Structural disconnection of the posterior medial frontal cortex reduces speech error monitoring

McCall, Joshua D.; Dickens, J. Vivian; Mandal, Ayan S.; DeMarco, Andrew T.; Fama, Mackenzie E.; Lacey, Elizabeth H.; Kelkar, Apoorva; Medaglia, John D.; Turkeltaub, Peter E.

doi:10.1016/j.nicl.2021.102934

Cited by 4 publications

(1 citation statement)

References 84 publications

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“…Differing from other nodes in this study, DLPFC is not a brain area specific for speech and language but serves as a crucial site in the domain-general network, involved in selective attention and cognitive control ( 28 , 46 ). The loss of connection to DLPFC leads to the reduction of error monitoring ( 47 ). The activation of left DLPFC-left IFG in the tDCS group might indicate that after tDCS treatment, left DLPFC was involved in selection among competing words and error monitoring, showing that the network connectivity of patients in the tDCS group tended to be normalized.…”

Section: Discussionmentioning

confidence: 99%

Alteration of network connectivity in stroke patients with apraxia of speech after tDCS: A randomized controlled study

Zhao

Zhang

et al. 2022

Front. Neurol.

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Objective: This study aimed to examine the changes in the functional connectivity of the cortical speech articulation network after anodal transcranial direct current stimulation (A-tDCS) over the left lip region of the primary motor cortex (M ) in subacute post-stroke patients with apraxia of speech (AoS), and the e ect of A-tDCS on AoS.Methods: A total of patients with post-stroke AoS were randomized into two groups and received A-tDCS over the left lip region of M (tDCS group)/ sham tDCS (control group) as well as speech and language therapy two times per day for days. Before and after the treatment, the AoS assessments and electroencephalogram (EEG) were evaluated. The cortical interconnections were measured using the EEG non-linear index of cross approximate entropy (C-ApEn).Results: The analysis of EEG showed that, after the treatment, the activated connectivity was all in the left hemisphere, and not only regions in the speech articulation network but also in the dorsal lateral prefrontal cortex (DLPFC) in the domain-general network were activated in the tDCS group. In contrast, the connectivity was confined to the right hemisphere and between bilateral DLPFC and bilateral inferior frontal gyrus (IFG) in the control group. In AoS assessments, the tDCS group improved significantly more than the control group in four of the five subtests. The results of multivariate linear regression analyses showed that only the group was significantly associated with the improvement of word repetition (P = .). Conclusion:A-tDCS over the left lip region of M coupled with speech therapy could upregulate the connectivity of both speech-specific and domain-general networks in the left hemisphere. The improved articulation performance in patients with post-stroke AoS might be related to the enhanced connectivity of networks in the left hemisphere induced by tDCS.

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Section: Discussionmentioning

confidence: 99%

Alteration of network connectivity in stroke patients with apraxia of speech after tDCS: A randomized controlled study

Zhao

Zhang

et al. 2022

Front. Neurol.

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Common and distinct patterns underlying different linguistic tasks: multivariate disconnectome symptom mapping in poststroke patients

Jiang,

Gong

2024

Cerebral Cortex

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Numerous studies have been devoted to neural mechanisms of a variety of linguistic tasks (e.g. speech comprehension and production). To date, however, whether and how the neural patterns underlying different linguistic tasks are similar or differ remains elusive. In this study, we compared the neural patterns underlying 3 linguistic tasks mainly concerning speech comprehension and production. To address this, multivariate regression approaches with lesion/disconnection symptom mapping were applied to data from 216 stroke patients with damage to the left hemisphere. The results showed that lesion/disconnection patterns could predict both poststroke scores of speech comprehension and production tasks; these patterns exhibited shared regions on the temporal pole of the left hemisphere as well as unique regions contributing to the prediction for each domain. Lower scores in speech comprehension tasks were associated with lesions/abnormalities in the superior temporal gyrus and middle temporal gyrus, while lower scores in speech production tasks were associated with lesions/abnormalities in the left inferior parietal lobe and frontal lobe. These results suggested an important role of the ventral and dorsal stream pathways in speech comprehension and production (i.e. supporting the dual stream model) and highlighted the applicability of the novel multivariate disconnectome-based symptom mapping in cognitive neuroscience research.

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Listening to Yourself and Watching Your Tongue: Distinct Abilities and Brain Regions for Monitoring Semantic and Phonological Speech Errors

McCall

DeMarco

Mandal

et al. 2023

Journal of Cognitive Neuroscience

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Despite the many mistakes we make while speaking, people can effectively communicate because we monitor our speech errors. However, the cognitive abilities and brain structures that support speech error monitoring are unclear. There may be different abilities and brain regions that support monitoring phonological speech errors versus monitoring semantic speech errors. We investigated speech, language, and cognitive control abilities that relate to detecting phonological and semantic speech errors in 41 individuals with aphasia who underwent detailed cognitive testing. Then, we used support vector regression lesion symptom mapping to identify brain regions supporting detection of phonological versus semantic errors in a group of 76 individuals with aphasia. The results revealed that motor speech deficits as well as lesions to the ventral motor cortex were related to reduced detection of phonological errors relative to semantic errors. Detection of semantic errors selectively related to auditory word comprehension deficits. Across all error types, poor cognitive control related to reduced detection. We conclude that monitoring of phonological and semantic errors relies on distinct cognitive abilities and brain regions. Furthermore, we identified cognitive control as a shared cognitive basis for monitoring all types of speech errors. These findings refine and expand our understanding of the neurocognitive basis of speech error monitoring.

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Structural disconnection of the posterior medial frontal cortex reduces speech error monitoring

Abstract: Highlights Structural disconnections relate to reduced speech error monitoring. Disconnection of pMFC from speech processing regions reduces speech error monitoring. Disconnection of pMFC from executive regions reduces speech error monitoring.

Cited by 4 publications

References 84 publications

Alteration of network connectivity in stroke patients with apraxia of speech after tDCS: A randomized controlled study

Alteration of network connectivity in stroke patients with apraxia of speech after tDCS: A randomized controlled study

Common and distinct patterns underlying different linguistic tasks: multivariate disconnectome symptom mapping in poststroke patients

Listening to Yourself and Watching Your Tongue: Distinct Abilities and Brain Regions for Monitoring Semantic and Phonological Speech Errors

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