单胺类神经递质
神经科学
单胺类
神经调节
重性抑郁障碍
多巴胺
神经可塑性
医学
扣带回前部
慢性疼痛
心理学
神经认知
谷氨酸的
氯胺酮
神经递质
前额叶皮质
神经生理学
生物神经网络
突触
萧条(经济学)
神经病理性疼痛
血清素
谷氨酸受体
FKBP5型
海马体
神经传递
默认模式网络
电休克疗法
突触可塑性
压力源
神经营养因子
神经营养素
海马结构
精神科
唤醒
认知
连接体
难治性抑郁症
作者
Daniel Bulek,Sara BaDour
标识
DOI:10.1152/jn.00516.2025
摘要
For decades, major depressive disorder was attributed to a deficit in monoamine neurotransmitters. Clinical latency of tricyclic and selective serotonin reuptake inhibitors, high nonresponse rates, and inconsistent genetic findings challenged this view and redirected research toward downstream biology. Preclinical work revealed that chronic stress triggers dendritic and spine loss in the hippocampus and prefrontal cortex, whereas all effective treatments-including slow-acting monoaminergic drugs, rapid-acting ketamine, electroconvulsive therapy, and aerobic exercise-restore synapse number and function through brain-derived neurotrophic factor, TrkB, and mTOR signaling. Human connectomic studies then reframed depression as a disorder of mistimed large-scale networks; targeted neuromodulation of nodes intrinsically anticorrelated with the subgenual cingulate provides proof of concept. Parallel findings in immunology and gut-brain science show that psychosocial stress, peripheral cytokines, and metabolic cues converge on the same plasticity pathways, dissolving the historical boundary between "reactive" and "endogenous" depression. Ketamine crystallizes this multiscale model: within minutes, it induces dendritic-spine formation, normalizes default-mode and limbic connectivity, and relieves symptoms within hours. We synthesize these lines of evidence into a framework of precision synaptic psychiatry, in which pharmacological, neuromodulatory, and lifestyle interventions are selected according to biomarkers that index glutamatergic tone, inflammatory load, or network dynamics. Future therapeutics will be judged less by the neurotransmitters they influence and more by their capacity to restore flexible, resilient brain circuitry.
科研通智能强力驱动
Strongly Powered by AbleSci AI