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Weber, J. C.

Publications and source records attributed to Weber, J. C..

2 recordsLinked to original sources

Differential Cerebral White Matter Tract Alterations in Generalized Anxiety Disorder Revealed by Ultra-High Field 7T Diffusion-Weighted Imaging

BackgroundGeneralized anxiety disorder (GAD) is characterized by chronic worry and emotional dysregulation, yet its underlying white matter (WM) architecture remains inconsistent in previous neuroimaging studies. This study aimed to delineate microstructural WM alterations in GAD using ultra-high field (7T) diffusion tensor imaging (DTI) and advanced correlational tractography, evaluating their associations with symptom severity and diagnostic-aided value. MethodsEighty-eight participants (27 GAD, 61 healthy controls, HCs) underwent 7T DTI scanning with 1.5-mm isotropic resolution. Whole-brain correlational tractography was applied to identify tracts exhibiting significant group-related differences in diffusion indices while controlling for demographic covariates. Associations with Hamilton Anxiety Rating Scale (HAM-A) and Penn State Worry Questionnaire (PSWQ) scores were examined, and machine learning-based models were used to assess the diagnostic-aided utility of identified WM features. ResultsTwo tract bundles showed significant fractional anisotropy (FA) alterations in GAD: decreased FA in the right prefrontal pathway (PFDR = 0.039) and increased FA in the right cingulum (PFDR < 0.001). The anterior portions of both tracts exhibited stronger effects of GAD. FA in the right cingulum positively correlated with HAM-A and PSWQ scores, indicating that greater microstructural coherence was associated with higher anxiety and worry severity (both PFDRs < 0.001). Inclusion of WM features could improve classification performance beyond neuropsychological measures alone. ConclusionsUltra-high field 7T tractometry revealed a differential pattern of WM abnormalities in GAD, suggesting weakened prefrontal control and hyper-integrated cingulate connectivity as structural correlates of emotional dysregulation. These findings indicate the potential of 7T DTI markers for advancing mechanistic and diagnostic understanding of GAD.

neuroscience↗

Functions of farmers’ preferred tree species and their potential carbon stocks in southern Burkina Faso: implications for biocarbon initiatives

The success of terrestrial carbon sequestration projects for rural development in sub-Saharan Africa lies in the (i) involvement of local populations in the selection of woody species, which represent the biological assets they use to meet their daily needs, and (ii) information about the potential of these species to store carbon. Although the latter is a key prerequisite, there is very little information available. To help fill this gap, the present study was undertaken in four pilot villages (Kou, Dao, Vrassan and Cassou) in Ziro Province, south-central Burkina Faso. The objective was to determine carbon storage potential for top-priority woody species preferred by local smallholders. We used (i) participatory rural appraisal consisting of group discussions and key informant interviews to identify priority species and functions, and (ii) landscape assessment of carbon stocks in the preferred woody species. Results revealed over 79 priority tree and shrub species grouped into six functions, of which medicine, food and income emerge as the most important ones for the communities. For these functions, smallholders overwhelmingly listed Vitellaria paradoxa, Parkia biglobosa, Afzelia africana, Adansonia digitata, Detarium microcarpum, and Lannea microcarpa among the most important tree species. Among the preferred woody species in Cassou and Kou, the highest quantity of carbon was stored by V. paradoxa (1,460.6 {+/-}271.0 kg C ha-1 to 2,798.1{+/-}521.0 kg C ha-1) and the lowest by Grewia bicolor (1.6{+/-}1.3 kg C ha-1). The potential carbon stored by the preferred tree communities was estimated at 5,766.2 Mg C ha-1 (95% CI: 5,258.2; 6,274.2 Mg C ha-1) in Kou and 6,664.0 Mg C ha-1 (95% CI: 5,810.2; 7,517.8 Mg C ha-1) in Cassou. The findings of this study will help design data-based development of biocarbon projects, which are rare in the West African Sahel despite being considered as one of the most impactful climate change resilient strategies.

plant biology↗