White Matter fMRI Activation Cannot Be Treated as a Nuisance Regressor: Overcoming a Historical Blind Spot

Since initial reports regarding the impact of motion artifact on measures of functional connectivity, there has been a proliferation of participant-level confound regression methods to limit its impact. However, many of the most commonly used techniques have not been systematically evaluated using a broad range of outcome measures. Here, we provide a systematic evaluation of 14 participant-level confound regression methods in 393 youths. Specifically, we compare methods according to four benchmarks, including the residual relationship between motion and connectivity, distance-dependent effects of motion on connectivity, network identifiability, and additional degrees of freedom lost in confound regression. Our results delineate two clear trade-offs among methods. First, methods that include global signal regression minimize the relationship between connectivity and motion, but result in distance-dependent artifact. In contrast, censoring methods mitigate both motion artifact and distance-dependence, but use additional degrees of freedom. Importantly, less effective de-noising methods are also unable to identify modular network structure in the connectome. Taken together, these results emphasize the heterogeneous efficacy of existing methods, and suggest that different confound regression strategies may be appropriate in the context of specific scientific goals.

Neural activity is intimately tied to blood flow in the brain. This coupling is specific enough in space and time that modern imaging methods use local hemodynamics as a measure of brain activity. In this review, we discuss recent evidence indicating that neuronal activity is coupled to local blood flow changes through an intermediary, the astrocyte. We highlight unresolved issues regarding the role of astrocytes and propose ways to address them using novel techniques. Our focus is on cellular level analysis in vivo, but we also relate mechanistic insights gained from ex vivo experiments to native tissue. We also review some strategies to harness advances in optical and genetic methods to study neurovascular coupling in the intact brain. Copyright © 2011 Elsevier Inc. All rights reserved.

Vesicular release of neurotransmitter is the universal output signal of neurons in the brain. It is generally believed that fast transmitter release is restricted to nerve terminals that contact postsynaptic cells in the gray matter. Here we show in the rat brain that the neurotransmitter glutamate is also released at discrete sites along axons in white matter in the absence of neurons and nerve terminals. The propagation of single action potentials along axons leads to rapid vesicular release of glutamate, which is detected by ionotropic glutamate receptors on local oligodendrocyte precursor cells. Axonal release of glutamate is reliable, involves highly localized calcium microdomain signaling and is strongly calcium cooperative, similar to vesicle fusion at synapses. This axonal transmitter release represents a widespread mechanism for high-fidelity, activity-dependent signaling at the axon-glia interface in white matter.