PREDICTING CORTICAL-THALAMIC FUNCTIONAL CONNECTIVITY USING FUNCTIONAL NEAR-INFRARED SPECTROSCOPY AND GRAPH CONVOLUTIONAL NETWORKS

Predicting cortical-thalamic functional connectivity using functional near-infrared spectroscopy and graph convolutional networks

Abstract Functional near-infrared spectroscopy (fNIRS) measures cortical hemodynamic changes, yet it cannot collect this information from subcortical structures, such as the thalamus, which is involved in several key functional networks.To address this drawback, we propose a machine-learning-based approach to predict cortical-thalamic functional co

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12-month outcomes of the US patient cohort in the SONATA pivotal IDE trial of transcervical ablation of uterine fibroids

Joseph Hudgens,1 D Alan Johns,2 Andrea S Lukes,3 David A Forstein,4 Dipak Delvadia51Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA, USA; 2Baylor Research Institute-Fort Worth, Fort Worth, TX, USA; 3Carolina Women’s Research and Wellness Center, Durham, NC, USA; 4Department of Obstetrics and Gynecology, T

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W poszukiwaniu teorii operacji specjalnej

The analysis of the available sources shows that there are currently many different definitions of the term special operations, some of which contain an element of interpretation ambiguity, and most need to bang xxl switch duo be more fully adequate to the current rules of their conduct.In modern literature, instructions and doctrines, both English

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A Comprehensive Analysis of Multilayer Community Detection Algorithms for Application to EEG-Based Brain Networks

Modular organization is an emergent property of brain networks, responsible for shaping communication processes and underpinning brain functioning.Moreover, brain networks are intrinsically multilayer since their attributes can vary across time, subjects, frequency, or other domains.Identifying the modular structure in multilayer brain networks rep

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