Speech Loss Linked to Loss of Brain Interconnections in Stroke Patients

Imaging reveals disruption of language network ‘structural hubs’ directly associated with aphasia following stroke, reports Restorative Neurology and Neuroscience.

When brain regions that control speech and reading comprehension are destroyed due to blockage of blood flow, patients are often unable to speak or comprehend spoken or written language. These difficulties with language, or “aphasia,” are a common symptom in the aftermath of stroke. However, in a new study published in Restorative Neurology and Neuroscience, researchers report that damage to the underlying connections among different areas of the brain can also affect the severity of aphasia.

The brain’s macro architecture of connections can be reproduced as a “connectome” composed of nodes representing various regions of the brain and their edges, the connections between such nodes. Some of these nodes function as hubs, which are fundamental to the overall organization and distribution of information throughout the brain. When a network hub has an excess of interconnections, it is part of a so-called “rich club network.” There is a growing body of evidence that damage to this rich club network can impair various speech and reading functions in much the same way as direct damage to brain regions normally associated with speech and comprehension.

This investigation involved 44 patients who had experienced a left hemisphere ischemic stroke at least six months prior to the study. Aphasia testing used the Western Aphasia Battery, which determined overall aphasia severity, as well as sub-assessments of speech fluency, auditory comprehension, speech repetition, and naming. Each participant was assigned an Aphasia Quotient (WAB-AQ) as a measure of severity. MRI Diffusion Tensor Imaging (MRI-DTI), which can map the interconnections between brain regions, was used to identify the rich club network in each individual patient.

Investigators found that when imaging revealed that the post-stroke patients studied had different distributions of rich club nodes, their aphasia could differ markedly. They present a striking example in which two patients had similar volumes of stroke damage but very dissimilar numbers of rich club nodes remaining nearby. Patient B had more severe aphasia (lower WAB-AQ = 23.6) than patient A (WAB-AB = 64.6).

Image shows 2 brains with dots to represent rich club nodes.
Two representative participants were drawn from our sample to demonstrate the relationship between number of rich club nodes in each hemisphere and language performance. Despite comparable lesion volumes (A = 5796 voxels, B= 5614 voxels) and number of right-hemisphere rich club nodes, patient B — who had one isolated left-hemisphere rich club node — showed remarkably low language performance compared to patient A, who had fourteen nodes participation in the rich club on the left hemisphere. Credit: Restorative Neurology and Neuroscience.

“Subjects whose spared cortical language regions are integrated into the remaining network as rich club nodes are less likely to have more severe forms of aphasia,” explained lead investigators Ezequiel Gleichgerrcht, MD, PhD, and Leonardo Bonilha, MD, PhD, from the Department of Neurology, Medical University of South Carolina.

While clinical practice has often focused on the direct damage to the grey matter of the brain, new mapping techniques such as MRI-DTI can examine the white matter connections throughout the brain. The investigators stressed that, “These findings further highlight the potential relevance and utility of mapping the neural connectome of individual subjects. Identifying patterns of white matter integrity has the potential to add valuable information to the well-established volume-based analysis of clinical, neuropsychological, and language outcomes from both theoretical and clinical perspectives.”

About this neurolgy research

Source: Daphne Watrin – IOS Press
Image Credit: The image is credited to Restorative Neurology and Neuroscience.
Original Research: Abstract for “Preservation of structural brain network hubs is associated with less severe post-stroke aphasia” by Gleichgerrcht, Ezequiel; Kocher, Madison; Nesland, Travis; Rorden, Chris; Fridriksson, Julius; and Bonilha, Leonardo in Restorative Neurology and Neuroscience. Published online November 17 2015 doi:10.3233/RNN-150511


Abstract

Preservation of structural brain network hubs is associated with less severe post-stroke aphasia

Purpose: Post-stroke aphasia is typically associated with ischemic damage to cortical areas or with loss of connectivity among spared brain regions. It remains unclear whether the participation of spared brain regions as networks hubs affects the severity of aphasia.

Methods: We evaluated language performance and magnetic resonance imaging from 44 participants with chronic aphasia post-stroke. The individual structural brain connectomes were constructed from diffusion tensor. Hub regions were defined in accordance with the rich club classification and studied in relation with language performance.

Results: Number of remaining left hemisphere rich club nodes was associated with aphasia, including comprehension, repetition and naming sub-scores. Importantly, among participants with relative preservation of regions of interest for language, aphasia severity was lessened if the region was not only spared, but also participated in the remaining network as a rich club node: Brodmann area (BA) 44/45 – repetition (p = 0.009), BA 39 – repetition (p = 0.045) and naming (p <  0.01), BA 37 - fluency (p <  0.001), comprehension (p = 0.025), repetition (p <  0.001) and naming (p <  0.001).

Conclusions: Disruption of language network structural hubs is directly associated with aphasia severity after stroke.

“Preservation of structural brain network hubs is associated with less severe post-stroke aphasia” by Gleichgerrcht, Ezequiel; Kocher, Madison; Nesland, Travis; Rorden, Chris; Fridriksson, Julius; and Bonilha, Leonardo in Restorative Neurology and Neuroscience. Published online November 17 2015 doi:10.3233/RNN-150511

Feel free to share this neuroscience news.
Join our Newsletter
I agree to have my personal information transferred to AWeber for Neuroscience Newsletter ( more information )
Sign up to receive our recent neuroscience headlines and summaries sent to your email once a day, totally free.
We hate spam and only use your email to contact you about newsletters. You can cancel your subscription any time.