English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  K-operator as a predictor for Alzheimer-Perusini’s disease

Mannone, M., Marwan, N., Fazio, P., Ribino, P. (2025): K-operator as a predictor for Alzheimer-Perusini’s disease. - Procedia Computer Science, 256, 731-738.
https://doi.org/10.1016/j.procs.2025.02.173

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_33278 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_33278_1
Genre: Journal Article

Files

show Files
hide Files
:
Mannone_2025_1-s2.0-S1877050925005307-main.pdf (Publisher version), 2MB
View   Save
File Permalink:
https://publications.pik-potsdam.de/pubman/item/item_33278_1/component/file_33279/Mannone_2025_1-s2.0-S1877050925005307-main.pdf
Name:
Mannone_2025_1-s2.0-S1877050925005307-main.pdf
Description:
-
OA-Status:
Gold
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
http://creativecommons.org/licenses/by-nc/4.0/

Locators

show

Creators

show
hide
 Creators:
Mannone, Maria1, Author
Marwan, Norbert2, Author                 
Fazio, Peppino1, Author
Ribino, Patrizia1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Content

show
hide
Free keywords: -
 Abstract: Progressive memory loss occurring in age-related neurological diseases contributes to the disgregation of the individual, with serious personal and social consequences. We model the brain network damage provoked by a neurological disease through a physics-inspired mathematical operator, K. Acting on a diseased brain, K provides the disease time evolution. Focusing on Alzheimer-Perusini’s disease (AD), we approximate the K-operator considering selected patients of the ADNI 2 dataset. We also propose K as a predictor for the disease progress over time and give its preliminary evaluation in the AD progression from the cognitive normal (CN) stage to AD through intermediate mild cognitive impairment (MCI) stages.

Details

show
hide
Language(s): eng - English
 Dates: 2025-03-112025-03-11
 Publication Status: Finally published
 Pages: 8
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.procs.2025.02.173
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Working Group: Development of advanced time series analysis techniques
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Health
Research topic keyword: Complex Networks
Model / method: Nonlinear Data Analysis
Model / method: Quantitative Methods
OATYPE: Gold Open Access
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Procedia Computer Science
Source Genre: Journal, Scopus, oa
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 256 Sequence Number: - Start / End Page: 731 - 738 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1701261
Publisher: Elsevier