Resting Inter-hemispheric fMRI Connectivity Predicts Performance after Stroke

By Alexander R. Carter, Serguei V. Astafiev, Catherine E. Lang, L. Connor, J. Rengachary, M. J. Strube, Daniel Pope, G. L. Shulman, Maurizio Corbetta. Annals of Neurology, 2009

715 citations recorded by the source corpus.

Focal brain lesions can have important remote effects on the function of distant brain regions. The resulting network dysfunction may contribute significantly to behavioral deficits observed after stroke. This study investigates the behavioral significance of changes in the coherence of spontaneous activity in distributed networks after stroke by measuring resting state functional connectivity (FC) using functional magnetic resonance imaging.

Subfields: Cognitive Neuroscience, Neurology

View Paper: https://www.semanticscholar.org/paper/15dce801b362ca066658c8914e8a258e8a9d304a

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Citations in the corpus

Function in the Human Connectome: Task-fMRI and Individual Differences in Behavior (2013, background): “, 2012), neurological disorders such as stroke (Carter et al., 2010; He et al., 2007), Tourette syndrome (Church et al.”
The Human Connectome Project: A data acquisition perspective (2012, background): “, 2006), or across domains and connectivity patterns, as in comparing motor behavior to measures of connectivity across networks such as motor and attention (Carter et al., 2010).”
Dynamic causal modeling of cortical activity from the acute to the chronic stage after stroke (2011, neutral): “In contrast, fMRI studies investigating resting state functional connectivity of the sensorimotor system provided evidence for a supportive role of the interhemispheric functional connectivity between sensorimotor cortices (Carter et al., 2010; van Meer et al., 2010).”
Growing together and growing apart: Regional and sex differences in the lifespan developmental trajectories of functional homotopy (2010, background): “…et al., 2003; Liang et al., 2006), Alzheimer’s disease (Lakmache et al., 1998; Pogarell et al., 2005), multiple sclerosis (Mesulam, 1998; Cover et al., 2006; Lowe et al., 2008), attention deficit hyperactivity disorder (Clarke et al., 2008), and stroke (He et al., 2007; Carter et al., 2010).”
Measuring and manipulating brain connectivity with resting state functional connectivity magnetic resonance imaging (fcMRI) and transcranial magnetic stimulation (TMS) (2012, background): “, 2007), and hemiparesis (Carter et al., 2010), and can differentiate normal controls from patients with Alzheimer's disease (Greicius et al.”
Why use a connectivity-based approach to study stroke and recovery of function? (2012, neutral): “For example, the correlation between inter-hemispheric connectivity and motor behavior is particularly strong for regions within the central sulcus (Carter et al., 2010).”