16 Matching Annotations
  1. May 2018
    1. backtracking algorithm

      Implement this in nipype/niflows

    2. The cortical surface for each participant was reconstructed from the R1 image by the following steps

      Details about the structural pipeline can be found here: https://www.protocols.io/view/uchange-structural-neuroimaging-pipeline-kfvctn6

    3. available from the AIBS (33) (human.brain-map.org)

      availability of gene expression dataset http://human.brain-map.org/static/download

    4. This parcellation template was then transformed to the native space of each participant’s image

      software/algorithm for transformation missing

    5. Between-site reliability and tolerability of all MRI procedures were satisfactorily assessed by a pilot study of five healthy volunteers each scanned for ∼25 min at each site (31). The between-site bias was less than 3% and the between-site coefficient of variation was less than 8% for both longitudinal relaxation rate (R1) and MT parameters (31).

      between site reliability and bias

    6. Internal Replication.

      section on internal replication, some details on discovery and validation cohort

    7. SPM8

      software used

    8. 3T whole-body MRI systems (Magnetom TIM Trio; VB17 software version; Siemens Healthcare):

      MRI Scanner description

    9. MPM sequence

      Imgaging sequence

    10. We used a backtracking algorithm (55) to parcellate 66 regions defined by sulcogyral criteria in the Desikan–Killiany atlas (56) into 308 contiguous parcels of approximately equal area (500 mm2) across both hemispheres in standard space (SI Appendix, Fig. S2A).

      Parcellation Region procedure description

    11. FreeSurfer v5.3.0

      Software used

    12. sample of 297 healthy young people sampled from primary healthcare registers, stratified by age, and balanced for sex in the adolescent age range 14–24 y old, with ∼60 participants in each of five age-defined strata: 14–15 y old inclusive, 16–17 y old, 18–19 y old, 20–21 y old, and 22–24 y old

      Subjects description

    13. that adolescent consolidation of these connectome hubs was associated with a specific gene expression profile, enriched for neuronal and oligodendroglial function, and enriched for risk of schizophrenia, a neurodevelopmental disorder with its highest incidence in young adults

      Hypothesis 3

    14. (ii) that adolescent cortical shrinkage/myelination (also known as consolidation) was concentrated anatomically on association cortex and topologically on the most strongly connected regions (hubs) of the human brain anatomical network

      Hypothesis 2

    15. (i) that adolescent cortical shrinkage was coupled to intracortical myelination

      Hypothesis 1

  2. Jan 2018
    1. Accurate autocorrelation modeling substantially improvesfMRI reliability

      Considering the availability of code and a comparative workflow, this would be a likely candidate for the ReproPaper Initiative.