MIT神经科学家的最新研究表明，语言和逻辑推理由大脑中的不同系统驱动[1]。由MIT脑认知科学副教授Evelina Fedorenko领导的团队发现，即使患有严重语言障碍的中风患者也能像没有语言障碍的人一样出色地解决复杂逻辑谜题[1]。脑扫描显示，在推理任务中，语言处理区域保持相对静止[1]。
研究采用了数字、视觉图案逻辑游戏和假言推理测试（"若-则"陈述）等方法，对两名中风患者和对照组进行了测试[1]。结果表明，语言系统在归纳推理和演绎推理中均未被激活[1]。多需求网络在归纳推理中表现活跃，但在演绎推理中不参与[1]。这项研究已发表在《美国国家科学院院刊》(PNAS)2026年第123卷第28期上[1]。
Researchers at MIT have found that language and logical reasoning are driven by distinct neural systems in the brain.[1] Led by Evelina Fedorenko, an associate professor of brain and cognitive sciences at MIT's McGovern Institute, the team demonstrated that stroke patients with severe language impairments could solve complex logical puzzles as effectively as unimpaired individuals, with brain scans showing that language processing regions remained relatively inactive during reasoning tasks.[1]
The study, published in the Proceedings of the National Academy of Sciences (PNAS) Volume 123, Issue 28 in 2026, tested two stroke patients with significant language disorders alongside a control group using numerical problems, visual pattern logic games, and conditional reasoning tasks based on "if-then" statements.[1] The findings revealed that the language system was not activated in either inductive or deductive reasoning.[1] While the multiple-demand network showed activity during inductive reasoning, it did not participate in deductive reasoning tasks.[1]