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Computational approaches to the analysis of collective behavior in social insects increasingly rely on motion paths as an intermediate data layer from which one can infer individual behaviors or social interactions. Honey bees are a popular model for learning and memory. Previous experience has been shown to affect and modulate future social interactions. So far, no lifetime history observations have been reported for all bees of a colony. In a previous work we introduced a recording setup customized to track up to 4,000 marked bees over several weeks. Due to detection and decoding errors of the bee markers, linking the correct correspondences through time is non-trivial. In this contribution we present an in-depth description of the underlying multi-step algorithm which produces motion paths, and also improves the marker decoding accuracy significantly. The proposed solution employs two classifiers to predict the correspondence of two consecutive detections in the first step, and two tracklets in the second. We automatically tracked ~2,000 marked honey bees over 10 weeks with inexpensive recording hardware using markers without any error correction bits. We found that the proposed two-step tracking reduced incorrect ID decodings from initially ~13% to around 2% post-tracking. Alongside this paper, we publish the first trajectory dataset for all bees in a colony, extracted from ~3 million images covering 3 days. We invite researchers to join the collective scientific effort to investigate this intriguing animal system. All components of our system are open-source.

Objective: Current evidence regarding the association between psychopathology and subclinical atherosclerosis show inconsistent results. The present study examined whether subclinical atherosclerosis was more prevalent in a large cohort of persons with depressive or anxiety disorders as compared to non-depressed and non-anxious controls. Methods: Baseline data from the Netherlands Study of Depression and Anxiety were used, including 2717 persons, free of clinical cardiovascular disease. Participants had a DSM-IV-based current or remitted depressive (major depressive disorder, dysthymia) or anxiety (social phobia, generalized anxiety disorder, panic disorder, agoraphobia) disorder (n=2115) or were healthy controls (n=602). Additional clinical characteristics (severity, duration, age of onset and medication) were assessed. Ankle-brachial index (ABI) was used as a measure of vascular risk and was categorized as low (1.40), which was previously designated as a cardiovascular risk factor, reflecting arterial stiffness and wall calcification. Results: As compared to normal controls, persons with current (i.e., past year) depressive, anxiety or comorbid depressive and anxiety disorders showed a two- to threefold increased odds of low ABI (OR=2.78, 95% CI=1.05-7.35; OR=3.14, 95% CI=1.25-7.85; OR=2.67, 95% CI=1.09-6.51, respectively). No associations were found with mildly low or high ABI. Also, we did not further find a differential role for symptoms severity, duration, age of onset, and use of psychotropic medication in the link between psychopathology and subclinical atherosclerosis. Conclusion: Persons with current depressive or anxiety disorders were more likely to have subclinical atherosclerosis compared to healthy controls. (C) 2010 Elsevier Inc. All rights reserved.

Objective. Mental health and cardiovascular disease have been associated, whereas the temporal course and underlying mechanisms are still incompletely understood. Our aims were to examine the presence of subclinical atherosclerosis in subjects with depressive or anxiety disorder, also taking into account disorder characteristics (subtype, severity, duration, age of onset, medication). Methods. The sample included 470 depression or anxiety cases and 179 controls, aged 20-66 years, participating in the Netherlands Study of Depression and Anxiety (NESDA). Diagnoses were assigned using the DSM-IV based Composite International Diagnostic Interview. Carotid intima-media thickness (CIMT) and plaque information were obtained using B-mode ultrasound imaging. Results. Overall, depressive and anxiety disorders were not associated with carotid atherosclerosis. However, age of depression onset was associated with CIMT (total: 0.01mm per 10 years, P = 0.01; bifurcation: 0.02mm per 10 years, P = 0.003) and plaque presence (OR = 1.35 per 10 years, 95%CI = 1.02-1.80, P = 0.04). When compared with controls, late-onset (≥ 40 years) depressed had an increased CIMT in the atherosclerosis progression-prone bifurcation segment (0.75 vs. 0.81 mm, P = 0.004). Conclusions. These findings suggest a distinct pathophysiology of late-onset as compared with early-onset depression, including a vascular component.

Objective: Current evidence regarding the association between psychopathology and subclinical atherosclerosis show inconsistent results. The present study examined whether subclinical atherosclerosis was more prevalent in a large cohort of persons with depressive or anxiety disorders as compared to non-depressed and non-anxious controls. Methods: Baseline data from the Netherlands Study of Depression and Anxiety were used, including 2717 persons, free of clinical cardiovascular disease. Participants had a DSM-IV-based current or remitted depressive (major depressive disorder, dysthymia) or anxiety (social phobia, generalized anxiety disorder, panic disorder, agoraphobia) disorder (n=2115) or were healthy controls (n=602). Additional clinical characteristics (severity, duration, age of onset and medication) were assessed. Ankle-brachial index (ABI) was used as a measure of vascular risk and was categorized as low (1.40), which was previously designated as a cardiovascular risk factor, reflecting arterial stiffness and wall calcification. Results: As compared to normal controls, persons with current (i.e., past year) depressive, anxiety or comorbid depressive and anxiety disorders showed a two- to threefold increased odds of low ABI (OR=2.78, 95% CI=1.05-7.35; OR=3.14, 95% CI=1.25-7.85; OR=2.67, 95% CI=1.09-6.51, respectively). No associations were found with mildly low or high ABI. Also, we did not further find a differential role for symptoms severity, duration, age of onset, and use of psychotropic medication in the link between psychopathology and subclinical atherosclerosis. Conclusion: Persons with current depressive or anxiety disorders were more likely to have subclinical atherosclerosis compared to healthy controls. (C) 2010 Elsevier Inc. All rights reserved.