An average sliding window correlation method for dynamic functional connectivity
نویسندگان
چکیده
منابع مشابه
Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?
During the last several years, the focus of research on resting-state functional magnetic resonance imaging (fMRI) has shifted from the analysis of functional connectivity averaged over the duration of scanning sessions to the analysis of changes of functional connectivity within sessions. Although several studies have reported the presence of dynamic functional connectivity (dFC), statistical ...
متن کاملAsymmetric sliding-window cross-correlation
Sliding-window cross-correlation is a common method to esimate time-varying correlations between signals (Laurent and Davidowitz, 1994; Laurent et al., 1996; Macleod and Laurent, 1996; Stopfer and Laurent, 1997; Wehr, 1999 (p. 96)). It produces a correlation value betwen two signals (positive or negative) for every (time,lag) pair of values. In principle, the expected value of the correlation f...
متن کاملSliding-window dynamic frameproof codes
A sliding-window dynamic frameproof code is a scheme for discouraging the piracy of digital broadcasts through the use of digital fingerprinting. In this paper we formally define sliding-window dynamic frameproof codes and provide optimal constructions for a certain class of these schemes. We also discuss bounds on the number of users such schemes
متن کاملAn improved sliding window method for shot change detection
The conventional sliding window (CSW) method has long been used in video segmentation for its adaptive thresholding technique. A hard cut is detected based on the ratio between the current feature value and its local neighborhood in the sliding window. Yet it has a relatively high rate of false alarm and missed cuts. This paper proposes an improved sliding window method which employs multi adap...
متن کاملCorrigendum to “Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?” [NeuroImage 127 (2016) 242–256]
a Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain b Department of Health Sciences and Technology, ETH Zurich, Switzerland c Department of Experimental Psychology, University of Oxford, United Kingdom d Department of Physiology of Cognitive Processes, Max Planck Institute for Bi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Human Brain Mapping
سال: 2019
ISSN: 1065-9471,1097-0193
DOI: 10.1002/hbm.24509