Neuroanatomical correlates of genetic risk for bipolar disorder: A voxel-based morphometry study in bipolar type I patients and healthy first degree relatives

Sarıçiçek, Aybala; Yalın, Nefize; Hıdıroğlu, Ceren; Çavuşoğlu, Berrin; Taş, Cumhur; Ceylan, Deniz; Zorlu, Nabi; Ada, Emel; Tunca, Zeliha; Özerdem, Ayşegül

doi:10.1016/j.jad.2015.06.055

Cited by 49 publications

(41 citation statements)

References 86 publications

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“…The most widely used technique is voxel-based morphometry (VBM). Others have found increased GM volume dispersed in the frontal lobe (Frangou, 2011;Saricicek et al, 2015;Tang et al, 2014), the temporal lobe (Haldane, Cunningham, Androutsos, & Frangou, 2008;Lochhead, Parsey, Oquendo, & Mann, 2004), the cingulate gyrus (Adler et al, 2007;Adler, Levine, DelBello, & Strakowski, 2005), and the putamen . Most of them have found decreased gray matter (GM) volume, especially in the frontal lobe (Brown et al, 2011;Cai et al, 2015;Janssen et al, 2008;McIntosh et al, 2004;Rossi et al, 2013;Singh et al, 2012), the temporal lobe (Ha, Ha, Kim, & Choi, 2009;Li et al, 2011;Wang et al, 2011), the parietal lobe (Doris, Belton, Ebmeier, Glabus, & Marshall, 2004;Nugent et al, 2006), the cingulate gyrus (Almeida et al, 2009;Yatham et al, 2007), and the parahippocampal gyrus (Dickstein et al, 2005;Lyoo et al, 2004).…”

Section: Introductionmentioning

confidence: 98%

Structural imaging biomarkers for bipolar disorder: Meta‐analyses of whole‐brain voxel‐based morphometry studies

Lü

Zhong

et al. 2018

Depress Anxiety

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Background: Bipolar disorder (BD) is a common and destructive psychiatric illness worldwide.Although it is known that BD is associated with morphological abnormalities of the brain, the regions implicated in BD remain unclear. Therefore, we aimed to update current knowledge on potential structural imaging biomarkers of BD. Methods: Studies published up to January 31, 2018, were identified by a comprehensive literature search of PubMed, EBSCO, and BrainMap voxel-based morphometry (VBM) database. Wholebrain VBM studies that examined gray matter (GM) abnormalities of group comparisons between BD and healthy controls (HC) and reported results as coordinates in a standard reference space were included. Different meta-analyses were performed by activation likelihood estimation (ALE) algorithm.Results: A total of 46 studies with 56 experiments, including 1720 subjects and 268 foci were included. Seven different meta-analyses were calculated separately across experiments reporting decreased or increased GM volume among BD, BDI, BD-adults, and BD-youths groups. Fifteen regions of significantly different GM volume between four groups and HC were identified. There were extensive GM deficits in the prefrontal and temporal cortex, and enlargements in the putamen, cingulate cortex, and precuneus. Conclusions:The results revealed that the thinning of prefrontal cortex was a key region in the pathophysiology of BD. The enlargement of the cingulate cortex may be implicated in a compensatory mechanism. It underscored important differences between BD-adults and BD-youths and specific biomarkers of three subgroups.

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Section: Introductionmentioning

confidence: 98%

Structural imaging biomarkers for bipolar disorder: Meta‐analyses of whole‐brain voxel‐based morphometry studies

Lü

Zhong

et al. 2018

Depress Anxiety

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“…Indeed, a growing body of evidence points to clinical (5–14), molecular (15–19), neurochemical (20–22), structural (23–39), and functional (40–44) abnormalities of the cerebellum in BP. The cerebellum is reciprocally connected to higher-level association areas in prefrontal (45) and posterior parietal (46) cortices and limbic regions in medial temporal lobe (47–49), and cerebellar dysfunction may mirror or contribute to well-established dysfunctions of these higher-level association areas in BP.…”

Section: Introductionmentioning

confidence: 99%

Aberrant Cerebellar Connectivity in Bipolar Disorder With Psychosis

Shinn

Roh²,

Ravichandran

et al. 2017

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

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Background The cerebellum, which modulates affect and cognition in addition to motor functions, may contribute substantially to the pathophysiology of mood and psychotic disorders, such as bipolar disorder. A growing literature points to cerebellar abnormalities in bipolar disorder. However, no studies have investigated the topographic representations of resting state cerebellar networks in bipolar disorder, specifically their functional connectivity to cerebral cortical networks. Methods Using a well-defined cerebral cortical parcellation scheme as functional connectivity seeds, we compared ten cerebellar resting state networks in 49 patients with bipolar disorder and a lifetime history of psychotic features and 55 healthy control participants matched for age, sex, and image signal-to-noise ratio. Results Patients with psychotic bipolar disorder showed reduced cerebro-cerebellar functional connectivity in somatomotor A, ventral attention, salience, and frontoparietal control A and B networks relative to healthy control participants. These findings were not significantly correlated with current symptoms. Conclusions Patients with psychotic bipolar disorder showed evidence of cerebro-cerebellar dysconnectivity in selective networks. These disease-related changes were substantial and not explained by medication exposure or substance use. Therefore, they may be mechanistically relevant to the underlying susceptibility to mood dysregulation and psychosis. Cerebellar mechanisms deserve further exploration in psychiatric conditions, and this study’s findings may have value in guiding future studies on pathophysiology and treatment of mood and psychotic disorders, in particular.

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“…Recent studies support the above findings with larger inferior frontal gyrus, left insula, smaller cerebellar, and left orbitofrontal gyrus GM volumes being shared both in BD-P and their FDR [58–60], and larger parahippocampal and left dorsolateral prefrontal cortex appeared only in BD-FDR [58, 59]. …”

Section: Resultsmentioning

confidence: 65%

“…The cerebellum also has a homeostatic role in affect regulation in addition to motor functions [59]. …”

Section: Resultsmentioning

confidence: 99%

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Neurobiology of Risk for Bipolar Disorder

Özerdem

Ceylan

Can

2016

Curr Treat Options Psych

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Opinion statementBipolar disorder (BD) is a chronic mental illness which follows a relapsing and remitting course and requires lifetime treatment. The lack of biological markers for BD is a major difficulty in clinical practice. Exploring multiple endophenotypes to fit in multivariate genetic models for BD is an important element in the process of finding tools to facilitate early diagnosis, early intervention, prevention of new episodes, and follow-up of treatment response in BD. Reviewing of studies on neuroimaging, neurocognition, and biochemical parameters in populations with high genetic risk for the illness can yield an integrative perspective on the neurobiology of risk for BD. The most up-to-date data reveals consistent deficits in executive function, response inhibition, verbal memory/learning, verbal fluency, and processing speed in risk groups for BD. Functional magnetic resonance imaging (fMRI) studies report alterations in the activity of the inferior frontal gyrus, medial prefrontal cortex, and limbic areas, particularly in the amygdala in unaffected first-degree relatives (FDR) of BD compared to healthy controls. Risk groups for BD also present altered immune and neurochemical modulation. Despite inconsistencies, accumulating data reveals cognitive and imaging markers for risk and to a less extent resilience of BD. Findings on neural modulation markers are preliminary and require further studies. Although the knowledge on the neurobiology of risk for BD has been inadequate to provide benefits for clinical practice, further studies on structural and functional changes in the brain, neurocognitive functioning, and neurochemical modulation have a potential to reveal biomarkers for risk and resilience for BD. Multimodal, multicenter, population-based studies with large sample size allowing for homogeneous subgroup analyses will immensely contribute to the elucidation of biological markers for risk for BD in an integrative model.

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Neuroanatomical correlates of genetic risk for bipolar disorder: A voxel-based morphometry study in bipolar type I patients and healthy first degree relatives

Cited by 49 publications

References 86 publications

Structural imaging biomarkers for bipolar disorder: Meta‐analyses of whole‐brain voxel‐based morphometry studies

Structural imaging biomarkers for bipolar disorder: Meta‐analyses of whole‐brain voxel‐based morphometry studies

Aberrant Cerebellar Connectivity in Bipolar Disorder With Psychosis

Neurobiology of Risk for Bipolar Disorder

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