Sergio Muñoz-Villaverde, María Martínez-García, Leticia Serrano-Oviedo, Francisco Javier Gómez-Romero, Ana María Sobrado-Sobrado, María Ángeles Cidoncha-Moreno, Juan Riesgo-Martín, Guillermo Pedreira-Robles, Paloma Garcimartin
Impact of telenurse-led intervention in clinical trials on health literacy, empowerment, and health outcomes in patients with solid tumours: a pilot quasi-experimental study
BMC nursing
common analysis approach resting state functional magnetic resonance imaging rsfmri dynamic functional network connectivity dfnc data involves clustering windowed correlation timeseries assigning time windows clusters ie states quantified summarize aspects dfnc dynamics however methods dominated select features obscure key dynamics related less dominant features study presents iterative feature learning approach identify maximally significant minimally complex subset dfnc features within default mode network dmn schizophrenia sz utilizing dfnc data individuals sz healthy controls hc approach uncovers subset features greater number dfnc states disorderrelated dynamics found features present clustering find anterior cingulate cortexposterior cingulate cortex accpcc interactions consistently related sz across significant iterations feature learning analysis individuals sz tend spend time states greater intraacc anticorrelation almost time state high intraacc correlation hcs periodically enter findings highlight need nuanced analyses reveal disorderrelated dynamics advance understanding neuropsychiatric disorders