Jiwandeep S Kohli, Anny Reyes, Austin Hopper, Alena Stasenko, Natalia Menendez, Kathryn R Tringale, Mia Salans, Roshan Karunamuni, Jona A Hattangadi-Gluth, Carrie R McDonald
{"title":"Neuroanatomical profiles of cognitive phenotypes in patients with primary brain tumors.","authors":"Jiwandeep S Kohli, Anny Reyes, Austin Hopper, Alena Stasenko, Natalia Menendez, Kathryn R Tringale, Mia Salans, Roshan Karunamuni, Jona A Hattangadi-Gluth, Carrie R McDonald","doi":"10.1093/noajnl/vdae152","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Patients with brain tumors demonstrate heterogeneous patterns of cognitive impairment, likely related to multifactorial etiologies and variable tumor-specific factors. Cognitive phenotyping offers a patient-centered approach to parsing heterogeneity by classifying individuals based on patterns of impairment. The aim of this study was to investigate the neuroanatomical patterns associated with each phenotype to gain a better understanding of the mechanisms underlying impairments.</p><p><strong>Methods: </strong>Patients with primary brain tumors were recruited for a prospective, observational study. Patients were cognitively phenotyped using latent profile analysis in a prior study, revealing 3 distinct groups: <i>generalized</i>, <i>isolated verbal memory</i>, and <i>minimal impairment</i>. Whole brain cortical thickness (CT), fractional anisotropy, and mean diffusivity (MD) were compared across phenotypes, and associations between imaging metrics and cognitive scores were explored.</p><p><strong>Results: </strong>Neurocognitive, structural MRI, and diffusion MRI data were available for 82 participants at baseline. Compared to the minimal impairment group, the generalized impairment group showed a widespread, bi-hemispheric pattern of decreased CT (<i>P</i>-value range: .004-.049), while the verbal memory impairment group showed decreased CT (<i>P</i>-value range: .006-.049) and increased MD (<i>P</i>-value range: .015-.045) bilaterally in the temporal lobes. In the verbal memory impairment group only, increased parahippocampal MD was associated with lower verbal memory scores (<i>P</i>-values < .01).</p><p><strong>Conclusions: </strong>Cognitive phenotypes in patients with brain tumors showed unique patterns of brain pathology, suggesting different underlying mechanisms of their impairment profiles. These distinct patterns highlight the biological relevance of our phenotyping approach and help to identify areas of structural and microstructural vulnerability that could inform treatment decisions.</p>","PeriodicalId":94157,"journal":{"name":"Neuro-oncology advances","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11445899/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuro-oncology advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/noajnl/vdae152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Patients with brain tumors demonstrate heterogeneous patterns of cognitive impairment, likely related to multifactorial etiologies and variable tumor-specific factors. Cognitive phenotyping offers a patient-centered approach to parsing heterogeneity by classifying individuals based on patterns of impairment. The aim of this study was to investigate the neuroanatomical patterns associated with each phenotype to gain a better understanding of the mechanisms underlying impairments.
Methods: Patients with primary brain tumors were recruited for a prospective, observational study. Patients were cognitively phenotyped using latent profile analysis in a prior study, revealing 3 distinct groups: generalized, isolated verbal memory, and minimal impairment. Whole brain cortical thickness (CT), fractional anisotropy, and mean diffusivity (MD) were compared across phenotypes, and associations between imaging metrics and cognitive scores were explored.
Results: Neurocognitive, structural MRI, and diffusion MRI data were available for 82 participants at baseline. Compared to the minimal impairment group, the generalized impairment group showed a widespread, bi-hemispheric pattern of decreased CT (P-value range: .004-.049), while the verbal memory impairment group showed decreased CT (P-value range: .006-.049) and increased MD (P-value range: .015-.045) bilaterally in the temporal lobes. In the verbal memory impairment group only, increased parahippocampal MD was associated with lower verbal memory scores (P-values < .01).
Conclusions: Cognitive phenotypes in patients with brain tumors showed unique patterns of brain pathology, suggesting different underlying mechanisms of their impairment profiles. These distinct patterns highlight the biological relevance of our phenotyping approach and help to identify areas of structural and microstructural vulnerability that could inform treatment decisions.