Name
Abstract | ||
|---|---|---|
The brainstem is of tremendous importance for our daily survival, and yet the functional relationships between various nuclei, their projection targets, and afferent regulatory areas remain poorly characterized. The main reason for this lies in the sub-optimal performance of standard neuroimaging methods in this area. In particular, fMRI signals are much harder to detect in the brainstem region compared to cortical areas. Here we describe and validate a new approach to measure activation of brainstem nuclei in humans using standard fMRI sequences and widely available tools for statistical image processing. By spatially restricting an independent component analysis to an anatomically defined brainstem mask, we excluded those areas from the analysis that were strongly affected by physiological noise. This allowed us to identify for the first time intrinsic connectivity networks in the human brainstem and to map brainstem–cortical connectivity purely based on functionally defined regions of interest. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.neuroimage.2013.07.081 | NeuroImage |
Keywords | Field | DocType |
Brainstem,Functional magnetic resonance imaging,Brainstem nuclei,Resting state,Physiological noise correction,Independent component analysis,Intrinsic connectivity networks | Neuroscience,Functional magnetic resonance imaging,Afferent,Resting state fMRI,Image processing,Psychology,Independent component analysis,Neuroimaging,Communication noise,Brainstem | Journal |
Volume | ISSN | Citations |
86 | 1053-8119 | 10 |
PageRank | References | Authors |
0.53 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florian Beissner | 1 | 44 | 3.83 |
| Andy Schumann | 2 | 17 | 3.35 |
| Franziska Brunn | 3 | 10 | 0.53 |
| Daniela Eisenträger | 4 | 10 | 0.53 |
| Karl-Jürgen Bär | 5 | 14 | 1.33 |