F133. Cerebral Blood Flow is Altered According to Mood States in Adolescents With Bipolar Disorder

Toma, Simina; MacIntosh, Bradley J.; Grigorian, Anahit; Fiksenbaum, Lisa; Robertson, Andrew D.; Goldstein, Benjamin I.

doi:10.1016/j.biopsych.2019.03.670

Cited by 8 publications

(5 citation statements)

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“… 19 , 51 Additionally, CBF levels in adolescent bipolar disorder are known to vary according to mood state. 52 Therefore, lower CBF covariance between the angular gyrus and the pre-/post-central gyri may reflect reduced functional connectivity between the pairs of regions, or inconsistent functional associations resulting from fluctuating CBF levels across the included depressive, euthymic, and hypomanic participants. The current study likely benefitted from the within-group between-participant variability; however, characterizing mood states as potential drivers of the covariation patterns is beyond the scope of the current work and more research is needed on this topic.…”

Section: Discussionmentioning

confidence: 99%

Correspondence between patterns of cerebral blood flow and structure in adolescents with and without bipolar disorder

Luciw

Toma

Goldstein

et al. 2021

J Cereb Blood Flow Metab

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Adolescence is a period of rapid development of the brain’s inherent functional and structural networks; however, little is known about the region-to-region organization of adolescent cerebral blood flow (CBF) or its relationship to neuroanatomy. Here, we investigate both the regional covariation of CBF MRI and the covariation of structural MRI, in adolescents with and without bipolar disorder. Bipolar disorder is a disease with increased onset during adolescence, putative vascular underpinnings, and evidence of anomalous CBF and brain structure. In both groups, through hierarchical clustering, we found CBF covariance was principally described by clusters of regions circumscribed to the left hemisphere, right hemisphere, and the inferior brain; these clusters were spatially reminiscent of cerebral vascular territories. CBF covariance was associated with structural covariance in both the healthy group (n = 56; r = 0.20, p < 0.0001) and in the bipolar disorder group (n = 68; r = 0.36, p < 0.0001), and this CBF-structure correspondence was higher in bipolar disorder ( p = 0.0028). There was lower CBF covariance in bipolar disorder compared to controls between the left angular gyrus and pre- and post-central gyri. Altogether, CBF covariance revealed distinct brain organization, had modest correspondence to structural covariance, and revealed evidence of differences in bipolar disorder.

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Section: Discussionmentioning

confidence: 99%

Correspondence between patterns of cerebral blood flow and structure in adolescents with and without bipolar disorder

Luciw

Toma

Goldstein

et al. 2021

J Cereb Blood Flow Metab

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“…In other patient populations, including Alzheimer's disease, hypoperfusion is associated with reductions in brain volume (Benedictus et al., 2014 ); even subtle perfusion deficits during the key developmental epoch of adolescence may be consequential. Based on prior findings from our group, it appears that adolescents with BD have elevated resting cerebral perfusion (Toma, MacIntosh, et al, 2019 ), which may be related to known deficits in cerebral metabolism and mitochondrial function in BD (Andreazza et al., 2018 ). Relatedly, higher metabolism in those regions may be associated with greater inflammation and oxidative stress, which contribute to vascular endothelial dysfunction (Goldstein, 2017 ).…”

Section: Discussionmentioning

confidence: 53%

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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“…These regions included the cingulate gyrus and bilateral frontal pole, which have been previously identi fied in studies of CBF in youth BD; these regions contrib ute to reward processing in the brain. 14,15,39 The composite pattern also showed a set of regions with significantly lower relative CBF among youth with BD, compared with healthy controls. These included the insular gyrus, frontal gyrus and the ventral and dorsal striatum, which are reward and moodrelated regions that are thought to be central to the neurobiology of BD.…”

Section: Discussionmentioning

confidence: 89%

Classifying youth with bipolar disorder versus healthy youth using cerebral blood flow patterns

Luciw,

Grigorian,

Dimick

et al. 2023

jpn

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Background: Clinical neuroimaging studies often investigate group differences between patients and controls, yet multivariate imaging features may enable individual-level classification. This study aims to classify youth with bipolar disorder (BD) versus healthy youth using grey matter cerebral blood flow (CBF) data analyzed with logistic regressions. Methods: Using a 3 Tesla magnetic resonance imaging (MRI) system, we collected pseudo-continuous, arterial spin-labelling, resting-state functional MRI (rfMRI) and T 1 -weighted images from youth with BD and healthy controls. We used 3 logistic regression models to classify youth with BD versus controls, controlling for age and sex, using mean grey matter CBF as a single explanatory variable, quantitative CBF features based on principal component analysis (PCA) or relative (intensity-normalized) CBF features based on PCA. We also carried out a comparison analysis using rfMRI data. Results: The study included 46 patients with BD (mean age 17 yr, standard deviation [SD] 1 yr; 25 females) and 49 healthy controls (mean age 16 yr, SD 2 yr; 24 females). Global mean CBF and multivariate quantitative CBF offered similar classification perform ance that was above chance. The association between CBF images and the feature map was not significantly different between groups (p = 0.13); however, the multivariate classifier identified regions with lower CBF among patients with BD (ΔCBF = -2.94 mL/100 g/min; permutation test p = 0047). Classification performance decreased when considering rfMRI data. Limitations: We cannot comment on which CBF principal component is most relevant to the classification. Participants may have had various mood states, comorbidities, demo graphics and medication records. Conclusion: Brain CBF features can classify youth with BD versus healthy controls with above-chance accuracy using logistic regression. A global CBF feature may offer similar classification performance to distinct multivariate CBF features.

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F133. Cerebral Blood Flow is Altered According to Mood States in Adolescents With Bipolar Disorder

Cited by 8 publications

References 0 publications

Correspondence between patterns of cerebral blood flow and structure in adolescents with and without bipolar disorder

Correspondence between patterns of cerebral blood flow and structure in adolescents with and without bipolar disorder

Neurostructural correlates of retinal microvascular caliber in adolescent bipolar disorder

Classifying youth with bipolar disorder versus healthy youth using cerebral blood flow patterns

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