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具有非单调水平调谐的方位敏感单单元反应的皮层合成:猫的丘脑皮层比较

Cortical synthesis of azimuth-sensitive single-unit responses with nonmonotonic level tuning: a thalamocortical comparison in the cat.

作者信息

Barone P, Clarey J C, Irons W A, Imig T J

机构信息

Department of Physiology, Kansas University Medical Center, Kansas City 66160-7401, USA.

出版信息

J Neurophysiol. 1996 Mar;75(3):1206-20. doi: 10.1152/jn.1996.75.3.1206.

Abstract
  1. Azimuth and sound pressure level (SPL) tuning to noise stimulation was characterized in single-unit samples obtained from primary auditory cortex (AI) and in areas of the medial geniculate body (MGB) that project to AI. The primary aim of the study was to test the hypothesis that AI is an important site of synthesis of single-unit responses that exhibit both azimuth sensitivity (tendency for directionally restricted responsiveness) and nonmonotonic (NM) level tuning (tendency for decreased responsiveness with increasing SPL). This was accomplished by comparing the proportions of such responses in AI and MGB. 2. Samples consisted of high-best-frequency (BF) single units located in MGB (n = 217) and AI (n = 216) of barbiturate-anesthetized cats. The MGB sample was obtained mainly from recording sites located in two nuclei that project to AI, the ventral nucleus (VN, n = 118) and the lateral part of the posterior group of thalamic nuclei (Po, n = 84). In addition, a few MGB units were obtained from the medial division (n = 8) or uncertain locations (n = 7). Each unit's responses were studied using noise bursts presented from azimuthal sound directions distributed throughout 180 degrees of the frontal hemifield at 0 degrees elevation. SPL was varied over an 80-dB range in steps of < or = 20 dB at each location. Similarities and differences in azimuth and level tuning were evaluated statistically by comparing the AI sample with the entire MGB sample. If they were found to differ, the AI, VN, and Po samples were compared. 3. Azimuth function modulation was used as a measure of azimuth sensitivity, and its mean was greater in AI than in MGB. NM strength was defined as the percentage reduction in level function value at 75 dB SPL and its mean was greater in AI (showing a greater tendency for decreased responsiveness) than in MGB. Azimuth-sensitive (AS) NM units were identified by jointly categorizing each sample according to both azimuth sensitivity (sensitive and insensitive categories) and NM strength (NM and monotonic categories). AS NM units were much more common in the AI sample than in any of the MGB samples, suggesting that some such responses are synthesized in AI. 4. A vast majority of AI NM units have been reported to be AS, showing a preferential association (linkage) between these two response properties. This finding was confirmed in AI, but was not found to be the case in MGB. This suggests that a linkage between these response properties emerges in the cortex, presumably as a result of synthesis of NM AS responses. Although the functional significance of the linkage is unknown, NM responses may reflect excitatory/inhibitory antagonism that provides AS AI neurons with sensitivity to stimulus features beyond that which is present in MGB. 5. Breadth of azimuth tuning of AS cells was measured as the portion of the frontal hemifield over which azimuth function values were > 75% of maximum (preferred azimuth range, PAR). PARs were broadly distributed in each structure, and mean PAR was narrower in AI than in MGB. A preferred level range (PLR) was defined for NM level functions as the range over which values were > 75% of maximum, and mean PLRs were similar in each sample. There was a weak, but significant, positive correlation between PARs and PLRs in AI but not in MGB. This further suggests a linkage between azimuth and level tuning in AI that does not exist in MGB. 6. Best azimuth (midpoint of the PAR) was used to classify cells as contralateral preferring, ipsilateral preferring, midline preferring, or multipeaked. Samples from AI and MGB exhibited similar distributions of these categories. Contralateral-preferring cells represented a majority of each sample, whereass midline-preferring, ipsilateral-preferring, and multipeaked cells each represented smaller proportions. This suggests that the azimuth preference distribution in AI largely reflects that in MGB. 7. A best SPL was defined as the midpoint of the PLR. This wa
摘要
  1. 在从初级听觉皮层(AI)以及投射到AI的内侧膝状体(MGB)区域获取的单神经元样本中,对噪声刺激的方位角和声压级(SPL)调谐特性进行了研究。本研究的主要目的是检验以下假设:AI是单神经元反应合成的重要部位,这些反应既表现出方位角敏感性(定向限制反应倾向)又表现出非单调(NM)水平调谐(随SPL增加反应性降低的倾向)。这是通过比较AI和MGB中此类反应的比例来实现的。2. 样本包括位于巴比妥麻醉猫的MGB(n = 217)和AI(n = 216)中的高最佳频率(BF)单神经元。MGB样本主要从位于投射到AI的两个核团,即腹侧核(VN,n = 118)和丘脑后组外侧部(Po,n = 84)的记录位点获取。此外,少数MGB神经元从内侧部(n = 8)或不确定位置(n = 7)获取。使用从0度仰角的额侧半视野180度分布的方位角声音方向呈现的噪声脉冲来研究每个神经元的反应。在每个位置,SPL在80 dB范围内以≤20 dB的步长变化。通过将AI样本与整个MGB样本进行比较,对方位角和水平调谐的异同进行统计学评估。如果发现它们存在差异,则比较AI、VN和Po样本。3. 方位角函数调制用作方位角敏感性的度量,其平均值在AI中比在MGB中更大。NM强度定义为在75 dB SPL时水平函数值的降低百分比,其平均值在AI中(显示出更大的反应性降低倾向)比在MGB中更大。通过根据方位角敏感性(敏感和不敏感类别)和NM强度(NM和单调类别)对每个样本进行联合分类,识别出方位角敏感(AS)NM神经元。AS NM神经元在AI样本中比在任何MGB样本中都更为常见,这表明某些此类反应是在AI中合成的。4. 据报道,绝大多数AI NM神经元是AS,表明这两种反应特性之间存在优先关联(联系)。这一发现在AI中得到了证实,但在MGB中未发现这种情况。这表明这些反应特性之间的联系出现在皮层中,大概是NM AS反应合成的结果。尽管这种联系的功能意义尚不清楚,但NM反应可能反映了兴奋性/抑制性拮抗作用,为AS AI神经元提供了对MGB中不存在的刺激特征的敏感性。5. AS细胞的方位角调谐宽度被测量为方位角函数值超过最大值的75%的额侧半视野部分(首选方位角范围,PAR)。PAR在每个结构中广泛分布,且AI中的平均PAR比MGB中的更窄。为NM水平函数定义了一个首选水平范围(PLR),即值超过最大值的75%的范围,且每个样本中的平均PLR相似。AI中PAR和PLR之间存在微弱但显著的正相关,而MGB中不存在这种情况。这进一步表明AI中方位角和水平调谐之间存在联系,而MGB中不存在这种联系。6. 最佳方位角(PAR的中点)用于将细胞分类为对侧偏好、同侧偏好、中线偏好或多峰。AI和MGB的样本在这些类别中表现出相似的分布。对侧偏好细胞在每个样本中占多数,而中线偏好、同侧偏好和多峰细胞各自所占比例较小。这表明AI中的方位角偏好分布在很大程度上反映了MGB中的情况。7. 最佳SPL定义为PLR的中点。这是

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