Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26598788
&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215
Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26598788
.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Brain+Connect
2016 ; 6
(2
): 99-108
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
Linking Functional Connectivity and Structural Connectivity Quantitatively: A
Comparison of Methods
#MMPMID26598788
Huang H
; Ding M
Brain Connect
2016[Mar]; 6
(2
): 99-108
PMID26598788
show ga
Structural connectivity in the brain is the basis of functional connectivity.
Quantitatively linking the two, however, remains a challenge. For a pair of
regions of interest (ROIs), anatomical connections derived from
diffusion-weighted imaging are often quantified by fractional anisotropy (FA) or
edge weight, whereas functional connections, derived from resting-state
functional magnetic resonance imaging, can be characterized by non-time-series
measures such as zero-lag cross correlation and partial correlation, as well as
by time-series measures such as coherence and Granger causality. In this study,
we addressed the question of linking structural connectivity and functional
connectivity quantitatively by considering two pairs of ROIs, one from the
default mode network (DMN) and the other from the central executive network
(CEN), using two different data sets. Selecting (1) posterior cingulate cortex
and medial prefrontal cortex of the DMN as the first pair of ROIs and (2) left
dorsal lateral prefrontal cortex and left inferior parietal lobule of the CEN as
the second pair of ROIs, we show that (1) zero-lag cross correlation, partial
correlation, and pairwise Granger causality were not significantly correlated
with either mean FA or edge weight and (2) conditional Granger causality (CGC)
was significantly correlated with edge weight but not with mean FA. These results
suggest that (1) edge weight may be a more appropriate measure to quantify the
strength of the anatomical connection between ROIs and (2) CGC, which
statistically removes common input and the indirect influences between a given
ROI pair, may be a more appropriate measure to quantify the strength of the
functional interaction enabled by the fibers linking the two ROIs.
free
free
free
