TL;DR: In this article, the authors define, understand, and categorize motor speech disorders, and present a classification of the disorders based on the following: 1. Defining, Understanding, and Categorizing Motor Speech Disorders 2. Neurologic Bases of Motor Speech and its Pathologies 3. Examination of motor Speech disorders Part 2: The Disorders and their Diagnoses 4.
Abstract: Part 1: Substrates 1. Defining, Understanding, and Categorizing Motor Speech Disorders 2. Neurologic Bases of Motor Speech and its Pathologies 3. Examination of Motor Speech Disorders Part 2: The Disorders and Their Diagnoses 4. Flaccid Dysarthria 5. Spastic Dysarthria 6. Ataxic Dysarthria 7. Hypokinetic Dysarthria 8. Hyperkinetic Dysarthria 9. Unilateral Upper Motor Neuron Dysarthria 10. Mixed Dysarthrias 11. Apraxia of Speech 12. Neurogenic Mutism 13. Other Neurogenic Speech Disturbances 14. Acquired Psychogenic Speech Disturbances 15. Differential Diagnosis Part 3: Management 16. Managing Motor Speech Disorders: General Principles 17. Managing the Dysarthrias 18. Managing Apraxia of Speech 19. Managing Other Neurogenic Speech Disturbances 20. Managing Acquired Psychogenic Speech Disorders
TL;DR: The neurologist will find the chapters on principles of neurologic function and hierarchy of motor organization rather basic and many speech pathologists may find the section on motor speech examination somewhat devoid of detail.
Abstract: The authors have limited consideration of motor speech disorders to dysarthrias of neurogenic nature. Aphasias (defined by the authors as problems of processing and symbolic formulation of the language code) are excluded. So are the deviant patterns of speech, such as developmental disorders of articulation and those disorders arising from structural impairments, such as cleft palate. A short but useful review of the basic motor process of speech production and its evaluation by clinical and other techniques is included. A more detailed description of relatively unfamiliar methods, such as palatography and videofluoroscopy would have been desirable. The neurologist will find the chapters on principles of neurologic function and hierarchy of motor organization rather basic. Other specialists may find these useful. On the other hand, many speech pathologists may find the section on motor speech examination somewhat devoid of detail. A disproportionately large space is allotted to the examination of the
TL;DR: It is demonstrated that a multidimensional quantification of connected speech production is necessary to characterize the differences between the speech patterns of each primary progressive aphasic variant adequately, and to reveal associations between particular aspects ofconnected speech and specific components of the neural network for speech production.
Abstract: Primary progressive aphasia is a clinical syndrome defined by progressive deficits isolated to speech and/or language, and can be classified into non-fluent, semantic and logopenic variants based on motor speech, linguistic and cognitive features. The connected speech of patients with primary progressive aphasia has often been dichotomized simply as ‘fluent’ or ‘non-fluent’, however fluency is a multidimensional construct that encompasses features such as speech rate, phrase length, articulatory agility and syntactic structure, which are not always impacted in parallel. In this study, our first objective was to improve the characterization of connected speech production in each variant of primary progressive aphasia, by quantifying speech output along a number of motor speech and linguistic dimensions simultaneously. Secondly, we aimed to determine the neuroanatomical correlates of changes along these different dimensions. We recorded, transcribed and analysed speech samples for 50 patients with primary progressive aphasia, along with neurodegenerative and normal control groups. Patients were scanned with magnetic resonance imaging, and voxel-based morphometry was used to identify regions where atrophy correlated significantly with motor speech and linguistic features. Speech samples in patients with the non-fluent variant were characterized by slow rate, distortions, syntactic errors and reduced complexity. In contrast, patients with the semantic variant exhibited normal rate and very few speech or syntactic errors, but showed increased proportions of closed class words, pronouns and verbs, and higher frequency nouns, reflecting lexical retrieval deficits. In patients with the logopenic variant, speech rate (a common proxy for fluency) was intermediate between the other two variants, but distortions and syntactic errors were less common than in the non-fluent variant, while lexical access was less impaired than in the semantic variant. Reduced speech rate was linked with atrophy to a wide range of both anterior and posterior language regions, but specific deficits had more circumscribed anatomical correlates. Frontal regions were associated with motor speech and syntactic processes, anterior and inferior temporal regions with lexical retrieval, and posterior temporal regions with phonological errors and several other types of disruptions to fluency. These findings demonstrate that a multidimensional quantification of connected speech production is necessary to characterize the differences between the speech patterns of each primary progressive aphasic variant adequately, and to reveal associations between particular aspects of connected speech and specific components of the neural network for speech production.
TL;DR: Examining the effect of cortical damage and disconnection involving the dorsal and ventral streams on aphasic impairment reveals that measures of motor speech impairment mostly involve damage to the dorsal stream, whereas measures of impaired speech comprehension are more strongly associated with ventral stream involvement.
Abstract: In most cases, aphasia is caused by strokes involving the left hemisphere, with more extensive damage typically being associated with more severe aphasia. The classical model of aphasia commonly adhered to in the Western world is the Wernicke-Lichtheim model. The model has been in existence for over a century, and classification of aphasic symptomatology continues to rely on it. However, far more detailed models of speech and language localization in the brain have been formulated. In this regard, the dual stream model of cortical brain organization proposed by Hickok and Poeppel is particularly influential. Their model describes two processing routes, a dorsal stream and a ventral stream, that roughly support speech production and speech comprehension, respectively, in normal subjects. Despite the strong influence of the dual stream model in current neuropsychological research, there has been relatively limited focus on explaining aphasic symptoms in the context of this model. Given that the dual stream model represents a more nuanced picture of cortical speech and language organization, cortical damage that causes aphasic impairment should map clearly onto the dual processing streams. Here, we present a follow-up study to our previous work that used lesion data to reveal the anatomical boundaries of the dorsal and ventral streams supporting speech and language processing. Specifically, by emphasizing clinical measures, we examine the effect of cortical damage and disconnection involving the dorsal and ventral streams on aphasic impairment. The results reveal that measures of motor speech impairment mostly involve damage to the dorsal stream, whereas measures of impaired speech comprehension are more strongly associated with ventral stream involvement. Equally important, many clinical tests that target behaviours such as naming, speech repetition, or grammatical processing rely on interactions between the two streams. This latter finding explains why patients with seemingly disparate lesion locations often experience similar impairments on given subtests. Namely, these individuals' cortical damage, although dissimilar, affects a broad cortical network that plays a role in carrying out a given speech or language task. The current data suggest this is a more accurate characterization than ascribing specific lesion locations as responsible for specific language deficits.5705668782001awx363media15705668782001.