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Threshold Selection for Brain Connectomes

Published:2023-09-01 Issue:7 Volume:13 Page:383-393
ISSN:2158-0014
Container-title:Brain Connectivity
language:en
Short-container-title:Brain Connectivity

Author:

Theis Nicholas¹,Rubin Jonathan²,Cape Joshua³⁴,Iyengar Satish⁴,Prasad Konasale M.¹⁵⁶^ORCID

Affiliation:

1. Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.

2. Department of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

3. Department of Statistics, University of Wisconsin–Madison, Madison, Wisconsin, USA.

4. Department of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

5. VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA.

6. Department of Bioengineering, University of Pittsburgh Swanson School of Engineering, Pittsburgh, Pennsylvania, USA.

Publisher

Mary Ann Liebert Inc

Subject

General Neuroscience

Link

https://www.liebertpub.com/doi/pdf/10.1089/brain.2022.0082

Reference28 articles.

1. The discovery of population differences in network community structure: New methods and applications to brain functional networks in schizophrenia

2. Hierarchical Organization of Human Cortical Networks in Health and Schizophrenia

3. Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging

4. Graph Analysis and Modularity of Brain Functional Connectivity Networks: Searching for the Optimal Threshold

5. Buitrago PA, Nicholas NA. Neocortex and Bridges-2: A High Performance AI+HPC Ecosystem for Science, Discovery, and Societal Good. In: High Performance Computing (Nesmachnow S, Castro H, Tchernykh A. eds.) Springer International Publishing: Cham; 2021; pp. 205–219.

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