Literature DB >> 24103849

Fusing DTI and fMRI data: a survey of methods and applications.

Dajiang Zhu1, Tuo Zhang2, Xi Jiang1, Xintao Hu2, Hanbo Chen1, Ning Yang2, Jinglei Lv2, Junwei Han2, Lei Guo2, Tianming Liu3.   

Abstract

The relationship between brain structure and function has been one of the centers of research in neuroimaging for decades. In recent years, diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI) techniques have been widely available and popular in cognitive and clinical neurosciences for examining the brain's white matter (WM) micro-structures and gray matter (GM) functions, respectively. Given the intrinsic integration of WM/GM and the complementary information embedded in DTI/fMRI data, it is natural and well-justified to combine these two neuroimaging modalities together to investigate brain structure and function and their relationships simultaneously. In the past decade, there have been remarkable achievements of DTI/fMRI fusion methods and applications in neuroimaging and human brain mapping community. This survey paper aims to review recent advancements on methodologies and applications in incorporating multimodal DTI and fMRI data, and offer our perspectives on future research directions. We envision that effective fusion of DTI/fMRI techniques will play increasingly important roles in neuroimaging and brain sciences in the years to come.
© 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 24103849      PMCID: PMC4012015          DOI: 10.1016/j.neuroimage.2013.09.071

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  111 in total

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Authors:  C Pierpaoli; P Jezzard; P J Basser; A Barnett; G Di Chiro
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Journal:  Neuroimage       Date:  2008-03-25       Impact factor: 6.556

5.  White matter microstructure underlying default mode network connectivity in the human brain.

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Journal:  Neuroimage       Date:  2009-10-28       Impact factor: 6.556

6.  A simplified method to measure the diffusion tensor from seven MR images.

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  38 in total

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6.  Structural-functional coupling changes in temporal lobe epilepsy.

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8.  Bayesian Models for fMRI Data Analysis.

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9.  Relationship between structural and functional connectivity change across the adult lifespan: A longitudinal investigation.

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10.  GENETIC ANALYSIS OF STRUCTURAL BRAIN CONNECTIVITY USING DICCCOL MODELS OF DIFFUSION MRI IN 522 TWINS.

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