Results 71 to 80 of about 11,273,867 (290)

Exploring the role of electrode density in capturing spatiotemporal dynamics of resting-state networks with EEG

Journal of Physics: Complexity
This study investigates the role of electrode density in capturing resting-state brain activity, an area of significant clinical relevance, where electroencephalography (EEG) is favored for its cost-efficiency.
Matheus Mangini Bertuzzo, Rodrigo P Rocha, Ricardo Spyrídes Boabaid Pimentel Gonçalves, Adair Roberto Soares Dos Santos, Odival Cezar Gasparotto   +4 more
doaj   +1 more source

The voxel-wise functional connectome can be efficiently derived from co-activations in a sparse spatio-temporal point-process

Frontiers in Neuroscience, 2016
Large efforts are currently under way to systematically map functional connectivity between all pairs of millimeter-scale brain regions based on large neuroimaging databases.
Enzo Tagliazucchi, Enzo Tagliazucchi, Michael Siniatchkin, Helmut Laufs, Dante R Chialvo, Dante R Chialvo   +5 more
doaj   +1 more source

Characterizing the Complexity of Weighted Networks via Graph Embedding and Point Pattern Analysis

Entropy, 2020
We propose a new metric to characterize the complexity of weighted complex networks. Weighted complex networks represent a highly organized interactive process, for example, co-varying returns between stocks (financial networks) and coordination between ...
Shuo Chen, Zhen Zhang, Chen Mo, Qiong Wu, Peter Kochunov, L. Elliot Hong   +5 more
doaj   +1 more source

Exploring Preferences for a Digital Single‐Session Intervention for Adolescent Siblings of Youth With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro, Sarah Silver, Prishi Patel, Meredith K. Reffner Collins, Kimberly S. Canter, Stephanie Fooks‐Parker, Michael Amylon, Shawna V. Hudson, Jessica L. Schleider, Melissa A. Alderfer, Katie A. Devine   +10 more
wiley   +1 more source

Learning Point Processes and Convolutional Neural Networks for Object Detection in Satellite Images

Remote Sensing
Convolutional neural networks (CNN) have shown great results for object-detection tasks by learning texture and pattern-extraction filters. However, object-level interactions are harder to grasp without increasing the complexity of the architectures.
Jules Mabon, Mathias Ortner, Josiane Zerubia   +2 more
doaj   +1 more source

Criticality in large-scale brain fMRI dynamics unveiled by a novel point process analysis.

Frontiers in Physiology, 2012
Functional magnetic resonance imaging (fMRI) techniques have contributed significantly to our understanding of brain function. Current methods are based on the analysis of gradual and continuous changes in the brain blood oxygenated level dependent ...
Enzo eTagliazucchi, Enzo eTagliazucchi, Pablo eBalenzuela, Pablo eBalenzuela, Daniel eFraiman, Daniel eFraiman, Dante R Chialvo, Dante R Chialvo   +7 more
doaj   +1 more source

Identifying Flow Clusters Based on Density Domain Decomposition

IEEE Access, 2020
Flow clustering is one of the most important data mining methods for the analysis of origin-destination (OD) flow data, and it may reveal the underlying mechanisms responsible for the spatial distributions and temporal dynamics of geographical phenomena.
Ci Song, Tao Pei, Hua Shu
doaj   +1 more source

A Spatio-Temporal Point Process Model for Ambulance Demand [PDF]

, 2014
Ambulance demand estimation at fine time and location scales is critical for fleet management and dynamic deployment. We are motivated by the problem of estimating the spatial distribution of ambulance demand in Toronto, Canada, as it changes over ...
Henderson, Shane G., Matteson, David S., Micheas, Athanasios C., Woodard, Dawn B., Zhou, Zhengyi   +4 more
core   +1 more source

Point process modeling for directed interaction networks

, 2012
Network data often take the form of repeated interactions between senders and receivers tabulated over time. A primary question to ask of such data is which traits and behaviors are predictive of interaction.
Andersen, Andersen, Anderson, Aral, Boyd, Breslow, Broström, Butts, Cook, Cox, Cox, Eagle, Efron, Fleming, Fowler, Goldenberg, Haberman, Jackson, Kolaczyk, Lenglart, Martinussen, McCullagh, Mckenzie, McPherson, Nocedal, Papachristos, Rebolledo, Snijders, Sundaresan, Tapia, Therneau, Tyler, Vu, Vu, Wong, Zhou   +35 more
core   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source