OBJECTIVE: To investigate the relationship between white matter tract integrity and language and memory performances in patients with temporal lobe epilepsy (TLE). METHODS: Diffusion tensor imaging (DTI) was performed in 17 patients with TLE and 17 healthy controls. Fractional anisotropy (FA) and mean diffusivity (MD) were calculated for six fiber tracts (uncinate fasciculus [UF], arcuate fasciculus [AF], fornix [FORX], parahippocampal cingulum [PHC], inferior fronto-occipital fasciculus [IFOF], and corticospinal tract [CST]). Neuropsychological measures of memory and language were obtained and correlations were performed to evaluate the relationship between DTI and neuropsychological measures. Hierarchical regression was performed to determine unique contributions of each fiber tract to cognitive performances after controlling for age and hippocampal volume (HV). RESULTS: Increases in MD of the left UF, PHC, and IFOF were associated with poorer verbal memory in TLE, as were bilateral increases in MD of the AF, and decreases in FA of the right AF. Increased MD of the AF and UF, and decreased FA of the AF, UF, and left IFOF were related to naming performances. No correlations were found between DTI measures and nonverbal memory or fluency in TLE. Regression analyses revealed that several fibers, including the AF, UF, and IFOF, independently predicted cognitive performances after controlling for HV. CONCLUSIONS: The results suggest that structural compromise to multiple fiber tracts is associated with memory and language impairments in patients with temporal lobe epilepsy. Furthermore, we provide initial evidence that diffusion tensor imaging tractography may provide clinically unique information for predicting neuropsychological status in patients with epilepsy.
OBJECTIVE: To investigate the relationship between white matter tract integrity and language and memory performances in patients with temporal lobe epilepsy (TLE). METHODS: Diffusion tensor imaging (DTI) was performed in 17 patients with TLE and 17 healthy controls. Fractional anisotropy (FA) and mean diffusivity (MD) were calculated for six fiber tracts (uncinate fasciculus [UF], arcuate fasciculus [AF], fornix [FORX], parahippocampal cingulum [PHC], inferior fronto-occipital fasciculus [IFOF], and corticospinal tract [CST]). Neuropsychological measures of memory and language were obtained and correlations were performed to evaluate the relationship between DTI and neuropsychological measures. Hierarchical regression was performed to determine unique contributions of each fiber tract to cognitive performances after controlling for age and hippocampal volume (HV). RESULTS: Increases in MD of the left UF, PHC, and IFOF were associated with poorer verbal memory in TLE, as were bilateral increases in MD of the AF, and decreases in FA of the right AF. Increased MD of the AF and UF, and decreased FA of the AF, UF, and left IFOF were related to naming performances. No correlations were found between DTI measures and nonverbal memory or fluency in TLE. Regression analyses revealed that several fibers, including the AF, UF, and IFOF, independently predicted cognitive performances after controlling for HV. CONCLUSIONS: The results suggest that structural compromise to multiple fiber tracts is associated with memory and language impairments in patients with temporal lobe epilepsy. Furthermore, we provide initial evidence that diffusion tensor imaging tractography may provide clinically unique information for predicting neuropsychological status in patients with epilepsy.
Authors: H W Robert Powell; Geoff J M Parker; Daniel C Alexander; Mark R Symms; Philip A Boulby; Claudia A M Wheeler-Kingshott; Gareth J Barker; Uta Noppeney; Matthias J Koepp; John S Duncan Journal: Neuroimage Date: 2006-05-02 Impact factor: 6.556
Authors: Nikos Makris; George M Papadimitriou; Andre van der Kouwe; David N Kennedy; Steven M Hodge; Anders M Dale; Thomas Benner; Lawrence L Wald; Ona Wu; David S Tuch; Verne S Caviness; Tara L Moore; Ronald J Killiany; Mark B Moss; Douglas L Rosene Journal: Neurobiol Aging Date: 2006-09-07 Impact factor: 4.673
Authors: Setsu Wakana; Arvind Caprihan; Martina M Panzenboeck; James H Fallon; Michele Perry; Randy L Gollub; Kegang Hua; Jiangyang Zhang; Hangyi Jiang; Prachi Dubey; Ari Blitz; Peter van Zijl; Susumu Mori Journal: Neuroimage Date: 2007-03-20 Impact factor: 6.556
Authors: Leonardo Bonilha; Andréa Alessio; Chris Rorden; Gordon Baylis; Benito P Damasceno; Li Li Min; Fernando Cendes Journal: Hum Brain Mapp Date: 2007-12 Impact factor: 5.038
Authors: G Raboyeau; X De Boissezon; N Marie; S Balduyck; M Puel; C Bézy; J F Démonet; D Cardebat Journal: Neurology Date: 2008-01-22 Impact factor: 9.910
Authors: Paul G Nestor; Marek Kubicki; Noriomi Kuroki; Ronald J Gurrera; Margaret Niznikiewicz; Martha E Shenton; Robert W McCarley Journal: Psychiatry Res Date: 2007-03-28 Impact factor: 3.222
Authors: H W R Powell; G J M Parker; D C Alexander; M R Symms; P A Boulby; G J Barker; P J Thompson; M J Koepp; John S Duncan Journal: J Neurol Neurosurg Psychiatry Date: 2007-11-15 Impact factor: 10.154
Authors: E Widjaja; S Zarei Mahmoodabadi; C Go; C Raybaud; S Chuang; O C Snead; M L Smith Journal: AJNR Am J Neuroradiol Date: 2012-01-26 Impact factor: 3.825
Authors: Katherine E Travis; Jenna N Adams; Vanessa N Kovachy; Michal Ben-Shachar; Heidi M Feldman Journal: Brain Struct Funct Date: 2016-09-15 Impact factor: 3.270
Authors: Lauren R Borchers; Lisa Bruckert; Cory K Dodson; Katherine E Travis; Virginia A Marchman; Michal Ben-Shachar; Heidi M Feldman Journal: Brain Struct Funct Date: 2018-12-11 Impact factor: 3.270
Authors: Cory K Dodson; Katherine E Travis; Lauren R Borchers; Virginia A Marchman; Michal Ben-Shachar; Heidi M Feldman Journal: Dev Med Child Neurol Date: 2018-05-03 Impact factor: 5.449
Authors: Yu-Hsuan A Chang; Nobuko Kemmotsu; Kelly M Leyden; N Erkut Kucukboyaci; Vicente J Iragui; Evelyn S Tecoma; Leena Kansal; Marc A Norman; Rachelle Compton; Tobin J Ehrlich; Vedang S Uttarwar; Anny Reyes; Brianna M Paul; Carrie R McDonald Journal: Brain Lang Date: 2017-04-20 Impact factor: 2.381