Structural connectivity in ventral language pathways characterizes non-verbal autism

Olivé, Guillem; Slušná, Dominika; Vaquero, Lucía; Muchart-López, Jordi; Rodrı́guez-Fornells, Antoni; Hinzen, Wolfram

doi:10.1007/s00429-022-02474-1

Cited by 6 publications

(7 citation statements)

References 79 publications

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“…All diffusion images were pre-processed using the FMRIB Software Library (FSL www.fmrib.ox.ac.uk/fsl/fdt ) and the Diffusion Toolkit software (DTK) (Wang et al 2015 ). DWI data were processed as in previous studies from our team (Olivé et al 2022 ; Vaquero et al 2021 ) following these steps: (i) eddy-current correction using the FMRIB Diffusion Toolbox (FDT), part of FMRIB Software Library (FSL www.fmrib.ox.ac.uk/fsl/fdt ); (ii) brain extraction using FSL Brain Extractor Tool (Smith 2002 ; Smith et al 2004 ; Woolrich et al 2009 ) with 0.3 as threshold value; (iii) rotation of the b-vectors; (iv) reconstruction of the diffusion tensors using DTK (Wang et al 2015 ); and (v) whole-brain deterministic tractography using DTK with 35 degrees as maximum curvature and a minimum FA threshold of 0.2.…”

Section: Methodsmentioning

confidence: 99%

“…Manual deterministic tractography was performed on preprocessed images focusing on four main language-related white matter tracts: the three segments of the arcuate (AF), inferior fronto-occipital (IFOF), inferior longitudinal (ILF), and uncinate (UF) fasciculi. These tracts were dissected bilaterally for each patient in native space using the Trackvis software (v.0.6.0.1, http://trackvis.org/ ) by manually placing Regions of Interest (ROI) as described in previous research (Catani and Thiebaut de Schotten 2008 ; see Olivé et al 2022 for ROI placement examples of the tracts dissected here).…”

Section: Methodsmentioning

confidence: 99%

“…uk/ fsl/ fdt) and the Diffusion Toolkit software (DTK) (Wang et al 2015). DWI data were processed as in previous studies from our team (Olivé et al 2022;Vaquero et al 2021) following these steps: (i) eddy-current correction using the FMRIB Diffusion Toolbox (FDT), part of FMRIB Software Library (FSL www. fmrib.…”

Section: Mri Preprocessingmentioning

confidence: 99%

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The right uncinate fasciculus supports verbal short-term memory in aphasia

et al. 2023

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Verbal short-term memory (STM) deficits are associated with language processing impairments in people with aphasia. Importantly, the integrity of STM can predict word learning ability and anomia therapy gains in aphasia. While the recruitment of perilesional and contralesional homologous brain regions has been proposed as a possible mechanism for aphasia recovery, little is known about the white-matter pathways that support verbal STM in post-stroke aphasia. Here, we investigated the relationships between the language-related white matter tracts and verbal STM ability in aphasia. Nineteen participants with post-stroke chronic aphasia completed a subset of verbal STM subtests of the TALSA battery including nonword repetition (phonological STM), pointing span (lexical-semantic STM without language output) and repetition span tasks (lexical-semantic STM with language output). Using a manual deterministic tractography approach, we investigated the micro- and macrostructural properties of the structural language network. Next, we assessed the relationships between individually extracted tract values and verbal STM scores. We found significant correlations between volume measures of the right Uncinate Fasciculus and all three verbal STM scores, with the association between the right UF volume and nonword repetition being the strongest one. These findings suggest that the integrity of the right UF is associated with phonological and lexical-semantic verbal STM ability in aphasia and highlight the potential compensatory role of right-sided ventral white matter language tracts in supporting verbal STM after aphasia-inducing left hemisphere insult.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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The right uncinate fasciculus supports verbal short-term memory in aphasia

et al. 2023

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“…In addition, where language is not compromised on standardised tests in high-functioning ASD, linguistic differences often show up in non-standardised tasks (e.g. narrative discourse: Fine et al 1994; Norbury & Bishop 2003; Bartlett, Armstrong & Roberts 2005; Rumpf et al 2012; Suh et al 2014; Eigsti et al 2016), brain activations or structural pathways for language (Mizuno et al 2011; Stigler et al 2011; Radulescu et al 2013; Mills et al 2015; Moseley et al 2016; Olivé et al 2022), or speech processing anomalies (Klin 1991; Alcántara et al 2004; Kujala, Lepistö & Näätänen 2013; Vouloumanos & Curtin 2014; Foss-Feig et al 2017).…”

Section: Linguistic Diversity In Asdmentioning

confidence: 99%

Modelling non-specific linguistic variation in cognitive disorders

Hinzen¹,

Wiltschko

2022

J. Ling.

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Clinical linguistic diversity extends far beyond ‘specific language’ disorders, such as acquired aphasia or specific language impairment (SLI), to a large range of mental disorders that are not language-specific. As cognitive impairments are involved in the latter, models with an integrated approach to language and cognition can be useful for understanding and classifying the variation in question. The aim of this paper is to specify such a model, called the Bridge model, which views linguistic cognition as resting on two partially pre-linguistic pillars: (i) perceptual categorisation and (ii) social-communicative interaction. Grammar acting as a bridge crossing between them mediates the lexicalisation of perceptual categories and, based on these, new forms of social interaction and communication conveying thought structured by grammar. This model allows to conceptualise mental disorders as different ways in which this integrated linguistic-cognitive phenotype can deviate from its normal course. We illustrate our general model for the specific instance of language variation within autism spectrum disorder (ASD).

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“…Jones et al, 2013). Although this measure does not indicate the real ber count of the tract(Jones et al, 2013), it has been used as a proxy of the tracts' macrostructure in several DTI studies(Catani et al, 2007;Olivé et al, 2022;Wan et al, 2012) and it is thought to be modulated by properties of the tract including ber-packing or myelination(Vaquero et al, 2021). As for microstructure, our DTI marker of interest was fractional anisotropy (FA).…”

mentioning

confidence: 99%

The right uncinate fasciculus supports verbal short-term memory in aphasia

Olivé

Peñaloza

Vaquero

et al. 2022

Preprint

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Verbal short-term memory (STM) deficits are associated with language processing impairments in people with aphasia. Importantly, the integrity of STM can predict word learning ability and anomia therapy gains in aphasia. While the recruitment of perilesional and contralesional homologous brain regions has been proposed as a possible mechanism for aphasia recovery, little is known about the white-matter pathways that support verbal STM in post-stroke aphasia. Here, we investigated the relationships between the language-related white matter tracts and verbal STM ability in aphasia. Nineteen participants with post-stroke chronic aphasia completed a subset of verbal STM subtests of the TALSA battery including nonword repetition (phonological STM), pointing span (lexical-semantic STM without language output) and repetition span tasks (lexical-semantic STM with language output). Using a manual deterministic tractography approach, we investigated the micro- and macrostructural properties of the structural language network. Finally, we assessed the relationships between individually extracted tract values and verbal STM scores. We found significant correlations between volume measures of the right Uncinate Fasciculus and all three verbal STM scores. We also found significant associations between verbal STM scores and the left long segment of the Arcuate, the left Uncinate and the right Inferior Fronto-Occipital Fasciculi, although these did not survive FDR corrections. These findings suggest that the integrity of the right UF is associated with phonological and lexical-semantic verbal STM ability in aphasia and highlight the potential compensatory role of right-sided ventral white matter language tracts in supporting verbal STM after aphasia-inducing left hemisphere insult.

show abstract

Structural connectivity in ventral language pathways characterizes non-verbal autism

Cited by 6 publications

References 79 publications

The right uncinate fasciculus supports verbal short-term memory in aphasia

The right uncinate fasciculus supports verbal short-term memory in aphasia

Modelling non-specific linguistic variation in cognitive disorders

The right uncinate fasciculus supports verbal short-term memory in aphasia

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