The ability to regulate emotions is an important part of adaptive functioning in society. Advances in cognitive and affective neuroscience and biological psychiatry have facilitated examination of neural systems that may be important for emotion regulation. In this critical review we first develop a neural model of emotion regulation that includes neural systems implicated in different voluntary and automatic emotion regulatory subprocesses. We then use this model as a theoretical framework to examine functional neural abnormalities in these neural systems that may predispose to the development of a major psychiatric disorder characterized by severe emotion dysregulation, bipolar disorder.

A neural model of voluntary and automatic emotion regulation: implications for understanding the pathophysiology and neurodevelopment of bipolar disorder.

Context: Despite 25 years of structural imaging in bipolar disorder, brain regions affected in the disorder are ill defined. 

Objectives: To use meta-analytical techniques to investigate structural brain changes in bipolar disorder and to assess the effect of medication use and demographic and clinical variables. 

Data sources: The MEDLINE, EMBASE, and PsycINFO databases were searched from 1980-2007 for studies using magnetic resonance imaging or x-ray computed tomography to compare brain structure in patients with bipolar disorder and controls. 

Study selection: We identified 1471 unique publications from which 141 studies were included in a database and 98 were selected for meta-analysis. 

Data extraction: Twenty-six demographic and clinical variables were extracted from each study where available. For the meta-analysis, mean structure size and standard deviation were extracted for continuous variables, and numbers of patients and controls with an abnormality were extracted for binary variables. 

Data synthesis: Bipolar disorder was associated with lateral ventricle enlargement (effect size = 0.39; 95% confidence interval, 0.24-0.55; P = 8 x 10(-7)) and increased rates of deep white matter hyperintensities (odds ratio = 2.49; 95% confidence interval, 1.64-3.79; P = 2 x 10(-5)) but not periventricular hyperintensities. Gray matter volume increased among patients when the proportion of patients using lithium increased (P = .004). Calculations from this meta-analysis show current imaging studies (which typically examine 8 regions) have a 34% chance of making a type I error. Type II errors are also appreciable (for example, 70% when measuring the lateral ventricular volume in a typical study involving 25 patients and 33 controls). 

Conclusions: The meta-analyses revealed robust but regionally nonspecific changes of brain structure in bipolar disorder. Individual studies will remain underpowered unless sample size is increased or improvements in phenotypic selection and imaging methods are made to reduce within-study heterogeneity. The provision of online databases, as illustrated herein, may facilitate a more refined design and analysis of structural imaging data sets in bipolar disorder.

https://jamanetwork.com/journals/jamapsychiatry/articlepdf/210132/yma80001_1017_1032.pdf

Meta-analysis, database, and meta-regression of 98 structural imaging studies in bipolar disorder.

Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging.

Bipolar and Major Depressive Disorder: Neuroimaging the Developmental-Degenerative Divide

Allostatic load in bipolar disorder: implications for pathophysiology and treatment.

Background: Youths with bipolar disorder are ideal for studying illness pathophysiology given their early presentation, lack of extended treatment, and high genetic loading. Adult bipolar disorder MRI studies have focused increasingly on limbic structures and the thalamus because of their role in mood and cognition. On the basis of adult studies, the authors hypothesized a priori that youths with bipolar disorder would have amygdalar, hippocampal, and thalamic volume abnormalities. METHOD: Forty-three youths 6–16 years of age with DSM-IV bipolar disorder (23 male, 20 female) and 20 healthy comparison subjects (12 male, eight female) similar in age and sex underwent structured and clinical interviews, neurological examination, and cognitive testing. Differences in limbic and thalamic brain volumes, on the logarithmic scale, were tested using a two-way (diagnosis and sex) univariate analysis of variance, with total cerebral volume and age controlled. RESULTS: The subjects with bipolar disorder had smaller h...

https://ajp.psychiatryonline.org/doi/pdfplus/10.1176/appi.ajp.162.7.1256

Structural brain magnetic resonance imaging of limbic and thalamic volumes in pediatric bipolar disorder

Treating a Child With Asperger’s Disorder and Comorbid Bipolar Disorder

https://neurodevelopmentcenter.com/wp-content/uploads/2013/01/Emerging-Interventions-chapter.pdf

Sufen Chiu

Papers

Structural brain magnetic resonance imaging of limbic and thalamic volumes in pediatric bipolar disorder

Treating a Child With Asperger’s Disorder and Comorbid Bipolar Disorder

Emerging brain-based interventions for children and adolescents: overview and clinical perspective