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

Keith Smith, Benjamin Ricaud, Nauman Shahid, Stephen Rhodes, John M. Starr, Augustin Ibáñez, Mario Parra Rodriguez, Javier Escudero, Pierre Vandergheynst

Abstract

Visual short-term memory binding tasks are a promising early marker for Alzheimer’s disease (AD). To uncover functional
deficits of AD in these tasks it is meaningful to first study unimpaired brain function. Electroencephalogram recordings were
obtained from encoding and maintenance periods of tasks performed by healthy young volunteers. We probe the task’s transient
physiological underpinnings by contrasting shape only (Shape) and shape-colour binding (Bind) conditions, displayed in the left
and right sides of the screen, separately. Particularly, we introduce and implement a novel technique named Modular Dirichlet
Energy (MDE) which allows robust and flexible analysis of the functional network with unprecedented temporal precision. We
find that connectivity in the Bind condition is less integrated with the global network than in the Shape condition in occipital and
frontal modules during the encoding period of the right screen condition. Using MDE we are able to discern driving effects in
the occipital module between 100-140ms, coinciding with the P100 visually evoked potential, followed by a driving effect in
the frontal module between 140-180ms, suggesting that the differences found constitute an information processing difference
between these modules. This provides temporally precise information over a heterogeneous population in promising tasks for
the detection of AD.
Original languageEnglish
Article number42013
JournalScientific Reports
Volume7
Early online date10 Feb 2017
DOIs
StateE-pub ahead of print - 10 Feb 2017

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energy
Short-Term Memory
Alzheimer Disease
memory
network
effect
information processing
recording
brain
deficit
maintenance
function
population
information
analysis
Automatic Data Processing
Evoked Potentials
Electroencephalography
Healthy Volunteers
Color

Cite this

Smith, K., Ricaud, B., Shahid, N., Rhodes, S., Starr, J. M., Ibáñez, A., ... Vandergheynst, P. (2017). Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy. Scientific Reports, 7, [42013]. DOI: 10.1038/srep42013

Smith, Keith; Ricaud, Benjamin; Shahid, Nauman; Rhodes, Stephen; Starr, John M.; Ibáñez, Augustin; Parra Rodriguez, Mario; Escudero, Javier; Vandergheynst, Pierre / Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy.

In: Scientific Reports, Vol. 7, 42013, 10.02.2017.

Research output: Contribution to journalArticle

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title = "Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy",
author = "Keith Smith and Benjamin Ricaud and Nauman Shahid and Stephen Rhodes and Starr, {John M.} and Augustin Ibáñez and {Parra Rodriguez}, Mario and Javier Escudero and Pierre Vandergheynst",
year = "2017",
month = "2",
doi = "10.1038/srep42013",
volume = "7",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",

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Smith, K, Ricaud, B, Shahid, N, Rhodes, S, Starr, JM, Ibáñez, A, Parra Rodriguez, M, Escudero, J & Vandergheynst, P 2017, 'Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy' Scientific Reports, vol 7, 42013. DOI: 10.1038/srep42013

Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy. / Smith, Keith; Ricaud, Benjamin; Shahid, Nauman; Rhodes, Stephen; Starr, John M.; Ibáñez, Augustin; Parra Rodriguez, Mario; Escudero, Javier; Vandergheynst, Pierre.

In: Scientific Reports, Vol. 7, 42013, 10.02.2017.

Research output: Contribution to journalArticle

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AU - Smith,Keith

AU - Ricaud,Benjamin

AU - Shahid,Nauman

AU - Rhodes,Stephen

AU - Starr,John M.

AU - Ibáñez,Augustin

AU - Parra Rodriguez,Mario

AU - Escudero,Javier

AU - Vandergheynst,Pierre

PY - 2017/2/10

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N2 - Visual short-term memory binding tasks are a promising early marker for Alzheimer’s disease (AD). To uncover functionaldeficits of AD in these tasks it is meaningful to first study unimpaired brain function. Electroencephalogram recordings wereobtained from encoding and maintenance periods of tasks performed by healthy young volunteers. We probe the task’s transientphysiological underpinnings by contrasting shape only (Shape) and shape-colour binding (Bind) conditions, displayed in the leftand right sides of the screen, separately. Particularly, we introduce and implement a novel technique named Modular DirichletEnergy (MDE) which allows robust and flexible analysis of the functional network with unprecedented temporal precision. Wefind that connectivity in the Bind condition is less integrated with the global network than in the Shape condition in occipital andfrontal modules during the encoding period of the right screen condition. Using MDE we are able to discern driving effects inthe occipital module between 100-140ms, coinciding with the P100 visually evoked potential, followed by a driving effect inthe frontal module between 140-180ms, suggesting that the differences found constitute an information processing differencebetween these modules. This provides temporally precise information over a heterogeneous population in promising tasks forthe detection of AD.

AB - Visual short-term memory binding tasks are a promising early marker for Alzheimer’s disease (AD). To uncover functionaldeficits of AD in these tasks it is meaningful to first study unimpaired brain function. Electroencephalogram recordings wereobtained from encoding and maintenance periods of tasks performed by healthy young volunteers. We probe the task’s transientphysiological underpinnings by contrasting shape only (Shape) and shape-colour binding (Bind) conditions, displayed in the leftand right sides of the screen, separately. Particularly, we introduce and implement a novel technique named Modular DirichletEnergy (MDE) which allows robust and flexible analysis of the functional network with unprecedented temporal precision. Wefind that connectivity in the Bind condition is less integrated with the global network than in the Shape condition in occipital andfrontal modules during the encoding period of the right screen condition. Using MDE we are able to discern driving effects inthe occipital module between 100-140ms, coinciding with the P100 visually evoked potential, followed by a driving effect inthe frontal module between 140-180ms, suggesting that the differences found constitute an information processing differencebetween these modules. This provides temporally precise information over a heterogeneous population in promising tasks forthe detection of AD.

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Smith K, Ricaud B, Shahid N, Rhodes S, Starr JM, Ibáñez A et al. Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy. Scientific Reports. 2017 Feb 10;7. 42013. Available from, DOI: 10.1038/srep42013