Oxidative stress has been implicated in many chronic diseases. However, antioxidant trials are so far largely unsuccessful as a preventive or curative measure. Chronic low-grade inflammatory process, ...
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Previous EEG-based fatigue-related research primarily focused on the association between concurrent cognitive performance and time-locked physiology. The goal of this study was to investigate the capa...
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Data Mining is all about data
analysis techniques. It is useful for extracting hidden and interesting
patterns from large datasets. Clustering techniques are important when
it comes to extractin...
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Scale development and validation are critical to much of the work in the health, social, and behavioral sciences. However, the constellation of techniques required for scale development and evaluation...
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AbstractHeart failure is a progressive chronic condition in which the heart undergoes detrimental changes in structure and functionacross multiple scales in time and space. Multiscale models of cardia...
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Abstract
BACKGROUND: This systematic review of the literature
and meta-analysis aimed to review the evaluation and monitoring of
superoxide dismutase (SOD) activity and its clinical significan...
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AbstractBackgroundPrevention of persistent pain after breast cancer surgery,
via early identification of patients at high risk, is a clinical need.
Psychological factors are among the most consist...
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In this study, we present pituitary adenoma volumetry using the free and open source medical image computing platform for biomedical research: (3D) Slicer. Volumetric changes in cerebral pathologies l...
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Abstract
Background
Political neuroimaging is an emerging field investigating
neurological roots of political behavior, while many brain imaging
techniques such as magnetic resonance...
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Abstract. The use of magnetic resonance imaging (MRI) in healthcare and the emergence of radiology as a practice are both relatively new compared with the class
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A
person's everyday language can indicate patterns of thought and emotion
predictive of mental illness. Here, we discuss how natural language
processing methods can be used to extract indicators...
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Deep neural networks excel at finding hierarchical representations that
solve complex tasks over large datasets. How can we humans understand
these learned representations? In this work, we presen...
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May 5, 2022 | The Department of Psychology at Zhejiang Normal University (ZJNU) has an opening for postdoctoral associates. The postdoctoral position is a... | NEW JOB
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chief editor is asking me to consider my manuscript to submit Chinese journal. what does it mean?''We have carefully considered your manuscript. As you know, limitations of space as well as edit...
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Parsing events from raw dataThis tutorial describes how to read experimental events from raw recordings,
and how to convert between the two different representations of events within
MNE-Python (Eve...
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