11/12

🧠 Bottom line:
Precision RSFC is feasible, reliable, and clinically promising in Parkinson’s disease.

This approach could explain the huge variation we see across individuals—and help us treat each person more effectively.

9/12

🗺️ Finding 4: Individual Network Maps
Using seed-based + data-driven techniques (Infomap), we mapped networks in two individuals with PD.

Despite the same diagnosis, locations in primary motor cortex can have very different connectivity
→ One showed SCAN; one showed somatomotor-face network.

8/12

🧮 Finding 3: Stability & Distinction
We tested whether RSFC patterns hold up across days.

With 25 mins/session:
🧠 Within-subject similarity: r = 0.70
🧠 Across-subject similarity: r = 0.32

PD participants showed stable, person-specific network profiles.

7/12

📈 Finding 2: Reliability
With conventional 5 mins of data, reliability was modest (r = 0.49 in subcortex).
With 40 mins?
🧠 Cortical: r ≈ 0.90
🧠 Subcortical: r ≈ 0.81
🧠 Cerebellar: r ≈ 0.87

That's a massive boost—critical for clinical applications!

6/12

📊 Finding 1: Feasibility
Even with stringent motion thresholds (fFD < 0.1 mm), PD participants provided comparable data to controls.
✅ 91.5% of data retained
✅ Motion manageable despite PD symptoms

4/12

That’s where precision RSFC comes in:
✅ 100+ mins of data
✅ Advanced motion correction
✅ Individualized network mapping

It’s been used in healthy people— but can it work in individuals with PD with tremor, fatigue, or increased head motion? 🤔

Excited to share my first preprint investigating the feasibility and reliability of using precision RSFC in people with Parkinson’s disease! 🧠👇
📄: go.illinois.edu/PDfeasibility

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