Impact of state and trait anxiety on the panic response to CCK-4
Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany. Journal of Neural Transmission
(Impact Factor: 2.4).
07/2008; 115(6):917-20. DOI: 10.1007/s00702-008-0047-2
In order to elucidate the impact of psychological factors on panic severity the correlation between baseline anxiety and panic response to cholecystokinin-tetrapeptide (CCK-4), an established model of human anxiety, was investigated in 33 healthy volunteers. Baseline anxiety was assessed with the State-Trait-Anxiety-Inventory (STAI). Trait and state anxiety did not differ between panickers and nonpanickers nor were they correlated with panic severity. In conclusion, psychological factors are not major determinants for the subjective panic response to CCK-4 thus emphasising the importance of neurobiological factors.
Available from: Christoph Mulert
- "This finding indicates that the experience of CCK-4 induced fear might be related to the extent of amygdala activation and emphasizes its role in fear and anxiety.9 Furthermore, CCK-4 models of panic disorder not only serve to uncover the functional neuroanatomy of panic attacks but can also point to putative genomic risk factors for anxiety,22 the influence of personality factors on proneness to anxiety,23,24 or the effect of drugs on brain activity and symptoms of fear.25-26 "
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ABSTRACT: Over the last few years, neuroimaging techniques have contributed greatly to the identification of the structural and functional neuroanatomy of anxiety disorders. The amygdala seems to be a crucial structure for fear and anxiety, and has consistently been found to be activated in anxiety-provoking situations. Apart from the amygdala, the insula and anterior cinguiate cortex seem to be critical, and ail three have been referred to as the "fear network." In the present article, we review the main findings from three major lines of research. First, we examine human models of anxiety disorders, including fear conditioning studies and investigations of experimentally induced panic attacks. Then we turn to research in patients with anxiety disorders and take a dose look at post-traumatic stress disorder and obsessive-compulsive disorder. Finally, we review neuroimaging studies investigating neural correlates of successful treatment of anxiety, focusing on exposure-based therapy and several pharmacological treatment options, as well as combinations of both.
Dialogues in clinical neuroscience 12/2011; 13(4):453-61.
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ABSTRACT: Pharmacological magnetic resonance imaging (phMRI) is a method to study effects of psychopharmacological agents on neural activation. Changes of the blood oxygen level dependent (BOLD), the basis of functional MRI (fMRI), are typically obtained at relatively high sampling frequencies. This has more recently been exploited in the field of fMRI by applying independent component analysis (ICA), an explorative data analysis method decomposing activation into distinct neural networks. While already successfully used to investigate resting network and task-induced activity, its use in phMRI is new. Further extension of this method to tensorial probabilistic ICA (tensor PICA) allows to group similar brain activation across the anatomical, temporal, subject or session domain. This approach is useful for pharmacological experiments when no pharmacokinetic model exists. We exemplify this method using data from a placebo-controlled cholecystokinine-4 (CCK-4) injection experiment performed on 16 neuropsychiatrically and medically healthy males (age 25.6 +/- 4.2 years). Tensor PICA identified strong increases in activity in 12 networks. Comparison with results gained from the standard approach (voxelwise regression analysis) revealed good reproduction of areas previously associated with CCK-4 action, such as the anterior cingulate, orbitofrontal cortex, cerebellum, temporolateral, left parietal and insular areas, striatum, and precuneus. Several other components such as the dorsal anterior cingulate and medial prefrontal cortex were identified, suggesting higher sensitivity of the method. Exploration of the time courses of each activated network revealed differences, that might be lost when a fixed time course is modeled, e. g. neuronal responses to an acoustic warning signal prior to injection. Comparison of placebo and CCK-4 runs further showed that a proportion of networks are newly elicited by CCK-4 whereas other components are significantly active in the placebo conditions but further enhanced by CCK-4. In conclusion, group ICA is a promising tool for phMRI studies that allows quantifying and visualizing the modulation of neural networks by pharmacological interventions.
Current pharmaceutical design 02/2008; 14(33):3492-507. DOI:10.2174/138161208786848801 · 3.45 Impact Factor
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ABSTRACT: In this study we examined how personality disposition may affect the response to cholecystokinin tetrapeptide (CCK-4; 50 microg) challenge in healthy volunteers (n=105). Personality traits were assessed with the Swedish universities Scales of Personality (SSP). Statistical methods employed were correlation analysis and logistic regression. The results showed that the occurrence of CCK-4-induced panic attacks was best predicted by baseline diastolic blood pressure, preceding anxiety and SSP-defined traits of lack of assertiveness, detachment, embitterment and verbal aggression. Significant interactions were noted between the above mentioned variables, modifying their individual effects. For different subsets of CCK-4-induced symptoms, the traits of physical aggression, irritability, somatic anxiety and stress susceptibility also appeared related to panic manifestations. These findings suggest that some personality traits and their interactions may influence vulnerability to CCK-4-induced panic attacks in healthy volunteers.
Psychiatry Research 07/2010; 178(2):342-7. DOI:10.1016/j.psychres.2010.04.003 · 2.47 Impact Factor
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