Meta-analysis of Functional Neuroimaging of Major Depressive Disorder in Youth
- PMID: 26332700
- DOI: 10.1001/jamapsychiatry.2015.1376
Meta-analysis of Functional Neuroimaging of Major Depressive Disorder in Youth
Abstract
Importance: Despite its high prevalence and morbidity, the underlying neural basis of major depressive disorder (MDD) in youth is not well understood.
Objectives: To identify in youth diagnosed as having MDD the most reliable neural abnormalities reported in existing functional neuroimaging studies and characterize their relations with specific psychological dysfunctions.
Data sources: Searches were conducted in PubMed and Web of Science to identify relevant studies published from November 2006 through February 2015. The current analysis took place from August 21, 2014, to March 28, 2015.
Study selection: We retained articles that conducted a comparison of youth aged 4 to 24 years diagnosed as having MDD and age-matched healthy controls using task-based functional magnetic resonance imaging and a voxelwise whole-brain approach.
Data extraction and synthesis: We extracted coordinates of brain regions exhibiting differential activity in youth with MDD compared with healthy control participants. Multilevel kernel density analysis was used to examine voxelwise between-group differences throughout the whole brain. Correction for multiple comparisons was performed by computing null hypothesis distributions from 10 000 Monte Carlo simulations and calculating the cluster size necessary to obtain the familywise error rate control at P < .05.
Main outcomes and measures: Abnormal levels of activation in youth diagnosed as having MDD compared with control participants during a variety of affective processing and executive functioning tasks.
Results: Compared with age-matched healthy control participants (n = 274), youth with MDD (n = 246) showed reliable patterns of abnormal activation, including the following task-general and task-specific effects: hyperactivation in subgenual anterior cingulate cortex (P < .05) and ventrolateral prefrontal cortex (P < .05) and hypoactivation in caudate (P < .01) across aggregated tasks; hyperactivation in thalamus (P < .03) and parahippocampal gyrus (P < .003) during affective processing tasks; hypoactivation in cuneus (P < .001), dorsal cingulate cortex (P < .05), and dorsal anterior insula (P < .05) during executive functioning tasks; hypoactivity in posterior insula (P < .005) during positive valence tasks; and hyperactivity in dorsolateral prefrontal cortex (P < .001) and superior temporal cortex (P < .003) during negative valence tasks.
Conclusions and relevance: Altered activations in several distributed brain networks may help explain the following seemingly disparate symptoms of MDD in youth: hypervigilance toward emotional stimuli from the overactivation of central hubs in the subgenual anterior cingulate cortex and thalamus that lead to a cascade of other symptoms; ineffective emotion regulation despite increased activation of the dorsolateral prefrontal cortex and ventrolateral prefrontal cortex during affective processing, which may reverse across development or the clinical course; maladaptive rumination and poor executive control from difficulties shifting from default mode network activity to task-positive network activity during cognitively demanding tasks; and anhedonia from hypoactivation of the cuneus and posterior insula during reward processing.
Similar articles
-
Alterations in patients with major depressive disorder before and after electroconvulsive therapy measured by fractional amplitude of low-frequency fluctuations (fALFF).J Affect Disord. 2019 Feb 1;244:92-99. doi: 10.1016/j.jad.2018.10.099. Epub 2018 Oct 9. J Affect Disord. 2019. PMID: 30326347 Free PMC article.
-
Altered task-specific deactivation in the default mode network depends on valence in patients with major depressive disorder.J Affect Disord. 2017 Jan 1;207:377-383. doi: 10.1016/j.jad.2016.08.042. Epub 2016 Oct 7. J Affect Disord. 2017. PMID: 27750155
-
Anhedonia and general distress show dissociable ventromedial prefrontal cortex connectivity in major depressive disorder.Transl Psychiatry. 2016 May 17;6(5):e810. doi: 10.1038/tp.2016.80. Transl Psychiatry. 2016. PMID: 27187232 Free PMC article.
-
[Structural and functional neuroanatomy of attention-deficit hyperactivity disorder (ADHD)].Encephale. 2009 Apr;35(2):107-14. doi: 10.1016/j.encep.2008.01.005. Epub 2008 Jul 7. Encephale. 2009. PMID: 19393378 Review. French.
-
Cortical and Subcortical Gray Matter Volume in Youths With Conduct Problems: A Meta-analysis.JAMA Psychiatry. 2016 Jan;73(1):64-72. doi: 10.1001/jamapsychiatry.2015.2423. JAMA Psychiatry. 2016. PMID: 26650724 Review.
Cited by
-
Multimodal abnormalities of brain structures in adolescents and young adults with major depressive disorder: An activation likelihood estimation meta-analysis.World J Psychiatry. 2024 Jul 19;14(7):1106-1117. doi: 10.5498/wjp.v14.i7.1106. eCollection 2024 Jul 19. World J Psychiatry. 2024. PMID: 39050198 Free PMC article.
-
Inflammation and immune system pathways as biological signatures of adolescent depression-the IDEA-RiSCo study.Transl Psychiatry. 2024 Jun 1;14(1):230. doi: 10.1038/s41398-024-02959-z. Transl Psychiatry. 2024. PMID: 38824135 Free PMC article.
-
Depression proteomic profiling in adolescents with transcriptome analyses in independent cohorts.Front Psychiatry. 2024 May 15;15:1372106. doi: 10.3389/fpsyt.2024.1372106. eCollection 2024. Front Psychiatry. 2024. PMID: 38812487 Free PMC article.
-
Subregions of the fusiform gyrus are differentially involved in the attentional mechanism supporting visual mental imagery in depression.Brain Imaging Behav. 2024 May 8. doi: 10.1007/s11682-024-00885-8. Online ahead of print. Brain Imaging Behav. 2024. PMID: 38717573
-
Reconfiguration of Structural and Functional Connectivity Coupling in Patient Subgroups With Adolescent Depression.JAMA Netw Open. 2024 Mar 4;7(3):e241933. doi: 10.1001/jamanetworkopen.2024.1933. JAMA Netw Open. 2024. PMID: 38470418 Free PMC article.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical