Joshua W Cohen, Taian Vieira, Tanya D Ivanova, S Jayne Garland
{"title":"体位站立时三头肌不同运动单元亚群的共享突触输入分析。","authors":"Joshua W Cohen, Taian Vieira, Tanya D Ivanova, S Jayne Garland","doi":"10.1152/jn.00508.2024","DOIUrl":null,"url":null,"abstract":"<p><p>Previously, we have observed differential firing behaviors and recruitment locations of distinct motor unit (MU) subgroups within the same muscles. This study examined the amount of shared synaptic inputs to these MU subgroups. Twenty-four participants (10 healthy young adults: 5 females, 5 males; means ± SD: age 27 ± 2.5 yr and 14 healthy older adults: 6 males and 8 females; means ± SD: age 74.8 ± 5.3 yr) stood on a force platform and leaned in five directions maintaining their center of pressure for 35 s per direction. High-density surface electromyography recordings from the medial gastrocnemius, lateral gastrocnemius, and soleus were decomposed into single MU action potentials. MU tracking classified MUs as \"common\" or \"unique\" across leaning directions. Synaptic input was estimated using a coherence analysis (proportion of common input; PCI). Three PCI analyses (common, unique, and between the MU subgroups) quantified neural connectivity. MU subgroup significantly affected PCI (<i>F</i> = 25.92, <i>P</i> < 0.0001), with common MUs exhibiting higher PCI than unique (MD = 0.08, CI [0.07, 0.09], <i>P</i> < 0.0001) and between-subgroup MUs (MD = 0.04, CI [0.03, 0.05], <i>P</i> = 0.0058). Unique MUs had significantly lower PCI than between-subgroup MUs (MD = 0.04, CI [0.03, 0.06], <i>P</i> = 0.048). Taken together, both subgroups receive shared neural inputs for task-specific force production, more so in the common motor units. Importantly, a main effect of age (<i>F</i> = 4.56, <i>P</i> = 0.04) was observed, with older adults exhibiting higher PCI, though post hoc analyses did not reveal significant differences (<i>P</i> = 0.45-0.67).<b>NEW & NOTEWORTHY</b> Our study reveals differing amounts of shared neural inputs to MU subgroups within the same muscle during standing balance. The proportion of common input (PCI) varies with leaning direction, indicating task dependency and different descending and proprioceptive inputs. Surprisingly, age did not significantly affect PCI values in any MU subgroup or the entire muscle, suggesting that age-related differences in recruitment and firing patterns are more related to factors such as proprioceptive feedback than a common input.</p>","PeriodicalId":16563,"journal":{"name":"Journal of neurophysiology","volume":" ","pages":"1007-1019"},"PeriodicalIF":2.1000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of shared synaptic inputs to different motor unit subgroups in triceps surae during a postural standing task.\",\"authors\":\"Joshua W Cohen, Taian Vieira, Tanya D Ivanova, S Jayne Garland\",\"doi\":\"10.1152/jn.00508.2024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Previously, we have observed differential firing behaviors and recruitment locations of distinct motor unit (MU) subgroups within the same muscles. This study examined the amount of shared synaptic inputs to these MU subgroups. Twenty-four participants (10 healthy young adults: 5 females, 5 males; means ± SD: age 27 ± 2.5 yr and 14 healthy older adults: 6 males and 8 females; means ± SD: age 74.8 ± 5.3 yr) stood on a force platform and leaned in five directions maintaining their center of pressure for 35 s per direction. High-density surface electromyography recordings from the medial gastrocnemius, lateral gastrocnemius, and soleus were decomposed into single MU action potentials. MU tracking classified MUs as \\\"common\\\" or \\\"unique\\\" across leaning directions. Synaptic input was estimated using a coherence analysis (proportion of common input; PCI). Three PCI analyses (common, unique, and between the MU subgroups) quantified neural connectivity. MU subgroup significantly affected PCI (<i>F</i> = 25.92, <i>P</i> < 0.0001), with common MUs exhibiting higher PCI than unique (MD = 0.08, CI [0.07, 0.09], <i>P</i> < 0.0001) and between-subgroup MUs (MD = 0.04, CI [0.03, 0.05], <i>P</i> = 0.0058). Unique MUs had significantly lower PCI than between-subgroup MUs (MD = 0.04, CI [0.03, 0.06], <i>P</i> = 0.048). Taken together, both subgroups receive shared neural inputs for task-specific force production, more so in the common motor units. Importantly, a main effect of age (<i>F</i> = 4.56, <i>P</i> = 0.04) was observed, with older adults exhibiting higher PCI, though post hoc analyses did not reveal significant differences (<i>P</i> = 0.45-0.67).<b>NEW & NOTEWORTHY</b> Our study reveals differing amounts of shared neural inputs to MU subgroups within the same muscle during standing balance. The proportion of common input (PCI) varies with leaning direction, indicating task dependency and different descending and proprioceptive inputs. 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引用次数: 0
摘要
以前,我们已经观察到相同肌肉中不同运动单元(MU)亚群的不同放电行为和招募位置。这项研究检查了这些MU亚群共享突触输入的数量。24名参与者(10名健康青年,5名女性,5名男性,平均±SD:年龄27±2.5岁)和14名健康老年人,6名男性,8名女性,平均±SD:年龄74.8±5.3岁)站在一个力台上,向五个方向倾斜,每个方向保持压力中心35s。将腓肠肌内侧、腓肠肌外侧和比目鱼肌的高密度表面肌电记录分解为单个MU动作电位。MU跟踪将MU在倾斜方向上划分为“普通”或“独特”。使用相干分析(共输入的比例;PCI)估计突触输入。三种PCI分析(常见、独特和MU亚组之间)量化了神经连通性。MU亚组显著影响PCI (F = 25.92, p < 0.0001),其中普通MU高于独特MU (MD = 0.08, CI [0.07, 0.09], p < 0.0001),亚组间MU (MD = 0.04, CI [0.03, 0.05], p = 0.0058)。单独用药组的PCI明显低于亚组间用药组(MD = 0.04, CI [0.03, 0.06], p = 0.048)。总的来说,这两个亚群接受共同的神经输入,以产生特定任务的力量,在共同的运动单元中更是如此。重要的是,观察到年龄的主要影响(F = 4.56, p = 0.04),老年人表现出更高的PCI,尽管事后分析没有显示显着差异(p = 0.45-0.67)。
Analysis of shared synaptic inputs to different motor unit subgroups in triceps surae during a postural standing task.
Previously, we have observed differential firing behaviors and recruitment locations of distinct motor unit (MU) subgroups within the same muscles. This study examined the amount of shared synaptic inputs to these MU subgroups. Twenty-four participants (10 healthy young adults: 5 females, 5 males; means ± SD: age 27 ± 2.5 yr and 14 healthy older adults: 6 males and 8 females; means ± SD: age 74.8 ± 5.3 yr) stood on a force platform and leaned in five directions maintaining their center of pressure for 35 s per direction. High-density surface electromyography recordings from the medial gastrocnemius, lateral gastrocnemius, and soleus were decomposed into single MU action potentials. MU tracking classified MUs as "common" or "unique" across leaning directions. Synaptic input was estimated using a coherence analysis (proportion of common input; PCI). Three PCI analyses (common, unique, and between the MU subgroups) quantified neural connectivity. MU subgroup significantly affected PCI (F = 25.92, P < 0.0001), with common MUs exhibiting higher PCI than unique (MD = 0.08, CI [0.07, 0.09], P < 0.0001) and between-subgroup MUs (MD = 0.04, CI [0.03, 0.05], P = 0.0058). Unique MUs had significantly lower PCI than between-subgroup MUs (MD = 0.04, CI [0.03, 0.06], P = 0.048). Taken together, both subgroups receive shared neural inputs for task-specific force production, more so in the common motor units. Importantly, a main effect of age (F = 4.56, P = 0.04) was observed, with older adults exhibiting higher PCI, though post hoc analyses did not reveal significant differences (P = 0.45-0.67).NEW & NOTEWORTHY Our study reveals differing amounts of shared neural inputs to MU subgroups within the same muscle during standing balance. The proportion of common input (PCI) varies with leaning direction, indicating task dependency and different descending and proprioceptive inputs. Surprisingly, age did not significantly affect PCI values in any MU subgroup or the entire muscle, suggesting that age-related differences in recruitment and firing patterns are more related to factors such as proprioceptive feedback than a common input.
期刊介绍:
The Journal of Neurophysiology publishes original articles on the function of the nervous system. All levels of function are included, from the membrane and cell to systems and behavior. Experimental approaches include molecular neurobiology, cell culture and slice preparations, membrane physiology, developmental neurobiology, functional neuroanatomy, neurochemistry, neuropharmacology, systems electrophysiology, imaging and mapping techniques, and behavioral analysis. Experimental preparations may be invertebrate or vertebrate species, including humans. Theoretical studies are acceptable if they are tied closely to the interpretation of experimental data and elucidate principles of broad interest.