# ROIs are defined with two variables : 1) a volume which contains integers
# and 2) a vector of labels which link every integer inside the volume with a
# label (for example, with the brodmann atlas, the index 4 refers to the label
# brodmann 4). Here, we illustrate how to find the index of a region of
# interest
#####################################
# **Method 1 :** export all ROI labels and indices in an excel file
#
# This first method load a ROI atlas then, we use the
# :class:`visbrain.objects.RoiObj.get_labels` method to save every related ROI
# informations in an excel file. This first method implies that you manually
# inspect in this file the index of the ROI that you're looking for.
roi_to_find1 = RoiObj('brodmann') # Use Brodmann areas
ref_brod = roi_to_find1.get_labels(vb_path) # Save Brodmann
roi_to_find1('aal') # Switch to AAL
ref_aal = roi_to_find1.get_labels(vb_path) # Save AAL
roi_to_find1('talairach') # Switch to Talairach
# ref_tal = roi_to_find1.get_labels(vb_path) # Save Talairach
#####################################
# **Method 2 :** explicitly search where is the ROI that you're looking for
#
# Here, we use the :class:`visbrain.objects.RoiObj.where_is` method of the ROI
# object to explicitly search string patterns
# Method 2 : use the `where_is` method
roi_to_find1('brodmann') # Switch to Brodmann
idx_ba6 = roi_to_find1.where_is('BA6') # Find only BA6
print(ref_brod.loc[idx_ba6])
# ROIs are defined with two variables : 1) a volume which contains integers
# and 2) a vector of labels which link every integer inside the volume with a
# label (for example, with the brodmann atlas, the index 4 refers to the label
# brodmann 4). Here, we illustrate how to find the index of a region of
# interest
#####################################
# **Method 1 :** export all ROI labels and indices in an excel file
#
# This first method load a ROI atlas then, we use the
# :class:`visbrain.objects.RoiObj.get_labels` method to save every related ROI
# informations in an excel file. This first method implies that you manually
# inspect in this file the index of the ROI that you're looking for.
roi_to_find1 = RoiObj('brodmann') # Use Brodmann areas
ref_brod = roi_to_find1.get_labels(vb_path) # Save Brodmann
roi_to_find1('aal') # Switch to AAL
ref_aal = roi_to_find1.get_labels(vb_path) # Save AAL
roi_to_find1('talairach') # Switch to Talairach
# ref_tal = roi_to_find1.get_labels(vb_path) # Save Talairach
#####################################
# **Method 2 :** explicitly search where is the ROI that you're looking for
#
# Here, we use the :class:`visbrain.objects.RoiObj.where_is` method of the ROI
# object to explicitly search string patterns
# Method 2 : use the `where_is` method
roi_to_find1('brodmann') # Switch to Brodmann
idx_ba6 = roi_to_find1.where_is('BA6') # Find only BA6
print(ref_brod.loc[idx_ba6])
)
CBAR_STATE = dict(cbtxtsz=12,
txtsz=10.,
width=.1,
cbtxtsh=3.,
rect=(-.3, -2., 1., 4.))
sc = SceneObj(camera_state=CAM_STATE, bgcolor=(.1, .1, .1), size=(1400, 1000))
# =============================================================================
# FIND INDEX OF AN ROI
# =============================================================================
"""Here, we illustrate how to find the integer index of the ROI to plot
"""
# Method 1 : save all ROI in an excel file and search manually the ROI
roi_to_find1 = RoiObj('brodmann') # Use Brodmann areas
ref_brod = roi_to_find1.get_labels(vb_path) # Save Brodmann
roi_to_find1('aal') # Switch to AAL
ref_aal = roi_to_find1.get_labels(vb_path) # Save AAL
roi_to_find1('talairach') # Switch to Talairach
ref_tal = roi_to_find1.get_labels(vb_path) # Save Talairach
# Method 2 : use the `where_is` method
roi_to_find1('brodmann') # Switch to Brodmann
idx_ba6 = roi_to_find1.where_is('BA6') # Find only BA6
print(ref_brod.loc[idx_ba6])
roi_to_find1('aal') # Switch to AAL
idx_sma = roi_to_find1.where_is(['Supp Motor Area', '(L)'], union=False)
# =============================================================================
# BRAIN + BA6
# =============================================================================