If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

Non-linear Fourier Time Series Analysis for Human Brain Mapping by Functional Magnetic Resonance Imaging

$48.00 plus tax (Refund Policy)

Download / Buy Article:

Abstract:

A non-linear parametric model for brain activation detection by functional magnetic resonance imaging (FMRI) is proposed. The effects of a designed temporal stimulus on the FMRI signal at each brain location in a 36×60 spatial grid are estimated from discrete Fourier transforms of the observed time series at each location. The frequency domain regression model accommodates unobservable and spatially varying haemodynamic response functions through their estimated convolutions with the global stimulus. This approach generalizes an existing method for human brain mapping. An experiment to detect focal cortical activation during primary visual stimulation demonstrates the usefulness of the method.

Keywords: Convolution; Correlogram; Discrete Fourier transform; Functional neuroanatomy; Image analysis

Document Type: Original Article

DOI: http://dx.doi.org/10.1111/1467-9876.00046

Affiliations: 1: Harvard Medical School and McLean Hospital, Boston, US, 2: Johns Hopkins University, Baltimore, US

Publication date: January 1, 1997

Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more