TY  - JOUR
PY  - 2019//
TI  - Using resting-state intrinsic network connectivity to identify suicide risk in mood disorders
JO  - Psychological medicine
A1  - Stange, Jonathan P.
A1  - Jenkins, Lisanne M.
A1  - Pocius, Stephanie
A1  - Kreutzer, Kayla
A1  - Bessette, Katie L.
A1  - DelDonno, Sophie R.
A1  - Kling, Leah R.
A1  - Bhaumik, Runa
A1  - Welsh, Robert C.
A1  - Keilp, John G.
A1  - Phan, K. Luan
A1  - Langenecker, Scott A.
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - BACKGROUND: Little is known about the neural substrates of suicide risk in mood disorders. Improving the identification of biomarkers of suicide risk, as indicated by a history of suicide-related behavior (SB), could lead to more targeted treatments to reduce risk. <br><br>METHODS: Participants were 18 young adults with a mood disorder with a history of SB (as indicated by endorsing a past suicide attempt), 60 with a mood disorder with a history of suicidal ideation (SI) but not SB, 52 with a mood disorder with no history of SI or SB (MD), and 82 healthy comparison participants (HC). Resting-state functional connectivity within and between intrinsic neural networks, including cognitive control network (CCN), salience and emotion network (SEN), and default mode network (DMN), was compared between groups. <br><br>RESULTS: Several fronto-parietal regions (k > 57, p < 0.005) were identified in which individuals with SB demonstrated distinct patterns of connectivity within (in the CCN) and across networks (CCN-SEN and CCN-DMN). Connectivity with some of these same regions also distinguished the SB group when participants were re-scanned after 1-4 months. Extracted data defined SB group membership with good accuracy, sensitivity, and specificity (79-88%). <br><br>CONCLUSIONS: These results suggest that individuals with a history of SB in the context of mood disorders may show reliably distinct patterns of intrinsic network connectivity, even when compared to those with mood disorders without SB. Resting-state fMRI is a promising tool for identifying subtypes of patients with mood disorders who may be at risk for suicidal behavior.<p />  <p>Language: en</p>
LA  - en
SN  - 0033-2917
UR  - http://dx.doi.org/10.1017/S0033291719002356
ID  - ref1
ER  -