Speech deficits in ischaemic cerebellar lesions

Ackermann, Hermann; Vogel, Matthias; Petersen, Dirk; Poremba, M.

doi:10.1007/bf00839144

Cited by 142 publications

(84 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We also observed dysarthria in a patient with concomitant AICA and PICA lesions. Dysarthria was reported in different frequencies in individuals with infarcts in the AICA and PICA territories [43,44,45,46,47]. These differences may be due to the retrospective study design, different frequencies of brainstem involvement and the absence of a standardized evaluation of dysarthria.…”

Section: Discussionmentioning

confidence: 92%

Dysarthria due to Supratentorial and Infratentorial Ischemic Stroke: A Diffusion-Weighted Imaging Study

Kumral

Çelebisoy²,

Çelebisoy³

et al. 2007

Cerebrovasc Dis

View full text Add to dashboard Cite

Background and Purpose: Dysarthria characterized by slurring with imprecise articulation without evidence of aphasia is a frequent symptom in the acute phase of cerebral ischemia, although there is little knowledge on its anatomic specificity and spectrum of associated clinical characteristics regarding diffusion-weighted imaging (DWI). Methods: An investigation of 101 consecutive patients with sudden-onset dysarthria due to a single or multiple lesions on DWI, corresponding to 8.7% of 1,160 patients with ischemic stroke, was made. The presence of lesions of the cranial arteries was sought by magnetic resonance angiography and reviewed with a three-dimensional rotating cineangiographic method. Results: Dysarthria was mostly associated with a supratentorial lesion (63%) and with a classic lacunar stroke syndrome in 45% of patients. Lacunar lesions on DWI were found in 69 (68%) patients, while only 45 of the patients (65%) with a lacunar infarct presented a classic lacunar syndrome with dysarthria. Pure dysarthria occurred in 15% of patients, dysarthria + pure motor hemiparesis in 14%, dysarthria + ataxic hemiparesis in 11%, dysarthria + clumsy hand syndrome in 7%, dysarthria + pure sensory stroke in 3%, dysarthria + central facial paresis in 8% and lingual paresis occurred in 2%. The lesions were due to small-artery disease in 41%, large-artery disease in 15%, cardioembolism in 10% and a mixed etiology in 3%. The cause of stroke was not identified in 17 patients. Lesions on DWI were found mainly in the corona radiata (n = 18), middle cerebral artery territory, including the motor cortex and/or insular cortex (n = 13), striatocaudate nuclei (n = 11), primary motor cortex (n = 10), internal capsule (n = 7), pons (n = 25), pontobulbar junction (n = 5) and the thalamomesencephalic junction (n = 4). Isolated cerebellar infarctions (n = 6) or associated brainstem lesions (n = 6) affected mostly the superior cerebellar artery or the posterior inferior cerebellar artery territory. Conclusion: Cortical involvement was more frequent in patients with pure dysarthria than those with dysarthria and additional neurological signs, while the frequency of pontine involvement was higher in patients with additional neurological signs than those with pure dysarthria. One third of the patients with dysarthria had multiple lesions on DWI, and the most common cause of stroke was small-artery disease. Pure dysarthria, dysarthria with lingual paresis, dysarthria with clumsy hand and dysarthria with facial paresis had predictive value for lacunar lesions.

show abstract

Section: Discussionmentioning

confidence: 92%

Dysarthria due to Supratentorial and Infratentorial Ischemic Stroke: A Diffusion-Weighted Imaging Study

Kumral

Çelebisoy²,

Çelebisoy³

et al. 2007

Cerebrovasc Dis

View full text Add to dashboard Cite

show abstract

“…Based on the lesion study by Ackermann, Vogel, Petersen, and Poremba (1992), the anterior paravermal region of the cerebellar cortex appears to play a role in the motor control of speech. A contribution to speech production by the medial anterior region of the cerebellum is also supported by a study of dysarthria lesions (Urbau et a!., 2003).…”

Section: Syllable Production Fmri Activationsmentioning

confidence: 99%

Neural modeling and imaging of the cortical interactions underlying syllable production

2006

View full text Add to dashboard Cite

This paper describes a neural model of speech acquisition and production that accounts for a wide range of acoustic, kinematic, and neuroimaging data concerning the control of speech movements. The model is a neural network whose components correspond to regions of the cerebral cortex and cerebellum, including premotor, motor, auditory, and somatosensory cortical areas. Computer simulations of the model verify its ability to account for compensation to lip and jaw perturbations during speech. Specific anatomical locations of the model's components are estimated, and these estimates are used to simulate fMRI experiments of simple syllable production with and without jaw perturbations.2

show abstract

“…Furthermore, the cerebellum is known to receive input via the pontine nuclei from premotor cortical areas, as well as from higherorder auditory and somatosensory areas that can provide state information important for choosing motor commands (Schmahmann & Pandya, 1997) and projects heavily to the primary motor cortex (e.g., Middleton & Strick, 1997). Damage to the superior paravermal region of the cerebellar cortex results in ataxic dysarthria, a motor speech disorder characterized by slurred, poorly coordinated speech (Ackermann, Vogel, Petersen, & Poremba, 1992). This finding is in accord with the view that this region is involved in providing the precisely timed feedforward commands necessary for fluent speech.…”

Section: Feedforward Controlmentioning

confidence: 99%

Cortical interactions underlying the production of speech sounds

Guenther

2006

Journal of Communication Disorders

491

434

View full text Add to dashboard Cite

Speech production involves the integration of auditory, somatosensory, and motor information in the brain. This article describes a model of speech motor control in which a feedforward control system, involving premotor and primary motor cortex and the cerebellum, works in concert with auditory and somatosensory feedback control systems that involve both sensory and motor cortical areas. New speech sounds are learned by first storing an auditory target for the sound, then using the auditory feedback control system to control production of the sound in early repetitions. Repeated production of the sound leads to tuning of feedforward commands which eventually supplant the feedback-based control signals. Although parts of the model remain speculative, it accounts for a wide range of kinematic, acoustic, and neuroimaging data collected during speech production and provides a framework for investigating communication disorders that involve malfunction of the cerebral cortex and interconnected subcortical structures.Learning outcomes: Readers will be able to: (1) describe several types of learning that occur in the sensory-motor system during babbling and early speech, (2) identify three neural control subsystems involved in speech production, (3) identify regions of the brain involved in monitoring auditory and somatosensory feedback during speech production, and (4) identify regions of the brain involved in feedforward control of speech. #

show abstract

Speech deficits in ischaemic cerebellar lesions

Cited by 142 publications

References 10 publications

Dysarthria due to Supratentorial and Infratentorial Ischemic Stroke: A Diffusion-Weighted Imaging Study

Dysarthria due to Supratentorial and Infratentorial Ischemic Stroke: A Diffusion-Weighted Imaging Study

Neural modeling and imaging of the cortical interactions underlying syllable production

Cortical interactions underlying the production of speech sounds

Contact Info

Product

Resources

About