Cortical Volume and Thickness Across Bipolar Disorder Subtypes in Adolescents: A Preliminary Study

Toma, Simina; Ah, Islam; Aws, Metcalfe; Rhb, Mitchell; Fiksenbaum, Lisa; MacIntosh, Bradley J.; Bi, Goldstein

doi:10.1089/cap.2017.0137

Cited by 10 publications

(4 citation statements)

References 87 publications

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“…This aligns with findings from two large-cohort studies by the ENIGMA bipolar consortium [ 20 , 21 ], indicating no subtype-specific (sub-)cortical GMVs differences. In contrast, prior literature found subtype-specific abnormalities [ 33 , 37 , 40 , 42 , 44 ], but results varied, potentially due to factors such as sample characteristics (e.g. small sample sizes or current mood state) or methodological differences (e.g.…”

Section: Discussionmentioning

confidence: 79%

“…Although these studies only allow tentative conclusions due to consistently small samples (mostly n < 30 per group) and varying methods, current evidence rather points to more severe WM microstructural impairments in BD-I compared with BD-II [ 41 ]. Regarding gray matter volumes (GMV), some studies found lower volumes in temporal [ 37 , 40 , 42 ], (pre-)frontal [ 37 , 40 , 42 ] and posterior cingulate regions [ 37 ] and in the putamen [ 33 ] in BD-I compared with BD-II, while others found no GMV differences between subtypes [ 20 , 21 , 36 , 43 , 44 ]. In conclusion, although there seems to be preliminary data attesting more pronounced WM and GM changes in BD-I compared with BD-II e.g.…”

Section: Introductionmentioning

confidence: 99%

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White and gray matter alterations in bipolar I and bipolar II disorder subtypes compared with healthy controls – exploring associations with disease course and polygenic risk

Thiel,

Lemke,

Winter

et al. 2024

Neuropsychopharmacol.

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Patients with bipolar disorder (BD) show alterations in both gray matter volume (GMV) and white matter (WM) integrity compared with healthy controls (HC). However, it remains unclear whether the phenotypically distinct BD subtypes (BD-I and BD-II) also exhibit brain structural differences. This study investigated GMV and WM differences between HC, BD-I, and BD-II, along with clinical and genetic associations. N = 73 BD-I, n = 63 BD-II patients and n = 136 matched HC were included. Using voxel-based morphometry and tract-based spatial statistics, main effects of group in GMV and fractional anisotropy (FA) were analyzed. Associations between clinical and genetic features and GMV or FA were calculated using regression models. For FA but not GMV, we found significant differences between groups. BD-I patients showed lower FA compared with BD-II patients (ptfce-FWE = 0.006), primarily in the anterior corpus callosum. Compared with HC, BD-I patients exhibited lower FA in widespread clusters (ptfce-FWE < 0.001), including almost all major projection, association, and commissural fiber tracts. BD-II patients also demonstrated lower FA compared with HC, although less pronounced (ptfce-FWE = 0.049). The results remained unchanged after controlling for clinical and genetic features, for which no independent associations with FA or GMV emerged. Our findings suggest that, at a neurobiological level, BD subtypes may reflect distinct degrees of disease expression, with increasing WM microstructure disruption from BD-II to BD-I. This differential magnitude of microstructural alterations was not clearly linked to clinical and genetic variables. These findings should be considered when discussing the classification of BD subtypes within the spectrum of affective disorders.

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Section: Discussionmentioning

confidence: 79%

Section: Introductionmentioning

confidence: 99%

White and gray matter alterations in bipolar I and bipolar II disorder subtypes compared with healthy controls – exploring associations with disease course and polygenic risk

Thiel,

Lemke,

Winter

et al. 2024

Neuropsychopharmacol.

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“…The cingulate cortex is a key brain region implicated in emotional regulation, cognition, and information processing (Strakowski et al., 2012 ). The importance of the ACC has been highlighted in studies of adult and youth with BD (Hibar et al., 2018 ; Phillips & Swartz, 2014 ; Toma, Islam, et al, 2019 ). Other regions identified in significant voxel‐wise clusters, including the rostral middle frontal gyrus, vlPFC, and lateral orbitofrontal cortex (OFC), are involved in emotion regulation, working memory, decision‐making, impulsivity, and reward function—all domains known to be impaired in BD (Beshkovet al., 2018 ; Chau et al., 2018 ; Lima et al., 2018 ; Rolls, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

Neurostructural correlates of retinal microvascular caliber in adolescent bipolar disorder

et al. 2021

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Objectives Vascular‐brain associations are well established in adults but neglected in youth and psychiatric populations, who are at greater cardiovascular risk. We therefore examined the association of retinal vascular caliber with regional brain structure in adolescents with and without bipolar disorder (BD). Methods One hundred and three adolescents (n = 51 BD, n = 52 healthy control [HC]) completed retinal fundus imaging, yielding arteriolar and venular diameters, followed by T1‐weighted 3‐Tesla MRI. Region of interest (ROI) analyses examined ventrolateral prefrontal cortex (vlPFC) and ventromedial prefrontal cortex (vmPFC), anterior cingulate cortex (ACC), amygdala, and hippocampus, complemented by vertex‐wise analyses. Linear regression assessed the association between retinal measures and brain structure, adjusting for covariates including age, sex, BMI, and intracranial volume (ICV). Results In the overall sample, arteriolar caliber was negatively associated with ACC volume (β = −0.20, puncorrected = .046) and surface area (β = −0.19, puncorrected = .049). There were no other significant ROI findings. Vertex‐wise analyses detected several significant positive bilateral associations of arteriovenous ratio (AVR) with volume and surface area in regions including rostral middle frontal gyrus (left p = .001; right p = .006), isthmus cingulate cortex (left and right p < .001), and left precuneus (p < .001). Significant negative associations were also observed for AVR (p = .03) and arteriolar caliber (p = .01), including a cluster encompassing the left rostral middle frontal gyrus and orbitofrontal cortical thickness. In the sole retinal‐by‐diagnosis interaction, greater AVR was more strongly associated with lower volume in the left middle temporal and fusiform gyri in BD versus HC (p = .004). Conclusion This study provides evidence that vascular‐brain associations are already evident in adolescence, suggesting that optimizing cardiovascular health may benefit the brain. This may be particularly relevant in BD and other brain disorders. Future research focusing on subpopulations where vascular‐brain associations may be especially strong, for whom vascular‐related interventions may be most indicated, is warranted.

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“…In these studies, regionof-interest (ROI)-based and data-driven methods were used to analyze CT in some regions and whole brain areas, respectively. In an ROI-based study, combining BD in adolescents and young adults, uncorrected results show that BD-II patients had reduced CT in anterior cingulate cortex compared with BD-I patients (17). Using data-driven methods, a study reports that both adult BD-I and BD-II shared lower CT in several frontal regions, but only the BD-I group showed thinner cortices in medial prefrontal and temporal regions relative to HCs (8).…”

Section: Introductionmentioning

confidence: 99%

Common and Specific Characteristics of Adolescent Bipolar Disorder Types I and II: A Combined Cortical Thickness and Structural Covariance Analysis

et al. 2022

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BackgroundBy calculating cortical thickness (CT) and cortical structural covariance (SC), we aimed to investigate cortical morphology and cortical inter-regional correlation alterations in adolescent bipolar disorder type I (BD-I) and type II (BD-II) patients.MethodsT1-weighted images from 36 BD-I and 22 BD-II patients and 19 healthy controls (HCs) were processed to estimate CT. CT values of the whole brain were compared among three groups. Cortical regions showing CT differences in groups were regarded as seeds for analyzing cortical SC differences between groups. The relationship between CT and clinical indices was further assessed.ResultsBoth BD groups showed cortical thinning in several frontal and temporal areas vs. HCs, and CT showed no significant difference between two BD subtypes. Compared to HCs, both BD groups exhibited reduced SC connections between left superior frontal gyrus (SFG) and right postcentral gyrus (PCG), left superior temporal gyrus (STG) and right pars opercularis, and left STG and right PCG. Compared with HCs, decreased SC connections between left STG and right inferior parietal gyrus (IPG) and right pars opercularis and right STG were only observed in the BD-I group, and left PCG and left SFG only in the BD-II group. CT of right middle temporal gyrus was negatively correlated with number of episodes in BD-II patients.ConclusionsAdolescent BD-I and BD-II showed commonly decreased CT while presenting commonly and distinctly declined SC connections. This study provides a better understanding of cortical morphology and cortical inter-regional correlation alterations in BD and crucial insights into neuroanatomical mechanisms and pathophysiology of different BD subtypes.

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Cortical Volume and Thickness Across Bipolar Disorder Subtypes in Adolescents: A Preliminary Study

Cited by 10 publications

References 87 publications

White and gray matter alterations in bipolar I and bipolar II disorder subtypes compared with healthy controls – exploring associations with disease course and polygenic risk

White and gray matter alterations in bipolar I and bipolar II disorder subtypes compared with healthy controls – exploring associations with disease course and polygenic risk

Neurostructural correlates of retinal microvascular caliber in adolescent bipolar disorder

Common and Specific Characteristics of Adolescent Bipolar Disorder Types I and II: A Combined Cortical Thickness and Structural Covariance Analysis

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