptation, through hyper- and microgravitational studies, support this hypothesis since synapses in the distributed modifying circuit, but not the channeled circuit, are altered. Transitioning knowledge of biological systems to computer technology, however, remains problematical

Restoring the encoding properties of a stochastic neuron model by an exogenous noise

Here we evaluate the possibility of improving the encoding properties of an impaired neuronal system by superimposing an exogenous noise to an external electric stimulation signal. The approach is based on the use of mathematical neuron models consisting of stochastic HH-like circuit, where the impairment of the endogenous presynaptic inputs is described as a subthreshold injected current and the exogenous stimulation signal is a sinusoidal voltage perturbation across the membrane. Our results indicate that a correlated Gaussian noise, added to the sinusoidal signal can significantly increase the encoding properties of the impaired system, through the Stochastic Resonance (SR) phenomenon. These results suggest that an exogenous noise, suitably tailored, could improve the efficacy of those stimulation techniques used in neuronal systems, where the presynaptic sensory neurons are impaired and have to be artificially bypassed

Investigating biocomplexity through the agent-based paradigm.

Capturing the dynamism that pervades biological systems requires a computational approach that can accommodate both the continuous features of the system environment as well as the flexible and heterogeneous nature of component interactions. This presents a serious challenge for the more traditional mathematical approaches that assume component homogeneity to relate system observables using mathematical equations. While the homogeneity condition does not lead to loss of accuracy while simulating various continua, it fails to offer detailed solutions when applied to systems with dynamically interacting heterogeneous components. As the functionality and architecture of most biological systems is a product of multi-faceted individual interactions at the sub-system level, continuum models rarely offer much beyond qualitative similarity. Agent-based modelling is a class of algorithmic computational approaches that rely on interactions between Turing-complete finite-state machines--or agents--to simulate, from the bottom-up, macroscopic properties of a system. In recognizing the heterogeneity condition, they offer suitable ontologies to the system components being modelled, thereby succeeding where their continuum counterparts tend to struggle. Furthermore, being inherently hierarchical, they are quite amenable to coupling with other computational paradigms. The integration of any agent-based framework with continuum models is arguably the most elegant and precise way of representing biological systems. Although in its nascence, agent-based modelling has been utilized to model biological complexity across a broad range of biological scales (from cells to societies). In this article, we explore the reasons that make agent-based modelling the most precise approach to model biological systems that tend to be non-linear and complex

Calcium imaging of the entire muscle system of Hydra reveals extensive cellular multifunctionality

Hydra vulgaris is a Cnidarian species with a life cycle containing only a polyp stage, and with a simple body plan in which ectodermal and endodermal epitheliomuscular cells play many roles. These two epithelia generate motion of the polyp by exerting contractile force on myonemes. The function of this musculature was studied on a system scale using whole-animal calcium imaging to measure functional activity in all epitheliomuscular cells simultaneously. This approach maps the diversity of functional activation patterns underlying the behavior of Hydra, and reveals that individual epitheliomuscular cells participate in multiple patterns using at least two different types of calcium signaling that propagate by different mechanisms and at vastly different rates. These studies establish the functional basis for the epithelial muscle systems of Cnidaria, revealing new operational principles and deep evolutionary ties to mechanisms of contractile activity that exist elsewhere in Metazoa

Conjugated Polymers in Bioelectronics.

The emerging field of organic bioelectronics bridges the electronic world of organic-semiconductor-based devices with the soft, predominantly ionic world of biology. This crosstalk can occur in both directions. For example, a biochemical reaction may change the doping state of an organic material, generating an electronic readout. Conversely, an electronic signal from a device may stimulate a biological event. Cutting-edge research in this field results in the development of a broad variety of meaningful applications, from biosensors and drug delivery systems to health monitoring devices and brain-machine interfaces. Conjugated polymers share similarities in chemical "nature" with biological molecules and can be engineered on various forms, including hydrogels that have Young's moduli similar to those of soft tissues and are ionically conducting. The structure of organic materials can be tuned through synthetic chemistry, and their biological properties can be controlled using a variety of functionalization strategies. Finally, organic electronic materials can be integrated with a variety of mechanical supports, giving rise to devices with form factors that enable integration with biological systems. While these developments are innovative and promising, it is important to note that the field is still in its infancy, with many unknowns and immense scope for exploration and highly collaborative research. The first part of this Account details the unique properties that render conjugated polymers excellent biointerfacing materials. We then offer an overview of the most common conjugated polymers that have been used as active layers in various organic bioelectronics devices, highlighting the importance of developing new materials. These materials are the most popular ethylenedioxythiophene derivatives as well as conjugated polyelectrolytes and ion-free organic semiconductors functionalized for the biological interface. We then discuss several applications and operation principles of state-of-the-art bioelectronics devices. These devices include electrodes applied to sense/trigger electrophysiological activity of cells as well as electrolyte-gated field-effect and electrochemical transistors used for sensing of biochemical markers. Another prime application example of conjugated polymers is cell actuators. External modulation of the redox state of the underlying conjugated polymer films controls the adhesion behavior and viability of cells. These smart surfaces can be also designed in the form of three-dimensional architectures because of the processability of conjugated polymers. As such, cell-loaded scaffolds based on electroactive polymers enable integrated sensing or stimulation within the engineered tissue itself. A last application example is organic neuromorphic devices, an alternative computing architecture that takes inspiration from biology and, in particular, from the way the brain works. Leveraging ion redistribution inside a conjugated polymer upon application of an electrical field and its coupling with electronic charges, conjugated polymers can be engineered to act as artificial neurons or synapses with complex, history-dependent behavior. We conclude this Account by highlighting main factors that need to be considered for the design of a conjugated polymer for applications in bioelectronics-although there can be various figures of merit given the broad range of applications, as emphasized in this Account

From skin to brain:modelling a whole-body coordination scenario of nervous system origin

Nervous systems are ubiquitous in the animal kingdom, yet the evolutionary origin of this essential feature, the basis of human cognition, is unclear. Since the emergence of nervous systems happened at least 430 but likely as much as 600 million years ago, there is little hard evidence to illustrate this evolutionary process. To understand the evolutionary origin of nervous systems, theoretical frameworks putting what evidence there is into context are crucial.One such framework, the interal coordination view, posits that nervous systems arose in order to allow early animals to coordinate their multicellular bodies as a whole. In this research, we explored potential intermediate evolutionary steps on the road to a true nervous system. To that end, we used computational models of very simple simulated animals. In these simulations, we investigated mechanisms short of nervous systems, using (simulated) biological building blocks which would likely have been present in animals at the time nervous systems evolved.These models demonstrate that even very rudimentary mechanisms have the potential of providing useful coordination to early animals, thereby supporting the internal coordination view of nervous system origin: nervous systems likely evolved to allow whole-body coordination

Towards Retinal Repair: Bioelectric Assessment of Retinal Pigment Epithelium in vitro and Electrode Materials for Retinal Implants

The aim of this thesis was to develop methods for future solutions to prevent eye diseases caused by the dysfunctions of retinal pigment epithelial (RPE) cells and to restore the vision of blind patients. On a cellular level, the degeneration of RPE cells is often the prime cause of eye diseases such as age-related macular degeneration and some forms of retinitis pigmentosa. RPE cell replacement therapy may provide new solutions for the prevention of eye diseases that lead to blindness. RPE cells differentiated from pluripotent stem cells provide a promising source for cell replacement therapy. However, the functionality of the differentiated cells is still not fully proven. One objective of this thesis was to provide solutions for testing the functionality of differentiated RPE cells. If blindness cannot be cured, artificial vision provided by retinal implant may be considered. The second objective of this thesis was to characterize the electrochemical properties of the different electrode materials used in retinal implants. The electrode materials used in retinal implants should be carefully considered in order to increase the resolution of the implant and to provide stable, safe, and biocompatible charge injection. All the methods used and developed in this thesis were based on bioelectrical phenomena. The electrochemical characterization of five different electrode materials used in retinal implants used electrical impedance spectroscopy (EIS) and cyclic voltammetry (CV) measurements. We considered the effect of electrode size and material on charge capacity and impedance. Atomic force microscopy (AFM) was used to study the surface properties of the studied electrodes. The testing of the materials was done using exactly the same measurement conditions and electrode producing methods to provide easily comparable data. In this thesis, the functionality of RPE cells differentiated from human embryonic stem cells (hESC-RPE) was studied with two different methods. EIS was used to compare the electrical properties between two different RPE cell lines (immortalized human RPE cell line (ARPE-19) and hESC-RPE). To our knowledge, EIS measurements of RPE cells have not been published before. EIS was also used to find out how the barrier properties of hESC-RPE cells differ when the cells are in different stages of maturity. In addition, we developed a method that could be used to study the functionality of hESC-RPE cells with in vitro electroretinography (ERG) measurements: Our hypothesis is that RPE cells enhance the ERG response of the mouse retina and enable longer culturing of the functional retina in vitro. Comparing the ERG responses of a mouse retina alone and of a mouse retina cultured together with hESC-RPE cells could reveal the functionality of hESC-RPE cells. The EIS measurements were in accordance with biological analyses. The hESC-RPE cells resembled morphologically mature RPE, and thus created high transepithelial resistance (TER) indicating high integrity and tight junction formation. The EIS measurements revealed that during the maturation the TER of the cell culture increases, peak phase diagram shifts to lower frequencies, and the capacitance of the epithelium increases. Permeability measurements verified that EIS measurements reveal the tight junction failures and integrity decrease caused by calcium chelation. With the developed setup we were able to measure ERG responses from both the co-culture of retina and RPE and the retina cultured alone. However, due to limited sample size and possibly due to short co-culture time in our culture setup as yet we were not able to prove the hypothesis by showing that RPE cells would enhance the ERG response of the retina in vitro. Both the retina cultured alone and the co-culture responded to light stimulus after one day of culturing. CV and EIS measurements of different electrodes showed that iridium-black (Ir-b) and platinum-black (Pt-b) electrodes were superior, i.e. they had higher charge injection capacity and lower impedance when compared to other tested materials (gold (Au), titaniumnitrate (TiN), titanium (Ti)). Based on our findings we can conclude that novel biocompatible electrode materials that have the potential to be used in implantation are available. In the same way as in this thesis, the electrochemical testing of electrode materials should be done using similar testing methods for every material to enable easy comparison of the results between different materials. At the moment, cell replacement therapy and the use of RPE cells is seriously considered as a choice for eye disease treatment. Our results suggest that EIS is useful when evaluating the overall maturity, integrity, and functionality of the RPE cell culture. In forthcoming cell transplantation therapies, EIS could provide a means to test the validity of stem cell-derived RPE non-invasively and aseptically before implantation. Our initial tests show that studies to test the ability of RPE cells to rescue the photoreceptors in a mouse model by testing ERG responses in vitro should be continued. Even though our results did not produce conclusive evidence, the co-culture of the retina and hESC-RPE cells may be a useful in vitro model for investigating the RPE cell replacement therapy and possible drug releasing materials for the retina