Fiber tract-based atlas of human white matter anatomy.
By Setsu Wakana, Hangyi Jiang, Lidia M. Nagae-Poetscher, Peter C. M. van Zijl, Susumu Mori. Radiology, 2004
1,955 citations recorded by the source corpus.
Subfields: Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/7470f48f46326c72301c5e3d7480125b3c9b1cb2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Pediatrics, Perinatology and Child Health
- Catherine Lebel
- Christian Beaulieu
- Nina F. Dronkers
- And U. Turken
- Marco Catani
- Michel Thiebaut de Schotten
- Flavio Dell'Acqua
- Mohamed L. Seghier
In Radiology, Nuclear Medicine and Imaging
- Olaf Sporns
- Alan C. Evans
- Yong He
- Martijn P. van den Heuvel
- Catherine Lebel
- E. Bullmore
- Christian Beaulieu
- Gaolang Gong
Citations in the corpus
- Multimodal population brain imaging in the UK Biobank prospective epidemiological study (2016, neutral): “While this might not provide statistical certainty for a diagnosis or interventional recommendation, it should allow for single-patient imaging to be used in a similar way to current state-of-the-art patient-tuned genetic testing.”
- Monkey to human comparative anatomy of the frontal lobe association tracts. (2012, methodology): “…in humans using post-mortem blunt dissections (Trolard, 1906; Curran, 1909; Lawes et al., 2008; Martino et al., 2010) and in vivo tractography (Catani et al., 2002; Wakana et al., 2004; Catani and Thiebaut de Schotten, 2008; Lawes et al., 2008; Urbanski et al., 2008; Pugliese et al., 2009).”
- The role of the posterior cingulate cortex in cognition and disease. (2014, background): “Structural connectivity of the PCC in humans is less well established than in non-human primates; however, recent advances in MRI have allowed the white matter connectivity of the PCC to be studied in vivo in humans (Wakana et al., 2004; Concha et al., 2005; Hagmann et al., 2008; Greicius et al., 20”
- Tract Profiles of White Matter Properties: Automating Fiber-Tract Quantification (2012, background): “They typically rely on manually drawing regions of interest (ROIs) that disambiguate the trajectory of a known fascicle from other fascicles within the brains of each participant [17,18].”
- Diffusion tensor imaging of white matter tract evolution over the lifespan (2012, methodology): “…fasciculi, fornix (body and crus combined), cingulum, anterior limb of the internal capsule, corticospinal tracts, genu, body, and splenium of the corpus callosum, and the uncinate fasciculus, according to a priori information on tract location (Catani et al., 2002; Wakana et al., 2004).”
- Motor and language DTI Fiber Tracking combined with intraoperative subcortical mapping for surgical removal of gliomas (2008, methodology): “Seed ROIs were chosen on the basis of previous anatomic knowledge, in sections perpendicular to the main course of the tracts (Wakana et al., 2004).”
- Exploring the brain network: a review on resting-state fMRI functional connectivity. (2010, background): “Combining resting-state fMRI recordings with DTI data identified an important role for the cingulum tract in interconnecting the key regions of the default mode network, verifying the direct structural axonal connections between the posterior cingulate cortex and medial frontal cortex known from ani”
- Functionally linked resting‐state networks reflect the underlying structural connectivity architecture of the human brain (2009, methodology): “Please note that no spatial smoothing was applied to the group consistency flagmaps. r 3134 r corpus callosum [Wakana et al., 2004] in interconnecting the active regions of the default mode network (see Fig.”
- Pediatric diffusion tensor imaging: Normal database and observation of the white matter maturation in early childhood (2006, background): “For more comprehensive anatomical assignment, readers may refer to Wakana et al. (2004) , the human white matter atlas (Mori et al., 2005), or consult our multimedia DTI atlas (www.DTIatlas.org).”
- Human Brain White Matter Atlas: Identification and Assignment of Common Anatomical Structures in Superficial White Matter (2008, background): “Diffusion tensor imaging (DTI) is an MRI modality that can delineate WM structures based on the orientation information of axons (Basser et al., 1994; Makris et al., 1997; Mori et al., 2005; Pierpaoli et al., 1996; Wakana et al., 2004).”
- Assessment of the early organization and maturation of infants' cerebral white matter fiber bundles: A feasibility study using quantitative diffusion tensor imaging and tractography (2006, methodology): “…possible (Conturo et al., 1999; Mori et al., 1999; for review Mori and van Zijl, 2002) and enables an in vivo ''dissection'' of several main fascicles (Catani et al., 2002, 2003; Mori et al., 2002; Hagmann et al., 2003) and the construction of atlases of white matter bundles (Wakana et al., 2004).”
- Microstructural maturation of the human brain from childhood to adulthood (2008, positive): “Tractography was used to identify the genu and splenium of the corpus callosum, the inferior and superior longitudinal fasciculi, the inferior and superior fronto-occipital fasciculi, fornix, cingulum, uncinate fasciculus, and corticospinal tract, according to a priori information on tract location ”
- Life-span changes of the human brain white matter: diffusion tensor imaging (DTI) and volumetry. (2010, methodology): “Further, binary masks based on the probabilistic JHU white-matter tractography atlas (Wakana et al. 2004; Mori et al. 2005; Hua et al. 2008) were created with a probability threshold of 5%, chosen to accommodate individual variation in WM architecture (Westlye, Walhovd, Bjørnerud, et al.”
- The Angular Gyrus (2013, background): “Several interesting questions that warrant further investigations are finally emphasized.”