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Using network control theory to study the dynamics of the structural connectome.
Parkes, Linden; Kim, Jason Z; Stiso, Jennifer; Brynildsen, Julia K; Cieslak, Matthew; Covitz, Sydney; Gur, Raquel E; Gur, Ruben C; Pasqualetti, Fabio; Shinohara, Russell T; Zhou, Dale; Satterthwaite, Theodore D; Bassett, Dani S.
Affiliation
  • Parkes L; Department of Bioengineering, University of Pennsylvania, PA 19104, USA.
  • Kim JZ; Lifespan Informatics and Neuroimaging Center (PennLINC), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Stiso J; Department of Psychiatry, Rutgers University, Piscataway, NJ 08854, USA.
  • Brynildsen JK; Department of Physics, Cornell University, Ithaca, NY 14853, USA.
  • Cieslak M; Department of Bioengineering, University of Pennsylvania, PA 19104, USA.
  • Covitz S; Department of Bioengineering, University of Pennsylvania, PA 19104, USA.
  • Gur RE; Lifespan Informatics and Neuroimaging Center (PennLINC), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Gur RC; Penn/CHOP Lifespan Brain Institute, Perelman School of Medicine, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA 19104, USA.
  • Pasqualetti F; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Shinohara RT; Lifespan Informatics and Neuroimaging Center (PennLINC), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Zhou D; Penn/CHOP Lifespan Brain Institute, Perelman School of Medicine, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA 19104, USA.
  • Satterthwaite TD; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Bassett DS; Penn/CHOP Lifespan Brain Institute, Perelman School of Medicine, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA 19104, USA.
bioRxiv ; 2023 Aug 24.
Article in En | MEDLINE | ID: mdl-37662395
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: BioRxiv Year: 2023 Document type: Article Affiliation country: United States
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: BioRxiv Year: 2023 Document type: Article Affiliation country: United States