RECOGNITION MEMORY STATES BASED ON DISTRIBUTED PATTERNS OF FMRI

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 虽然大脑的反应不同，当它经历了一个新的感官刺激相比，以前遇到的刺激，传统的功能性磁共振成像（fMRI）数据分析方法，利用单变量统计比较体素活动水平的任务条件下，不能可靠地捕捉这些记忆效应的单次试验。我们试图利用分布式功能磁共振成像活动模式中所代表的丰富信息，使用多体素模式分析方法来解码单个刺激的记忆状态。在扫描之前，参与者研究了200张人脸的彩色照片。随后，参与者在对200张研究过的面孔和200张新面孔进行识别记忆决策时被扫描。对于每一张测试脸，参与者表示他们是否1）回忆起研究过这张脸，2）非常自信他们研究过它，3）认为他们研究过它，4）认为他们没有研究过它，或者5）非常自信他们没有研究过它。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. While the brain responds differently when it experiences a novel sensory stimulus as compared to a previously encountered stimulus, conventional functional magnetic resonance imaging (fMRI) data analysis approaches, utilizing univariate statistics to compare voxel activity levels across task conditions, cannot reliably capture these mnemonic effects on single trials. We sought to exploit the wealth of information represented in distributed fMRI activity patterns, using a multi-voxel pattern analysis approach to decode the mnemonic status of individual stimuli. Prior to scanning, participants studied 200 color photographs of human faces. Subsequently, participants were scanned while they made recognition memory decisions about the 200 studied faces intermixed with 200 novel faces. For each test face, participants indicated whether they 1) recollected having studied the face, 2) were highly confident they studied it, 3) thought they studied it, 4) thought they did not study it, or 5) were highly confident they did not study it.