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295512 occurrences (No.81 in the rank) during 5 years in the PubMed. [no cache] 500 found

305) Multiple regression analyses revealed that exception word RT accounted for unique variability in FA of the uncinate over and above regular words.

--- ABSTRACT ---

PMID:24189777 DOI:10.1007/s00429-013-0666-8

2015 Brain structure & function

* Investigating the ventral-lexical, dorsal-sublexical model of basic reading processes using diffusion tensor imaging.

- Recent results from diffusion tensor imaging (DTI) studies provide evidence of a ventral-lexical stream and a dorsal-sublexical stream associated with reading processing. We investigated the relationship between behavioural reading speed for stimuli thought to rely on either the ventral-lexical, dorsal-sublexical, or both streams and white matter via fractional anisotropy (FA) and mean diffusivity (MD) using DTI tractography. Participants (N = 32) overtly named exception words (e.g., 'one', ventral-lexical), regular words (e.g., 'won', both streams), nonwords ('wum', dorsal-sublexical) and pseudohomophones ('wun', dorsal-sublexical) in a behavioural lab. Each participant then underwent a brain scan that included a 30-directional DTI sequence. Tractography was used to extract FA and MD values from four tracts of interest: inferior longitudinal fasciculus, uncinate fasciculus, arcuate fasciculus, and inferior fronto-occipital fasciculus. Median reaction times (RTs) for reading exception words and regular words both showed a significant correlation with the FA of the uncinate fasciculus thought to underlie the ventral processing stream, such that response time decreased as FA increased. In addition, RT for exception and regular words showed a relationship with MD of the uncinate fasciculus, such that response time increased as MD increased. Multiple regression analyses revealed that exception word RT accounted for unique variability in FA of the uncinate over and above regular words. There were no robust relationships found between pseudohomophones, or nonwords, and tracts thought to underlie the dorsal processing stream. These results support the notion that word recognition, in general, and exception word reading in particular, rely on ventral-lexical brain regions.

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[frequency of next (right) word to over]

(1)145 the	(8)6 their	(15)3 four	(22)2 40
(2)70 time	(9)4 6	(16)3 longer	(23)2 OP
(3)67 a	(10)4 in	(17)3 other	(24)2 another
(4)12 time,	(11)3 1	(18)3 placebo	(25)2 collagen)
(5)9 of	(12)3 12	(19)2 2	(26)2 left
(6)7 and	(13)3 24	(20)2 30	(27)2 long
(7)6 an	(14)3 65	(21)2 4	(28)2 settlement

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--- WordNet output for over --- =>1.超えて, 一面に, 移って, 始めから終わりまで, 終わって, を支配して, の間, しながら, 倒れて, の上に, を覆って, を越えて, の向こう側に, より多く, 2.もう一度, 繰り返して Overview of noun over The noun over has 1 sense (no senses from tagged texts) 1. over -- ((cricket) the division of play during which six balls are bowled at the batsman by one player from the other team from the same end of the pitch) Overview of adj over The adj over has 1 sense (first 1 from tagged texts) 1. (21) complete, concluded, ended, over, all over, terminated -- (having come or been brought to a conclusion; "the harvesting was complete"; "the affair is over, ended, finished"; "the abruptly terminated interview") Overview of adv over The adv over has 5 senses (first 3 from tagged texts) 1. (23) over -- (at or to a point across intervening space etc.; "come over and see us some time"; "over there") 2. (2) over -- (throughout an area; "he is known the world over") 3. (1) over, o'er -- (throughout a period of time; "stay over the weekend") 4. over -- (beyond the top or upper surface or edge; forward from an upright position; "a roof that hangs over";) 5. all over, over -- (over the entire area; "the wallpaper was covered all over with flowers"; "she ached all over"; "everything was dusted over with a fine layer of soot") --- WordNet end ---