Conference proceeding
GRAPH SIGNAL PROCESSING OF HUMAN BRAIN IMAGING DATA
2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), pp.980-984
01 Jan 2018
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Modern neuroimaging techniques offer disctinct views on brain structure and function. Data acquired using these techniques can be analyzed in terms of its network structure to identify organizing principles at the systems level. Graph representations are flexible frameworks where nodes are related to brain regions and edges to structural or functional links Most research to date has focused on analyzing these graphs reflecting structure or function. Graph signal processing (GSP) is an emerging area of research where signals at the nodes are studied atop the underlying graph structure. Here, we review GSP tools for brain imaging data and discuss their potential to integrate brain structure with function. We discuss how brain activity can be meaningfully filtered. We also derive surrogate data as a null model to test significance for graph signals. We review that individuals with less concentration on graph high frequency could switch attention faster.
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Details
- Title
- GRAPH SIGNAL PROCESSING OF HUMAN BRAIN IMAGING DATA
- Creators
- Weiyu Huang - Univ Penn, Dept Elect & Syst Engn, Philadelphia, PA 19104 USAThomas A. W. Bolton - Ecole Polytech Fed Lausanne, Ctr Neuroprosthet, Inst Bioengn, Lausanne, SwitzerlandJohn D. Medaglia - Drexel UniversityDanielle S. Bassett - Univ Penn, Dept Elect & Syst Engn, Philadelphia, PA 19104 USAAlejandro Ribeiro - Univ Penn, Dept Elect & Syst Engn, Philadelphia, PA 19104 USADimitri Van De Ville - Ecole Polytech Fed Lausanne, Ctr Neuroprosthet, Inst Bioengn, Lausanne, SwitzerlandIEEE
- Publication Details
- 2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), pp.980-984
- Conference
- 2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
- Publisher
- IEEE
- Number of pages
- 5
- Grant note
- DP5-OD021352 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA Bertarelli Foundation Center for Biomedical Imaging (CIBM) Perelman School of Medicine W911NF1710438 / ARO R01-DC014960 / NIDCR; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Dental & Craniofacial Research (NIDCR)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Psychology
- Identifiers
- 991019170316904721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Acoustics
- Engineering, Electrical & Electronic