Resting-state functional connectivity in the human brain revealed with diffuse optical tomography
By Brian R. White, Abraham Z. Snyder, Alexander Li Cohen, Steven E. Petersen, Marcus E. Raichle, Bradley L. Schlaggar, Joseph P. Culver. NeuroImage, 2009
295 citations recorded by the source corpus.
Mapping resting-state networks allows insight into the brain's functional architecture and physiology and has rapidly become important in contemporary neuroscience research. Diffuse optical tomography (DOT) is an emerging functional neuroimaging technique with the advantages, relative to functional magnetic resonance imaging (fMRI), of portability and the ability to simultaneously measure both oxy- and deoxy-hemoglobin. Previous optical studies have evaluated the temporal features of spontaneous resting brain signals. Herein, we develop techniques for spatially mapping functional connectivity with DOT (fc-DOT). Simultaneous imaging over the motor and visual cortices yielded robust correlation maps reproducing the expected functional neural architecture. The localization of the maps was confirmed with task-response studies and with subject-matched fc-MRI. These fc-DOT methods provide a task-less approach to mapping brain function in populations that were previously difficult to research. Our advances may permit new studies of early childhood development and of unconscious patients. In addition, the comprehensive hemoglobin contrasts of fc-DOT enable innovative studies of the biophysical origin of the functional connectivity signal.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/9c152d1f7507f32ad8d471fee2a74900b0fcd70c
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In Cognitive Neuroscience
In Radiology, Nuclear Medicine and Imaging
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- Stefan Kleiser
- Martin Wolf
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- Ursula Wolf
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Citations in the corpus
- NIRS-Based Hyperscanning Reveals Increased Interpersonal Coherence in Superior Frontal Cortex during Cooperation (2011, unknown): “…brain-computer interfaces (Coyle et al., 2004; 2007; Power et al., 2010; Sitaram et al., 2007; Utsugi et al., 2008), and brain activity in both active tasks and resting states (Boecker et al., 2007; Herrmann et al., 2005; Honda et al., 2010; Lu et al., 2010; White et al., 2009; Zhang et al., 2010).”
- A quantitative comparison of NIRS and fMRI across multiple cognitive tasks (2010, unknown): “NIRS has been used to study brain activity in both active tasks and resting states (Boecker et al., 2007; Herrmann et al., 2005; White et al., 2009; Honda et al., 2010; Zhang et al., 2010; Lu et al., 2010) and may be particularly useful with experimental paradigms that are not well suited to the MRI”
- Statistical analysis of fNIRS data: A comprehensive review (2014, unknown): “Fourier analysis is another simple way of comparing time course data (Schroeter et al., 2004; White et al., 2009).”
- A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology (2014, methodology): “…can be used to assess the so called “resting-state functional connectivity” of the brain (Greicius et al., 2009; Raichle, 2009; Sasai et al., 2012; White et al., 2009), which can be directly measured using electroencephalography (EEG) or magnetoencephalography (MEG), and indirectly using fNIRI,…”