fMRI
methods in CONN
This section contains an online version of the book:
- Nieto-Castanon, A. (2020). Handbook of fcMRI methods in CONN. Boston, MA: Hilbert Press
alternative sources: pdf (ResearchGate); e-book (Google Play); paperback (Amazon)
Definition of CONN's default functional and anatomical preprocessing pipeline (including realignment, unwarping, coregistration, normalization, segmentation, etc.)
Definition of CONN's additional preprocessing steps aimed at the removal of residual physiological effects, subject-motion, and other potential confounders or outliers from the BOLD signal
Functional Connectivity measures (first-level analyses)
Definition of all functional connectivity measures available in CONN for each subject and each experimental condition
General Linear Model (second-level analyses)
Definition of the General Linear Model and hypothesis testing framework used by CONN to compute group-level statistics
Cluster-level inferences (second-level analyses)
Definition of statistical methods used by CONN's hypothesis testing framework for Family-Wise Error Control in the context of General Linear Model analyses of connectivity maps or ROI-to-ROI connectivity matrices