Neurobiological findings in bipolar II disorder compared with findings in bipolar I disorder

A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning

Background

Transcriptomic profile differences between patients with bipolar disorder and healthy controls can be identified using machine learning and can provide information about the potential role of the cerebellum in the pathogenesis of bipolar disorder.With this aim, user-friendly, fully automated machine learning algorithms can achieve extremely high classification scores and disease-related predictive biosignature identification, in short time frames and scaled down to small datasets.

Method

A fully automated machine learning platform, based on the most suitable algorithm selection and relevant set of hyper-parameter values, was applied on a preprocessed transcriptomics dataset, in order to produce a model for biosignature selection and to classify subjects into groups of patients and controls. The parent GEO datasets were originally produced from the cerebellar and parietal lobe tissue of deceased bipolar patients and healthy controls, using Affymetrix Human Gene 1.0 ST Array.

Results

Patients and controls were classified into two separate groups, with no close-to-the-boundary cases, and this classification was based on the cerebellar transcriptomic biosignature of 25 features (genes), with Area Under Curve 0.929 and Average Precision 0.955. The biosignature includes both genes connected before to bipolar disorder, depression, psychosis or epilepsy, as well as genes not linked before with any psychiatric disease. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed participation of 4 identified features in 6 pathways which have also been associated with bipolar disorder.

Conclusion

Automated machine learning (AutoML) managed to identify accurately 25 genes that can jointly - in a multivariate-fashion - separate bipolar patients from healthy controls with high predictive power. The discovered features lead to new biological insights. Machine Learning (ML) analysis considers the features in combination (in contrast to standard differential expression analysis), removing both irrelevant as well as redundant markers, and thus, focusing to biological interpretation.

Neural correlates of impulsivity in bipolar disorder: A systematic review and clinical implications

Impulsivity is a common feature of bipolar disorder (BD) with ramifications for functional impairment and premature mortality. This PRISMA-guided systematic review aims to integrate findings on the neurocircuitry associated with impulsivity in BD. We searched for functional neuroimaging studies that examined rapid-response impulsivity and choice impulsivity using the Go/No-Go Task, Stop-Signal Task, and Delay Discounting Task. Findings from 33 studies were synthesized with an emphasis on the effect of mood state of the sample and affective salience of the task. Results suggest trait-like brain activation abnormalities in regions implicated in impulsivity that persist across mood states. During rapid-response inhibition, BD exhibit under-activation of key frontal, insular, parietal, cingulate, and thalamic regions, but over-activation of these regions when the task involves emotional stimuli. Delay discounting tasks with functional neuroimaging in BD are lacking, but hyperactivity of orbitofrontal and striatal regions associated with reward hypersensitivity may be related to difficulty delaying gratification. We propose a working model of neurocircuitry dysfunction underlying behavioral impulsivity in BD. Clinical implications and future directions are discussed.

Children with euthymic bipolar disorder during an emotional go/nogo task: Insights into the neural circuits of cognitive-emotional regulation

BACKGROUND

Pediatric bipolar disorder (PBD), manifested by alternating episodes of depression and mania, is more likely to relapse than adult BD and develop into chronic BD. Although it can be asymptomatic during the remission of PBD, subtle changes in the brain neural response can still exist. Abnormal activities in the neural circuits of cognitive-emotional regulation have been found in adult BD patients using fMRI. However, few fMRI studies focus on emotional regulation on cognitive function in euthymic PBD, especially during an emotional go/nogo task. Therefore, this study aims to compare differences in the activities of both emotional and cognitive circuits between euthymic BD children and healthy controls.

METHODS

18 euthymic PBD and 17 healthy subjects from 12 to 17 years of age were enrolled in our study. Simultaneous neural activity was recorded during the overall task and the effect of emotional factors on task performances was assessed.

RESULTS

There were no significant differences in behavioral performances between the PBD group and the control group. During a task with emotional versus neutral distractors, euthymic PBD patients showed increased activities in the DLPFC, inferior parietal lobule, superior/middle frontal gyrus, superior/middle temporal gyrus, insula, posterior cingulate gyrus and posterior cerebellum lobe relative to healthy controls. The insula and DLPFC activities in response to emotional versus neutral distractors were positively associated with the differences in false response errors.

CONCLUSIONS

This study confirms the enhanced neural activities in euthymic PBD during a task with emotional versus control distractors. These brain regions supporting the cognitive and emotional dysregulation of PBD mainly coincide with the salience and executive control networks. As neural responses are more sensitive than behavioral manifestations in euthymic PBD, our findings will inspire more clinical studies to unveil the characteristic neuromechanism of PBD.

Neuroanatomic and Functional Neuroimaging Findings

The search for brain morphology findings that could explain behavioral disorders has gone through a long path in the history of psychiatry. With the advance of brain imaging technology, studies have been able to identify brain morphology and neural circuits associated with the pathophysiology of mental illnesses, such as bipolar disorders (BD). Promising results have also shown the potential of neuroimaging findings in the identification of outcome predictors and response to treatment among patients with BD. In this chapter, we present brain imaging structural and functional findings associated with BD, as well as their hypothesized relationship with the pathophysiological aspects of that condition and their potential clinical applications.

Larger right inferior frontal gyrus volume and surface area in participants at genetic risk for bipolar disorders

BACKGROUND

Larger grey matter volume of the inferior frontal gyrus (IFG) is among the most replicated biomarkers of genetic risk for bipolar disorders (BD). However, the IFG is a heterogeneous prefrontal region, and volumetric findings can be attributable to changes in cortical thickness (CT), surface area (SA) or gyrification. Here, we investigated the morphometry of IFG in participants at genetic risk for BD.

METHODS

We quantified the IFG cortical grey matter volume in 29 affected, 32 unaffected relatives of BD probands, and 42 controls. We then examined SA, CT, and cortical folding in subregions of the IFG.

RESULTS

We found volumetric group differences in the right IFG, with the largest volumes in unaffected high-risk and smallest in control participants (F2,192 = 3.07, p = 0.01). The volume alterations were localized to the pars triangularis of the IFG (F2,97 = 4.05, p = 0.02), with no differences in pars opercularis or pars orbitalis. Pars triangularis volume was highly correlated with its SA [Pearson r(101) = 0.88, p < 0.001], which significantly differed between the groups (F2,97 = 4.45, p = 0.01). As with volume, the mean SA of the pars triangularis was greater in unaffected (corrected p = 0.02) and affected relatives (corrected p = 0.05) compared with controls. We did not find group differences in pars triangularis CT or gyrification.

CONCLUSIONS

These findings strengthen prior knowledge about the volumetric findings in this region and provide a new insight into the localization and topology of IFG alterations. The unique nature of rIFG morphology in BD, with larger volume and SA early in the course of illness, could have practical implications for detection of participants at risk for BD.

Neurochemical differences between bipolar disorder type I and II in superior temporal cortices: A proton magnetic resonance spectroscopy study

BACKGROUND

Despite the diagnostic challenges in categorizing bipolar disorder subtypes, bipolar I and II disorders (BD-I and BD-II respectively) are valid indices for researchers. Subtle neurobiological differences may underlie clinical differences between mood disorder subtypes. The aims of this study were to investigate neurochemical differences between bipolar disorder subtypes.

METHODS

Euthymic BD-II patients (n = 21) are compared with BD-I (n = 28) and healthy comparison subjects (HCs, n = 30). Magnetic Resonance Imaging (MRI) and proton spectroscopy (¹H MRS) were performed on a 3T Siemens Tim Trio system. MRS voxels were located in the left/right superior temporal cortices, and spectra acquired with the single voxel Point REsolved Spectroscopy Sequence (PRESS). The spectroscopic data were analyzed with LCModel (Version 6.3.0) software.

RESULTS

There were significant differences between groups in terms of glutamate [F = 6.27, p = 0.003], glutamate + glutamine [F = 6.08, p = 0.004], inositol containing compounds (Ino) (F = 9.25, p < 0.001), NAA [F = 7.63, p = 0.001] and creatine + phosphocreatine [F = 11.06, p < 0.001] in the left hemisphere and Ino [F = 5.65, p = 0.005] in the right hemisphere. Post-hoc comparisons showed that the BD-I disorder group had significantly lower metabolite levels in comparison to the BD-II and the HC groups.

LIMITATIONS

This was a cross-sectional study with a small sample size. In addition, patients were on various psychotropic medications, which may have impacted the results.

CONCLUSIONS

Neurochemical levels, in the superior temporal cortices, measured with ¹H-MRS discriminated between BD-II and BD-I. Although further studies are needed, one may speculate that the superior temporal cortices (particularly left hemispheric) play a critical role, whose pathology may be related to subtyping bipolar disorder.

P50 sensory gating is a trait marker of the bipolar spectrum

Sensory gating deficit, assessed by a paired auditory stimulus paradigm (P50), has been reported as a stable marker of schizophrenia. The aim of this study was to explore if this neurophysiological disturbance also fulfilled stability criteria in the bipolar disorder (BD) spectrum bipolar, as state independence is one of the main points to be considered as a potential endophenotype of the illness. The P50 evoked potential was studied in 95 healthy controls and 126 bipolar euthymic patients. Euthymia was established according to Van Gorp's criteria. Bipolar I and II subtypes were analyzed separately. The influence of a lifetime history of psychoses was also evaluated in the clinical sample. P50 gating was deficitary in all the subsamples of patients relative to healthy comparison subjects. Bipolar I patients with and without a history of psychosis showed higher P50 ratios than the other subgroups of patients, although these differences were not significant. P50 alterations were mainly due to a deficit in the inhibition of the second wave (test wave or S2) amplitude.

CONCLUSIONS

The findings suggest that this inhibitory deficit can be considered characteristic of the illness and that the intensity of the gating abnormality varies according to the severity of BD.

Brain structural signature of familial predisposition for bipolar disorder: replicable evidence for involvement of the right inferior frontal gyrus

BACKGROUND

To translate our knowledge about neuroanatomy of bipolar disorder (BD) into a diagnostic tool, it is necessary to identify the neural signature of predisposition for BD and separate it from effects of long-standing illness and treatment. Thus, we examined the associations among genetic risk, illness burden, lithium treatment, and brain structure in BD.

METHODS

This is a two-center, replication-design, structural magnetic resonance imaging study. First, we investigated neuroanatomic markers of familial predisposition by comparing 50 unaffected and 36 affected relatives of BD probands as well as 49 control subjects using modulated voxel-based morphometry. Second, we investigated effects of long-standing illness and treatment on the identified markers in 19 young participants early in the course of BD, 29 subjects with substantial burden of long-lasting BD and either minimal lifetime (n = 12), or long-term ongoing (n = 17) lithium treatment.

RESULTS

Five groups, including the unaffected and affected relatives of BD probands from each center as well as participants early in the course of BD showed larger right inferior frontal gyrus (rIFG) volumes than control subjects (corrected p < .001). The rIFG volume correlated negatively with illness duration (corrected p < .01) and, relative to the controls, was smaller among BD individuals with long-term illness burden and minimal lifetime lithium exposure (corrected p < .001). Li-treated subjects had normal rIFG volumes despite substantial illness burden.

CONCLUSIONS

Brain structural changes in BD may result from interplay between illness burden and compensatory processes, which may be enhanced by lithium treatment. The rIFG volume could aid in identification of subjects at risk for BD even before any behavioral manifestations.

Differential relations between fronto-limbic metabolism and executive function in patients with remitted bipolar I and bipolar II disorder

OBJECTIVES

The aim of this study was to investigate the relationship between resting brain glucose metabolism and cognitive profiles in patients with remitted bipolar I disorder (BD-I) and bipolar II disorder (BD-II). We hypothesized that BD-I patients (compared to BD-II patients) would perform worse on tests of cognitive function because of abnormal metabolism in the prefrontal cortex and other mood-related brain areas.

METHODS

Thirty-four patients with remitted bipolar disorder (BD) (BD-I = 17, BD-II = 17) under treatment and 17 well-matched healthy controls received both fluorodeoxyglucose ((18) F-FDG) positron emission tomography (PET) and neuropsychological tests of attention, memory, and executive function.

RESULTS

Clinical features in patients with BD-I and BD-II were comparable. Executive function, as indicated by performance on the Wisconsin Card Sorting Test, was significantly worse (i.e., higher percentage of errors, lower percentage of conceptual level responses, and fewer categories completed) in BD-I patients than in BD-II patients and healthy subjects. No difference in attention and memory tests was found among these three groups. Brain PET analysis showed that BD-I patients (compared to BD-II patients) had significantly lower glucose uptake in the bilateral anterior cingulum, insula, striatum, and part of the prefrontal cortex, and higher glucose uptake in the left parahippocampus. Further analyses revealed significant correlations between poor executive function and abnormal glucose uptake in other brain areas in BD-I patients.

CONCLUSIONS

There are neurobiological differences between subtypes of BD. BD-I is associated with more impaired fronto-limbic circuitry, which might account for reduced executive function in BD-I patients during remission.

Temperament and personality in bipolar II disorder

BACKGROUND

There is limited research examining temperament and personality in bipolar II disorder. We sought to determine any over-represented temperament and personality features in bipolar II disorder compared to other affective groups.

METHOD

Scores on a self-report measure of temperament and personality were examined in a sample of 443 participants diagnosed with unipolar, bipolar I and bipolar II disorder.

RESULTS

After controlling for age, gender, age of depression onset and current depression severity, those with bipolar II disorder were characterized by higher irritability, anxious worrying, self-criticism and interpersonal sensitivity scores, and with lower social avoidance scores compared to unipolar participants. No differences were found between bipolar sub-types on any temperament and personality sub-scales. Limitations included the lack of a control group, a relatively small sample of bipolar I participants, and with the cross-sectional design disallowing conclusions regarding premorbid personality traits as opposed to illness 'scarring' effects.

CONCLUSIONS

Further research should seek to clarify whether certain temperament and personality styles are over-represented in bipolar II disorder. Any over-represented characteristics may assist with diagnostic differentiation from phenomenologically similar conditions and lead to more appropriate clinical management.

Amygdala and hippocampal volumes in relatives of patients with bipolar disorder: a high-risk study

OBJECTIVE

Bipolar disorders (BD) have a strong genetic underpinning, yet no biological vulnerability markers for BD have yet been identified. To test whether amygdala or hippocampal volumes represent an endophenotype for BD, we measured mesiotemporal volumes in young affected and unaffected relatives of patients with BD (high-risk design).

METHOD

High-risk participants (aged 15 to 30 years) were recruited from families multiply affected with BD. They included 20 affected and 26 unaffected offspring of parents with primary mood disorders, matched by age and sex with 31 control subjects without a personal or family history of psychiatric disorders. Amygdala and hippocampal volumes were measured on 1.5 Tesla 3-dimensional anatomical magnetic resonance images using standard methods.

RESULTS

We found comparable amygdala and hippocampal volumes among unaffected relatives, affected high-risk patients, and control subjects. The exclusion of 6 medicated patients did not change the results. There were no differences between participants with family history of BD I, compared with participants with family history of BD II, or between subjects with family history of BD with psychotic symptoms, compared with subjects with family history of BD without psychotic symptoms.

CONCLUSIONS

Hippocampal and amygdala volume abnormalities were absent in unaffected and affected relatives of patients with BD and thus did not meet criteria for endophenotype.

Anterior cingulate volumes associated with trait impulsivity in individuals with bipolar disorder

OBJECTIVE

Impulsivity is associated with the clinical outcome and likelihood of risky behaviors among bipolar disorder (BD) patients. Our previous study showed an inverse relationship between impulsivity and orbitofrontal cortex (OFC) volume in healthy subjects. We hypothesized that BD patients would show an inverse relationship between impulsivity and volumes of the OFC, anterior cingulate cortex (ACC), medial prefrontal cortex, and amygdala, which have been implicated in the pathophysiology of BD.

METHODS

Sixty-three BD patients were studied (mean +/- SD age = 38.2 +/- 11.5 years; 79% female). The Barratt Impulsiveness Scale (BIS), version 11A, was used to assess trait impulsivity. Images were processed using SPM2 and an optimized voxel-based morphometry protocol. We examined the correlations between BIS scores and the gray matter (GM) and white matter (WM) volumes of the prespecified regions.

RESULTS

Left rostral ACC GM volume was inversely correlated with the BIS total score (t = 3.95, p(corrected) = 0.003) and the BIS motor score (t = 5.22, p(corrected) < 0.001). In contrast to our hypothesis, OFC volumes were not significantly associated with impulsivity in BD. No WM volume of any structure was significantly correlated with impulsivity. No statistical association between any clinical variable and the rostral ACC GM volumes reached significance.

CONCLUSIONS

Based on our previous findings and the current results, impulsivity may have a different neural representation in BD and healthy subjects, and the ACC may be involved in the pathophysiology of abnormal impulsivity regulation in BD patients.

Difference in binocular rivalry rate between patients with bipolar I and bipolar II disorders

OBJECTIVE

When dissimilar figures are presented to each eye individually, perception alternates spontaneously between each monocular view. This phenomenon, known as binocular rivalry, has been used as a powerful tool to investigate conscious visual awareness. Of clinical relevance, Pettigrew and Miller (Proc Biol Sci 1998; 265: 2141-2148) found slow perceptual alternation rates in patients with bipolar I disorder (BD-I). For a better understanding of differences between BD-I and bipolar II disorder (BD-II), we examined whether perceptual alternation rates of binocular rivalry differ between the two subtypes of bipolar disorder.

METHODS

The subjects comprised 25 healthy controls, 11 patients with BD-I, and 17 patients with BD-II. They underwent binocular rivalry examination. One-way analysis of variance was conducted to determine differences in the phase duration of binocular rivalry between the control, BD-I, and BD-II groups.

RESULTS

Significant differences were observed in the mean phase duration of binocular rivalry between the groups. Although the medication administered did not differ significantly between the BD-I and BD-II patients, the phase duration was significantly longer among the BD-I patients than the BD-II patients and controls, whereas no significant difference was observed in the phase duration between the BD-II patients and controls.

CONCLUSION

The present results reveal a significant difference in the mean phase duration of binocular rivalry between subjects with BD-I and those with BD-II, suggesting the presence of some neurobiological difference between these two subtypes of bipolar disorder.

Microstructural white matter changes in euthymic bipolar patients: a whole-brain diffusion tensor imaging study

OBJECTIVES

Brain structures of a distributed ventral-limbic and dorsal brain network have been associated with altered mood states and emotion regulation in affective disorders. So far, diffusion tensor imaging studies in bipolar patients have focused on frontal/prefrontal brain regions and found alterations in white matter integrity in manic, depressed, and euthymic bipolar patients, observed as changes in fractional anisotropy and mean diffusivity. To extend previous findings, we investigated whole-brain modifications in white matter integrity in euthymic bipolar patients with minimal manic and depressive symptoms.

METHODS

Twenty-two patients with a DSM-IV-TR diagnosis of bipolar I and II disorder in remission, with no lifetime or present comorbidities of substance abuse, and 21 sex- and age-matched healthy controls underwent diffusion tensor imaging with diffusion gradients applied along 41 directions. Fractional anisotropy and mean diffusivity group differences were explored using two voxel-based, whole-brain analyses that differ in their normalization approaches.

RESULTS

Fractional anisotropy was significantly increased in bipolar patients relative to healthy controls in medial frontal, precentral, inferior parietal, and occipital white matter. No group differences in mean diffusivity were found.

CONCLUSIONS

The result of increased fractional anisotropy in euthymic bipolar patients in the present study suggests increased directional coherence of white matter fibers in bipolar patients during remission.

Neuronal correlates of brain-derived neurotrophic factor Val66Met polymorphism and morphometric abnormalities in bipolar disorder

The brain-derived neurotrophic factor (BDNF) Val66Met polymorphism has been proposed as a possible candidate for involvement in the pathophysiology of bipolar disorder (BD). To determine whether an association exists between the BDNF Val66Met genotype and morphometric abnormalities of the brain regions involved in memory and learning in BD and healthy subjects. Forty-two BD patients and 42 healthy subjects were studied. Interactions between BDNF Val66Met genotype and diagnosis in gray (GM) volumes were analyzed using an optimized voxel-based morphometry technique. Declarative memory function was assessed with the California Verbal Learning Test II. Left and right anterior cingulate GM volumes showed a significant interaction between genotype and diagnosis such that anterior cingulate GM volumes were significantly smaller in the Val/Met BD patients compared with the Val/Val BD patients (left P=0.01, right P=0.01). Within-group comparisons revealed that the Val/Met carriers showed smaller GM volumes of the dorsolateral prefrontal cortex compared with the Val/Val subjects within the BD patient (P=0.01) and healthy groups (left P=0.03, right P=0.03). The Val/Met healthy subjects had smaller GM volumes of the left hippocampus compared with the Val/Val healthy subjects (P<0.01). There was a significant main effect of diagnosis on memory function (P=0.04), but no interaction between diagnosis and genotype was found (P=0.48). The findings support an association between the BDNF Val66Met genotype and differential gray matter content in brain structures, and suggest that the variation in this gene may play a more prominent role in brain structure differences in subjects affected with BD.

Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) collaborative update of CANMAT guidelines for the management of patients with bipolar disorder: update 2009

The Canadian Network for Mood and Anxiety Treatments (CANMAT) published guidelines for the management of bipolar disorder in 2005, with a 2007 update. This second update, in conjunction with the International Society for Bipolar Disorders (ISBD), reviews new evidence and is designed to be used in conjunction with the previous publications. The recommendations for the management of acute mania remain mostly unchanged. Lithium, valproate, and several atypical antipsychotics continue to be first-line treatments for acute mania. Tamoxifen is now suggested as a third-line augmentation option. The combination of olanzapine and carbamazepine is not recommended. For the management of bipolar depression, lithium, lamotrigine, and quetiapine monotherapy, olanzapine plus selective serotonin reuptake inhibitor (SSRI), and lithium or divalproex plus SSRI/bupropion remain first-line options. New data support the use of adjunctive modafinil as a second-line option, but also indicate that aripiprazole should not be used as monotherapy for bipolar depression. Lithium, lamotrigine, valproate, and olanzapine continue to be first-line options for maintenance treatment of bipolar disorder. New data support the use of quetiapine monotherapy and adjunctive therapy for the prevention of manic and depressive events, aripiprazole monotherapy for the prevention of manic events, and risperidone long-acting injection monotherapy and adjunctive therapy, and adjunctive ziprasidone for the prevention of mood events. Bipolar II disorder is frequently overlooked in treatment guidelines, but has an important clinical impact on patients' lives. This update provides an expanded look at bipolar II disorder.

Striatal volumes in affected and unaffected relatives of bipolar patients--high-risk study

BACKGROUND

Striatal volume changes reported in bipolar disorders could represent artifacts of medication or comorbid conditions, or illness related changes, either biological predispositions or consequences of illness burden. We conducted volumetric high-risk study to investigate whether striatal volume changes represent primary biological risk factor for bipolar disorders.

METHODS

High-risk (HR) participants (age range 15-30 years) were recruited from families multiply affected with bipolar disorders. They included 20 affected and 26 unaffected offspring of parents with primary mood disorders, matched by age and sex with 31 controls without a personal or family history of psychiatric disorders. Striatal volumes were measured on 1.5T 3D anatomical MRI images using standard methods.

RESULTS

There was a significant difference between groups (affected, unaffected HR and control subjects) in caudate volumes (F=3.50, DF=2; 74 and p=0.04) in absence of putamen volume changes. The caudate volumes were largest in unaffected HR subjects without differences between affected and control or affected and unaffected HR subjects. The maximum changes were found in the head of the caudate. Controlling for non-independence of observations in multiple subjects per family yielded non-significant differences.

CONCLUSIONS

Despite the biological plausibility, partial agreement with previous studies and nominal statistical significance, controlling for non-independence of observations within families changed the increased caudate volumes among unaffected subjects to non-significant. We thus present these findings as negative, pending further replication. Striatal volume abnormalities did not meet criteria for endophenotype in this study.

Orbitofrontal cortex gray matter volumes in bipolar disorder patients: a region-of-interest MRI study

OBJECTIVES

Functional and postmortem studies suggest that the orbitofrontal cortex (OFC) is involved in the pathophysiology of bipolar disorder (BD). This anatomical magnetic resonance imaging (MRI) study examined whether BD patients have smaller OFC gray matter volumes compared to healthy comparison subjects (HC).

METHODS

Twenty-eight BD patients were compared to 28 age- and gender-matched HC. Subjects underwent a 1.5T MRI with 3D spoiled gradient recalled acquisition. Total OFC and medial and lateral subdivisions were manually traced by a blinded examiner. Images were segmented and gray matter volumes were calculated using an automated method.

RESULTS

Analysis of covariance, with intracranial volume as covariate, showed that BD patients and HC did not differ in gray matter volumes of total OFC or its subdivisions. However, total OFC gray matter volume was significantly smaller in depressed patients (n = 10) compared to euthymic patients (n = 18). Moreover, total OFC gray matter volumes were inversely correlated with depressive symptom intensity, as assessed by the Hamilton Depression Rating Scale. OFC gray matter volumes were not related to lithium treatment, age at disease onset, number of episodes, or family history of mood disorders.

CONCLUSIONS

Our results suggest that abnormal OFC gray matter volumes are not a pervasive characteristic of BD, but may be associated with specific clinical features of the disorder.

Neurocognitive profiles in bipolar I and bipolar II disorder: differences in pattern and magnitude of dysfunction

OBJECTIVES

Studies on neurocognitive functioning in bipolar disorder, reporting deficits in memory, attention, and executive functioning, have primarily focused on bipolar I disorder. The aim of this study was to examine whether patients with bipolar I and bipolar II disorder have different neurocognitive profiles.

METHODS

Forty-two patients with bipolar I disorder, 31 patients with bipolar II and 124 healthy controls, from a large ongoing study on psychotic disorders, were included. Neurocognitive function was measured with a comprehensive neuropsychological test battery.

RESULTS

The bipolar I group performed significantly poorer than the healthy control group and the bipolar II group on all measures of memory. Compared with the control group, the bipolar I group also had significantly reduced performance on most measures of attention and executive functioning, while the bipolar II group only had a significantly reduced performance on a subset of these measures. On average, 24% of the bipolar I group had clinically significant cognitive impairment (< or =1.5 SD below the control group mean) across measures, compared with 13% of the bipolar II group.

CONCLUSIONS

Patients with bipolar I and bipolar II disorder in this study have different neurocognitive profiles. Bipolar I patients have more widespread cognitive dysfunction both in pattern and magnitude, and a higher proportion has clinically significant cognitive impairments compared with patients with bipolar II. This may suggest neurobiological differences between the two bipolar subgroups.

Distinct profiles of neurocognitive function in unmedicated unipolar depression and bipolar II depression

BACKGROUND

Studies have demonstrated neuropsychological deficits across a variety of cognitive domains in depression. Few studies have directly compared depressed subjects with major depressive disorder (MDD) and bipolar disorder (BD), and many are confounded by medication status across subjects. In this study, we compared the performance of unmedicated currently depressed MDD and BD groups on a battery of neuropsychological tests that included measures of risk taking and reflection impulsivity.

METHODS

Twenty-two MDD, seventeen BDII, and 25 healthy control subjects (HC), matched for age and IQ, were assessed on a battery of neuropsychological tests.

RESULTS

The depressed groups showed comparable ratings of depression severity and age of illness onset. The MDD group was impaired on tests of spatial working memory and attentional shifting, sampled less information on a test of reflection impulsivity, and was oversensitive to loss trials on a decision-making test. The BDII subjects were generally intact and did not differ significantly from control subjects on any test.

CONCLUSIONS

These data indicate differing profiles of cognitive impairment in unmedicated depressed MDD versus BDII subjects. Moderately depressed BDII subjects displayed relatively intact cognitive function, whereas MDD subjects demonstrated a broader range of executive impairments. These cognitive deficits in depression were not attributable to current medication status.

Distinguishing bipolar and unipolar disorders: an isomer model

BACKGROUND

As division between unipolar and bipolar disorders can be problematic, we sought to develop a self-report questionnaire of mood 'highs' that would both distinguish true Bipolar Disorder from any elevated mood states in unipolar depression and sharpen the distinction between Bipolar I and II conditions.

METHOD

A 46-item questionnaire was developed and completed by 157 out-patients presenting with a major depressive episode, and clinically diagnosed as having either Bipolar I (BP-I), Bipolar II (BP-II) or Unipolar (UP) depression, although DSM-IV duration criteria for BP-I and BP-II were not imposed.

RESULTS

Factor analyses identified four key constructs to mood 'highs', while additional analyses refined the questionnaire to 27 items. The refined measure was highly accurate in distinguishing composite Bipolar (BP-I and BP-II) from UP subjects (AUC = 0.93, sensitivity = 81%; specificity = 98%, positive predictive value = 0.95). Questionnaire scores were similar for BP-I and BP-II subjects, raising the possibility that the core mood state differs little in severity across the two expressions, and that their distinction allows an alternative model that weights the presence or absence of psychotic features.

CONCLUSIONS

Our study advances understanding of boundary distinctions between bipolar and unipolar mood disorders, and between BP-I and BP-II conditions, and allows consideration of a model distinguishing BP-I from BP-II by the presence of psychotic features only. The described model is the mirror image of a hierarchical structural model for conceptualizing psychotic and melancholic depression, allowing an 'isomer model' for linking the mood swing states.

Neurochemical alterations of the brain in bipolar disorder and their implications for pathophysiology: a systematic review of the in vivo proton magnetic resonance spectroscopy findings

OBJECTIVE

To perform systematic analysis of current proton magnetic resonance spectroscopy ((1)H MRS) findings in bipolar disorder (BD).

METHOD

We grouped the (1)H MRS studies documenting data on the metabolites of N-acetylaspartate (NAA), Choline (Cho), myo-inositol (mI), Glutamate (Glu)/Glutamine (Gln) and Creatine (Cr) separately, for each of the euthymic, manic, depressed adult and child/adolescent bipolar patients.

RESULTS

For NAA resonance, 22 studies involving 328 adult bipolar and 349 control subjects were identified. NAA levels were lower in euthymic bipolar patients in the frontal lobe structures and hippocampus. Lithium seems to have an increasing effect on NAA in those brain regions. Available data in children indicates lower NAA levels in euthymic bipolar patients in dorsolateral prefrontal cortex (DLPFC) and cerebellar vermis. Existing data over 25 studies on 366 adult bipolar and 393 control subjects, although inconsistent, may suggest higher Cho/Cr ratios in the basal ganglia (BG) of euthymic bipolar patients. The metabolite mI seems to be increased both in euthymic and manic bipolar children, while most of the available data does not support such alteration in adults. Glu/Gln levels in adult bipolar patients were higher in all mood states compared to controls. Limited data in children supports such an alteration only in the euthymic state.

CONCLUSION

The studies reviewed in this paper suggest regional abnormalities of NAA, Cho and Glu/Gln in BD, with the DLPFC, prefrontal and anterior cingulate cortices, hippocampus, and BG being specifically implicated. Systematic analysis of (1)H MRS findings so far helps to define future strategies in this field for delineation of actual neurochemical framework in BD.