added introductory paragraph to workshop 1

README.md

@@ -52,7 +52,7 @@ The MRICN course during Spring Term 2024-25 will have the following dates (subje
 | Week 8 | TBD | [First-level fMRI analysis](https://chbh-opensource.github.io/mri-on-bear-edu/workshop5/workshop5-intro/) |
 | Week 9 | TBD | No workshop (Reading Week) |
 | Week 10 | TBD | [Bash scripting, submitting jobs, and containers](https://chbh-opensource.github.io/mri-on-bear-edu/workshop6/workshop6-intro/) |
-| Week 11 | TBD | [Higher-level fMRI analysis](https://chbh-opensource.github.io/mri-on-bear-edu/workshop7/scripting-fsl/) |
+| Week 11 | TBD | [Higher-level fMRI analysis](https://chbh-opensource.github.io/mri-on-bear-edu/workshop7/workshop7-intro/) |
 | Week 12 | TBD | [Functional connectivity](https://chbh-opensource.github.io/mri-on-bear-edu/workshop8/functional-connectivity/) (optional) |
 
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docs/workshop1/workshop1-intro.md

@@ -2,6 +2,9 @@
 
 Welcome to the first workshop of the MRICN course!
 
+In this workshop we will introduce you to the environment where will run all of our analyses: the BlueBEAR Portal. Whilst you can run neuroimaging analyses on your own device, the various software and high computing resources needed necessitates a specifically-curated environment. At the CHBH we use BlueBEAR, which satisfies both of these needs. You will also be introduced to the Linux operating system (OS), which is the OS supported on the BlueBEAR Portal through Ubuntu. 
+Linux OS is similar to other operating systems such as Mac OS and Windows, and can similarly be navigated by using terminal commands. Learning how to do so is key when working with data on Linux, and - as you will see in future workshops - is particularly useful when creating and running scripts for more complex data analyses.
+
 !!! success "Overview of Workshop 1"
     Topics for this workshop include:
 

docs/workshop8/functional-connectivity.md

@@ -463,17 +463,4 @@ If you type **[46, -70, 32]** as co-ordinates in Neurosynth, and then into the M
    </div>
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-This is a great result given that we only have three subjects!
-
-!!! success "Learning outcomes of this workshop"
-    In this workshop, you have:
-
-    - Created a seed region in the posterior cingulate cortex (PCC) using FSL's standard brain and atlases
-    - Extracted mean time-series data from the PCC for three subjects
-    - Run a single-subject functional connectivity analysis manually using FEAT
-    - Learned to automate analyses by scripting FEAT for multiple subjects using bash
-    - Conducted a group-level analysis to identify regions showing functional connectivity with the PCC
-    - Used two different methods to identify active brain regions:
-        - FSL's Harvard-Oxford atlas for anatomical localization
-        - Neurosynth for validating findings against meta-analytic data
-    - Successfully identified functional connectivity between the PCC and lateral occipital cortex, replicating known patterns of functional connectivity
+This is a great result given that we only have three subjects!