Early Small Vessel Disease Affects Frontoparietal and Cerebellar Hubs in Close Correlation with Clinical Symptoms—A Resting-State fMRI Study

Schaefer, Alexander; Quinque, Eva Maria; Kipping, Judy; Arélin, Katrin; Roggenhofer, Elisabeth; Frisch, Stefan; Villringer, Arno; Mueller, Karsten; Schroeter, Matthias L.

doi:10.1038/jcbfm.2014.70

Cited by 69 publications

(61 citation statements)

References 15 publications

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“…The functional metrics in the present study have been widely implemented to detect linear correlations with age (Biswal et al, 2009;Lopez-Larson et al, 2011;Premi et al, 2014;Zuo et al, 2012), behavioral measurements (Kwak et al, 2012;Ren et al, 2015;Schaefer et al, 2014;Tian et al, 2012;Wu et al, 2015;W. Xia et al, 2013), and clinical parameters Cai et al, 2015;Holiga et al, 2015;W.-C. Lin et al, 2015;Qiu et al, 2011;W.…”

Section: The Robust Linear Correlation Analysis Against Agementioning

confidence: 99%

Age-related functional brain changes in young children

et al. 2017

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Section: The Robust Linear Correlation Analysis Against Agementioning

confidence: 99%

Age-related functional brain changes in young children

et al. 2017

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“…Functional connectivity is highly susceptible to motion-related artifacts, and because patients tend to move more than controls, there is a need for either real-time motion correction or improved post hoc removal of motion artifacts. 40 In addition, given that white matter lesions affect brain connectivity 41,42 and are reported to relate to behavioral deficits after stroke, 43 the variance explained by this factor needs to be accounted for when conducting functional connectivity analyses.…”

Section: Conclusion Considerations and Future Perspectivesmentioning

confidence: 99%

The Value of Resting-State Functional Magnetic Resonance Imaging in Stroke

Ovadia-Caro

Margulies

Villringer

2014

Stroke

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In the acute phase of stroke, the use of imaging techniques aims to provide pathophysiological information concerning vascular patency, areas of hypoperfusion, and metabolic and structural damage. Based on such information, therapeutic decisions such as the administration of reperfusion medications are made. After the acute phase, brain plasticity and reorganization are the main mechanisms underlying functional recovery, and improvement is determined by functional adaptations of distributed brain networks mediated by connectivity.1 Accordingly, new therapeutic approaches, such as noninvasive brain stimulation, target the modulation of connectivity and network function. 2,3 At this stage, imaging-based biomarkers should reflect the status of cerebral networks. As the relevance of the network view of stroke becomes increasingly evident, 4 so does the usefulness of imaging techniques in the assessment of cerebral network function in clinical populations. Most notably is the use of resting-state functional MRI (rs-fMRI).rs-fMRI is a task-independent functional neuroimaging approach based on intrinsic low-frequency fluctuations (typically <0.1 Hz) in the blood oxygenation level-dependent (BOLD) signal. This signal can be used to compute the temporal correlations between spatially remote areas, termed: functional connectivity. In the healthy brain, functional connectivity is increased between areas that are part of the same functional network even in the absence of task. The resulting spatial patterns closely resemble the activation patterns identified during specific tasks, 5 and these networks are referred to as resting-state networks. 6 Thus, rs-fMRI provides an approach for detailed investigation of functional networks, as well as a more general method for assessing changes in intrinsic neuronal activity. Unlike task-based methods, measures of intrinsic functional connectivity allow for flexible post hoc analyses that probe multiple functional networks. Additionally, the minimal demands on the patient during the scanning session make the technique an optimal choice for clinical settings.rs-fMRI may offer the prospect of providing therapeutically useful information on both the focal vascular lesion and the connectivity-based reorganization and subsequent functional recovery. Here we provide an overview of recent applications of rs-fMRI to stroke diagnostics and prognostics and discuss future perspectives and considerations. We begin with methods used to characterize local alterations in acute stroke and proceed to describe studies of specific and general connectivity changes at various phases of the recovery process. For a detailed description of the studies reviewed here, see Table I in the online-only Data Supplement. Local Intrinsic BOLD Activity as a Measure of HypoperfusionCorrelation analyses based on the BOLD signal are thought to reflect neuronal synchronization. 7 However, the BOLD signal additionally contains information concerning local blood flow and oxygen consumption 8 and is, therefore, potentially...

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“…A few recent studies, however, showed that higher volumes of WMH are associated with reduced functional connectivity and activation of frontal regions 76 77…”

Section: Vascular Dementiamentioning

confidence: 99%

Brain imaging in dementia

Bonifacio

Zamboni

2016

Postgraduate Medical Journal

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The introduction of MRI and positron emission tomography (PET) brain imaging has contributed significantly to the understanding of different dementia syndromes. Over the past 20 years these imaging techniques have been increasingly used for clinical characterisation and differential diagnosis, and to provide insight into the effects on functional capacity of the brain, patterns of spatial distribution of different dementia syndromes and their natural history and evolution over time. Brain imaging is also increasingly used in clinical trials, as part of inclusion criteria and/or as a surrogate outcome measure. Here we review all the relatively specific findings that can be identified with different MRI and PET techniques in each of the most frequent dementing disorders.

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Early Small Vessel Disease Affects Frontoparietal and Cerebellar Hubs in Close Correlation with Clinical Symptoms—A Resting-State fMRI Study

Cited by 69 publications

References 15 publications

Age-related functional brain changes in young children

Age-related functional brain changes in young children

The Value of Resting-State Functional Magnetic Resonance Imaging in Stroke

Brain imaging in dementia

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