Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex

S Arslan, SI Ktena, A Makropoulos, EC Robinson… - NeuroImage, 2018 - Elsevier
The macro-connectome elucidates the pathways through which brain regions are
structurally connected or functionally coupled to perform a specific cognitive task. It …

Evaluation of functional MRI-based human brain parcellation: a review

P Moghimi, AT Dang, Q Do, TI Netoff… - Journal of …, 2022 - journals.physiology.org
Brain parcellations play a crucial role in the analysis of brain imaging data sets, as they can
significantly affect the outcome of the analysis. In recent years, several novel approaches for …

Evaluating brain parcellations using the distance‐controlled boundary coefficient

D Zhi, M King, CR Hernandez‐Castillo… - Human Brain …, 2022 - Wiley Online Library
One important approach to human brain mapping is to define a set of distinct regions that
can be linked to unique functions. Numerous brain parcellations have been proposed, using …

[HTML][HTML] An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks

M Salehi, A Karbasi, X Shen, D Scheinost… - Neuroimage, 2018 - Elsevier
Recent work with functional connectivity data has led to significant progress in
understanding the functional organization of the brain. While the majority of the literature has …

[HTML][HTML] Spatial stability of functional networks: A measure to assess the robustness of graph-theoretical metrics to spatial errors related to brain parcellation

F Bottino, M Lucignani, L Pasquini… - Frontiers in …, 2022 - frontiersin.org
There is growing interest in studying human brain connectivity and in modelling the brain
functional structure as a network. Brain network creation requires parcellation of the cerebral …

[HTML][HTML] Automated individual cortical parcellation via consensus graph representation learning

X Wen, M Yang, S Qi, X Wu, D Zhang - NeuroImage, 2024 - Elsevier
Cortical parcellation plays a pivotal role in elucidating the brain organization. Despite the
growing efforts to develop parcellation algorithms using functional magnetic resonance …

Constructing fine‐grained spatiotemporal neonatal functional atlases with spectral functional network learning

X Wen, Y Zhao, G Chen, H Zhang… - Human Brain …, 2024 - Wiley Online Library
The early stages of human development are increasingly acknowledged as pivotal in laying
the groundwork for subsequent behavioral and cognitive development. Spatiotemporal (4D) …

Highly reproducible whole brain parcellation in individuals via voxel annotation with fiber clusters

Y Wu, S Ahmad, PT Yap - … Conference on Medical Image Computing and …, 2021 - Springer
A central goal in systems neuroscience is to parcellate the brain into discrete units that are
neurobiologically coherent. Here, we propose a strategy for consistent whole-brain …

A review on mr based human brain parcellation methods

P Moghimi, AT Dang, TI Netoff, KO Lim… - arXiv preprint arXiv …, 2021 - arxiv.org
Brain parcellations play a ubiquitous role in the analysis of magnetic resonance imaging
(MRI) datasets. Over 100 years of research has been conducted in pursuit of an ideal brain …

D-MHGCN: An End-to-End Individual Behavioral Prediction Model Using Dual Multi-Hop Graph Convolutional Network

X Wen, Q Cao, Y Zhao, X Wu… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Predicting individual behavior is a crucial area of research in neuroscience. Graph Neural
Networks (GNNs), as powerful tools for extracting graph-structured features, are increasingly …