Purpose: We sought to investigate the relationship between interictal personality changes and white matter abnormalities in epilepsy patients.
Methods: A total of 65 individuals with epilepsy and 40 demographically matched controls were evaluated by Eysenck Personality Questionnaire (EPQ) and diffusion tensor imaging (DTI) on 3T. Fractional anisotropy (FA) values of fibers were acquired. The relationship between EPQ scores, clinical variables and FA values was confirmed by Pearson correlation analysis and multiple linear regression analysis.
Results: Epilepsy patients had higher psychoticism scores (P score) and lower extraversion scores (E score) compared with controls. P scores were higher in patients with long duration (>10 years) and taking multiple antiepileptic drugs. No difference was found in E score according to all the clinical variables. Epilepsy patients showed significantly lower mean FA value compared with healthy controls in the bilateral uncinate fasciculus, cingulum bundle, arcuate fasciculus and forceps minor of the corpus callosum. Multivariate linear regression analysis revealed that duration of epilepsy and FA value of the right arcuate fasciculus was independent risk factors of psychoticism in epilepsy patients.
Conclusions: Long disease duration and impairment of arcuate fasciculus integrity may predispose the development of psychoticism in patients with epilepsy. Our results provide important insights into the pathophysiological mechanisms underlying personality change in epilepsy.
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http://dx.doi.org/10.1016/j.seizure.2011.07.002 | DOI Listing |
Alzheimers Dement
December 2024
Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA
Background: Diffusion MRI (dMRI) metrics of brain microstructure offer valuable insight into Alzheimer’s disease (AD) pathology; recent reports have identified dMRI metrics that (1) tightly link with CSF or PET measures of amyloid and tau burden; and (2) mediate the relationship between CSF markers of AD and delayed logical memory performance, commonly impaired in early AD [1,2]. To better localize white matter tract disruption in AD, our BUndle ANalytic (BUAN) [3] tractometry pipeline allows principled use of statistical methods to map factors affecting microstructural metrics along the 3D length of the brain’s fiber tracts. Here, we extended BUAN to pool data from multiple scanning protocols/sites ‐ using a new approach, based on ComBat [4,5], a widely‐used harmonization method modeling variations in multi‐site datasets due to site‐ and scanner‐specific effects.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Imeka Solutions Inc, Sherbrooke, QC, Canada
Background: Diffusion MRI (dMRI) measures are variable across sites and MRI vendors, which leads to a in the reported quantitative white matter metrics (Figure 1). ComBat is currently the go‐to method for harmonizing MRI data. However, to our knowledge, the harmonization power of ComBat has not been convincingly demonstrated on the ADNI cohort and was never tested in the context of normative assessment for Alzheimer’s disease (AD) patients.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA
Background: Diffusion MRI (dMRI) metrics of brain microstructure offer valuable insight into Alzheimer’s disease (AD) pathology; recent reports have identified dMRI metrics that (1) tightly link with CSF or PET measures of amyloid and tau burden; and (2) mediate the relationship between CSF markers of AD and delayed logical memory performance, commonly impaired in early AD [1,2]. To better localize white matter tract disruption in AD, our BUndle ANalytic (BUAN) [3] tractometry pipeline allows principled use of statistical methods to map factors affecting microstructural metrics along the 3D length of the brain’s fiber tracts. Here, we extended BUAN to pool data from multiple scanning protocols/sites ‐ using a new harmonized tractometry approach, based on ComBat [4,5], a widely‐used harmonization method modeling variations in multi‐site datasets due to site‐ and scanner‐specific effects.
View Article and Find Full Text PDFBrain Sci
December 2024
Neuroinformatics Laboratory (NiLab), Bruno Kessler Foundation (FBK), 39123 Trento, Italy.
In glioma surgery, maximizing the extent of resection while preserving cognitive functions requires an understanding of the unique architecture of the white matter (WM) pathways of the single patient and of their spatial relationship with the tumor. Tractography enables the reconstruction of WM pathways, and bundle segmentation allows the identification of critical connections for functional preservation. This study evaluates the effectiveness of a streamline-based approach for bundle segmentation on a clinical dataset as compared to the traditional ROI-based approach.
View Article and Find Full Text PDFBrain Cogn
December 2024
Department of Neuroscience, University of Padova, Italy; Padova Neuroscience Center, University of Padova, Italy. Electronic address:
Mixed Transcortical Aphasia (MTA) is an infrequent aphasic syndrome, characterized by poor comprehension and production in oral language abilities and poor performance in written language abilities. However, individuals with MTA typically retain the ability to repeat. Our patient, a woman who suffered from a left hemisphere ischemic stroke involving perisylvian areas, presented with repetition preserved for words, non-words, sentences and numbers, together with marginally preserved reading abilities.
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