Structural covariance network alterations across the spectrum of cognitive status in Parkinson's disease
Haruto Shibata, Yuto Uchida, Keita Sakurai, Ken Tanaka, Yuya Kano, Noriyuki Matsukawa · 2026
Read Structural covariance network alterations across the spectrum of cognitive status in Parkinson's disease by Haruto Shibata, Yuto Uchida, Keita Sakurai, Ken Tanaka, Yuya Kano, Noriyuki Matsukawa (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13251637.txt.
Description
Haruto Shibata and colleagues examine how brain network organization changes with thinking problems in Parkinson's disease, reporting in 2026. Rather than measuring single regions, they built structural covariance networks, which capture how cortical thickness rises and falls together across the brain. The study compared healthy volunteers with patients whose cognition was normal and patients with mild cognitive impairment.
The groups held sixteen, twenty, and twenty-two people respectively, all scanned retrospectively at the team's center. As cognition worsened across the three groups, brain modules grew progressively more separated and self-contained. Global efficiency, the ease of information flow across the whole network, dropped only in the mild impairment group. Local hub measures shifted widely across many regions. The authors suggest that stage-by-stage network mapping could help chart cognitive decline in Parkinson's beyond what single-region measures show.
Catalog record
| CREATOR | Haruto Shibata, Yuto Uchida, Keita Sakurai, Ken Tanaka, Yuya Kano, Noriyuki Matsukawa |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 40 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |