A coarse-to-fine machine-learning framework for identifying functional connectivity markers of cognitive impairment in Parkinson's disease.

Saved in:
Bibliographic Details
Title: A coarse-to-fine machine-learning framework for identifying functional connectivity markers of cognitive impairment in Parkinson's disease.
Authors: Chien CY; Department of Neurology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, 138 Sheng Li Road, Tainan, 704, Taiwan.; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan., Lee TL; Department of Neurology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, 138 Sheng Li Road, Tainan, 704, Taiwan.; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan., Lin TY; Department of Neurology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, 138 Sheng Li Road, Tainan, 704, Taiwan., Yu RL; Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Lin CK; Department of Neurology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, 138 Sheng Li Road, Tainan, 704, Taiwan. cxl45@mail.ncku.edu.tw.; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan. cxl45@mail.ncku.edu.tw.; Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan. cxl45@mail.ncku.edu.tw.
Source: Medical & biological engineering & computing [Med Biol Eng Comput] 2026 Jul 11. Date of Electronic Publication: 2026 Jul 11.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42435273
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A coarse-to-fine machine-learning framework for identifying functional connectivity markers of cognitive impairment in Parkinson's disease.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Chien+CY%22">Chien CY</searchLink>; Department of Neurology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, 138 Sheng Li Road, Tainan, 704, Taiwan.; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lee+TL%22">Lee TL</searchLink>; Department of Neurology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, 138 Sheng Li Road, Tainan, 704, Taiwan.; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+TY%22">Lin TY</searchLink>; Department of Neurology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, 138 Sheng Li Road, Tainan, 704, Taiwan.<br /><searchLink fieldCode="AU" term="%22Yu+RL%22">Yu RL</searchLink>; Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+CK%22">Lin CK</searchLink>; Department of Neurology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, 138 Sheng Li Road, Tainan, 704, Taiwan. cxl45@mail.ncku.edu.tw.; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan. cxl45@mail.ncku.edu.tw.; Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan. cxl45@mail.ncku.edu.tw.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%227704869%22">Medical & biological engineering & computing</searchLink> [Med Biol Eng Comput] 2026 Jul 11. <i>Date of Electronic Publication: </i>2026 Jul 11.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7704869 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1741-0444 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201400118%22">01400118 </searchLink><i>NLM ISO Abbreviation: </i>Med Biol Eng Comput <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42435273
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11517-026-03619-8
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: A coarse-to-fine machine-learning framework for identifying functional connectivity markers of cognitive impairment in Parkinson's disease.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Chien CY
      – PersonEntity:
          Name:
            NameFull: Lee TL
      – PersonEntity:
          Name:
            NameFull: Lin TY
      – PersonEntity:
          Name:
            NameFull: Yu RL
      – PersonEntity:
          Name:
            NameFull: Lin CK
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 11
              M: 07
              Text: 2026 Jul 11
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1741-0444
          Titles:
            – TitleFull: Medical & biological engineering & computing
              Type: main
ResultId 1