paper-with-me

Papers

Insights into Complex Brain Functions Related to Schizophrenia Disorder through Causal Network Analysis

2019-05-28

Gene expression represents a fundamental interface between genes and environment in the development and ongoing plasticity of the human organism. Individual differences in gene expression are likely to underpin much of human diversity, including psychiatric illness. Gene expression shows a distinct regulatory pattern in different tissues. Therefore, brain tissue analysis provides insights into brain disorder mechanisms. Furthermore, mechanistic understanding of gene regulatory pattern can be provided through studying the underlying relationships as a complex network. Identification of brain specific gene relationships provides a complementary framework in which to tackle the complex dysregulations that occur in neuropsychiatric and other neurological disorders. Using a systems approach established in Mendelian randomization and Bayesian Network, we integrated genetic and transcriptomic data from the common-mind consortium and identified transcriptomic causal networks in observational studies. Focusing on Schizophrenia disorder, we identified high impact genes and revealed their underlying pathways in brain tissue. In addition, we generated novel hypotheses including genes as causes of the schizophrenia-associated genes and new genes associated with Schizophrenia. This approach may facilitate a better understanding of the disease mechanism that is complementary to molecular experimental studies especially for complex systems and large-scale data sets.

📄 PDF Abstract BibTeX arXiv:1807.11654

Code (0)

등록된 구현이 없습니다.

Tasks

DiversityNetwork Identification

Similar Papers 제목 키워드 기반

Dynamic Functional Connectivity Features for Brain State Classification: Insights from the Human Connectome Project

2025-10-06 · Valeriya Kirova, Dzerassa Kadieva, Daniil Vlasenko, Isak B. Blank 외 arxiv

We analyze functional magnetic resonance imaging (fMRI) data from the Human Connectome Project (HCP) to match brain activities during a range of cognitive tasks. Our findings demonstrate that even basic linear machine le…

Feature Importance

Brain-inspired probabilistic generative model for double articulation analysis of spoken language

2022-07-06 · Akira Taniguchi, Maoko Muro, Hiroshi Yamakawa, Tadahiro Taniguchi

The human brain, among its several functions, analyzes the double articulation structure in spoken language, i.e., double articulation analysis (DAA). A hierarchical structure in which words are connected to form a sente…

AnatomySentence

D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks

2024-05-28 · Haoyu Hu, Hongrun Zhang, Chao Li

Brain network is an important tool for understanding the brain, offering insights for scientific research and clinical diagnosis. Existing models for brain networks typically primarily focus on brain regions or overlook …

Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision

2023-09-27 · Naveen Kanigiri, Manohar Suggula, Debanjali Bhattacharya, Neelam Sinha

Functional MRI (fMRI) is widely used to examine brain functionality by detecting alteration in oxygenated blood flow that arises with brain activity. This work aims to investigate the neurological variation of human brai…

Semantic SegmentationTime Series

NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders

2025-02-26 · Jun-En Ding, Dongsheng Luo, Anna Zilverstand, Kaustubh Kulkarni 외

Mental disorders are among the most widespread diseases globally. Analyzing functional brain networks through functional magnetic resonance imaging (fMRI) is crucial for understanding mental disorder behaviors. Although …

Functional Connectivity