Relating connectional architecture to grey matter function using diffusion imaging. Export

@article{citeulike:853207, abstract = {Understanding brain function in terms of connectional architecture is a major goal of neuroimaging. However, direct investigation of the influence of brain circuitry on function has been hindered by the lack of a technique for exploring anatomical connectivity in the in vivo brain. Recent advances in magnetic resonance diffusion imaging have given scientists access to data relating to local white matter architecture and, for the first time, have raised the possibility of in vivo investigations into brain circuitry. This review investigates whether diffusion imaging may be used to identify regions of grey matter that are distinct in their connectional architecture, and whether these connectional differences are reflected either in local cytoarchitecture or in local grey matter function.Establishing a direct relationship between regional boundaries based on diffusion imaging and borders between regions that perform different functions would not only be of great significance when interpreting functional results, but would also provide a first step towards the validation of diffusion-based anatomical connectivity studies.}, address = {Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK. behrens@fmrib.ox.ac.uk}, author = {Behrens, T. E. and Johansen-Berg, H.}, citeulike-article-id = {853207}, citeulike-linkout-0 = {http://dx.doi.org/10.1098/rstb.2005.1640}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/16087435}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=16087435}, day = {29}, doi = {10.1098/rstb.2005.1640}, issn = {0962-8436}, journal = {Philos Trans R Soc Lond B Biol Sci}, keywords = {dti, neuroscience, pubmed, review, segmentation}, month = {May}, number = {1457}, pages = {903--911}, posted-at = {2006-09-21 16:48:40}, priority = {3}, title = {Relating connectional architecture to grey matter function using diffusion imaging.}, url = {http://dx.doi.org/10.1098/rstb.2005.1640}, volume = {360}, year = {2005} }

TY - JOUR ID - citeulike:853207 L3 - citeulike-article-id:853207 N2 - Understanding brain function in terms of connectional architecture is a major goal of neuroimaging. However, direct investigation of the influence of brain circuitry on function has been hindered by the lack of a technique for exploring anatomical connectivity in the in vivo brain. Recent advances in magnetic resonance diffusion imaging have given scientists access to data relating to local white matter architecture and, for the first time, have raised the possibility of in vivo investigations into brain circuitry. This review investigates whether diffusion imaging may be used to identify regions of grey matter that are distinct in their connectional architecture, and whether these connectional differences are reflected either in local cytoarchitecture or in local grey matter function.Establishing a direct relationship between regional boundaries based on diffusion imaging and borders between regions that perform different functions would not only be of great significance when interpreting functional results, but would also provide a first step towards the validation of diffusion-based anatomical connectivity studies. IS - 1457 JF - Philos Trans R Soc Lond B Biol Sci SN - 0962-8436 AD - Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK. behrens@fmrib.ox.ac.uk EP - 911 TI - Relating connectional architecture to grey matter function using diffusion imaging. VL - 360 SP - 903 KW - dti KW - neuroscience KW - pubmed KW - review KW - segmentation AU - Behrens, TE AU - Johansen-Berg, H PY - 2005/05/29/ UR - http://dx.doi.org/10.1098/rstb.2005.1640 ER -