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  Bridging the gap between system and cell: The role of ultra-high field MRI in human neuroscience

Turner, R., & De Haan, D. (2017). Bridging the gap between system and cell: The role of ultra-high field MRI in human neuroscience. Progress in Brain Research, 233, 179-220. doi:10.1016/bs.pbr.2017.05.005.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-D1E7-F Version Permalink: http://hdl.handle.net/21.11116/0000-0003-5F23-C
Genre: Journal Article

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 Creators:
Turner, Robert1, Author              
De Haan, Daniel2, Author
Affiliations:
1Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              
2Translational Cognitive Neuroscience Lab, University of Cambridge, United Kingdom, ou_persistent22              

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Free keywords: Causal directionality; Cognitive science; Cortical parcellation; Imaging neuroscience; MRI; Mechanism; Myeloarchitecture; Neuroanatomy; Teleological models
 Abstract: The volume of published research at the levels of systems and cellular neuroscience continues to increase at an accelerating rate. At the same time, progress in psychiatric medicine has stagnated and scientific confidence in cognitive psychology research is under threat due to careless analysis methods and underpowered experiments. With the advent of ultra-high field MRI, with submillimeter image voxels, imaging neuroscience holds the potential to bridge the cellular and systems levels. Use of these accurate and precisely localized quantitative measures of brain activity may go far in providing more secure foundations for psychology, and hence for more appropriate treatment and management of psychiatric illness. However, fundamental issues regarding the construction of testable mechanistic models using imaging data require careful consideration. This chapter summarizes the characteristics of acceptable models of brain function and provides concise descriptions of the relevant types of neuroimaging data that have recently become available. Approaches to data-driven experiments and analyses are described that may lead to more realistic conceptions of the competences of neural assemblages, as they vary across the brain's complex neuroanatomy.

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Language(s): eng - English
 Dates: 2017-06-232017
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/bs.pbr.2017.05.005
PMID: 28826512
Other: Epub 2017
 Degree: -

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Title: Progress in Brain Research
Source Genre: Journal
 Creator(s):
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Pages: - Volume / Issue: 233 Sequence Number: - Start / End Page: 179 - 220 Identifier: ISSN: 0079-6123
CoNE: /journals/resource/954926958899