DIFFUSION-WEIGHTED IMAGING TRACTOGRAPHY-BASED PARCELLATION OF THE HUMAN PARIETAL CORTEX AND COMPARISON WITH HUMAN AND MACAQUE RESTING STATE FUNCTIONAL CONNECTIVITY
By Rogier B. Mars, Saâd Jbabdi, Jérôme Sallet, J. O’Reilly, P. Croxson, E. Olivier, MaryAnn P. Noonan, C. Bergmann, Anna S. Mitchell, Mark G. Baxter and 5 more. Journal of Neuroscience, 2011
454 citations recorded by the source corpus.
Despite the prominence of parietal activity in human neuroimaging investigations of sensorimotor and cognitive processes, there remains uncertainty about basic aspects of parietal cortical anatomical organization. Descriptions of human parietal cortex draw heavily on anatomical schemes developed in other primate species, but the validity of such comparisons has been questioned by claims that there are fundamental differences between the parietal cortex in humans and other primates. A scheme is presented for parcellation of human lateral parietal cortex into component regions on the basis of anatomical connectivity and the functional interactions of the resulting clusters with other brain regions. Anatomical connectivity was estimated using diffusion-weighted magnetic resonance image (MRI)-based tractography, and functional interactions were assessed by correlations in activity measured with functional MRI at rest. Resting-state functional connectivity was also assessed directly in the rhesus macaque lateral parietal cortex in an additional experiment, and the patterns found reflected known neuroanatomical connections. Cross-correlation in the tractography-based connectivity patterns of parietal voxels reliably parcellated human lateral parietal cortex into 10 component clusters. The resting-state functional connectivity of human superior parietal and intraparietal clusters with frontal and extrastriate cortex suggested correspondences with areas in macaque superior and intraparietal sulcus. Functional connectivity patterns with parahippocampal cortex and premotor cortex again suggested fundamental correspondences between inferior parietal cortex in humans and macaques. In contrast, the human parietal cortex differs in the strength of its interactions between the central inferior parietal lobule region and the anterior prefrontal cortex.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/d9321a32a61fd163c93c8dbcff7b3dae50886d47
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Stephen M. Smith
- Olaf Sporns
- Matthew F. Glasser
- Timothy Edward John Behrens
- David C. Van Essen
- Kamil Ugurbil
- Heidi Johansen-Berg
- Jesper L. R. Andersson
In Radiology, Nuclear Medicine and Imaging
- Stephen M. Smith
- Olaf Sporns
- Matthew F. Glasser
- Saâd Jbabdi
- Jesper L. R. Andersson
- Kamil Ugurbil
- David C. Van Essen
- Timothy Edward John Behrens
Citations in the corpus
- A Convergent Functional Architecture of the Insula Emerges Across Imaging Modalities (2012, unknown): “…et al., 2008), electrophysiological measures of neuronal activity (He et al., 2008; Keller et al., 2011), and static measures of brain structure (Mars et al., 2011a; Seeley et al., 2009) supports this hypothesis and suggests a fundamental brain architecture governing both structure and function.”
- Brain Networks Underlying Episodic Memory Retrieval (2012, unknown): “Unlike retrosplenial cortex and mPFC, there is little evidence from animal studies to implicate the angular gyrus in episodic memory (although a putative homologous region in the macaque demonstrates a pattern of resting state connectivity similar to that shown in humans [26]).”
- Connectivity profiles reveal the relationship between brain areas for social cognition in human and monkey temporoparietal cortex (2013, methodology): “It has previously been shown that light anaethesia using this agent, although it might affect activity levels, does not influence the distributed patterns of functional connectivity (46), which still reflects known anatomical connections (24) and is similar during rest and task performance (47).”
- Are there specialized circuits for social cognition and are they unique to humans? (2013, background): “Other regions in macaque, such as the lateral intraparietal area, appear related to a set of areas, perhaps relatively specialized ones, rather than a single area in humans [24].”
- 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.”
- Subregions of the human superior frontal gyrus and their connections (2013, unknown): “results were consistent with those from cytoarchitecture and tract tracing studies (Johansen-Berg et al., 2004; Mars et al., 2011).”
- Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project (2013, background): “A growing number of studies have revealed important insights through systematic studies of whole-brain connectivity using the aforementioned MR methods (e.g. Hagmann et al., 2008; Mars et al., 2011; Nelson et al., 2010; Power et al., 2011; van den Heuvel et al., 2009; Yeo et al., 2011).”
- Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases. (2012, background): “Confidence in such parcellations increases when supported by data from multiple modalities (Nelson et al. 2010; Glasser and Van Essen 2011; Glasser et al. 2011; Mars et al. 2011).”
- Network attributes for segregation and integration in the human brain. (2013, methodology): “Particularly promising are multimodal approaches, for example combining resting-state functional connectivity with data on task-related activations [21 ] (Figure 2a) or with meta-analytic coactivation analysis [22], or combining boundary detection in structural and functional brain networks [23].”