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J Heather

Publications and source records attributed to J Heather.

5 recordsLinked to original sources

The physiology of coloured hearing. A PET activation study of colour-word synaesthesia.

In a small proportion of the normal population, stimulation in one modality can lead to perceptual experience in another, a phenomenon known as synaesthesia. In the most common form of synaesthesia, hearing a word can result in the experience of colour. We have used the technique of PET, which detects brain activity as changes of regional cerebral blood flow (rCBF), to study the physiology of colour-word synaesthesia in a group of six synaesthete women. During rCBF measurements synaesthetes and six controls were blindfolded and were presented with spoken words or pure tones. Auditory word, but not tone, stimulation triggered synaesthesia in synaesthetes. In both groups word stimulation compared with tone stimulation activated the classical language areas of the perisylvian regions. In synaesthetes, a number of additional visual associative areas, including the posterior inferior temporal cortex and the parieto-occipital junctions, were activated. The former has been implicated in the integration of colour with shape and in verbal tasks which require attention to visual features of objects to which words refer. Synaesthetes also showed activations in the right prefrontal cortex, insula and superior temporal gyrus. By contrast, no significant activity was detected in relatively lower visual areas, including areas V1, V2 and V4. These results suggest that colour-word synaesthesia may result from the activity of brain areas concerned with language and visual feature integration. In the case of colour-word synaesthesia, conscious visual experience appears to occur without activation of the primary visual cortex.

Adult↗

Functional MR imaging correlations with positron emission tomography. Initial experience using a cognitive activation paradigm on verbal working memory.

The most established functional MR imaging technique for activation studies relies on a T2*-weighted contrast. This signal arises primarily from a blood oxygen level dependent contrast generated by an imbalance between the increase in regional cerebral blood flow and oxygen metabolism in the brain during activation. As predicted by theory, the percentage signal changes observed in functional MR imaging experiments are considerably smaller than those detected by positron emission tomography, which directly measures regional cerebral blood flow as an index of neuronal activity. Cross-validation of functional MR imaging with an established technique such as positron emission tomography would be extremely valuable for determining the correlation between functional MR image signal change and regional cerebral blood flow change and for assessing the sensitivity of the functional MR imaging technique. The authors report on such cross-validation experiments in three subjects challenged with a verbal working memory task and show that satisfactory replication of positron emission tomography results with functional MR imaging was achieved in two subjects. Limitations owing to magnetic field strength used and single-slice sampling may have contributed to the lack of signal detection in the case where no reliable activation pattern was detected with functional MR imaging.

Adult↗

Quality control procedures in positron tomography.

The derivation of physiological parameters in positron tomography relies on accurate calibration of the tomograph. Normally, the calibration relates image pixel count density to the count rate from an external blood counter per unit activity concentration in each device. The quality control of the latter is simple and relies on detector stability assessed by measurement of a standard source of similar geometry to a blood sample. The quality control of the tomographic data depends on (i) detector stability, (ii) uniformity of calibration and normalisation sources and (iii) reproducibility of the attenuation correction procedure. A quality control procedure has been developed for an 8 detector ring (15 transaxial plane) tomograph in which detector response is assessed by acquiring data from retractable transmission ring sources. These are scanned daily and a print out of detector efficiencies is produced as well as changes from a given date. This provides the raw data from which decisions on recalibration or renormalization are made.

Quality Control↗

Aspects of three dimensional reconstruction for a multi ring positron tomograph.

An important feature of multi ring positron tomographs is the inter plane septa, the purpose of which is to reduce random and scattered coincidences. In general, such septa also eliminate the coincidence lines of response between pairs of detectors more than one ring apart. The operation of a camera without septa must result in an increase not only in the true coincidence rate, but also in the singles, and therefore in the dead time and randoms rate, and in the scattered coincidences. A configuration option in the coincidence hardware of the 8 ring, 15 slice ECAT 931/08-12 enables a full set of 64 sinograms to be acquired when the septa are removed. The detector normalisation and transmission data for studies with the septa out can be obtained using a rotating pin source. To take maximum advantage of the additional signal, the emission data must be reconstructed using a fully three dimensional reconstruction algorithm. This paper presents an analysis of some phantom studies acquired without septa and reconstructed in three dimensions. The results are compared with data acquired with septa for the same phantoms imaged under similar conditions. It is found that, with the septa removed, the signal to noise for a uniform, 20 cm diameter cylinder improves by a factor of 2.8 in the centre of the field of view, whereas in regions distant from the centre in the axial direction, the signal to noise decreases due to the increase in scatter and randoms. An improvement in signal to noise is observed in 6 cm of the 10 cm axial length of the tomograph.

Image Processing, Computer-Assisted↗