Abstract:
:In the context of an analysis concerning factors of importance for the relative contributions of recruitment and rate gradation of muscle force, the distribution of electrical excitability was analyzed for medial gastrocnemius (MG) motoneurones of rat and cat. The experimental data came from previously collected intracellular measurements in animals anaesthetized with pentobarbitone. Electrical excitability was measured as the threshold (nanoamperes) for single spike generation (rheobase) in rat and for maintained repetitive firing (rhythmic threshold) in cat. Furthermore, the data included measurements of axonal conduction velocity and of contractile properties of the muscle units innervated by the studied motoneurones. The units were categorized into types S (slow-twitch, fatigue-resistant), FR (fast-twitch, fatigue-resistant) and FF (fast-twitch, fatiguable) on the basis of the combined criteria of twitch-speed and sensitivity to fatigue. We confirmed that, in spite of the presence of normal-looking symmetrical distributions of axonal conduction velocity, there was a positive skew in the distribution of electrical excitability (relatively high numbers of cells with low thresholds, few with high ones). Within each unit category (S, FR, FF), we ranked the motoneurones according to their relative electrical excitability and calculated the threshold difference between consecutive cells ("threshold spacing"). In accordance with the skewed distribution of electrical excitability, we found that the mean threshold spacing was ranked in the same way as the mean thresholds, i.e. S < FR < FF; the statistical analysis showed that, for cats as well as rats, small threshold spacing steps were significantly more common for S than for FF motoneurones.(ABSTRACT TRUNCATED AT 250 WORDS)
journal_name
Exp Brain Resjournal_title
Experimental brain researchauthors
Bakels R,Kernell Ddoi
10.1007/BF00232439subject
Has Abstractpub_date
1994-01-01 00:00:00pages
69-74issue
1eissn
0014-4819issn
1432-1106journal_volume
102pub_type
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