Background: Tuberous sclerosis complex (TSC) is characterized by cortical tubers, determining cortical disarrangement and consequently drug-resistant epilepsy, intellectual disability, and TSC-associated neuropsychiatric disorders (TAND). Aim of the study: To establish whether gyrification index (GI), a software-based neuroradiological parameter, could be associated with the severity of phenotype in TSC, identifying the cortical regions that are more associated with the severity of the main clinical manifestations. Methods: This was a retrospective cross-sectional study. Magnetic resonance imaging was acquired on a 1.5-T scanner. CAT12 toolbox was used for the estimation of GI. Data analysis was performed with Jamovi. The level of significance was set to P < 0.05 for all tests. Results: Forty-five patients with TSC and 42 healthy controls were included. Patients with TSC were characterized by higher total GI (P = 0.002) compared with healthy controls. Among patients with TSC, a higher total GI was associated with impaired neurological examination (P = 0.039), epilepsy (P = 0.017), intellectual disability (P = 0.013), TAND (P = 0.013), and higher number of cortical tubers (P < 0.001). An increased local GI in specific cortical areas was associated with TAND and autism spectrum disorders. Conclusions: GI is a software-based neuroradiological parameter that could represent a reliable overall prognostic marker in TSC. Local GI can be used to identify phenotype-specific gyrification patterns allowing an early characterization of patients with TSC. (c) 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Cortical Gyrification Is Associated With the Clinical Phenotype in Tuberous Sclerosis Complex
Trevisan, Nicolò;Sambataro, Fabio;Nosadini, Margherita;Sartori, Stefano;Manara, Renzo;Toldo, Irene
2024
Abstract
Background: Tuberous sclerosis complex (TSC) is characterized by cortical tubers, determining cortical disarrangement and consequently drug-resistant epilepsy, intellectual disability, and TSC-associated neuropsychiatric disorders (TAND). Aim of the study: To establish whether gyrification index (GI), a software-based neuroradiological parameter, could be associated with the severity of phenotype in TSC, identifying the cortical regions that are more associated with the severity of the main clinical manifestations. Methods: This was a retrospective cross-sectional study. Magnetic resonance imaging was acquired on a 1.5-T scanner. CAT12 toolbox was used for the estimation of GI. Data analysis was performed with Jamovi. The level of significance was set to P < 0.05 for all tests. Results: Forty-five patients with TSC and 42 healthy controls were included. Patients with TSC were characterized by higher total GI (P = 0.002) compared with healthy controls. Among patients with TSC, a higher total GI was associated with impaired neurological examination (P = 0.039), epilepsy (P = 0.017), intellectual disability (P = 0.013), TAND (P = 0.013), and higher number of cortical tubers (P < 0.001). An increased local GI in specific cortical areas was associated with TAND and autism spectrum disorders. Conclusions: GI is a software-based neuroradiological parameter that could represent a reliable overall prognostic marker in TSC. Local GI can be used to identify phenotype-specific gyrification patterns allowing an early characterization of patients with TSC. (c) 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Pubblicazioni consigliate
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