Low frequency fluctuations reveal integrated and segregated processing among the cerebral hemispheres.

Resting-state functional magnetic resonance imaging (fMRI) has provided a novel approach for examining interhemispheric interaction, demonstrating a high degree of functional connectivity between homotopic regions in opposite hemispheres. However, heterotopic resting-state functional connectivity (RSFC) remains relatively uncharacterized. In the present study, we examine non-homotopic regions, characterizing heterotopic RSFC and comparing it to intrahemispheric RSFC, to examine the impact of hemispheric separation on the integration and segregation of processing in the brain. Resting-state fMRI scans were acquired from 59 healthy participants to examine inter-regional correlations in spontaneous low frequency fluctuations in BOLD signal. Using a probabilistic atlas, we correlated probability-weighted time series from 112 regions (56 per hemisphere) distributed throughout the entire cerebrum. We compared RSFC for pairings of non-homologous regions located in different hemispheres (heterotopic connectivity) to RSFC for the same pairings when located within hemisphere (intrahemispheric connectivity). For positive connections, connectivity strength was greater within each hemisphere, consistent with integrated intrahemispheric processing. However, for negative connections, RSFC strength was greater between the hemispheres, consistent with segregated interhemispheric processing. These patterns were particularly notable for connections involving frontal and heteromodal regions. The distribution of positive and negative connectivity was nearly identical within and between the hemispheres, though we demonstrated detailed regional variation in distribution. We discuss implications for leading models of interhemispheric interaction. The future application of our analyses may provide important insight into impaired interhemispheric processing in clinical and aging populations.

Baseline matters: the importance of covariation for baseline severity in the analysis of clinical trials.

BACKGROUND: Clinical trials testing the effectiveness of interventions for addictions, HIV transmission risk, and other behavioral health problems are important to advancing evidence-based treatment. Such trials are expensive and time-consuming to conduct, but the underlying effect sizes tend to be modest, and often findings are disappointing, failing to show evidence of treatment effects. OBJECTIVES: To demonstrate how appropriate covariation for baseline severity can enhance detection of treatment effects. METHODS: Explication and case example. RESULTS: Baseline severity (the score of the outcome measure at baseline, prior to randomization) is often strongly associated with outcome in such studies. Covariation for baseline score may enhance detection of treatment effects, because the variance explained by the baseline score is removed from the error variance in the estimate of the difference in outcome between treatments. Alternatively, the effect of treatment may manifest in the form of a baseline-by-treatment interaction. Common interaction patterns include that treatment may be more effective among patients with higher levels of baseline severity, or treatment may be more effective among patients with low severity at baseline ('relapse prevention' effect). Such effects may be important to developing treatment guidelines and offer clues toward understanding the mechanisms of action of treatments and of the disorders. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: This article illustrates principles of covariation for baseline and the baseline-by-treatment interaction in nontechnical graphical terms, and discusses examples from clinical trials. Implications for the design and analysis of clinical trials are discussed, and it is argued that covariation for baseline severity of the outcome measure and testing of the baseline-by-treatment interaction should be considered for inclusion in the primary outcome analyses of treatment effectiveness trials of substantial size.

L-dopa modulates functional connectivity in striatal cognitive and motor networks: a double-blind placebo-controlled study.

Functional connectivity (FC) analyses of resting-state fMRI data allow for the mapping of large-scale functional networks, and provide a novel means of examining the impact of dopaminergic challenge. Here, using a double-blind, placebo-controlled design, we examined the effect of L-dopa, a dopamine precursor, on striatal resting-state FC in 19 healthy young adults. We examined the FC of 6 striatal regions of interest (ROIs) previously shown to elicit networks known to be associated with motivational, cognitive and motor subdivisions of the caudate and putamen (Di Martino et al., 2008). In addition to replicating the previously demonstrated patterns of striatal FC, we observed robust effects of L-dopa. Specifically, L-dopa increased FC in motor pathways connecting the putamen ROIs with the cerebellum and brainstem. Although L-dopa also increased FC between the inferior ventral striatum and ventrolateral prefrontal cortex, it disrupted ventral striatal and dorsal caudate FC with the default mode network. These alterations in FC are consistent with studies that have demonstrated dopaminergic modulation of cognitive and motor striatal networks in healthy participants. Recent studies have demonstrated altered resting state FC in several conditions believed to be characterized by abnormal dopaminergic neurotransmission. Our findings suggest that the application of similar experimental pharmacological manipulations in such populations may further our understanding of the role of dopaminergic neurotransmission in those conditions.

Reliable intrinsic connectivity networks: test-retest evaluation using ICA and dual regression approach.

Functional connectivity analyses of resting-state fMRI data are rapidly emerging as highly efficient and powerful tools for in vivo mapping of functional networks in the brain, referred to as intrinsic connectivity networks (ICNs). Despite a burgeoning literature, researchers continue to struggle with the challenge of defining computationally efficient and reliable approaches for identifying and characterizing ICNs. Independent component analysis (ICA) has emerged as a powerful tool for exploring ICNs in both healthy and clinical populations. In particular, temporal concatenation group ICA (TC-GICA) coupled with a back-reconstruction step produces participant-level resting state functional connectivity maps for each group-level component. The present work systematically evaluated the test-retest reliability of TC-GICA derived RSFC measures over the short-term (<45 min) and long-term (5-16 months). Additionally, to investigate the degree to which the components revealed by TC-GICA are detectable via single-session ICA, we investigated the reproducibility of TC-GICA findings. First, we found moderate-to-high short- and long-term test-retest reliability for ICNs derived by combining TC-GICA and dual regression. Exceptions to this finding were limited to physiological- and imaging-related artifacts. Second, our reproducibility analyses revealed notable limitations for template matching procedures to accurately detect TC-GICA based components at the individual scan level. Third, we found that TC-GICA component's reliability and reproducibility ranks are highly consistent. In summary, TC-GICA combined with dual regression is an effective and reliable approach to exploratory analyses of resting state fMRI data.

The oscillating brain: complex and reliable.

The human brain is a complex dynamic system capable of generating a multitude of oscillatory waves in support of brain function. Using fMRI, we examined the amplitude of spontaneous low-frequency oscillations (LFO) observed in the human resting brain and the test-retest reliability of relevant amplitude measures. We confirmed prior reports that gray matter exhibits higher LFO amplitude than white matter. Within gray matter, the largest amplitudes appeared along mid-brain structures associated with the "default-mode" network. Additionally, we found that high-amplitude LFO activity in specific brain regions was reliable across time. Furthermore, parcellation-based results revealed significant and highly reliable ranking orders of LFO amplitudes among anatomical parcellation units. Detailed examination of individual low frequency bands showed distinct spatial profiles. Intriguingly, LFO amplitudes in the slow-4 (0.027-0.073 Hz) band, as defined by Buzsáki et al., were most robust in the basal ganglia, as has been found in spontaneous electrophysiological recordings in the awake rat. These results suggest that amplitude measures of LFO can contribute to further between-group characterization of existing and future "resting-state" fMRI datasets.

Improved statistical analysis of moclobemide dose effects on panic disorder treatment.

Clinical trials with several measurement occasions are frequently analyzed using only the last available observation as the dependent variable [last observation carried forward (LOCF)]. This ignores intermediate observations. We reanalyze, with complete data methods, a clinical trial previously reported using LOCF, comparing placebo and five dosage levels of moclobemide in the treatment of outpatients with panic disorder to illustrate the superiority of methods using repeated observations. We initially analyzed unprovoked and situational, major and minor attacks as the four dependent variables, by repeated measures maximum likelihood methods. The model included parameters for linear and curvilinear time trends and regression of measures during treatment on baseline measures. Significance tests using this method take into account the structure of the error covariance matrix. This makes the sphericity assumption irrelevant. Missingness is assumed to be unrelated to eventual outcome and the residuals are assumed to have a multivariate normal distribution. No differential treatment effects for limited attacks were found. Since similar results were obtained for both types of major attack, data for the two types of major attack were combined. Overall downward linear and negatively accelerated downward curvilinear time trends were found. There were highly significant treatment differences in the regression slopes of scores during treatment on baseline observations. For major attacks, all treatment groups improved over time. The flatter regression slopes, obtained with higher doses, indicated that higher doses result in uniformly lower attack rates regardless of initial severity. Lower doses do not lower the attack rate of severely ill patients to those achieved in the less severely ill. The clinical implication is that more severe patients require higher doses to attain best benefit. Further, the significance levels obtained by LOCF analyses were only in the 0.05-0.01 range, while significance levels of <0.00001 were obtained by these repeated measures analyses indicating increased power. The greater sensitivity to treatment effect of this complete data method is illustrated. To increase power, it is often recommended to increase sample size. However, this is often impractical since a major proportion of the cost per subject is due to the initial evaluation. Increasing the number of repeated observations increases power economically and also allows detailed longitudinal trajectory analyses.

Panic, suffocation false alarms, separation anxiety and endogenous opioids.

This review paper presents an amplification of the suffocation false alarm theory (SFA) of spontaneous panic [Klein DF (1993). False suffocation alarms, spontaneous panics, and related conditions. An integrative hypothesis. Arch Gen Psychiatry; 50:306-17.]. SFA postulates the existence of an evolved physiologic suffocation alarm system that monitors information about potential suffocation. Panic attacks maladaptively occur when the alarm is erroneously triggered. That panic is distinct from Cannon's emergency fear response and Selye's General Alarm Syndrome is shown by the prominence of intense air hunger during these attacks. Further, panic sufferers have chronic sighing abnormalities outside of the acute attack. Another basic physiologic distinction between fear and panic is the counter-intuitive lack of hypothalamic-pituitary-adrenal (HPA) activation in panic. Understanding panic as provoked by indicators of potential suffocation, such as fluctuations in pCO(2) and brain lactate, as well as environmental circumstances fits the observed respiratory abnormalities. However, that sudden loss, bereavement and childhood separation anxiety are also antecedents of "spontaneous" panic requires an integrative explanation. Because of the opioid system's central regulatory role in both disordered breathing and separation distress, we detail the role of opioidergic dysfunction in decreasing the suffocation alarm threshold. We present results from our laboratory where the naloxone-lactate challenge in normals produces supportive evidence for the endorphinergic defect hypothesis in the form of a distress episode of specific tidal volume hyperventilation paralleling challenge-produced and clinical panic.

Order-preserving dimension reduction procedure for the dominance of two mean curves with application to tidal volume curves.

The paper here presented was motivated by a case study involving high-dimensional and high-frequency tidal volume traces measured during induced panic attacks. The focus was to develop a procedure to determine the significance of whether a mean curve dominates another one. The key idea of the suggested method relies on preserving the order in mean while reducing the dimension of the data. The observed data matrix is projected onto a set of lower rank matrices with a positive constraint. A multivariate testing procedure is then applied in the lower dimension. We use simulated data to illustrate the statistical properties of the proposed testing procedure. Results on the case study confirm the preliminary hypothesis of the investigators and provide critical support to their overall goal of creating an experimental model of the clinical panic attack in normal subjects.

World Federation of Societies of Biological Psychiatry (WFSBP) guidelines for the pharmacological treatment of anxiety, obsessive-compulsive and post-traumatic stress disorders - first revision.

In this report, which is an update of a guideline published in 2002 (Bandelow et al. 2002, World J Biol Psychiatry 3:171), recommendations for the pharmacological treatment of anxiety disorder, obsessive-compulsive disorder (OCD) and post-traumatic stress disorder (PTSD) are presented. Since the publication of the first version of this guideline, a substantial number of new randomized controlled studies of anxiolytics have been published. In particular, more relapse prevention studies are now available that show sustained efficacy of anxiolytic drugs. The recommendations, developed by the World Federation of Societies of Biological Psychiatry (WFSBP) Task Force for the Pharmacological Treatment of Anxiety, Obsessive-Compulsive and Post-traumatic Stress Disorders, a consensus panel of 30 international experts, are now based on 510 published randomized, placebo- or comparator-controlled clinical studies (RCTs) and 130 open studies and case reports. First-line treatments for these disorders are selective serotonin reuptake inhibitors (SSRIs), serotonin-noradrenaline reuptake inhibitors (SNRIs) and the calcium channel modulator pregabalin. Tricyclic antidepressants (TCAs) are equally effective for some disorders, but many are less well tolerated than the SSRIs/SNRIs. In treatment-resistant cases, benzodiazepines may be used when the patient does not have a history of substance abuse disorders. Potential treatment options for patients unresponsive to standard treatments are described in this overview. Although these guidelines focus on medications, non-pharmacological were also considered. Cognitive behavioural therapy (CBT) and other variants of behaviour therapy have been sufficiently investigated in controlled studies in patients with anxiety disorders, OCD, and PTSD to support them being recommended either alone or in combination with the above medicines.

An open-label pilot study to evaluate the efficacy of sildenafil citrate in middle-aged men with late-onset dysthymia.

Late onset dysthymic disorder (DD) in middle-aged and elderly men responds poorly to established antidepressants. Previous studies noted an improvement in mood accompanying sildenafil citrate treatment for erectile dysfunction. We sought to evaluate whether sildenafil's mood effects were independent of the effect on erectile function. A 6-week open label study was conducted with 20 male participants, aged 41-60 who were diagnosed with DD and who had normal erectile function. Participants were treated with sildenafil citrate 25 mg per day for 6 weeks. The primary outcome measure was the 21-item Hamilton Depression Rating Scale. Depressive and sexual symptoms were also evaluated using self-report questionnaires. Treatment with sildenafil resulted in a significant reduction in Hamilton Depression Rating Scale mean scores: from 14.61 +/- 3.5 at baseline to 6.39 +/- 5.13 at end of study (F(3,51) = 32.52, p

Physiological and behavioral effects of naloxone and lactate in normal volunteers with relevance to the pathophysiology of panic disorder.

This study investigates whether naloxone, an opioid receptor antagonist, could render normal controls, normally nonresponsive to panic inducing stimuli, sensitive to the physiological and behavioral effects of sodium lactate, a robust panicogen in panic disorder patients. Twelve normal controls received intravenous naloxone followed by sodium lactate. Four of these subjects underwent a separate infusion with naloxone followed by saline. Respiratory physiological symptoms were measured throughout. Clinical symptoms, assessed by the Acute Panic Inventory (API), an Anxiety Scale, and the Borg Breathlessness Scale, were recorded. Eight of the twelve subjects experienced strong physiological reactivity to naloxone-lactate manifested by significantly increased tidal volume. Concomitant increases in the API and Borg scales were demonstrated; however, fear or anxiety was not affected. The four subjects retested with naloxone followed by saline did not experience significant increases on any measure. These results provide preliminary evidence that endogenous opioid system function may be a key modulator of responsivity to sodium lactate. Dysregulation of the opioid system may potentially underlie critical aspects of panic disorder neurobiology, including respiratory abnormalities and suffocation sensitivity.

A third-pass genome scan in panic disorder: evidence for multiple susceptibility loci.

BACKGROUND: Panic disorder (PD) is a common illness with a definite but "complex" genetic contribution and estimated heritability of 30-46%. METHODS: We report a genome scan in 120 multiplex PD pedigrees consisting of 1591 individuals of whom 992 were genotyped with 371 markers at an average spacing of 9cM. Parametric two-point, multipoint, and nonparametric analyses were performed using three PD models (Broad, Intermediate, Narrow) and allowing for homogeneity or heterogeneity. The two-point analyses were also performed allowing for independent male and female recombination fractions (theta). Genome-wide significance was empirically evaluated using simulations of this dataset. RESULTS: Evidence for linkage reached genome-wide significance in one region on chromosome 15q (near GABA-A receptor subunit genes) and was suggestive at loci on 2p, 2q and 9p using an averaged theta. Analyses allowing for sex-specific theta's were consistent except that support at one locus on 2q increased to genome-wide significance and an additional region of suggestive linkage on 12q was identified. However, differences in male and female recombination fractions predicted by the sex-specific approach were not consistent with current physical maps. CONCLUSIONS: These data provide evidence for chromosomal regions on 15q and 2q that may be important in genetic susceptibility to panic disorder. Although we are encouraged by the findings of analyses using sex-specific recombination fractions, we also note that further understanding of this analytic strategy will be important.

The flawed basis for FDA post-marketing safety decisions: the example of anti-depressants and children.

The FDA (February 3, 2005) issued a black box warning that all antidepressants increase the risk of suicidal thinking and behavior in children and adolescents that must be cited in all advertising as well as included in the package insert. Following this, there was a sharp decrease in antidepressant prescriptions for children with uncertain public health impact. The current black box does not claim that these medications increase the risk of completed suicides, although this is the clear implication of the term 'suicidality'. The interpretation by the press is unequivocal that lethal outcomes prompted this action. This review concludes the following: (1) Since no suicide occurred in clinical trials of approximately 4400 children, the analyses relied upon 'suicidality' as a surrogate. (2) The classification of adverse events by the Columbia group necessarily relied on inferences, because the available evidence was not prospectively collected for this purpose. (3) The data analysis relied on a composite variable labeled 'suicidality', an unvalidated, inappropriate surrogate. Specific criticisms of analytic procedures and inferences are presented. The failure of the FDA's post-marketing surveillance system is reviewed. The data necessary for objective evaluations of possible post-marketing harm cannot be gathered by the current process. Proper prospective post-marketing surveillance by linked computerized medical records is a crucial issue that deserves major public and political attention and prompt action.

Remission rates with 3 consecutive antidepressant trials: effectiveness for depressed outpatients.

OBJECTIVE: This effectiveness study assessed remission rates in patients who had the opportunity to receive up to 3 antidepressant trials if unresponsive. METHOD: One hundred seventy-one consecutive outpatients entered 1 of 3 studies for the treatment of major depressive disorder (DSM-IV criteria) from January 1999 through December 2001. This group primarily received fluoxetine as a first treatment in trials lasting 6 to 12 weeks (a small number received gepirone). If unimproved, patients received a second or third trial (primarily clinician's choice). A standard criterion to determine remission-a score of 7 or less on the 17-item Hamilton Rating Scale for Depression-was used. In order to contrast remission rates with first-generation antidepressants, patients' outcomes in a previously published study that compared placebo, phenelzine, and imipramine were also examined (N = 420). RESULTS: In an intent-to-treat analysis, 66% (113/171) of patients who were treated with second-generation antidepressants and 65% (275/420) of patients who were treated with first-generation antidepressants eventually achieved remission. CONCLUSIONS: Remission rates in the effectiveness study are approximately 20% higher than the rates usually cited, a result of our choice to examine outcome following 3 treatment trials. This choice is dictated by good clinical practice. The usual procedure when comparing treatment modalities is to assess outcome after a single anti-depressant trial. The cumulative high remission rates suggest antidepressants are effective and should encourage more patients to seek treatment and physicians to develop techniques to improve patient adherence.

Improving clinical trials: American Society of Clinical Psychopharmacology recommendations.

The major purpose of this American Society of Clinical Psychopharmacology-sponsored meeting was to identify strategies for more efficiently detecting clinical drug effects, thus reducing the economic and scientific risks of investigating new chemical entities in psychiatric disorders. The meeting consisted of presentations and discussions by experts who repeatedly had difficulty pursuing scientific, public health--relevant goals. Many approaches to improving the detection of potentially beneficial agents were reviewed. In this article, we discuss technically feasible study improvements. The scope of inquiry included identifying means of shifting institutional and regulatory assumptions and processes, even to the point of seeking appropriate national incentives.

Defining the boundaries of atypical depression: evidence from the HPA axis supports course of illness distinctions.

BACKGROUND: Treatment outcome and brain laterality differ between early onset (<20 years) chronically (no well-being >2 months) depressed patients with atypical features (early/chronic atypical) and those with either later onset or less chronic illness (late/nonchronic atypical). Because hypothalamic-pituitary-adrenal (HPA) axis abnormalities have been hypothesized to distinguish atypical depression from melancholia, we examined whether HPA measures would also differentiate these two groups of depressed patients with atypical features. METHODS: Three-hour afternoon cortisol levels, stimulation of cortisol by afternoon dextroamphetamine, and suppression of cortisol by dexamethasone were investigated in 85 depressed patients with atypical features. The latter group was divided into early/chronic atypical and late/nonchronic atypical based on chart review of course of illness. RESULTS: Patients with early/chronic atypical had significantly lower mean 3 h afternoon cortisol levels (N=21) and 4:00 p.m. post-dexamethasone cortisol levels (N=20) than did those with late/nonchronic atypical (N=43 with afternoon cortisol; N=26 with post-dexamethasone cortisol). Post-dextroamphetamine cortisol levels were numerically higher in the early/chronic atypical group (N=15 vs. 19), but this failed to reach conventional significance (0.05

Evidence for a susceptibility locus for panic disorder near the catechol-O-methyltransferase gene on chromosome 22.

BACKGROUND: A well-characterized single nucleotide polymorphism (472G/A-Val/Met-SNP8) in the coding sequence of the catechol-O-methyltransferase (COMT) gene leads to a three- to fourfold difference in enzymatic activity and clinical and animal studies suggest a role in anxiety states like panic disorder. METHODS: Subjects from 70 panic disorder pedigrees, and 83 "triads", were genotyped at seven single nucleotide polymorphisms (SNPs), polymorphic microsatellites in the first intron of COMT and approximately 339kb upstream of COMT (D22S944) and analyzed for genetic association and linkage. RESULTS: Linkage analysis showed elevated LOD scores for 472G/A (SNP 8), silent exon 3 substitution (186C/T-SNP 5), and the marker D22S944 (2.88, 2.62, and 2.93, respectively), using a variety of diagnostic and genetic models. Association tests were not significant for the SNPs, but were highly significant for D22S944 (p =.0001-.0003). One three-marker haplotype formed from the above three polymorphisms was significantly associated with panic disorder (p =.0001), as was the "global" p value for this combination (p =.005). In addition, numerous haplotypes with combinations of D22S944 and COMT SNPs were found to be significantly associated with panic disorder. CONCLUSIONS: Our findings provide strong evidence for a susceptibility locus for panic disorder either within the COMT gene or in a nearby region of chromosome 22.

Gender differences in panic disorder: findings from the National Comorbidity Survey.

OBJECTIVE: Several epidemiological studies have demonstrated a higher prevalence of panic disorder in women than in men. This study explored whether the prevalence of specific panic symptoms differs by gender. METHOD: National Comorbidity Survey data from 609 respondents who met DSM-III-R criteria for panic disorder or panic attacks were analyzed to test for gender differences across 18 panic symptoms. RESULTS: Among National Comorbidity Survey respondents with panic disorder or panic attacks, female respondents were more likely than male respondents to experience respiration-related difficulties during panic attacks. CONCLUSIONS: Specific symptoms occurring during panic attacks differ by gender. The pathophysiology of these symptom differences may involve gender differences in sensitivity to CO(2) and in the threshold for panic attacks during hypoxic and hypercapnic states.