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Meta-Analysis
. 2014 Aug;71(8):926-35.
doi: 10.1001/jamapsychiatry.2014.660.

Developmental meta-analyses of the functional neural correlates of bipolar disorder

Affiliations
Meta-Analysis

Developmental meta-analyses of the functional neural correlates of bipolar disorder

Ezra Wegbreit et al. JAMA Psychiatry. 2014 Aug.

Abstract

Importance: Bipolar disorder (BD) is a debilitating mental illness associated with high costs to diagnosed individuals and society. Within the past 2 decades, increasing numbers of children and adolescents have been diagnosed as having BD. While functional magnetic resonance imaging (fMRI) studies have begun to investigate the neural mechanisms underlying BD, few have directly compared differences in youths with BD and adults with BD (hereafter BD-youths and BD-adults, respectively).

Objective: To test the hypothesis that BD-youths (<18 years old) would show greater convergence of amygdala hyperactivation and prefrontal cortical hypoactivation vs BD-adults.

Data sources: PubMed and PsycINFO databases were searched on July 17, 2013, for original, task-related coordinate-based fMRI articles.

Study selection: In total, 21 pediatric studies, 73 adult studies, and 2 studies containing distinct pediatric and adult groups within the same study met inclusion criteria for our ALE analyses.

Data extraction and synthesis: Coordinates of significant between-group differences were extracted from each published study. Recent improvements in GingerALE software were used to perform direct comparisons of pediatric and adult fMRI findings. We conducted activation likelihood estimation (ALE) meta-analyses directly comparing the voxelwise convergence of fMRI findings in BD-youths vs BD-adults, both relative to healthy control (HC) participants.

Results: Analyses of emotional face recognition fMRI studies showed significantly greater convergence of amygdala hyperactivation among BD-youths than BD-adults. More broadly, analyses of fMRI studies using emotional stimuli showed significantly greater convergence of hyperactivation among BD-youths than BD-adults in the inferior frontal gyrus and precuneus. In contrast, analyses of fMRI studies using nonemotional cognitive tasks and analyses aggregating emotional and nonemotional tasks showed significantly greater convergence of hypoactivation among BD-youths than BD-adults in the anterior cingulate cortex.

Conclusions and relevance: Our data suggest that amygdala, prefrontal, and visual system hyperactivation is important in the emotional dysfunction present in BD-youths, as well as that anterior cingulate cortex hypoactivation is relevant to the cognitive deficits in BD-youths. Future studies are required to determine if the developmental fMRI differences between BD-youths and BD-adults identified by our ALE meta-analyses are useful as brain-based diagnostic or treatment markers of BD, including either longitudinal neuroimaging studies of BD-youths as they become adults or cross-sectional imaging studies directly comparing BD-youths with BD-adults.

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Conflict of interest statement

All authors report no conflicts of interest.

Figures

Figure 1
Figure 1
Flow diagram of literature search. Note: BD = bipolar disorder; DTI = diffusion tensor imaging; EEG = electroencephalography; fMRI = functional magnetic resonance imaging; MEG = magnetoencephalography; MRS = magnetic resonance spectroscopy; NIRS = near-infrared spectroscopy; PET = positron emission tomography; SPECT = single-photon emission computed tomography; HC = healthy controls; VBM = voxel-based morphometry
Figure 2
Figure 2
Results from developmental contrasts of pair-wise activation likelihood estimation (ALE) analyses. Note: (A) Greater convergence of hyper-activation in bipolar disorder (BD)-youths than BD-adults in the emotional face perception tasks contrast (X=28, Y=−6, Z=−10; right amygdala, cluster size = 512 mm3) (B) Greater convergence of hyper-activation in BD-youths than BD-adults in the emotional tasks contrast (X=−34, Y=16, Z=−8; left inferior frontal gyrus, cluster size = 392 mm3,) (C) Greater convergence of hyper-activation in BD-youths than BD-adults in the emotional tasks contrast (X=−31, Y=18, Z=−9; left precuneus, cluster size = 344 mm3) (D) Greater convergence of hypo-activation in BD-youths than BD-adults in the non-emotional tasks contrast (X=9, Y=36, Z=7; right pre-genual anterior cingulate cortex, cluster size = 728 mm3) (E) Greater convergence of hypo-activation in BD-youths than BD-adults in the contrast including data from all tasks (X=8, Y=40, Z=12; right pre-genual anterior cingulate cortex, cluster size = 664 mm3). The right side of all coronal and axial images corresponds to the right side of the brain. All images thresholded at p<0.05, whole-brain corrected.

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