Principal component analysis-based latent-space dimensionality under-estimation, with uncorrelated latent variables

Article Clinical Neurology

The low dimensionality of post-stroke cognitive deficits: it's the lesion anatomy!

Christoph Sperber et al.

Summary: For years, dissociation studies on neurological single-case patients with brain lesions were used to infer cognitive functions in neuropsychology, but the association between deficits was considered of less value. In contrast, computational methods such as principal component analysis became popular for identifying cognitive functions in stroke patients. However, the anatomy of stroke lesions alone influenced the dimensionality of data and limited the interpretability of cognitive deficits and insights into human cognitive architecture. It is suggested to use qualitative criteria and dissociation patterns to refine estimates and optimize interpretation strategies in cognitive deficit studies.

BRAIN (2023)

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Article Neuroimaging

Mapping spoken language and cognitive deficits in post-stroke aphasia

Haya Akkad et al.

Summary: Aphasia is an acquired disorder resulting from brain damage, most commonly caused by stroke, which affects speech and language. In addition to language impairment, nonlanguage cognitive deficits play a significant role in predicting rehabilitation and recovery outcomes. However, there is a lack of testing on higher-order cognitive functions in people with aphasia, making it difficult to establish consistent associations between these functions and brain lesions.

NEUROIMAGE-CLINICAL (2023)

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Article Behavioral Sciences

Efficient and effective assessment of deficits and their neural bases in stroke aphasia

Ajay D. Halai et al.

Summary: This study compared different types of multi-assessment batteries and tested a new data-driven reduced version. The results showed that the data-driven battery can save time while maintaining sensitivity, ability to grade deficits, and the underlying component structure observed in post-stroke aphasia.

CORTEX (2022)

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Article Clinical Neurology

Assessing and mapping language, attention and executive multidimensional deficits in stroke aphasia

Rahel Schumacher et al.

BRAIN (2019)

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Article Psychology, Biological

Behavioural clusters and predictors of performance during recovery from stroke

L. E. Ramsey et al.

NATURE HUMAN BEHAVIOUR (2017)

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Article Behavioral Sciences

Using principal component analysis to capture individual differences within a unified neuropsychological model of chronic post-stroke aphasia: Revealing the unique neural correlates of speech fluency, phonology and semantics

Ajay D. Halai et al.

CORTEX (2017)

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Principal component analysis-based latent-space dimensionality under-estimation, with uncorrelated latent variables

相关参考文献

The low dimensionality of post-stroke cognitive deficits: it's the lesion anatomy!

Mapping spoken language and cognitive deficits in post-stroke aphasia

Efficient and effective assessment of deficits and their neural bases in stroke aphasia

Assessing and mapping language, attention and executive multidimensional deficits in stroke aphasia

Behavioural clusters and predictors of performance during recovery from stroke

Using principal component analysis to capture individual differences within a unified neuropsychological model of chronic post-stroke aphasia: Revealing the unique neural correlates of speech fluency, phonology and semantics

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