Výsledky vyhledávání - "imaging genetics"

Akademický článek

Identification of genetic basis of brain imaging by group sparse multi-task learning leveraging summary statistics

Autor: Duo Xi, Dingnan Cui, Mingjianan Zhang, Jin Zhang, Muheng Shang, Lei Guo, Junwei Han, Lei Du

Publikováno v: Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 3288-3299 (2024)

Brain imaging genetics is an evolving neuroscience topic aiming to identify genetic variations related to neuroimaging measurements of interest. Traditional linear regression methods have shown success, but their reliance on individual-level imaging

Externí odkaz: https://doaj.org/article/0db239b4c63543e38f3d5adcb06919ab

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Akademický článek

Application of a localized morphometrics approach to imaging-derived brain phenotypes for genotype-phenotype associations in pediatric mental health and neurodevelopmental disorders

Autor: Gabrielle Dagasso, Matthias Wilms, Sarah J. MacEachern, Nils D. Forkert

Publikováno v: Frontiers in Big Data, Vol 7 (2024)

IntroductionQuantitative global or regional brain imaging measurements, known as imaging-specific or -derived phenotypes (IDPs), are commonly used in genotype-phenotype association studies to explore the genomic architecture of the brain and how it m

Externí odkaz: https://doaj.org/article/32fd1024268a4e46a2492999848266ba

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Akademický článek

Joint modeling of human cortical structure: Genetic correlation network and composite-trait genetic correlation

Autor: Jiangnan Shen, Yiliang Zhang, Zhaohan Zhu, Youshu Cheng, Biao Cai, Yize Zhao, Hongyu Zhao

Publikováno v: NeuroImage, Vol 297, Iss , Pp 120739- (2024)

Heritability and genetic covariance/correlation quantify the marginal and shared genetic effects across traits. They offer insights on the genetic architecture of complex traits and diseases. To explore how genetic variations contribute to brain func

Externí odkaz: https://doaj.org/article/a3b746206ce34c39ac160256dfbfb55f

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Akademický článek

Multi-modal deep learning from imaging genomic data for schizophrenia classification

Autor: Ayush Kanyal, Badhan Mazumder, Vince D. Calhoun, Adrian Preda, Jessica Turner, Judith Ford, Dong Hye Ye

Publikováno v: Frontiers in Psychiatry, Vol 15 (2024)

BackgroundSchizophrenia (SZ) is a psychiatric condition that adversely affects an individual’s cognitive, emotional, and behavioral aspects. The etiology of SZ, although extensively studied, remains unclear, as multiple factors come together to con

Externí odkaz: https://doaj.org/article/8467abcb741d4fdb9d77164c3638cfd0

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Akademický článek

The neuroanatomical substrates of autism and ADHD and their link to putative genomic underpinnings

Publikováno v: Molecular Autism, Vol 14, Iss 1, Pp 1-14 (2023)

Abstract Background Autism spectrum disorders (ASD) are neurodevelopmental conditions accompanied by differences in brain development. Neuroanatomical differences in autism are variable across individuals and likely underpin distinct clinical phenoty

Externí odkaz: https://doaj.org/article/48d830bcd6af483b8cb5548ecb4a5519

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Akademický článek

Fusion of brain imaging genetic data for alzheimer’s disease diagnosis and causal factors identification using multi-stream attention mechanisms and graph convolutional networks

Autor: Peng, Wei ^{a, b, ⁎}, Ma, Yanhan ^{a, b, 1}, Li, Chunshan ^{a, b, 1}, Dai, Wei ^{a, b}, Fu, Xiaodong ^{a, b}, Liu, Li ^{a, b}, Liu, Lijun ^{a, b}, Liu, Jin ^c

Publikováno v: In Neural Networks April 2025 184

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Akademický článek

Multimodal analysis of disease onset in Alzheimer’s disease using Connectome, Molecular, and genetics data

Autor: Sewook Oh, Sunghun Kim, Jong-eun Lee, Bo-yong Park, Ji Hye Won, Hyunjin Park

Publikováno v: NeuroImage: Clinical, Vol 43, Iss , Pp 103660- (2024)

Alzheimer’s disease (AD) and its related age at onset (AAO) are highly heterogeneous, due to the inherent complexity of the disease. They are affected by multiple factors, such as neuroimaging and genetic predisposition. Multimodal integration of v

Externí odkaz: https://doaj.org/article/e59ff1c1081943b7a3c9ca27db872745

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Akademický článek

Neuroimaging feature extraction using a neural network classifier for imaging genetics

Autor: Cédric Beaulac, Sidi Wu, Erin Gibson, Michelle F. Miranda, Jiguo Cao, Leno Rocha, Mirza Faisal Beg, Farouk S. Nathoo

Publikováno v: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-18 (2023)

Abstract Background Dealing with the high dimension of both neuroimaging data and genetic data is a difficult problem in the association of genetic data to neuroimaging. In this article, we tackle the latter problem with an eye toward developing solu

Externí odkaz: https://doaj.org/article/571fc28948e549a38eba00d216b673af

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Akademický článek

Identification and discovery of imaging genetic patterns using fusion self-expressive network in major depressive disorder

Autor: Mengqian Pang, Xiaoyun Liu, Xiaoke Hao, Meiling Wang, Chunming Xie, Li Zhang, Yonggui Yuan

Publikováno v: Frontiers in Neuroscience, Vol 17 (2023)

IntroductionMajor depressive disorder (MDD) is a prevalent mental illness, with severe symptoms that can significantly impair daily routines, social interactions, and professional pursuits. Recently, imaging genetics has received considerable attenti

Externí odkaz: https://doaj.org/article/ce97957831e445c59f00007d15a7d573

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