1.Diffuse Infiltrating Retinoblastoma in a Posttraumatic Contusion Eyeball in a 7-year-old Filipino Male: A Case Report.
Aramis B. Torrefranca ; Angel Antonette L. Devocio ; Mary Caroline E. Magboo ; Allan Joseph D. Limbago ; Mariel B. Abaquita
Acta Medica Philippina 2026;60(3):99-103
Diffuse infiltrating retinoblastoma is an extremely rare form of retinoblastoma which is characterized by its atypical growth pattern. This unusual presentation adds complexity to the diagnostic process. The purpose of this paper is to report a rare presentation of diffuse infiltrating retinoblastoma presenting after an ocular trauma. We described a 7-year-old Filipino boy presenting with total hyphema following an ocular trauma. Comprehensive ophthalmologic clinical and diagnostic evaluations were performed including visual acuity, slitlamp biomicroscopy, ocular ultrasound, neuroimaging, and histopathology post enucleation to determine diagnosis. The misleading, atypical presentation of diffuse infiltrating retinoblastoma may delay diagnosis. While this dilemma is expected in these scenarios, it should be remembered that timing of diagnosis in retinoblastoma is crucial, as this also equates to optimal management. One should remain vigilant for these uncommon presentations especially in the setting of any intraocular inflammation in children.
Human ; Male ; Child: 6-12 Yrs Old ; Wounds And Injuries ; Visual Acuity ; Retinoblastoma ; Research Report ; Neuroimaging ; Inflammation ; Hyphema ; Contusions
2.Research advances in brain aging and brain age prediction in a high-altitude hypoxic environment
Journal of Apoplexy and Nervous Diseases 2026;43(1):92-96
With the acceleration of global population aging, the assessment and prediction of brain aging have become an important research direction in neuroscience. Brain age, as an indicator for measuring the biological age of the brain, can be used to assess individual cognitive function and predict the risk of neurodegenerative diseases. Neuroimaging techniques can reveal the structure and functional state of the brain, providing an important basis for brain age prediction. The hypoxic environment at high altitudes may accelerate brain aging, and its neuroimaging features provide a unique perspective for assessing brain aging. This article reviews the latest research advances in brain aging and brain age prediction under a high-altitude hypoxia environment, with a focus on the construction of brain age prediction models, the application of sMRI/DTI/fMRI, and the impact of high-altitude hypoxia on brain structure, function, and mechanisms, in order to provide a reference and directions for future research.
Neuroimaging
3.Cortical Morphological Networks Differ Between Gyri and Sulci.
Qingchun LIN ; Suhui JIN ; Guole YIN ; Junle LI ; Umer ASGHER ; Shijun QIU ; Jinhui WANG
Neuroscience Bulletin 2025;41(1):46-60
This study explored how the human cortical folding pattern composed of convex gyri and concave sulci affected single-subject morphological brain networks, which are becoming an important method for studying the human brain connectome. We found that gyri-gyri networks exhibited higher morphological similarity, lower small-world parameters, and lower long-term test-retest reliability than sulci-sulci networks for cortical thickness- and gyrification index-based networks, while opposite patterns were observed for fractal dimension-based networks. Further behavioral association analysis revealed that gyri-gyri networks and connections between gyral and sulcal regions significantly explained inter-individual variance in Cognition and Motor domains for fractal dimension- and sulcal depth-based networks. Finally, the clinical application showed that only sulci-sulci networks exhibited morphological similarity reductions in major depressive disorder for cortical thickness-, fractal dimension-, and gyrification index-based networks. Taken together, these findings provide novel insights into the constraint of the cortical folding pattern to the network organization of the human brain.
Humans
;
Cerebral Cortex/anatomy & histology*
;
Male
;
Female
;
Magnetic Resonance Imaging
;
Adult
;
Connectome/methods*
;
Young Adult
;
Nerve Net/anatomy & histology*
;
Neural Pathways
;
Depressive Disorder, Major/diagnostic imaging*
4.Neural Basis of Categorical Representations of Animal Body Silhouettes.
Neuroscience Bulletin 2025;41(2):211-223
Neural activities differentiating bodies versus non-body stimuli have been identified in the occipitotemporal cortex of both humans and nonhuman primates. However, the neural mechanisms of coding the similarity of different individuals' bodies of the same species to support their categorical representations remain unclear. Using electroencephalography (EEG) and magnetoencephalography (MEG), we investigated the temporal and spatial characteristics of neural processes shared by different individual body silhouettes of the same species by quantifying the repetition suppression of neural responses to human and animal (chimpanzee, dog, and bird) body silhouettes showing different postures. Our EEG results revealed significant repetition suppression of the amplitudes of early frontal/central activity at 180-220 ms (P2) and late occipitoparietal activity at 220-320 ms (P270) in response to animal (but not human) body silhouettes of the same species. Our MEG results further localized the repetition suppression effect related to animal body silhouettes in the left supramarginal gyrus and left frontal cortex at 200-440 ms after stimulus onset. Our findings suggest two neural processes that are involved in spontaneous categorical representations of animal body silhouettes as a cognitive basis of human-animal interactions.
Humans
;
Animals
;
Male
;
Electroencephalography
;
Magnetoencephalography
;
Female
;
Young Adult
;
Adult
;
Pattern Recognition, Visual/physiology*
;
Brain Mapping
;
Photic Stimulation
;
Brain/physiology*
;
Dogs
5.Functional Connectivity Encodes Sound Locations by Lateralization Angles.
Renjie TONG ; Shaoyi SU ; Ying LIANG ; Chunlin LI ; Liwei SUN ; Xu ZHANG
Neuroscience Bulletin 2025;41(2):261-271
The ability to localize sound sources rapidly allows human beings to efficiently understand the surrounding environment. Previous studies have suggested that there is an auditory "where" pathway in the cortex for processing sound locations. The neural activation in regions along this pathway encodes sound locations by opponent hemifield coding, in which each unilateral region is activated by sounds coming from the contralateral hemifield. However, it is still unclear how these regions interact with each other to form a unified representation of the auditory space. In the present study, we investigated whether functional connectivity in the auditory "where" pathway encoded sound locations during passive listening. Participants underwent functional magnetic resonance imaging while passively listening to sounds from five distinct horizontal locations (-90°, -45°, 0°, 45°, 90°). We were able to decode sound locations from the functional connectivity patterns of the "where" pathway. Furthermore, we found that such neural representation of sound locations was primarily based on the coding of sound lateralization angles to the frontal midline. In addition, whole-brain analysis indicated that functional connectivity between occipital regions and the primary auditory cortex also encoded sound locations by lateralization angles. Overall, our results reveal a lateralization-angle-based representation of sound locations encoded by functional connectivity patterns, which could add on the activation-based opponent hemifield coding to provide a more precise representation of the auditory space.
Humans
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Sound Localization/physiology*
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Male
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Female
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Magnetic Resonance Imaging
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Young Adult
;
Functional Laterality/physiology*
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Adult
;
Brain Mapping
;
Auditory Cortex/physiology*
;
Acoustic Stimulation
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Auditory Pathways/physiology*
;
Brain/physiology*
6.Brain White Matter Changes in Non-demented Individuals with Color Discrimination Deficits and Their Association with Cognitive Impairment: A NODDI Study.
Jiejun ZHANG ; Peilin HUANG ; Lin LIN ; Yingzhe CHENG ; Weipin WENG ; Jiahao ZHENG ; Yixin SUN ; Shaofan JIANG ; Xiaodong PAN
Neuroscience Bulletin 2025;41(8):1364-1376
Previous studies have found associations between color discrimination deficits and cognitive impairments besides aging. However, investigations into the microstructural pathology of brain white matter (WM) associated with these deficits remain limited. This study aimed to examine the microstructural characteristics of WM in the non-demented population with abnormal color discrimination, utilizing Neurite Orientation Dispersion and Density Imaging (NODDI), and to explore their correlations with cognitive functions and cognition-related plasma biomarkers. The tract-based spatial statistic analysis revealed significant differences in specific brain regions between the abnormal color discrimination group and the healthy controls, characterized by increased isotropic volume fraction and decreased neurite density index and orientation dispersion index. Further analysis of region-of-interest parameters revealed that the isotropic volume fraction in the bilateral anterior thalamic radiation, superior longitudinal fasciculus, cingulum, and forceps minor was significantly correlated with poorer performance on neuropsychological assessments and to varying degrees various cognition-related plasma biomarkers. These findings provide neuroimaging evidence that WM microstructural abnormalities in non-demented individuals with abnormal color discrimination are associated with cognitive dysfunction, potentially serving as early markers for cognitive decline.
Humans
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White Matter/pathology*
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Male
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Female
;
Cognitive Dysfunction/physiopathology*
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Middle Aged
;
Aged
;
Color Perception/physiology*
;
Brain/pathology*
;
Neuropsychological Tests
;
Diffusion Tensor Imaging
7.Comprehensive Brain-wide Mapping of Afferent and Efferent Nuclei Associated with the Heart in the Mouse.
Haiying LIU ; Xin HUANG ; Ruixin XIA ; Xin ZHAO ; Zimeng LI ; Qian LIU ; Congye LI ; Honghui MAO ; Wenting WANG ; Shengxi WU
Neuroscience Bulletin 2025;41(10):1743-1760
Normal heart function depends on complex regulation by the brain, and abnormalities in the brain‒heart axis affect various diseases, such as myocardial infarction and anxiety disorders. However, systematic tracking of the brain regions associated with the input and output of the heart is lacking. In this study, we injected retrograde transsynaptic pseudorabies virus (PRV) and anterograde transsynaptic herpes simplex virus (HSV) into the left ventricular wall of mice to identify the whole-brain regions associated with the input to and output from the heart. We successfully detected PRV and HSV expression in at least 170 brain subregions in both male and female mice. Sex differences were discovered mainly in the hypothalamus and medulla, with male mice exhibiting greater correlation and hierarchical clustering than female mice, indicating reduced similarity and increased modularity of virus expression patterns in male mice. Further graph theory and multiple linear regression analysis of different injection timelines revealed that hub regions of PRV had highly similar clusters, with different brain levels, suggesting a top-down, hierarchically transmitted neural control pattern of the heart. Hub regions of HSV had scattered clusters, with brain regions gathered in the cortex and brainstem, suggesting a bottom-up, leapfrog, multipoint neural sensing pattern of the heart. Both patterns contain many hub brain regions that have been previously overlooked in brain‒heart axis studies. These results provide brain targets for future research and will lead to deeper insight into the brain mechanisms involved in specific heart conditions.
Animals
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Male
;
Female
;
Heart/physiology*
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Mice
;
Herpesvirus 1, Suid
;
Brain/physiology*
;
Mice, Inbred C57BL
;
Brain Mapping
;
Efferent Pathways/physiology*
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Afferent Pathways/physiology*
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Simplexvirus
;
Sex Characteristics
8.Graph Neural Networks and Multimodal DTI Features for Schizophrenia Classification: Insights from Brain Network Analysis and Gene Expression.
Jingjing GAO ; Heping TANG ; Zhengning WANG ; Yanling LI ; Na LUO ; Ming SONG ; Sangma XIE ; Weiyang SHI ; Hao YAN ; Lin LU ; Jun YAN ; Peng LI ; Yuqing SONG ; Jun CHEN ; Yunchun CHEN ; Huaning WANG ; Wenming LIU ; Zhigang LI ; Hua GUO ; Ping WAN ; Luxian LV ; Yongfeng YANG ; Huiling WANG ; Hongxing ZHANG ; Huawang WU ; Yuping NING ; Dai ZHANG ; Tianzi JIANG
Neuroscience Bulletin 2025;41(6):933-950
Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans
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Schizophrenia/pathology*
;
Diffusion Tensor Imaging/methods*
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Male
;
Female
;
Adult
;
Brain/metabolism*
;
Young Adult
;
Middle Aged
;
White Matter/pathology*
;
Gene Expression
;
Nerve Net/diagnostic imaging*
;
Graph Neural Networks
9.Mapping Brain-Wide Neural Activity of Murine Attentional Processing in the Five-Choice Serial Reaction Time Task.
Yin YUE ; Youming TAN ; Pin YANG ; Shu ZHANG ; Hongzhen PAN ; Yiran LANG ; Zengqiang YUAN
Neuroscience Bulletin 2025;41(5):741-758
Attention is the cornerstone of effective functioning in a complex and information-rich world. While the neural activity of attention has been extensively studied in the cortex, the brain-wide neural activity patterns are largely unknown. In this study, we conducted a comprehensive analysis of neural activity across the mouse brain during attentional processing using EEG and c-Fos staining, utilizing hierarchical clustering and c-Fos-based functional network analysis to evaluate the c-Fos activation patterns. Our findings reveal that a wide range of brain regions are activated, notably in the high-order cortex, thalamus, and brain stem regions involved in advanced cognition and arousal regulation, with the central lateral nucleus of the thalamus as a strong hub, suggesting the crucial role of the thalamus in attention control. These results provide valuable insights into the neural network mechanisms underlying attention, offering a foundation for formulating functional hypotheses and conducting circuit-level testing.
Animals
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Attention/physiology*
;
Mice
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Brain/physiology*
;
Male
;
Electroencephalography
;
Reaction Time/physiology*
;
Brain Mapping
;
Mice, Inbred C57BL
;
Choice Behavior/physiology*
;
Proto-Oncogene Proteins c-fos/metabolism*
10.Evolution of the Rich Club Properties in Mouse, Macaque, and Human Brain Networks: A Study of Functional Integration, Segregation, and Balance.
Xiaoru ZHANG ; Ming SONG ; Wentao JIANG ; Yuheng LU ; Congying CHU ; Wen LI ; Haiyan WANG ; Weiyang SHI ; Yueheng LAN ; Tianzi JIANG
Neuroscience Bulletin 2025;41(9):1630-1644
The rich club, as a community of highly interconnected nodes, serves as the topological center of the network. However, the similarities and differences in how the rich club supports functional integration and segregation in the brain across different species remain unknown. In this study, we first detected and validated the rich club in the structural networks of mouse, monkey, and human brains using neuronal tracing or diffusion magnetic resonance imaging data. Further, we assessed the role of rich clubs in functional integration, segregation, and balance using quantitative metrics. Our results indicate that the presence of a rich club facilitates whole-brain functional integration in all three species, with the functional networks of higher species exhibiting greater integration. These findings are expected to help to understand the relationship between brain structure and function from the perspective of brain evolution.
Animals
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Humans
;
Brain/diagnostic imaging*
;
Mice
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Male
;
Nerve Net/diagnostic imaging*
;
Macaca
;
Female
;
Neural Pathways/diagnostic imaging*
;
Magnetic Resonance Imaging
;
Biological Evolution
;
Adult
;
Diffusion Magnetic Resonance Imaging
;
Brain Mapping
;
Species Specificity
;
Mice, Inbred C57BL

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