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Results for “functional network connectivity”

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At least 217 records · Page 12Linked to original sources

PubMed1990

Alteration of the humoral immune response against muscle acetylcholine receptor by timed administration of alpha(1----3)dextran.

Previously, we discovered a profound idiotypic connectivity among antibodies involved in the immune responses to alpha(1----3)dextran (Dex) and the acetylcholine receptor (AChR). The present studies were undertaken to assess whether these connections represent functional pathways for regulation. It was found that immunization of mice with Dex prior to challenge with AChR reduced the subsequent response to receptor. The timing of the Dex administration was crucial for this effect with a 6-day delay between Dex and AChR being optimal whereas 0- or 12-day delays proved ineffective. The suppressive effect was specific for Dex, as treatment with the closely related, but idiotypically distinct, alpha(1----6)dextran did not diminish the anti-AChR response. Consistent with functional connections in the AChR-Dex network, an inverse relationship between anti-AChR and anti-Dex antibodies was observed in these studies. Thus, high levels of anti-AChR antibodies were associated with low levels of anti-Dex antibodies and vice versa. A similar relationship was observed for serum antibodies from patients with myasthenia gravis. To investigate the mechanism for the antigen-induced cross-regulation, hybridomas were constructed from spleen cells of mice treated 6 days earlier with Dex. A variety of idiotypes (Id), anti-Id and anti-anti-Id were obtained from this fusion. In addition, sera from day-6 mice were examined for the expression of key anti-Id which might provide regulation in the anti-AChR response. The main feature of these sera was the presence of EB3-7-reactive antibodies which did not bind Dex, and hence were not identical to J558. A monoclonal antibody with similar properties was obtained from the day-6 fusion (DX6) which had additional binding specificity for anti-AChR antibodies. Antibodies induced by Dex immunization appear to participate in the cross-regulation observed here. Understanding the mechanisms involved in this phenomenon will have important implications for network theory and for prediction of immune responsiveness.

Animals↗

PubMed2006

Effects of treatment with the atypical neuroleptic quetiapine on working memory function: a functional MRI follow-up investigation.

BACKGROUND: Working memory as a part of higher-order executive functions is defined by the parallel storage and processing of information. Recent functional fMRI studies have revealed a functional, interregional disintegration of a neuronal network connecting cortical, subcortical and cerebellar regions in schizophrenic patients (SZ). Cognitive impairment in working memory is a core psychopathological correlate of schizophrenic symptoms. Atypical neuroleptics such as quetiapine have shown good efficacy in treating positive and negative symptoms. The presented study evaluated the impact of a neuroleptic steady state treatment with quetiapine on the altered working memory activation patterns in schizophrenia. METHODS: Patients were examined by fMRI at baseline and after 12 weeks of steady state treatment with quetiapine. Matched healthy controls (HC) underwent baseline examination. In the scanner, stimuli were presented in a 2-back and 0-back condition of a working memory (wm) paradigm, whereby a degraded and a non-degraded version were used each time. Additionally, behavioural responses (reaction time to target stimuli and error ratio) were measured. RESULTS: At baseline, healthy controls revealed increased activity in the frontal lobe, especially in regions of the prefrontal cortex. Compared to HC, SZ showed hypoactivation in the right dorsolateral prefrontal cortex (DLPFC) and the ventrolateral prefrontal cortex (VLPFC) bilaterally for the 2-back condition. In the 2-back degraded condition there was a hypoactivation in both, the right DLPFC and the VLPFC. Additionally, patients showed bilaterally decreased activation in the basalganglia in the 2-back and in the right caudatus in the 2-back degraded condition compared to healthy controls. After treatment with quetiapine, patients activations patterns were increased. The pre-post comparison of the 2-back condition revealed a significant increase of activation in the left VLPFC at a significance level of 0.001 (uncorrected). The 2-back degraded condition led to a significant activation pattern in the lingual gyrus and the right precuneus. In both wm conditions, at baseline there were no differences in reaction time but only a worse performance in SZ. After treatment, behavioural measurement of responses, including reaction time and performance, showed slight improvements in SZ, although these did not reach statistical significance. CONCLUSIONS: The neuronal networks underlying working memory are clearly altered in schizophrenia. After 12 weeks of treatment with quetiapine monotherapy, patients showed significant clinical improvement and revealed increased BOLD activity in the VLPFC during a working memory task, although there was no improvement of cognitive performance.

Adult↗

PubMed2004

The functional anatomy of inspection time: an event-related fMRI study.

Twenty healthy young adults underwent functional magnetic resonance imaging (fMRI) of the brain while performing a visual inspection time task. Inspection time is a forced-choice, two-alternative visual backward-masking task in which the subject is briefly shown two parallel vertical lines of markedly different lengths and must decide which is longer. As stimulus duration decreases, performance declines to chance levels. Individual differences in inspection time correlate with higher cognitive functions. An event-related design was used. The hemodynamic (blood oxygenation level-dependent; BOLD) response was computed as both a function of the eight levels of stimulus duration, from 6 ms (where performance is almost at chance) to 150 ms (where performance is nearly perfect), and a function of the behavioral responses. Random effects analysis showed that the difficulty of the visual discrimination was related to bilateral activation in the inferior fronto-opercular cortex, superior/medial frontal gyrus, and anterior cingulate gyrus, and bilateral deactivation in the posterior cingulate gyrus and precuneus. Examination of the time courses of BOLD responses showed that activation was related specifically to the more difficult, briefer stimuli and that deactivation was found across most stimulus levels. Functional connectivity suggested the existence of two networks. One comprised the fronto-opercular area, intrasylvian area, medial frontal gyrus, and the anterior cingulate cortex (ACC), possibly associated with processing of visually degraded percepts. A posterior network of sensory-related and associative regions might subserve processing of a visual discrimination task that has high processing demands and combines several fundamental cognitive domains. fMRI can thus reveal information about the neural correlates of mental events which occur over very short durations.

Adult↗

PubMed2005

The impact of environmental fluctuations on structured discrete time population models: resonance, synchrony and threshold behaviour.

External forcing of a discrete time ecological system does not just add variation to existing dynamics but can change the dynamics. We study the mechanisms that can bring this about, focusing on the key concepts of excitation and suppression which emerge when analysing the power spectra of the system in linear approximation. Excitation, through resonance between the system dynamics and the external forcing, is the greater the closer the system is to the boundary of the stability region. This amplification means that the extinction of populations becomes possible sooner than expected and, conversely, invasion can be significantly delayed. Suppression and the consequent redistribution of power within the spectrum proves to be a function both of the connectivity of the network graph of the system and the way that external forcing is applied to the system. It is also established that colour in stochastic forcing can have a major impact, by enhancing resonance and by greater redistribution of power. This can mean a higher risk of extinction through larger fluctuations in population numbers and a higher degree of synchrony between populations. The implications of external forcing for stage-structured species, for populations in competition and for trophic web systems are studied using the tools and concepts developed in the paper.

Ecosystem↗

PubMed1999

Crosstalk in plant cell signaling: structure and function of the genetic network.

Cell signaling integrates independent stimuli using connections between biochemical pathways. The sensory apparatus can be represented as a network, and the connections between pathways are termed crosstalk. Here, we describe several examples of crosstalk in plant biology. To formalize the network of signal transduction we evaluated the relevance of mechanistic models used in artificial intelligence. Although the perceptron model of neural networking provides a good description of the process, we suggest that Boolean networks should be used as a starting framework. The Boolean network model allows genetic data to be integrated into the logical network of connections deduced from DNA microarray data.

Journal Article↗

PubMed2006

Signal transduction pathway of TonB-dependent transporters.

Transcription of the ferric citrate import system is regulated by ferric citrate binding to the outer membrane transporter FecA. A signal indicating transporter occupancy is relayed across the outer membrane to energy-transducing and regulatory proteins embedded in the cytoplasmic membrane. Because transcriptional activation is not coupled to ferric citrate import, an allosteric mechanism underlies this complex signaling mechanism. Using evolution-based statistical analysis we have identified a sparse but structurally connected network of residues that links distant functional sites in FecA. Functional analyses of these positions confirm their involvement in the mechanism that regulates transcriptional activation in response to ferric citrate binding at the cell surface. This mechanism appears to be conserved and provides the structural basis for the allosteric signaling of TonB-dependent transporters.

Bacterial Proteins↗

PubMed2005

Inferring the connectivity of a regulatory network from mRNA quantification in Synechocystis PCC6803.

A major task of contemporary biology is to understand and predict the functioning of regulatory networks. We use expression data to deduce the regulation network connecting the sigma factors of Synechocystis PCC6803, the most global regulators in bacteria. Synechocystis contains one group 1 (SigA) and four group 2 (SigB, SigC, SigD and SigE) sigma factors. From the relative abundance of the sig mRNA measured in the wild-type and the four group 2 sigma mutants, we derive a network of the influences of each sigma factor on the transcription of all other sigma factors. Internal or external stimuli acting on only one of the sigma factors will thus indirectly modify the expression of most of the others. From this model, we predict the control points through which the circadian time modulates the expression of the sigma factors. Our results show that the cross regulation between the group 1 and group 2 sigma factors is very important for the adaptation of the bacterium to different environmental and physiological conditions.

Bacterial Proteins↗

PubMed2005

[Are there imported components for channels and collaterals?].

The medical papyri in ancient Egypt written before 1500 B. C, recorded the metu system which could not be explained by modern anatomic location and was difficultly expounded by biological functions. Most of diseases were treated by dredging the metu, regulating the metu, balancing the metu, removing noxious substances from the metu, restoring the normal functions of the metu. The ancient Egyptian held that the metu forms mutual connecting channel network to carry out flowing of energy and information, with the functions of linking up external and internal organs, which is similar to linking functions of meridians-zang- and fu- organs. In the works of Hippocrates, the father of ancient Greece medicine, 2nd century B. C, also described the linking channels "phleps" on human surface. And in other country with an ancient civilization, India, had a similar channel system. About 15th century B. C, Charaka Samitha of ancient India described human "nadis" channel system. The system carried "rasas" (life liquid) connected with the whole body from the navel. Therefore, it can be held that at the embryonic stage of medicine development, the linking tube similar to channel or vessel was described, but it is interested that met and Chinese "mai" (vessel) have similar pronunciation. And mai in China was created after met.

China↗

PubMed2005

Diminished neuronal activity increases neuron-neuron connectivity underlying silent synapse formation and the rapid conversion of silent to functional synapses.

Neuronal activity regulates the synaptic strength of neuronal networks. However, it is still unclear how diminished activity changes connection patterns in neuronal circuits. To address this issue, we analyzed neuronal connectivity and relevant mechanisms using hippocampal cultures in which developmental synaptogenesis had occurred. We show that diminution of network activity in mature neuronal circuit promotes reorganization of neuronal circuits via NR2B subunit-containing NMDA-type glutamate receptors (NR2B-NMDARs), which mediate silent synapse formation. Simultaneous double whole-cell recordings revealed that diminishing neuronal circuit activity for 48 h increased the number of synaptically connected neuron pairs with both silent and functional synapses. This increase was accompanied by the specific expression of NR2B-NMDARs at synaptic sites. Analysis of miniature EPSCs (mEPSCs) showed that the frequency of NMDAR-mediated, but not AMPAR-mediated, mEPSCs increased, indicating that diminished neuronal activity promotes silent synapse formation via the surface delivering NR2B-NMDARs in mature neurons. After activation of neuronal circuit by releasing from TTX blockade (referred as circuit reactivation), the frequency of AMPAR-mediated mEPSCs increased instead, and this increase was prevented by ifenprodil. The circuit reactivation also caused an increased colocalization of glutamate receptor 1-specfic and synaptic NR2B-specific puncta. These results indicate that the circuit reactivation converts rapidly silent synapses formed during activity suppression to functional synapses. These data may provide a new example of homeostatic circuit plasticity that entails the modulation of neuron-neuron connectivity by synaptic activity.

2-Amino-5-phosphonovalerate↗

PubMed2003

Distinct subtypes of group I metabotropic glutamate receptors on rat spinal neurons mediate complex facilitatory and inhibitory effects.

While group I glutamate metabotropic (mGlu) receptors show discrete neuronal distribution in the neonatal rat spinal cord, the functional role of their distinct receptor subtypes remains uncertain. Intracellular recording from lumbar motoneurons together with extracellular recording of ventral root (VR) responses was used to investigate the differential contribution by mGlu receptor subtypes to cell excitability and network activity. The group I agonist DHPG evoked motoneuron depolarization (via the AIDA or CPCCOEt-sensitive mGlu receptor subtype 1) mainly at network level and generated sustained, network-dependent oscillations (via the MPEP-sensitive mGlu receptor subtype 5). DHPG also decreased the peak amplitude of synaptic responses induced by dorsal root stimuli, an effect unrelated to depolarization and dependent on glycinergic transmission. Synaptic responses were insensitive to AIDA or MPEP. The present results can be explained by assuming excitation of discrete classes of interneurons by group I mGlu receptor activity. Thus, the cellular distribution of those mGlu receptors at strategic circuit connections may determine the functional outcome of the network in terms of excitation or inhibition. Even if there was insufficient activation by endogenous glutamate of mGlu receptors during synaptic activity evoked by DR stimuli, it is apparent that such receptors are important pharmacological targets for powerful and rapid up- or down-regulation of spinal signal processing at network level, providing a rationale for the proposed use of mGlu receptor agonists in a variety of spinal pathological conditions.

Animals↗

PubMed2006

Learning functional structure from fMR images.

We propose a novel method using Bayesian networks to learn the structure of effective connectivity among brain regions involved in a functional MR experiment. The approach is exploratory in the sense that it does not require an a priori model as in the earlier approaches, such as the Structural Equation Modeling or Dynamic Causal Modeling, which can only affirm or refute the connectivity of a previously known anatomical model or a hypothesized model. The conditional probabilities that render the interactions among brain regions in Bayesian networks represent the connectivity in the complete statistical sense. The present method is applicable even when the number of regions involved in the cognitive network is large or unknown. We demonstrate the present approach by using synthetic data and fMRI data collected in silent word reading and counting Stroop tasks.

Adult↗

PubMed2004

Motifs in brain networks.

Complex brains have evolved a highly efficient network architecture whose structural connectivity is capable of generating a large repertoire of functional states. We detect characteristic network building blocks (structural and functional motifs) in neuroanatomical data sets and identify a small set of structural motifs that occur in significantly increased numbers. Our analysis suggests the hypothesis that brain networks maximize both the number and the diversity of functional motifs, while the repertoire of structural motifs remains small. Using functional motif number as a cost function in an optimization algorithm, we obtain network topologies that resemble real brain networks across a broad spectrum of structural measures, including small-world attributes. These results are consistent with the hypothesis that highly evolved neural architectures are organized to maximize functional repertoires and to support highly efficient integration of information.

Algorithms↗

PubMed2006

Speed of synchronization in complex networks of neural oscillators: analytic results based on Random Matrix Theory.

We analyze the dynamics of networks of spiking neural oscillators. First, we present an exact linear stability theory of the synchronous state for networks of arbitrary connectivity. For general neuron rise functions, stability is determined by multiple operators, for which standard analysis is not suitable. We describe a general nonstandard solution to the multioperator problem. Subsequently, we derive a class of neuronal rise functions for which all stability operators become degenerate and standard eigenvalue analysis becomes a suitable tool. Interestingly, this class is found to consist of networks of leaky integrate-and-fire neurons. For random networks of inhibitory integrate-and-fire neurons, we then develop an analytical approach, based on the theory of random matrices, to precisely determine the eigenvalue distributions of the stability operators. This yields the asymptotic relaxation time for perturbations to the synchronous state which provides the characteristic time scale on which neurons can coordinate their activity in such networks. For networks with finite in-degree, i.e., finite number of presynaptic inputs per neuron, we find a speed limit to coordinating spiking activity. Even with arbitrarily strong interaction strengths neurons cannot synchronize faster than at a certain maximal speed determined by the typical in-degree.

Action Potentials↗

PubMed2000

Modular neural networks for non-linearity recovering by the Haar approximation.

The paper deals with the design of a composite neural system for recovering non-linear characteristics from random input-output measurement data. It is assumed that non-linearity output measurements are corrupted by an additive zero-mean white random noise and that the input excitation is an i.i.d. random sequence with an arbitrary (and unknown) probability density function. A class of modular networks is developed. The class is based on the Haar approximation of functions with piecewise constant functions on a refinable grid and consists of the networks composed of perceptron-like modules connected in parallel. The networks provide a local mean value estimators of functions. The relationship between complexity and accuracy of modular networks is analysed. It is shown that under mild conditions on the non-linearities and input probability density functions the networks yield pointwise consistent estimates of non-linear characteristics, provided that complexity of the networks grows appropriately with the number of training data. Efficiency of the networks is examined and the asymptotic rate of convergence of the network estimates is established. Specifically, local ability of the networks to recover non-linear characteristics in dependence on local smoothness of the underlying non-linear function and the input probability density is discussed. Optimum complexity selection rules, guaranteeing the best performance of the networks, are given. Illustrative simulation examples are provided.

Computer Simulation↗

PubMed2026

Adaptive deletion of functional duplicate genes in Drosophila.

Gene deletion is traditionally viewed as a nonadaptive mechanism that eliminates functional redundancy, yet emerging evidence indicates that it disproportionately affects tissue-specific duplicates with unique functions. Here, we test whether gene deletion preferentially removes weakly constrained, degenerating duplicates or instead eliminates functionally active duplicates through an adaptive process. To identify the evolutionary and functional factors that determine which duplicates are lost, we systematically analyzed 100 gene deletion events in Drosophila by integrating sequence, expression, interaction, and structural data. We uncovered a strong bias toward the loss of younger child copies among functionally unique duplicates, whereas no such bias was observed for redundant duplicates. Contrary to expectations under relaxed constraint, deleted functionally unique genes evolve more slowly, show higher expression, engage in more protein-protein interactions, and do not exhibit elevated structural divergence or intrinsic disorder relative to redundant duplicates. When compared with single-copy genes, deleted functionally unique genes display similar evolutionary rates, slightly lower expression, greater network connectivity, comparable structural divergence, and lower intrinsic disorder. These patterns suggest that deletion frequently affects functionally active rather than degenerate genes. Collectively, our results support the hypothesis that gene deletion in Drosophila can represent an adaptive process acting on transiently functional duplicates, potentially driven by either genome streamlining or context-dependent deleterious effects.

evolution↗

PubMed1997

Coarse-grain parallel computing for very large scale neural simulations in the NEXUS simulation environment.

We describe a neural simulator designed for simulating very large scale models of cortical architectures. This simulator, NEXUS, uses coarse-grain parallel computing by distributing computation and data onto multiple conventional workstations connected via a local area network. Coarse-grain parallel computing offers natural advantages in simulating functionally segregated neural processes. We partition a complete model into modules with locally dense connections--a module may represent a cortical area, column, layer, or functional entity. Asynchronous data communications among workstations are established through the Network File System, which, together with the implicit modularity, decreases communications overhead, and increases overall performance. Coarse-grain parallelism also benefits from the standardization of conventional workstations and LAN, including portability between generations and vendors.

Computer Communication Networks↗

PubMed1979

The collagen network of the heart.

An extensive collagen skeleton in the myocardium is clearly demonstrable by scanning electron microscopy. This system mechanically connects myocytes to contiguous myocytes, connects myocytes to contiguous capillaries, and is responsible for orienting myocytes into anatomical units. The extent and location of the system involves it in a variety of physical parameters of the heart under both normal and abnormal conditions. The myocyte to myocyte collagen struts may provide for sarcomere alignment from cell to cell, ensure equal stretch of contiguous cells, and prevent slippage of adjacent cells. The numerous myocyte to web network connections would ensure that the entire group of cells function in a consistent fashion. The origin and course of the myocyte to capillary collagen struts could account for capillary patency during systole in the presence of high ventricular wall pressures. The complex web network surrounds groups of myocytes and is mechanically coupled to the contained myocytes. The loose collagen connections between groups easily permits slippage and rearrangement of groups of cells as expected in acute dilation. The web network itself could be the site of some of the viscoelastic properties of the heart.

Animals↗

PubMed1996

Imaging motor-to-sensory discharges in the human brain: an experimental tool for the assessment of functional connectivity.

We present a new approach to studying functional connectivity in the human brain. This approach is based on the observation that when we engage in motor activity, a discharge corollary to the motor command is sent from motor to sensory structures. Thus, as long as movement-related sensory input is either prevented or masked, modulation of neuronal activity in sensory structures would indicate the presence of functional connectivity between the motor and the sensory regions. Using positron emission tomography, such a central interaction between motor and sensory regions can be assessed by measuring regional changes in cerebral blood flow (CBF) in sensory regions. In this paper, we describe the experimental design and the results of two studies of corollary discharges, namely those generated during eye movements and speech. In these studies, a graded approach was used to establish the relationship between the number of eye movements or utterances and CBF in visual or auditory regions, respectively. Significant covariations between the number of movements and CBF in sensory regions were found, thus indicating the presence of functional connectivity between motor and sensory regions. In addition, interregional CBF covariations were computed and the effect of removing the intersubject variance on these covariations was evaluated. The corollary-discharge-based approach to studying functional connectivity is discussed in the context of more traditional computational approaches to network analysis in functional brain imaging.

Brain↗