171 research outputs found
Neurotrophic actions of dopamine on the development of a serotonergic feeding circuit in Drosophila melanogaster
<p>Abstract</p> <p>Background</p> <p>In the fruit fly, <it>Drosophila melanogaster</it>, serotonin functions both as a neurotransmitter to regulate larval feeding, and in the development of the stomatogastric feeding circuit. There is an inverse relationship between neuronal serotonin levels during late embryogenesis and the complexity of the serotonergic fibers projecting from the larval brain to the foregut, which correlate with perturbations in feeding, the functional output of the circuit. Dopamine does not modulate larval feeding, and dopaminergic fibers do not innervate the larval foregut. Since dopamine can function in central nervous system development, separate from its role as a neurotransmitter, the role of neuronal dopamine was assessed on the development, and mature function, of the 5-HT larval feeding circuit.</p> <p>Results</p> <p>Both decreased and increased neuronal dopamine levels in late embryogenesis during development of this circuit result in depressed levels of larval feeding. Perturbations in neuronal dopamine during this developmental period also result in greater branch complexity of the serotonergic fibers innervating the gut, as well as increased size and number of the serotonin-containing vesicles along the neurite length. This neurotrophic action for dopamine is modulated by the D<sub>2 </sub>dopamine receptor expressed during late embryogenesis in central 5-HT neurons. Animals carrying transgenic RNAi constructs to knock down both dopamine and serotonin synthesis in the central nervous system display normal feeding and fiber architecture. However, disparate levels of neuronal dopamine and serotonin during development of the circuit result in abnormal gut fiber architecture and feeding behavior.</p> <p>Conclusions</p> <p>These results suggest that dopamine can exert a direct trophic influence on the development of a specific neural circuit, and that dopamine and serotonin may interact with each other to generate the neural architecture necessary for normal function of the circuit.</p
A systematic review of physiological methods in rodent pharmacological MRI studies
Rationale: Pharmacological magnetic resonance imaging (phMRI) provides an approach to study effects of drug challenges on brain processes. Elucidating mechanisms of drug action helps us to better understand the workings of neurotransmitter systems, map brain function or facilitate drug development. phMRI is increasingly used in preclinical research employing rodent models; however, data interpretation and integration are complicated by the use of different experimental approaches between laboratories. In particular, the effects of different anaesthetic regimes upon neuronal and haemodynamic processes and baseline physiology could be problematic.
Objectives: This paper investigates how differences in phMRI research methodologies are manifested and considers associated implications, placing particular emphasis on choice of anaesthetic regimes.
Methods: A systematic review of rodent phMRI studies was conducted. Factors such as those describing anaesthetic regimes (e.g. agent, dosage) and parameters relating to physiological maintenance (e.g. ventilatory gases) and MRI method were recorded.
Results: We identified 126 eligible studies and found that the volatile agents isoflurane (43.7 %) and halothane (33.3 %) were most commonly used for anaesthesia, but dosage and mixture of ventilatory gases varied substantially between laboratories. Relevant physiological parameters were usually recorded, although 32 % of studies did not provide cardiovascular measures.
Conclusions: Anaesthesia and animal preparation can influence phMRI data profoundly. The variation of anaesthetic type, dosage regime and ventilatory gases makes consolidation of research findings (e.g. within a specific neurotransmitter system) difficult. Standardisation of a small(er) number of preclinical phMRI research methodologies and/or increased consideration of approaches that do not require anaesthesia is necessary to address these challenges
A tale of two stories: astrocyte regulation of synaptic depression and facilitation
Short-term presynaptic plasticity designates variations of the amplitude of
synaptic information transfer whereby the amount of neurotransmitter released
upon presynaptic stimulation changes over seconds as a function of the neuronal
firing activity. While a consensus has emerged that changes of the synapse
strength are crucial to neuronal computations, their modes of expression in
vivo remain unclear. Recent experimental studies have reported that glial
cells, particularly astrocytes in the hippocampus, are able to modulate
short-term plasticity but the underlying mechanism is poorly understood. Here,
we investigate the characteristics of short-term plasticity modulation by
astrocytes using a biophysically realistic computational model. Mean-field
analysis of the model unravels that astrocytes may mediate counterintuitive
effects. Depending on the expressed presynaptic signaling pathways, astrocytes
may globally inhibit or potentiate the synapse: the amount of released
neurotransmitter in the presence of the astrocyte is transiently smaller or
larger than in its absence. But this global effect usually coexists with the
opposite local effect on paired pulses: with release-decreasing astrocytes most
paired pulses become facilitated, while paired-pulse depression becomes
prominent under release-increasing astrocytes. Moreover, we show that the
frequency of astrocytic intracellular Ca2+ oscillations controls the effects of
the astrocyte on short-term synaptic plasticity. Our model explains several
experimental observations yet unsolved, and uncovers astrocytic
gliotransmission as a possible transient switch between short-term paired-pulse
depression and facilitation. This possibility has deep implications on the
processing of neuronal spikes and resulting information transfer at synapses.Comment: 93 pages, manuscript+supplementary text, 10 main figures, 11
supplementary figures, 1 tabl
Velocity-space sensitivity of the time-of-flight neutron spectrometer at JET
The velocity-space sensitivities of fast-ion diagnostics are often described by so-called weight functions. Recently, we formulated weight functions showing the velocity-space sensitivity of the often dominant beam-target part of neutron energy spectra. These weight functions for neutron emission spectrometry (NES) are independent of the particular NES diagnostic. Here we apply these NES weight functions to the time-of-flight spectrometer TOFOR at JET. By taking the instrumental response function of TOFOR into account, we calculate time-of-flight NES weight functions that enable us to directly determine the velocity-space sensitivity of a given part of a measured time-of-flight spectrum from TOFOR
Relationship of edge localized mode burst times with divertor flux loop signal phase in JET
A phase relationship is identified between sequential edge localized modes (ELMs) occurrence times in a set of H-mode tokamak plasmas to the voltage measured in full flux azimuthal loops in the divertor region. We focus on plasmas in the Joint European Torus where a steady H-mode is sustained over several seconds, during which ELMs are observed in the Be II emission at the divertor. The ELMs analysed arise from intrinsic ELMing, in that there is no deliberate intent to control the ELMing process by external means. We use ELM timings derived from the Be II signal to perform direct time domain analysis of the full flux loop VLD2 and VLD3 signals, which provide a high cadence global measurement proportional to the voltage induced by changes in poloidal magnetic flux. Specifically, we examine how the time interval between pairs of successive ELMs is linked to the time-evolving phase of the full flux loop signals. Each ELM produces a clear early pulse in the full flux loop signals, whose peak time is used to condition our analysis. The arrival time of the following ELM, relative to this pulse, is found to fall into one of two categories: (i) prompt ELMs, which are directly paced by the initial response seen in the flux loop signals; and (ii) all other ELMs, which occur after the initial response of the full flux loop signals has decayed in amplitude. The times at which ELMs in category (ii) occur, relative to the first ELM of the pair, are clustered at times when the instantaneous phase of the full flux loop signal is close to its value at the time of the first ELM
Effects of an interdependent group contingency on the transition behavior of middle school students with emotional and behavioral disorders
An ABAB design was used to evaluate the effectiveness of an interdependent group contingency with randomized components to improve the transition behavior of middle school students identified with emotional and behavioral disorders (EBDs) served in an alternative educational setting. The intervention was implemented by one teacher with three classes of students, and the dependent variable was the percentage of students ready to begin class at the appropriate time. Data revealed significant improvements in student behavior, providing support for implementation of group contingencies for students with EBDs in alternative educational settings and an example of feasible procedures and data collection methods
A Review of the Effectiveness of Guided Notes for Students who Struggle Learning Academic Content
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