upload a page for my project (#379)

* upload a page for my project

* Update content/en/project/ADHD_frontoparietal_network/.ipynb_checkpoints/index-checkpoint.md

Co-authored-by: Lune Bellec <[email protected]>

* Update content/en/project/ADHD_frontoparietal_network/.ipynb_checkpoints/index-checkpoint.md

Co-authored-by: Lune Bellec <[email protected]>

* Delete content/en/project/ADHD_frontoparietal_network/.ipynb_checkpoints/index-checkpoint.md

* Update content/en/project/ADHD_frontoparietal_network/index.md

Co-authored-by: Lune Bellec <[email protected]>

* Update index.md

* Update content/en/project/ADHD_frontoparietal_network/index.md

* Update content/en/project/ADHD_frontoparietal_network/index.md

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Co-authored-by: Lune Bellec <[email protected]>

Author: nauxgnid

content/en/project/ADHD_frontoparietal_network/index.md

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+---
+type: "project" # DON'T TOUCH THIS ! :)
+date: "2025-06-15" # Date you first upload your project.
+# Title of your project (we like creative title)
+title: "Analysing Variability in Frontoparietal Activity in Children with and without ADHD"
+
+# Name of the collaborator
+names: [Hu Ding Xuan]
+
+# Your project GitHub repository URL
+github_repo: https://github.com/nauxgnid/hu_project
+
+# If you are working on a project that has website, indicate the full url including "https://" below or leave it empty.
+website:
+
+image: "sub-8150_run-02_rdlpfc_seed_map.png"
+
+# List +- 4 keywords that best describe your project within []. Note that the project summary also involves a number of key words. Those are listed on top of the [github repository](https://github.com/PSY6983-2021/project_template), click `manage topics`.
+# Please only lowercase letters
+tags: [adhd, fmri, connectivity, differences]
+
+# Summarize your project in < ~75 words. This description will appear at the top of your page and on the list page with other projects..
+
+summary: "This study examines dorsolateral prefrontal cortex (dlPFC) and posterior parietal cortex (PPC) connectivity and dlPFC BOLD time series in ADHD versus typically developing (TD) children during the cued stop-signal task (CSST) using fMRI data from OpenNeuro ds005899. It is hypothesised that stronger dlPFC-PPC connectivity will be found in the ADHD group."
+
+image: "rdlpfc_timeseries_run-01.png"
+---
+<!-- This is an html comment and this won't appear in the rendered page. You are now editing the "content" area, the core of your description. Everything that you can do in markdown is allowed below. We added a couple of comments to guide your through documenting your progress. -->
+
+## Project definition
+
+### Background
+
+Childhood ADHD is one of the most prevalent neurodevelopmental disorders worldwide. Hallmarks of ADHD include hyperactivity, impulsivity and deficits in sustaining attention and behavioural control. However, its diagnostic heterogeneity makes it difficult to pinpoint its neural basis. Thus, capturing moment-to-moment brain fluctuations through fMRI has the potential to shed light on the neurobiological basis of the variability and inconsistency of ADHD symptoms. For my project, the analysis of the frontoparietal network will be focused on the dorsolateral prefrontal cortex and right posterior parietal cortex. The dlPFC is important for implementing control strategies, while the right PPC is found to be associated with more severe inattention symptoms. Understanding connectivity differences in these regions can reveal neural mechanisms driving ADHD symptoms during inhibitory tasks.
+
+### Tools
+
+The project relied on the following technologies:
+ * Jupyter Notebook
+ * `datalad` for downloading datasets
+ * `fmriprep` for preprocessing
+ * `nilearn` for ROI masking, BOLD signal extraction, Pearson correlations, brain connectivity maps
+ * `matplotlib` & `seaborn` for plotting and visualiation
+ * `scipy` for Welch’s t-tests
+
+### Data
+* Dataset: [OpenNeuro ds005899](https://openneuro.org/datasets/ds005899/versions/1.0.2)
+* Used only sub-7565 and sub-8150 for single-subject comparison analysis due to time constraints
+* CSST, 2 runs per subject (TR=0.49s)
+
+### Deliverables
+* Jupyter notebook
+* GitHub repository with a READme, directories
+* Processed fMRI data
+* Figures: time series plots, heatmaps, brainmaps
+
+## Results
+
+### Progress overview
+* Extracted time-series from 2 ROIs (dlPFC & PPC) using `NiftiSpheresMasker` in `nilearn`
+* Computed 2x2 Pearson correlation matrix for right dlPFC and right PPC
+* T-tests to examine group connectivity differences using `scipy`
+* Generated whole-brain connectivity maps seeded from the right dlPFC
+
+### Tools I learned during this project
+
+ * `fmriprep` for preprocessing fMRI data
+ * Correlation matrix construction
+ * `nilearn` to visualise and analyse data
+
+### Results
+
+#### Deliverable 1: Time Series Plots
+The right dlPFC time series analysis revealed no significant group differences.
+
+#### Deliverable 2: Pearson Correlation Matrix
+Results indicated a stronger correlation in ADHD subject 7565 of 0.69 compared to typically developing subject 8150 of 0.2.
+
+#### Deliverable 3: Seed-based Connectivity Maps
+Results in subject 7565 showed a strong positive correlation of 0.73 with the right PPC and negative correlations down to -0.73 in the left hemisphere. This may suggest enhanced frontoparietal activity and suppressed default mode activity.
+
+## Challenges and Limitations
+* Long fMRI preprocessing time
+* Lack of significant results likely stems from reduced statistical power (n=2)
+* Beginner level proficiency in tools, struggled resolving coding errors
+
+### Future Directions
+As my project now is mostly exploratory, moving forward, analysing the remaining subjects could further deepen insights into the ADHD neural mechanisms.
+
+