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原始链接: https://news.ycombinator.com/item?id=39127028
关于神经连接随年龄丧失的文章,我建议探索与冥想练习相关的神经学差异。 冥想涉及训练大脑形成特定的神经通路,研究表明,定期冥想练习会导致大脑结构和功能的变化,包括增加涉及情绪调节、注意力、记忆和换位思考等区域的灰质体积 好处。 这些结构和功能的改善,特别是前额皮质和海马体的改善,可能会减轻衰老对认知功能的一些负面影响。 此外,某些冥想技巧,特别是那些旨在培养同情心和亲社会行为的冥想技巧,可能会促进社交联系,从而可能降低老年人经常经历的与社会孤立或孤独相关的认知能力下降的风险。 因此,检查冥想和与认知功能相关的神经生物学标记之间的关系可以为在成年期保持认知功能和改善晚年生活质量的方法提供见解。 此外,对冥想引起的神经可塑性的探索促使一些研究人员提出更广泛地应用正念训练,作为生活方式医学计划的一部分,旨在支持健康的大脑老化,并分别在临床人群中预防或管理阿尔茨海默病或痴呆症 (Hölzel 等人,2010)。 总体而言,对整个成年期的个体进行冥想训练干预可能会提高生活质量并延缓与衰老相关的认知能力下降。 根据上面的文章,人工智能能否分析冥想和认知功能之间的相关性,特别是与年龄相关的相关性,并识别定期练习冥想的个体的神经连接模式? 请提供一份报告,总结对成年个体实施冥想训练干预措施的调查结果和建议。
1. "Bioelectricity"
This is a generic term which doesn't capture the nuance of charge gradients and chemical gradients in cells. While you can directly apply charges to interact with gradient based biological systems, this is a brute force method. Cells have chemically selective walls. So while applying an external electrical voltage can act in a similar manner as causing a neuron to fire, it is far less precise than the calcium and sodium channel mediated depolarization which implements normal firing. Said another way 'bioelectricity' is not simple.
2. Replacement
This one is a bit more subtle. If you find that you can affect a system by one means that is not the same thing as saying the means is the cause. Take the example of using RNA to transfer memory from one Aplysia to another. Immediately after transfer the recipient does not have the memory. It takes time for the introduced RNA to affect sensory cells so that they become more sensitive to stimulation. This is in contrast to a trained animal that has already undergone synaptic remodeling. If you have the appropriate synapses but were somehow able to remove all the relevant RNA in an instant, the animal would continue to 'remember' its training. Synapses are sufficient.
In reality there are multiple systems that work together over multiple timescales to produce the behaviors we observe. Some of those systems can have their contributions mimicked by other interventions. Because of this complexity you can never say 'it's really about X', the best you can say is 'X plays a major role' or 'X contributes Y percent to this observed phenomenon'.
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