TY - JOUR
T1 - Identifying generalized anxiety disorder using resting state habenular circuitry
AU - Ma, Zijuan
AU - Zhong, Yuan
AU - Hines, Christina S.
AU - Wu, Yun
AU - Li, Yuting
AU - Pang, Manlong
AU - Li, Jian
AU - Wang, Chiyue
AU - Fox, Peter T.
AU - Zhang, Ning
AU - Wang, Chun
N1 - Funding Information:
Acknowledgements This work was supported by the Nanjing Brain Hospital Affiliated to Nanjing Medical University. Also, the protocol for the research project has been approved by a suitably constituted Ethics Committee of the Nanjing Brain Hospital Affiliated to Nanjing Medical University. All co-authors listed have approved the manuscript that is enclosed and there is no financial interest to report. The views expressed in this paper are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs or the U.S. government.
Funding Information:
This work was supported by the Nanjing Brain Hospital Affiliated to Nanjing Medical University. Also, the protocol for the research project has been approved by a suitably constituted Ethics Committee of the Nanjing Brain Hospital Affiliated to Nanjing Medical University. All co-authors listed have approved the manuscript that is enclosed and there is no financial interest to report. The views expressed in this paper are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs or the U.S. government.
Funding Information:
Funding This study was funded by National Natural Science Foundation of China (Grant 81571344, 81201064, 81871344); Natural Science Foundation of Jiangsu Province (Grant BK20161109); the Natural Science Foundation of the Higher Education Institutions of Jiangsu Province, China (Grant 18KJB190003); key research and development program (Social Development) project of Jiangsu province (Grant BE20156092015).
Funding Information:
Conflict of interest Author Yuan Zhong has received research grants from National Natural Science Foundation of China (Grant 81871344) and Natural Science Foundation of the Higher Education Institutions of Jiangsu Province, China (Grant 18KJB190003). Author Chun Wang has received has received research grants from National Natural Science Foundation of China (Grant 81571344, 81201064) and Natural Science Foundation of Jiangsu Province (Grant BK20161109). Author Ning Zhang has received has received research grants from key research and development program (Social Development). project of Jiangsu province (Grant BE20156092015).
Publisher Copyright:
© 2019, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - Studies identify the habenula as a key subcortical component in anxiety, with a role in predicting error coding within the evaluative system. However, no clinical reports of generalized anxiety disorder (GAD) describe resting state functional connectivity of habenular circuits. We hypothesized that resting-state functional connectivities of habenula would show differences in neuroanatomical correlates of the evaluative system (prefrontal cortex, habenula) of patients with GAD. We obtained 22 patients with GAD and 21 HCs, matched for gender, age, and years of education. Resting-state functional connectivity of the habenula was assessed using a seed-based template imposed on whole brain MRI, which provided an objective and semi-automated segmentation algorithm in MNI space. Patients with GAD demonstrated enhanced connectivities in the bilateral premotor cortex, right ventrolateral prefrontal cortex, medial frontal cortex, as well as the left orbitofrontal cortex, and reduced connectivities in the left posterior cingulate cortex, and right pulvinar. Moreover, striking differences of abnormal connectivities between groups were observed via analysis of receiver operating characteristic curves (ROC) of statistically significant. These results including ROC curves suggest the potential importance of the habenula in evaluating and deciding to personally relevant reward-related information.
AB - Studies identify the habenula as a key subcortical component in anxiety, with a role in predicting error coding within the evaluative system. However, no clinical reports of generalized anxiety disorder (GAD) describe resting state functional connectivity of habenular circuits. We hypothesized that resting-state functional connectivities of habenula would show differences in neuroanatomical correlates of the evaluative system (prefrontal cortex, habenula) of patients with GAD. We obtained 22 patients with GAD and 21 HCs, matched for gender, age, and years of education. Resting-state functional connectivity of the habenula was assessed using a seed-based template imposed on whole brain MRI, which provided an objective and semi-automated segmentation algorithm in MNI space. Patients with GAD demonstrated enhanced connectivities in the bilateral premotor cortex, right ventrolateral prefrontal cortex, medial frontal cortex, as well as the left orbitofrontal cortex, and reduced connectivities in the left posterior cingulate cortex, and right pulvinar. Moreover, striking differences of abnormal connectivities between groups were observed via analysis of receiver operating characteristic curves (ROC) of statistically significant. These results including ROC curves suggest the potential importance of the habenula in evaluating and deciding to personally relevant reward-related information.
KW - Evaluation system
KW - Generalized anxiety disorder
KW - Habenula
KW - Resting-state functional connectivity
KW - Reward circuit
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U2 - 10.1007/s11682-019-00055-1
DO - 10.1007/s11682-019-00055-1
M3 - Article
C2 - 30868402
AN - SCOPUS:85062936224
SN - 1931-7557
VL - 14
SP - 1406
EP - 1418
JO - Brain Imaging and Behavior
JF - Brain Imaging and Behavior
IS - 5
ER -