Reorganization Of Neural Networks Research Articles

Cerebral networks in sensorimotor stroke

Brain infarctions induce direct abnormalities within the damaged hemisphere and in distant areas, as well as indirect changes in the brain reflecting the lesion-induced deficit. As the patients recover, recovery-related changes occur. The lesion-related, deficit-related and recovery-related changes were studied by measurements of the regional cerebral metabolism and blood flow in patients with their first hemiparetic brain infarction. Since brain lesions are expected to affect cerebral networks subserving information processing and control of behaviour, multivariate types of image analysis were applied to functional brain imaging data. Here, we report our results on disease-related abnormalities and postlesional reorganisation of neural networks after sensorimotor stroke.

Increases in mRNA levels for Tα1-tubulin in the rat kindling model of epilepsy

The expression of mRNA for Tα1-tubulin, a cytoskeletal protein, was studied in the rat kindling model of epilepsy. The Tα1-tubulin mRNA level increased significantly in the dentate gyrus (DG) and CA3 of hippocampus ipsilateral to stimulation from 8 h to 4 weeks after amygdaloid kindled seizures. The peak increase was observed at 1 week after the last seizures both in the DG and CA3. These results suggest that the microtubule formation contributes to synaptic remodeling and reorganization of neural networks, which may be based on the kindling-inducing epileptogenesity.

Spatiotemporal Dynamics of Brain-Derived Neurotrophic Factor mRNA Induction in the Vestibulo-Olivary Network during Vestibular Compensation

Vestibular compensation, which is the behavioral recovery from vestibular dysfunction produced by unilateral labyrinthectomy (UL), is attributed to functional and structural reorganization of neural networks in the central vestibular system. To assess the possible contribution of brain-derived neurotrophic factor (BDNF) to this recovery process, we investigated changes in mRNA expression levels in the central vestibular system after UL. We evaluated BDNF mRNA expression levels by quantitative reverse transcription-PCR and in situ hybridization. We found that BDNF mRNA is differentially induced in the medial vestibular nucleus ipsilateral to UL and in the prepositus hypoglossi and inferior olive on the contralateral side. The BDNF mRNA induction lasted for at least 24 hr and returned to the basal expression level within 72 hr after UL. In contrast to BDNF mRNA induction, the expression of an immediate-early gene, c-fos, quickly reached the maximum level at 3 hr and decreased to the basal level within 24 hr after UL. Neither BDNF or c-fos induction was observed in sham-operated animals. The persistent induction of BDNF after UL temporally corresponded to early behavioral manifestations of vestibular compensation. We further found that trkB mRNA was expressed in the central vestibular network at high levels, although its expression levels did not change over time after UL. Because BDNF is implicated in regulating synaptic structure and function, these results provide support for the hypothesis that BDNF is involved in neuronal reorganization that allows vestibular compensation.

Cerebral networks in sensorimotor disturbances

Increasing evidence suggests that the human brain employs multiple, interconnected brain areas for information processing and control of behavior, including the performance of laboratory tasks. Brain diseases are expected to affect these networks directly by interference and indirectly as a consequence of deficit compensation. Covariance analyses applied to functional brain imaging data open the opportunity to study neural networks and their disease-related changes in the human brain. Here, we review our analytic approach based on principal component analysis (PCA) to address such questions. We will discuss its methodological foundations and applications in patients with sensorimotor disorders. We will show that PCA in combination with, both, hypothesis-driven testing and correlation statistics provides a powerful tool for elucidating disease-related abnormalities and postlesional reorganization of neural networks in the human brain.

Activation of contralateral premotor cortex and medial wall motor areas of humans in an auditory conditional motor task detected by MRI

Epilepsy is associated with disruption of integration in distributed networks, together with altered localization for functions such as expressive language. The relation between atypical network connectivity and altered localization is unknown. In the current study we tested whether atypical expressive language laterality was associated with the alteration of large-scale network integration in children with medically-intractable localization-related epilepsy (LRE). Twenty-three right-handed children (age range 8–17) with medically-intractable LRE performed a verb generation task in fMRI. Language network activation was identified and the Laterality index (LI) was calculated within the pars triangularis and pars opercularis. Resting-state data from the same cohort were subjected to independent component analysis. Dual regression was used to identify associations between resting-state integration and LI values. Higher positive values of the LI, indicating typical language localization were associated with stronger functional integration of various networks including the default mode network (DMN). The normally symmetric resting-state networks showed a pattern of lateralized connectivity mirroring that of language function. The association between atypical language localization and network integration implies a widespread disruption of neural network development. These findings may inform the interpretation of localization studies by providing novel insights into reorganization of neural networks in epilepsy.