Integrating Lesion-Symptom Mapping with Other Methods to Investigate Language Networks and Aphasia Recovery
Voxel-based lesion-symptom mapping (VLSM) has provided valuable insights into the neural underpinnings of various language functions. Integrating lesion mapping methods with other neuroscience techniques may provide new opportunities to investigate questions related both to the neurobiology of langu...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2015-04-01
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Series: | Frontiers in Psychology |
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Online Access: | http://journal.frontiersin.org/Journal/10.3389/conf.fpsyg.2015.65.00057/full |
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author | Peter E Turkeltaub |
author_facet | Peter E Turkeltaub |
author_sort | Peter E Turkeltaub |
collection | DOAJ |
description | Voxel-based lesion-symptom mapping (VLSM) has provided valuable insights into the neural underpinnings of various language functions. Integrating lesion mapping methods with other neuroscience techniques may provide new opportunities to investigate questions related both to the neurobiology of language and to plasticity after brain injury. For example, recent diffusion tensor imaging studies have explored relationships between aphasia symptomology and damage in specific white matter tracts (Forkel et al., 2014) or disruption of the white matter connectome (Bonilha, Rorden, & Fridriksson, 2014). VLSM has also recently been used to assess correlations between lesion location and response to transcranial direct current stimulation aphasia treatment (Campana, Caltagirone, & Marangolo, 2015). We have recently undertaken studies integrating VLSM with other techniques, including voxel-based morphometry (VBM) and functional MRI, in order to investigate how parts of the brain spared by stroke contribute to recovery. VLSM can be used in this context to map lesions associated with particular patterns of plasticity in brain structure, function, or connectivity. We have also used VLSM to estimate the variance in behavior due to the stroke itself so that this lesion-symptom relationship can be controlled for when examining the contributions of the rest of the brain. Using this approach in combination with VBM, we have identified areas of the right temporoparietal cortex that appear to undergo hypertrophy after stroke and compensate for speech production deficits.
In this talk, I will review recent advances in integrating lesion-symptom mapping with other imaging and brain stimulation techniques in order to better understand the brain basis of language and of aphasia recovery. |
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format | Article |
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institution | Directory Open Access Journal |
issn | 1664-1078 |
language | English |
last_indexed | 2024-12-10T19:22:48Z |
publishDate | 2015-04-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Psychology |
spelling | doaj.art-0cd4b0cb07f74604abfb1156065316a32022-12-22T01:36:26ZengFrontiers Media S.A.Frontiers in Psychology1664-10782015-04-01610.3389/conf.fpsyg.2015.65.00057149995Integrating Lesion-Symptom Mapping with Other Methods to Investigate Language Networks and Aphasia RecoveryPeter E Turkeltaub0Georgetown UniversityVoxel-based lesion-symptom mapping (VLSM) has provided valuable insights into the neural underpinnings of various language functions. Integrating lesion mapping methods with other neuroscience techniques may provide new opportunities to investigate questions related both to the neurobiology of language and to plasticity after brain injury. For example, recent diffusion tensor imaging studies have explored relationships between aphasia symptomology and damage in specific white matter tracts (Forkel et al., 2014) or disruption of the white matter connectome (Bonilha, Rorden, & Fridriksson, 2014). VLSM has also recently been used to assess correlations between lesion location and response to transcranial direct current stimulation aphasia treatment (Campana, Caltagirone, & Marangolo, 2015). We have recently undertaken studies integrating VLSM with other techniques, including voxel-based morphometry (VBM) and functional MRI, in order to investigate how parts of the brain spared by stroke contribute to recovery. VLSM can be used in this context to map lesions associated with particular patterns of plasticity in brain structure, function, or connectivity. We have also used VLSM to estimate the variance in behavior due to the stroke itself so that this lesion-symptom relationship can be controlled for when examining the contributions of the rest of the brain. Using this approach in combination with VBM, we have identified areas of the right temporoparietal cortex that appear to undergo hypertrophy after stroke and compensate for speech production deficits. In this talk, I will review recent advances in integrating lesion-symptom mapping with other imaging and brain stimulation techniques in order to better understand the brain basis of language and of aphasia recovery.http://journal.frontiersin.org/Journal/10.3389/conf.fpsyg.2015.65.00057/fullAphasiaLanguageStrokeDTIVBMlesion-symptom mappinglesion mappingstroke recoveryVLSM |
spellingShingle | Peter E Turkeltaub Integrating Lesion-Symptom Mapping with Other Methods to Investigate Language Networks and Aphasia Recovery Frontiers in Psychology Aphasia Language Stroke DTI VBM lesion-symptom mapping lesion mapping stroke recovery VLSM |
title | Integrating Lesion-Symptom Mapping with Other Methods to Investigate Language Networks and Aphasia Recovery |
title_full | Integrating Lesion-Symptom Mapping with Other Methods to Investigate Language Networks and Aphasia Recovery |
title_fullStr | Integrating Lesion-Symptom Mapping with Other Methods to Investigate Language Networks and Aphasia Recovery |
title_full_unstemmed | Integrating Lesion-Symptom Mapping with Other Methods to Investigate Language Networks and Aphasia Recovery |
title_short | Integrating Lesion-Symptom Mapping with Other Methods to Investigate Language Networks and Aphasia Recovery |
title_sort | integrating lesion symptom mapping with other methods to investigate language networks and aphasia recovery |
topic | Aphasia Language Stroke DTI VBM lesion-symptom mapping lesion mapping stroke recovery VLSM |
url | http://journal.frontiersin.org/Journal/10.3389/conf.fpsyg.2015.65.00057/full |
work_keys_str_mv | AT petereturkeltaub integratinglesionsymptommappingwithothermethodstoinvestigatelanguagenetworksandaphasiarecovery |