Anterior temporal lobe resections (ATLR) provide an effective treatment option for patients with medically refractory temporal lobe epilepsy (TLE) rendering up to 70% of them seizure free. The goal of epilepsy surgery is to remove the brain areas generating the seizures without causing neuropsychological deficits such as language or memory dysfunction. Furthermore up to 60% of patients with TLE suffer from emotional disturbances following surgery. The principle aim of the work presented in this thesis was to improve presurgical evaluation of patients with TLE by using cognitive functional MRI (fMRI) to non-invasively localise brain areas that are essential for processing cognitive function such as language and memory function and emotional and social behaviour. 150 consecutive patients and 40 healthy controls were included in our experiments. Different fMRI paradigms for the evaluation of cognitive functions have been implemented on a 3 Tesla scanner. All subjects underwent language and memory fMRI and standard neuropsychological assessment; those patients who proceeded to have temporal lobe surgery were reinvestigated 4 months following ATLR. We studied the efficiency of reorganisation of language and memory function due to the underlying disease and in particular following ATLR. Amygdala fMRI was used to investigate potential implications on emotional and social outcome. A major part of the work included in this thesis has concentrated on the use of fMRI for the exploration and prediction of postoperative complications such as language and memory impairment but also emotional disturbances. When used in concert with other MR imaging modalities the results of these methods can be used to improve surgical strategies tailored to individual patients with regard to functional outcome, by virtue of definition of epileptic cerebral areas that need to be resected and eloquent areas that need to be spared.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:632100 |
| Date | January 2014 |
| Creators | Bonelli-Nauer, S. B. |
| Publisher | University College London (University of London) |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://discovery.ucl.ac.uk/1455537/ |
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