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This study intends to investigate the frequency specific of brain oscillation activity in patients with acute basal ganglia ischemic stroke (BGIS) by using degree centrality (DC) method. Here, 34 acute BGIS patients and 43 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (rs-fMRI) scanning to investigate abnormal neural activity using the DC method within three frequency bands: conventional band (0.01-0.08Hz), slow‑4 band (0.027-0.073Hz), slow‑5 band (0.01-0.027Hz). Moreover, correlation between abnormal DC values and clinical indicators was performed. In conventional band, compare to HCs, BGIS patients exhibited increased DC values in the right superior temporal gyrus, right superior frontal gyrus and left angular gyrus. In slow-4 band, BGIS patients showed greater increased DC values in the bilateral precentral gyrus. In slow-5 band, BGIS patients presented increased DC values in the left precuneus, bilateral caudate, left angular gyrus and vermis_4_5. Additionally, the DC values increased in the right caudate (r=0.400; p =0.019) and vermis_4_5 (r=0.431; p =0.011) in slow-5 band were positively correlated with NIHSS and the DC values increased in the right caudate (r=-0.339; p =0.050) were negatively correlated with BI in patients. Our findings showed that the DC changes in BGIS were frequency specific and the slow-5 band could be more sensitive to examine the DC changes, and revealed that the DC changes reflected the potential neurobiological mechanism of brain functional reorganization in patients with acute BGIS.

As a developmental disorder, autism spectrum disorder has drawn much attention due to its severe impacts on language capacity. Broca area, an important brain region of language network, has largely involved in language-related functions. Using Autism Brain Image Data Exchange (ABIDE) dataset, a total of 1454 participants (618 ASD and 836 HCs) were included in our research. In order to detect the pathophysiological mechanism of autism spectrum disorder from the perspective of language, we conducted a functional connectivity analysis with Broca as the seed in multiple frequency bands (conventional: 0.01–0.08 Hz; slow-4: 0.027–0.073 Hz; slow-5: 0.01–0.027 Hz). We found that compared with healthy controls, patients with autism spectrum disorder have demonstrated increased functional connectivity in left thalamus, left precuneus, left anterior cingulate and paracingulate gyri, and left medial orbital of the superior frontal gyrus in conventional frequency band (0.01-0.08Hz). The results of slow-5 frequency band (0.01-0.027Hz) presented increased functional connectivity values of left precuneus, left medial orbital of the superior frontal gyrus, right medial orbital of the superior frontal gyrus and right thalamus. No significant cluster was detected in the slow-4 frequency band (0.027-0.073Hz). In conclusion, the abnormal functional connectivity in patients with autism spectrum disorder has frequency-specific properties. Furthermore, the findings of conventional frequency bands (0.01-0.08Hz) were mainly contributed by slow-5 (0.01-0.027Hz). The current study might shed new light on the pathophysiological mechanism of language impairments in autism spectrum disorder.

Default mode network (DMN) is the most involved network in the study of brain development and brain diseases. Resting-state functional connectivity (rs-FC) is the most used method to study DMN, but different studies are inconsistent in the selection of seed. To evaluate the effect of different seed selection on rs-FC, we conducted an image-based meta-analysis (IBMA). We identified 59 coordinates of seed regions of interest (ROIs) within the default mode network (DMN) from 11 studies (retrieved from Web of Science and Pubmed) to calculate the functional connectivity; then, the uncorrected t maps were obtained from the statistical analyses. The IBMA was performed with the t maps. We demonstrate that the overlap of meta-analytic maps across different seeds’ ROIs within DMN is relatively low, which cautions us to be cautious with seeds’ selection. Future studies using the seed-based functional connectivity method should take the reproducibility of different seeds into account. The choice of seed may significantly affect the connectivity results.

Objective: CSF1R-related leukoencephalopathy is an adult-onset white matter disease with high disability and mortality, while current diagnostic approaches are prone to misdiagnosis and not sensitive enough for pre-clinical alternations. This study introduced amplitude of low-frequency fluctuations (ALFF) and regional homogeneity (ReHo) based on resting-state functional MRI (rsfMRI) to compare the spontaneous brain activities of patients and healthy controls, aiming to provide early clues for disease onset and enhance our understanding of the disease.Methods: RsfMRI was performed on 11 patients and 23 healthy controls and preprocessed for calculation of ALFF and ReHo. Permutation tests with threshold free cluster enhancement (number of permutations =5,000) was applied for comparison. Voxels with P value10 voxels was considered with significant difference.Results: Compared to controls, the patient group showed decreased ALFF in right paracentral lobule and precentral gyrus, and increased ALFF in left dorsolateral superior frontal gyrus, left postcentral gyrus, left precentral gyrus, right precuneus, as well as bilateral insula, parahippocampal gyrus, hippocampus, midbrain and cingulate gyrus. Decreased ReHo was found in bilateral supplementary motor area and paracentral lobule of patients, while ReHo increased in right superior occipital gyrus, right precentral gyrus, left angular gyrus, as well as bilateral parahippocampal gyrus, hippocampus, middle occipital gyrus, supramarginal gyrus and extra-nuclear.Conclusion: These results revealed altered spontaneous brain activities in CSF1R-related leukoencephalopathy, especially in limbic system and supplementary motor area, which may serve as an early biomarker for the onset, and shed light on disease mechanisms.