Literature DB >> 7895006

Joint coordination deficits in limb apraxia.

H Poizner1, M A Clark, A S Merians, B Macauley, L J Gonzalez Rothi, K M Heilman.   

Abstract

Competing models of the basis of limb apraxia were tested through analysis of joint coordination deficits in three apraxic subjects with lesions that included the left parietal lobe. Three-dimensional shoulder, elbow, wrist and hand trajectories were recorded for repetitive 'slicing' gestures made in a series of conditions in which contextual cues were introduced in a graded fashion. The apraxic subjects showed marked deficits in joint coordination across context conditions. Even when actually manipulating a tool and object, the apraxic subjects failed to show proper joint synchronization, failed to apportion their relative joint amplitudes properly, and failed to produce the correct phase relationships among pairs of arm angles. Thus, apraxic subjects not only have deficits in the spatial plan for the movement, but they also have deficits in translating those plans into the details of the angular motions at the joints, even when actually manipulating a tool and object. These data support a model of apraxia in which apraxia can result from either the destruction of visuo-kinaesthetic motor representations of learned movement, stored in posterior association cortex, or from a separation of these representations from premotor or motor areas.

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Mesh:

Year:  1995        PMID: 7895006     DOI: 10.1093/brain/118.1.227

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  22 in total

1.  A distributed left hemisphere network active during planning of everyday tool use skills.

Authors:  Scott H Johnson-Frey; Roger Newman-Norlund; Scott T Grafton
Journal:  Cereb Cortex       Date:  2004-09-01       Impact factor: 5.357

2.  Sensory-spatial transformations in the left posterior parietal cortex may contribute to reach timing.

Authors:  Elizabeth B Torres; Anastasia Raymer; Leslie J Gonzalez Rothi; Kenneth M Heilman; Howard Poizner
Journal:  J Neurophysiol       Date:  2010-09-01       Impact factor: 2.714

3.  Towards a healthy human model of neural disorders of movement.

Authors:  Howard Poizner; Jack Lancaster; Eugene Tunik; Shalini Narayana; Crystal Franklin; William Rogers; Xiaoyan Li; Peter T Fox; Donald A Robin
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-01-23       Impact factor: 3.802

4.  Coordination deficits in ideomotor apraxia during visually targeted reaching reflect impaired visuomotor transformations.

Authors:  Pratik K Mutha; Robert L Sainburg; Kathleen Y Haaland
Journal:  Neuropsychologia       Date:  2010-09-25       Impact factor: 3.139

5.  Intracerebral recording of cortical activity related to self-paced voluntary movements: a Bereitschaftspotential and event-related desynchronization/synchronization. SEEG study.

Authors:  Daniela Sochůrková; Ivan Rektor; Pavel Jurák; Andrej Stancák
Journal:  Exp Brain Res       Date:  2006-03-17       Impact factor: 1.972

6.  A common network in the left cerebral hemisphere represents planning of tool use pantomimes and familiar intransitive gestures at the hand-independent level.

Authors:  Gregory Króliczak; Scott H Frey
Journal:  Cereb Cortex       Date:  2009-01-30       Impact factor: 5.357

Review 7.  Towards a computational neuropsychology of action.

Authors:  John W Krakauer; Reza Shadmehr
Journal:  Prog Brain Res       Date:  2007       Impact factor: 2.453

8.  The effect of aging and contextual information on manual asymmetry in tool use.

Authors:  Tea Lulic; Jacquelyn M Maciukiewicz; David A Gonzalez; Eric A Roy; Clark R Dickerson
Journal:  Exp Brain Res       Date:  2018-06-08       Impact factor: 1.972

Review 9.  Limb apraxia and the left parietal lobe.

Authors:  Laurel J Buxbaum; Jennifer Randerath
Journal:  Handb Clin Neurol       Date:  2018

10.  Effects of vibrotactile feedback on human learning of arm motions.

Authors:  Karlin Bark; Emily Hyman; Frank Tan; Elizabeth Cha; Steven A Jax; Laurel J Buxbaum; Katherine J Kuchenbecker
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-06-02       Impact factor: 3.802

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