Connectivity Gradients Between the Default Mode and Attention Control Networks

Anderson, Jeffrey S.; Ferguson, Michael; Lopez-Larson, Melissa; Yurgelun‐Todd, Deborah

doi:10.1089/brain.2011.0007

Cited by 137 publications

(115 citation statements)

References 50 publications

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“…21 The SN has been studied extensively in patients with neuropsychiatric illness, which affects cognition, and a considerable decrease in the rsFC of this network has been demonstated. 1 No studies have evaluated alterations in the SN after PNI. Ros et al 31 noted an increase in SN connectivity after neurofeedback training.…”

Section: Resting-state Network In Patients With Brachial Plexus Injumentioning

confidence: 99%

Cortical plasticity after brachial plexus injury and repair: a resting-state functional MRI study

Bhat¹,

Devi²,

Bharti³

et al. 2017

FOC

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OBJECTIVE The authors aimed to understand the alterations of brain resting-state networks (RSNs) in patients with pan–brachial plexus injury (BPI) before and after surgery, which might provide insight into cortical plasticity after peripheral nerve injury and regeneration. METHODS Thirty-five patients with left pan-BPI before surgery, 30 patients after surgery, and 25 healthy controls underwent resting-state functional MRI (rs-fMRI). The 30 postoperative patients were subdivided into 2 groups: 14 patients with improvement in muscle power and 16 patients with no improvement in muscle power after surgery. RSNs were extracted using independent component analysis to evaluate connectivity at a significance level of p < 0.05 (familywise error corrected). RESULTS The patients with BPI had lower connectivity in their sensorimotor network (SMN) and salience network (SN) and greater connectivity in their default mode network (DMN) before surgery than the controls. Connectivity of the left supplementary motor cortex in the SMN and medial frontal gyrus and in the anterior cingulate cortex in the SN increased in patients whose muscle power had improved after surgery, whereas no significant changes were noted in the unimproved patients. There was a trend toward reduction in DMN connectivity in all the patients after surgery compared with that in the preoperative patients; however, this result was not statistically significant. CONCLUSIONS The results of this study highlight the fact that peripheral nerve injury, its management, and successful treatment cause dynamic changes within the brain's RSNs, which includes not only the obvious SMN but also the higher cognitive networks such as the SN and DMN, which indicates brain plasticity and compensatory mechanisms at work.

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Section: Resting-state Network In Patients With Brachial Plexus Injumentioning

confidence: 99%

Cortical plasticity after brachial plexus injury and repair: a resting-state functional MRI study

Bhat¹,

Devi²,

Bharti³

et al. 2017

FOC

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“…The magnitude of the negative correlation between the DMN and attentional networks exhibits a continuous gradient across network subcomponents (Anderson et al, 2011), and some evidence suggests that switching between the DMN and attentional networks may be controlled by specific brain regions such as the right frontoinsula (Sridharan et al, 2008).…”

Section: Parks and Maddenmentioning

confidence: 99%

Brain Connectivity and Visual Attention

Parks

Madden

2013

Brain Connectivity

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Emerging hypotheses suggest that efficient cognitive functioning requires the integration of separate, but interconnected cortical networks in the brain. Although task-related measures of brain activity suggest that a frontoparietal network is associated with the control of attention, little is known regarding how components within this distributed network act together or with other networks to achieve various attentional functions. This review considers both functional and structural studies of brain connectivity, as complemented by behavioral and taskrelated neuroimaging data. These studies show converging results: The frontal and parietal cortical regions are active together, over time, and identifiable frontoparietal networks are active in relation to specific task demands. However, the spontaneous, low-frequency fluctuations of brain activity that occur in the resting state, without specific task demands, also exhibit patterns of connectivity that closely resemble the task-related, frontoparietal attention networks. Both task-related and resting-state networks exhibit consistent relations to behavioral measures of attention. Further, anatomical structure, particularly white matter pathways as defined by diffusion tensor imaging, places constraints on intrinsic functional connectivity. Lastly, connectivity analyses applied to investigate cognitive differences across individuals in both healthy and diseased states suggest that disconnection of attentional networks is linked to deficits in cognitive functioning, and in extreme cases, to disorders of attention. Thus, comprehensive theories of visual attention and their clinical translation depend on the continued integration of behavioral, task-related neuroimaging, and brain connectivity measures.

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“…The frontoparietal network (FPN), sometimes referred to as the task-positive network, is classically defined by task-induced activations, and consists of the dorsal, frontal, and parietal regions associated with volitional tasks that require attention to external stimuli (Corbetta and Shulman, 2002;Dosenbach et al, 2007;Kastner and Ungerleider, 2000). These two networks have also been identified on the basis of spontaneous correlations during resting states characterized by anticorrelations between them (Anderson et al, 2011;Fox et al, 2005), suggesting an intrinsic oppositional functional organization of neural processes that mediate cognitive tasks. Despite a general consensus regarding the regions comprising these networks, there is a lack of consensus regarding their functions.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Coupling Between the Lateral Occipital-Cortex, Default-Mode, and Frontoparietal Networks During Bistable Perception

et al. 2013

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The lateral occipital cortex (LOC), a visual area known to be involved in object recognition, was dynamically coupled with each of two distributed patterns of neural activity depending upon the percept (default or alternative) elicited by a bistable figure. The two distributed patterns included core nodes of the default-mode and frontoparietal networks (FPN), and they were most highly coupled to each other during the alternative percept, whereas they were less coupled during the default percept. Surprisingly, the regions associated with the nonengaged percept exhibited the highest connectivity to the LOC. Together, these findings reveal a dynamic organization between the default mode and the FPNs, and the incoming bottom-up visual stream during perceptual binding of visual images.

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Connectivity Gradients Between the Default Mode and Attention Control Networks

Cited by 137 publications

References 50 publications

Cortical plasticity after brachial plexus injury and repair: a resting-state functional MRI study

Cortical plasticity after brachial plexus injury and repair: a resting-state functional MRI study

Brain Connectivity and Visual Attention

Dynamic Coupling Between the Lateral Occipital-Cortex, Default-Mode, and Frontoparietal Networks During Bistable Perception

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