Chronic cocaine use is associated with enhanced cue reactivity to drug stimuli. However, it may also alter functional connectivity (fcMRI) in regions involved in processing drug stimuli. Our aims were to evaluate the neural regions involved in subjective craving and how fcMRI may be altered in chronic cocaine users. Fourteen patients with a confirmed diagnosis of cocaine abuse or dependence (CCA) and 16 gender, age, and education-matched healthy controls (HC) completed a cue reactivity task and a resting state scan while undergoing functional magnetic resonance imaging. CCA showed increased activation compared to HC in left dorsolateral prefrontal and bilateral occipital cortex in response to cocaine cues but not to appetitive control stimuli. Moreover, CCA also showed increased activation within the orbital frontal cortex (OFC) for cocaine cues relative to the appetitive stimuli during a hierarchical regression analysis. A negative association between subjective craving and activity in medial posterior cingulate gyrus (PCC) was also observed for CCA. CCA exhibited increased resting state correlation (positive) between cue-processing seed regions (OFC and ventral striatum), and negative connectivity between cue-processing regions and PCC/precuneus. These alterations in fcMRI may partially explain the neural basis of increased drug cue salience in CCA.

The relationship between head motion and diffusion values such as fractional anisotropy (FA) and mean diffusivity (MD) is currently not well understood. Simulation studies suggest that head motion may introduce either a positive or negative bias, but this has not been quantified in clinical studies. Moreover, alternative measures for removing bias as result of head motion, such as the removal of problematic gradients, has been suggested but not carefully evaluated. The current study examined the impact of head motion on FA and MD across three common pipelines (tract-based spatial statistics, voxelwise, and region of interest analyses) and determined the impact of removing diffusion weighted images. Our findings from a large cohort of healthy controls indicate that while head motion was associated with a positive bias for both FA and MD, the effect was greater for MD. The positive bias was observed across all three analysis pipelines and was present following established protocols for data processing, suggesting that current techniques (i.e., correction of both image and gradient table) for removing motion bias are likely insufficient. However, the removal of images with gross artifacts did not fundamentally change the relationship between motion and DTI scalar values. In addition, Monte Carlo simulations suggested that the random removal of images increases the bias and reduces the precision of both FA and MD. Finally, we provide an example of how head motion can be quantified across different neuropsychiatric populations, which should be implemented as part of any diffusion tensor imaging quality assurance protocol.

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Abnormalities in sleep and circadian rhythms are central features of bipolar disorder (BP), often persisting between episodes. We report here, to our knowledge, the first systematic analysis of circadian rhythm activity in pedigrees segregating severe BP (BP-I). By analyzing actigraphy data obtained from members of 26 Costa Rican and Colombian pedigrees [136 euthymic (i.e., interepisode) BP-I individuals and 422 non-BP-I relatives], we delineated 73 phenotypes, of which 49 demonstrated significant heritability and 13 showed significant trait-like association with BP-I. All BP-I-associated traits related to activity level, with BP-I individuals consistently demonstrating lower activity levels than their non-BP-I relatives. We analyzed all 49 heritable phenotypes using genetic linkage analysis, with special emphasis on phenotypes judged to have the strongest impact on the biology underlying BP. We identified a locus for interdaily stability of activity, at a threshold exceeding genome-wide significance, on chromosome 12pter, a region that also showed pleiotropic linkage to two additional activity phenotypes. bipolar disorder | endophenotypes | circadian rhythms | actigraphy | behavior Q uantitative sleep and activity measures are hypothesized to be endophenotypes for bipolar disorder (BP). Disturbance of sleep and circadian activity typically precedes and may precipitate the initial onset of BP (1, 2). Decreased sleep and increased activity occur before and during manic and hypomanic episodes. Conversely, increased sleep and decreased activity characterize BP-depression. Extreme diurnal variation in mood features prominently in both mania and depression, whereas shifts in circadian phase (the time within the daily activity cycle at which periodic phenomena such as bed time or awakening occur) can induce mania and ameliorate symptoms of BP-depression (3).Twin studies have identified multiple heritable sleep and activity phenotypes, including sleep duration, sleep quality, phase of activity preference and sleep pattern, and sleep architecture variables [e.g., the amount of slow wave and rapid eye movement (REM) sleep (4) and polysomnography profiles during non-REM sleep (5)]. Euthymic BP individuals, compared with healthy controls, display trait-like alterations in several such phenotypesfor example, sleep time and time in bed, sleep onset latency, and periods of being awake after sleep onset (6). However, no prior investigations have assayed the heritability of such phenotypes in BP individuals and their relatives.We report here the delineation of sleep and activity BP endophenotypes through investigations of 26 pedigrees (n = 558) ascertained for severe BP (BP-I), from the genetically related populations of the Central Valley of Costa Rica (CR) and Antioquia, Colombia (CO) (7-9). Pedigrees ascertained for multiple cases of severe BP (BP-I) should be enriched for extreme values of quantitative traits that are BP endophenotypes, enhancing their utility for genetic mapping studies of such phenotypes. Additionally, su...