Your browser doesn't support javascript.
loading
Network, clinical and sociodemographic features of cognitive phenotypes in temporal lobe epilepsy.
Hermann, Bruce; Conant, Lisa L; Cook, Cole J; Hwang, Gyujoon; Garcia-Ramos, Camille; Dabbs, Kevin; Nair, Veena A; Mathis, Jedidiah; Bonet, Charlene N Rivera; Allen, Linda; Almane, Dace N; Arkush, Karina; Birn, Rasmus; DeYoe, Edgar A; Felton, Elizabeth; Maganti, Rama; Nencka, Andrew; Raghavan, Manoj; Shah, Umang; Sosa, Veronica N; Struck, Aaron F; Ustine, Candida; Reyes, Anny; Kaestner, Erik; McDonald, Carrie; Prabhakaran, Vivek; Binder, Jeffrey R; Meyerand, Mary E.
Afiliación
  • Hermann B; Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. Electronic address: hermann@neurology.wisc.edu.
  • Conant LL; Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Cook CJ; Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Hwang G; Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Garcia-Ramos C; Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Dabbs K; Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Nair VA; Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Mathis J; Department of Radiology Froedtert & Medical College of Wisconsin, Milwaukee, WI, USA.
  • Bonet CNR; Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Allen L; Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Almane DN; Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Arkush K; Neuroscience Innovation Institute, Aurora St. Luke's Medical Center, Milwaukee, WI, USA.
  • Birn R; Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Department of Psychiatry, University of Wisconsin School of Medicine and Publi
  • DeYoe EA; Department of Radiology Froedtert & Medical College of Wisconsin, Milwaukee, WI, USA; Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Felton E; Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Maganti R; Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Nencka A; Department of Radiology Froedtert & Medical College of Wisconsin, Milwaukee, WI, USA.
  • Raghavan M; Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Shah U; Neuroscience Innovation Institute, Aurora St. Luke's Medical Center, Milwaukee, WI, USA.
  • Sosa VN; Neuroscience Innovation Institute, Aurora St. Luke's Medical Center, Milwaukee, WI, USA.
  • Struck AF; Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Ustine C; Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Reyes A; Department of Psychiatry, University of California-San Diego, La Jolla, CA, USA.
  • Kaestner E; Department of Psychiatry, University of California-San Diego, La Jolla, CA, USA.
  • McDonald C; Department of Psychiatry, University of California-San Diego, La Jolla, CA, USA.
  • Prabhakaran V; Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Department of Psychiatry, University of Wisconsin School of Medicine and Publi
  • Binder JR; Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA; Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Meyerand ME; Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Neuroimage Clin ; 27: 102341, 2020.
Article en En | MEDLINE | ID: mdl-32707534
This study explored the taxonomy of cognitive impairment within temporal lobe epilepsy and characterized the sociodemographic, clinical and neurobiological correlates of identified cognitive phenotypes. 111 temporal lobe epilepsy patients and 83 controls (mean ages 33 and 39, 57% and 61% female, respectively) from the Epilepsy Connectome Project underwent neuropsychological assessment, clinical interview, and high resolution 3T structural and resting-state functional MRI. A comprehensive neuropsychological test battery was reduced to core cognitive domains (language, memory, executive, visuospatial, motor speed) which were then subjected to cluster analysis. The resulting cognitive subgroups were compared in regard to sociodemographic and clinical epilepsy characteristics as well as variations in brain structure and functional connectivity. Three cognitive subgroups were identified (intact, language/memory/executive function impairment, generalized impairment) which differed significantly, in a systematic fashion, across multiple features. The generalized impairment group was characterized by an earlier age at medication initiation (P < 0.05), fewer patient (P < 0.001) and parental years of education (P < 0.05), greater racial diversity (P < 0.05), and greater number of lifetime generalized seizures (P < 0.001). The three groups also differed in an orderly manner across total intracranial (P < 0.001) and bilateral cerebellar cortex volumes (P < 0.01), and rate of bilateral hippocampal atrophy (P < 0.014), but minimally in regional measures of cortical volume or thickness. In contrast, large-scale patterns of cortical-subcortical covariance networks revealed significant differences across groups in global and local measures of community structure and distribution of hubs. Resting-state fMRI revealed stepwise anomalies as a function of cluster membership, with the most abnormal patterns of connectivity evident in the generalized impairment group and no significant differences from controls in the cognitively intact group. Overall, the distinct underlying cognitive phenotypes of temporal lobe epilepsy harbor systematic relationships with clinical, sociodemographic and neuroimaging correlates. Cognitive phenotype variations in patient and familial education and ethnicity, with linked variations in total intracranial volume, raise the question of an early and persisting socioeconomic-status related neurodevelopmental impact, with additional contributions of clinical epilepsy factors (e.g., lifetime generalized seizures). The neuroimaging features of cognitive phenotype membership are most notable for disrupted large scale cortical-subcortical networks and patterns of functional connectivity with bilateral hippocampal and cerebellar atrophy. The cognitive taxonomy of temporal lobe epilepsy appears influenced by features that reflect the combined influence of socioeconomic, neurodevelopmental and neurobiological risk factors.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Epilepsia del Lóbulo Temporal / Conectoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: Neuroimage Clin Año: 2020 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Epilepsia del Lóbulo Temporal / Conectoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: Neuroimage Clin Año: 2020 Tipo del documento: Article