Insula and Amygdala Resting-state Functional Connectivity Differentiate Bipolar from Unipolar Depression

Overview

Journal Acta Psychiatr Scand

Specialty Psychiatry

Date 2017 Apr 4

PMID 28369737

Citations 38

Authors

E Ambrosi

D B Arciniegas

A Madan

K N Curtis

M A Patriquin

R E Jorge

G Spalletta

J C Fowler

B C Frueh

R Salas

Affiliations

Soon will be listed here.

Abstract

Objective: Distinguishing depressive episodes due to bipolar disorder (BD) or major depressive disorder (MDD) solely on clinical grounds is challenging. We aimed at comparing resting-state functional connectivity (rsFC) of regions subserving emotional regulation in similarly depressed BD and MDD.

Method: We enrolled 76 in-patients (BD, n = 36; MDD, n = 40) and 40 healthy controls (HC). A seed-based approach was used to identify regions showing different rsFC with the insula and the amygdala. Insular and amygdalar parcellations were then performed along with diagnostic accuracy of the main findings.

Results: Lower rsFC between the left insula and the left mid-dorsolateral prefrontal cortex and between bilateral insula and right frontopolar prefrontal cortex (FPPFC) was observed in BD compared to MDD and HC. These results were driven by the dorsal anterior and posterior insula (PI). Lower rsFC between the right amygdala and the left anterior hippocampus was observed in MDD compared to BD and HC. These results were driven by the centromedial and laterobasal amygdala. Left PI/right FPPC rsFC showed 78% accuracy differentiating BD and MDD.

Conclusion: rsFC of amygdala and insula distinguished between depressed BD and MDD. The observed differences suggest the possibility of differential pathophysiological mechanisms of emotional dysfunction in bipolar and unipolar depression.

Citing Articles

Distinct connectivity patterns in bipolar and unipolar depression: a functional connectivity multivariate pattern analysis study.

Pastrnak M, Klirova M, Bares M, Novak T BMC Neurosci. 2024; 25(1):46.

PMID: 39333843 PMC: 11428473. DOI: 10.1186/s12868-024-00895-8.

Salience network resting state functional connectivity during airway inflammation in asthma: A feature of mental health resilience?.

Laubacher C, Imhoff-Smith T, Klaus D, Frye C, Esnault S, Busse W Brain Behav Immun. 2024; 122:9-17.

PMID: 39097203 PMC: 11419731. DOI: 10.1016/j.bbi.2024.07.042.

Functional connectivity of the amygdala subnuclei in various mood states of bipolar disorder.

Krystal S, Gracia L, Piguet C, Henry C, Alonso M, Polosan M Mol Psychiatry. 2024; 29(11):3344-3355.

PMID: 38724567 DOI: 10.1038/s41380-024-02580-y.

Identifying misdiagnosed bipolar disorder using support vector machine: feature selection based on fMRI of follow-up confirmed affective disorders.

Jiang X, Cao B, Li C, Jia L, Jing Y, Cai W Transl Psychiatry. 2024; 14(1):9.

PMID: 38191549 PMC: 10774279. DOI: 10.1038/s41398-023-02703-z.

Common and distinct neural correlates of emotional processing in individuals at familial risk for major depressive disorder and bipolar disorder: A comparative meta-analysis.

Qin K, Pan N, Lei D, Zhang F, Yu Y, Sweeney J J Affect Disord. 2023; 348:97-106.

PMID: 38113944 PMC: 10846904. DOI: 10.1016/j.jad.2023.12.030.

References

Liu C, Ma X, Wu X, Li F, Zhang Y, Zhou F . Resting-state abnormal baseline brain activity in unipolar and bipolar depression. Neurosci Lett. 2012; 516(2):202-6. DOI: 10.1016/j.neulet.2012.03.083. View

Kroenke K, Spitzer R, Williams J . The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001; 16(9):606-13. PMC: 1495268. DOI: 10.1046/j.1525-1497.2001.016009606.x. View

Cullen K, Westlund M, Klimes-Dougan B, Mueller B, Houri A, Eberly L . Abnormal amygdala resting-state functional connectivity in adolescent depression. JAMA Psychiatry. 2014; 71(10):1138-47. PMC: 4378862. DOI: 10.1001/jamapsychiatry.2014.1087. View

Drysdale A, Grosenick L, Downar J, Dunlop K, Mansouri F, Meng Y . Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nat Med. 2016; 23(1):28-38. PMC: 5624035. DOI: 10.1038/nm.4246. View

Conway K, Compton W, Stinson F, Grant B . Lifetime comorbidity of DSM-IV mood and anxiety disorders and specific drug use disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. J Clin Psychiatry. 2006; 67(2):247-57. DOI: 10.4088/jcp.v67n0211. View

Behzadi Y, Restom K, Liau J, Liu T . A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage. 2007; 37(1):90-101. PMC: 2214855. DOI: 10.1016/j.neuroimage.2007.04.042. View

Cerullo M, Eliassen J, Smith C, Fleck D, Nelson E, Strawn J . Bipolar I disorder and major depressive disorder show similar brain activation during depression. Bipolar Disord. 2014; 16(7):703-12. PMC: 4213254. DOI: 10.1111/bdi.12225. View

Fowler J, Charak R, Elhai J, Allen J, Frueh B, Oldham J . Construct validity and factor structure of the difficulties in Emotion Regulation Scale among adults with severe mental illness. J Psychiatr Res. 2014; 58:175-80. DOI: 10.1016/j.jpsychires.2014.07.029. View

Mulders P, van Eijndhoven P, Schene A, Beckmann C, Tendolkar I . Resting-state functional connectivity in major depressive disorder: A review. Neurosci Biobehav Rev. 2015; 56:330-44. DOI: 10.1016/j.neubiorev.2015.07.014. View

10.

Chai X, Castanon A, Ongur D, Whitfield-Gabrieli S . Anticorrelations in resting state networks without global signal regression. Neuroimage. 2011; 59(2):1420-8. PMC: 3230748. DOI: 10.1016/j.neuroimage.2011.08.048. View

11.

Judd L, Akiskal H, Schettler P, Coryell W, Endicott J, Maser J . A prospective investigation of the natural history of the long-term weekly symptomatic status of bipolar II disorder. Arch Gen Psychiatry. 2003; 60(3):261-9. DOI: 10.1001/archpsyc.60.3.261. View

12.

Rey G, Piguet C, Benders A, Favre S, Eickhoff S, Aubry J . Resting-state functional connectivity of emotion regulation networks in euthymic and non-euthymic bipolar disorder patients. Eur Psychiatry. 2016; 34:56-63. DOI: 10.1016/j.eurpsy.2015.12.005. View

13.

Fox M, Raichle M . Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci. 2007; 8(9):700-11. DOI: 10.1038/nrn2201. View

14.

Cole D, Smith S, Beckmann C . Advances and pitfalls in the analysis and interpretation of resting-state FMRI data. Front Syst Neurosci. 2010; 4:8. PMC: 2854531. DOI: 10.3389/fnsys.2010.00008. View

15.

Hirschfeld R, Lewis L, Vornik L . Perceptions and impact of bipolar disorder: how far have we really come? Results of the national depressive and manic-depressive association 2000 survey of individuals with bipolar disorder. J Clin Psychiatry. 2003; 64(2):161-74. View

16.

Fowler J, Patriquin M, Madan A, Allen J, Frueh B, Oldham J . Early identification of treatment non-response utilizing the Patient Health Questionnaire (PHQ-9). J Psychiatr Res. 2015; 68:114-9. DOI: 10.1016/j.jpsychires.2015.06.018. View

17.

Power J, Barnes K, Snyder A, Schlaggar B, Petersen S . Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage. 2011; 59(3):2142-54. PMC: 3254728. DOI: 10.1016/j.neuroimage.2011.10.018. View

18.

Menon V . Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cogn Sci. 2011; 15(10):483-506. DOI: 10.1016/j.tics.2011.08.003. View

19.

Chang L, Yarkoni T, Khaw M, Sanfey A . Decoding the role of the insula in human cognition: functional parcellation and large-scale reverse inference. Cereb Cortex. 2012; 23(3):739-49. PMC: 3563343. DOI: 10.1093/cercor/bhs065. View

20.

Song Z, Zhang M, Huang P . Aberrant emotion networks in early major depressive disorder patients: an eigenvector centrality mapping study. Transl Psychiatry. 2016; 6:e819. PMC: 5070054. DOI: 10.1038/tp.2016.81. View