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
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