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Better ability to discriminate subsecond durations was associated with a larger GM volume in the bilateral anterior cerebellum, whereas better performance in estimating the suprasecond range was associated with a smaller GM volume in the inferior parietal lobule. These results indicate that regional GM volume is predictive of an individual's timing abilities. These morphological results support the notion that subsecond durations are processed in the motor system, whereas suprasecond durations are processed in the parietal cortex by utilizing the capacity of attention and working memory to keep track of time.<\/jats:p>","DOI":"10.1162\/jocn_a_00580","type":"journal-article","created":{"date-parts":[[2014,1,23]],"date-time":"2014-01-23T16:41:47Z","timestamp":1390495307000},"page":"1685-1693","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":79,"title":["Dissociable Neuroanatomical Correlates of Subsecond and Suprasecond Time Perception"],"prefix":"10.1162","volume":"26","author":[{"given":"Masamichi J.","family":"Hayashi","sequence":"first","affiliation":[{"name":"1University of Helsinki"},{"name":"2Aalto University"},{"name":"3University College London"}]},{"given":"Moona","family":"Kantele","sequence":"additional","affiliation":[{"name":"1University of Helsinki"},{"name":"2Aalto University"}]},{"given":"Vincent","family":"Walsh","sequence":"additional","affiliation":[{"name":"3University College London"}]},{"given":"Synn\u00f6ve","family":"Carlson","sequence":"additional","affiliation":[{"name":"1University of Helsinki"},{"name":"2Aalto University"}]},{"given":"Ryota","family":"Kanai","sequence":"additional","affiliation":[{"name":"3University College London"},{"name":"4University of Sussex"}]}],"member":"281","published-online":{"date-parts":[[2014,8,1]]},"reference":[{"key":"2021073000444897000_R1","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.neuroimage.2007.07.007","article-title":"A fast diffeomorphic image registration algorithm.","volume":"38","author":"Ashburner","year":"2007","journal-title":"Neuroimage"},{"key":"2021073000444897000_R2","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1016\/j.neuron.2012.07.019","article-title":"Learning about time: Plastic changes and interindividual brain differences.","volume":"75","author":"Bueti","year":"2012","journal-title":"Neuron"},{"key":"2021073000444897000_R3","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1162\/jocn.2008.20017","article-title":"Different brain circuits underlie motor and perceptual representations of temporal intervals.","volume":"20","author":"Bueti","year":"2008","journal-title":"Journal of Cognitive Neuroscience"},{"key":"2021073000444897000_R4","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1038\/nrn1764","article-title":"What makes us tick? 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