Diffusion-tensor imaging of major white matter tracts and their role in language processing in aphasia

Ivanova, Maria V.; Isaev, Dmitry; Dragoy, Olga; Yulia, Akinina; Petrushevskiy, Alexey G.; Fedina, O. N.; Shklovsky, V. M.; Dronkers, Nina F.

doi:10.1016/j.cortex.2016.04.019

Cited by 182 publications

(166 citation statements)

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“…More recent analyses of diffusion imaging data from aphasic individuals examining the functional significance of tract segments (rather than whole tracts) revealed a more complex picture, with portions of the dorsal AF and ventral ILF and IFOF associated with deficits in both language production and comprehension (Ivanova et al, 2016). As studies using diffusion imaging in brain-injured individuals evolve, the field will continue its examination of the role of fiber pathways in the processing of language.…”

Section: Diffusion Mrimentioning

confidence: 99%

“…Temporal tracts, such as the inferior longitudinal fasciculus (ILF), inferior frontal-occipital fasciculus (IFOF), and potentially also the uncinate fasciculus (UF) and middle longitudinal fasciculus, have been shown to be mainly involved in language comprehension (Ivanova et al, 2016;Kümmerer et al, 2013).…”

Section: Diffusion Mrimentioning

confidence: 99%

“…First and foremost is that injury to one area of the brain almost certainly affects other regions as well. Hypoperfusion, structural and functional disconnections to other areas, and changes within the attentional system are some of the indirect effects associated with brain injuries, even focal ones (e.g., Ivanova et al, 2016;Jarso et al, 2013;Nadeau & Crosson, 1997;Turken & Dronkers, 2011). These factors are not typically seen on standard clinical images, and additional measures need to be performed to account for such effects.…”

Section: Resting State Fmrimentioning

confidence: 99%

“…Studies using DTI techniques and various types of tractography in patients with acquired brain damage have shown that tracts, such as the arcuate fasciculus (AF), contribute to distinct language production behaviors (Ivanova et al, 2016), particularly mapping sounds with articulatory (motor) stereotypes (Breier, Hasan, Zhang, Men, & Papanicolaou, 2008;Kümmerer et al, 2013), and the processing of complex syntax (Grossman et al, 2013;Wilson et al, 2011). Temporal tracts, such as the inferior longitudinal fasciculus (ILF), inferior frontal-occipital fasciculus (IFOF), and potentially also the uncinate fasciculus (UF) and middle longitudinal fasciculus, have been shown to be mainly involved in language comprehension (Ivanova et al, 2016;Kümmerer et al, 2013).…”

Section: Diffusion Mrimentioning

confidence: 99%

See 3 more Smart Citations

What Do Language Disorders Reveal about Brain–Language Relationships? From Classic Models to Network Approaches

Dronkers

Ivanova

Baldo

2017

J Int Neuropsychol Soc

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Studies of language disorders have shaped our understanding of brain-language relationships over the last two centuries. This article provides a review of this research and how our thinking has changed over the years regarding how the brain processes language. In the 19th century, a series of famous case studies linked distinct speech and language functions to specific portions of the left hemisphere of the brain, regions that later came to be known as Broca's and Wernicke's areas. One hundred years later, the emergence of new brain imaging tools allowed for the visualization of brain injuries in vivo that ushered in a new era of brain-behavior research and greatly expanded our understanding of the neural processes of language. Toward the end of the 20th century, sophisticated neuroimaging approaches allowed for the visualization of both structural and functional brain activity associated with language processing in both healthy individuals and in those with language disturbance. More recently, language is thought to be mediated by a much broader expanse of neural networks that covers a large number of cortical and subcortical regions and their interconnecting fiber pathways. Injury to both grey and white matter has been seen to affect the complexities of language in unique ways that have altered how we think about brain-language relationships. The findings that support this paradigm shift are described here along with the methodologies that helped to discover them, with some final thoughts on future directions, techniques, and treatment interventions for those with communication impairments. (JINS, 2017, 23, 741-754)

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Section: Diffusion Mrimentioning

confidence: 99%

Section: Diffusion Mrimentioning

confidence: 99%

Section: Resting State Fmrimentioning

confidence: 99%

Section: Diffusion Mrimentioning

confidence: 99%

See 2 more Smart Citations

What Do Language Disorders Reveal about Brain–Language Relationships? From Classic Models to Network Approaches

Dronkers

Ivanova

Baldo

2017

J Int Neuropsychol Soc

Self Cite

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“…23) Previous DTI studies of aphasia caused by stroke reported that FA decreased in the left arcuate fasciculus and adjacent white matter fibers. 5,[27][28][29][30][31][32] In accordance with these previous findings, we set ROIs to include the arcuate fasciculus as defined in the skeletonized FA images (shown in Fig. 1).…”

Section: Image Processingmentioning

confidence: 99%

Reduced Diffusion Tensor Fractional Anisotropy in the Left Arcuate Fasciculus of Patients with Aphasia Caused by Acute Cerebral Infarct

Koyama

Domen

2016

PRM

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INTRODUCTIONAphasia is a common symptom in the acute stage following cerebral infarct. 1) Recent neuroimaging studies have revealed many aspects of the neuropathology of aphasia. 2,3) Aphasia is often associated with lesions within language-related cortical regions such as Wernicke's and Broca's areas or within the neural fiber networks connecting these regions. 4,5) However, the contributions of specific tracts remain unclear, in part because white matter tract disruption cannot be detected by classical neuroimaging modalities. In contrast to classical neuroimaging techniques, magnetic resonance diffusion tensor imaging (DTI) enables the assessment of neural fiber integrity in vivo. 6) Consequently, DTI may be a useful tool for identifying the subcortical white matter structures responsible for aphasia.Most recent DTI studies of aphasia caused by cerebral infarct have investigated patients in the chronic stage. [7][8][9][10] However, patients with aphasia show various patterns of recovery during the months and years after stroke, 11,12) partially resulting from compensation and/or neural plasticity among language-related and other brain areas. 13-15) Accordingly, DTI studies of patients in the chronic phase may not be sufficient to fully describe the neuropathology of aphasia. In this study, we examined patients with aphasia caused by cerebral infarct in the acute stage by using DTI. 16) To determine the Background: Magnetic resonance diffusion tensor imaging (DTI) is a new technique that evaluates neural fiber integrity within the brain. We conducted DTI in patients exhibiting aphasia during the acute stage post-infarct and investigated the neural tracts responsible by comparison with DTI data from age-matched controls. Methods: Fractional anisotropy (FA) maps were generated from diffusion tensor brain images obtained from aphasic patients 14−21 days following their first infarct. Tract-based spatial statistics (TBSS) analysis was then applied. In addition, regions of interest (ROIs) were set within the right and left arcuate fasciculus, and mean FA values were extracted from individual TBSS data. The ratios between FA values in the left and right hemispheres were compared with those of the control group. Results: The study examined 10 aphasic patients and 21 age-matched controls. Brain maps from TBSS analysis revealed significantly reduced FA in the left arcuate fasciculus of the patient group compared with that in the control group. Copyright © 2016 The Japanese Association of Rehabilitation Medicine lesions responsible, we applied tract-based spatial statistics (TBSS) 17) in reference to age-matched control subjects.

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Atypical structural connectivity of language networks in autism spectrum disorder: A meta‐analysis of diffusion tensor imaging studies

Wang

Tachibana

et al. 2022

Autism Research

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Patients with autism spectrum disorder (ASD) often show pervasive and complex language impairments that are closely associated with aberrant structural connectivity of language networks. However, the characteristics of white matter connectivity in ASD have remained inconclusive in previous diffusion tensor imaging (DTI) studies. The current meta‐analysis aimed to comprehensively elucidate the abnormality in language‐related white matter connectivity in individuals with ASD. We searched PubMed, Web of Science, Scopus, and Medline databases to identify relevant studies. The standardized mean difference was calculated to measure the pooled difference in DTI metrics in each tract between the ASD and typically developing (TD) groups. The moderating effects of age, sex, language ability, and symptom severity were investigated using subgroup and meta‐regression analysis. Thirty‐three DTI studies involving 831 individuals with ASD and 836 TD controls were included in the meta‐analysis. ASD subjects showed significantly lower fractional anisotropy or higher mean diffusivity across language‐associated tracts than TD controls. These abnormalities tended to be more prominent in the left language networks than in the right. In addition, children with ASD exhibit more pronounced and pervasive disturbances in white matter connectivity than adults. These results support the under‐connectivity hypothesis and demonstrate the widespread abnormal microstructure of language‐related tracts in patients with ASD. Otherwise, white matter abnormalities in the autistic brain could vary depending on the developmental stage and hemisphere. Lay Summary This meta‐analysis explored abnormalities in white matter connectivity in language networks of individuals with ASD. Significantly reduced white matter integrity was found in all language‐associated tracts in subjects with ASD compared with TD controls. In addition, structural disturbances of language networks in the autistic brain exhibit a leftward tendency, and more prominent abnormalities are observed in younger people with ASD than in adults.

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Diffusion-tensor imaging of major white matter tracts and their role in language processing in aphasia

Cited by 182 publications

References 84 publications

What Do Language Disorders Reveal about Brain–Language Relationships? From Classic Models to Network Approaches

What Do Language Disorders Reveal about Brain–Language Relationships? From Classic Models to Network Approaches

Reduced Diffusion Tensor Fractional Anisotropy in the Left Arcuate Fasciculus of Patients with Aphasia Caused by Acute Cerebral Infarct

Atypical structural connectivity of language networks in autism spectrum disorder: A meta‐analysis of diffusion tensor imaging studies

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