.. include:: ../global.rst GLM and related operations ========================== .. _glm_4dfp: glm_4dfp -------- multivariate voxelwise regression/correlation Usage: glm_4dfp <4dfp|conc input> Examples:: glm_4dfp "4x124+" doubletask.txt b1_rmsp_dbnd_xr3d_norm Options ======= =========================================================================== -Z supress automatic removal of mean from input regressors -C read partial beta coefficients from specified 4dfp image (default compute) -o[str] save partial beta images with specified trailer (default = "coeff") -R compute partial beta images as percent modulation -b[str] save total beta images with specified trailer (default = "tbeta") -p[str] save partial corr images with specified trailer (default = "pcorr") -t[str] save total corr images with specified trailer (default = "tcorr") -r[str] save residual timeseries with specified trailer (default = "resid") -@ output big or little endian (default input endian) ======= =========================================================================== N.B.: conc files must have extension "conc" |br| N.B.: lists temporal profiles (ASCII npts x ncol; '#' introduces comments) |br| N.B.: line limits are 81920 chars and 8192 fields |br| N.B.: absent -C, options -o and -r require design matrix inversion; dimension limit 256 .. _actmapf_4dfp: actmapf_4dfp ------------ voxelwise evaluate timeseries inner product against reference waveform Usage: actmapf_4dfp <4dfp|conc input> Examples:: actmapf_4dfp -zu "3x3(11+4x15-)" b1_rmsp_dbnd_xr3d_norm actmapf_4dfp -aanatomy -c10 -u "+" ball_dbnd_xr3d.conc actmapf_4dfp -zu "4x124+" b1_rmsp_dbnd_xr3d -wweights.txt Options =============== ===================================================== -a specify 4dfp output root trailer (default = "actmap") -c scale output by specified factor -u scale weights to unit variance -z adjust weights to zero sum -R compute relative modulation (default absolute) -w read (text) weights from specified filename -@ output big or little endian (default input endian) =============== ===================================================== N.B.: conc files must have extension "conc" |br| N.B.: when using weight files 'x' frames in format are not counted |br| N.B.: relative modulation images are zeroed where mean intensity < 0.5*whole_image_mode GC_4dfp ------- Granger causality mapping Usage: GC_4dfp <4dfp|conc input> Examples:: GC_4dfp "4(4x190+)" VB20579_rmsp_faln_dbnd_xr3d_atl.conc 2 Options ======= ================================================================= -w specify timecourse profile file (one or more columns) -i use only specified column (counting from 1) of timecourse profile -a append specifed string to map output -g write lagged covariance (gamma) 4dfp stack -D write difference of directed influences (Fx->y - Fy->x) map -Z write Geweke "N(0,2)" measure (difference of square roots) map -F write Fx,y, Fx->y, Fy->x, Fx.y map stack -@ output big or little endian (default input endian) ======= ================================================================= N.B.: conc files must have extension "conc" |br| N.B.: effective frame count is determined by |br| N.B.: 'x' frames in format are not counted GC_dat ------ Granger causality on ASCII column data Usage: GC_dat Examples:: GC_dat "4x106+" ROI_timeseries.dat 2 Options ======= ================================================== -d debug mode -v verbose mode -u normalize all input timeseries to unit variance -x specify dimensionality of x process (default = 1) -m create text listing of AR model -w write residual after full AR modeling -P format residual output suitable for plotting (xyy) ======= ================================================== .. _covariance: covariance ---------- covariance, correlation, coherence, etc. on ASCII column data Usage: covariance Examples:: covariance "4x124+" doubletask.txt Options ======= =============================================================================== -q quiet mode -t optionally remove trend (ramp) from input timeseries -u optionally normalize all input timeseries to unit variance -o output lagged CCV dat files (CCR with -u) -a output lagged ACV dat file (ACR with -u) -r output Bartlett smoothed cross spectra (spectral density with -u) -p output Bartlett smoothed auto spectra (spectral density with -u) -e compute eigenvectors of lag 0 CCV -L read ROI labels from (default ignore '#' commented lines) -T additionally smooth spectra with Tukey window of specified width (in frames) -d specify frame TR in sec for Fourier analysis (default = 1.0000) -m specify CCV function maxumum lag in frames (default = 32) -D SVD lag 0 CCV and output new profile with cndnum < specified value (implies -e) -g regress timeseries in named file out of ======= =============================================================================== N.B.: all input timeseries are made zero mean as a first step |br| N.B.: region names can be specified on the first line of with '#' in the first column