@article{ref1,
title="Dimensional connectomics of anxious misery, a human connectome study related to human disease: overview of protocol and data quality",
journal="Neuroimage: clinical",
year="2020",
author="Smyk, Nathan and Seok, Darsol and Shinohara, Russell and Davatzikos, Christos and Gur, Ruben C. and Makhoul, Walid and Sheline, Yvette and Stock, Janet and Beer, Joanne and Balderston, Nicholas and Scott, J. Cobb and Girelli, Tommaso and Elliott, Mark and Cook, Philip and Jaskir, Marc",
volume="28",
number="",
pages="e102489-e102489",
abstract="Disparate diagnostic categories from the Diagnostic and Statistical Manual of Mental Disorders (DSM), including generalized anxiety disorder, major depressive disorder  and post-traumatic stress disorder, share common behavioral and phenomenological  dysfunctions. While high levels of comorbidity and common features across these  disorders suggest shared mechanisms, past research in psychopathology has largely  proceeded based on the syndromal taxonomy established by the DSM rather than on a  biologically-informed framework of neural, cognitive and behavioral dysfunctions. In  line with the National Institute of Mental Health's Research Domain Criteria (RDoC)  framework, we present a Human Connectome Study Related to Human Disease that is  intentionally designed to generate and test novel, biologically-motivated dimensions  of psychopathology. The Dimensional Connectomics of Anxious Misery study is  collecting neuroimaging, cognitive and behavioral data from a heterogeneous  population of adults with varying degrees of depression, anxiety and trauma, as well  as a set of healthy comparators (to date, n = 97 and n = 24, respectively). This  sample constitutes a dataset uniquely situated to elucidate relationships between  brain circuitry and dysfunctions of the Negative Valence construct of the RDoC  framework. We present a comprehensive overview of the eligibility criteria, clinical  procedures and neuroimaging methods of our project. After describing our protocol,  we present group-level activation maps from task fMRI data and independent  components maps from resting state data. Finally, using quantitative measures of  neuroimaging data quality, we demonstrate excellent data quality relative to a  subset of the Human Connectome Project of Young Adults (n = 97), as well as  comparable profiles of cortical thickness from T1-weighted imaging and generalized  fractional anisotropy from diffusion weighted imaging. This manuscript presents  results from the first 121 participants of our full target 250 participant dataset,  timed with the release of this data to the National Institute of Mental Health Data  Archive in fall 2020, with the remaining half of the dataset to be released in 2021.<p /> <p>Language: en</p>",
language="en",
issn="2213-1582",
doi="10.1016/j.nicl.2020.102489",
url="http://dx.doi.org/10.1016/j.nicl.2020.102489"
}