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  Comparing like with like: The power of knowing where you are

Turner, R., & Geyer, S. (2014). Comparing like with like: The power of knowing where you are. Brain Connectivity, 4(7), 547-557. doi:10.1089/brain.2014.0261.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-29E2-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-828C-C
Genre: Journal Article

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 Creators:
Turner, Robert1, Author              
Geyer, Stefan1, Author              
Affiliations:
1Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              

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Free keywords: Functional magnetic resonance imaging (fMRI); Neuroanatomy; Image analysis
 Abstract: Magnetic resonance imaging can now provide human brain images of structure, function, and connectivity with isotropic voxels smaller than one millimeter, and thus much smaller than the cortical thickness. This resolution, achievable in a scan time of less than 1 h, enables visualization of myeloarchitectural layer structure, intracortical variations in functional activity—recorded in changes in blood oxygenation level dependent signal or cerebral blood volume CBV—and intracortical axonal orientational structure via diffusion-weighted magnetic resonance imaging. While recent improvements in radiofrequency receiver coils now enable excellent image data to be obtained at 3T, scanning at the ultra-high field of 7T offers further gains in signal-to-noise ratio and speed of image acquisition, with a structural image resolution of about 300 lm. These improvements throw into sharp question the strategies that have become conventional for the analysis of functional imaging data, especially the practice of spatial smoothing of raw functional data before further analysis. Creation of a native cortical map for each human subject that provides a reliable individual parcellation into cortical areas related to Brodmann Areas enables a strikingly different approach to functional image analysis. This proposed approach involves surface registration of the cortices of groups of subjects using maps of the longitudinal relaxation time T1 as an index of myelination, and methods for inferring statistical significance that do not entail spatial smoothing. The outcome should be a far more precise comparison of like-with-like cortical areas across subjects, with the potential to greatly increase experimental power, to discriminate activity in neighboring cortical areas, and to enable correlation of function and connectivity with specific cytoarchitecture. Such analyses should enable a far more convincing modeling of brain mechanisms than current graph-based methods that require gross oversimplification of brain activity patterns in order to be computationally tractable.

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Language(s): eng - English
 Dates: 2014-07-072014-08-072014-08-27
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1089/brain.2014.0261
PMID: 24999746
PMC: PMC4146387
Other: Epub 2014
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Title: Brain Connectivity
Source Genre: Journal
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Pages: 10 Volume / Issue: 4 (7) Sequence Number: - Start / End Page: 547 - 557 Identifier: Other: 2158-0022
CoNE: https://pure.mpg.de/cone/journals/resource/2158-0022