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Biomedical subjects

Alexandra Golby

Publications and source records attributed to Alexandra Golby.

3 recordsLinked to original sources

Memory encoding in Alzheimer's disease: an fMRI study of explicit and implicit memory.

Alzheimer's disease is the most common cause of dementia in older adults. Although the cognitive deficits and pathologic hallmarks of Alzheimer's disease have been well characterized, few functional imaging studies have examined the functional competency of specific brain regions and their relationship to specific behavioural memory deficits in Alzheimer's disease. We used functional MRI (fMRI) to examine seven early stage Alzheimer's disease patients and seven healthy age-matched neurologically normal control subjects during intentional encoding of scenes. Subjects viewed blocks of novel scenes, repeated scenes or baseline. Data were analysed using whole-brain statistical parametric mapping and region of interest approaches. The Alzheimer's disease group demonstrated impaired explicit recognition memory, but intact implicit memory (repetition priming), for the scenes. Alzheimer's disease patients demonstrated a graded deficit in activation for novel versus repeated scenes along the ventral visual stream, with most impaired activation changes in the mesial temporal lobe (MTL) and fusiform regions, most preserved activations in primary visual cortex and variably affected activations in secondary visual areas. Group-level correlations with behavioural measures of explicit memory were found in MTL, lingual and fusiform areas, whereas correlations with priming were found in lateral occipital, parietal and frontal areas. Together, these fMRI findings indicate a dissociation in Alzheimer's disease between impaired explicit memory encoding in MTL and fusiform regions and intact implicit encoding in earlier-stage occipital cortex.

Aged↗

Capturing intraoperative deformations: research experience at Brigham and Women's Hospital.

During neurosurgical procedures the objective of the neurosurgeon is to achieve the resection of as much diseased tissue as possible while achieving the preservation of healthy brain tissue. The restricted capacity of the conventional operating room to enable the surgeon to visualize critical healthy brain structures and tumor margin has lead, over the past decade, to the development of sophisticated intraoperative imaging techniques to enhance visualization. However, both rigid motion due to patient placement and nonrigid deformations occurring as a consequence of the surgical intervention disrupt the correspondence between preoperative data used to plan surgery and the intraoperative configuration of the patient's brain. Similar challenges are faced in other interventional therapies, such as in cryoablation of the liver, or biopsy of the prostate. We have developed algorithms to model the motion of key anatomical structures and system implementations that enable us to estimate the deformation of the critical anatomy from sequences of volumetric images and to prepare updated fused visualizations of preoperative and intraoperative images at a rate compatible with surgical decision making. This paper reviews the experience at Brigham and Women's Hospital through the process of developing and applying novel algorithms for capturing intraoperative deformations in support of image guided therapy.

Algorithms↗

Minimalist approach: functional mapping.

The ability to accurately map functional cortex both preoperatively and intraoperatively is an important neurosurgical challenge for the next decade. The central concept of preoperative mapping is to superimpose blood flow and electrical activation data on a three-dimensional matrix created by MR imaging and image processing. The gold standard, at present, is direct cortical stimulation, which can identify primary motor, sensory, speech, and visual cortices. Cortical mapping can be performed intraoperatively or through implanted subdural electrodes at the bedside. The tasks for the next decade include the validation of these preoperative techniques (fMRI, MEG, TMS, EP): 1. Correlation of direct cortical stimulation with advanced perioperative stimulation/monitoring systems, in a wide variety of cases. In addition, extension of these applications into intraoperative imaging systems like the GE Signa unit should also be envisaged. 2. Evaluation of how various pathologies such as AVMs, well-circumscribed tumors, and infiltrative tumors affect the data obtained by these techniques. 3. Expansion of mapping to areas outside the primary motor and sensory cortices, including those referred to as "associative" and to higher functions collectively termed as "cognition."

Brain↗