University of Groningen
Visualization and exploration of multichannel EEG coherence networks
Ji, Chengtao
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Publication date:
2018
Link to publication in University of Groningen/UMCG research database
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Ji, C. (2018). Visualization and exploration of multichannel EEG coherence networks. University of
Groningen.
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P R O P O S I T I O N S
belonging to the thesis
V I S U A L I Z A T I O N A N D E X P L O R A T I O N O F M U L T I C H A N N E L E E G C O H E R E N C E N E T W O R K S
by
c h e n g ta o j i
1. Visualization provides a visual representation of the data to help people carry out analysis tasks effectively; it happens at an early state in the process, usually before a statistical or computational analysis, and it allows people to explore their data before knowing exactly what kind of questions to ask.
– Chapter 2, 3, and 5
2. Requirements collection and a user study are two important steps in visualization design which strengthen the design.
– Chapters 2
3. Web technologies and visualization are a great match.
– Chapter 2
4. The timeline representation can provide the evolution pattern of time-dependent data, and help researchers propose hypotheses to explain these patterns for further study.
– Chapters 2 and 3
5. A proper choice of a color space is important for visualization.
– Chapters 2 and 3
6. Quantitative comparisons of brain networks can be further used to reveal pre-sumed connectivity changes in neurological and psychiatric disorders.
– Chapter 4
7. The distribution of functional units (F Us) in an EEG coherence network can be seen as a feature of that EEG coherence network.
– Chapter 4 and 5
8. As nature’s movement is ever vigorous, so must a gentleman ceaselessly strive along. (天行健，君子以自强不息。)
– The Book of Changes (《易经》) 9. When we do not, by what we do, realise what we desire, we must turn inwards,
and examine ourselves in every point. (行有不得者，皆反求诸己。) – Mencius (孟子 )
