Chunk #113 — 9.0 Selective Review of Electrophysiological Biomarkers as Candidate Endophenotypes — 9.1 A review of how well candidate endophenotypes satisfy threshold criteria
possible to be exhaustive. We did not include measures reflecting neurobiological systems that appear to be disrupted by environmental adversity and stress, such as EEG asymmetry in infants and children associated with psychosocial risk. We also did not include putative endophenotypes relevant for different levels of analysis, such as developmental trajectories (Tierney, Gabard-Durnam, Vogel-Farley, Tager-Flusberg, & Nelson, 2012), or weighted composites (Clementz et al., 2015) and multivariate endophenotypes (Gilmore, Malone, & Iacono, 2010; W. G. Iacono, Carlson, & Malone, 2000; G. W. Price et al., 2006). There is invariably a certain degree of subjective judgment involved in how to efficiently and fairly summarize so much research. The table is nevertheless useful for drawing broad inferences about what we are learning to date from psychophysiological endophenotype research.