Integrating group-wise functional brain activities via point processes

2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Volumn , Issue , 2014, Pages 669-672

  Jiang, Xi ^a   Lv, Jinglei ^a,b   Zhu, Dajiang ^a   Zhang, Tuo ^a,b   Hu, Xintao ^b   Guo, Lei ^b   Liu, Tianming ^a  

^a UNIVERSITY OF GEORGIA   (United States)

^b NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

Point process; State space GLM; Stochastic BOLD information; Task fMRI

Indexed keywords

BRAIN; IMAGE SEGMENTATION; NEUROPHYSIOLOGY; STOCHASTIC SYSTEMS;

BRAIN ACTIVITY; BRAIN REGIONS; GENERALIZED LINEAR MODEL; POINT PROCESS; RATE FUNCTIONS; STOCHASTIC BOLD INFORMATION; TASK FMRI; WORKING MEMORY;

FUNCTIONAL NEUROIMAGING;

EID: 84927924839     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/isbi.2014.6867959     Document Type: Conference Paper

References (10)

1. Cox D.R., and Isham V., "Point Processes", London and New York: Chapman and Hill, 1980.
2. Victor J.D., "Spike train metrics", Curr Opin Neurobiol., 15(5):585-92, 2005.
3. Brown E.N., "Theory of point processes for neural systems." Methods and Models in Neurophysics, Elsevier, p. 691-726, 2005.
4. Czanner G., et al., "Analysis of between-trial and within-trial neural spiking connectivity," J. Neurophysiol., 99(5): 2672-93, 2008.
5. Tagliazucchi E., et al., "Criticality in large-scale brain FMRI connectivity unveiled by a novel point process analysis." Front Physiol. doi:10.3389/fphys.2012.00015., 2012.
6. Durbin J, Koopman S.J., "Time Series Analysis by State Space Methods," Oxford, UK: Oxford Univ. Press, 2001.
7. Faraco CC, et al., "Complex span tasks and hippocampal recruitment during working memory." NeuroImage. 55(2):773-787, 2011.
8. Friston, K.J., et al., "Event-related fMRI: characterizing differential responses." Neuroimage 7, 30-40, 1998.
9. Dempster A.P., et al., "Maximum likelihood from incomplete data via the EM algorithm (with discussion)", J R Stat Soc B 39: 1-38, 1977.
10. Brown E.N., et al., "The time-rescaling theorem and its application to neural spike train data analysis," Neural Comput 14: 325-346, 2002.