Automatic segmentation of the spine by means of a probabilistic atlas with a special focus on ribs suppression

2017 ◽  
Vol 44 (9) ◽  
pp. 4695-4707 ◽  
Author(s):  
Silvia Ruiz-España ◽  
Juan Domingo ◽  
Antonio Díaz-Parra ◽  
Esther Dura ◽  
Víctor D'Ocón-Alcañiz ◽  
...  
Keyword(s):  
Automatic Segmentation ◽  
Special Focus ◽  
Probabilistic Atlas

Predicting spatial activity patterns in a neural map from a probabilistic atlas of 3-D reconstructed neurons

1995 ◽  
Vol 53 ◽  
pp. 812-813
Author(s):  
G. Jacobs ◽  
F. Theunissen
Keyword(s):  
Activity Patterns ◽  
Three Dimensional ◽  
Sensory System ◽  
Neural System ◽  
Probabilistic Atlas ◽  
Uniform Sample ◽  
Dimensional Reconstruction ◽  
The Time Domain ◽  
And Function ◽  
Visualization Techniques

In order to understand how the algorithms underlying neural computation are implemented within any neural system, it is necessary to understand details of the anatomy, physiology and global organization of the neurons from which the system is constructed. Information is represented in neural systems by patterns of activity that vary in both their spatial extent and in the time domain. One of the great challenges to microscopists is to devise methods for imaging these patterns of activity and to correlate them with the underlying neuroanatomy and physiology. We have addressed this problem by using a combination of three dimensional reconstruction techniques, quantitative analysis and computer visualization techniques to build a probabilistic atlas of a neural map in an insect sensory system. The principal goal of this study was to derive a quantitative representation of the map, based on a uniform sample of afferents that was of sufficient size to allow statistically meaningful analyses of the relationships between structure and function.

Current concepts of the interventional treatment of proximal supraaortic vessel stenosis

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 313-318 ◽  
Author(s):  
Ernemann ◽  
Bender ◽  
Melms ◽  
Brechtel ◽  
Kobba ◽  
...  
Keyword(s):  
Treatment Strategies ◽  
Carotid Bifurcation ◽  
Current Treatment ◽  
Long Term Results ◽  
Clinical Indication ◽  
Interventional Treatment ◽  
Special Focus ◽  
Brachiocephalic Artery ◽  
Treatment Concepts ◽  
Angioplasty And Stenting

Interventional therapies using angioplasty and stenting of symptomatic stenosis of the proximal supraaortic vessels have evolved as safe and effective treatment strategies. The aim of this paper is to summarize the current treatment concepts for stenosis in the subclavian and brachiocephalic artery with regard to clinical indication, interventional technique including selection of the appropriate vascular approach and type of stent, angiographic and clinical short-term and long-term results and follow-up. The role of hybrid interventions for tandem stenoses of the carotid bifurcation and brachiocephalic artery is analysed. A systematic review of data for angioplasty and stenting of symptomatic extracranial vertebral artery stenosis is discussed with a special focus on restenosis rate.

Social Psychology and Noninvasive Electrical Stimulation

2016 ◽  
Vol 21 (1) ◽  
pp. 30-40 ◽  
Author(s):  
Paulo S. Boggio ◽  
Gabriel G. Rêgo ◽  
Lucas M. Marques ◽  
Thiago L. Costa
Keyword(s):  
Social Psychology ◽  
Social Neuroscience ◽  
Special Focus ◽  
Social Pain ◽  
Substantial Evidence ◽  
Social Decision ◽  
Correlational Research ◽  
Neuroscience Research ◽  
Social Decision Making ◽  
Brain Behavior

Abstract. Social neuroscience and psychology have made substantial advances in the last few decades. Nonetheless, the field has relied mostly on behavioral, imaging, and other correlational research methods. Here we argue that transcranial direct current stimulation (tDCS) is an effective and relevant technique to be used in this field of research, allowing for the establishment of more causal brain-behavior relationships than can be achieved with most of the techniques used in this field. We review relevant brain stimulation-aided research in the fields of social pain, social interaction, prejudice, and social decision-making, with a special focus on tDCS. Despite the fact that the use of tDCS in Social Neuroscience and Psychology studies is still in its early days, results are promising. As better understanding of the processes behind social cognition becomes increasingly necessary due to political, clinical, and even philosophical demands, the fact that tDCS is arguably rare in Social Neuroscience research is very noteworthy. This review aims at inspiring researchers to employ tDCS in the investigation of issues within Social Neuroscience. We present substantial evidence that tDCS is indeed an appropriate tool for this purpose.

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