Data-driven multivariate identification of gyrification patterns in a transdiagnostic patient cohort: A cluster analysis approach

Data-driven multivariate identification of gyrification patterns in a transdiagnostic patient cohort: A cluster analysis approach

Background: Multivariate data-driven statistical approaches offer the opportunity to study multi-dimensional interdependences between a large set of biological parameters, such as high-dimensional brain imaging data. For gyrification, a putative marker of early neurodevelopment, direct comparisons o...

Whakaahuatanga katoa

I tiakina i:
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Ngā kaituhi matua: Pfarr, Julia-Katharina, Meller, Tina, Brosch, Katharina, Stein, Frederike, Thomas-Odenthal, Florian, Evermann, Ulrika, Wroblewski, Adrian, Ringwald, Kai G., Hahn, Tim, Meinert, Susanne, Winter, Alexandra, Thiel, Katharina, Flinkenflügel, Kira, Jansen, Andreas, Krug, Axel, Dannlowski, Udo, Kircher, Tilo, Gaser, Christian, Nenadi´c, Igor
Hōputu: Tuhinga
Reo:Ingarihi
I whakaputaina: Philipps-Universität Marburg 2023
Ngā marau:
Cluster analysis, Gyrification, Data-driven approach, Multivariate statistics, Transdiagnostic
Medizin
Medical sciences Medicine
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