An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.

TL;DR: Data quality both inflated and obscured associations with age during adolescence, indicating that reliable measures of data quality can be automatically derived from T1‐weighted volumes, and that failing to control for dataquality can systematically bias the results of studies of brain maturation.

TL;DR: An extensive evaluation of different parcellations generated at the subject and group level highlights the strengths and shortcomings of the various methods and aims to provide a guideline for the choice of parcellation technique and resolution according to the task at hand.

TL;DR: The proposed ComBat harmonization approach for fMRI‐derived connectivity measures facilitates reliable and efficient analysis of retrospective and prospective multi‐site fMRI neuroimaging studies and increased the power to detect age associations when using optimal combinations of connectivity metrics and brain atlases.

TL;DR: It is found that frequently applied thresholds for Pittsburgh compound-B positivity (typically at or above distribution volume ratiohigh and standard uptake value ratiohigh) are overly stringent in defining amyloid positivity.

TL;DR: An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute was performed and it is believed that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain.

TL;DR: A set of automated procedures for obtaining accurate reconstructions of the cortical surface are described, which have been applied to data from more than 100 subjects, requiring little or no manual intervention.

TL;DR: In this article, the authors propose three basic concepts: devising the items, selecting the items and selecting the responses, from items to scales, reliability and validity of the responses.