In this blog post, I want to share my thoughts on the number of layers that should be extracted from any given dataset. I will try to give an overview of how many layers are usually extracted in the field, I’ll describe my personal choices of layer numbers, and I will try to discuss the challenges of layer signal extraction along the way.
Recently, my adviser Peter Bandettini asked me to compile a list of all potential applications for layer-fMRI. It was a fun exercise to think about it. Below, you find a list of all potential applications that I could think of. Continue reading “List of potential layer-fMRI application studies”
The following is a personal selection of my must-see layer-fMRI abstracts presented at ISMRM and HBM in 2018. If I missed something, please let me know.
This post contains a collection of recently presented powerpoint slides.
There is a long list of software packages that are capable of performing high-resolution MRI analysis.
Some of them are used by multiple groups and some of them are customized for specific studies only.
In this post, I want to give an overview over the most important software packages, their advantages and disadvantages, and their popularity in the field.
There are about 80 people with a strong interest in layer-fMRI.
The whole list can be seen here.
These people are included in the listserv: email@example.com
To subscribe, please write an informal email to firstname.lastname@example.org
There are about 80 published layer-fMRI papers in humans.
A complete list can be found here.