Poster No:
483
Submission Type:
Abstract Submission
Authors:
Je-Yeon Yun1, So Young Yoo2, Jung-Seok Choi3, Soo-Hee Choi2, Joon Hwan Jang2
Institutions:
1Seoul National University Hospital, Seoul, Seoul, 2Seoul National University College of Medicine, Seoul, Seoul, 3Sungkyunkwan University School of Medicine, Suwom, Suwon
First Author:
Je-Yeon Yun
Seoul National University Hospital
Seoul, Seoul
Co-Author(s):
So Young Yoo
Seoul National University College of Medicine
Seoul, Seoul
Jung-Seok Choi
Sungkyunkwan University School of Medicine
Suwom, Suwon
Soo-Hee Choi
Seoul National University College of Medicine
Seoul, Seoul
Joon Hwan Jang
Seoul National University College of Medicine
Seoul, Seoul
Introduction:
Resilience reflects self-efficacy in adaptive coping and is inversely associated with self-reproach. Executive performance is associated with coping strategies. We examined the shared neural correlates of resilience, self-reproach, planning, and response failure in the structural connectome of subthreshold depression(StD).
Methods:
The structural connectomes of 68 cortical and 14 subcortical regions (Desikan, 2006) were constructed using diffusion-weighted brain magnetic resonance images (Tournier, 2019) acquired from 25 StD, 29 major depressive disorder(MDD), and 23 healthy controls(HC). Hubs and principal edges defined using the global and regional graph metrics (Rubinov, 2010; Sprons, 2005) were compared between groups and examined for associations with resilience(Resilience Appraisal Scale), self-reproach(7th item of the Patient Health Questionnaire-9), spatial planning(One Touch Stockings of Cambridge), and response failure(Rapid Visual Processing).
Results:
The right insula revealed lower centralities and lower edge betweenness centrality of white matter-based structural connectivity(EBCWM) with the left thalamus in StD than in MDD. The EBCWM between the right insula and the right isthmus cingulate and centralities of the left temporal pole and right isthmus cingulate were correlated with resilience and self-reproach. The right supramarginal gyrus was associated with resilience and spatial planning in the centralities and EBCWM of the right caudate. The left thalamus exhibited higher centralities and EBCWM than the right thalamus, left putamen, and left superior frontal gyrus in StD than in HC. The EBCWM, including the right insula, thalamus, and/or putamen, were related to resilience and response failure.
Conclusions:
The centralities of the structural connections among the salience-default mode-dorsal striatal-executive control networks underlie the associations among resilience, self-reproach, and executive function in StD.
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1
Emotion, Motivation and Social Neuroscience:
Emotion and Motivation Other
Higher Cognitive Functions:
Executive Function, Cognitive Control and Decision Making
Modeling and Analysis Methods:
Connectivity (eg. functional, effective, structural) 2
Diffusion MRI Modeling and Analysis
Keywords:
Affective Disorders
Cognition
Computational Neuroscience
Emotions
MRI
Psychiatric Disorders
WHITE MATTER IMAGING - DTI, HARDI, DSI, ETC
1|2Indicates the priority used for review
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Please indicate below if your study was a "resting state" or "task-activation” study.
Other
Healthy subjects only or patients (note that patient studies may also involve healthy subjects):
Patients
Was this research conducted in the United States?
No
Were any human subjects research approved by the relevant Institutional Review Board or ethics panel?
NOTE: Any human subjects studies without IRB approval will be automatically rejected.
Yes
Were any animal research approved by the relevant IACUC or other animal research panel?
NOTE: Any animal studies without IACUC approval will be automatically rejected.
Not applicable
Please indicate which methods were used in your research:
Diffusion MRI
Computational modeling
For human MRI, what field strength scanner do you use?
3.0T
Which processing packages did you use for your study?
Free Surfer
Other, Please list
-
MRtrix, Brain Connectivity Toolbox
Provide references using APA citation style.
Desikan, R.S., Ségonne, F., Fischl, B., Quinn, B.T., Dickerson, B.C., Blacker, D., Buckner, R.L., Dale, A.M., Maguire, R.P., Hyman, B.T., Albert, M.S., Killiany, R.J., 2006. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31 (3), 968-980.
Rubinov, M., Sporns, O., 2010. Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52 (3), 1059-1069.
Sporns, O., Tononi, G., Kotter, R., 2005. The human connectome: A structural description of the human brain. PLoS Comput Biol 1 (4), e42.
Tournier, J.D., Smith, R., Raffelt, D., Tabbara, R., Dhollander, T., Pietsch, M., Christiaens, D., Jeurissen, B., Yeh, C.H., Connelly, A., 2019. MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. Neuroimage 202, 116137.
No