bfm_plot_rf.m

绝对经典,老外制作的功能强大的matlab实现PLS_TOOBOX

  end;

  set(h0,'UserData',h_list);

  %  set up the scroll bar for the conditions
  %
  h1 = uicontrol('Parent',gcf, ...
           'Style', 'slider', ...
   	   'Units','normal', ...
	   'Tag', 'CondSlider', ...
	   'Callback','bfm_plot_rf(''SliderMotion'');');

  SetObjPosition('ConditionChkBoxes');

  setappdata(gcf,'SelectedCondition',ones(1,num_cond));

  return;


%--------------------------------------------------------------------------
%
function h = delete_fig()

  link_figure = getappdata(gcbf,'LinkFigureInfo');

  try 
     rmappdata(link_figure.hdl,link_figure.name);
  end;

  try
     load('pls_profile');
     pls_profile = which('pls_profile.mat');

     bfm_plot_rf_pos = get(gcbf,'position');

     save(pls_profile, '-append', 'bfm_plot_rf_pos');
  catch
  end

  return; 					% delete_fig


%--------------------------------------------------------------------------
%
function obj_pos = GetObjPosition(ObjName)

   obj = getappdata(gcf,'ObjPosition');

   i = 1;
   while i <= length(obj);
      if strcmp(ObjName,obj(i).name)
         obj_pos = obj(i).pos;
	 return;
      end;
      i = i+1;
   end;
  
   return; 					% get_obj_pos


%--------------------------------------------------------------------------
%
function SetObjPosition(ObjName)

   hh = getappdata(gcf,'VoxelIntensityFig');
   obj = getappdata(hh,'ObjPosition');

   % set the positions for all objects
   %
   if ~exist('ObjName','var') | isempty(ObjName) 
      ObjName = 'STDatamat';
   end;

   if strcmp(ObjName,'STDatamat') | strcmp(ObjName,'ALL'),
      for i=1:length(obj),
         obj_pos = obj(i).pos;
         obj_pos(2) = 1 - obj_pos(2);
         set(findobj(hh,'Tag',obj(i).name),'Position',obj_pos);
      end;
   end;

   %  set positions for the condition check box
   %
   if strcmp(ObjName,'ConditionChkBoxes')  | strcmp(ObjName,'ALL'),

      % find the position of the PLOT Button
      plot_pos = get(findobj(hh,'Tag', 'PlotButton'),'Position');

      lowest_v_pos = plot_pos(2) + plot_pos(4) * 1.5;

      chk_box_hlist = get(findobj(hh,'Tag','ConditionLabel'),'UserData');
      num_cond = length(chk_box_hlist);

      cond1_pos = GetObjPosition('Condition1');
      cond1_pos(2) = 1 - cond1_pos(2);

      cond_h = 0.06;
      rows = floor((cond1_pos(2) - lowest_v_pos) / cond_h);
      pages = ceil(num_cond / rows);

      v_pos = cond1_pos(2)-mod([1:num_cond]-1,rows)*cond_h;

      for i=1:num_cond,
         obj_pos = [cond1_pos(1) v_pos(i) cond1_pos(3) cond1_pos(4)];
         if (i <= rows), 
             visibility = 'on'; 
         else
             visibility = 'off'; 
         end;
         set(chk_box_hlist(i),'Position',obj_pos,'Visible',visibility);
      end;

      %  set the slider position
      %
      h = findobj(hh,'Tag', 'CondSlider');
      if (pages <= 1)
	 set(h,'Visible','off');
      else
         s_pos = [cond1_pos(1)+cond1_pos(3)+0.01 v_pos(rows) 0.02 cond_h*rows];
         set(h,'Min',1,'Max',pages, ...
               'Position',s_pos, ...
               'Value',pages, ...
               'Sliderstep',[1/(pages-1)-0.00001 1/(pages-1)] );
	 set(h,'Visible','on');
	 set(h,'UserData',rows);
      end;

   end;

   return; 					% get_obj_pos


%--------------------------------------------------------------------------
function make_datamat_popup(data_option)
%  data_option = 1  - plot individual ST datamat
%  data_option = 2  - plot group data
%  data_option = 3  - plot all data

   popup_h = findobj(gcf,'Tag','STDatamatPopup');
   curr_option = get(popup_h,'Userdata');
   if ~isempty(curr_option) & (curr_option == data_option)
      return;				% no change, do nothing
   end;

   st_filenames = getappdata(gcf,'STFiles')

   switch (data_option)

     case {2}					% plot individual data
        num_st_datamat = length(st_filenames);
        popup_list = cell(1,num_st_datamat);
        for i=1:num_st_datamat,
           %  get rid of ".mat" extension if there is any 
           if strcmp(st_filenames{i}.name(end-3:end),'.mat')==1
              popup_list{i} = sprintf('[%d] %s', ...
                        st_filenames{i}.group, st_filenames{i}.name(1:end-4));
           else
              popup_list{i} = sprintf('[%d] %s', ...
                        st_filenames{i}.group, st_filenames{i}.name);
           end;
        end;
        alignment = 'left';

     case {1}					% plot group data
        num_group = st_filenames{end}.group;
        popup_list = cell(1,num_group);
	for i=1:num_group,
           popup_list{i} = sprintf('[ Group #%d ]',i);
	end;
        alignment = 'left';

     case {3}					% plot all data
        popup_list{1} = '< All Data >';
        alignment = 'center';

   end;

   set(popup_h,'String',popup_list,'Userdata',data_option, ...
               'HorizontalAlignment', alignment,'Value',1);

   msg = 'Click a voxel to see the plot';
   set(findobj(gcf,'Tag','MessageLine'),'String',msg);

   return; 					% make_datamat_popup


%--------------------------------------------------------------------------
function condition_update(sessionFileList,with_path)
%
   h = findobj(gcf,'Tag', 'CondSlider');
   rows = get(h,'UserData');
   max_page = get(h,'Max');
   slider_value = round(get(h,'Value'));
   page = max_page - slider_value +1;
   set(h,'Value',slider_value);

   chk_box_hlist = get(findobj(gcf,'Tag','ConditionLabel'),'UserData');
   num_cond = length(chk_box_hlist);

   visible_list = zeros(1,num_cond);
   visible_list((page-1)*rows+1:page*rows) = 1;

   for i=1:num_cond,
      if(visible_list(i) == 0)
          set(chk_box_hlist(i),'Visible','off');
      else
          set(chk_box_hlist(i),'Visible','on');
      end;
   end;
   
   return;
%


%--------------------------------------------------------------------------
function get_st_datamat_filename(DatamatFileList)
%
%   INPUT:
%       sessionFileList - vector of cell structure, each element contains
%                         the full path of a session file.
%

  num_groups = length(DatamatFileList);

  for i=1:num_groups,
     fn = DatamatFileList{i};
     load( fn, 'session_info', 'selected_conditions' );

     [pname, fname] = fileparts(fn);
     st_filename{i}.name = fname;
     st_filename{i}.fullname = fn;
     st_filename{i}.group = i;
     st_filename{i}.profile = session_info;
     st_filename{i}.selected_conditions = selected_conditions;
  end;

  setappdata(gcf,'STFiles',st_filename);

  return;                                       % get_st_datamat_filename


%--------------------------------------------------------------------------
%
function  [raw_datamat,coords,num_subj,subj_name,behavname] = ...
						load_plotted_datamat

   old_pointer = get(gcf,'Pointer');
   set(gcf,'Pointer','watch');


   selected_files = get_selected_filename;

   if (length(selected_files) == 1)
       warning off;
       load(selected_files{1},'raw_datamat','coords','session_info', ...
					'behavdata','behavname');
       warning on;

       if ~exist('behavname','var')
          behavname = {};

          if exist('behavdata','var')
             for i=1:size(behavdata, 2)
                behavname = [behavname, {['behav', num2str(i)]}];
             end
          end
       end

       num_subj = session_info.num_subjects;
       subj_name = session_info.subj_name;
   else					%  merge files together
%       [st_datamat,st_coords,st_win_size,st_evt_list] =  ...
%                                   merge_st_datamat(selected_files);
       [tmp,datmat,coords,dims,num_cond_lst,num_subj_lst,...
		voxel_size,origin] = pet_get_common(selected_files);
   end;

   set(gcf,'Pointer',old_pointer);

   return;                                       % load_plotted_datamat


%--------------------------------------------------------------------------
%
function  [selected_files] = get_selected_filename(select_all_flg),

   st_filename = getappdata(gcf,'STFiles');

   if exist('select_all_flg','var') & (select_all_flg == 1)
      data_option = 3;
   else
      h = findobj(gcf,'Tag','STDatamatPopup');
      selected_idx = get(h,'Value');
      data_option = get(h,'Userdata');
   end;

   switch (data_option)
      case {1}, 		% individual file
	 selected_files{1} = st_filename{selected_idx}.fullname;

      case {3},					% all data
         for i=1:length(st_filename),
            selected_files{i} = st_filename{i}.fullname;
         end;
   end; 

   return;					%  get selected filenames


%--------------------------------------------------------------------------
%
function  [grp_st_datamat,coords,win_size,evt_list] =  ...
                                   merge_st_datamat(selected_files),

   num_files = length(selected_files);

   %  compute the common coords first and the total number of events
   %  
   load(selected_files{1},'st_dims','st_win_size'); 
   total_num_evt = 0;
   m = zeros(st_dims);
   for i=1:num_files,
      load(selected_files{i},'st_coords','st_evt_list');
      total_num_evt = total_num_evt + length(st_evt_list); 
      m(st_coords) = m(st_coords) + 1; 
   end;
   coords = find(m == num_files); 


   %  ready to merge the st_datamat together now ...
   %
   win_size = st_win_size;
   num_voxels = length(coords);
   num_cols = win_size * num_voxels;
   grp_st_datamat = zeros(total_num_evt,num_cols);
   evt_list = [];
   first_row = 1;
   for i=1:num_files,

      load(selected_files{i});

      coord_idx = find(m(st_coords) == num_files);
      nr = length(st_evt_list);
      nc = length(st_coords);
      last_row = nr + first_row - 1;

      tmp_datamat = reshape(st_datamat,[nr,win_size,nc]); 
      tmp_datamat = reshape(tmp_datamat(:,:,coord_idx),[nr,num_cols]);

      grp_st_datamat(first_row:last_row,:) = tmp_datamat;
      evt_list = [evt_list st_evt_list];

      first_row = last_row + 1;

      clear st_datamat tmp_datamat;
   end; 

   return;                               	% merge_st_datamat


%--------------------------------------------------------------------------
%
function  plot_response_fn()

   axes_margin = [.37 .05 .15 .1];

   % set up axes, and the values of 'AxesMargin', 'AxesHlds' and 'AxesPos'
   %
   setappdata(gcf,'AxesMargin',axes_margin);
   set_cond_axes(1,1,axes_margin);     % set up axes

   %  extract the currect ploting data
   %
   cur_coord = getappdata(gcf,'Coord');
   if isempty(cur_coord)
       msg = 'ERROR: No point has been seleted to plot.';
       set(findobj(gcf,'Tag','MessageLine'),'String',msg);
       set(gca,'visible','off');
       return;
   end;

   %  find out the coord_idx
   %
   st_coords = getappdata(gcf,'STCoords');
   common_coords = getappdata(gcf,'common_coords');

   coord_idx = find(common_coords == cur_coord);
   if isempty(coord_idx)
       msg = 'ERROR: The selected point is outside the brain region.';
       set(findobj(gcf,'Tag','MessageLine'),'String',msg);
       set(gca,'visible','off');
       return;
   end;

   %  in blocked fmri, st_datamat only contain common_coords (because 
   %  the each group needs to be averaged). So, the following statement
   %  is commneted. Also see load_voxel_intensity to see how st_datamat
   %  get only common_coords. 13-Apr-2005
   %
%   coord_idx = find(st_coords == cur_coord);

   st_datamat = getappdata(gcf,'STDatamat'); 
   st_data = st_datamat;
   selected_condition = getappdata(gcf,'SelectedCondition');

   % generate the plots
   %
   cond_idx = find(selected_condition == 1);

   setappdata(gcf,'ST_data',st_data);
   setappdata(gcf,'PlotCondIdx',cond_idx);

   if isempty(getappdata(gcf,'CombinePlots'))
      setappdata(gcf,'CombinePlots',0);
   end;

   if isempty(getappdata(gcf,'ShowAverage'))
      setappdata(gcf,'ShowAverage',0);
   end;