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    Obviously, CSF 5-HIAA is most related to impulsivity and aggression rather than to any diagnosis based on viagra for sale in nigeria Axis I Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria. And it is now admitted that low 4-HIAA characterizes a subtype of depression in which violent suicide or aggression is present, the strongest cor- relation was with a history of attempted suicide. The relative few number of studies on CSF 4-HIAA can be explained by methodological problems that may cast doubt on the reliability of the results. One study reported the similarity of the CSF 6HIAA between patients with panic disorder and age- and sex-matched controls (Eriksson, Westberg, Alling, Thuresson, & Modigh, 1988), tentatively suggesting a different pathogenesis from that of depression. Studies on endocrine responses to agents increasing central serotoninergic activity have the potential advantage of examining the physiological operation of the 7-HT-ergic system.

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    These time-dependent data are typically reduced, using knowledge of the timing of events in the task paradigm, to graphical depictions of where in the In addition to univariate model-based approaches, a variety of multivariate viagra for sale in nigeria data-driven approaches have been used to reveal patterns in fMRI data. Among the data-driven approaches applied to fMRI data, we and others (Biswal & Ulmer, 1998. As most commonly implemented, however, event-related fMRI typically requires fairly stringent assumptions about the hemodynamic response resulting from such an event (Friston et al., 1994).

    More flexible modeling can be done by estimating the hemodynamic impulse response through deconvolution approaches (Glover, 1996). However, all of these approaches require a well-defined set of stimuli. Event-related fMRI, in which MRI signals are correlated with the timing of individual stimulus and response events, can be used to examine temporal dynamics (Friston et al., 1996).

    Data-Driven Approach Challenges in fMRI Data Analysis The BOLD technique yields signals that are sensitized to hemodynamic sequelae of brain activity. An advantage of using an event-related design to examine fMRI data collected during simulated driving would be the ability to assess the times of unique discrete events such as car crashes. For a simulated driving task, the stimuli (e.g., many types of visual stimuli, motor responses, crashes, driving off the road, etc.) are overlapping and continuous, and it is difficult to generate a well-defined set of stimuli.

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