Imperial College London
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DrGregoryScott

Faculty of Medicine, Department of Brain Sciences

Post-CCT Research Fellow (IPPRF)
 
 
 
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Contact

 

gregory.scott99

 
 
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Location

 

C3NL, Burlington DanesBurlington DanesHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Leech:2014:10.1371/journal.pone.0098500,
author = {Leech, R and Scott, G and Carhart-Harris, R and Turkheimer, F and Taylor-Robinson, SD and Sharp, DJ},
doi = {10.1371/journal.pone.0098500},
journal = {PLoS ONE},
title = {Spatial Dependencies between Large-Scale Brain Networks},
url = {http://dx.doi.org/10.1371/journal.pone.0098500},
volume = {9},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <p>Functional neuroimaging reveals both increases (task-positive) and decreases (task-negative) in neural activation with many tasks. Many studies show a <italic>temporal</italic> relationship between task positive and task negative networks that is important for efficient cognitive functioning. Here we provide evidence for a <italic>spatial</italic> relationship between task positive and negative networks. There are strong spatial similarities between many reported task negative brain networks, termed the default mode network, which is typically assumed to be a spatially fixed network. However, this is not the case. The spatial structure of the DMN varies depending on what specific task is being performed. We test whether there is a fundamental <italic>spatial</italic> relationship between task positive and negative networks. Specifically, we hypothesize that the distance between task positive and negative voxels is consistent despite different spatial patterns of activation and deactivation evoked by different cognitive tasks. We show significantly reduced variability in the distance between within-condition task positive and task negative voxels than across-condition distances for four different sensory, motor and cognitive tasks - implying that deactivation patterns are spatially dependent on activation patterns (and <italic>vice versa</italic>), and that both are modulated by specific task demands. We also show a similar relationship between positively and negatively correlated networks from a third ‘rest’ dataset, in the absence of a specific task. We propose that this spatial relationship may be the macroscopic analogue of microscopic neuronal organization reported in sensory cortical systems, and that this organization may reflect homeostatic plasticity necessary for efficient brain function.</p>
AU  - Leech,R
AU  - Scott,G
AU  - Carhart-Harris,R
AU  - Turkheimer,F
AU  - Taylor-Robinson,SD
AU  - Sharp,DJ
DO  - 10.1371/journal.pone.0098500
PY  - 2014///
TI  - Spatial Dependencies between Large-Scale Brain Networks
T2  - PLoS ONE
UR  - http://dx.doi.org/10.1371/journal.pone.0098500
UR  - http://hdl.handle.net/10044/1/17803
VL  - 9
ER  -
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