Literature DB >> 23224003

Low-frequency oscillations measured in the periphery with near-infrared spectroscopy are strongly correlated with blood oxygen level-dependent functional magnetic resonance imaging signals.

Yunjie Tong1, Lia Maria Hocke, Stephanie C Licata, Blaise deB Frederick.   

Abstract

Low-frequency oscillations (LFOs) in the range of 0.01-0.15 Hz are commonly observed in functional imaging studies, such as blood oxygen level-dependent functional magnetic resonance imaging (BOLD fMRI) and functional near-infrared spectroscopy (fNIRS). Some of these LFOs are nonneuronal and are closely related to autonomic physiological processes. In the current study, we conducted a concurrent resting-state fMRI and NIRS experiment with healthy volunteers. LFO data was collected simultaneously at peripheral sites (middle fingertip and big toes) by NIRS, and centrally in the brain by BOLD fMRI. The cross-correlations of the LFOs collected from the finger, toes, and brain were calculated. Our data show that the LFOs measured in the periphery (NIRS signals) and in the brain (BOLD fMRI) were strongly correlated with varying time delays. This demonstrates that some portion of the LFOs actually reflect systemic physiological circulatory effects. Furthermore, we demonstrated that NIRS is effective for measuring the peripheral LFOs, and that these LFOs and the temporal shifts between them are consistent in healthy participants and may serve as useful biomarkers for detecting and monitoring circulatory dysfunction.

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Year:  2012        PMID: 23224003      PMCID: PMC3461094          DOI: 10.1117/1.JBO.17.10.106004

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  39 in total

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Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

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Authors:  Rasmus M Birn; Monica A Smith; Tyler B Jones; Peter A Bandettini
Journal:  Neuroimage       Date:  2007-12-15       Impact factor: 6.556

5.  Dynamics of blood flow and oxygenation changes during brain activation: the balloon model.

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7.  An improved method for mapping cerebrovascular reserve using concurrent fMRI and near-infrared spectroscopy with Regressor Interpolation at Progressive Time Delays (RIPTiDe).

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8.  Time lag dependent multimodal processing of concurrent fMRI and near-infrared spectroscopy (NIRS) data suggests a global circulatory origin for low-frequency oscillation signals in human brain.

Authors:  Yunjie Tong; Blaise Deb Frederick
Journal:  Neuroimage       Date:  2010-06-28       Impact factor: 6.556

Review 9.  Spontaneous low-frequency blood oxygenation level-dependent fluctuations and functional connectivity analysis of the 'resting' brain.

Authors:  Dorothee P Auer
Journal:  Magn Reson Imaging       Date:  2008-07-26       Impact factor: 2.546

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  39 in total

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2.  Design of multichannel functional near-infrared spectroscopy system with application to propofol and sevoflurane anesthesia monitoring.

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3.  Mayer waves reduce the accuracy of estimated hemodynamic response functions in functional near-infrared spectroscopy.

Authors:  Meryem A Yücel; Juliette Selb; Christopher M Aasted; Pei-Yi Lin; David Borsook; Lino Becerra; David A Boas
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4.  Global fluctuations of cerebral blood flow indicate a global brain network independent of systemic factors.

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Journal:  J Cereb Blood Flow Metab       Date:  2017-08-17       Impact factor: 6.200

5.  The resting-state fMRI arterial signal predicts differential blood transit time through the brain.

Authors:  Yunjie Tong; Jinxia Fiona Yao; J Jean Chen; Blaise deB Frederick
Journal:  J Cereb Blood Flow Metab       Date:  2018-01-15       Impact factor: 6.200

6.  Altered cortical activation and connectivity patterns for visual attention processing in young adults post-traumatic brain injury: A functional near infrared spectroscopy study.

Authors:  Ziyan Wu; Catherine A Mazzola; Lori Catania; Oyindamola Owoeye; Chang Yaramothu; Tara Alvarez; Yu Gao; Xiaobo Li
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7.  Perfusion information extracted from resting state functional magnetic resonance imaging.

Authors:  Yunjie Tong; Kimberly P Lindsey; Lia M Hocke; Gordana Vitaliano; Dionyssios Mintzopoulos; Blaise deB Frederick
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8.  A Bayesian Algorithm for Anxiety Index Prediction Based on Cerebral Blood Oxygenation in the Prefrontal Cortex Measured by Near Infrared Spectroscopy.

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9.  Systemic low-frequency oscillations observed in the periphery of healthy human subjects.

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10.  Evaluating the effects of systemic low frequency oscillations measured in the periphery on the independent component analysis results of resting state networks.

Authors:  Yunjie Tong; Lia M Hocke; Lisa D Nickerson; Stephanie C Licata; Kimberly P Lindsey; Blaise deB Frederick
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