Exploring the functional connectivity characteristics of brain networks in post-stroke patients with global aphasia: a healthy control based resting-state fMRI study

Xu, Xinlei; Ren, Chao; Fang, Hui; Li, Zhaohui; Chen, Ping; Yang, Jian; Wang, Tong

doi:10.21037/apm-21-2750

Cited by 5 publications

(4 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…PSCI highlights the causal relationship between stroke and cognitive impairment. Brain network connections have shown dynamic changes throughout stroke [ 6 ]. Many studies have found that alterations of FC and SC within and between brain RSNs correlate with cognitive decline and recovery after a stroke exposure [ 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Causal Associations between Functional/Structural Connectivity and Stroke: A Bidirectional Mendelian Randomization Study

2023

View full text Add to dashboard Cite

Disruption of brain resting-state networks (RSNs) is known to be related to stroke exposure, but determining causality can be difficult in epidemiological studies. We used data on genetic variants associated with the levels of functional (FC) and structural connectivity (SC) within 7 RSNs identified from a genome-wide association study (GWAS) meta-analysis among 24,336 European ancestries. The data for stroke and its subtypes were obtained from the MEGASTROKE consortium, including up to 520,000 participants. We conducted a two-sample bidirectional Mendelian randomization (MR) study to investigate the causality relationship between FC and SC within 7 RSNs and stroke and its subtypes. The results showed that lower global mean FC and limbic network FC were associated with a higher risk of any ischemic stroke and small vessel stroke separately. Moreover, ventral attention network FC and default mode network SC have a positive causal relationship with the risk of small vessel stroke and large artery stroke, respectively. In the inverse MR analysis, any stroke and large artery stroke were causally related to dorsal attention network FC and somatomotor FC, respectively. The present study provides genetic support that levels of FC or SC within different RSNs have contrasting causal effects on stroke and its subtypes. Moreover, there is a combination of injury and compensatory physiological processes in brain RSNs following a stroke. Further studies are necessary to validate our results and explain the physiological mechanisms.

show abstract

Section: Introductionmentioning

confidence: 99%

Causal Associations between Functional/Structural Connectivity and Stroke: A Bidirectional Mendelian Randomization Study

2023

View full text Add to dashboard Cite

show abstract

“…The recovery of the lexical-semantic system was associated predominantly with the activations of these regions (12). Resting-state fMRI (rs-fMRI) showed that patients with global aphasia had decreased interhemispheric and intra-hemispheric connectivity and enhanced connection between language network and cerebellar structures (13). These studies show that the utilization of neuroimaging techniques is feasible for research on global aphasia.…”

Section: Introductionmentioning

confidence: 86%

Language reorganization patterns in global aphasia–evidence from fNIRS

Liu²,

Tian³

et al. 2023

Front. Neurol.

View full text Add to dashboard Cite

BackgroundExploring the brain reorganization patterns associated with language recovery would promote the treatment of global aphasia. While functional near-infrared spectroscopy (fNIRS) has been widely used in the study of speech and language impairment, its application in the field of global aphasia is still limited.AimsWe aimed to identify cortical activation patterns of patients with global aphasia during naming and repetition tasks.Methods and proceduresWe recruited patients with post-stroke aphasia from the Department of Rehabilitation Medicine at Huashan Hospital. These individuals were diagnosed with global aphasia without cognitive impairments, as assessed by speech-language pathology evaluations. Age- and sex-matched healthy controls were recruited from the greater Shanghai area. During fNIRS measurement, patients and healthy controls completed the picture-naming and phrase repetition task. Cortical activation patterns on each of these language tasks were then compared between groups.Outcomes and resultsA total of nine patients with global aphasia and 14 healthy controls were included in this study. Compared with the healthy subjects, patients with global aphasia showed increased activation in the left Broca's area, middle temporal gyrus (MTG), superior temporal gyrus (STG), and pre-motor and supplementary motor cortex (SMA) (p < 0.05) in the picture-naming task. Furthermore, the latency of the oxyhemoglobin (HbO) concentration in the left supramarginal gyrus (SMG) region had a strong negative correlation with their score of the naming task (p < 0.01). In the phrase repetition task, decreased activation was detected in the left SMA and SMG (p < 0.05) of patients relative to controls.ConclusionThe left SMG plays a critical role in the language function of patients with global aphasia, especially in their abilities to name and repeat. fNIRS is a promising approach to revealing the changes in brain activities in patients with aphasia, and we believe it will contribute to a deeper understanding of the neurological mechanisms and the establishment of a novel treatment approach for global aphasia.

show abstract

“…The conventional FC network is usually constructed based on the pairwise correlation among different brain regions (Agoalikum et al, 2021 ; Z. J. Feng, Deng, et al, 2021 ; Liu et al, 2022 ; Xu et al, 2021 ). However, we have reasons to believe that the connections between brain regions in real neural networks are intricate and not just pairwise (Jie et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Classify patients with Moyamoya disease according to their cognitive performance might be helpful in clinical and practical with support vector machine based on hypergraph

Wang

Zhang

Qian

et al. 2023

Human Brain Mapping

View full text Add to dashboard Cite

Moyamoya disease (MMD) patients were now classified according to their cerebrovascular manifestations, with cognition and emotion ignored, which attenuated the therapy. The present study tried to classify them based on their cognitive and emotional performance and explored the neural basis underlying this classification using resting‐state fMRI (rs‐fMRI). Thirty‐nine MMD patients were recruited, assessed mental function and MRI scanned. We adopted hierarchical analysis of their mental performance for new subtypes. Next, a three‐step analysis, with each step consisting of 10 random cross validation, was conducted for robust brain regions in classifying the three subtypes of patients in a support vector machine (SVM) model with hypergraph of rs‐fMRI. We found three new subtypes including high depression‐high anxiety‐low cognition (HE‐LC, 50%), low depression‐low anxiety‐high cognition (LE‐HC, 14%), and low depression‐low anxiety‐low cognition (LE‐LC, 36%), and no hemorrhagic MMD patients fell into the LE‐HC group. The temporal and the bilateral superior frontal cortex, and so forth were included in all 10 randomized SVM modeling. The classification accuracy of the final three‐way classification model was 67.5% in average of 10 random cross validation. In addition, the S value between the frontal cortex and the angular cortex was positively correlated with the anxiety score and backward digit span ( p < .05). Our results might provide a new perspective for MMD classification concerning patients' mental status, guide timely surgery and suggest angular cortex, and so forth should be protected in surgery for cognitive consideration.

show abstract

Exploring the functional connectivity characteristics of brain networks in post-stroke patients with global aphasia: a healthy control based resting-state fMRI study

Cited by 5 publications

References 49 publications

Causal Associations between Functional/Structural Connectivity and Stroke: A Bidirectional Mendelian Randomization Study

Causal Associations between Functional/Structural Connectivity and Stroke: A Bidirectional Mendelian Randomization Study

Language reorganization patterns in global aphasia–evidence from fNIRS

Classify patients with Moyamoya disease according to their cognitive performance might be helpful in clinical and practical with support vector machine based on hypergraph

Contact Info

Product

Resources

About