Onerva Korhonen

Visitor
Visitor
T313 Dept. Computer Science

Post-doctoral researcher at Department of Computer Science.

My research concentrates on the functional networks of the human brain at multiple spatial and temporal scales. I work to develop and implement tools for modelling the brain as a temporal network on a flexible and naturalistic way, paying special attention on the accurate definition of network nodes and links. I am interested in multilayer network presentations of the brain, disruptive effects of neurological diseases on the network structure of the brain, the functional role of brain areas’ changing functional homogeneity, and connections between brain’s structure and function.

Further, I am interested to apply network methods to understand urban climate governance and actions.

Full researcher profile
https://research.aalto.fi/...

Yhteystiedot

Sähköposti
[email protected]

Osaamisalueet

Network neuroscience, Human connectome, Brain networks, FMRI preprocessing, Urban climate governance, Climate actions

Tutkimusryhmät

  • Professorship Saramäki J., Visitor (Faculty)
  • Professorship Saramäki J., Visitor (Faculty)

Julkaisut

Principles and open questions in functional brain network reconstruction

Onerva Korhonen, Massimiliano Zanin, David Papo 2021 Human Brain Mapping

Effects of spatial smoothing on group-level differences in functional brain networks

Ana María Triana, Enrico Glerean, Jari Saramäki, Onerva Korhonen 2020 Network Neuroscience

Regions of Interest as nodes of dynamic functional brain networks

Elisa Ryyppö, Enrico Glerean, Elvira Brattico, Jari Saramäki, Onerva Korhonen 2018 Network Neuroscience

Effects of spatial smoothing on functional brain networks

Tuomas Alakörkkö, Heini Saarimäki, Enrico Glerean, Jari Saramäki, Onerva Korhonen 2017 European Journal of Neuroscience

Consistency of Regions of Interest as nodes of fMRI functional brain networks

Onerva Korhonen, Heini Saarimäki, Enrico Glerean, Mikko Sams, Jari Saramäki 2017 Network Neuroscience

Sparse weightings for collapsing inverse solutions to cortical parcellations optimize M/EEG source reconstruction accuracy

Onerva Korhonen, Satu Palva, Matias J. Palva 2014 Journal of Neuroscience Methods