An Overview of Functional Connectomics & Resting-State fMRI

Introducing the resting-state fMRI technique through comparison of diffusion and BOLD signal data

What is Functional Connectivity?

The differentiation of seed-to-seed connectivity and seed-to-voxel connectivity.

Defining: Functional Magnetic Resonance Imaging

  1. fMRI is non-invasive and doesn’t involve any radiation.
  2. This technique has an excellent spatial and temporal resolution.
  3. fMRI is easy for experimenters to use due to its adaptability to mass amounts of software.

Resting-State Functional MRI (rfMRI)

Resting-State Networks (RSNs)

Source: https://www.humanconnectome.org/study/hcp-young-adult/article/release-s1200-extensively-processed-rfmri-data

Diffusion Tensor Imaging (DTI)

BOLD Signal

Source: https://www.biorxiv.org/search

Overview: Change in Blood Flow

Source: http://mriquestions.com/bold-contrast.html
Source: https://oryon.co.uk/blog/a-growing-use-for-mri-in-mental-health/

Seed-to-Seed Connectivity

TL;DR

  • Functional connectivity is the estimation of connections between functional regions in the brain.
  • Functional Magnetic Resonance Imaging (fMRI) works by detecting the changes in blood oxygenation.
  • Resting-State Networks are functional networks in the brain that are most commonly estimated from rfMRI data.
  • The BOLD signal is the blood oxygenation level-dependent signal that reflects neuronal activation in the brain.
  • Seed-based connectivity measurements characterize connectivity patterns with an already determined seed or ROI (region of interest).

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Anastasija Petrovic

I’m Anastasija, a 17-year-old interested in the intersection between biotechnology and bioinformatics. I also write about mindsets and emerging technologies!