Cognitive Control Neuroimaging Measures Differentiate Between Those with and Without Future Recurrence of Depression

Overview

Journal Neuroimage Clin

Publisher Elsevier

Specialties Neurology
Radiology

Date 2018 Oct 16

PMID 30321791

Citations 19

Authors

Scott A Langenecker

Lisanne M Jenkins

Jonathan P Stange

Yi-Shin Chang

Sophie R DelDonno

Katie L Bessette

Alessandra M Passarotti

Runa Bhaumik

Olusola Ajilore

Rachel H Jacobs

Affiliations

Soon will be listed here.

Abstract

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.

Citing Articles

Integrating dynamic psychophysiological indices across time and contexts: Elucidating mechanisms, risk markers, and intervention targets.

Stange J Psychophysiology. 2024; 61(10):e14630.

PMID: 39082831 PMC: 11473238. DOI: 10.1111/psyp.14630.

Functional connectivity of salience and affective networks among remitted depressed patients predicts episode recurrence.

Dunlop B, Cha J, Choi K, Nemeroff C, Craighead W, Mayberg H Neuropsychopharmacology. 2023; 48(13):1901-1909.

PMID: 37491672 PMC: 10584833. DOI: 10.1038/s41386-023-01653-w.

Trait- and state-like co-activation pattern dynamics in current and remitted major depressive disorder.

Liu C, Belleau E, Dong D, Sun X, Xiong G, Pizzagalli D J Affect Disord. 2023; 337:159-168.

PMID: 37245549 PMC: 10897955. DOI: 10.1016/j.jad.2023.05.074.

Reduced connectivity of the cognitive control neural network at rest in young adults who had their first drink of alcohol prior to age 18.

Jacobson M, Jenkins L, Feldman D, Crane N, Langenecker S Psychiatry Res Neuroimaging. 2023; 332:111642.

PMID: 37086604 PMC: 10247408. DOI: 10.1016/j.pscychresns.2023.111642.

Editorial: Highlights in psychopathology: Mental health among young adults.

Meneguzzo P, Passarotti A, Demir Kacan S Front Psychol. 2023; 14:1163957.

PMID: 37034910 PMC: 10074309. DOI: 10.3389/fpsyg.2023.1163957.

References

Chekroud A, Lane C, Ross D . Computational Psychiatry: Embracing Uncertainty and Focusing on Individuals, Not Averages. Biol Psychiatry. 2017; 82(6):e45-e47. PMC: 5712404. DOI: 10.1016/j.biopsych.2017.07.011. View

Collins G, Reitsma J, Altman D, Moons K . Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement. BMC Med. 2015; 13:1. PMC: 4284921. DOI: 10.1186/s12916-014-0241-z. View

Kovacs M, Obrosky S, George C . The course of major depressive disorder from childhood to young adulthood: Recovery and recurrence in a longitudinal observational study. J Affect Disord. 2016; 203:374-381. PMC: 4975998. DOI: 10.1016/j.jad.2016.05.042. View

Geller B, Craney J, Bolhofner K, Nickelsburg M, Williams M, Zimerman B . Two-year prospective follow-up of children with a prepubertal and early adolescent bipolar disorder phenotype. Am J Psychiatry. 2002; 159(6):927-33. DOI: 10.1176/appi.ajp.159.6.927. View

Gueorguieva R, Chekroud A, Krystal J . Trajectories of relapse in randomised, placebo-controlled trials of treatment discontinuation in major depressive disorder: an individual patient-level data meta-analysis. Lancet Psychiatry. 2017; 4(3):230-237. PMC: 5340978. DOI: 10.1016/S2215-0366(17)30038-X. View

Klerman G, Weissman M . The course, morbidity, and costs of depression. Arch Gen Psychiatry. 1992; 49(10):831-4. DOI: 10.1001/archpsyc.1992.01820100075013. View

Crane N, Jenkins L, Bhaumik R, Dion C, Gowins J, Mickey B . Multidimensional prediction of treatment response to antidepressants with cognitive control and functional MRI. Brain. 2017; 140(2):472-486. PMC: 5278310. DOI: 10.1093/brain/aww326. View

Lythe K, Moll J, Gethin J, Workman C, Green S, Lambon Ralph M . Self-blame-Selective Hyperconnectivity Between Anterior Temporal and Subgenual Cortices and Prediction of Recurrent Depressive Episodes. JAMA Psychiatry. 2015; 72(11):1119-26. DOI: 10.1001/jamapsychiatry.2015.1813. View

Levinson D, Evgrafov O, Knowles J, Potash J, Weissman M, Scheftner W . Genetics of recurrent early-onset major depression (GenRED): significant linkage on chromosome 15q25-q26 after fine mapping with single nucleotide polymorphism markers. Am J Psychiatry. 2007; 164(2):259-64. DOI: 10.1176/ajp.2007.164.2.259. View

10.

Greenberg P, Stiglin L, Finkelstein S, Berndt E . The economic burden of depression in 1990. J Clin Psychiatry. 1993; 54(11):405-18. View

11.

Langenecker S, Caveney A, Giordani B, Young E, Nielson K, Rapport L . The sensitivity and psychometric properties of a brief computer-based cognitive screening battery in a depression clinic. Psychiatry Res. 2007; 152(2-3):143-54. DOI: 10.1016/j.psychres.2006.03.019. View

12.

Margulies D, Kelly A, Uddin L, Biswal B, Castellanos F, Milham M . Mapping the functional connectivity of anterior cingulate cortex. Neuroimage. 2007; 37(2):579-88. DOI: 10.1016/j.neuroimage.2007.05.019. View

13.

Bhaumik R, Jenkins L, Gowins J, Jacobs R, Barba A, Bhaumik D . Multivariate pattern analysis strategies in detection of remitted major depressive disorder using resting state functional connectivity. Neuroimage Clin. 2017; 16:390-398. PMC: 5570580. DOI: 10.1016/j.nicl.2016.02.018. View

14.

Votruba K, Rapport L, Whitman R, Johnson A, Langenecker S . Personality differences among patients with chronic aphasia predict improvement in speech-language therapy. Top Stroke Rehabil. 2013; 20(5):421-31. DOI: 10.1310/tsr2005-421. View

15.

Segal Z, Pearson J, Thase M . Challenges in preventing relapse in major depression. Report of a National Institute of Mental Health Workshop on state of the science of relapse prevention in major depression. J Affect Disord. 2003; 77(2):97-108. DOI: 10.1016/s0165-0327(02)00112-x. View

16.

Supekar K, Musen M, Menon V . Development of large-scale functional brain networks in children. PLoS Biol. 2009; 7(7):e1000157. PMC: 2705656. DOI: 10.1371/journal.pbio.1000157. View

17.

DelDonno S, Jenkins L, Crane N, Nusslock R, Ryan K, Shankman S . Affective traits and history of depression are related to ventral striatum connectivity. J Affect Disord. 2017; 221:72-80. PMC: 5562158. DOI: 10.1016/j.jad.2017.06.014. View

18.

Jenkins L, Stange J, Barba A, DelDonno S, Kling L, Briceno E . Integrated cross-network connectivity of amygdala, insula, and subgenual cingulate associated with facial emotion perception in healthy controls and remitted major depressive disorder. Cogn Affect Behav Neurosci. 2017; 17(6):1242-1254. PMC: 5803100. DOI: 10.3758/s13415-017-0547-3. View

19.

Chen F, Lv X, Fang J, Yu S, Sui J, Fan L . The effect of body-mind relaxation meditation induction on major depressive disorder: A resting-state fMRI study. J Affect Disord. 2015; 183:75-82. DOI: 10.1016/j.jad.2015.04.030. View

20.

Chekroud A, Zotti R, Shehzad Z, Gueorguieva R, Johnson M, Trivedi M . Cross-trial prediction of treatment outcome in depression: a machine learning approach. Lancet Psychiatry. 2016; 3(3):243-50. DOI: 10.1016/S2215-0366(15)00471-X. View