methods in CONN

This section contains an online copy of the book:

Nieto-Castanon, A. (2020). Handbook of functional connectivity Magnetic Resonance Imaging methods in CONN. Hilbert Press. doi:10.56441/hilbertpress.2207.6598

Alternative sources: pdf (ResearchGate); e-book (Google Books); paperback (Amazon)

Please use the reference above when citing contents of this site

Chapter 1. fMRI minimal preprocessing pipeline

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

Chapter 2. 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

Chapter 3. Functional Connectivity measures (first-level analyses)

Definition of all functional connectivity measures available in CONN for each subject and each experimental condition

Chapter 4. General Linear Model (second-level analyses)

Definition of the General Linear Model and hypothesis testing framework used by CONN to compute group-level statistics

Chapter 5. 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