Beauchamp:Retinotopy

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Brain picture
Beauchamp Lab



Here is another page with some pictures

  1. Retinotopic Mapping Screenshots


Phase-Mapped Retinotopy

Visual areas are retinotopic. An efficient way to map visual areas is to present stimuli that traverse the visual field. Here are three snapshots of an eccentricity mapping stimulus:

Over the course of a 5-minute scan series, the ring expands from central to peripheral five times.

Here are three snapshots of a polar angle mapping stimulus:

Over the course of a 5-minute scan series, the wedge rotates around the fixation point five times.

Processing Phase-Mapped Retinotopy Data in AFNI

Here are some processing steps to analyse this data in AFNI:

First step: measure motion in each run separately, perform the registration, save motion parameters create average EPI image to register to

 3dTcat -prefix {$ec}rall {$ec}r1+orig.HEAD {$ec}r2+orig.HEAD {$ec}r3+orig.HEAD {$ec}r4+orig.HEAD {$ec}r5+orig.HEAD \
 {$ec}r6+orig.HEAD {$ec}r7+orig.HEAD {$ec}r8+orig.HEAD
 3dTstat -mean -prefix {$ec}EPImean {$ec}rall+orig.HEAD


Motion Correction

Before analyzing the retinotopy data, motion correct by aligning all EPIs to the mean EPI and registering that to the high-res anatomy, both in a single step to reduce noise. For more info, see Motion and Distortion Correction

Remove the quadratic trend from each run separately:

 foreach r (1 2 3 4 5 6 7 8)
    3dDetrend -prefix {$ec}r{$r}vrdt -polort 2  {$ec}r{$r}vr+orig
 end

Blur each run slightly:

 foreach r (1 2 3 4 5 6 7 8)
    3dmerge -doall -1blur_rms 3 -prefix {$ec}r{$r}vrdtbl {$ec}r{$r}vrdt+orig 
 end
 rm junk*

Convert to float as required by DFT, and then perform FFT on each run separately:

 foreach r (1 2 3 4 5 6 7 8)
    3dcalc -prefix junkr{$r} -datum float -a  {$ec}r{$r}vrdtbl+orig -expr "a" 
    3dDFT -prefix {$ec}r{$r}vrdtblFFT -detrend junkr{$r}+orig
 end

The retinotopic stimulus has a periodicity at frequency 5, so calculate phase at only that frequency for all runs and label the subbrick. Then, calculate amplitude squared (power) at all frequencies for all runs.

 foreach r (1 2 3 4 5 6 7 8)
    3dcalc -datum short -prefix {$ec}r{$r}vrdtblFFTf5 -cx2r PHASE -a {$ec}r{$r}vrdtblFFT+orig'[5]'  -expr "a"
    3drefit -sublabel 0 FFTr{$r}f5 -subrepkey 0 FFTr{$r}f5 {$ec}r{$r}vrdtblFFTf5+orig
    3dcalc -datum short -prefix {$ec}r{$r}vrdtblFFTMAG -cx2r ABS -a {$ec}r{$r}vrdtblFFT+orig  -expr "a*a"
 end

Average amplitude squared across runs:

 3dMean -prefix {$ec}rallvrdtblFFTMAG {$ec}r?vrdtblFFTMAG+orig.HEAD

Calculate the Fratio between the frequency of interest and neighboring frequencies

 rm junk*
 3dcalc -prefix junkMAGSTAT -a3 {$ec}rallvrdtblFFTMAG+orig -b4 {$ec}rallvrdtblFFTMAG+orig -c5 
 {$ec}rallvrdtblFFTMAG+orig -d6 {$ec}rallvrdtblFFTMAG+orig -e7 {$ec}rallvrdtblFFTMAG+orig -expr "c^2 / ( (a^2  
 + b^2 + d^2 + e^2)/4 )"

Convert to fbuc:

 3dbucket -prefix {$ec}rallvrdtblFFTMAGSTAT  -fbuc junkMAGSTAT+orig

Give it correct stats--numerator degrees of freedom is 2*number of runs, denominator degrees of freedom is 8*number of runs:

 3drefit  -sublabel 0 Significance -substatpar 0 fift 16 64 -subrepkey 0 Significance   
 {$ec}rallvrdtblFFTMAGSTAT+orig

Calculate appropriate phases by first flipping clockwise (CW) and contracting (CON) runs.

 foreach r (3 4 7 8)
    3dcalc -datum short -prefix {$ec}r{$r}vrdtblFFTf5flip -a {$ec}r{$r}vrdtblFFTf5+orig  -expr "-a"
    3drefit -sublabel 0 FFTr{$r}f5flip -subrepkey 0 FFTr{$r}f5flip {$ec}r{$r}vrdtblFFTf5flip+orig
 end

Average together the flipping CW and CON runs with the counterclockwise (CCW) and expanding (EXP) runs respectively:

  rm junk*
  3dcalc -prefix junkeccavg -datum short -a {$ec}r2vrdtblFFTf5+orig -b {$ec}r4vrdtblFFTf5flip+orig \
  -c {$ec}r6vrdtblFFTf5+orig -d {$ec}r8vrdtblFFTf5flip+orig -expr "mean(a,b,c,d)"
  3dcalc -prefix junkpolavg -datum short -a {$ec}r1vrdtblFFTf5+orig -b {$ec}r3vrdtblFFTf5flip+orig \
  -c {$ec}r5vrdtblFFTf5+orig -d {$ec}r7vrdtblFFTf5flip+orig -expr "mean(a,b,c,d)"

Combine stats, individual runs, and averages in one file for ease of viewing:

  3dbucket -prefix {$ec}Ret -fbuc  {$ec}rallvrdtblFFTMAGSTAT+orig junkeccavg+orig junkpolavg+orig 
  {$ec}r?vrdtblFFTf5+orig.HEAD {$ec}r?vrdtblFFTf5flip+orig.HEAD
  3drefit -sublabel 1 AvgEcc -subrepkey 1 AvgEcc -sublabel 2 AvgPolar -subrepkey 2 AvgPolar {$ec}Ret+orig

Here are flat maps showing the thresholded eccentricity and polar angle maps produced by this analysis:



Phase-Mapped Retinotopy, Revisited

There are some problems with the processing steps noted above. It is wrong to smooth in the volume, because adjacent voxels in 3-D space may be far apart on the cortical surface and have very different response phases. The Fourier transform is not optimal, the Hilbert delay may work better. Ziad has written a retinotopy processing script,

 /Volumes/data9/surfaces/scripts/@RetinotopicProc

Which addresses some of these problems.

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