2015年3月4日水曜日

Representation of aversive prediction errors in the human periaqueductal gray

Mathieu Roy, Daphna Shohamy, Nathaniel Daw, Marieke Jepma, G Elliott Wimmer & Tor D Wager
Nature Neuroscience 17, 1607–1612 (2014)

ヒトfMRI。
痛みに関する予測誤差は periaqueductal(中脳水道周囲灰白質?)で処理されている。

Pain is a primary driver of learning and motivated action. It is also a target of learning, as nociceptive brain responses are shaped by learning processes. We combined an instrumental pain avoidance task with an axiomatic approach to assessing fMRI signals related to prediction errors (PEs), which drive reinforcement-based learning. We found that pain PEs were encoded in the periaqueductal gray (PAG), a structure important for pain control and learning in animal models. Axiomatic tests combined with dynamic causal modeling suggested that ventromedial prefrontal cortex, supported by putamen, provides an expected value–related input to the PAG, which then conveys PE signals to prefrontal regions important for behavioral regulation, including orbitofrontal, anterior mid-cingulate and dorsomedial prefrontal cortices. Thus, pain-related learning involves distinct neural circuitry, with implications for behavior and pain dynamics.

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