(Q48606641)

English

Exploring regions of interest with cluster analysis (EROICA) using a spectral peak statistic for selecting and testing the significance of fMRI activation time-series.

scientific article published in May 2002

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scholarly article

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Europe PubMed Central

13 February 2018

http://europepmc.org/abstract/MED/12009263

Exploring regions of interest with cluster analysis (EROICA) using a spectral peak statistic for selecting and testing the significance of fMRI activation time-series. (English)

1 reference

Europe PubMed Central

13 February 2018

http://europepmc.org/abstract/MED/12009263

1 reference

based on heuristic

inferred from title

cluster analysis

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author name string

Jarmasz M

1

1 reference

Europe PubMed Central

13 February 2018

http://europepmc.org/abstract/MED/12009263

Somorjai RL

2

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Europe PubMed Central

13 February 2018

http://europepmc.org/abstract/MED/12009263

publication date

1 May 2002

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Europe PubMed Central

13 February 2018

http://europepmc.org/abstract/MED/12009263

Artificial Intelligence in Medicine

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Europe PubMed Central

13 February 2018

http://europepmc.org/abstract/MED/12009263

25

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Europe PubMed Central

13 February 2018

http://europepmc.org/abstract/MED/12009263

1

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Europe PubMed Central

13 February 2018

http://europepmc.org/abstract/MED/12009263

45-67

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Europe PubMed Central

13 February 2018

http://europepmc.org/abstract/MED/12009263

describes a project that uses

functional magnetic resonance imaging

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Processing strategies for time-course data sets in functional MRI of the human brain

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Comparison of two exploratory data analysis methods for fMRI: fuzzy clustering vs. principal component analysis

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Statistical methods of estimation and inference for functional MR image analysis.

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Parametric analysis of fMRI data using linear systems methods.

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Tests of Significance in Harmonic Analysis

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Characterizing Evoked Hemodynamics with fMRI

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Statistical parametric maps in functional imaging: A general linear approach

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Analysis of fMRI Time-Series Revisited

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On clustering fMRI time series

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Statistical approaches to human brain mapping by functional magnetic resonance imaging

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A new statistical approach to detecting significant activation in functional MRI.

1 reference

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7 January 2021

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Fuzzy clustering of gradient-echo functional MRI in the human visual cortex. Part II: quantification.

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Motor Area Activity During Mental Rotation Studied by Time-Resolved Single-Trial fMRI

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Analysis of fMRI time-series revisited--again.

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Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions.

1 reference

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Identifiers

10.1016/S0933-3657(02)00008-8

1 reference

Europe PubMed Central

13 February 2018

http://europepmc.org/abstract/MED/12009263

DBLP publication ID

journals/artmed/JarmaszS02

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

Europe PubMed Central

13 February 2018

http://europepmc.org/abstract/MED/12009263

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