Journal article

Rostral anterior cingulate network effective connectivity in depressed adolescents and associations with treatment response in a randomized controlled trial

Alec J Jamieson, Ben J Harrison, Adeel Razi, Christopher G Davey

NEUROPSYCHOPHARMACOLOGY | SPRINGERNATURE | Published : 2021

Abstract

The rostral anterior cingulate cortex (rACC) is consistently implicated in the neurobiology of depression. While the functional connectivity of the rACC has been previously associated with treatment response, there is a paucity of work investigating the specific directional interactions underpinning these associations. We compared the fMRI resting-state effective connectivity of 94 young people with major depressive disorder and 91 healthy controls. Following the fMRI scan, patients were randomized to receive cognitive behavioral therapy for 12 weeks, plus either fluoxetine or a placebo. Using spectral dynamic causal modelling, we examined the effective connectivity of the rACC with eight ot..

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Grants

Awarded by National Health and Medical Research Council of Australia (NHMRC)


Awarded by NHMRC Career Development Fellowship


Awarded by Australian Research Council


Awarded by NHMRC Investigator Grant


Funding Acknowledgements

The authors thank Yara Toenders for her assistance in preprocessing the data and Hannah Savage for aiding in the creation of figures. We also thank Katerina Stephanou, Lisa Incerti and Rebecca Kerestes for contributions to data collection, as well as staff from the Sunshine Hospital Medical Imaging Department (Western Health, Melbourne). This work was supported by National Health and Medical Research Council of Australia (NHMRC) Project Grants (1064643) to BJH and to CGD (1024570). AJJ was supported by an Australian Government Research Training Program Scholarship. BJH was supported by a NHMRC Career Development Fellowship (1124472). CGD was supported by an NHMRC Career Development Fellowship (1061757). AR is funded by the Australian Research Council (DE170100128 and DP200100757) and NHMRC Investigator Grant (1194910).