Journal Article

FZJ-2021-03454

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Parcellation-induced variation of empirical and simulated brain connectomes at group and subject levels

Domhof, J.FZJ* ; Jung, K.FZJ* ; Eickhoff, S. B.FZJ* ; Popovych, O. (Corresponding author)FZJ*

2021
The MIT Press Cambridge, MA

This record in other databases:      

Please use a persistent id in citations: http://hdl.handle.net/2128/28661  doi:10.1162/netn_a_00202

Abstract: Recent developments of whole-brain models have demonstrated their potential when investigating resting-state brain activity. However, it has not been systematically investigated how alternating derivations of the empirical structural and functional connectivity, serving as the model input, from MRI data influence modeling results. Here, we study the influence from one major element: the brain parcellation scheme that reduces the dimensionality of brain networks by grouping thousands of voxels into a few hundred brain regions. We show graph-theoretical statistics derived from the empirical data and modeling results exhibiting a high heterogeneity across parcellations. Furthermore, the network properties of empirical brain connectomes explain the lion’s share of the variance in the modeling results with respect to the parcellation variation. Such a clear-cut relationship is not observed at the subject-resolved level per parcellation. Finally, the graph-theoretical statistics of the simulated connectome correlate with those of the empirical functional connectivity across parcellations. However, this relation is not one-to-one, and its precision can vary between models. Our results imply that network properties of both empirical connectomes can explain the goodness-of-fit of whole-brain models to empirical data at a global group level but not at a single-subject level, which provides further insights into the personalization of whole-brain models.

---

Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)

Research Program(s):

1. 5231 - Neuroscientific Foundations (POF4-523) (POF4-523)
2. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)
3. HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)

Appears in the scientific report 2021

---

Database coverage:
; ; ; ; Article Processing Charges ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Emerging Sources Citation Index ; Fees ; PubMed Central ; SCOPUS ; Web of Science Core Collection

---