The vertical occipital fasciculus (VOF) is an association fiber tract coursing vertically at the posterolateral corner of the brain. It is re-evaluated as a major fiber tract to link the dorsal and ventral visual stream. Although previous tractography studies showed the Vof's cortical projections fall in the dorsal and ventral visual areas, the post-mortem dissection study for the validation remains limited. first, to validate the previous tractography data, we here performed the white matter dissection in post-mortem brains and demonstrated the VOF's fiber bundles coursing between the V3A/B areas and the posterior fusiform gyrus. Secondly, we analyzed the VOF's structural connectivity with diffusion tractography to link vision-associated cortical areas of the HCP MMP1.0 atlas, an updated map of the human cerebral cortex. Based on the criteria the VOF courses laterally to the inferior longitudinal fasciculus (iLf) and craniocaudally at the posterolateral corner of the brain, we reconstructed the VOF's fiber tracts and found the widespread projections to the visual cortex. These findings could suggest a crucial role of Vof in integrating visual information to link the broad visual cortex as well as in connecting the dual visual stream. The VOF is the fiber tract that courses vertically at the posterolateral corner of the brain. The VOF was historically described in monkey by Wernicke 1 and then in human by Obersteiner 2. It is re-evaluated by the advances in neuroimaging methods such as tractography, as a major association fiber tract to connect the dorsal and ventral visual cortex 3-6. Previous tractography studies showed the cortical projections of the VOF fall in the dorsal (e.g., V3A, V3B, V3d, IPS-0) and the ventral visual areas (e.g., hV4, VO-1, VO-2) as well as in the lateral occipital cortex (e.g., LO-1, LO-2) 4,7,8. However, there is no modern white matter dissection study to validate directly the results of VOF tractography. Tractography using diffusion-weighted magnetic resonance imaging (DWI) has been widely used to estimate noninvasively connections between gray matter regions. This method, although elegant and elective, is prone to multiple artifacts due to "crossing, branching, merging, and termination" pitfalls 9,10. It is also difficult to validate the data due to the lack of ground truth. In contrast, the modern white matter fiber dissection, although complex and time consuming, is a scientific procedure that could provide a thorough three-dimensional understanding of gray and white matter structures 11. Many tracts and fasciculi were discovered by pioneer works of fiber dissection in neuroanatomy. However, fiber dissection lost its significance at the beginning of the twentieth century with the introduction of microtome and histological techniques. Klingler's technique, a modern white matter dissection method, was developed in the 1930s, which is a modified method to facilitate the isolation of white matter tracts 12. In this context, the fiber tracts and anatomical features in tractography stud...

The neuroinflammation in the ischemic brain could occur as sterile inflammation in response to damage-associated molecular patterns (DAMPs). However, its long-term dynamic transcriptional changes remain poorly understood. It is also unknown whether this neuroinflammation contributes to the recovery or just deteriorates the outcome. The purpose of this study is to characterize the temporal transcriptional changes in the post-stroke brain focusing on DAMPs-related genes by RNA-sequencing during the period of 28 days. We conducted the RNA-sequencing on day 1, 3, 7, 14, 28 post-stroke in the mouse photothrombosis model. The gross morphological observation showed the ischemic lesion on the ipsilateral cortex turned into a scar with the clearance of cellular debris by day 28. The transcriptome analyses indicated that post-stroke period of 28 days was classified into four categories (I Baseline, II Acute, III Sub-acute-#1, IV Sub-acute-#2 phase). During this period, the well-known genes for DAMPs, receptors, downstream cascades, pro-inflammatory cytokines, and phagocytosis were transcriptionally increased. The gene ontology (GO) analysis of biological process indicated that differentially expressed genes (DEGs) are genetically programmed to achieve immune and inflammatory pathways. Interestingly, we found the biphasic induction of various genes, including DAMPs and pro-inflammatory factors, peaking at acute and sub-acute phases. At the subacute phase, we also observed the induction of genes for phagocytosis as well as regulatory and growth factors. Further, we found the activation of CREB (cAMP-response element binding protein), one of the key players for neuronal plasticity, in peri-ischemic neurons by immunohistochemistry at this phase. Taken together, these findings raise the possibility the recurrent inflammation occurs at the sub-acute phase in the post-stroke brain, which could be involved in the debris clearance as well as neural reorganization.

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The intervention at the stage of mild cognitive impairment (MCI) is promising for preventing Alzheimer’s disease (AD). This study aims to search for the optimal machine learning (ML) model to classify early and late MCI (EMCI and LMCI) subtypes using multimodal MRI data. First, the tract-based spatial statistics (TBSS) analyses showed LMCI-related white matter changes in the Corpus Callosum. The ROI-based tractography addressed the connected cortical areas by affected callosal fibers. We then prepared two feature subsets for ML by measuring resting-state functional connectivity (TBSS-RSFC method) and graph theory metrics (TBSS-Graph method) in these cortical areas, respectively. We also prepared feature subsets of diffusion parameters in the regions of LMCI-related white matter alterations detected by TBSS analyses. Using these feature subsets, we trained and tested multiple ML models for EMCI/LMCI classification with cross-validation. Our results showed the ensemble ML model (AdaBoost) with feature subset of diffusion parameters achieved better performance of mean accuracy 70%. The useful brain regions for classification were those, including frontal, parietal lobe, Corpus Callosum, cingulate regions, insula, and thalamus regions. Our findings indicated the optimal ML model using diffusion parameters might be effective to distinguish LMCI from EMCI subjects at the prodromal stage of AD.

The intraparietal sulcus (IPS) in the posterior parietal cortex (PPC) is well-known as an interface for sensorimotor integration in visually guided actions. However, our understanding of the human neural network between the IPS and the cortical visual areas has been devoid of anatomical specificity. We here identified a distinctive association fiber tract “IPS-FG” to connect the IPS areas and the fusiform gyrus (FG), a high-level visual region, by white matter dissection and tractography. The major fiber bundles of this tract appeared to arise from the medial bank of IPS, in the superior parietal lobule (SPL), and project to the FG on the ventral temporal cortex (VTC) in post-mortem brains. This tract courses vertically at the temporo-parieto-occipital (TPO) junction where several fiber tracts intersect to connect the dorsal-to-ventral cortical regions, including the vertical occipital fasciculus (VOF). We then analyzed the structural connectivity of this tract with diffusion-MRI (magnetic resonance imaging) tractography. The quantitative tractography analysis revealed the major streamlines of IPS-FG interconnect the posterior IPS areas (e.g., IP1, IPS1) with FG (e.g., TF, FFC, VVC, PHA2, PIT) on the Human Connectome Project multimodal parcellation atlas (HCP MMP 1.0). Since the fronto-parietal network, including the posterior IPS areas, is recruited by multiple cognitive demands, the IPS-FG could play a role in the visuomotor integration as well as the top-down modulation of various cognitive functions reciprocally.