TY - JOUR
T1 - Multivariate time series analysis of neuroscience data
T2 - Some challenges and opportunities
AU - Pourahmadi, Mohsen
AU - Noorbaloochi, Siamak
N1 - Publisher Copyright:
© 2015 Elsevier Ltd.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84952785221&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84952785221&partnerID=8YFLogxK
U2 - 10.1016/j.conb.2015.12.006
DO - 10.1016/j.conb.2015.12.006
M3 - Review article
C2 - 26752736
AN - SCOPUS:84952785221
SN - 0959-4388
VL - 37
SP - 12
EP - 15
JO - Current opinion in neurobiology
JF - Current opinion in neurobiology
ER -