OBJECTIVE Intraventricular hemorrhage (IVH) is found in approximately 40% of intracerebral hemorrhages and is associated with increased mortality and poor functional outcome. Cognitive impairment is one of the complications and occurs due to various pathological changes. Amyloid beta (Aβ) accumulation and neuroinflammation, and the Alzheimer disease-like pathology, may contribute to cognitive impairment. Iron, the degradation product of hemoglobin, correlates with Aβ. In this study, the authors investigated the correlation between Aβ accumulation with enhanced neuroinflammation and cognitive impairment in a rat model of IVH. METHODS Nine male Sprague-Dawley rats underwent an intraventricular injection of autologous blood. Another 9 rats served as controls. Cognitive function was assessed by the Morris water maze and T-maze rewarded alternation tests. Biomarkers of Aβ accumulation, neuroinflammation, and c-Jun N-terminal kinase (JNK) activation were examined. RESULTS Cognitive function was impaired in the autologous blood injection group compared with the control group. In the blood injection group, Aβ accumulation was observed, with a co-located correlation between iron storage protein ferritin and Aβ. Beta-site amyloid precursor protein cleaving enzyme-1 (BACE1) activity was elevated. Microgliosis and astrogliosis were observed in hippocampal CA1, CA2, CA3, and dentate gyrus areas, with elevated proinflammatory cytokines tumor necrosis factor-α and interleukin-1. Protein levels of phosphorylated JNK were increased after blood injection. CONCLUSIONS Aβ accumulation and enhanced neuroinflammation have a role in cognitive impairment after IVH. A potential therapeutic method requires further investigation.

Resting-state functional MRI (R-fMRI) research has recently entered the era of “big data”, however, few studies have provided a rigorous validation of the physiological underpinnings of R-fMRI indices. Although studies have reported that various neuropsychiatric disorders exhibit abnormalities in R-fMRI measures, these “biomarkers” have not been validated in differentiating structural lesions (brain tumors) as a concept proof. We enrolled 60 patients with intracranial tumors located in the unilateral cranialcavity and 60 matched normal controls to test whether R-fMRI indices can differentiate tumors, which represents a prerequisite for adapting such indices as biomarkers for neuropsychiatric disorders. Common R-fMRI indices of tumors and their counterpart control regions, which were defined as the contralateral normal areas (for amplitude of low frequency fluctuations (ALFF), fractional ALFF (fALFF), regional homogeneity (ReHo) and degree centrality (DC)) and ipsilateral regions surrounding the tumors (for voxel-mirrored homotopic connectivity (VMHC)), were comprehensively assessed. According to robust paired t-tests with a Bonferroni correction, only VMHC (Fisher's r-to-z transformed) could successfully differentiate substantial tumors from their counterpart normal regions in patients. Furthermore, ALFF and DC were not able to differentiate tumor from normal unless Z-standardization was employed. To validate the lower power of the between-subject design compared to the within-subject design, each metric was calculated in a matched control group, and robust two-sample t-tests were used to compare the patient tumors and the normal controls at the same place. Similarly, only VMHC succeeded in differentiating significant differences between tumors and the sham tumor areas of normal controls. This study tested the premise of R-fMRI biomarkers for differentiating lesions, and brings a new understanding to physical significance of the Z-standardization.

HIGHLIGHTS 1. We mathematically prove the meaning of synapses as the parameter of a nonlinear equation set, in which spike frequency of each neuron can meet the solutions. 2. Some advanced brain functions are feasible in this neurobionic material model. 3. The model based on our simplification is practical in biomaterial field.