Literature DB >> 28017922

Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies.

Shella D Keilholz1, Wen-Ju Pan2, Jacob Billings3, Maysam Nezafati2, Sadia Shakil4.   

Abstract

The BOLD signal reflects hemodynamic events within the brain, which in turn are driven by metabolic changes and neural activity. However, the link between BOLD changes and neural activity is indirect and can be influenced by a number of non-neuronal processes. Motion and physiological cycles have long been known to affect the BOLD signal and are present in both humans and animal models. Differences in physiological baseline can also contribute to intra- and inter-subject variability. The use of anesthesia, common in animal studies, alters neural activity, vascular tone, and neurovascular coupling. Most intriguing, perhaps, are the contributions from other processes that do not appear to be neural in origin but which may provide information about other aspects of neurophysiology. This review discusses different types of noise and non-neuronal contributors to the BOLD signal, sources of variability for animal studies, and insights to be gained from animal models.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Animal studies; Functional MRI; Functional connectivity; Noise; Non-neuronal contributions; fMRI; rs-fMRI

Mesh:

Year:  2016        PMID: 28017922      PMCID: PMC5481494          DOI: 10.1016/j.neuroimage.2016.12.019

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


  188 in total

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Journal:  Neuroimage       Date:  2000-01       Impact factor: 6.556

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4.  Laminar specificity of functional MRI onset times during somatosensory stimulation in rat.

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5.  Mapping the mouse brain with rs-fMRI: An optimized pipeline for functional network identification.

Authors:  Valerio Zerbi; Joanes Grandjean; Markus Rudin; Nicole Wenderoth
Journal:  Neuroimage       Date:  2015-08-18       Impact factor: 6.556

6.  Functional connectivity in blood oxygenation level-dependent and cerebral blood volume-weighted resting state functional magnetic resonance imaging in the rat brain.

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7.  Altered global brain signal in schizophrenia.

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Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-05       Impact factor: 11.205

8.  Role of the ventral surface of medulla in the generation of Mayer waves.

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9.  Hypnotic hypersensitivity to volatile anesthetics and dexmedetomidine in dopamine β-hydroxylase knockout mice.

Authors:  Frances Y Hu; George M Hanna; Wei Han; Feras Mardini; Steven A Thomas; Abraham J Wyner; Max B Kelz
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10.  Task-related effects on the temporal and spatial dynamics of resting-state functional connectivity in the default network.

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  13 in total

1.  Quasi-periodic patterns of intrinsic brain activity in individuals and their relationship to global signal.

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Review 2.  Time-Resolved Resting-State Functional Magnetic Resonance Imaging Analysis: Current Status, Challenges, and New Directions.

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Review 5.  Contribution of animal models toward understanding resting state functional connectivity.

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6.  Frequency-specific coactivation patterns in resting-state and their alterations in schizophrenia: An fMRI study.

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Review 7.  Neural and metabolic basis of dynamic resting state fMRI.

Authors:  Garth J Thompson
Journal:  Neuroimage       Date:  2017-09-09       Impact factor: 6.556

8.  Dynamic resting state fMRI analysis in mice reveals a set of Quasi-Periodic Patterns and illustrates their relationship with the global signal.

Authors:  Michaël E Belloy; Maarten Naeyaert; Anzar Abbas; Disha Shah; Verdi Vanreusel; Johan van Audekerke; Shella D Keilholz; Georgios A Keliris; Annemie Van der Linden; Marleen Verhoye
Journal:  Neuroimage       Date:  2018-02-15       Impact factor: 6.556

9.  Spontaneous cognitive processes and the behavioral validation of time-varying brain connectivity.

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10.  Age-related alterations in the cerebrovasculature affect neurovascular coupling and BOLD fMRI responses: Insights from animal models of aging.

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Journal:  Psychophysiology       Date:  2020-11-03       Impact factor: 4.348

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