Current research suggests that human consciousness is associated with complex, synchronous interactions between multiple cortical networks. In particular, the default mode network (DMN) of the resting brain is thought to be altered by changes in consciousness, including the meditative state. However, it remains unclear how meditation alters the fast and ever-changing dynamics of brain activity within this network. Here we addressed this question using simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) to compare the spatial extents and temporal dynamics of the DMN during rest and meditation. Using fMRI, we identified key reductions in the posterior cingulate hub of the DMN, along with increases in right frontal and left temporal areas, in experienced meditators during rest and during meditation, in comparison to healthy controls (HCs). We employed the simultaneously recorded EEG data to identify the topographical microstate corresponding to activation of the DMN. Analysis of the temporal dynamics of this microstate revealed that the average duration and frequency of occurrence of DMN microstate was higher in meditators compared to HCs. Both these temporal parameters increased during meditation, reflecting the state effect of meditation. In particular, we found that the alteration in the duration of the DMN microstate when meditators entered the meditative state correlated negatively with their years of meditation experience. This reflected a trait effect of meditation, highlighting its role in producing durable changes in temporal dynamics of the DMN. Taken together, these findings shed new light on short and long-term consequences of meditation practice on this key brain network.

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The TBSS analysis showed widespread WM abnormalities in PSP patients including areas which have been shown to be involved in previous pathological studies. PSP-RS showed more severe white matter abnormality compared to the PSP-P subtype.

MR volumetry showed abnormalities of various deep GM structures. Shape analysis also revealed focal surface contractions in multiple subcortical structures. Our study highlights the usefulness of this novel technique in detecting abnormalities of deep GM structures.

This case series aimed to describe clinicoradiological, electromyographic, and etiological spectra in palatal tremor (essential=1; symptomatic=26). Patients with symptomatic palatal tremor had 2 to 10 Hz arrhythmic electromyographic bursts, a spectrum of changes in inferior olivary nucleus, with/without lesions in Guillain Mollaret triangle, and varied etiologies (genetic=9, vascular=6, trauma=3, infections=3). Exome sequencing showed variations in POLG, WDR81, NDUFS8, TENM4, and EEF2. Clinical phenotypes of patients with POLG, WDR81, and NDUFS8 variations were consistent with that described in literature. We highlight salient magnetic resonance imaging features, electrophysiological observations, and diverse etiologies in a large cohort of palatal tremor.