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

(click here to download a pdf version instead, or here to read in Google Play)

fMRI minimal preprocessing pipeline

Definition of CONN's default functional and anatomical preprocessing pipeline (including realignment, unwarping, coregistration, normalization, segmentation, etc.)

fMRI denoising pipeline

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