scholarly journals Macroscale intrinsic network architecture of the hypothalamus

2019 ◽  
Vol 116 (16) ◽  
pp. 8018-8027 ◽  
Author(s):  
Joel D. Hahn ◽  
Olaf Sporns ◽  
Alan G. Watts ◽  
Larry W. Swanson
Keyword(s):  
Network Analysis ◽  
Network Architecture ◽  
Physiological Control ◽  
Comprehensive Description ◽  
Integrated Network ◽  
Gene Markers ◽  
Network Nodes ◽  
Primary Literature ◽  
Function Network ◽  
Regional Grouping

Control of multiple life-critical physiological and behavioral functions requires the hypothalamus. Here, we provide a comprehensive description and rigorous analysis of mammalian intrahypothalamic network architecture. To achieve this at the gray matter region (macroscale) level, macroscale connection (macroconnection) data for the rat hypothalamus were extracted from the primary literature. The dataset indicated the existence of 7,982 (of 16,770 possible) intrahypothalamic macroconnections. Network analysis revealed that the intrahypothalamic macroconnection network (its macroscale subconnectome) is divided into two identical top-level subsystems (or subnetworks), each composed of two nested second-level subsystems. At the top-level, this suggests a deeply integrated network; however, regional grouping of the two second-level subsystems suggested a partial separation between control of physiological functions and behavioral functions. Furthermore, inclusion of four candidate hubs (dominant network nodes) in the second-level subsystem that is associated prominently with physiological control suggests network primacy with respect to this function. In addition, comparison of network analysis with expression of gene markers associated with inhibitory (GAD65) and excitatory (VGLUT2) neurotransmission revealed a significant positive correlation between measures of network centrality (dominance) and the inhibitory marker. We discuss these results in relation to previous understandings of hypothalamic organization and provide, and selectively interrogate, an updated hypothalamus structure–function network model to encourage future hypothesis-driven investigations of identified hypothalamic subsystems.

scholarly journals Brain pathology recapitulates physiology: A network meta-analysis

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Thomas J. Vanasse ◽  
Peter T. Fox ◽  
P. Mickle Fox ◽  
Franco Cauda ◽  
Tommaso Costa ◽  
...  
Keyword(s):  
Network Architecture ◽  
Spatial Scales ◽  
Meta Analysis ◽  
Metabolic Cost ◽  
Common Mechanism ◽  
Brain Disorders ◽  
Brain Pathology ◽  
Structural Network ◽  
Meta Analyses ◽  
Function Network

AbstractNetwork architecture is a brain-organizational motif present across spatial scales from cell assemblies to distributed systems. Structural pathology in some neurodegenerative disorders selectively afflicts a subset of functional networks, motivating the network degeneration hypothesis (NDH). Recent evidence suggests that structural pathology recapitulating physiology may be a general property of neuropsychiatric disorders. To test this possibility, we compared functional and structural network meta-analyses drawing upon the BrainMap database. The functional meta-analysis included results from >7,000 experiments of subjects performing >100 task paradigms; the structural meta-analysis included >2,000 experiments of patients with >40 brain disorders. Structure-function network concordance was high: 68% of networks matched (pFWE < 0.01), confirming the broader scope of NDH. This correspondence persisted across higher model orders. A positive linear association between disease and behavioral entropy (p = 0.0006;R2 = 0.53) suggests nodal stress as a common mechanism. Corroborating this interpretation with independent data, we show that metabolic ‘cost’ significantly differs along this transdiagnostic/multimodal gradient.

Integrated Network Architecture Design for Wireless Systems

2011 ◽  
pp. 107-149
Author(s):  
Li Jun ◽  
Liyan Zhang ◽  
Laurent Marchand
Keyword(s):  
Network Architecture ◽  
Wireless Systems ◽  
Architecture Design ◽  
Integrated Network

Enhancement of Oil and Gas Production using Integrated Network Analysis

2007 ◽  
Author(s):  
K.J. Li ◽  
N. Thijssen ◽  
I. Mittendorff
Keyword(s):  
Network Analysis ◽  
Oil And Gas ◽  
Gas Production ◽  
Integrated Network ◽  
Oil And Gas Production

AN FPGA-BASED PLATFORM FOR A NETWORK ARCHITECTURE WITH DELAY GUARANTEE

2013 ◽  
Vol 22 (06) ◽  
pp. 1350045 ◽  
Author(s):  
MACIEJ WIELGOSZ ◽  
MAURITZ PANGGABEAN ◽  
JIANG WANG ◽  
LEIF ARNE RØNNINGEN
Keyword(s):  
Network Architecture ◽  
Multimedia Data ◽  
Low Latency ◽  
Traffic Condition ◽  
Network Nodes ◽  
Delay Guarantee ◽  
Design And Implementation ◽  
Platform Architecture ◽  
Delay Sensitive ◽  
Field Programmable

The background that underlies this work is the envisioned real-time tele-immersive collaboration system for the future that supports delay-sensitive applications involving participants from remote places via their collaboration spaces (CSs). The end-to-end delay as high as 20 ms is required for good synchronization of such applications, for example collaborative dancing and remote conducting of choir. It is much lower than that facilitated by existing teleconference systems. A novel network architecture with delay guarantee, namely Distributed Multimedia Plays (DMP), has been proposed and designed to realize the vision. The maximum low latency is guaranteed because DMP network nodes can drop DMP packets of multimedia data from the CSs due to instantaneous traffic condition. Besides ultrafast processing time, modularity, and scalability must be taken into account in hardware design and implementation of the nodes for seamless incorporation of the modules. These lead us to employing field-programmable gate array (FPGA) due to its substantial computational power and flexibility. This paper presents an FPGA-based platform for the design and implementation of DMP network nodes. It provides a detailed introduction to the platform architecture and the simulation-implementation environment for the design. The modularity of the implemented node is shown by addressing three important modules for packet dropping, 3D warping, and image transform. Our compact implementation of the network node on Xilinx Virtex-6 ML605 mostly consumes very small amount of available resources. Moreover the elementary operations on our implementation takes (much) less than 5 μs as desired to meet the low-latency requirement.

scholarly journals Performance Evaluation of Multi-UAV Network Applied to Scanning Rocket Impact Area

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4895
Author(s):  
Maurício R. Silva ◽  
Elitelma S. Souza ◽  
Pablo J. Alsina ◽  
Deyvid L. Leite ◽  
Mateus R. Morais ◽  
...  
Keyword(s):  
Communication Network ◽  
Communication Networks ◽  
Network Architecture ◽  
Design Procedure ◽  
Data Communication ◽  
Experimental Tests ◽  
Network Nodes ◽  
Communication Links ◽  
Impact Area ◽  
Multi Uav

This paper presents a communication network for a squadron of unmanned aerial vehicles (UAVs) to be used in the scanning rocket impact area for Barreira do Inferno Launch Center—CLBI (Rio Grande do Norte, Brazil), aiming at detecting intruder boats. The main features of communication networks associated with multi-UAV systems are presented. This system sends information through Wireless Sensor Networks (WSN). After comparing and analyzing area scanning strategies, it presents the specification of a data communication network architecture for a squadron of UAVs within a sensor network using XBee Pro 900HP S3B modules. A brief description is made about the initial information from the construction of the system. The embedded hardware and the design procedure of a dedicated communication antenna to the XBee modules are presented. In order to evaluate the performance of the proposed architecture in terms of robustness and reliability, a set of experimental tests in different communication scenarios is carried out. Network management software is employed to measure the throughput, packet loss and other performance indicators in the communication links between the different network nodes. Experimental results allow verifying the quality and performance of the network nodes, as well as the reliability of the communication links, assessing signal received quality, range and latency.

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