Cosmetic changes

layerfMRI · Mar 5, 2025 · 0413469 · 0413469
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Showing 2 changed files with 19 additions and 20 deletions.
diff --git a/src/LN2_SENSITIVITY.cpp b/src/LN2_SENSITIVITY.cpp
@@ -4,8 +4,8 @@
 int show_help(void) {
     printf(
     "LN2_SENSITIVITY: Compute a voxel-wise measure of functional sensitivity\n"
-    "                 from a 4D matrix containing fMRI responses to N tasks\n"
-    "                 (e.g., betas, percent signal change, t-statistics).\n"
+    "                 from a 4D nifti containing fMRI responses to multiple\n"
+    "                 (at least 2) tasks (e.g. betas, percent signal changes...).\n"
     "                 This method provides a measure of how strongly a voxel responds\n" 
     "                 to different tasks (overall responsiveness of a voxel).\n"
     "\n"
@@ -15,16 +15,16 @@ int show_help(void) {
     "\n"
     "Options:\n"
     "    -help   : Show this help.\n"
-    "    -input  : 4D matrix of dimensions (X, Y, Z, N) where\n"
-    "             (X, Y, Z) are the spatial dimensions of the brain volume\n"  
-    "             and N is the number of task conditions (e.g. fMRI task responses)\n"
+    "    -input  : 4D matrix of dimensions (X, Y, Z, N) where (X, Y, Z) are\n"
+    "              the spatial dimensions of the brain volume and N is the number\n"
+    "              of task conditions (e.g. fMRI task responses)\n"
     "    -output : (Optional) Output basename for all outputs.\n"
     "\n"
     "Citation:\n"
     "    - Pizzuti, A., Huber, L., Gulban, O.F, Benitez-Andonegui A., Peters, J., Goebel R.,\n"
-    "      (2023). Imaging the columnar functional organization of\n"
-    "      human area MT+ to axis-of-motion stimuli using VASO at 7 Tesla.\n"
-    "      Cerebral Cortex. <https://doi.org/10.1093/cercor/bhad151>\n"
+    "      (2023). Imaging the columnar functional organization of human area MT+ to \n"
+    "      axis-of-motion stimuli using VASO at 7 Tesla. Cerebral Cortex.\n"
+    "      <https://doi.org/10.1093/cercor/bhad151>\n"
     "\n"
     "NOTES: \n" 
     "    Sensitivity is based on the magnitude (ln2norm) of a voxel's response profile.\n"

diff --git a/src/LN2_SPECIFICITY.cpp b/src/LN2_SPECIFICITY.cpp
@@ -6,12 +6,11 @@
 int show_help(void) {
     printf(
     "LN2_SPECIFICITY: Compute a voxel-wise measure of functional specificity\n"
-    "                 from a 4D matrix containing fMRI responses to N tasks\n"
-    "                 (e.g., betas, percent signal change, t-statistics)\n"
-    "                 This method complements the 'Winner Takes All' approach\n" 
+    "                 from a 4D nifti containing fMRI responses to multiple\n"
+    "                 (at least 2) tasks (e.g. betas, percent signal changes...).\n"
+    "                 This method complements the 'winner takes all' approach\n" 
     "                 providing a measure of how specific is voxel's response\n"  
-    "                 to the winning condition. \n"
-    "                 Specificity is normalized between 0-1.\n"
+    "                 to the winning condition. Specificity is normalized between 0-1.\n"
     "\n"
     "Usage:\n"
     "    LN2_SPECIFICITY -input input.nii\n"
@@ -20,20 +19,20 @@ int show_help(void) {
     "Options:\n"
     "    -help   : Show this help.\n"
     "    -input  : 4D matrix of dimensions (X, Y, Z, N) where\n"
-    "             (X, Y, Z) are the spatial dimensions of the brain volume\n"  
-    "             and N is the number of task conditions (e.g. fMRI task responses)\n"
+    "              (X, Y, Z) are the spatial dimensions of the brain volume\n"  
+    "              and N is the number of task conditions (e.g. fMRI task responses)\n"
     "    -output : (Optional) Output basename for all outputs.\n"
     "\n"
     "Citation:\n"
     "    - Pizzuti, A., Huber, L., Gulban, O.F, Benitez-Andonegui A., Peters, J., Goebel R.,\n"
-    "      (2023). Imaging the columnar functional organization of\n"
-    "      human area MT+ to axis-of-motion stimuli using VASO at 7 Tesla.\n"
-    "      Cerebral Cortex. <https://doi.org/10.1093/cercor/bhad151>\n"
+    "      (2023). Imaging the columnar functional organization of human area MT+ to \n"
+    "      axis-of-motion stimuli using VASO at 7 Tesla. Cerebral Cortex.\n"
+    "      <https://doi.org/10.1093/cercor/bhad151>\n"
     "\n"
     "NOTES: \n" 
     "    Specificity is based on the cosine similarity between the vector with the voxel's\n"  
-    "    response profile and a reference vector representing a maximally specific response pattern.\n"
-    "    By default, negative values are zeroed before computation.\n"
+    "    response profile and a reference vector representing a maximally specific response\n"
+    "    pattern. By default, negative values are zeroed before computation.\n"
     "\n");
     return 0;
 }