Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3145
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
Positron emission tomography (PET) tracer binding may not be aligned with commonly used parcellations of neocortex [1]. Independent component analysis (ICA) can capture coactivated regions among participants that might serve as robust templates from a data-driven perspective. NeuroMark is a framework combining pre-defined templates with spatially constrained ICA, capturing a wide range of brain markers across imaging modalities [2],[3]. Here, we build NeuroMark PET beta-amyloid templates for the 18F-florbetapir (FBP) and the 18F-florbetaben (FBB) radioligands, aiming to provide reliable spatial priors for future PET studies using ICA. Measuring the spatial similarities using correlation, the templates for the NeuroMark FBP and FBB templates matched strongly (ρ > 0.4) for 18 components. In a final step, the NeuroMark FBP template is applied on both FBB and FBP radioligands, showing that the age correlate profile across the FBB and FBP radioligands are statistically similar (p < 0.0008). The overall results demonstrate that NeuroMark ICA analyses are fully automated and the proposed PET templates would have great potential for large-scale analysis studies.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1109/EMBC53108.2024.10782228 | DOI Listing |
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