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At least 199 records · Page 11Linked to original sources
PubMed1994

A group-theoretic approach to rings of coupled biological oscillators.

In this paper, a general approach for studying rings of coupled biological oscillators is presented. This approach, which is group-theoretic in nature, is based on the finding that symmetric ring networks of coupled non-linear oscillators possess generic patterns of phase-locked oscillations. The associated analysis is independent of the mathematical details of the oscillators' intrinsic dynamics and the nature of the coupling between them. The present approach thus provides a framework for distinguishing universal dynamic behaviour from that which depends upon further structure. In this study, the typical oscillation patterns for the general case of a symmetric ring of n coupled non-linear oscillators and the specific cases of three- and five-membered rings are considered. Transitions between different patterns of activity are modelled as symmetry-breaking bifurcations. The effects of one-way coupling in a ring network and the differences between discrete and continuous systems are discussed. The theoretical predictions for symmetric ring networks are compared with physiological observations and numerical simulations. This comparison is limited to two examples: neuronal networks and mammalian intestinal activity. The implications of the present approach for the development of physiologically meaningful oscillator models are discussed.

Animals↗
PubMed2002

The central role of the trans-Golgi network as a gateway of the early secretory pathway: physiologic vs nonphysiologic protein transit.

The current review focuses upon recent advances concerning the interrelationship between the ER and the trans-Golgi network (ER-TGN), the ER and the nucleus (ER-nucleus), and the ER-ubiquitin-proteasomal pathways at the level of basic cell biology. The overall emphasis of this paper centers upon the high likelihood that measurements of ER-associated protein or gene expression levels are not representative of a strict ER alone phenotype. Rather, that ER phenotype reflects a synthesis of phenotypes derived from intracellular compartments and phosphorylated messengers in rapport with the ER. The ER-TGN, ER-nuclear, and ER-ubiquitin-proteasomal transit paths share the ability to feed into the decision of whether TGN vesicles can interact with specific phosphorylated residues in order to drive physiologic, constitutive, anterograde traffic, retrograde traffic, and degradation. TGN vesicles can: (a) traffic to endosomes versus plasma membrane phosphodomains depending upon the presence or the absence of select Golgi-localized gamma-ear containing ADP ribosylation factor-binding proteins and/or protein kinase D; (b) be maintained within the TGN in the presence of a phosphosorting acidic cluster motif adaptor; (c) transit back to the ER via specialized TGN/ER glycosyltransferases (which modulate phosphorylated proteins); (d) transit to the nucleus via phosphatidylinositol-4-kinase-associated phosphodomains; and/or (e) retrotranslocate to the ubiquitin-proteasome pathway, which is equipped with E3 ligase potential, in order to further regulate endosomal versus plasma membrane traffic. The TGN is also a critical gateway for protein transit in the sense that, as a function of sorting within this compartment, proteins are sent to the axon, cell body, or dendrites. As the decision to sort to the axon versus the somatodendritic compartment is intimately tied to TGN function, future understanding of TGN biology at the levels of neurogenesis and protein sorting is predicted to also effectively increase our understanding of synaptic sorting/regulation.

Animals↗
PubMed2002

Somatostatin inhibits thalamic network oscillations in vitro: actions on the GABAergic neurons of the reticular nucleus.

We examined the effects of somatostatin (SST) on neurons in the thalamic reticular nucleus (RT) using whole-cell patch-clamp techniques applied to visualized neurons in rat thalamic slices. SST, acting via sst(5) receptors and pertussis toxin-sensitive G-proteins, activated an inwardly rectifying K(+) (GIRK) current in 20 of 28 recorded cells to increase input conductance 15 +/- 3% above control and inhibited N-type Ca(2+) currents in 17 of 24 neurons via voltage-dependent mechanisms. SST reversibly depressed evoked EPSCs (eEPSCs) to 37 +/- 8% of control without altering their kinetics. SST-mediated inhibition of eEPSCs showed short-term relief from block during 25 Hz stimulus trains. SST also reduced the frequency (33 +/- 8%) but not the amplitude of miniature EPSCs (mEPSCs). These data indicate that SST mediates presynaptic inhibition of glutamate release onto RT neurons. In current-clamp recordings, SST preferentially inhibited burst discharges mediated by near-threshold corticothalamic EPSPs and intracellularly applied depolarizing currents. SST had powerful effects on in vitro intrathalamic rhythms, which included a shortening of the duration and a reduction in spike count within each oscillatory event. Furthermore, there was a paradoxical increase in the synchrony of epileptiform oscillations, likely mediated by a suppression of the responses to weak synaptic inputs in RT. We conclude that SST suppresses discharges in RT neurons, via presynaptic inhibition of glutamate release and postsynaptic activation of GIRK channels, leading to the dampening of both spindle-like and epileptiform thalamic network oscillations. SST may act as an important endogenous regulator of physiological and pathological thalamocortical network activities.

Animals↗
PubMed2004

An integrative neural network for detecting inertial motion and head orientation.

The ability to navigate in the world and execute appropriate behavioral responses depends critically on the contribution of the vestibular system to the detection of motion and spatial orientation. A complicating factor is that otolith afferents equivalently encode inertial and gravitational accelerations. Recent studies have demonstrated that the brain can resolve this sensory ambiguity by combining signals from both the otoliths and semicircular canal sensors, although it remains unknown how the brain integrates these sensory contributions to perform the nonlinear vector computations required to accurately detect head movement in space. Here, we illustrate how a physiologically relevant, nonlinear integrative neural network could be used to perform the required computations for inertial motion detection along the interaural head axis. The proposed model not only can simulate recent behavioral observations, including a translational vestibuloocular reflex driven by the semicircular canals, but also accounts for several previously unexplained characteristics of central neural responses such as complex otolith-canal convergence patterns and the prevalence of dynamically processed otolith signals. A key model prediction, implied by the required computations for tilt-translation discrimination, is a coordinate transformation of canal signals from a head-fixed to a spatial reference frame. As a result, cell responses may reflect canal signal contributions that cannot be easily detected or distinguished from otolith signals. New experimental protocols are proposed to characterize these cells and identify their contributions to spatial motion estimation. The proposed theoretical framework makes an essential first link between the computations for inertial acceleration detection derived from the physical laws of motion and the neural response properties predicted in a physiologically realistic network implementation.

Acceleration↗
PubMed1992

Generation of helper T cells that recognize a cross-reactive idiotype through a network mechanism.

T cells that recognize the cross-reactive idiotype expressed on the heavy (H) chain of M104E (IgM, lambda 1) were induced in BALB/c mice by immunization with Dextran B-1355. T cells derived from mice immunized with 1 mg of Dextran B-1355 showed a marked proliferative response against M104E, whereas T cells from mice immunized with Ficoll or lesser amounts of Dextran B-1355 did not. BCL1Id, which had an immunoglobulin isotype identical to M104E, did not induce proliferation of the T cells. These T cells also proliferated against J558 (IgA, lambda 1) which shared the cross-reactive idiotype of the anti-alpha (1----3) glucosidic linkage antibody with M104E on the H chain. The T cells proliferated more efficiently against F(ab')2-104E, Fab-104E and H104E, the H chain of M104E, than against intact M104E. The T cell proliferative response against the idiotype on M104E or even H104E required macrophages as antigen-presenting cells (APC) and the response was inhibited when APC were treated with NH4Cl or chloroquine, inhibitors of antigen processing. Moreover, anti-CD4 antibody or anti-Ia antibody inhibited the proliferative response. These results indicated that anti-idiotypic T cells of the helper type, which recognized a cross-reactive idiotype associated with Ia molecules in processed form, could be induced physiologically through a network mechanism.

Animals↗
PubMed1997

Study of human forearm posture maintenance with a physiologically based robotic arm and spinal level neural controller.

The goals of this research are: (1) to apply knowledge of human neuro-musculo-skeletal motion control to a biomechanically designed, neural controlled, 'anthroform' robotic arm system, (2) to demonstrate that such a system is capable of responses that match those of the human arm reasonably well in comparable experiments, and (3) to utilize the anthroform arm system to study some controversial issues and to predict new phenomena of the human motion control system. A physiologically analogous artificial neural network controller and an anatomically accurate robotic testing elbow are applied in this study. In order to build the physical elbow system to have mechanical properties as close as possible to the human arm, McKibben pneumatic artificial muscles, force sensors, and mechanical muscle spindles are integrated in the system with anatomically accurate muscle attachment points. A physiologically analogous, artificial neural network controller is used to emulate the behavior of spinal segmental reflex circuitry including Ia and Ib afferent feedbacks. Systematic experiments of elbow posture maintenance are performed and compared with physiological experimental data. New experiments are performed in which responses to torque perturbation are measured when selected afferent pathways are blocked. A 'covariance diagram' is introduced. And a linear model is used to help to analyze the roles of system components. The results show that muscle co-contraction and Ia afference with gamma dynamic motoneuron excitation are two efficient ways to increase joint stiffness and damping, which in turn reduces the mechanical sensitivity of the joint to external perturbation and shortens the settling time of the system.

Afferent Pathways↗
PubMed2004

Remote sensing of intraperitoneal parasitism by the host's brain: regional changes of c-fos gene expression in the brain of feminized cysticercotic male mice.

Experimental intraperitoneal Taenia crassiceps cysticercosis in mice exhibits distinct genetical, immunological and endocrinological features possibly resulting from the complex interactive network of their physiological systems. Very notable is the tendency of parasites to grow faster in hosts of the female sex. It is also remarkable in the feminization process that the infection induces in chronically infected male mice, characterized by their estrogenization, deandrogenization and loss of sexual and aggressive patterns of behaviour. The proto-oncogene c-fos is a sex steroid-regulated transcription factor gene, expressed basally and upon stimulation by many organisms. In the CNS of rodents, c-fos is found expressed in association to sexual stimulation and to various immunological and stressful events. Hence, we suspected that changes in c-fos expression in the brain could be involved in the feminization of the infected male mice. Indeed, it was found that c-fos expression increased at different times during infection in the hypothalamus, hippocampus, less so in the preoptic area and cortex, and not in several other organs. The significant and distinctive regional changes of c-fos in the CNS of infected mice indicate that the brain of the host senses intraperitoneal cysticercosis and may also announce its active participation in the regulation of the host-parasite relationship. Possibly, the host's CNS activity is involved in the network that regulates the estrogenization and deandrogenization observed in the chronically infected male mice, as well as in the behavioural and immunological peculiarities observed in this parasitic infection.

Animals↗
PubMed1992

[The phenomenon of hearing: an interdisciplinary discussion. II].

This part of the paper deals with the neurophysiological background of speech analysis and hearing of music. Single vowel- and consonant-detector cells could be clearly separated at the colliculus and geniculate level (Kallert, Keidel). Musical stimulation is decoded at three levels: hair cells, geniculate, and auditory cortex. Human cortical evoked potentials represent rhythm, consonance, and (as DC-shift) the emotional content of music. Marked harmonics, even of single hair-cell vibrations and in single units of medial geniculate in combination with clock-cell networks, are the physiological basis of "harmony" in music. Dissonant stimuli are detectable at the cortical level in man (Finkenzeller, Keidel).

Auditory Cortex↗
PubMed1996

Neural networks and fuzzy logic in clinical laboratory computing with application to integrated monitoring.

We present an analysis of the computational features of neural networks and fuzzy logic architectures which attempts to explain their recent popularity as well as their drawbacks. Based upon many reports in several fields, we identify the key computational requirements in the clinical laboratory setting, and review several classical tools. In particular we make the observation that all of these needs may be viewed as a search for an appropriate mathematical mapping. We suggest that the neural networks promise as a universal function approximant is the main source of its apparent attractivity. We then describe a customized neural network architecture as a non-linear, adaptive signal processor for integrated monitoring. This architecture is employed in the Adaptive Real-Time Anesthesiologist Associate (ARTAA) system, which has been developed as a joint project at the Department of Anesthesiology, Albert Einstein Medical Center and the Electrical and Computer Engineering Department, Drexel University in Philadelphia, USA. In this application the neural network realizes a non-linear scalar map from the set of physiological signals to a vital function status (VFS) indicator. The system is now under clinical testing.

Anesthesia↗
PubMed1994

Simultaneous single-cell recording and microdialysis within the same brain site in freely behaving rats: a novel neurobiological method.

We present a method for performing intracerebral microdialysis in freely behaving rats while recording the firing of neurons within the dialysis site. Studying hippocampal theta cells and complex-spike cells with this technique, it has been found that: (1) when the microdialysis fluid contained only artificial cerebrospinal fluid, both types of neurons displayed normal electrical activity, (2) the simultaneous single-cell recording/microdialysis procedure could be readily performed for as long as 3 days, and (3) inclusion of drugs into the microdialysis fluid, at appropriate concentrations, caused clear changes in firing pattern. For example, microdialysis with 1% lidocaine completely abolished, whereas that with 50 mM K+ markedly increased, the neuronal electrical activity. These cellular changes developed without apparent EEG or behavioral manifestations and were reversible. In some of the experiments, the extracellular concentrations of glutamate and aspartate in the recording/dialysis site were also measured. The described method allows the extracellular environment of recorded brain cells to be manipulated by drugs delivered through the microdialysis probe and simultaneously allows determination of the neurochemical composition of that environment over a remarkably long period of time and in intact, physiologically functioning, neural network. Such studies will provide new insights into the molecular basis of neuronal activity in the brain in the context of behavior, including learning.

Animals↗
PubMed1995

Neuropoiesis: proposal for a connectionistic neurobiology.

Given current assumptions about the biology of neural organization, some connectionists believe that it may not be possible to accurately model the brain's neural architecture. We have identified five restrictive neurobiological dogmas that we believe have limited the exploration of more fundamental correlations between computational and biological neural networks. We postulate that: 1) the dendritic tree serves as a synapse storage device rather than a simple summation device; 2) connection strength between neurons depends on the number and location of synapses of similar weight, not on synapses of variable weights; 3) axonal sprouting occurs regularly in adult organisms; 4) the postsynaptic genome directly controls the presynaptic cell via mRNA, rather than indirectly by the expression of NCAMs, reverse neurotransmitters, etc.; 5) dendritic spines serve a trophic function by controlling development of new sprouts via a process we term retroduction. We entertain an alternative formulation of a computational neural element that is fully consistent with modern neuroscience research. We then show how our model neuron can learn under Hebbian conditions, and extend the model to explain non-Hebbian, one-trial learning. This work is significant because by stretching the theoretical boundaries of modern neuroscience, we show how connectionists can potentially create new, more biologically-based neural elements which, when, interconnected into networks, exhibit not only properties of existing backpropagation networks, but other physiological properties as well.

Adult↗
PubMed2006

The relationship between motor deficit and hemisphere activation balance after stroke: A 3T fMRI study.

Functional imaging during movement of the hand affected by a stroke has shown excess activation of the contralesional motor network, implying less physiological hemisphere activation balance. Although this may be adaptive, the relationship between the severity of motor deficit and the hemisphere activation balance for the four major cortical motor areas has not been systematically studied. We prospectively studied 19 right-handed patients with first-ever stroke (age range 61+/-10 years) in the stable phase of recovery (>3 months after onset), using auditory-paced index-thumb (IT) tapping of the affected hand at 1.25 Hz as the fMRI paradigm. The hemisphere activation balance for the primary motor (M1), primary somatosensory (S1), supplementary motor (SMA) and dorsal premotor (PMd) areas was measured by a modified weighted laterality index (wLI), and correlations with motor performance (assessed by the affected/unaffected ratio of maximum IT taps in 15 s, termed IT-R) were computed. There were statistically significant negative correlations between IT-R and the wLI for M1 and S1, such that the more the hemispheric balance shifted contralesionally, the worse the performance. Furthermore, worse performance was related to a greater amount of contralesional, but not ipsilesional, activation. No significant correlation between IT-R and the wLI was obtained for the SMA and PMd, which functionally have stronger bilateral organization. These findings suggest that the degree of recovery of fine finger motion after stroke is determined by the extent to which activation balance in the primary sensory motor areas--where most corticospinal fibers originate--departs from normality. This observation may have implications for therapy.

Aged↗
PubMed2005

Integrating gene and protein expression data: pattern analysis and profile mining.

Proteomics and functional genomics are emerging new research fields devoted to the study of the entire collection of proteins and mRNA transcripts (collectively known as gene products) that define a biological system. DNA microarrays are now a popular platform for measuring changes in messenger RNA transcript levels on a genome-wide scale, while gel-free shotgun profiling methods based on tandem mass spectrometry are increasingly being used to determine the identity, modification states, and relative abundance of large numbers of proteins. By defining the behavior of entire biological pathways and networks under various physiological states, these studies aim to extend traditional reductionist molecular genetic approaches regarding the biological roles of the vast array of uncharacterized gene products. A key goal is to determine how the information encoded by the myriad of expressed gene products is integrated at the molecular, cellular, and even whole organism level to create the dynamic biochemical processes and complex physiological controls that sustain life. While comparison of the complementary information contained in proteomic and mRNA data sets poses considerable analytical challenges, these efforts should provide added insight into the fundamental mechanisms underlying physiology, development, and the emergence of disease. Here, we outline several analytical approaches, methods, and tools that have proven to be helpful in the face of this important challenge.

Algorithms↗
PubMed2002

BACE1 interacts with nicastrin.

Beta-amyloid peptide (Abeta) is generated through the proteolytic cleavage of beta-amyloid precursor protein (APP) by beta- and gamma-secretases. The beta-secretase, BACE1, initiates Abeta formation followed by gamma-cleavage within the APP transmembrane domain. Although BACE1 localizes in the transGolgi network (TGN), its physiological substrates and modulators are not known. In addition, the relationship to other secretase(s) also remains unidentified. Here, we demonstrate that BACE1 binds to nicastrin, a component of gamma-secretase complexes, in vitro, and that nicastrin activates beta-secretase activity in COS-7 cells.

ADAM Proteins↗
PubMed1984

Electrical properties of normal and transformed mammalian cells.

The transmembrane potential difference, Em, and DC membrane resistance were measured in 3T3 and polyoma virus-transformed 3T3 cells. Em was a function of cell density and was -12 and -25 mV for the normal and transformed cells, respectively. The external concentrations of K+, Na+, and Cl were varied in order to study the nature of the differences between the two cell types. The relative permeability of ions was calculated to be: PNa/PK, 1.0; PCl/PK, 1.88; PNa/PCl, 0.53 for 3T3 cells, and 0.27, 1.75, and 0.15 for the transformed cells. In contrast to the normal cells, PNa/PK varied as a function of the external K+ concentration for the transformed cells. It was emphasized that the manipulation of variables directly affecting the electrical properties of cells also involves the indirect manipulation of a network of interconnected physiological determinants.

Animals↗
PubMed2003

Proposed link rates in the human brain.

There is increasing experimental evidence that neuronal synchronization is necessary for the large-scale integration of distributed neuronal activity to realize various time-dependent coherent neuronal assemblies in the brain. Phase synchronization seems a promising candidate to quantify the time-dependent, frequency specific, synchrony between simultaneously recorded electroencephalogram (EEG) signals that may partially reflect this former process. We introduce a link rate (LR) as a measure of the spatial-temporal incidence of phase synchronization and phase de-synchronization. The concept is exemplified in its application to the analysis of spontaneous phase synchronization. To this end, three scalp EEG recordings are used: a normal control, a patient suffering from epileptic seizures and a patient with diffuse brain damage due to anoxia, showing a burst-suppression EEG. In addition, the method is applied to surrogate data (white noise). We find in the normal control that LR(control)=13.90+/-0.04 (mean+/-S.E.M.), which is different from the surrogate data, where we find that LR(surr)=15.36+/-0.05. In the two pathological conditions, the LR is significantly and strongly reduced to LR(burst)=4.52+/-0.05 and LR(seizure)=5.40+/-0.08. The derived LR seems a sensitive measure to relevant changes in synchronization, as these occur in the dynamic process of generating different spatial-temporal networks, both in physiological and pathological conditions.

Brain↗
PubMed2003

[Peroperative desaturation during gynaecological laparoscopy-hysteroscopy: an unknown aetiology, pleural extravasation].

A 41-year-old patient presented several episodes of desaturation during a gynaecological laparoscopy. The major complication of this procedure is the venous air embolism. Several other side-effects have been reported: heart rate disorders, subcutaneous emphysema or pneumothorax. Pleural effusions during gynaecologic laparoscopy are apparently rare and the volume of effusion must be important to induce clinical symptoms. This fact can probably explain the frequent difficulty of diagnosis. The role of the diaphragmatic lymphatic network and other physiologic aspects are discussed in this article.

Adult↗
PubMedDate not supplied

Modeling memory: what do we learn from attractor neural networks?

In this paper we summarize some of the main contributions of models of recurrent neural networks with associative memory properties. We compare the behavior of these attractor neural networks with empirical data from both physiology and psychology. This type of network could be used in models with more complex functions.

Humans↗