Association between dopa decarboxylase gene variants and borderline personality disorder.

Despite heritability estimates of 37-69%, research has identified few genetic risk variants for borderline personality disorder (BPD). The present collaborative candidate gene study of 987 BPD cases and 1110 healthy controls found an association between BPD and single nucleotide polymorphism rs12718541 in the dopa decarboxylase gene.

Is evaluation of humorous stimuli associated with frontal cortex morphology? A pilot study using facial micro-movement analysis and MRI.

Humour involves the ability to detect incongruous ideas violating social rules and norms. Accordingly, humour requires a complex array of cognitive skills for which intact frontal lobe functioning is critical. Here, we sought to examine the association of facial expression during an emotion inducing experiment with frontal cortex morphology in healthy subjects. Thirty-one healthy male subjects (mean age: 30.8±8.9 years; all right-handers) watching a humorous movie ("Mr. Bean") were investigated. Markers fixed at certain points of the face emitting high-frequency ultrasonic signals allowed direct measurement of facial movements with high spatial-temporal resolution. Magnetic resonance images of the frontal cortex were obtained with a 1.5-T Magnetom using a coronar T2- and protondensity-weighted Dual-Echo-Sequence and a 3D-magnetization-prepared rapid gradient echo (MPRAGE) sequence. Volumetric analysis was performed using BRAINS. Frontal cortex volume was partly associated with slower speed of "laughing" movements of the eyes ("genuine" or Duchenne smile). Specifically, grey matter volume was associated with longer emotional reaction time ipsilaterally, even when controlled for age and daily alcohol intake. These results lend support to the hypothesis that superior cognitive evaluation of humorous stimuli - mediated by larger prefrontal grey and white matter volume - leads to a measurable reduction of speed of emotional expressivity in normal adults.

Advances and perspectives from genetic research: development of biological markers in Alzheimer's disease.

Despite important recent advances, a full understanding of the (genetic) etiology of Alzheimer's disease (AD) is still a long way off. Large collaborative efforts are ongoing, as well as the exploration of various sources of genetic variation. Evidence supports the view that Mendelian early-onset familial forms of AD are caused by rare and usually highly penetrant mutations in three genes (APP, PSEN1 and PSEN2). Considering sporadic late-onset AD (LOAD), the APOE epsilon4 allele is by far the best-established risk gene. Recently published large-scale genome-wide analyses point to additionally relevant genetically associated loci, particularly CLU, PICALM and CR1. These susceptibility loci support existing hypotheses about the amyloid, lipid, chaperone and chronic inflammatory mechanisms in AD pathogenesis, and are therefore likely to provide the basis for the development of hypothesis-driven novel biomarker candidates. Additional genes, listed online in AlzGene (e.g., GAB2 or SORL1) have repeatedly shown risk effects in LOAD, and may be true risk genes, but this is much less certain. New epigenetic research provided some evidence that DNA modifications maybe involved in LOAD (e.g., post-mortem studies described both hypo- and hyper-methylation in AD-related susceptibility genes). With respect to biomarkers, elderly nondemented APOE epsilon4 carriers demonstrated distinct cerebrospinal fluid biomarker signatures and alterations of brain glucose metabolism similar to those observed in AD. Future research should evaluate the usefulness of newly detected AD risk genes and epigenetic changes as potential biomarkers towards genetic profiling of AD or for correlation with endophenotypes and therapeutic outcome.

Anterior cingulum volumetry, auditory P300 in schizophrenia with negative symptoms.

The anterior cingulate cortex (ACC) is located at the rostum of the corpus callosum and involved in both cognitive and emotional brain processes. It has been suggested to be involved in P300 event-related potential generation. A large sample of schizophrenia inpatients and controls was examined in order to assess the potential relationship between ACC volumes and P300 characteristics in patients with more pronounced negative symptoms. In 50 male schizophrenia patients and 50 matched controls, auditory P300 and structural magnetic resonance imaging volume measurements of the ACC were obtained. Patients' negative symptoms were assessed using the PANSS (Positive and Negative Syndrome Scale). Volumetry of ACC subregions revealed a volume reduction in patients with schizophrenia compared with controls in right hemispheric rostral ACC subregions that were most pronounced in more negative schizophrenia patients. There was a positive correlation between PZ P300 amplitude and total ACC volume in the right hemisphere in schizophrenia patients with less negative symptoms. The results support the assumption that structural changes of the ACC are more pronounced in subgroups of schizophrenia patients with more negative psychopathology. In addition, while right hemisphere ACC volumes significantly differ between schizophrenia subgroups, combining measures of event-related potential (ERP) and ACC volumetry does not add additional information.

Differences in hippocampal volume between major depression and schizophrenia: a comparative neuroimaging study.

Several studies have demonstrated that structural brain change is detectable in the hippocampus in both patients, with schizophrenia and major depression. Only few studies, however, compared both clinical disease entities directly and no larger study has tried to take different disease stages into account. The objectives of this study are to investigate whether hippocampal volumes are reduced in patients with schizophrenia and those with major depression with the same duration of illness compared to healthy controls and to assess further changes at different disease stages. A total of 319 inpatients and healthy controls were enrolled and investigated with magnetic resonance imaging (MRI). Hippocampal volumes were measured using the segmentation software BRAINS. Bilateral hippocampal volume reductions were detected in both schizophrenic and depressed patients compared to healthy control (HC) subjects. Although younger, schizophrenic (SZ) patients showed in their MRI scans significant bilaterally reduced hippocampal volumes compared to patients with major depression. Although the hippocampal reductions were similar at the onset of symptomatic manifestation of both diseases, there was a further significant reduction of the left hippocampus in the recurrently ill SZ subgroup. The data suggest rather dynamic structural brain alterations in schizophrenia compared to major depression. Here, the presented application of the comparative neuroscience approach, by the use of large neuroimaging MRI databases, seems highly valuable. In the field of psychiatry, with its still controversial operationalized descriptive diagnostic entities, the cross-nosological approach provides a helpful tool to better elucidate the still unknown brain pathologies and their underlying molecular mechanisms beyond a single nosological entity.

Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition.

CONTEXT: Identification of individuals at high risk of developing psychosis has relied on prodromal symptomatology. Recently, machine learning algorithms have been successfully used for magnetic resonance imaging-based diagnostic classification of neuropsychiatric patient populations. OBJECTIVE: To determine whether multivariate neuroanatomical pattern classification facilitates identification of individuals in different at-risk mental states (ARMS) of psychosis and enables the prediction of disease transition at the individual level. DESIGN: Multivariate neuroanatomical pattern classification was performed on the structural magnetic resonance imaging data of individuals in early or late ARMS vs healthy controls (HCs). The predictive power of the method was then evaluated by categorizing the baseline imaging data of individuals with transition to psychosis vs those without transition vs HCs after 4 years of clinical follow-up. Classification generalizability was estimated by cross-validation and by categorizing an independent cohort of 45 new HCs. SETTING: Departments of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany. PARTICIPANTS: The first classification analysis included 20 early and 25 late at-risk individuals and 25 matched HCs. The second analysis consisted of 15 individuals with transition, 18 without transition, and 17 matched HCs. MAIN OUTCOME MEASURES: Specificity, sensitivity, and accuracy of classification. RESULTS: The 3-group, cross-validated classification accuracies of the first analysis were 86% (HCs vs the rest), 91% (early at-risk individuals vs the rest), and 86% (late at-risk individuals vs the rest). The accuracies in the second analysis were 90% (HCs vs the rest), 88% (individuals with transition vs the rest), and 86% (individuals without transition vs the rest). Independent HCs were correctly classified in 96% (first analysis) and 93% (second analysis) of cases. CONCLUSIONS: Different ARMSs and their clinical outcomes may be reliably identified on an individual basis by assessing patterns of whole-brain neuroanatomical abnormalities. These patterns may serve as valuable biomarkers for the clinician to guide early detection in the prodromal phase of psychosis.

White matter alterations in schizophrenic patients with pronounced negative symptomatology and with positive family history for schizophrenia.

BACKGROUND: In recent years, in vivo and post-mortem studies detected structural brain changes in schizophrenia. The aim of our analysis was to investigate potential changes of white matter in schizophrenic patients compared to controls, and the relationship to clinical characteristics. METHODS: Fifty male, right-handed schizophrenic patients who met DSM-IV criteria for schizophrenia were recruited. Fifty right-handed, age- and sex-matched subjects without a psychiatric disorder were enrolled as controls. Volumes of white matter in several brain regions were measured by 1.5 T MRI using a volumetry and segmentation software (BRAINS). Regions of interest including frontal, temporal, parietal, occipital and subcortical areas were determined using Talairach spaces. RESULTS: No significant differences in white matter volumes of total brain tissue and regions of interest were detected between patients and controls. A significant reduction of white matter in parietal cortex of right hemisphere was found in a subgroup of patients with pronounced negative symptoms. Furthermore, patients with first-grade relatives suffering from schizophrenia showed a reduction of subcortical white matter in the right hemisphere. CONCLUSIONS: Our results indicate that subgroups of schizophrenic patients show alterations of white matter in distinct brain regions, including the right parietal lobe.

Anterior cingulate cortex does not differ between patients with major depression and healthy controls, but relatively large anterior cingulate cortex predicts a good clinical course.

The anterior cingulate cortex (ACC) is involved in the regulation of emotion processing, and its volume has been found to be reduced in patients with major depression. Furthermore, larger ACC volumes have been associated with faster symptom improvement under therapy. The aims of the study were to examine whether volumes of the anterior cingulate cortex are altered and are related to the clinical course of major depression. Subjects comprised 78 inpatients with major depression and 78 age-, gender- and handedness- matched healthy volunteers, who were investigated with structural magnetic resonance imaging (MRI). The ACC was subdivided into the subgenual, pre-callosal, rostral-anterior and caudal-anterior ACC. No significant differences were observed for ACC volumes between patients and healthy controls. Left ACC volumes showed a significant negative correlation with the number of hospitalizations. These findings suggest that ACC volumes are not altered in patients with major depression, but that patients with larger ACC have a better clinical outcome than patients with smaller ACC.

Reduced hippocampal volumes associated with the long variant of the tri- and diallelic serotonin transporter polymorphism in major depression.

Substantial evidence supports a role for dysfunction of the serotonin transporter (5-HTT) in the pathogenesis of major depression. The polymorphism of the serotonin transporter gene (5-HTTLPR) was found to be associated with reduced hippocampal volume in major depression. However, the original diallelic polymorphism was criticized, because the L-allele can be subtyped into La and Lg alleles, the latter of which is thought to be similar to the S-allele. Therefore, the study aim was to examine the influences of the triallelic (La-Lg-S system) and diallelic 5-HTTLPR on hippocampal volumes in patients with major depression and healthy controls. Using high-resolution MRI hippocampal volumes and polymorphisms (5-HTTLPR) were measured in 60 in-patients with major depression and 60 healthy controls. Patients with the La/La genotype had significantly smaller hippocampal gray and white matter than La/La controls. No significant differences were found between patients and controls with La/(Lg + S) or (Lg + S)/(Lg + S) genotype. Moreover, within the patient group the La/La homozygous genotype had significantly smaller hippocampal white matter volumes than the La/(Lg + S) or (Lg + S)/(Lg + S) genotype. In conclusion, with the diallelic as well as the triallelic system the homozygosity for the long-allele is associated with decreased hippocampal volumes in patients with major depression, but not in healthy controls, suggesting that disease or stress specific processes linked to the serotonergic system may enhance the vulnerability to morphological alterations.

Structural correlates of psychopathological symptom dimensions in schizophrenia: a voxel-based morphometric study.

Structural neuroimaging has substantially advanced the neurobiological research of schizophrenia by describing a range of focal brain alterations as possible neuroanatomical underpinnings of the disease. Despite this progress, a considerable heterogeneity of structural findings persists that may reflect the phenomenological diversity of schizophrenia. It is unclear whether the range of possible clinical disease manifestations relates to a core structural brain deficit or to distinct structural correlates. Therefore, gray matter density (GMD) differences between 175 schizophrenic patients (SZ) and 177 matched healthy control subjects (HC) were examined in a three-step approach using cross-sectional and conjunctional voxel-based morphometry (VBM): (1) analysis of structural alterations irrespective of symptomatology; (2) subdivision of the patient sample according to a three-dimensional factor model of the PANSS and investigation of structural differences between these subsamples and healthy controls; (3) analysis of a common pattern of structural alterations present in all patient subsamples compared to healthy controls. Significant GMD reductions in patients compared to controls were identified within the prefrontal, limbic, paralimbic, temporal and thalamic regions. The disorganized symptom dimension was associated with bilateral alterations in temporal, insular and medial prefrontal cortices. Positive symptoms were associated with left-pronounced alterations in perisylvian regions and extended thalamic GMD losses. Negative symptoms were linked to the most extended alterations within orbitofrontal, medial prefrontal, lateral prefrontal and temporal cortices as well as limbic and subcortical structures. Thus, structural heterogeneity in schizophrenia may relate to specific patterns of GMD reductions that possibly share a common prefrontal-perisylvian pattern of structural brain alterations.

In-vivo topography of structural alterations of the anterior cingulate in patients with schizophrenia: new findings and comparison with the literature.

The anterior cingulate cortex (ACC) is part of the rostral limbic system and is involved in cognitive and affective processes that have been reported to be disturbed in schizophrenia. Despite the evidence for ACC abnormalities in schizophrenia indicated by functional imaging studies, structural magnetic resonance imaging (MRI) studies of this region of interest (ROI) have been relatively few and the results inconsistent. The aim of the present study was to examine the hypothesis that different subregions of the ACC are differentially affected by the disease process of schizophrenia, a circumstance that might contribute to contradictory results of earlier structural ACC studies. We investigated ACC volumes in 50 male and right-handed patients with schizophrenia according to ICD-10 and DSM-IV. The patients were individually matched for age, sex, handedness and education with 50 control subjects. ACC was subdivided into four parts: precallosal, subgenual, precommissural and postcommissural regions. Measurements were performed with a 1.5 T magnetom vision apparatus. Regions of interest were defined on consecutive coronal MRI-slices. The software program BRAINS was used for volumetry and segmentation into gray and white matter. We detected that ACC gray matter volume of the right precallosal region and right total ACC was significantly reduced in schizophrenic patients compared with control subjects. In addition, left ACC gray matter was selectively reduced in the subgenual region. These results confirmed our hypothesis that different ACC regions are differentially affected by structural alterations in schizophrenia, a circumstance that might explain in part the discrepant findings of former structural imaging studies of the ACC.

Hippocampal volume reduction and history of aggressive behaviour in patients with borderline personality disorder.

Disturbances of aggression and impulse control are important symptoms of borderline personality disorder (BPD). The hippocampus is part of the limbic system, which is involved in the control of these types of behaviour. The aim of our study was to investigate potential structural changes of the hippocampal formation in BPD and to evaluate if these are related to aggressive and impulsive behaviour. Twenty-five female and right-handed BPD patients (DSM-IV) and 25 healthy control subjects matched according to sex, age, handedness and educational status were examined. Magnetic resonance imaging (MRI) was performed using a 1.5-T Magnetom Vision system. The software program "BRAINS" was employed for segmentation and volumetry of the hippocampal formation. German versions of instruments were used to evaluate impulsive and aggressive behaviour. Hippocampal grey matter volume was significantly decreased in BPD patients: the reduction was more pronounced in patients with multiple hospitalizations. Hippocampal volume of the left hemisphere was inversely correlated with lifetime history of aggressive behaviour. However, no significant relationship was found between hippocampal volume and impulsive behaviour. Our study confirms previous results indicating a volume reduction of the hippocampal formation in BPD patients. Furthermore, this structural change might facilitate aggressive behaviour. Subsequent studies are required to clarify whether the reduction of hippocampal volume is a trait and risk factor for increased aggression.

Reduced hippocampal volume correlates with executive dysfunctioning in major depression.

OBJECTIVE: Dysfunction of neuronal plasticity or remodelling seems to contribute to the pathopysiology of major depression and may cause the well-documented hippocampal changes in depression. We aimed to investigate whether reduced hippocampal volumes correlate with executive dysfunctioning or memory dysfunctioning or with depression severity. METHODS: We recruited 34 inpatients with a previous or current episode of major depression from the department of psychiatry at the Ludwig-Maximilians University of Munich, Germany. We examined the 34 patients and 34 healthy control subjects with structural high resolution MRI. We assessed cognitive functions with the Wisconsin Card Sorting Test (WCST) and the Rey Auditory Verbal Learning Test (RAVLT) and severity of depression with the Hamilton Depression Rating Scale. RESULTS: Hippocampal volumes and frontal lobe volumes were significantly smaller in patients, compared with healthy control subjects. Furthermore, lower hippocampal volumes were correlated with poorer performance in the WCST. No significant correlations were found between hippocampal volumes and RAVLT performance or severity of depression. CONCLUSIONS: The present findings emphasize that patients with reduced hippocampal volumes show more executive dysfunctions than their counterparts. Thus, the mechanisms resulting in reduced hippocampal volumes seem to be related to the development of major depression.

Amygdala volume and depressive symptoms in patients with borderline personality disorder.

BACKGROUND: Borderline personality disorder (BPD) is characterized by a high prevalence of comorbid psychiatric disorders, including major depression (MD). The aim of this study was to examine whether a co-occurrence of MD is associated with structural changes in the amygdala of BPD patients. METHODS: Twenty-five right-handed, female patients with BPD and 25 matched healthy control subjects were examined. Diagnoses of BPD and MD were made according to DSM IV. Depressive symptomatology was determined with the Hamilton Depression Scale (HAMD). Magnetic resonance imaging scans were performed with 1.5 T Magnetom Vision (Siemens, Erlangen, Germany). The software program "BRAINS" was applied for brain volumetry and segmentation. The amygdala was delineated as "region of interest." RESULTS: Comparison of amygdala volumes between the whole group of BPD patients and control subjects revealed no significant difference. Amygdala volumes in both hemispheres were significantly larger in BPD patients with MD compared with those without MD. There was a significant correlation in BPD patients between left amygdala volume and depressive symptoms as measured by HAMD. CONCLUSIONS: Correlation of amygdala volume with depression in BPD patients might indicate a causal relationship. Future studies should clarify whether amygdala enlargement is a risk factor for MD in BPD patients or a consequence of the affective disorder.

Hippocampal and amygdala changes in patients with major depressive disorder and healthy controls during a 1-year follow-up.

BACKGROUND: Although the hippocampus has been found to be smaller in patients with depression, prospective longitudinal in vivo studies are necessary to investigate whether depression can result in a further diminution of hippocampal volumes or whether a smaller hippocampal volume predisposes an individual to the development of depression. METHOD: Thirty patients with DSM-IV major depressive disorder as well as 30 healthy control subjects matched for age, gender, and handedness were examined at admission to the hospital and 1 year later using a documentation of the medical history and high-resolution magnetic resonance imaging (MRI) for the presence of depression and to determine changes in hippocampal as well as amygdala volumes. Patients were enrolled from March 2000 to August 2002. RESULTS: No significant hippocampal and amygdala volume changes were observed in patients or controls between baseline and 1-year follow-up investigations. However, the subgroup of patients who were nonremitted at the time of the follow-up investigation showed significantly reduced left and right hippocampal volumes at both baseline and the 1-year follow-up compared with remitted patients. Moreover, the right hippocampal volumes of nonremitted patients were significantly smaller compared with matched healthy controls. CONCLUSION: These results do not support the hypothesis that hippocampal volumes diminish during the 1-year follow-up period. However, smaller hippocampal volumes may be related to a poor clinical outcome after 1 year.

Larger amygdala volumes in first depressive episode as compared to recurrent major depression and healthy control subjects.

BACKGROUND: The aim of our study was to test the hypothesis that amygdala volumes are reduced in patients with recurrent major depression compared with first episode patients. METHODS: Using structural magnetic resonance imaging, we compared 30 inpatients with first-episode depression and 27 inpatients with recurrent major depression (DSM-IV) with healthy volunteer subjects from the local community matched for age, gender, and handedness. RESULTS: Patients with first-episode depression showed enlarged amygdala volumes compared with patients with recurrent major depression and healthy control subjects. No significant differences were found between patients with recurrent depression and healthy control subjects. No significant correlations were found between amygdala volumes and age of onset, illness duration, or severity of depression. CONCLUSIONS: Larger amygdala volumes in patients with first-episode depression may result from higher amygdala metabolism and blood flow. Additionally, disease progression with stress-related excitotoxic processes during recurrent depressive episodes might result in decreased amygdala volumes. Prospective investigations to investigate amygdala changes during the course of depression are needed.

Handedness and corpus callosum morphology.

Investigations of a relationship between callosal size and functional behavioral lateralization lead to the hypothesis that, as the size of the corpus callosum (CC) increases, interhemispheric information transfer is facilitated and behavioral laterality effects become smaller. The aim of our in vivo study was to investigate the relationship between functional asymmetry of handedness and CC size in healthy subjects. Magnetic resonance images of the CC and five CC subregions were obtained with a 1.5-T Magnetom using a three-dimensional T1 sequence in 46 healthy men. Handedness was determined using the 'handedness dominance test' (HDT). According to the HDT values, 32 consistent and 14 non-consistent right-handers were identified. No significant difference between handedness subgroups in CC regions and no significant correlations between HDT values and CC areas were detected.

Investigation of a possible diencephalic pathology in schizophrenia.

Absence of the adhesio interthalamica (AI) in schizophrenic first episode patients is suggestive for another marker of early developmental neuropathologic changes. Moreover, findings suggest that schizophrenic patients without AI are characterised by more severe negative symptoms. The study aims to investigate the presence vs. absence of AI in relation to brain measurements and clinical features. Presence or absence of AI and volumetric brain measurements were assessed in 50 patients with schizophrenia and 50 matched controls. No differences in the incidence of AI were found between the groups. Patients without AI revealed a strong trend towards a larger third ventricle and significantly higher scores for negative symptoms. Interestingly, the subgroup of healthy controls without AI also had larger third ventricles. The absence of AI may represent another early developmental marker of cerebral malformation in a clinical subgroup of schizophrenic patients.

Hippocampal changes in patients with a first episode of major depression.

OBJECTIVE: Previous work suggests that patients with unipolar depression may have structural as well as functional abnormalities in limbic-thalamic-cortical networks, which are hypothesized to modulate human mood states. A core area in these networks is the hippocampus. In the present study, differences in volumes of hippocampal gray and white matter between patients with a first episode of major depression and healthy comparison subjects were examined. METHOD: Thirty patients with a first episode of major depression and 30 healthy comparison subjects who were matched for age, gender, handedness, and education were examined with high-resolution magnetic resonance imaging. RESULTS: Male patients with a first episode of major depression had significantly smaller hippocampal total and gray matter volumes than healthy male comparison subjects. Both male and female patients showed significant alterations of left-right asymmetry and significant reductions of left and right hippocampal white matter fibers in relation to healthy comparison subjects. Hippocampal measurements were not significantly correlated with clinical variables, such as age at onset of illness, illness duration, or severity of depression. CONCLUSIONS: These results are consistent with findings of structural abnormalities of the hippocampal formation in patients with major depression that were more pronounced in male patients. The authors' findings support the hypothesis that the hippocampus and its connections within limbic-cortical networks may play a crucial role in the pathogenesis of major depression.