Andreou Lefkothea-Vasiliki, Griffiths Timothy D, Chait Maria
UCL Ear Institute, 332 Gray's Inn Road, London WC1X 8EE, UK.
Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, UK; Institute of Neuroscience, Newcastle University Medical School, Newcastle upon Tyne NE2 4HH, UK.
Neuroimage. 2015 Apr 15;110:194-204. doi: 10.1016/j.neuroimage.2015.01.052. Epub 2015 Feb 4.
To probe sensitivity to the time structure of ongoing sound sequences, we measured MEG responses, in human listeners, to the offset of long tone-pip sequences containing various forms of temporal regularity. If listeners learn sequence temporal properties and form expectancies about the arrival time of an upcoming tone, sequence offset should be detectable as soon as an expected tone fails to arrive. Therefore, latencies of offset responses are indicative of the extent to which the temporal pattern has been acquired. In Exp1, sequences were isochronous with tone inter-onset-interval (IOI) set to 75, 125 or 225ms. Exp2 comprised of non-isochronous, temporally regular sequences, comprised of the IOIs above. Exp3 used the same sequences as Exp2 but listeners were required to monitor them for occasional frequency deviants. Analysis of the latency of offset responses revealed that the temporal structure of (even rather simple) regular sequences is not learnt precisely when the sequences are ignored. Pattern coding, supported by a network of temporal, parietal and frontal sources, improved considerably when the signals were made behaviourally pertinent. Thus, contrary to what might be expected in the context of an 'early warning system' framework, learning of temporal structure is not automatic, but affected by the signal's behavioural relevance.
为探究对正在进行的声音序列时间结构的敏感性,我们测量了人类听众对包含各种时间规律形式的长音脉冲序列偏移的脑磁图(MEG)反应。如果听众学习了序列的时间特性并形成了对即将到来音调到达时间的预期,那么一旦预期音调未到达,序列偏移就应该能够被检测到。因此,偏移反应的潜伏期表明了时间模式被习得的程度。在实验1中,序列是等时的,音调的发作间隔(IOI)设置为75、125或225毫秒。实验2由非等时的、时间上规则的序列组成,这些序列由上述IOI组成。实验3使用与实验2相同的序列,但要求听众监测其中偶尔出现的频率偏差。对偏移反应潜伏期的分析表明,当序列被忽略时,(即使是相当简单的)规则序列的时间结构也不会被精确习得。当信号与行为相关时,由颞叶、顶叶和额叶源网络支持的模式编码有了显著改善。因此,与“早期预警系统”框架下可能预期的情况相反,时间结构的学习不是自动的,而是受信号行为相关性的影响。