STATISTICAL ANALYSIS METHODS FOR THE FMRI DATA

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BEHROOZI MEHDI; DALIRI MOHAMMAD REZA; BOYACI HUSEYIN

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Journal Paper

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Journal: Basic and Clinical Neuroscience Year:2011 | Volume:2 | Issue:4 Page(s): 67-74

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Information Journal Paper

Title

STATISTICAL ANALYSIS METHODS FOR THE FMRI DATA

Author(s)

BEHROOZI MEHDI | DALIRI MOHAMMAD REZA | BOYACI HUSEYIN

Keywords

FMRI

MACHINE LEARNING

MULTI-VOXEL PATTERN ANALYSIS (MVPA)

GENERAL LINEAR MODEL (GLM)

INDEPENDENT COMPONENT ANALYSIS (ICA)

PRINCIPAL COMPONENT ANALYSIS (PCA)

Abstract

Functional magnetic resonance imaging (FMRI) is a safe and non-invasive way to assess brain functions by using signal changes associated with brain activity. The technique has become a ubiquitous tool in basic, clinical and cognitive neuroscience. This method can measure little metabolism changes that occur in active part of the brain. We process the FMRI data to be able to find the parts of brain that are involve in a mechanism, or to determine the changes that occur in brain activities due to a brain lesion. In this study we will have an overview over the methods that are used for the analysis of FMRI data.

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APA: Copy

BEHROOZI, MEHDI, DALIRI, MOHAMMAD REZA, & BOYACI, HUSEYIN. (2011). STATISTICAL ANALYSIS METHODS FOR THE FMRI DATA. BASIC AND CLINICAL NEUROSCIENCE, 2(4), 67-74. SID. https://sid.ir/paper/327644/en

Vancouver: Copy

BEHROOZI MEHDI, DALIRI MOHAMMAD REZA, BOYACI HUSEYIN. STATISTICAL ANALYSIS METHODS FOR THE FMRI DATA. BASIC AND CLINICAL NEUROSCIENCE[Internet]. 2011;2(4):67-74. Available from: https://sid.ir/paper/327644/en

IEEE: Copy

MEHDI BEHROOZI, MOHAMMAD REZA DALIRI, and HUSEYIN BOYACI, “STATISTICAL ANALYSIS METHODS FOR THE FMRI DATA,” BASIC AND CLINICAL NEUROSCIENCE, vol. 2, no. 4, pp. 67–74, 2011, [Online]. Available: https://sid.ir/paper/327644/en

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