کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6255959 1612922 2016 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Research reportHigh-speed video gait analysis reveals early and characteristic locomotor phenotypes in mouse models of neurodegenerative movement disorders
ترجمه فارسی عنوان
تحلیلی تحقیق تجزیه و تحلیل راه رفتن ویدئویی با سرعت بالا نشان می دهد فنوتیپ های زودرس و مشخص حرکتی در مدل موش از اختلالات حرکتی عصبی
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب رفتاری
چکیده انگلیسی


- Full body high-speed video gait analysis increases specificity in motor testing.
- Comprehensive locomotor profiles are generated by a custom-built algorithm.
- Gait patterns of ALS, Huntington and cerebellar ataxia models differ substantially.
- Early and specific gait changes were found for each of the three models analyzed.
- Analysis of locomotor function is essential for the development of new therapies.

Neurodegenerative diseases of the central nervous system frequently affect the locomotor system resulting in impaired movement and gait. In this study we performed a whole-body high-speed video gait analysis in three different mouse lines of neurodegenerative movement disorders to investigate the motor phenotype. Based on precise computerized motion tracking of all relevant joints and the tail, a custom-developed algorithm generated individual and comprehensive locomotor profiles consisting of 164 spatial and temporal parameters. Gait changes observed in the three models corresponded closely to the classical clinical symptoms described in these disorders: Muscle atrophy due to motor neuron loss in SOD1 G93A transgenic mice led to gait characterized by changes in hind-limb movement and positioning. In contrast, locomotion in huntingtin N171-82Q mice modeling Huntington's disease with basal ganglia damage was defined by hyperkinetic limb movements and rigidity of the trunk. Harlequin mutant mice modeling cerebellar degeneration showed gait instability and extensive changes in limb positioning. Moreover, model specific gait parameters were identified and were shown to be more sensitive than conventional motor tests. Altogether, this technique provides new opportunities to decipher underlying disease mechanisms and test novel therapeutic approaches.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Behavioural Brain Research - Volume 311, 15 September 2016, Pages 340-353
نویسندگان
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