Speech recovery and language plasticity can be facilitated by Sensori-Motor Fusion training in chronic non-fluent aphasia. A case report study

Haldin, Célise; Acher, Audrey; Kauffmann, Louise; Hueber, Thomas; Cousin, Émilie; Badin, Pierre; Perrier, Michel; Fabre, Diandra; Pérennou, Dominic; Detante, Olivier; Jaillard, Assia; Lœvenbruck, Hélène; Baciu, Monica

doi:10.1080/02699206.2017.1402090

Cited by 13 publications

(5 citation statements)

References 52 publications

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“…Activation was found in the left peri-lesional cortex (Fridriksson et al, 2010b;Mattioli et al, 2014;van Hees et al, 2014a;Zhu et al, 2014), in bilateral regions (Pulvermüller et al, 2005;Fridriksson et al, 2006;Brownsett et al, 2014), and during rs-fMRI (van Hees et al, 2014b). Finally, Haldin et al (2018) used a sensori-motor rehabilitation method in one patient and obtained language improvement associated with increased activity in brain areas outside the language network (i.e., somatosensory areas). Once again, this highlights the complexity of the language process.…”

Section: Chronic Phasementioning

confidence: 95%

Understanding Language Reorganization With Neuroimaging: How Language Adapts to Different Focal Lesions and Insights Into Clinical Applications

Pasquini

Napoli

Rossi‐Espagnet

et al. 2022

Front. Hum. Neurosci.

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When the language-dominant hemisphere is damaged by a focal lesion, the brain may reorganize the language network through functional and structural changes known as adaptive plasticity. Adaptive plasticity is documented for triggers including ischemic, tumoral, and epileptic focal lesions, with effects in clinical practice. Many questions remain regarding language plasticity. Different lesions may induce different patterns of reorganization depending on pathologic features, location in the brain, and timing of onset. Neuroimaging provides insights into language plasticity due to its non-invasiveness, ability to image the whole brain, and large-scale implementation. This review provides an overview of language plasticity on MRI with insights for patient care. First, we describe the structural and functional language network as depicted by neuroimaging. Second, we explore language reorganization triggered by stroke, brain tumors, and epileptic lesions and analyze applications in clinical diagnosis and treatment planning. By comparing different focal lesions, we investigate determinants of language plasticity including lesion location and timing of onset, longitudinal evolution of reorganization, and the relationship between structural and functional changes.

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Section: Chronic Phasementioning

confidence: 95%

Understanding Language Reorganization With Neuroimaging: How Language Adapts to Different Focal Lesions and Insights Into Clinical Applications

Pasquini

Napoli

Rossi‐Espagnet

et al. 2022

Front. Hum. Neurosci.

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“…The InLang database contains data of 13 different linguistic tasks from 7 previously published fMRI protocols (Baciu et al, 2016; Banjac et al, 2020; Grandchamp et al, 2019; Haldin et al, 2018; Hoyau, 2018; Perrone-Bertolotti et al, 2011, 2015, 2017; Perrone-Bertolotti et al, 2012), as well as respective structural MRIs (T1w). In all, 359 functional scans have been acquired between 2010 and 2019 from 150 healthy adults (all right-handed; 64 females: F/86 males: M; Table S1 contains the subjects’ characteristics, by tasks).…”

Section: Methodsmentioning

confidence: 99%

Unraveling the functional attributes of the language connectome: crucial subnetworks, flexibility and variability

Roger

Almeida

Lœvenbruck

et al. 2022

Preprint

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Language processing is a highly integrative function, intertwining linguistic operations (processing the language code intentionally used for communication) and extra-linguistic processes (e.g., attention monitoring, predictive inference, long-term memory). This synergetic cognitive architecture requires a distributed and specialized neural substrate. Brain systems have mostly been examined at rest. However, task-related functional connectivity provides additional and valuable information about how information is processed when various cognitive states are involved. We gathered thirteen language fMRI tasks in a unique database of one hundred and fifty neurotypical adults (InLang database). The tasks were designed to assess a wide range of linguistic processes and subprocesses. From this database, we applied network theory as a computational tool to model the task-related functional connectome of language (LANG). The organization of this data-driven neurocognitive atlas of language is examined at multiple levels, uncovering its major components (or crucial subnetworks) and its anatomical and functional correlates. Furthermore, we estimate its reconfiguration as a function of linguistic demand (flexibility), or several factors such as age or gender (variability). By accounting for the multifaceted nature of language and modulating factors, this study can contribute to enrich and refine existing neurocognitive models of language. The LANG atlas can also be considered as a reference for comparative or clinical studies, involving a variety of patients and conditions.

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“…In addition, across studies, the statistical threshold applied to these contrasts of interest varied. This threshold was sometimes not reported (Marcotte & Ansaldo, 2010;Vitali et al, 2007), and frequently, it was not corrected for multiple comparisons (Abel et al, 2014(Abel et al, , 2015Haldin et al, 2018;Kiran et al, 2015;Marcotte et al, 2013Marcotte et al, , 2018Menke et al, 2009;Thompson, Riley, den Ouden, Meltzer-Asscher, & Lukic, 2013;Vitali et al, 2010;Wan et al, 2014). This again complicates the comparison of response foci across studies.…”

Section: Variability Across Included Studiesmentioning

confidence: 99%

A Review on Treatment-Related Brain Changes in Aphasia

Schevenels

Price

Zink

et al. 2020

Neurobiology of Language

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Numerous studies have investigated brain changes associated with interventions targeting a range of language problems in patients with aphasia. We strive to integrate the results of these studies to examine (1) whether the focus of the intervention (i.e. phonology, semantics, orthography, syntax or rhythmic-melodic) determines in which brain regions changes occur, (2a) whether the most consistent changes occur within the language network or outside, and (2b) whether these are related to individual differences in language outcomes. The results of 32 studies with 204 unique patients were considered. Concerning (1), the location of treatment-related changes does not clearly depend on the type of language processing targeted. However, there is some support that rhythmic-melodic training has more impact on the right hemisphere than linguistic training. Concerning (2), we observed that language recovery is not only associated with changes in traditional language-related structures in the left hemisphere and homolog regions in the right hemisphere. Treatment-related changes also occurred more medially and subcortically (e.g. precuneus and basal ganglia). Although it is difficult to draw strong conclusions, because there is a lack of systematic large-scale studies on this topic, this review highlights the need for an integrated approach to investigate how language interventions impact on the brain. Future studies need to focus on larger samples preserving subject-specific information (such as lesion effects) to cope with the inherent heterogeneity of stroke-induced aphasia. In addition, recovery-related changes in whole-brain connectivity patterns need more investigation to provide a comprehensive neural account of treatment-related brain plasticity and language recovery.

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Speech recovery and language plasticity can be facilitated by Sensori-Motor Fusion training in chronic non-fluent aphasia. A case report study

Cited by 13 publications

References 52 publications

Understanding Language Reorganization With Neuroimaging: How Language Adapts to Different Focal Lesions and Insights Into Clinical Applications

Understanding Language Reorganization With Neuroimaging: How Language Adapts to Different Focal Lesions and Insights Into Clinical Applications

Unraveling the functional attributes of the language connectome: crucial subnetworks, flexibility and variability

A Review on Treatment-Related Brain Changes in Aphasia

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