Capturing multidimensionality in stroke aphasia: mapping principal behavioural components to neural structures

Butler, Rebecca; Ralph, Matthew A. Lambon; Woollams, Anna M.

doi:10.1093/brain/awu286

Cited by 176 publications

(277 citation statements)

References 91 publications

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“…The dual stream model clearly suggests that brain damage can differentially affect the dorsal and ventral pathways, and this has been validated in recent lesion-symptom mapping studies (Butler, Lambon Ralph, & Woollams, 2014). This is obviously a factor that will have some impact on the relative effectiveness of phonological versus semantic treatment strategies.…”

mentioning

confidence: 83%

“…Two native English speaking, right-handed males (DM and JS) with chronic stroke aphasia were recruited from a larger study concerning the role of white matter connectivity in chronic stroke aphasia (Butler, et al, 2014). Both patients had a single left-hemisphere stroke, more than one year previous, resulting in chronic stroke aphasia.…”

Section: Patientsmentioning

confidence: 99%

“…Table 1 provides demographic information and summarises the performance of the patients on a variety of neuropsychological tests. For those neuropsychological tasks without published normative data, Butler et al (2014), collected control data from healthy control participants (three females, 10 males): mean age = 68.69 years (SD = 6.55), range = 59-80 years; mean years of education = 12.55(SD = 2.38), range = 10-17 years.…”

Section: Patientsmentioning

confidence: 99%

“…Patients' imaging data were acquired as part of a larger case series study by Butler, Lambon Ralph, and Woollams (2014). All scans were acquired on a 3T Philips Achieva scanner (Philips Healthcare, Best, The Netherlands) using an 8-element SENSE head coil.…”

Section: Acquisition Of Imaging Datamentioning

confidence: 99%

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The impact of phonological versus semantic repetition training on generalisation in chronic stroke aphasia reflects differences in dorsal pathway connectivity

Holland

Johns

Woollams

2016

Neuropsychological Rehabilitation

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confidence: 83%

Section: Patientsmentioning

confidence: 99%

Section: Patientsmentioning

confidence: 99%

Section: Acquisition Of Imaging Datamentioning

confidence: 99%

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The impact of phonological versus semantic repetition training on generalisation in chronic stroke aphasia reflects differences in dorsal pathway connectivity

Holland

Johns

Woollams

2016

Neuropsychological Rehabilitation

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“…Other studies have used a principal components analysis (PCA) step as part of the analysis relating localized brain damage to behavioral impairment (19,31,32). However, those studies differed from this approach in that each carried out PCA on the behavioral data and then, included the components as dependent factors in a voxel-based lesion-symptom mapping (VLSM) analysis.…”

Section: Significancementioning

confidence: 99%

Revealing the dual streams of speech processing

Fridriksson

Yourganov

Bonilha

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

139

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Several dual route models of human speech processing have been proposed suggesting a large-scale anatomical division between cortical regions that support motor-phonological aspects vs. lexical-semantic aspects of speech processing. However, to date, there is no complete agreement on what areas subserve each route or the nature of interactions across these routes that enables human speech processing. Relying on an extensive behavioral and neuroimaging assessment of a large sample of stroke survivors, we used a data-driven approach using principal components analysis of lesionsymptom mapping to identify brain regions crucial for performance on clusters of behavioral tasks without a priori separation into task types. Distinct anatomical boundaries were revealed between a dorsal frontoparietal stream and a ventral temporal-frontal stream associated with separate components. Collapsing over the tasks primarily supported by these streams, we characterize the dorsal stream as a form-to-articulation pathway and the ventral stream as a form-to-meaning pathway. This characterization of the division in the data reflects both the overlap between tasks supported by the two streams as well as the observation that there is a bias for phonological production tasks supported by the dorsal stream and lexical-semantic comprehension tasks supported by the ventral stream. As such, our findings show a division between two processing routes that underlie human speech processing and provide an empirical foundation for studying potential computational differences that distinguish between the two routes.aphasia | speech production | speech comprehension | voxel-based lesionsymptom mapping | speech processing U nderstanding how and where in the brain speech processing occurs has been the focus of concerted scientific endeavor for over one and a half centuries. The most influential model of the neuroanatomical basis of speech processing was proposed by Wernicke (1) and later refined by Lichtheim (2)-the WernickeLichtheim (W-L) model. The W-L model includes two separate routes from a posterior auditory comprehension center to an anterior motor speech production center: a direct route that enables speech repetition and an indirect route via ideation that mediates comprehension and propositional speech. More recently, dual route processing has been recognized as a central principle in the functional organization of the brain. Ungerleider and Mishkin (3) proposed that visual perception in primates is supported by a ventral "what" stream (involving an occipital-temporal lobe route) and a dorsal "where" stream [or later, a "how" stream mediated by an occipital-parietal route (4)]. Similarly, in the auditory domain (5), Rauschecker and Tian (6) proposed a "dual stream" model to account for the identification of what was being heard and from where the sound originated (5, 6). This model, mostly derived from nonhuman primate data, distinguishes between an anterior/ ventral route ("what" stream) involving connections from the left posterior superio...

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Exploring the brain's structural connectome: A quantitative stroke lesion‐dysfunction mapping study

Kuceyeski

Navi

Kamel

et al. 2015

Human Brain Mapping

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The aim of this work was to quantitatively model cross-sectional relationships between structural connectome disruptions caused by cerebral infarction and measures of clinical performance. Imaging biomarkers of 41 ischemic stroke patients (72.0±12.0 years, 20 female) were related to their baseline performance in 18 cognitive, physical and daily life activity assessments. Individual estimates of structural connectivity disruption in gray matter regions were computed using the Change in Connectivity (ChaCo) score. ChaCo scores were utilized because they can be calculated using routinely collected clinical MRIs. Partial Least Squares Regression (PLSR) was used to predict various acute impairment and activity measures from ChaCo scores and patient demographics. Statistical methods of cross-validation, bootstrapping and multiple comparisons correction were implemented to minimize over-fitting and Type I errors. Multiple linear regression models based on lesion volume and lateralization information were constructed for comparison. All models based on connectivity disruption had lower Akaike Information Criterion and almost all had better goodness-of-fit values (R2:0.26-0.92) than models based on lesion characteristics (R2:0.06-0.50). Confidence intervals of PLSR coefficients identified brain regions important in predicting each clinical assessment. Appropriate mapping of eloquent functions, i.e. language and motor, and replication of results across pathologies provided validation of this method. Models of complex functions provided new insights into brain-behavior relationships. In addition to the potential applications in prognostication and rehabilitation development, this quantitative approach provides insight into the structural networks underlying complex functions like activities of daily living and cognition. Quantitative analysis of big data will be invaluable in understanding complex brain-behavior relationships.

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Capturing multidimensionality in stroke aphasia: mapping principal behavioural components to neural structures

Cited by 176 publications

References 91 publications

The impact of phonological versus semantic repetition training on generalisation in chronic stroke aphasia reflects differences in dorsal pathway connectivity

The impact of phonological versus semantic repetition training on generalisation in chronic stroke aphasia reflects differences in dorsal pathway connectivity

Revealing the dual streams of speech processing

Exploring the brain's structural connectome: A quantitative stroke lesion‐dysfunction mapping study

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