Donald F. Klein

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.

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 components 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.

Relationship Between Cingulo-Insular Functional Connectivity and Autistic Traits in Neurotypical Adults

OBJECTIVEnThe Social Responsiveness Scale-Adult Version (SRS-A) measures autistic traits that are continuously distributed in the general population. Based on increased recognition of the dimensional nature of autistic traits, the authors examined the neural correlates of these traits in neurotypical individuals using the SRS-A and established a novel approach to assessing the neural basis of autistic characteristics, attempting to directly relate SRS-A scores to patterns of functional connectivity observed in the pregenual anterior cingulate cortex, a region commonly implicated in social cognition.nnnMETHODnResting state functional magnetic resonance imaging scans were collected for 25 neurotypical adults. All participants provided SRS-A ratings completed by an informant who had observed them in natural social settings. Whole brain-corrected connectivity analyses were then conducted using SRS-A scores as a covariate of interest.nnnRESULTSnAcross participants, a significant negative relationship between SRS-A scores and the functional connectivity of the pregenual anterior cingulate cortex with the anterior portion of the mid-insula was found. Specifically, low levels of autistic traits were observed when a substantial portion of the anterior mid-insula showed positive connectivity with the pregenual anterior cingulate cortex. In contrast, elevated levels of autistic traits were associated with negative connectivity between these two regions.nnnCONCLUSIONSnResting state functional connectivity of the pregenual anterior cingulate cortex-insula social network was related to autistic traits in neurotypical adults. Application of this approach in samples with autism spectrum disorders is needed to confirm whether this circuit is dimensionally related to the severity of autistic traits in clinical populations.

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.

Whither Research Domain Criteria (RDoC)? The Good, the Bad, and the Ugly

Do we need to replace categorical with dimensional diagnoses to make progress in psychiatry research? No. The release of Research Domain Criteria (RDoC), which occurred coincident with publication of the DSM-5, has been touted as offering a superior classification system for psychiatric disorders. Its advantage is supposedly based on mechanisms rather than symptoms. Pushback from clinicians and researchers1-3 has led to partial refashioning of RDoC goals, from initial emphasis on improved diagnosis to revised claims of a scientific nosology for clinical research. For any new scheme for patient categorization to be an advance, it has to prove superior on multiple levels to the consensus clinical tactics of DSM-5. We doubt that this will occur with RDoC because it lacks the very scientific foundation that it proclaims. We lay out our “con” argument in homage to Sergio Leone.

Lifelong Opioidergic Vulnerability Through Early Life Separation: A Recent Extension of the False Suffocation Alarm Theory of Panic Disorder

The present paper is the edited version of our presentations at the First World Symposium On Translational Models Of Panic Disorder, in Vitoria, E.S., Brazil, on November 16-18, 2012. We also review relevant work that appeared after the conference. Suffocation-False Alarm Theory (Klein, 1993) 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. The expanded Suffocation-False Alarm Theory (Preter and Klein, 2008) hypothesizes that endogenous opioidergic dysregulation may underlie the respiratory pathophysiology and suffocation sensitivity in panic disorder. Opioidergic dysregulation increases sensitivity to CO2, separation distress and panic attacks. That sudden loss, bereavement and childhood separation anxiety are also antecedents of spontaneous panic requires an integrative explanation. Our work unveiling the lifelong endogenous opioid system impairing effects of childhood parental loss (CPL) and parental separation in non-ill, normal adults opens a new experimental, investigatory area.

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.

In a rat model of panic, corticotropin responses to dorsal periaqueductal gray stimulation depend on physical exertion

Panic disorder patients are exquisitely and specifically sensitive to hypercapnia. The demonstration that carbon dioxide provokes panic in fear-unresponsive amygdala-calcified Urbach-Wiethe patients emphasizes that panic is not fear nor does it require the activation of the amygdala. This is consonant with increasing evidence suggesting that panic is mediated caudally at midbrains dorsal periaqueductal gray matter (DPAG). Another startling feature of the apparently spontaneous clinical panic is the counterintuitive lack of increments in corticotropin, cortisol and prolactin, generally considered stress hormones. Here we show that the stress hormones are not changed during DPAG-evoked panic when escape is prevented by stimulating the rat in a small compartment. Neither did the corticotropin increase when physical exertion was statistically adjusted to the same degree as non-stimulated controls, as measured by lactate plasma levels. Conversely, neuroendocrine responses to foot-shocks were independent from muscular effort. Data are consonant with DPAG mediation of panic attacks.

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.

Industry withdrawal from psychiatric medication development

Between 1950 and 1969, on a serendipitous basis, psychiatric drug development flourished. However, there has been a steep decline in the development of new medication classes. Instead of new molecular entities, slight molecular modifications producing me-too drugs attempted to garner market share. With failing profitability, industry is now withdrawing from psychiatric medication development. Managed care drastically shortened contact between patients and clinicians, so the possible observation of unexpected benefits has been nullified. The randomized, parallel-groups design met FDA requirements for specific pharmacological efficacy. However, it does not determine whether a patient who improved while drug-treated required the drug or would have gotten better on his own. Further, pathophysiology benefit remains obscure. The major psychotropic drugs have no benefits for normal subjects. Their remarkable benefits must stem from a necessary interaction with a pathophysiological state. Therefore, understanding therapeutic benefit by treating normal subjects becomes unlikely. The claim that therapeutic knowledge in psychiatry proceeds from bench to bedside has proven vacuous, primarily because of our limited understanding of brain pathophysiology. The utility of the alternative intensive design for understanding diagnosis, therapeutic benefit, and pathophysiology is emphasized.