| Autor: |
Julia Leonard, John Flournoy, Christine Paula Lewis-de los Angeles, Kirstie Whitaker |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
Research Ideas and Outcomes, Vol 3, Iss , Pp 1-7 (2017) |
| Druh dokumentu: |
article |
| ISSN: |
2367-7163 |
| DOI: |
10.3897/rio.3.e12569 |
| Popis: |
A constant problem developmental neuroimagers face is in-scanner head motion. Children move more than adults and this has led to concerns that developmental changes in resting-state connectivity measures may be artefactual. Furthermore, children are challenging to recruit into studies and therefore researchers have tended to take a permissive stance when setting exclusion criteria on head motion. The literature is not clear regarding our central question: How much motion is too much? Here, we systematically examine the effects of multiple motion exclusion criteria at different sample sizes and age ranges in a large openly available developmental cohort (ABIDE; http://preprocessed-connectomes-project.org/abide). We checked 1) the reliability of resting-state functional magnetic resonance imaging (rs-fMRI) pairwise connectivity measures across the brain and 2) the accuracy with which we can separate participants with autism spectrum disorder from typically developing controls based on their rs-fMRI scans using machine learning. We find that reliability on average is primarily sensitive to the number of participants considered, but that increasingly permissive motion thresholds lower case-control prediction accuracy for all sample sizes. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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