<Human Brain Mapping>Old papers

Key word search: brain connectivity AND stroke

some related brain network and connectivity works published on Human Brain Mapping

2013 Altered topological properties of the cortical motor-related network in patients with subcortical stroke revealed by graph theoretical analysis

24 subcortical stroke patients, only left motor pathway damaged + 24 matched healthy controls. 20 brain regions from cortical motor-related network remote from the primary lesion was constructed.focused on cortical motor-related regions remote to the site of the lesion. To control homogeneity of the network, which was not directly attacked by lesion in any stroke patient.

Conclusion:

cortical motor-related network in both healthy controls and stroke patients exhibited small-world topologylocal efficiency(both the local efficiency and normalized local efficiency) of this network in stroke patients is higher than and global efficiency(also normalized) is lower than those in healthy controls.striking alterations in the betweenness centrality of regions were found in stroke patients, including the contralesional supplementary motor area, dorsolateral premotor cortex, and anterior inferior cerebellum. significant correlations between betweenness centrality of regions and Fugl-Meyer assessment scores (hand + wrist) .the betweenness centrality of the contralesional dorsal premotor cortex was significantly decreased in stroke patients compared with that in healthy controlsA tendency for the cortical motor-related network to be close to a regular configuration.altered betweenness centrality of regions were demonstrated in patients with subcortical stroke. Significantly increased connectivity was found between the left middle frontal cortex and right anterior inferior cerebellum and between the left ventrolateral premotor cortex and left primary motor cortex, left postcentral gyrus, and right postcentral gyrus.Significantly decreased connectivity between the left middle frontal cortex and left ventrolateral premotor cortex; between the right middle frontal cortex and left primary motor cortex; and between the left postcentral gyrus and right postcentral gyrus

Through task-based functional neuroimaging, overactivation of the ipsilesional primary sensorimotor cortex (S1M1), bilateral secondary motor cortex, and even certain non-motor areas has been observed.

Longitudinal studies have indicated less overactivation in a number of primary and non-primary motor regions following functional recovery after stroke.Additionally, Marshall et al. [2000] described that the ratio of contralateral to ipsilateral S1M1 activity during movement of the paretic hand significantly increased over time as the paretic hand regained function. longitudinal changes in resting-state functional connectivity of the ipsilesional primary motor cortex (M1) with contralesional S1M1, frontal cortex, parietal lobe, thalamus, and cerebellum during motor recovery have also been reportedHowever, the motor execution network included subcortical ROIs (i.e., basal ganglia and thalamus) that were directly involved in the infarct in a portion of stroke patients, possibly influencing their results, due to heterogeneity of the network.The frontal cortex has been demonstrated to play an important role in functional reorganization after stroke.In addition, we added a ROI from the ipsilesional postcentral gyrus because dysfunctional connectivity of the ipsilesional postcentral gyrus with both ipsilesional M1 and contralesional M1 were observed in patients with subcortical stroke.The network sparsity (i.e., connection density) defined as the number of existing connections divided by all possible connections, was commonly used as a threshold to produce a graph.We also performed statistical comparisons of GE, LE, normalized GE, normalized LE, and BCi between the two subgroups using a general linear model with considering age, gender, and lesion volume as covariates for each metric over a range of sparsity, as well as between each subgroup with healthy controls using a general linear model with considering age and gender as covariates. We found no significant differences between stroke patients and healthy controls in age and gender.

Notes: - cost(threshold) 取一个区间，每个都计算一下，绘制成连线图，加入significant的点 - 考虑 both binary and weighted networks. - 选的ROI，remote from both lesion & near lesion.

2010 The role of the unaffected hemisphere in motor recovery after stroke

Recent fMRI studies evaluating different motor tasks have reported an enhanced activation in premotor and sensorimotor areas of the undamaged hemisphere during the early stages of spontaneous recovery after subcortical stroke

2016 Altered whole-brain connectivity in albinism

We thresholded the graphs over a density range of 0.1–0.4, in steps of 0.02. This range represents a compromise between being too dense to show small-world properties and being so sparse that fragmentation begins to occurThese (graph) metrics were selected based on their reproducibility and frequency of appearance in the literature.This study investigated the functional and structural architecture of brain networks and connectivity of the visual cortex in people with albinism relative to healthy controls.

2016 Corticostriatal connectivity fingerprints: Probability maps based on resting-state functional connectivity

Resting-state fMRI (rs-fMRI) data were obtained from the 1000 Functional Connectome Project (http://fcon_1000.projects.nitrc.org/), including only subjects between age 18 and 46 years (N = 284).