Aberrant Static and Dynamic Functional Network Connectivity in Acute Mild Traumatic Brain Injury with Cognitive Impairment

Lu, Liangliang; Zhang, Juan; Li, Fengfang; Shang, Shaobin; Chen, Huiyou; Yin, Xindao; Gao, Wei; Chen, Yu‐Chen

doi:10.1007/s00062-021-01082-6

Cited by 23 publications

(20 citation statements)

References 43 publications

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“…That the temporal dynamics of brain network activity differs in the individuals with TBI is a fairly recent discovery, reported in resting state fMRI ( Vergara et al, 2017 , 2018 ; Hou et al, 2019 ; Lu et al, 2021 ), in task-related fMRI ( Gilbert et al, 2018 ), and in magnetoencephalographic resting state recordings ( Antonakakis et al, 2019 ). In all of those examples, the differences in mTBI tended to be in frontal or parietal nodes and are likely specific to certain frequency band oscillations (beta frequency in Antonakakis et al, 2019 ).…”

Section: Discussionmentioning

confidence: 96%

“…The group differences in the timing of peak connectivity, particularly of the FP, corresponding to peak effort level or longer TOT, suggest that the mTBI group has hyper-connectivity of the CO, or hypo-connectivity of the FP network, either of which is different from that seen in the control group. That the temporal dynamics of brain network activity differs in the individuals with TBI is a fairly recent discovery, reported in resting state fMRI (Vergara et al, 2017(Vergara et al, , 2018Hou et al, 2019;Lu et al, 2021), in task-related fMRI (Gilbert et al, 2018), and in magnetoencephalographic resting state recordings (Antonakakis et al, 2019). In all of those examples, the differences in mTBI tended to be in frontal or parietal nodes and are likely specific to certain frequency band oscillations (beta frequency in Antonakakis et al, 2019).…”

Section: Task Modulation Of Network Connectivitymentioning

confidence: 93%

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Cingulo-Opercular and Frontoparietal Network Control of Effort and Fatigue in Mild Traumatic Brain Injury

Ramage

Ray

Franz

et al. 2022

Front. Hum. Neurosci.

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Neural substrates of fatigue in traumatic brain injury (TBI) are not well understood despite the considerable burden of fatigue on return to productivity. Fatigue is associated with diminishing performance under conditions of high cognitive demand, sense of effort, or need for motivation, all of which are associated with cognitive control brain network integrity. We hypothesize that the pathophysiology of TBI results in damage to diffuse cognitive control networks, disrupting coordination of moment-to-moment monitoring, prediction, and regulation of behavior. We investigate the cingulo-opercular (CO) and frontoparietal (FP) networks, which are engaged to sustain attention for task and maintain performance. A total of 61 individuals with mild TBI and 42 orthopedic control subjects participated in functional MRI during performance of a constant effort task requiring altering the amount of effort (25, 50, or 75% of maximum effort) utilized to manually squeeze a pneumostatic bulb across six 30-s trials. Network-based statistics assessed within-network organization and fluctuation with task manipulations by group. Results demonstrate small group differences in network organization, but considerable group differences in the evolution of task-related modulation of connectivity. The mild TBI group demonstrated elevated CO connectivity throughout the task with little variation in effort level or time on task (TOT), while CO connectivity diminished over time in controls. Several interregional CO connections were predictive of fatigue in the TBI group. In contrast, FP connectivity fluctuated with task manipulations and predicted fatigue in the controls, but connectivity fluctuations were delayed in the mild traumatic brain injury (mTBI) group and did not relate to fatigue. Thus, the mTBI group’s hyper-connectivity of the CO irrespective of task demands, along with hypo-connectivity and delayed peak connectivity of the FP, may allow for attainment of task goals, but also contributes to fatigue. Findings are discussed in relation to performance monitoring of prediction error that relies on internal cues from sensorimotor feedback during task performance. Delay or inability to detect and respond to prediction errors in TBI, particularly evident in bilateral insula-temporal CO connectivity, corresponds to day-to-day fatigue and fatigue during task performance.

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Section: Discussionmentioning

confidence: 96%

Section: Task Modulation Of Network Connectivitymentioning

confidence: 93%

Cingulo-Opercular and Frontoparietal Network Control of Effort and Fatigue in Mild Traumatic Brain Injury

Ramage

Ray

Franz

et al. 2022

Front. Hum. Neurosci.

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“…Functional magnetic resonance imaging (fMRI) studies have provided extensive evidence for impaired brain structure and functional connectivity (FC) in patients with mTBI and TBI (8,9). FC abnormalities have commonly been detected in regions within the attention, default mode, executive, salience, and somatosensory networks in the different timing of data acquisition after mTBI (10)(11)(12). Different brain regions and networks have their own tasks and functions.…”

Section: Introductionmentioning

confidence: 99%

Rich-club reorganization of functional brain networks in acute mild traumatic brain injury with cognitive impairment

Li¹,

Liu²,

Lu³

et al. 2022

Quant Imaging Med Surg

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Background: Mild traumatic brain injury (mTBI) is typically characterized by temporally limited cognitive impairment and regarded as a brain connectome disorder. Recent findings have suggested that a higher level of organization named the "rich-club" may play a central role in enabling the integration of information and efficient communication across different systems of the brain. However, the alterations in rich-club organization and hub topology in mTBI and its relationship with cognitive impairment after mTBI have been scarcely elucidated.Methods: Resting-state functional magnetic resonance imaging (rs-fMRI) data were collected from 88 patients with mTBI and 85 matched healthy controls (HCs). Large-scale functional brain networks were established for each participant. Rich-club organizations and network properties were assessed and analyzed between groups. Finally, we analyzed the correlations between the cognitive performance and changes in rich-club organization and network properties.Results: Both mTBI and HCs groups showed significant rich-club organization. Meanwhile, the rich-club organization was aberrant, with enhanced functional connectivity (FC) among rich-club nodes and peripheral regions in acute mTBI. In addition, significant differences in partial global and local network topological property measures were found between mTBI patients and HCs (P<0.01). In patients with mTBI, changes in rich-club organization and network properties were found to be related to early cognitive impairment after mTBI (P<0.05).Conclusions: Our findings suggest that such patterns of disruption and reorganization will provide the basic functional architecture for cognitive function, which may subsequently be used as an earlier biomarker for cognitive impairment after mTBI.

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“…In addition, previous studies used a graph theoretical approach to investigate alterations in brain network topology based on resting-state functional connectivity in patents with mTBI (Hou et al, 2019;Boroda et al, 2021;Sun et al, 2021). Moreover, several studies suggested that dynamic functional network connectivity (dFNC) can be used to identify optimal dFNC states for the classification of mTBI, which has shown potential as an important imaging modality for the development of mTBI biomarkers (Vergara et al, 2018;Li et al, 2021;Lu et al, 2022).…”

Section: Resting-state Functional Magnetic Resonance Imagingmentioning

confidence: 99%

Neuropathological Mechanisms of Mild Traumatic Brain Injury: A Perspective From Multimodal Magnetic Resonance Imaging

Liu

et al. 2022

Front. Neurosci.

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Mild traumatic brain injury (mTBI) accounts for more than 80% of the total number of TBI cases. The mechanism of injury for patients with mTBI has a variety of neuropathological processes. However, the underlying neurophysiological mechanism of the mTBI is unclear, which affects the early diagnosis, treatment decision-making, and prognosis evaluation. More and more multimodal magnetic resonance imaging (MRI) techniques have been applied for the diagnosis of mTBI, such as functional magnetic resonance imaging (fMRI), arterial spin labeling (ASL) perfusion imaging, susceptibility-weighted imaging (SWI), and diffusion MRI (dMRI). Various imaging techniques require to be used in combination with neuroimaging examinations for patients with mTBI. The understanding of the neuropathological mechanism of mTBI has been improved based on different angles. In this review, we have summarized the application of these aforementioned multimodal MRI techniques in mTBI and evaluated its benefits and drawbacks.

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Aberrant Static and Dynamic Functional Network Connectivity in Acute Mild Traumatic Brain Injury with Cognitive Impairment

Cited by 23 publications

References 43 publications

Cingulo-Opercular and Frontoparietal Network Control of Effort and Fatigue in Mild Traumatic Brain Injury

Cingulo-Opercular and Frontoparietal Network Control of Effort and Fatigue in Mild Traumatic Brain Injury

Rich-club reorganization of functional brain networks in acute mild traumatic brain injury with cognitive impairment

Neuropathological Mechanisms of Mild Traumatic Brain Injury: A Perspective From Multimodal Magnetic Resonance Imaging

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