Hi Pt
Year. I have run all the steps in the afni installation in WIN10. For the afni_system_check.py step, it did echo one error to fix; and I post this message in anoter topic.

I have tried some program for fun. I met one trouble until now: Open the AFNI, see TT_N27+tlrc, right click the image, select the "where am i". In principle, it should echo the coordinates, brain region name, broadman stuff..... However, my afni GUI QUIT after 2-4s... It makes me sad. I checked the command line to see whether it reported some errors. But nothing error I can see. Here is the command line report:
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charujing@DESKTOP-DFPPAIU:~/abin$ afni
Precompiled binary linux_ubuntu_16_64: Jan 11 2018 (Version AFNI_18.0.03)

Thanks go to ZS Saad for useful feedback

Initializing: X11[Colin Harrison v 60900031].. Widgets...... Input files:
session # 1 = /home/charujing/abin/ ==> 82 datasets
dataset count = 82
Time series = 0 files read
NLfit & NLerr= Optimizer (AFNI_NLFIM_METHOD) is SIMPLEX
NLfit & NLerr= Found 29 models
++ AFNI is detached from terminal.
charujing@DESKTOP-DFPPAIU:~/abin$
Plugins = 52 libraries read

++ NOTE: This version of AFNI was built Jan 11 2018 ++
++ NOTE: 'Define Markers' is hidden: right-click 'DataDir' to see it
++ NOTE: Use '-seehidden' option to see which plugins are hidden


------------------------- AFNI Startup Tip (34/62)---------------------------
The Define Datamode control panel lets you control how the OLay dataset is
resampled to fit the ULay dataset (that defines the basis for the pixel grid
on which the images are displayed). The options are:
NN = Nearest Neighbor Li = Linear
Cu = Cubic Bk = Blocky (between NN and Li)
When the OverLay is at a coarser resolution than the UnderLay (common in FMRI),
Li will produce 'nicer' looking maps, but NN will be more 'honest' looking.
-----------------------------------------------------------------------------
reading MNIa_caez_pmaps_18+tlrc(328 million [mega] bytes).........done
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Rujing