Relationship between Gyrus Rectus Resection and Cognitive Impairment after Surgery for Ruptured Anterior Communicating Artery Aneurysms

Joo, Myung Sung; Park, Dong Sun; Moon, Chang Taek; Chun, Young Il; Song, Sang Woo; Roh, Hong Gee

doi:10.7461/jcen.2016.18.3.223

Cited by 31 publications

(28 citation statements)

References 19 publications

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“…The specific function for left gyrus rectus and right gyrus rectus has not yet been brought to light. However, subgroup analysis showed the negative impact of gyrus rectus resection on language and memory recall categories [19]. Ballmaier M. et al had reported that very significant strong gray matter defects were observed in the gyrus rectus [20].…”

Section: Discussionmentioning

confidence: 99%

Genome-wide Variant-based Study of Genetic Effects with the Largest Neuroanatomic Coverage

Liu

et al. 2020

Preprint

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Background: Brain image genetics provides enormous opportunities for examining the effects of genetic variations on the brain. Many studies have shown that the structure, function, and abnormality (e.g., those related to Alzheimer's disease) of the brain are heritable. However, which genetic variations contribute to these phenotypic changes is not completely clear. Advances in neuroimaging and genetics have led us to obtain detailed brain anatomy and genome-wide information. These data offer us new opportunities to identify genetic variations such as single nucleotide polymorphisms ( SNPs ) that affect brain structure. In this paper, we perform a genome-wide variant-based study, and aim to identify top SNPs or SNP sets which have genetic effects with the largest neuroanotomic coverage at both voxel and region-of-interest ( ROI ) levels. Based on the voxelwise genome-wide association study ( GWAS ) results, we used the exhaustive search to find the top SNPs or SNP sets that have the largest voxel -based or ROI -based neuroanatomic coverage. For SNP sets with > 2 SNPs , we proposed an efficient genetic algorithm to identify top SNP sets that can cover all ROIs or a specific ROI . Results: We identified an ensemble of top SNPs , SNP -pairs and SNP -sets, whose effects have the largest neuroanatomic coverage. Experimental results on real imaging genetics data show that the proposed genetic algorithm is superior to the exhaustive search in terms of computational time for identifying top SNP -sets. Conclusions: We proposed and applied an informatics strategy to identify top SNPs , SNP -pairs and SNP -sets that have genetic effects with the largest neuroanatomic coverage. The proposed genetic algorithm offers an efficient solution to accomplish the task, especially for identifying top SNP -sets.

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Section: Discussionmentioning

confidence: 99%

Genome-wide Variant-based Study of Genetic Effects with the Largest Neuroanatomic Coverage

Liu

et al. 2020

Preprint

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“…The specific function for left gyrus rectus and right gyrus rectus has not yet been brought to light. However, subgroup analysis showed the negative impact of gyrus rectus resection on language and memory recall categories [21]. Ballmaier M. et al had reported that very significant strong gray matter defects were observed in the gyrus rectus [22].…”

Section: Discussionmentioning

confidence: 99%

Genome-wide Variant-based Study of Genetic Effects with the Largest Neuroanatomic Coverage

Liu

Huang

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Brain image genetics provides enormous opportunities for examining the effects of geneticvariations on the brain. Many studies have shown that the structure, function, and abnormality (e.g., thoserelated to Alzheimer's disease) of the brain are heritable. However, which genetic variations contribute to thesephenotypic changes is not completely clear. Advances in neuroimaging and genetics have led us to obtaindetailed brain anatomy and genome-wide information. These data offer us new opportunities to identify geneticvariations such as single nucleotide polymorphisms (SNPs) that affect brain structure. In this paper, we performa genome-wide variant-based study, and aim to identify top SNPs or SNP sets which have genetic effects withthe largest neuroanotomic coverage at both voxel and region-of-interest (ROI) levels. Based on the voxelwisegenome-wide association study (GWAS) results, we used the exhaustive search to nd the top SNPs or SNPsets that have the largest voxel-based or ROI-based neuroanatomic coverage. For SNP sets with >2 SNPs, weproposed an efficient genetic algorithm to identify top SNP sets that can cover all ROIs or a specific ROI.Results: We identified an ensemble of top SNPs, SNP-pairs and SNP-sets, whose effects have the largestneuroanatomic coverage. Experimental results on real imaging genetics data show that the proposed geneticalgorithm is superior to the exhaustive search in terms of computational time for identifying top SNP-sets.Conclusions: We proposed and applied an informatics strategy to identify top SNPs, SNP-pairs and SNP-setsthat have genetic effects with the largest neuroanatomic coverage. The proposed genetic algorithm others anefficient solution to accomplish the task, especially for identifying top SNP-sets.

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“…Hence, the gyrus rectus may associate with cognitive and memory functions. Joo et al ( 40 ) reported that the gyrus rectus resection had a temporary negative influence on memory recall and language. Qiu et al ( 41 ) showed that the gyrus rectus played a vital role in efficient communications.…”

Section: Discussionmentioning

confidence: 99%

Weighted Random Support Vector Machine Clusters Analysis of Resting-State fMRI in Mild Cognitive Impairment

Luo

et al. 2018

Front. Psychiatry

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The identification of abnormal cognitive decline at an early stage becomes an increasingly significant conundrum to physicians and is of major interest in the studies of mild cognitive impairment (MCI). Support vector machine (SVM) as a high-dimensional pattern classification technique is widely employed in neuroimaging research. However, the application of a single SVM classifier may be difficult to achieve the excellent classification performance because of the small-sample size and noise of imaging data. To address this issue, we propose a novel method of the weighted random support vector machine cluster (WRSVMC) in which multiple SVMs were built and different weights were given to corresponding SVMs with different classification performances. We evaluated our algorithm on resting state functional magnetic resonance imaging (RS-fMRI) data of 93 MCI patients and 105 healthy controls (HC) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. The maximum accuracy given by the WRSVMC is 87.67%, demonstrating excellent diagnostic power. Furthermore, the most discriminative brain areas have been found out as follows: gyrus rectus (REC.L), precentral gyrus (PreCG.R), olfactory cortex (OLF.L), and middle occipital gyrus (MOG.R). These findings of the paper provide a new perspective for the clinical diagnosis of MCI.

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Relationship between Gyrus Rectus Resection and Cognitive Impairment after Surgery for Ruptured Anterior Communicating Artery Aneurysms

Cited by 31 publications

References 19 publications

Genome-wide Variant-based Study of Genetic Effects with the Largest Neuroanatomic Coverage

Genome-wide Variant-based Study of Genetic Effects with the Largest Neuroanatomic Coverage

Genome-wide Variant-based Study of Genetic Effects with the Largest Neuroanatomic Coverage

Weighted Random Support Vector Machine Clusters Analysis of Resting-State fMRI in Mild Cognitive Impairment

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