OBJECTIVES: We aimed to investigate associations between neuropsychological indices and normalized volumes of supratentorial structures, and the area of the corpus callosum. MATERIALS AND METHODS: We studied 40 patients with clinically definite MS, using 3D-acquired MRI (MPRAGE, Magnetization Prepared Rapid Acquisition Gradient Echo) and stereology. Subjects underwent a neuropsychological battery interrogating multiple cognitive domains, from which a global Cognitive Index Score (CIS) was derived. RESULTS: White matter volumes were significantly correlated with CIS (rho= -0.59, P<0.0001) and with many of the individual cognitive tests. CIS was also significantly correlated with the corpus callosal area (rho= -0.49, P<0.002). Grey matter volumes did not significantly correlate with any cognitive test. CONCLUSIONS: These volume/function relationships presumably reflect the effects of subcortical axonal and myelin loss on the neural networks that subserve cognition. If serial MRI volume estimations can index accumulating cognitive deficits, this simple technique may be useful in therapeutic trials.
OBJECTIVES: We aimed to investigate associations between neuropsychological indices and normalized volumes of supratentorial structures, and the area of the corpus callosum. MATERIALS AND METHODS: We studied 40 patients with clinically definite MS, using 3D-acquired MRI (MPRAGE, Magnetization Prepared Rapid Acquisition Gradient Echo) and stereology. Subjects underwent a neuropsychological battery interrogating multiple cognitive domains, from which a global Cognitive Index Score (CIS) was derived. RESULTS: White matter volumes were significantly correlated with CIS (rho= -0.59, P<0.0001) and with many of the individual cognitive tests. CIS was also significantly correlated with the corpus callosal area (rho= -0.49, P<0.002). Grey matter volumes did not significantly correlate with any cognitive test. CONCLUSIONS: These volume/function relationships presumably reflect the effects of subcortical axonal and myelin loss on the neural networks that subserve cognition. If serial MRI volume estimations can index accumulating cognitive deficits, this simple technique may be useful in therapeutic trials.
Authors: Flavia Nelson; Sushmita Datta; Nereyda Garcia; Nigel L Rozario; Francisco Perez; Gary Cutter; Ponnada A Narayana; Jerry S Wolinsky Journal: Mult Scler Date: 2011-05-04 Impact factor: 6.312
Authors: Robert J Fox; Christopher S Coffey; Merit E Cudkowicz; Trevis Gleason; Andrew Goodman; Eric C Klawiter; Kazuko Matsuda; Michelle McGovern; Robin Conwit; Robert Naismith; Akshata Ashokkumar; Robert Bermel; Dixie Ecklund; Maxine Koepp; Jeffrey Long; Sneha Natarajan; Srividya Ramachandran; Thomai Skaramagas; Brenda Thornell; Jon Yankey; Mark Agius; Khurram Bashir; Bruce Cohen; Patricia Coyle; Silvia Delgado; Dana Dewitt; Angela Flores; Barbara Giesser; Myla Goldman; Burk Jubelt; Neil Lava; Sharon Lynch; Augusto Miravalle; Harold Moses; Daniel Ontaneda; Jai Perumal; Michael Racke; Pavle Repovic; Claire Riley; Christopher Severson; Shlomo Shinnar; Valerie Suski; Bianca Weinstock-Gutman; Vijayshree Yadav; Aram Zabeti Journal: Contemp Clin Trials Date: 2016-08-10 Impact factor: 2.226