diff --git a/code/introduction/introduction.ipynb b/code/introduction/introduction.ipynb
index 8a86527f..08163fa3 100644
--- a/code/introduction/introduction.ipynb
+++ b/code/introduction/introduction.ipynb
@@ -29,14 +29,14 @@
    "source": [
     "## Dataset\n",
     "\n",
-    "For the rest of this tutorial, we will make use of a subset of publicly available dataset, ds000030, from [openneuro.org](https://openneuro.org/datasets/ds000030) The dataset is structured according to the Brain Imaging Data Structure ([BIDS](https://bids-specification.readthedocs.io/en/etable/)). "
+    "For the rest of this tutorial, we will make use of a subset of publicly available dataset, ds000030, from [openneuro.org](https://openneuro.org/datasets/ds000030) The dataset is structured according to the Brain Imaging Data Structure ([BIDS](https://bids-specification.readthedocs.io/en/etable/))."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Below is a tree diagram showing the folder structure of a single MR session within ds000030. This was obtained by using the bash command `tree`.  \n",
+    "Below is a tree diagram showing the folder structure of a single MR session within ds000030. This was obtained by using the bash command `tree`.\n",
     "`!tree ../data/ds000030`\n",
     "\n",
     "```\n",
@@ -46,14 +46,14 @@
     "├── dataset_description.json\n",
     "├── README\n",
     "└── sub-10788/\n",
-    "    ├── anat\n",
-    "    │   ├── sub-10788_T1w.json\n",
-    "    │   └── sub-10788_T1w.nii.gz\n",
-    "    └── dwi\n",
-    "        ├── sub-10788_dwi.bval\n",
-    "        │── sub-10788_dwi.bvec\n",
-    "        │── sub-10788_dwi.json\n",
-    "        └── sub-10788_dwi.nii.gz\n",
+    "    ├── anat\n",
+    "    │   ├── sub-10788_T1w.json\n",
+    "    │   └── sub-10788_T1w.nii.gz\n",
+    "    └── dwi\n",
+    "        ├── sub-10788_dwi.bval\n",
+    "        │── sub-10788_dwi.bvec\n",
+    "        │── sub-10788_dwi.json\n",
+    "        └── sub-10788_dwi.nii.gz\n",
     "```"
    ]
   },
@@ -77,7 +77,7 @@
    "source": [
     "## Querying a BIDS Dataset\n",
     "\n",
-    "[`pybids`](https://bids-standard.github.io/pybids/) is a Python API for querying, summarizing and manipulating the BIDS folder structure. We will make use of `pybids` to query the necessary files. \n",
+    "[`pybids`](https://bids-standard.github.io/pybids/) is a Python API for querying, summarizing and manipulating the BIDS folder structure. We will make use of `pybids` to query the necessary files.\n",
     "\n",
     "Lets first pull the metadata from its associated JSON file using the `get_metadata()` function for the first run."
    ]
@@ -214,7 +214,7 @@
     "\n",
     "For this lesson, we will use the `Dipy` (Diffusion Imaging in Python) package for processing and analysing diffusion MRI.\n",
     "\n",
-    "### Why `dipy`? \n",
+    "### Why `dipy`?\n",
     "\n",
     "- Fully free and open source\n",
     "- Implemented in Python. Easy to understand, and easy to use.\n",
@@ -425,7 +425,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We will need this gradient table later on to process our data and generate diffusion tensor images (DTI)! \n",
+    "We will need this gradient table later on to process our data and generate diffusion tensor images (DTI)!\n",
     "\n",
     "There is also a built in function for gradient tables, `b0s_mask` that can be used to separate diffusion weighted measurements from non-diffusion weighted measurements (b=0s/mm^2). Try to extract the vector corresponding to diffusion weighted measurements in the following cell!"
    ]
@@ -644,4 +644,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}
\ No newline at end of file
diff --git a/code/introduction/solutions/introduction_solutions.ipynb b/code/introduction/solutions/introduction_solutions.ipynb
index 3a69cd2d..9b328020 100644
--- a/code/introduction/solutions/introduction_solutions.ipynb
+++ b/code/introduction/solutions/introduction_solutions.ipynb
@@ -31,7 +31,7 @@
    "source": [
     "## Dataset\n",
     "\n",
-    "For the rest of this tutorial, we will make use of a subset of publicly available dataset, ds000030, from [openneuro.org](https://openneuro.org/datasets/ds000030) The dataset is structured according to the Brain Imaging Data Structure ([BIDS](https://bids-specification.readthedocs.io/en/etable/)). "
+    "For the rest of this tutorial, we will make use of a subset of publicly available dataset, ds000030, from [openneuro.org](https://openneuro.org/datasets/ds000030) The dataset is structured according to the Brain Imaging Data Structure ([BIDS](https://bids-specification.readthedocs.io/en/etable/))."
    ]
   },
   {
@@ -53,8 +53,8 @@
     "├── sub-010001/\n",
     "└── sub-010002/\n",
     "    ├── ses-01/\n",
-    "    │    ├── anat\n",
-    "    │    │    ├── sub-010002_ses-01_acq-lowres_FLAIR.json\n",
+    "    │    ├── anat\n",
+    "    │    │    ├── sub-010002_ses-01_acq-lowres_FLAIR.json\n",
     "    │    │    ├── sub-010002_ses-01_acq-lowres_FLAIR.nii.gz\n",
     "    │    │    ├── sub-010002_ses-01_acq-mp2rage_defacemask.nii.gz\n",
     "    │    │    ├── sub-010002_ses-01_acq-mp2rage_T1map.nii.gz\n",
@@ -65,37 +65,37 @@
     "    │    │    ├── sub-010002_ses-01_inv-2_mp2rage.nii.gz\n",
     "    │    │    ├── sub-010002_ses-01_T2w.json\n",
     "    │    │    └── sub-010002_ses-01_T2w.nii.gz\n",
-    "    │    ├── dwi\n",
-    "    │    │    ├── sub-010002_ses-01_dwi.bval\n",
-    "    │    │    │── sub-010002_ses-01_dwi.bvec\n",
-    "    │    │    │── sub-010002_ses-01_dwi.json\n",
-    "    │    │    └── sub-010002_ses-01_dwi.nii.gz\n",
-    "    │    ├── fmap\n",
-    "    │    │    ├── sub-010002_ses-01_acq-GEfmap_run-01_magnitude1.json\n",
-    "    │    │    ├── sub-010002_ses-01_acq-GEfmap_run-01_magnitude1.nii.gz\n",
-    "    │    │    ├── sub-010002_ses-01_acq-GEfmap_run-01_magnitude2.json\n",
-    "    │    │    ├── sub-010002_ses-01_acq-GEfmap_run-01_magnitude2.nii.gz\n",
-    "    │    │    ├── sub-010002_ses-01_acq-GEfmap_run-01_phasediff.json\n",
-    "    │    │    ├── sub-010002_ses-01_acq-GEfmap_run-01_phasediff.nii.gz\n",
-    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-AP_epi.json\n",
-    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-AP_epi.nii.gz\n",
-    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-PA_epi.json\n",
-    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-PA_epi.nii.gz\n",
-    "    │    │    ├── sub-010002_ses-01_acq-sefmapBOLDpre_dir-AP_epi.json\n",
-    "    │    │    ├── sub-010002_ses-01_acq-sefmapBOLDpre_dir-AP_epi.nii.gz\n",
-    "    │    │    ├── sub-010002_ses-01_acq-sefmapBOLDpre_dir-PA_epi.json\n",
-    "    │    │    ├── sub-010002_ses-01_acq-sefmapBOLDpre_dir-PA_epi.nii.gz\n",
-    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-AP_epi.json\n",
-    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-AP_epi.nii.gz\n",
-    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-PA_epi.json\n",
-    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-PA_epi.nii.gz\n",
-    "    │    │    ├── sub-010002_ses-01_acq-SEfmapDWI_dir-AP_epi.json\n",
-    "    │    │    ├── sub-010002_ses-01_acq-SEfmapDWI_dir-AP_epi.nii.gz\n",
-    "    │    │    ├── sub-010002_ses-01_acq-SEfmapDWI_dir-PA_epi.json\n",
-    "    │    │    └── sub-010002_ses-01_acq-SEfmapDWI_dir-PA_epi.nii.gz\n",
+    "    │    ├── dwi\n",
+    "    │    │    ├── sub-010002_ses-01_dwi.bval\n",
+    "    │    │    │── sub-010002_ses-01_dwi.bvec\n",
+    "    │    │    │── sub-010002_ses-01_dwi.json\n",
+    "    │    │    └── sub-010002_ses-01_dwi.nii.gz\n",
+    "    │    ├── fmap\n",
+    "    │    │    ├── sub-010002_ses-01_acq-GEfmap_run-01_magnitude1.json\n",
+    "    │    │    ├── sub-010002_ses-01_acq-GEfmap_run-01_magnitude1.nii.gz\n",
+    "    │    │    ├── sub-010002_ses-01_acq-GEfmap_run-01_magnitude2.json\n",
+    "    │    │    ├── sub-010002_ses-01_acq-GEfmap_run-01_magnitude2.nii.gz\n",
+    "    │    │    ├── sub-010002_ses-01_acq-GEfmap_run-01_phasediff.json\n",
+    "    │    │    ├── sub-010002_ses-01_acq-GEfmap_run-01_phasediff.nii.gz\n",
+    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-AP_epi.json\n",
+    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-AP_epi.nii.gz\n",
+    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-PA_epi.json\n",
+    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-PA_epi.nii.gz\n",
+    "    │    │    ├── sub-010002_ses-01_acq-sefmapBOLDpre_dir-AP_epi.json\n",
+    "    │    │    ├── sub-010002_ses-01_acq-sefmapBOLDpre_dir-AP_epi.nii.gz\n",
+    "    │    │    ├── sub-010002_ses-01_acq-sefmapBOLDpre_dir-PA_epi.json\n",
+    "    │    │    ├── sub-010002_ses-01_acq-sefmapBOLDpre_dir-PA_epi.nii.gz\n",
+    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-AP_epi.json\n",
+    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-AP_epi.nii.gz\n",
+    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-PA_epi.json\n",
+    "    │    │    ├── sub-010002_ses-01_acq-SEfmapBOLDpost_dir-PA_epi.nii.gz\n",
+    "    │    │    ├── sub-010002_ses-01_acq-SEfmapDWI_dir-AP_epi.json\n",
+    "    │    │    ├── sub-010002_ses-01_acq-SEfmapDWI_dir-AP_epi.nii.gz\n",
+    "    │    │    ├── sub-010002_ses-01_acq-SEfmapDWI_dir-PA_epi.json\n",
+    "    │    │    └── sub-010002_ses-01_acq-SEfmapDWI_dir-PA_epi.nii.gz\n",
     "    │    └── fmap\n",
-    "    │    │    ├── sub-010002_ses-01_task-rest_acq-AP_run-01_bold.json\n",
-    "    │    │    └── sub-010002_ses-01_task-rest_acq-AP_run-01_bold.nii.gz\n",
+    "    │    │    ├── sub-010002_ses-01_task-rest_acq-AP_run-01_bold.json\n",
+    "    │    │    └── sub-010002_ses-01_task-rest_acq-AP_run-01_bold.nii.gz\n",
     "    └── ses-02/\n",
     "    ```"
    ]
@@ -106,7 +106,7 @@
    "source": [
     "## Querying a BIDS Dataset\n",
     "\n",
-    "[`pybids`](https://bids-standard.github.io/pybids/) is a Python API for querying, summarizing and manipulating the BIDS folder structure. We will make use of `pybids` to query the necessary files. \n",
+    "[`pybids`](https://bids-standard.github.io/pybids/) is a Python API for querying, summarizing and manipulating the BIDS folder structure. We will make use of `pybids` to query the necessary files.\n",
     "\n",
     "Lets first pull the metadata from its associated JSON file using the `get_metadata()` function for the first run."
    ]
@@ -154,7 +154,7 @@
     "\n",
     "For this lesson, we will use the `Dipy` (Diffusion Imaging in Python) package for processing and analysing diffusion MRI.\n",
     "\n",
-    "### Why `dipy`? \n",
+    "### Why `dipy`?\n",
     "\n",
     "- Fully free and open source\n",
     "- Implemented in Python. Easy to understand, and easy to use.\n",
@@ -238,7 +238,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We will need this gradient table later on to process our data and generate diffusion tensor images (DTI)! \n",
+    "We will need this gradient table later on to process our data and generate diffusion tensor images (DTI)!\n",
     "\n",
     "There is also a built in function for gradient tables, `b0s_mask` that can be used to separate difussion weighted measurements from non-diffusion weighted measurements (b=0s/mm^2). Try to extract the vector corresponding to diffusion weighted measurements in the following cell!"
    ]