Bridging the gap between system and cell: the role of ultra-high field MRI in human neuroscience
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 meth...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Book section |
| Language: | English |
| Published: |
Elsevier
2017
|
| _version_ | 1826265479859142656 |
|---|---|
| author | Turner, R De Haan, D |
| author2 | Mahfoud, T |
| author_facet | Mahfoud, T Turner, R De Haan, D |
| author_sort | Turner, R |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-03-06T20:24:21Z |
| format | Book section |
| id | oxford-uuid:2ee6b838-7169-4503-9f9a-417c69361751 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T20:24:21Z |
| publishDate | 2017 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:2ee6b838-7169-4503-9f9a-417c693617512022-03-26T12:51:49ZBridging the gap between system and cell: the role of ultra-high field MRI in human neuroscienceBook sectionhttp://purl.org/coar/resource_type/c_1843uuid:2ee6b838-7169-4503-9f9a-417c69361751EnglishSymplectic ElementsElsevier2017Turner, RDe Haan, DMahfoud, TMcLean, SRose, NThe 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. |
| spellingShingle | Turner, R De Haan, D Bridging the gap between system and cell: the role of ultra-high field MRI in human neuroscience |
| title | Bridging the gap between system and cell: the role of ultra-high field MRI in human neuroscience |
| title_full | Bridging the gap between system and cell: the role of ultra-high field MRI in human neuroscience |
| title_fullStr | Bridging the gap between system and cell: the role of ultra-high field MRI in human neuroscience |
| title_full_unstemmed | Bridging the gap between system and cell: the role of ultra-high field MRI in human neuroscience |
| title_short | Bridging the gap between system and cell: the role of ultra-high field MRI in human neuroscience |
| title_sort | bridging the gap between system and cell the role of ultra high field mri in human neuroscience |
| work_keys_str_mv | AT turnerr bridgingthegapbetweensystemandcelltheroleofultrahighfieldmriinhumanneuroscience AT dehaand bridgingthegapbetweensystemandcelltheroleofultrahighfieldmriinhumanneuroscience |