Comparison of network analysis approaches on EEG connectivity in beta during visual short-term memory binding tasks

Keith Smith, Hamed Azami, Javier Escudero, Mario A. Parra, John M. Starr

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

We analyse the electroencephalogram signals in the beta band of working memory representation recorded from young healthy volunteers performing several different Visual Short-Term Memory (VSTM) tasks which have proven useful in the assessment of clinical and preclinical Alzheimer’s disease. We compare network analysis using Maximum Spanning Trees (MSTs) with network analysis obtained using 20% and 25% connection thresholds on the VSTM data. MSTs are a promising method of network analysis negating the more classical use of thresholds which are so far chosen arbitrarily. However, we find that the threshold analyses outperforms MSTs for detection of functional network differences. Particularly, MSTs fail to find any significant differences. Further, the thresholds detect significant differences between shape and shape-colour binding tasks when these are tested in the left side of the display screen, but no such differences are detected when these tasks are tested for in the right side of the display screen. This provides evidence that contralateral activity is a significant factor in sensitivity for detection of cognitive task differences.

Conference

Conference37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
CountryItaly
CityMilan
Period25/08/1529/08/15

Fingerprint

Memory Term
Network Analysis
Short-Term Memory
Electroencephalography
Connectivity
Spanning tree
Display
Healthy Volunteers
Alzheimer Disease
Working Memory
Color
Alzheimer's Disease
Electroencephalogram
Vision

Keywords

  • electroencephalogram signals
  • network analysis
  • working memory representation
  • visual short-term memory (VSTM) tasks

Cite this

Smith, K., Azami, H., Escudero, J., Parra, M. A., & Starr, J. M. (2015). Comparison of network analysis approaches on EEG connectivity in beta during visual short-term memory binding tasks. 2207-2210. Paper presented at 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy. https://doi.org/10.1109/EMBC.2015.7318829
Smith, Keith ; Azami, Hamed ; Escudero, Javier ; Parra, Mario A. ; Starr, John M. / Comparison of network analysis approaches on EEG connectivity in beta during visual short-term memory binding tasks. Paper presented at 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy.4 p.
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abstract = "We analyse the electroencephalogram signals in the beta band of working memory representation recorded from young healthy volunteers performing several different Visual Short-Term Memory (VSTM) tasks which have proven useful in the assessment of clinical and preclinical Alzheimer’s disease. We compare network analysis using Maximum Spanning Trees (MSTs) with network analysis obtained using 20{\%} and 25{\%} connection thresholds on the VSTM data. MSTs are a promising method of network analysis negating the more classical use of thresholds which are so far chosen arbitrarily. However, we find that the threshold analyses outperforms MSTs for detection of functional network differences. Particularly, MSTs fail to find any significant differences. Further, the thresholds detect significant differences between shape and shape-colour binding tasks when these are tested in the left side of the display screen, but no such differences are detected when these tasks are tested for in the right side of the display screen. This provides evidence that contralateral activity is a significant factor in sensitivity for detection of cognitive task differences.",
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author = "Keith Smith and Hamed Azami and Javier Escudero and Parra, {Mario A.} and Starr, {John M.}",
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Smith, K, Azami, H, Escudero, J, Parra, MA & Starr, JM 2015, 'Comparison of network analysis approaches on EEG connectivity in beta during visual short-term memory binding tasks' Paper presented at 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, 25/08/15 - 29/08/15, pp. 2207-2210. https://doi.org/10.1109/EMBC.2015.7318829

Comparison of network analysis approaches on EEG connectivity in beta during visual short-term memory binding tasks. / Smith, Keith; Azami, Hamed; Escudero, Javier; Parra, Mario A.; Starr, John M.

2015. 2207-2210 Paper presented at 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy.

Research output: Contribution to conferencePaper

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Smith K, Azami H, Escudero J, Parra MA, Starr JM. Comparison of network analysis approaches on EEG connectivity in beta during visual short-term memory binding tasks. 2015. Paper presented at 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy. https://doi.org/10.1109/EMBC.2015.7318829