Journal article
Behavior, Neuropsychology and fMRI
Progress in Neurobiology, Vol.145-146, pp.1-25
2016
Abstract
Cognitive neuroscientists in the late 20th century began the task of identifying the part(s) of the brain concerned with normal behavior as manifest in the psychological capacities as affective powers, reasoning, behaving purposively and the pursuit of goals, following introduction of the 'functional magnetic resonance imaging' (fMRI) method for identifying brain activity. For this research program to be successful two questions require satisfactory answers. First, as the fMRI method can currently only be used on stationary subjects, to what extent can neuropsychological tests applicable to such stationary subjects be correlated with normal behavior. Second, to what extent can correlations between the various neuropsychological tests on the one hand, and sites of brain activity determined with fMRI on the other, be regarded as established. The extent to which these questions have yet received satisfactory answers is reviewed, and suggestions made both for improving correlations of neuropsychological tests with behavior as well as with the results of fMRI-based observations.
Details
- Title
- Behavior, Neuropsychology and fMRI
- Authors
- Maxwell Bennett (Author) - University of SydneySean Hatton (Author) - University of SydneyDaniel F Hermens (Author) - University of SydneyJim Lagopoulos (Author) - University of the Sunshine Coast
- Publication details
- Progress in Neurobiology, Vol.145-146, pp.1-25
- Publisher
- Pergamon
- Date published
- 2016
- DOI
- 10.1016/j.pneurobio.2016.07.001
- ISSN
- 0301-0082
- Copyright note
- Copyright © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
- Organisation Unit
- University of the Sunshine Coast, Queensland; Thompson Institute
- Language
- English
- Record Identifier
- 99450533602621
- Output Type
- Journal article
Metrics
117 File views/ downloads
987 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Web Of Science research areas
- Neurosciences
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites