Multivariate time series analysis of neuroscience data: some challenges and opportunities. Academic Article

abstract

• Neuroimaging data may be viewed as high-dimensional multivariate time series, and analyzed using techniques from regression analysis, time series analysis and spatiotemporal analysis. We discuss issues related to data quality, model specification, estimation, interpretation, dimensionality and causality. Some recent research areas addressing aspects of some recurring challenges are introduced.

authors

• Pourahmadi, Mohsen

published proceedings

• Curr Opin Neurobiol

altmetric score

• 2.85

author list (cited authors)

• Pourahmadi, M., & Noorbaloochi, S.

citation count

• 13

complete list of authors

• Pourahmadi, Mohsen||Noorbaloochi, Siamak

publication date

• January 2016

publisher

• Elsevier  Publisher

published in

• Current Opinion in Neurobiology  Journal

keywords

• Humans
• Multivariate Analysis
• Neuroimaging
• Neurosciences
• Time

Digital Object Identifier (DOI)

• 10.1016/j.conb.2015.12.006

start page

• 12

end page

• 15

volume

• 37

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.conb.2015.12.006