Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Simultaneous recording of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) has been recently used to measure metabolic changes related to interictal spikes in temporal lobe epilepsy (TLE). Since blood oxygen level dependent (BOLD) responses have been often observed in extratemporal regions, we propose to explore interregional brain connectivity using a data-driven method based on partial correlation analysis of fMRI data. This approach allows to extract informations about functional interactivity and to differentiate direct from mediated interactions. We demonstrated that this technique provides a deeper insight into the functional relationships between the areas involved in the generation of spikes in TLE.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1109/IEMBS.2008.4650192 | DOI Listing |
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