| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 6025385 | NeuroImage | 2015 | 8 Pages | 
Abstract
												Although visual short-term memory (VSTM) performance has been hypothesized to rely on two distinct mechanisms, capacity and filtering, the two have not been dissociated using network-level causality measures. Here, we hypothesized that behavioral tasks challenging capacity or distraction filtering would both engage a common network of areas, namely dorsolateral prefrontal cortex (dlPFC), superior parietal lobule (SPL), and occipital cortex, but would do so according to dissociable patterns of effective connectivity. We tested this by estimating directed connectivity between areas using conditional Granger causality (cGC). Consistent with our prediction, the results indicated that increasing mnemonic load (capacity) increased the top-down drive from dlPFC to SPL, and cGC in the alpha (8-14 Hz) frequency range was a predominant component of this effect. The presence of distraction during encoding (filtering), in contrast, was associated with increased top-down drive from dlPFC to occipital cortices directly and from SPL to occipital cortices directly, in both cases in the beta (15-25 Hz) range. Thus, although a common anatomical network may serve VSTM in different contexts, it does so via specific functions that are carried out within distinct, dynamically configured frequency channels.
											Keywords
												VSTMDLPFCITIICAMVARmultivariate autoregressiveSPLCDASTMMultivariate autoregressive modelsTMSCGCEffective connectivityElectroencephalogramExpectation-MaximizationCSAERPIndependent components analysisTranscranial magnetic stimulationAttentionshort-term memoryVisual short-term memoryBEMGranger causalityConditional Granger causalityintertrial intervalcontralateral delay activitydorsolateral prefrontal cortexSuperior parietal lobuleEEGEvent-related potential
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											Authors
												Bornali Kundu, Jui-Yang Chang, Bradley R. Postle, Barry D. Van Veen, 
											