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Meta-analysis of Functional Neuroimaging of Major Depressive Disorder in Youth
- Source :
- JAMA psychiatry. 72(10)
- Publication Year :
- 2015
-
Abstract
- Despite its high prevalence and morbidity, the underlying neural basis of major depressive disorder (MDD) in youth is not well understood.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.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.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.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.Abnormal levels of activation in youth diagnosed as having MDD compared with control participants during a variety of affective processing and executive functioning tasks.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.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.
- Subjects :
- medicine.medical_specialty
Ventrolateral prefrontal cortex
Adolescent
Prefrontal Cortex
Gyrus Cinguli
Executive Function
Young Adult
Thalamus
Functional neuroimaging
medicine
Humans
Psychiatry
Child
Anterior cingulate cortex
Default mode network
Cerebral Cortex
Depressive Disorder, Major
medicine.diagnostic_test
Functional Neuroimaging
Anhedonia
Brain
medicine.disease
Magnetic Resonance Imaging
Temporal Lobe
Dorsolateral prefrontal cortex
Psychiatry and Mental health
Affect
medicine.anatomical_structure
Case-Control Studies
Child, Preschool
Major depressive disorder
Parahippocampal Gyrus
Occipital Lobe
medicine.symptom
Caudate Nucleus
Psychology
Functional magnetic resonance imaging
Clinical psychology
Subjects
Details
- ISSN :
- 21686238
- Volume :
- 72
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- JAMA psychiatry
- Accession number :
- edsair.doi.dedup.....87f1c41d879125806038cdbd7ebb08a8