The role of anxiety sensitivity in sleep disturbance in panic disorder.

Previous research has demonstrated that individuals with panic disorder (PD) report significant sleep disturbances, although the mechanism of this disturbance is not clear. Patients with PD tend to report abnormally high levels of anxiety sensitivity (AS). Because higher AS involves increases in attention and fearfulness about anxiety and associated physical sensations, which in turn may cause excessive psychological and physiologic arousal, we hypothesized that amongst individuals with PD, higher AS would be associated with sleep disruption, particularly in the form of increased sleep latency. As expected, PD was associated with poorer sleep as measured by the Global Pittsburgh Sleep Quality Index (PSQI) compared to controls and AS was significantly associated with longer sleep latency. Our data suggest that sleep disturbance, and in particular sleep latency, in PD may be partly due to high levels of AS, which can be targeted with cognitive-behavioral therapeutic strategies.

Broad spectrum of cytokine abnormalities in panic disorder and posttraumatic stress disorder.

BACKGROUND: Proinflammatory cytokines have been reported to be elevated in individuals experiencing chronic stress as well as in those with major depressive disorder. Much less is known about cytokines in anxiety disorders such as posttraumatic stress disorder (PTSD) and panic disorder (PD). We hypothesized that PD and PTSD would be associated with a generalized proinflammatory cytokine signature. METHOD: We utilized Luminex technology to examine 20 cytokines and chemokines in serum from 48 well-characterized individuals with a primary DSM-IV PD or PTSD diagnosis, and 48 age- and gender-matched healthy controls. We conservatively employed a Bonferroni correction for multiple testing (alpha=.05/20=.0025). RESULTS: Individuals with primary PTSD or PD had significantly elevated median peripheral cytokine levels for 18 of 20 different cytokines compared to age- and gender-matched healthy controls (all P<.0025). To assess for the presence of a generalized proinflammatory state, we also examined the proportion of subjects with detectable levels of at least six of nine common proinflammatory cytokines and chemokines (IL-6, IL-1alpha, IL-1beta, IL-8, MCP-1, MIP-1alpha, Eotaxin, GM-CSF, and IFN-alpha). For men and women, 87% of anxiety patients had six or more detectable levels of these proinflammatory cytokines, compared with only 25% of controls (Fisher's Exact Test (FET) P=.000). Confirmatory analysis of the subset of individuals without current psychiatric medication use or comorbid depression was of comparable significance. CONCLUSIONS: These findings suggest that a generalized inflammatory state may be present in individuals with PD or PTSD.

Meta-analysis of brain size in bipolar disorder.

A recent meta-analysis concluded that patients with schizophrenia have reduced cerebral volume, and this finding has been used to implicate neurodevelopmental events in the etiology of this disorder. Since bipolar-disorder patients and schizophrenia patients have some similar brain abnormalities, it was of interest to meta-analytically review the literature on brain size in bipolar disorder. Only seven studies met the inclusion/exclusion criteria for our meta-analysis, but none reported the brain size differences between the bipolar patients and the controls to be statistically significant. The composite effect size was a negligible 0.04 (95% CI: -0.17 to 0.25) and statistically not significantly different from 0.0 (no effect). Thus, it appears that bipolar disorder is not associated with the same cerebral volume reductions noted in schizophrenia. Implications for hypotheses regarding the etiology of the two disorders are discussed.

Precise segmentation of the lateral ventricles and caudate nucleus in MR brain images using anatomically driven histograms.

This paper demonstrates a time-saving, automated method that helps to segment the lateral ventricles and caudate nucleus in T1-weighted coronal magnetic resonance (MR) brain images of normal control subjects. The method involves choosing intensity thresholds by using anatomical information and by locating peaks in histograms. To validate the method, the lateral ventricles and caudate nucleus were segmented in three brain scans by four experts, first using an established method involving isointensity contours and manual editing, and second using automatically generated intensity thresholds as an aid to the established method. The results demonstrate both time savings and increased reliability.

Reduced subcortical brain volumes in nonpsychotic siblings of schizophrenic patients: a pilot magnetic resonance imaging study.

Substantial evidence suggests that nonpsychotic relatives of schizophrenia patients manifest subtle abnormalities in communication, eye movements, event-related potentials, and neuropsychological processes of attention, reasoning, and memory. We sought to determine whether adult relatives without psychosis or schizophrenia spectrum diagnoses might also have structural brain abnormalities, particularly in subcortical regions found to be impaired in patients with schizophrenia itself. Subjects were six sisters of schizophrenic patients and eleven normal female controls. Sixty contiguous 3 mm coronal, T1-weighted 3D magnetic resonance images (MRI) of the entire brain were acquired on a 1.5 Tesla magnet. Cortical and subcortical gray and white matter was segmented using a semiautomated intensity contour mapping algorithm. Volumes were adjusted for total brain volumes. Adjusted gray matter subcortical volumes were significantly smaller in relatives than in controls in total hippocampus, right amygdala, right putamen, left thalamus, and brainstem. Relatives had significantly enlarged left and total inferior lateral ventricles. These results, though preliminary, suggest that some never-psychotic relatives of schizophrenic patients have abnormal brain structure. If replicated in a larger sample including both sexes, these results would suggest that the genetic liability to schizophrenia is also expressed as structural brain abnormalities.