A variety of drought indices were developed to monitor different types of drought, a significant natural hazard with multidimensional impacts. However, no single drought index can capture all dimensions of drought, necessitating a composite drought index (CDI) that integrates a range of indicators. This study proposes a CDI using principal component analysis (PCA) and a temporal dependence assessment (TDA) applied to time series of drought indices in a spatially distributed approach at the basin level. The indices considered include the Simplified Standardized Precipitation Index (SSPI), Simplified Standardized Precipitation-Evapotranspiration Index (SSPEI), soil moisture (SM), Normalized Difference Vegetation Index (NDVI), and streamflow (SF) from two climatically distinct small-sized basins in Portugal. Lag correlation analyses revealed a high contemporaneous correlation between SSPI and SSPEI (r > 0.8) and weaker but significant lagged correlations with SF (r > 0.5) and SM (r > 0.4). NDVI showed lagged and negligible correlations with the other indices. PCA was iteratively applied to the lag correlation-removed matrix of drought indices for all grid points, repeating the procedure for several SSPI/SSPEI time scales. The first principal component (PC1), capturing the majority of the matrix’s variability, was extracted and represented as the CDI for each grid point. Alternatively, the CDI was computed by combining the first and second PCs, using their variances as contribution weights. As PC1 shows its highest loadings on SSPI and SSPEI, with median loading values above 0.52 in all grid points, the proposed CDI demonstrated the highest agreement with SSPI and SSPEI across all grid cells, followed by SM, SF, and NDVI. Comparing the CDI’s performance with an independent indicator such as PDSI, which is not involved in the CDI’s construction, validated the CDI’s ability to comprehensively monitor drought in the studied basins with different hydroclimatological characteristics. Further validation is suggested by including other drought indicators/variables such as crop yield, soil moisture from different layers, and/or groundwater levels.

Background: Studies on the relationship between psychiatric symptoms and brain tumors are ambiguous, as it is not clear whether these symptoms are due to the direct effect of the tumor or a secondary psychological response to stress, resulting from the diagnosis and treatment of the disease; therefore, it is difficult to analyze and retrieve relevant information. Case presentation: We present the case of a 43-year-old male patient, who was admitted to a psychiatric emergency room with psychiatric symptoms, such as restlessness and extreme talkativeness, but normal neurological examinations. He showed no response to outpatient treatment and had no history of psychiatric disorders. The onset of symptoms was 2 months before his visit. On neuroimaging, a brain tumor was observed in the right temporal and occipital lobes. Accordingly, the patient was transferred to the neurosurgery ward. Conclusion: Factors, such as increased internal pressure on the brain due to a brain tumor or the effect of tumor area, contribute to the occurrence of symptoms, such as restlessness and talkativeness. However, further studies are needed to confirm these findings.