近日，發(fā)表于PNAS的一項研究發(fā)現(xiàn),，大腦自發(fā)活動的個體差異可能有助于解釋一個人執(zhí)行類似于在電子游戲中遇到的視覺區(qū)分任務(wù)的速度和準(zhǔn)確度,。
Antonello Baldassarre及其同事設(shè)計了一個游戲，在這個游戲中,，健康的受試者被要求報告在一個顯示屏的某處閃動的倒轉(zhuǎn)的字母“T”是否存在,。當(dāng)玩家至少在80%的情況下正確地定位這些字母而沒有被以不同方向顯示的字母T分散注意力的時候，他們就成功了,。就在這項任務(wù)之前,，這組科研人員使用功能磁共振掃描記錄下了每一位玩家靜息時候的自發(fā)大腦活動。
該研究表明,，視覺皮層內(nèi)部以及視覺皮層和大腦前部區(qū)域之間的互聯(lián)性預(yù)測了之后在這個任務(wù)中的表現(xiàn),。
互聯(lián)性強(qiáng)的玩家表現(xiàn)出最初的高準(zhǔn)確性并且很快地學(xué)習(xí)了這個任務(wù),，但是與其他玩家相比改善率較慢。相反,，互聯(lián)性弱的玩家早期成績差,，而隨著時間推移，與其他玩家相比改善率提高較快,。
這組作者說,，這些發(fā)現(xiàn)表明在不熟悉的知覺任務(wù)上的成績的個體差異可能反映了大腦自發(fā)活動的個體差異。（生物谷Bioon.com）
doi:10.1073/pnas.1113148109
PMC:
PMID:
Individual variability in functional connectivity predicts performance of a perceptual task
Antonello Baldassarrea,Christopher M. Lewisa,Giorgia Committeria,Abraham Z. Snyderd,
Gian Luca Romania and Maurizio Corbettaa
People differ in their ability to perform novel perceptual tasks, both during initial exposure and in the rate of improvement with practice. It is also known that regions of the brain recruited by particular tasks change their activity during learning. Here we investigate neural signals predictive of individual variability in performance. We used resting-state functional MRI to assess functional connectivity before training on a novel visual discrimination task. Subsequent task performance was related to functional connectivity measures within portions of visual cortex and between visual cortex and prefrontal association areas. Our results indicate that individual differences in performing novel perceptual tasks can be related to individual differences in spontaneous cortical activity.
