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Functional brain connectivity in resting-state fMRI using phase and magnitude data.
Chen Z, Caprihan A, Damaraju E, Rachakonda S, Calhoun V. Chen Z, et al. J Neurosci Methods. 2018 Jan 1;293:299-309. doi: 10.1016/j.jneumeth.2017.10.016. Epub 2017 Oct 18. J Neurosci Methods. 2018. PMID: 29055719
BACKGROUND: The output of BOLD fMRI consists of a pair of magnitude and phase components. While the magnitude data has been widely accepted for brain function analysis, we can also make use of the phase data (unwrappe …
BACKGROUND: The output of BOLD fMRI consists of a pair of magnitude and phase components. While the magnitude
Phase fMRI defines brain resting-state functional hubs within central and posterior regions.
Chen Z, Daniel E, Chen BT. Chen Z, et al. Brain Struct Funct. 2021 Jul;226(6):1925-1941. doi: 10.1007/s00429-021-02301-z. Epub 2021 May 29. Brain Struct Funct. 2021. PMID: 34050790
For the resting-state functional MRI (fMRI) data (complex-valued EPI images in nature), both magnitude and phase images are useful for brain FC analysis. We herein report on brain functional hubness analysis by …
For the resting-state functional MRI (fMRI) data (complex-valued EPI images in nature), both magnitude
Phase fMRI Reveals More Sparseness and Balance of Rest Brain Functional Connectivity Than Magnitude fMRI.
Chen Z, Fu Z, Calhoun V. Chen Z, et al. Front Neurosci. 2019 Mar 18;13:204. doi: 10.3389/fnins.2019.00204. eCollection 2019. Front Neurosci. 2019. PMID: 30936819 Free PMC article.
In this study, we collected a cohort of resting-state fMRI magnitude and phase data pairs from 600 subjects (age from 10 to 76, 346 males), decomposed the phase data by group independent component analysis (pICA), calculated …
In this study, we collected a cohort of resting-state fMRI magnitude and phase data pairs from 600 …
Phase fMRI informs whole-brain function connectivity balance across lifespan with connection-specific aging effects during the resting state.
Chen Z, Zhou Q, Calhoun V. Chen Z, et al. Brain Struct Funct. 2019 May;224(4):1489-1503. doi: 10.1007/s00429-019-01850-8. Epub 2019 Mar 2. Brain Struct Funct. 2019. PMID: 30826929
A functional magnetic resonance imaging (fMRI) experiment produces complex-valued images consisting of pairwise magnitude and phase images. As different perspective on the same magnetic source, fMRI magnitude a …
A functional magnetic resonance imaging (fMRI) experiment produces complex-valued images consisting of pa …
Serotonergic modulation of resting state default mode network connectivity in healthy women.
Helmbold K, Zvyagintsev M, Dahmen B, Biskup CS, Bubenzer-Busch S, Gaber TJ, Klasen M, Eisert A, Konrad K, Habel U, Herpertz-Dahlmann B, Zepf FD. Helmbold K, et al. Amino Acids. 2016 Apr;48(4):1109-1120. doi: 10.1007/s00726-015-2137-4. Epub 2016 Jan 14. Amino Acids. 2016. PMID: 26767373 Clinical Trial.
Here, we investigated the serotonergic modulation of intrinsic functional connectivity (FC) within the DMN in healthy adult females, controlling for the menstrual cycle phase. ...Acute tryptophan depletion (ATD) and a balanced amino acid load (BAL), used as t …
Here, we investigated the serotonergic modulation of intrinsic functional connectivity (FC) within the DMN in healthy adult fe …
Comparison of fluctuations in global network topology of modeled and empirical brain functional connectivity.
Fukushima M, Sporns O. Fukushima M, et al. PLoS Comput Biol. 2018 Sep 25;14(9):e1006497. doi: 10.1371/journal.pcbi.1006497. eCollection 2018 Sep. PLoS Comput Biol. 2018. PMID: 30252835 Free PMC article.
Dynamic models of large-scale brain activity have been used for reproducing many empirical findings on human brain functional connectivity. Features that have been shown to be reproducible by comparing modeled to empirical data include functi
Dynamic models of large-scale brain activity have been used for reproducing many empirical findings on human brain function
A Wavelet-Based Approach for Estimating Time-Varying Connectivity in Resting-State Functional Magnetic Resonance Imaging.
Savva AD, Matsopoulos GK, Mitsis GD. Savva AD, et al. Brain Connect. 2022 Apr;12(3):285-298. doi: 10.1089/brain.2021.0015. Epub 2021 Aug 23. Brain Connect. 2022. PMID: 34155908
Methods: A previously proposed wavelet-based method was accordingly adjusted for estimating time-varying FC (TVFC) and was applied to a large high-quality, low-motion dataset of 400 resting-state functional magnetic resonance imaging d
Methods: A previously proposed wavelet-based method was accordingly adjusted for estimating time-varying FC (TVFC) and was applied to a larg …
Neural Basis of Increased Cognitive Control of Impulsivity During the Mid-Luteal Phase Relative to the Late Follicular Phase of the Menstrual Cycle.
Zhuang JY, Wang JX, Lei Q, Zhang W, Fan M. Zhuang JY, et al. Front Hum Neurosci. 2020 Nov 12;14:568399. doi: 10.3389/fnhum.2020.568399. eCollection 2020. Front Hum Neurosci. 2020. PMID: 33304251 Free PMC article.
Here, with the aim of examining the neural mechanisms underlying cognitive control of impulsivity, we compared event-related monetary delay discounting task behavior and concurrent functional magnetic resonance imaging (fMRI) revealed brain
Here, with the aim of examining the neural mechanisms underlying cognitive control of impulsivity, we compared event-related monetary delay …
Resilience of developing brain networks to interictal epileptiform discharges is associated with cognitive outcome.
Ibrahim GM, Cassel D, Morgan BR, Smith ML, Otsubo H, Ochi A, Taylor M, Rutka JT, Snead OC 3rd, Doesburg S. Ibrahim GM, et al. Brain. 2014 Oct;137(Pt 10):2690-702. doi: 10.1093/brain/awu214. Epub 2014 Aug 7. Brain. 2014. PMID: 25104094 Free PMC article.
Using a combined functional magnetic resonance imaging-magnetoencephalography approach, we examine the effects of interictal epileptiform discharges on intrinsic connectivity networks and neurocognitive outcome. Functional magnetic
Using a combined functional magnetic resonance imaging-magnetoencephalography approach, we examine the effects o …