On the Stability of BOLD fMRI Correlations

Laumann, Timothy O.; Snyder, Abraham Z.; Mitra, Anish; Gordon, Evan M.; Gratton, Caterina; Adeyemo, Babatunde; Gilmore, Adrian W.; Nelson, Steven M.; Berg, Jeffrey J.; Greene, Deanna J.; McCarthy, John E.; Tagliazucchi, Enzo; Laufs, Helmut; Schlaggar, Bradley L.; Dosenbach, Nico U.F.; Petersen, Steven E.

doi:10.1093/cercor/bhw265

Cited by 397 publications

(543 citation statements)

References 94 publications

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“…Evaluating motion (e.g. using frame-wise displacement or DVARS (Derivative of Root-mean-square VARiance over voxelS) and incorporating strategies to account for motion artifacts that go beyond rigid body realignment and regression of motion parameters are required (Laumann et al, 2016;Power et al, 2015;Satterthwaite et al, 2013). Data censoring or scrubbing, i.e.…”

Section: Methodsological Considerationsmentioning

confidence: 99%

The emergence of functional architecture during early brain development

2017

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Early human brain development constitutes a sequence of intricate processes resulting in the ontogeny of functionally operative neural circuits. Developmental trajectories of early brain network formation are genetically programmed and can be modified by epigenetic and environmental influences. Such alterations may exert profound effects on neurodevelopment, potentially persisting throughout the lifespan. This review focuses on the critical period of fetal and early postnatal brain development. Here we collate findings from neuroimaging studies, with a particular focus on functional MRI research that interrogated early brain network development in both health and high-risk or disease states. First, we will provide an overview of the developmental processes that take place from the embryonic period through early infancy in order to contextualize brain network formation. Second, functional brain network development in the typically developing brain will be discussed. Third, we will touch on prenatal and perinatal risk factors that may interfere with the trajectories of functional brain wiring, including prenatal substance exposure, maternal mental illness and preterm

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Section: Methodsological Considerationsmentioning

confidence: 99%

The emergence of functional architecture during early brain development

2017

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“…Indeed, recent studies using resting-state fMRI in humans reported that the temporal fluctuation of FC cannot be distinguished from that in a model assuming stationary FC and statistical sampling error [23,24]. Applying the same analysis to the mouse data, we found that, in both neuronal calcium and hemodynamic signals, the temporal dynamics of FC were not fully explained by stationary FC [16].…”

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confidence: 83%

Mouse optical imaging for understanding resting-state functional connectivity in human fMRI

Matsui

Murakami

Ohki

2018

Communicative & Integrative Biology

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Resting-state functional connectivity (FC), which measures the temporal correlation of spontaneous hemodynamic activity between distant brain areas, is a widely accepted method in functional magnetic resonance imaging (fMRI) to assess the connectome of healthy and diseased human brains. A common assumption underlying FC is that it reflects the temporal structure of large-scale neuronal activity that is converted into large-scale hemodynamic activity. However, direct observation of such relationship has been difficult. In this commentary, we describe our recent progress regarding this topic. Recently, transgenic mice that express a genetically encoded calcium indicator (GCaMP) in neocortical neurons are enabling the optical recording of neuronal activity in large-scale with high spatiotemporal resolution. Using these mice, we devised a method to simultaneously monitor neuronal and hemodynamic activity and addressed some key issues related to the neuronal basis of FC. We propose that many important questions about human resting-state fMRI can be answered using GCaMP expressing transgenic mice as a model system.

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“…Permutations in the frequency domain, which preserves the power spectrum but scrambles the phases of each node 101–103 .…”

Section: Statistical Testingmentioning

confidence: 99%

Methods and Considerations for Dynamic Analysis of Functional MR Imaging Data

Chen

Rubinov

Chang

2017

Neuroimaging Clinics of North America

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Synopsis Functional MRI studies have recently begun to examine spontaneous changes in inter-regional interactions (functional connectivity) over seconds to minutes, and their relation to natural shifts in cognitive and physiological states. This practice opens the potential for uncovering structured, transient configurations of coordinated brain activity whose features may provide novel cognitive and clinical biomarkers. However, the analysis of these time-varying phenomena requires careful differentiation between neural and non-neural contributions to the fMRI signal, as well as thorough validation and statistical testing. In this article, we present an overview of methodological and interpretational considerations in this emerging field.

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On the Stability of BOLD fMRI Correlations

Cited by 397 publications

References 94 publications

The emergence of functional architecture during early brain development

The emergence of functional architecture during early brain development

Mouse optical imaging for understanding resting-state functional connectivity in human fMRI

Methods and Considerations for Dynamic Analysis of Functional MR Imaging Data

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