%A Levit Binnun,Nava %A Golland,Yulia %D 2012 %J Frontiers in Human Neuroscience %C %F %G English %K Psychopathology,resilience,Secondary symptoms,Soft neurological signs,Systems neuroscience,Vulnerability,Vulnerability indicators,Vulnerability markers %Q %R 10.3389/fnhum.2012.00010 %W %L %M %P %7 %8 2012-February-07 %9 Review %+ Dr Nava Levit Binnun,Interdisciplinary Center (IDC), Herzliya,The School of Psychology,P.O. Box 167, Herzliya 46150,Herzliya,Israel,navalb@idc.ac.il %# %! Finding behavioral and network indicators of brain vulnerability %* %< %T Finding behavioral and network indicators of brain vulnerability %U https://www.frontiersin.org/articles/10.3389/fnhum.2012.00010 %V 6 %0 JOURNAL ARTICLE %@ 1662-5161 %X Resilience research has usually focused on identifying protective factors associated with specific stress conditions (e.g., war, trauma) or psychopathologies (e.g., post-traumatic stress disorder [PTSD]). Implicit in this research is the concept that resilience is a global construct, invariant to the unfavorable circumstances or the psychopathologies that may develop (i.e., the mechanisms underlying the resilience of an individual in all cases are expected to be similar). Here we contribute to the understanding of resilience—and its counterpart, vulnerability—by employing an approach that makes use of this invariant quality. We outline two main characteristics that we would expect from indicators of a vulnerable state: that they should appear across disorders regardless of specific circumstances, and that they should appear much before the disorder is evident. Next, we identify two sets of factors that exhibit this pattern of association with psychopathological states. The first was a set of “low-level” sensory, motor and regulatory irregularities that have been reported across the clinical literature; we suggest that these can serve as behavioral indicators of a vulnerable state. The second was the set of aberrations in network metrics that have been reported in the field of systems neuroscience; we suggest that these can serve as network indicators of a vulnerable state. Finally, we explore how behavioral indicators may be related to network indicators and discuss the clinical and research-related implications of our work.