Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex.

By Heidi Johansen-Berg, Timothy Edward John Behrens, M. Robson, Ivana Drobnjak, Matthew F. S. Rushworth, Joanne Brady, S. Smith, Desmond John Higham, Paul M. Matthews. Proceedings of the National Academy of Sciences of the United States of America, 2004

713 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/5532c51a3b2cb7709339bd37527dd23d2f6af56d

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Citations in the corpus

Mapping Human Cortical Areas in vivo Based on Myelin Content as Revealed by T1- and T2-weighted MRI (2011, background): “5B,H) as defined by diffusion connectivity (Johansen-Berg et al., 2004).”
Triangulating a Cognitive Control Network Using Diffusion-Weighted Magnetic Resonance Imaging (MRI) and Functional MRI (2007, methodology): “with a previous DWI study in humans (Johansen-Berg et al., 2004).”
The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture (2016, positive): “These include tractography-based anatomical connectivity (Behrens et al. 2003; Johansen-Berg et al. 2004), resting-state functional connectivity (Cohen, Fair, et al. 2008; Cohen, Lombardo, et al. 2008; Nelson et al. 2010), structural covariance (Cohen, Fair, et al. 2008; Cohen, Lombardo, et al.…”
Diffusion MRI at 25: Exploring brain tissue structure and function (2012, methodology): “Comparisons with resting state (Mars et al., 2011) or with task-based fMRI data (Johansen-Berg et al., 2004, 2005; Schubotz et al., 2010; Tomassini et al., 2007) underline the functional significance of these parcellations.”
Functional role of the supplementary and pre-supplementary motor areas (2008, background): “Most of our knowledge about the connections of the SMC comes from studies in monkeys, although there are some recent diffusion-weighted imaging findings from human”
The brain basis of language processing: from structure to function. (2011, methodology): “These new neuroarchitectonic approaches are 1) advanced objective cytoarchitectonic analysis based on the density of different types of neurons in the cortex (5, 6), 2) receptorarchitectonic analysis based on the distribution of different types of neuroreceptors in the cortex (3, 267), and 3) the co”
Decoding the role of the insula in human cognition: functional parcellation and large-scale reverse inference. (2013, methodology): “All participants gave informed consent according to procedures approved by the University of Arizona’s Institutional Review Board.”
Anatomical connectivity patterns predict face-selectivity in the fusiform gyrus (2011, neutral): “versus (1) Normalize to template brain”
Connectivity-Based Parcellation of Human Cingulate Cortex and Its Relation to Functional Specialization (2009, methodology): “The precentral gyrus masks were derived from the atlas incorporated in the latest version of FSLview (Johansen-Berg et al., 2004) (http://www.”
“Roles for the pre-supplementary motor area and the right inferior frontal gyrus in stopping action: electrophysiological responses and functional and structural connectivity” (2011, methodology): “Second, DTI was used to verify the connection between the preSMA and the rIFG that has been established in normative populations (Aron et al., 2007; Ford et al., 2010; Forstmann et al., 2010; Johansen-Berg et al., 2004).”
Three-dimensional locations and boundaries of motor and premotor cortices as defined by functional brain imaging: A meta-analysis (2006, background): “Therefore, our data suggest that the ventral limit is more ventral rostrally than it is caudally, and this finding is consistent with previous depictions (in figures) (Crosson et al., 1999;Deiber et al., 1999;Johansen-Berg et al., 2004).”
DIFFUSION-WEIGHTED IMAGING TRACTOGRAPHY-BASED PARCELLATION OF THE HUMAN PARIETAL CORTEX AND COMPARISON WITH HUMAN AND MACAQUE RESTING STATE FUNCTIONAL CONNECTIVITY (2011, methodology): “A connectivity matrix between parietal vertices and each brain voxel was derived as described previously (Johansen-Berg et al., 2004) and used to generate a symmetric cross-correlation matrix of dimensions (number of seeds number of seeds) in which the (i,j)th element value is the correlation…”
Review of methods for functional brain connectivity detection using fMRI (2008, methodology): “Model-based methods, especially CCA, are widely used in the detection of functional connectivity [26–29], however, some concerns exist.”
The organization of the human cerebral cortex estimated by intrinsic functional connectivity. (2011, background): “2002) and human research (e.g., Cohen et al. 2008; Johansen-Berg et al. 2004; Nelson et al. 2010).”
The Human Connectome: A Structural Description of the Human Brain (2005, positive): “The idea that patterns of connectivity can be used to identify areal boundaries has also been tested in a combination of functional imaging and DTI/tractography in the human medial frontal cortex [53].”
Mapping the Structural Core of Human Cerebral Cortex (2008, background): “Another advance would be to parcellate cortex not on the basis of sulcal and gyral landmarks, but rather on the basis of regularities in functional connections that are observed in individual participants [49,50].”
Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation (2011, methodology): “Following earlier reports that cortical modules may be defined by differences in anatomical connectivity (Johansen-Berg et al., 2004; Klein et al., 2007; Tomassini et al., 2007) or resting state correlations (Kim et al.”