AIMC Topic: Aphasia

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Post-stroke aphasia analysis using topological alterations in brain functional networks.

Journal of neural engineering Jul 24, 2025
. Nearly one-third of stroke patients develop aphasia. Although the function of classical language areas (e.g. Broca's area, Wernicke's area) has been widely characterized, the network reorganization mechanisms behind specific language dysfunctions i...
Male Middle Aged Magnetic Resonance Imaging Aphasia Stroke Nerve Net Humans Aged Brain Adult Female
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Aphasia severity prediction using a multi-modal machine learning approach.

NeuroImage Jun 17, 2025
The present study examined an integrated multiple neuroimaging modality (T1 structural, Diffusion Tensor Imaging (DTI), and resting-state FMRI (rsFMRI)) to predict aphasia severity using Western Aphasia Battery-Revised Aphasia Quotient (WAB-R AQ) in ...
Aged Adult Male Middle Aged Machine Learning Brain Female Stroke Severity of Illness Index Neuroimaging Diffusion Tensor Imaging Humans Magnetic Resonance Imaging Aphasia Multimodal Imaging
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Machine Learning Predictions of Recovery in Bilingual Poststroke Aphasia: Aligning Insights With Clinical Evidence.

Stroke Jan 2, 2025
BACKGROUND: Predicting treated language improvement (TLI) and transfer to the untreated language (cross-language generalization, CLG) after speech-language therapy in bilingual individuals with poststroke aphasia is crucial for personalized treatment...
Machine Learning Female Aged Adult Humans Recovery of Function Stroke Multilingualism Stroke Rehabilitation Male Middle Aged Treatment Outcome Aphasia Language Therapy
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AI-assisted assessment and treatment of aphasia: a review.

Frontiers in public health Aug 29, 2024
Aphasia is a language disorder caused by brain injury that often results in difficulties with speech production and comprehension, significantly impacting the affected individuals' lives. Recently, artificial intelligence (AI) has been advancing in m...
Humans Artificial Intelligence Machine Learning Natural Language Processing Aphasia
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Clinical efficacy of pre-trained large language models through the lens of aphasia.

Scientific reports Jul 6, 2024
The rapid development of large language models (LLMs) motivates us to explore how such state-of-the-art natural language processing systems can inform aphasia research. What kind of language indices can we derive from a pre-trained LLM? How do they d...
Natural Language Processing Aphasia Language Models, Theoretical Humans
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Discourse- and lesion-based aphasia quotient estimation using machine learning.

NeuroImage. Clinical Apr 6, 2024
Discourse is a fundamentally important aspect of communication, and discourse production provides a wealth of information about linguistic ability. Aphasia commonly affects, in multiple ways, the ability to produce discourse. Comprehensive aphasia as...
Magnetic Resonance Imaging Neuropsychological Tests Language Tests Aphasia Adult Male Middle Aged Brain Female Aged Humans Machine Learning
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Machine learning-based multimodal prediction of language outcomes in chronic aphasia.

Human brain mapping Dec 30, 2020
Recent studies have combined multiple neuroimaging modalities to gain further understanding of the neurobiological substrates of aphasia. Following this line of work, the current study uses machine learning approaches to predict aphasia severity and ...
Language Tests Aphasia Neuroimaging Cerebrovascular Circulation Diffusion Tensor Imaging Adult Male Middle Aged Severity of Illness Index Female Aged Aged, 80 and over Multimodal Imaging Chronic Disease Stroke Humans Outcome Assessment, Health Care Functional Neuroimaging Support Vector Machine Magnetic Resonance Imaging
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Identifiable Patterns of Trait, State, and Experience in Chronic Stroke Recovery.

Neurorehabilitation and neural repair Dec 22, 2020
BACKGROUND: Considerable evidence indicates that the functional connectome of the healthy human brain is highly stable, analogous to a fingerprint.
Aged Adult Male Magnetic Resonance Imaging Chronic Disease Middle Aged Support Vector Machine Humans Female Connectome Stroke Rehabilitation Aphasia Language Therapy Ischemic Stroke Outcome Assessment, Health Care Individuality
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An Efficient Deep Learning Based Method for Speech Assessment of Mandarin-Speaking Aphasic Patients.

IEEE journal of biomedical and health informatics Nov 4, 2020
Speech assessment is an important part of the rehabilitation process for patients with aphasia (PWA). Mandarin speech lucidity features such as articulation, fluency, and tone influence the meaning of the spoken utterance and overall speech clarity. ...
Humans Aphasia Deep Learning Neural Networks, Computer Speech Language
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The neural and neurocomputational bases of recovery from post-stroke aphasia.

Nature reviews. Neurology Nov 26, 2019
Language impairment, or aphasia, is a disabling symptom that affects at least one third of individuals after stroke. Some affected individuals will spontaneously recover partial language function. However, despite a growing number of investigations, ...
Recovery of Function Humans Stroke Neural Networks, Computer Brain Aphasia
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