Locomotor control by the central complex inDrosophila—An analysis of thetay bridge mutant

2008 ◽  
Vol 68 (8) ◽  
pp. 1046-1058 ◽  
Author(s):  
Burkhard Poeck ◽  
Tilman Triphan ◽  
Kirsa Neuser ◽  
Roland Strauss
Keyword(s):  
Central Complex ◽  
Locomotor Control

scholarly journals Diverse neuronal lineages make stereotyped contributions to the Drosophila locomotor control center, the central complex

2013 ◽  
Vol 521 (12) ◽  
pp. Spc1-Spc1 ◽  
Author(s):  
Jacob S. Yang ◽  
Takeshi Awasaki ◽  
Hung-Hsiang Yu ◽  
Yisheng He ◽  
Peng Ding ◽  
...  
Keyword(s):  
Central Complex ◽  
Control Center ◽  
Locomotor Control

scholarly journals Generating an Executable Model of the Drosophila Central Complex

2016 ◽  
Author(s):  
Lev E. Givon ◽  
Aurel A. Lazar
Keyword(s):  
Neural Circuit ◽  
Spatial Information ◽  
Level Structure ◽  
Neural Circuitry ◽  
Central Complex ◽  
Projection Neurons ◽  
Locomotor Control ◽  
Olfactory Systems ◽  
High Level ◽  
Available Information

AbstractThe central complex (CX) is a set of neuropils in the center of the fly brain that have been implicated as playing an important role in vision-mediated behavior and integration of spatial information for locomotor control. In contrast to currently available data regarding the neural circuitry of neuropils in the fly's vision and olfactory systems, comparable data for the CX neuropils is relatively incomplete; many categories of neurons remain only partly characterized, and the synaptic connectivity between CX neurons has yet to be experimentally determined. Successful modeling of the information processing functions of the CX neuropils therefore requires a means of easily constructing and testing a range of hypotheses regarding both the high-level structure of their neural circuitry and the properties of their constituent neurons and synapses. This document demonstrates how NeuroArch and Neurokernel may be used to algorithmically construct and evaluate executable neural circuit models of the CX neuropils and their interconnects based upon currently available information regarding the geometry and polarity of the arborizations of identified local and projection neurons in the CX.

scholarly journals Dynamic modulation of visual and electrosensory gains for locomotor control

2016 ◽  
Vol 13 (118) ◽  
pp. 20160057 ◽  
Author(s):  
Erin E. Sutton ◽  
Alican Demir ◽  
Sarah A. Stamper ◽  
Eric S. Fortune ◽  
Noah J. Cowan
Keyword(s):  
Augmented Reality ◽  
Multisensory Integration ◽  
Sensorimotor Integration ◽  
Sensory Conflict ◽  
Dynamic Modulation ◽  
Sensory Inputs ◽  
Locomotor Control ◽  
Eigenmannia Virescens ◽  
Future Work ◽  
Perceptual Weights

Animal nervous systems resolve sensory conflict for the control of movement. For example, the glass knifefish, Eigenmannia virescens , relies on visual and electrosensory feedback as it swims to maintain position within a moving refuge. To study how signals from these two parallel sensory streams are used in refuge tracking, we constructed a novel augmented reality apparatus that enables the independent manipulation of visual and electrosensory cues to freely swimming fish ( n = 5). We evaluated the linearity of multisensory integration, the change to the relative perceptual weights given to vision and electrosense in relation to sensory salience, and the effect of the magnitude of sensory conflict on sensorimotor gain. First, we found that tracking behaviour obeys superposition of the sensory inputs, suggesting linear sensorimotor integration. In addition, fish rely more on vision when electrosensory salience is reduced, suggesting that fish dynamically alter sensorimotor gains in a manner consistent with Bayesian integration. However, the magnitude of sensory conflict did not significantly affect sensorimotor gain. These studies lay the theoretical and experimental groundwork for future work investigating multisensory control of locomotion.

The novel guanylyl cyclase MsGC-I is strongly expressed in higher-order neuropils in the brain of Manduca sexta

2001 ◽  
Vol 204 (2) ◽  
pp. 305-314 ◽  
Author(s):  
A. Nighorn ◽  
P.J. Simpson ◽  
D.B. Morton
Keyword(s):  
Nervous System ◽  
Manduca Sexta ◽  
Guanylyl Cyclase ◽  
Higher Order ◽  
Adult Brain ◽  
Central Complex ◽  
Amino Acid Residues ◽  
Order Processing ◽  
Guanylyl Cyclases ◽  
The Brain

Guanylyl cyclases are usually characterized as being either soluble (sGCs) or receptor (rGCs). We have recently cloned a novel guanylyl cyclase, MsGC-I, from the developing nervous system of the hawkmoth Manduca sexta that cannot be classified as either an sGC or an rGC. MsGC-I shows highest sequence identity with receptor guanylyl cyclases throughout its catalytic and dimerization domains, but does not contain the ligand-binding, transmembrane or kinase-like domains characteristic of receptor guanylyl cyclases. In addition, MsGC-I contains a C-terminal extension of 149 amino acid residues. In this paper, we report the expression of MsGC-I in the adult. Northern blots show that it is expressed preferentially in the nervous system, with high levels in the pharate adult brain and antennae. In the antennae, immunohistochemical analyses show that it is expressed in the cell bodies and dendrites, but not axons, of olfactory receptor neurons. In the brain, it is expressed in a variety of sensory neuropils including the antennal and optic lobes. It is also expressed in structures involved in higher-order processing including the mushroom bodies and central complex. This complicated expression pattern suggests that this novel guanylyl cyclase plays an important role in mediating cyclic GMP levels in the nervous system of Manduca sexta.

An intracortical neuroprosthesis immediately alleviates walking deficits and improves recovery of leg control after spinal cord injury

2021 ◽  
Vol 13 (586) ◽  
pp. eabb4422
Author(s):  
Marco Bonizzato ◽  
Marina Martinez
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Pattern Generation ◽  
Rhythmic Pattern ◽  
Cortical Control ◽  
Motor Mapping ◽  
Cortical Motor ◽  
Locomotor Control ◽  
Cord Injury

Most rehabilitation interventions after spinal cord injury (SCI) only target the sublesional spinal networks, peripheral nerves, and muscles. However, mammalian locomotion is not a mere act of rhythmic pattern generation. Recovery of cortical control is essential for voluntary movement and modulation of gait. We developed an intracortical neuroprosthetic intervention to SCI, with the goal to condition cortical locomotor control. Neurostimulation delivered in phase coherence with ongoing locomotion immediately alleviated primary SCI deficits, such as leg dragging, in rats with incomplete SCI. Cortical neurostimulation achieved high fidelity and markedly proportional online control of leg trajectories in both healthy and SCI rats. Long-term neuroprosthetic training lastingly improved cortical control of locomotion, whereas short training held transient improvements. We performed longitudinal awake cortical motor mapping, unveiling that recovery of cortico-spinal transmission tightly parallels return of locomotor function in rats. These results advocate directly targeting the motor cortex in clinical neuroprosthetic approaches.

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