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Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network.
Ngo, Gia H; Khosla, Meenakshi; Jamison, Keith; Kuceyeski, Amy; Sabuncu, Mert R.
Affiliation
  • Ngo GH; School of Electrical & Computer Engineering, Cornell University and Cornell Tech, United States.
  • Khosla M; School of Electrical & Computer Engineering, Cornell University and Cornell Tech, United States.
  • Jamison K; Radiology, Weill Cornell Medicine, United States.
  • Kuceyeski A; Radiology, Weill Cornell Medicine, United States.
  • Sabuncu MR; School of Electrical & Computer Engineering, Cornell University and Cornell Tech, United States; Radiology, Weill Cornell Medicine, United States. Electronic address: msabuncu@cornell.edu.
Neuroimage ; 248: 118849, 2022 03.
Article in En | MEDLINE | ID: mdl-34965456
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Mapping / Magnetic Resonance Imaging / Neural Networks, Computer / Emotions / Connectome Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Type: Article Affiliation country: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Mapping / Magnetic Resonance Imaging / Neural Networks, Computer / Emotions / Connectome Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Type: Article Affiliation country: United States