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Visual short-term memory binding tasks are a promising early marker forAlzheimer's disease (AD). To uncover functional deficits of AD in these tasksit is meaningful to first study unimpaired brain function. Electroencephalogramrecordings were obtained from encoding and maintenance periods of tasksperformed by healthy young volunteers. We probe the task's transientphysiological underpinnings by contrasting shape only (Shape) and shape-colourbinding (Bind) conditions, displayed in the left and right sides of the screen,separately. Particularly, we introduce and implement a novel technique namedModular Dirichlet Energy (MDE) which allows robust and flexible analysis of thefunctional network with unprecedented temporal precision. We find thatconnectivity in the Bind condition is less integrated with the global networkthan in the Shape condition in occipital and frontal modules during theencoding period of the right screen condition. Using MDE we are able to discerndriving effects in the occipital module between 100-140ms, coinciding with theP100 visually evoked potential, followed by a driving effect in the frontalmodule between 140-180ms, suggesting that the differences found constitute aninformation processing difference between these modules. This providestemporally precise information over a heterogeneous population in promisingtasks for the detection of AD.

Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy