Using diffusion imaging to study human connectional anatomy.

By Heidi Johansen-Berg, Matthew F. S. Rushworth. Annual Review of Neuroscience, 2009

347 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/406d8f8beae383903e453950e9fdae40d9aedce1

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

On the relationship between the “default mode network” and the “social brain” (2012, positive): “First, we used diffusion imaging, an MRI technique aimed at characterizing the white matter pathways connecting areas of the brain (Johansen-Berg and Rushworth, 2009), to parcellate these brain areas into subregions based on their structural connectivity with the whole brain.”
Subregions of the human superior frontal gyrus and their connections (2013, neutral): “Diffusion tensor tractography (DTT) can show inter-regional anatomical connectivity in vivo (Johansen-Berg and Rushworth, 2009) and has been extensively used to parcellate heterogeneous brain regions based on their anatomical connection patterns, such as the thalamus (Behrens et al.”
Contributions and challenges for network models in cognitive neuroscience (2014, background): “The latter approach is driven by methodological developments in neuroimaging that have enabled the noninvasive mapping of structural and functional brain connec tivity 6,7 .”
Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks (2010, methodology): “We will not detail here the several methodological issues inherent to structural and functional connectivity MRI techniques ([4,6,8] for reviews).”
Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders (2014, methodology): “Here we expand on the previous computational psychiatry approaches by incorporating whole-brain computational modelling informed by connectomics, and not just applied to psychiatric disorders but also to neurological disorders, hence the new focus on computational neuropsychiatry and connectomics.”
The Integration of Negative Affect, Pain, and Cognitive Control in the Cingulate Cortex (2011, background): “In the remainder of this section, we focus largely on invasive tracing studies performed in monkeys — although rapid progress has been made in refining techniques for mapping structural connectivity in the living human brain, invasive studies are still considered the gold standar”
Health, USA Reviewed by: (2010, neutral): “…of primates (Kotter, 2004; Stephan et al., 2001), sufficient to build simple but plausible anatomical models related to action which can be supplemented by human anatomical connectivity estimates using diffusion weighted imaging (Johansen-Berg and Rushworth, 2009; Stephan et al., 2009b).”
PANDA: a pipeline toolbox for analyzing brain diffusion images (2013, background): “Given its unique merits, dMRI has been extensively applied to the study of WM connectivity in both normal and abnormal conditions, leading to a substantial enhancement in our understanding of the role of WM, particularly in brain diseases (Johansen-Berg and Rushworth, 2009).”
The Restless Brain (2011, neutral): “Functional fMRI has been complimented more recently by the use of diffusion tensor MRI to map, with increasing sophistication, the large ﬁber pathways in the brain (Johansen-Berg and Rushworth, 2009; Wedeen et al., 2005), resulting in more than 2000 published papers on the subject.”
Informatics and Data Mining Tools and Strategies for the Human Connectome Project (2011, background): “Probabilistic tractography integrates information throughout the white matter and can reveal detailed information about long-distance connectivity patterns between gray-matter regions (Johansen-Berg and Behrens, 2009; Johansen-Berg and Rushworth, 2009).”
Ultra-Fast MRI of the Human Brain with Simultaneous Multi-Slice Imaging (2013, background): “Diffusion imaging is a very different approach to identify brain connectivity through 3D fiber reconstructions utilizing anisotropic characteristics encoded in diffusion images [9,10] revealing neuronal fiber orientations and pathways.”
Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom (2011, background): “, 2008) and characterization of anatomical connections (Johansen-Berg and Rushworth, 2009).”