Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis.

746 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Clinical applications of the functional connectome (2013, neutral): “…Fair et al., 2012; Sato et al., 2012; Sidhu et al., 2012; Zhu et al., 2008), major depression (n = 3, Craddock et al., 2009; Lord et al., 2012; Zeng et al., 2012), autism (n = 2, Anderson et al., 2011; Murdaugh et al., 2012), epilepsy (n = 1, Zhang et al., 2012) prenatal cocaine exposure (n =…”
COGNITIVE DEFICITS AND FUNCTIONAL OUTCOMES IN MAJOR DEPRESSIVE DISORDER: DETERMINANTS, SUBSTRATES, AND TREATMENT INTERVENTIONS (2013, background): “[34, 50] Hypofrontality of the prefrontal cortex and overactivity of the anterior cingulate cortex are hypothesized to be the correlate of a functional disconnection between cortical and subcortical structures.[43, 51] These alterations may mediate deficits in measures of executive function, attenti”
Metric learning with spectral graph convolutions on brain connectivity networks (2018, methodology): “Hence, graph embedding has been widely used to estimate brain network similarity (Dosenbach et al., 2010; Richiardi et al., 2011; Zeng et al., 2012; Abraham et al., 2017), although it often discards valuable information about the graph structure.”
Graph analysis of the human connectome: Promise, progress, and pitfalls (2013, neutral): “, 2012), major depression (Lord et al., 2012; Zeng et al., 2012), attention-deficit hyperactivity disorder (Colby et al.”