Decomposing the brain: Components and modes, networks and nodes

Trends in Cognitive Sciences

Volumn 16, Issue 5, 2012, Pages 255-256

  Calhoun, Vince D ^a,b   Eichele, Tom ^a,c,d,e   Adali, Tülay ^c   Allen, Elena A ^a,c  

^a MIND RESEARCH NETWORK   (United States)

^b University of New Mexico   (United States)

^c UNIVERSITY OF BERGEN   (Norway)

^d HAUKELAND UNIVERSITY HOSPITAL   (Norway)

^e University of Marylandw Baltimore County   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN FUNCTIONS; BRAIN REGIONS; FUNCTIONAL MRI;

INDEPENDENT COMPONENT ANALYSIS;

BRAIN;

BRAIN; BRAIN FUNCTION; BRAIN REGION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; INDEPENDENT COMPONENT ANALYSIS; MAGNETOENCEPHALOGRAPHY; REST; SHORT SURVEY; SIGNAL TRANSDUCTION;

ANIMALS; BRAIN; BRAIN MAPPING; HUMANS; NERVE NET;

EID: 84860363674     PISSN: 13646613     EISSN: 1879307X     Source Type: Journal    
DOI: 10.1016/j.tics.2012.03.008     Document Type: Short Survey

References (10)

1. McKeown M.J., et al. Analysis of fMRI data by blind separation into independent spatial components. Hum. Brain Map. 1998, 6:160-188.
2. Friston K.J. Modes or models: a critique on independent component analysis for fMRI. Trends Cogn. Sci. 1998, 2:373-375.
3. Calhoun V.D., et al. Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms. Hum. Brain Map. 2001, 13:43-53.
4. Seifritz E., et al. Spatiotemporal pattern of neural processing in the human auditory cortex. Science 2002, 297:1706-1708.
5. van de Ven V., et al. Neural network of speech monitoring overlaps with overt speech production and comprehension networks: a sequential spatial and temporal ICA study. NeuroImage 2009, 47:1982-1991.
6. Calhoun V.D., et al. A method for making group inferences from functional MRI data using independent component analysis. Hum. Brain Map. 2001, 14:140-151. 2001.
7. Smith S.M., et al. Temporally-independent functional modes of spontaneous brain activity. Proc. Natl. Acad. Sci. U.S.A. 2012, 109:3131-3136.
8. Jafri M., et al. A method for functional network connectivity among spatially independent resting-state components in schizophrenia. NeuroImage 2008, 39:1666-1681.
9. Allen E.A. Capturing inter-subject variability with group independent component analysis of fMRI data: a simulation study. NeuroImage 2012, 59:4141-4159.
10. Correa N., et al. Canonical correlation analysis for data fusion and group inferences: examining applications of medical imaging data. IEEE Signal Proc. Mag. 2010, 27:39-50.