Cognitive control neuroimaging measures differentiate between those with and without future recurrence of depression
Autor: | Jonathan P. Stange, Lisanne M. Jenkins, Sophie R. DelDonno, Yi Shin Chang, Scott A. Langenecker, Runa Bhaumik, Olusola Ajilore, Alessandra M. Passarotti, Katie L. Bessette, Rachel H. Jacobs |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Male
ROI region of interest lcsh:RC346-429 0302 clinical medicine CC CCN Cognition UIC University of Illinois at Chicago Neural Pathways PCIT Percent Correct Inhibition Trials Young adult Prospective cohort study Depression (differential diagnoses) Brain Mapping SGAC subgenual anterior cingulate MFG middle frontal gyrus Depression Brain Regular Article Neurology hMDD history of Major Depressive Disorder UM University of Michigan Major depressive disorder lcsh:R858-859.7 Female Adult medicine.medical_specialty Adolescent Cognitive Neuroscience ICC Intraclass Correlation Coefficient Neuroimaging rs-fMRI resting state functional magnetic resonance imaging lcsh:Computer applications to medicine. Medical informatics behavioral disciplines and activities PGNG Parametric Go/No-Go Test 03 medical and health sciences SEN Salience and Emotion Network Young Adult Physical medicine and rehabilitation medicine Middle frontal gyrus Humans Radiology Nuclear Medicine and imaging Cognitive Control Cognitive Control Network lcsh:Neurology. Diseases of the nervous system Depressive Disorder Major Resting state fMRI business.industry Reproducibility of Results medicine.disease 030227 psychiatry Neurology (clinical) business HDRS Hamilton Depression Rating Scale 030217 neurology & neurosurgery |
Zdroj: | NeuroImage: Clinical, Vol 20, Iss, Pp 1001-1009 (2018) NeuroImage : Clinical |
ISSN: | 2213-1582 |
Popis: | Background Major Depressive Disorder (MDD) is a prevalent, disruptive illness. A majority of those with MDD are at high risk for recurrence and increased risk for morbidity and mortality. This study examined whether multimodal baseline (and retest) Cognitive Control performance and neuroimaging markers (task activation and neural connectivity between key brain nodes) could differentiate between those with and without future recurrence of a major depressive (MD) episode within one year. We hypothesized that performance and neuroimaging measures of Cognitive Control would identify markers that differ between these two groups. Methods A prospective cohort study of young adults (ages 18–23) with history (h) of early-onset MDD (N = 60), now remitted, and healthy young adults (N = 49). Baseline Cognitive Control measures of performance, task fMRI and resting state connectivity (and reliability retest 4–12 weeks later) were used to compare those with future recurrence of MDD (N = 21) relative to those without future recurrence of MDD (N = 34 with resilience). The measures tested were (1) Parametric Go/No-Go (PGNG) performance, and task activation for (2) PGNG Correct Rejections, (3) PGNG Commission errors, and (4 & 5), resting state connectivity analyses of Cognitive Control Network to and from subgenual anterior cingulate. Results Relative to other groups at baseline, the group with MDD Recurrence had less bilateral middle frontal gyrus activation during commission errors. MDD Recurrence exhibited greater connectivity of right middle frontal gyrus to subgenual anterior cingulate (SGAC). SGAC connectivity was also elevated in this group to numerous regions in the Cognitive Control Network. Moderate to strong ICCs were present from test to retest, and highest for rs-fMRI markers. There were modest, significant correlations between task, connectivity and behavioral markers that distinguished between groups. Conclusion Markers of Cognitive Control function could identify those with early course MD who are at risk for depression recurrence. Those at high risk for recurrence would benefit from maintenance or preventative treatments. Future studies could test and validate these markers as potential predictors, accounting for sample selection and bias in feature detection. Graphical abstract Unlabelled Image Highlights • Tools are needed to increase identification of MDD recurrence • Cognitive control behavior and depression symptoms have been predictive of recurrence in prior studies, but with low accuracy • In remitted Major Depressive Disorder, those who will go on to have future depressive episodes differed in cognitive control activation and connectivity • Symptoms, performance, task activation, and seed-based connectivity can contribute to identification of risk for recurrence |
Databáze: | OpenAIRE |
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