ABSTRACT NUMBER: ESOC2026A2206 IMMEDIATE EEG CHANGES FOLLOWING RECANALIZATION IN MECHANICAL THROMBECTOMY: POWER RATIO AND MACHINE LEARNING ANALYSIS
Jan Pyrzowski, Marion Quirins, Sinead Zeidan, Nabila Mouder, Anais Tahon, Candice Sabben, Igor Raynouard, Michel Piotin, Gilles Huberfeld, Michael Obadia · 2026
Read ABSTRACT NUMBER: ESOC2026A2206 IMMEDIATE EEG CHANGES FOLLOWING RECANALIZATION IN MECHANICAL THROMBECTOMY: POWER RATIO AND MACHINE LEARNING ANALYSIS by Jan Pyrzowski, Marion Quirins, Sinead Zeidan, Nabila Mouder, Anais Tahon, Candice Sabben, Igor Raynouard, Michel Piotin, Gilles Huberfeld, Michael Obadia (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-13145782.txt.
Description
When a blocked brain artery is reopened, brain waves should calm, but no one had watched them live during the procedure. Jan Pyrzowski and co-authors monitored twenty stroke patients in 2026 with continuous scalp recordings during clot removal. They tracked standard ratios of slow to fast brain waves and trained a small learning model to spot the moment flow returned.
Responses varied widely: in seven patients, slow activity oddly rose right after reopening, and no clinical trait predicted that twist. The classic ratios failed to detect reopening, scoring near chance. The learning model did far better and ran fast enough for bedside use. The authors say such tools could help when confirmatory scans are not at hand.
Catalog record
| CREATOR | Jan Pyrzowski, Marion Quirins, Sinead Zeidan, Nabila Mouder, Anais Tahon, Candice Sabben, Igor Raynouard, Michel Piotin, Gilles Huberfeld, Michael Obadia |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |