Acquired Language Disorder

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Crinion Jenny - One of the best experts on this subject based on the ideXlab platform.

  • NUVA: A Naming Utterance Verifier for Aphasia Treatment
    'Elsevier BV', 2021
    Co-Authors: Barbera, David S., Huckvale Mark, Fleming Victoria, Upton Emily, Coley-fisher Henry, Shaw Ian, Latham William, Leff, Alexander P., Doogan Catherine, Crinion Jenny
    Abstract:

    Anomia (word-finding difficulties) is the hallmark of aphasia, an Acquired Language Disorder most commonly caused by stroke. Assessment of speech performance using picture naming tasks is a key method for both diagnosis and monitoring of responses to treatment interventions by people with aphasia (PWA). Currently, this assessment is conducted manually by speech and Language therapists (SLT). Surprisingly, despite advancements in automatic speech recognition (ASR) and artificial intelligence with technologies like deep learning, research on developing automated systems for this task has been scarce. Here we present NUVA, an utterance verification system incorporating a deep learning element that classifies 'correct' versus' incorrect' naming attempts from aphasic stroke patients. When tested on eight native British-English speaking PWA the system's performance accuracy ranged between 83.6% to 93.6%, with a 10-fold cross-validation mean of 89.5%. This performance was not only significantly better than a baseline created for this study using one of the leading commercially available ASRs (Google speech-to-text service) but also comparable in some instances with two independent SLT ratings for the same dataset

  • NUVA: A Naming Utterance Verifier for Aphasia Treatment
    'Elsevier BV', 2021
    Co-Authors: Barbera, David Sabate, Huckvale Mark, Fleming Victoria, Upton Emily, Coley-fisher Henry, Shaw Ian, Latham William, Leff, Alexander P., Doogan Catherine, Crinion Jenny
    Abstract:

    Anomia (word-finding difficulties) is the hallmark of aphasia, an Acquired Language Disorder most commonly caused by stroke. Assessment of speech performance using picture naming tasks is a key method for both diagnosis and monitoring of responses to treatment interventions by people with aphasia (PWA). Currently, this assessment is conducted manually by speech and Language therapists (SLT). Surprisingly, despite advancements in automatic speech recognition (ASR) and artificial intelligence with technologies like deep learning, research on developing automated systems for this task has been scarce. Here we present NUVA, an utterance verification system incorporating a deep learning element that classifies 'correct' versus' incorrect' naming attempts from aphasic stroke patients. When tested on eight native British-English speaking PWA the system's performance accuracy ranged between 83.6% to 93.6%, with a 10-fold cross-validation mean of 89.5%. This performance was not only significantly better than a baseline created for this study using one of the leading commercially available ASRs (Google speech-to-text service) but also comparable in some instances with two independent SLT ratings for the same dataset.Comment: Under revie

  • An Utterance Verification System for Word Naming Therapy in Aphasia
    'International Speech Communication Association', 2020
    Co-Authors: Barbera, David S., Huckvale Mark, Fleming Victoria, Upton Emily, Coley-fisher Henry, Shaw Ian, Latham William, Leff, Alexander P., Crinion Jenny
    Abstract:

    Anomia (word finding difficulties) is the hallmark of aphasia an Acquired Language Disorder, most commonly caused by stroke. Assessment of speech performance using picture naming tasks is therefore a key method for identification of the Disorder and monitoring patient’s response to treatment interventions. Currently, this assessment is conducted manually by speech and Language therapists (SLT). Surprisingly, despite advancements in ASR and artificial intelligence with technologies like deep learning, research on developing automated systems for this task has been scarce. Here we present an utterance verification system incorporating a deep learning element that classifies ‘correct’/‘incorrect’ naming attempts from aphasic stroke patients. When tested on 8 native British-English speaking aphasics the system’s performance accuracy ranged between 83.6% to 93.6%, with a 10 fold cross validation mean of 89.5%. This performance was not only significantly better than one of the leading commercially available ASRs (Google speech-to-text service) but also comparable in some instances with two independent SLT ratings for the same dataset

Sébire Guillaume - One of the best experts on this subject based on the ideXlab platform.

  • Aphasia owing to subcortical brain infarcts in childhood
    'SAGE Publications', 2005
    Co-Authors: Gout Ariel, Seibel Nathalie, Rouviére Constance, Husson Béatrice, Hermans Brigitte, Laporte Nicole, Kadhim Hazim, Grandin Cécile, Landrieu Pierre, Sébire Guillaume
    Abstract:

    The aim of this study was to further define the clinical features of subcortical aphasia in children with deep brain infarcts and to define the sequelae associated with childhood strokes. We retrospectively studied nine children with left subcortical brain infarcts who presented with Acquired Language Disorder and underwent Language investigations based on standardized tests. Stroke in these patients involved the left internal capsule, lenticular or thalamic nuclei, or a combination of these. Early aphasic manifestations following the deep cerebral infarcts affected Language expression. These included mutism, nonfluent speech, word finding difficulties, and phonemic and semantic paraphasia. Speech comprehension was generally more preserved. All patients subsequently improved, although variably; sequelae such as dysfluency, word finding difficulties, and written Language learning impairment could be detected through standardized tests in six of them (all younger than 6 years at the time of the infarct). Two of the three remaining patients (both older than 6 years at the time of the infarct) had a full recovery. Our study confirms the concept of childhood subcortical aphasia, depicts the linguistic profile in these patients, and sustains the indication of systematic formal Language assessment during the follow-up of all children with subcortical infarct involving the dominant hemisphere.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Sebire G - One of the best experts on this subject based on the ideXlab platform.

  • Aphasia owing to subcortical brain infarcts in childhood
    'SAGE Publications', 2005
    Co-Authors: Gout A, Kadhim Hazim, Grandin Cécile, Seibel N, Rouviere C, Husson B., Hermans Béatrice, Laporte N, Landrieu P., Sebire G
    Abstract:

    The aim of this study was to further define the clinical features of subcortical aphasia in children with deep brain infarcts and to define the sequelae associated with childhood strokes. We retrospectively studied nine children with left subcortical brain infarcts who presented with Acquired Language Disorder and underwent, Language investigations based on standardized tests. Stroke in these patients involved the left internal capsule, lenticular or thalamic nuclei, or a combination of these. Early aphasic manifestations following the deep cerebral infarcts affected Language expression. These included mutism, nonfluent speech, word finding difficulties, and phonemic and semantic paraphasia. Speech comprehension was generally more preserved. All patients subsequently improved, although variably; sequelae such as dysfluency, word finding difficulties, and written Language learning impairment could be detected through standardized tests in six of them (all younger than 6 years at the time of the infarct). Two of the three remaining patients (both older than 6 years at the time of the infarct) had a full recovery. Our study confirms the concept of childhood subcortical aphasia, depicts the linguistic profile in these patients, and sustains the indication of systematic formal Language assessment during the follow-up of all children with subcortical infarct involving the dominant hemisphere

Gregory Hickok - One of the best experts on this subject based on the ideXlab platform.

  • the functional neuroanatomy of Language
    Physics of Life Reviews, 2009
    Co-Authors: Gregory Hickok
    Abstract:

    There has been substantial progress over the last several years in understanding aspects of the functional neuroanatomy of Language. Some of these advances are summarized in this review. It will be argued that recognizing speech sounds is carried out in the superior temporal lobe bilaterally, that the superior temporal sulcus bilaterally is involved in phonological-level aspects of this process, that the frontal/motor system is not central to speech recognition although it may modulate auditory perception of speech, that conceptual access mechanisms are likely located in the lateral posterior temporal lobe (middle and inferior temporal gyri), that speech production involves sensory-related systems in the posterior superior temporal lobe in the left hemisphere, that the interface between perceptual and motor systems is supported by a sensory-motor circuit for vocal tract actions (not dedicated to speech) that is very similar to sensory-motor circuits found in primate parietal lobe, and that verbal short-term memory can be understood as an emergent property of this sensory-motor circuit. These observations are considered within the context of a dual stream model of speech processing in which one pathway supports speech comprehension and the other supports sensory-motor integration. Additional topics of discussion include the functional organization of the planum temporale for spatial hearing and speech-related sensory-motor processes, the anatomical and functional basis of a form of Acquired Language Disorder, conduction aphasia, the neural basis of vocabulary development, and sentence-level/grammatical processing.

Grandin Cécile - One of the best experts on this subject based on the ideXlab platform.

  • Aphasia owing to subcortical brain infarcts in childhood
    'SAGE Publications', 2005
    Co-Authors: Gout Ariel, Seibel Nathalie, Rouviére Constance, Husson Béatrice, Hermans Brigitte, Laporte Nicole, Kadhim Hazim, Grandin Cécile, Landrieu Pierre, Sébire Guillaume
    Abstract:

    The aim of this study was to further define the clinical features of subcortical aphasia in children with deep brain infarcts and to define the sequelae associated with childhood strokes. We retrospectively studied nine children with left subcortical brain infarcts who presented with Acquired Language Disorder and underwent Language investigations based on standardized tests. Stroke in these patients involved the left internal capsule, lenticular or thalamic nuclei, or a combination of these. Early aphasic manifestations following the deep cerebral infarcts affected Language expression. These included mutism, nonfluent speech, word finding difficulties, and phonemic and semantic paraphasia. Speech comprehension was generally more preserved. All patients subsequently improved, although variably; sequelae such as dysfluency, word finding difficulties, and written Language learning impairment could be detected through standardized tests in six of them (all younger than 6 years at the time of the infarct). Two of the three remaining patients (both older than 6 years at the time of the infarct) had a full recovery. Our study confirms the concept of childhood subcortical aphasia, depicts the linguistic profile in these patients, and sustains the indication of systematic formal Language assessment during the follow-up of all children with subcortical infarct involving the dominant hemisphere.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

  • Aphasia owing to subcortical brain infarcts in childhood
    'SAGE Publications', 2005
    Co-Authors: Gout A, Kadhim Hazim, Grandin Cécile, Seibel N, Rouviere C, Husson B., Hermans Béatrice, Laporte N, Landrieu P., Sebire G
    Abstract:

    The aim of this study was to further define the clinical features of subcortical aphasia in children with deep brain infarcts and to define the sequelae associated with childhood strokes. We retrospectively studied nine children with left subcortical brain infarcts who presented with Acquired Language Disorder and underwent, Language investigations based on standardized tests. Stroke in these patients involved the left internal capsule, lenticular or thalamic nuclei, or a combination of these. Early aphasic manifestations following the deep cerebral infarcts affected Language expression. These included mutism, nonfluent speech, word finding difficulties, and phonemic and semantic paraphasia. Speech comprehension was generally more preserved. All patients subsequently improved, although variably; sequelae such as dysfluency, word finding difficulties, and written Language learning impairment could be detected through standardized tests in six of them (all younger than 6 years at the time of the infarct). Two of the three remaining patients (both older than 6 years at the time of the infarct) had a full recovery. Our study confirms the concept of childhood subcortical aphasia, depicts the linguistic profile in these patients, and sustains the indication of systematic formal Language assessment during the follow-up of all children with subcortical infarct involving the dominant hemisphere