000			02133nam a22003378i 4500
001			CR9780511541704
003			UkCbUP
005			20200124160306.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090501s2007||||enk o ||1 0|eng|d
020			_a9780511541704 (ebook)
020			_z9780521868266 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQP357.5 _b.S276 2007
082	0	4	_a612.820151 _222
100	1		_aSarty, Gordon E., _eauthor.
245	1	0	_aComputing brain activity maps from fMRI time-series images / _cGordon E. Sarty.
264		1	_aCambridge : _bCambridge University Press, _c2007.
300			_a1 online resource (x, 187 pages _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_afMRI is a very popular method for researchers and clinicians to image human brain activity in response to given mental tasks. This book presents a comprehensive review of the methods for computing activity maps, while providing an intuitive and mathematical outline of how each method works. The approaches include statistical parametric maps (SPM), hemodynamic response modeling and deconvolution, Bayesian, Fourier and nonparametric methods. The newest activity maps provide information on regional connectivity and include principal and independent component analysis, crisp and fuzzy clustering, structural equation modeling, and dynamic causal modeling. Preprocessing and experimental design issues are discussed with references made to the software available for implementing the various methods. Aimed at graduate students and researchers, it will appeal to anyone with an interest in fMRI and who is looking to expand their perspectives of this technique.
650		0	_aComputational neuroscience.
650		0	_aBrain mapping _xData processing.
650		0	_aBrain mapping _xMathematics.
776	0	8	_iPrint version: _z9780521868266
856	4	0	_uhttps://doi.org/10.1017/CBO9780511541704
999			_c520714 _d520712