Literature DB >> 28353416

Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks.

K A Smitha1, K Akhil Raja1, K M Arun1, P G Rajesh2, Bejoy Thomas1, T R Kapilamoorthy1, Chandrasekharan Kesavadas1.   

Abstract

The inquisitiveness about what happens in the brain has been there since the beginning of humankind. Functional magnetic resonance imaging is a prominent tool which helps in the non-invasive examination, localisation as well as lateralisation of brain functions such as language, memory, etc. In recent years, there is an apparent shift in the focus of neuroscience research to studies dealing with a brain at 'resting state'. Here the spotlight is on the intrinsic activity within the brain, in the absence of any sensory or cognitive stimulus. The analyses of functional brain connectivity in the state of rest have revealed different resting state networks, which depict specific functions and varied spatial topology. However, different statistical methods have been introduced to study resting state functional magnetic resonance imaging connectivity, yet producing consistent results. In this article, we introduce the concept of resting state functional magnetic resonance imaging in detail, then discuss three most widely used methods for analysis, describe a few of the resting state networks featuring the brain regions, associated cognitive functions and clinical applications of resting state functional magnetic resonance imaging. This review aims to highlight the utility and importance of studying resting state functional magnetic resonance imaging connectivity, underlining its complementary nature to the task-based functional magnetic resonance imaging.

Keywords:  Graph analysis; independent component analysis; resting state functional connectivity; seed-based analysis

Mesh:

Year:  2017        PMID: 28353416      PMCID: PMC5524274          DOI: 10.1177/1971400917697342

Source DB:  PubMed          Journal:  Neuroradiol J        ISSN: 1971-4009


  97 in total

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4.  Analysis of fMRI data by blind separation into independent spatial components.

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Review 5.  On the characteristics of functional magnetic resonance imaging of the brain.

Authors:  S Ogawa; R S Menon; S G Kim; K Ugurbil
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6.  An information-maximization approach to blind separation and blind deconvolution.

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  126 in total

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3.  Functional near-infrared spectroscopy is in moderate accordance with functional MRI in determining lateralisation of frontal language areas.

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Journal:  Neuroradiol J       Date:  2017-10-26

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6.  Unravelling the effects of methylphenidate on the dopaminergic and noradrenergic functional circuits.

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7.  Longitudinal evaluation of resting-state connectivity, white matter integrity and cortical thickness in stable HIV infection: Preliminary results.

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Review 8.  Preeclampsia and Neurodevelopmental Outcomes: Potential Pathogenic Roles for Inflammation and Oxidative Stress?

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