Kohli Jiwandeep S, Reyes Anny, Hopper Austin, Stasenko Alena, Menendez Natalia, Tringale Kathryn R, Salans Mia, Karunamuni Roshan, Hattangadi-Gluth Jona A, McDonald Carrie R
Department of Psychiatry, University of California San Diego, La Jolla, California, USA.
Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
Neurooncol Adv. 2024 Aug 29;6(1):vdae152. doi: 10.1093/noajnl/vdae152. eCollection 2024 Jan-Dec.
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.
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: , , and . 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.
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 (-value range: .004-.049), while the verbal memory impairment group showed decreased CT (-value range: .006-.049) and increased MD (-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 (-values < .01).
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.
脑肿瘤患者表现出异质性的认知障碍模式,这可能与多因素病因及肿瘤特异性因素的差异有关。认知表型分析提供了一种以患者为中心的方法,通过根据损伤模式对个体进行分类来剖析这种异质性。本研究的目的是探究与每种表型相关的神经解剖学模式,以更好地理解损伤背后的机制。
招募原发性脑肿瘤患者进行一项前瞻性观察研究。在之前的一项研究中,使用潜在剖面分析对患者进行认知表型分析,发现了3个不同的组: 、 和 。比较了不同表型之间的全脑皮质厚度(CT)、分数各向异性和平均扩散率(MD),并探讨了成像指标与认知分数之间的关联。
82名参与者在基线时可获得神经认知、结构MRI和扩散MRI数据。与轻度损伤组相比,广泛性损伤组显示出广泛的双侧半球CT降低模式(P值范围:.004-.049),而言语记忆损伤组双侧颞叶的CT降低(P值范围:.006-.049)且MD增加(P值范围:.015-.045)。仅在言语记忆损伤组中,海马旁MD增加与较低言语记忆分数相关(P值<0.01)。
脑肿瘤患者的认知表型显示出独特的脑病理模式,提示其损伤特征存在不同潜在机制。这些不同模式突出了我们表型分析方法的生物学相关性,并有助于识别可能为治疗决策提供依据的结构和微结构易损区域。