%0 Journal Article %1 bradnam2019visual %A Bradnam, Lynley %A Chen, Celia S. %A Callahan, Rebecca %A Hoppe, Sabrina %A Rosenich, Emily %A Loetscher, Tobias %D 2019 %I Taylor & Francis %J Journal of Clinical and Experimental Neuropsychology %K %N 7 %P 769-774 %R 10.1080/13803395.2019.1629394 %T Visual compensation in cervical dystonia %V 41

@article{bradnam2019visual, added-at = {2023-08-31T14:41:49.000+0200}, affiliation = {Loetscher, T (Reprint Author), Univ South Australia, Cognit Ageing & Impairment Neurosci Lab, GPO Box 2471, Adelaide, SA 5001, Australia. Bradnam, Lynley, Univ Auckland, Dept Exercise Sci, Auckland, New Zealand. Chen, Celia S., Flinders Med Ctr, Dept Ophthalmol, Adelaide, SA, Australia. Chen, Celia S., Flinders Univ S Australia, Adelaide, SA, Australia. Callahan, Rebecca; Rosenich, Emily; Loetscher, Tobias, Univ South Australia, Cognit Ageing & Impairment Neurosci Lab, GPO Box 2471, Adelaide, SA 5001, Australia. Hoppe, Sabrina, Robert Bosch GmbH, Corp Res, Renningen, Germany. Hoppe, Sabrina, Univ Stuttgart, Machine Learning & Robot Lab, Stuttgart, Germany.}, author = {Bradnam, Lynley and Chen, Celia S. and Callahan, Rebecca and Hoppe, Sabrina and Rosenich, Emily and Loetscher, Tobias}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/265472c21b442c72e735706c588e190d2/puma-wartung}, doi = {10.1080/13803395.2019.1629394}, interhash = {99c4899400e4370255f0bcbc0c6b2ab3}, intrahash = {65472c21b442c72e735706c588e190d2}, issn = {{1380-3395} and {1744-411X}}, journal = {Journal of Clinical and Experimental Neuropsychology}, keywords = {}, language = {eng}, number = 7, orcid-numbers = {Callahan, Rebecca/0000-0003-0975-2180 Rosenich, Emily/0000-0002-7600-9277 Loetscher, Tobias/0000-0003-1967-2926 Bradnam, Lynley/0000-0002-3067-0326}, pages = {769-774}, publisher = {Taylor & Francis}, research-areas = {Psychology; Neurosciences & Neurology}, researcherid-numbers = {Callahan, Rebecca/G-8904-2012}, timestamp = {2023-08-31T12:41:49.000+0200}, title = {Visual compensation in cervical dystonia}, unique-id = {ISI:000472881900001}, volume = 41, year = 2019 }