Using high-resolution quantitative mapping of R1 as an index of cortical myelination. Correspondence of the brain’s functional architecture during activation and rest. This study provides an extensive evaluation of parcellation approaches based on resting-state functional connectivity. Human brain mapping: a systematic comparison of parcellation methods for the human cerebral cortex. Complex brain networks: graph theoretical analysis of structural and functional systems. Evaluation of non-negative matrix factorization of grey matter in age prediction. Multimodal population brain imaging in the UK Biobank prospective epidemiological study. Computational neuroanatomy using brain deformations: from brain parcellation to multivariate pattern analysis and machine learning. Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Individual variability of the system-level organization of the human brain. Parcellating cortical functional networks in individuals. Broca’s region revisited: cytoarchitecture and intersubject variability. This study represents an impressive endeavour to build a comprehensive multimodal brain map using in vivo MRI.Īmunts, K. A multi-modal parcellation of human cerebral cortex. Architectonics of the parietal and temporal association cortex in the strepsirhine primate Galago compared to the anthropoid primate Macaca. Vergleichende Lokalisationslehre der Grosshirnrinde in ihren Prinzipien dargestellt auf Grund des Zellenbaues (Johann Ambrosius Barth, 1909). Architectonic mapping of the human brain beyond Brodmann. Distributed hierarchical processing in the primate cerebral cortex. Topographic organization of the cerebral cortex and brain cartography. Anatomical and functional parcellation of the human lateral premotor cortex. in Higher-Order Motor Disorders: From Neuroanatomy and Neurobiology to Clinical Neurology (eds Freund, H.-J., Jeannerod, M., Hallett, M. Functional organization of the hippocampal longitudinal axis. Cytoarchitectonic mapping of the human amygdala, hippocampal region and entorhinal cortex: intersubject variability and probability maps. References 3–5 demonstrate that fine-scale inter-individual differences in brain anatomy and parcellations are predictive of individuals’ behaviour, such as cognitive performance and personality traits.Īmunts, K. Spatial topography of individual-specific cortical networks predicts human cognition, personality and emotion. How interindividual differences in brain anatomy shape reading accuracy.
The relationship between spatial configuration and functional connectivity of brain regions. Distributed processing distributed functions? NeuroImage 61, 407–426 (2012).īijsterbosch, J. A measure for brain complexity: relating functional segregation and integration in the nervous system.