Biomedical subjects

Ian Spence

Publications and source records attributed to Ian Spence.

6 recordsLinked to original sources

PubMed2006

How color enhances visual memory for natural scenes.

We offer a framework for understanding how color operates to improve visual memory for images of the natural environment, and we present an extensive data set that quantifies the contribution of color in the encoding and recognition phases. Using a continuous recognition task with colored and monochrome gray-scale images of natural scenes at short exposure durations, we found that color enhances recognition memory by conferring an advantage during encoding and by strengthening the encoding-specificity effect. Furthermore, because the pattern of performance was similar at all exposure durations, and because form and color are processed in different areas of cortex, the results imply that color must be bound as an integral part of the representation at the earliest stages of processing.

Adult↗

PubMed2004

Automated morphometric analysis of the cat retinal alpha/Y, beta/X and delta ganglion cells using wavelet statistical moment and clustering algorithms.

Computational morphological analysis comprises the development of measures (indicators) that describe different form attributes of a neuron and provides additional parameters for classification algorithms. Our work addressed the problem of small group sizes often encountered in neuromorphological and neurophysiological research, automated classification tasks (unsupervised learning) and introduced a new morphological measure: the wavelet statistical moment. We analysed cat alpha/Y, beta/X and delta Golgi-stained retinal ganglion cells using six different shape features (circularity, 2(nd) statistical moment and entropy of Gaussian blurred images, wavelet statistical moment, number of terminations and the fractal dimension). This allowed us to compare the sensitivity of the methods in uniquely describing morphological attributes of these cells.

Algorithms↗

PubMed2004

The apparent and effective dimensionality of representations of objects.

Information displays commonly use 2-D and 3-D objects even though the numbers represented are 1-D. This practice may be problematic because the psychophysical relation between perceived and physical magnitudes is generally nonlinear for areas and volumes. Nonetheless, this research shows that apparent 2-D and 3-D objects can produce linear psychophysical functions if only one dimension shows variation. Processing time increases with the number of dimensions in the objects that show variation, not with the apparent dimensionality. Indeed, when only one dimension showed variation, apparent 3-D objects were judged more quickly than were apparent 2-D or 1-D objects. These results present a challenge for computational models of size perception and have implications for the design of information displays. Actual or potential applications of this research include the design and use of statistical graphs and information displays; objects that display variation in more than one dimension should not be used to represent single (1-D) numerical variables if they are to be judged accurately and rapidly.

Adult↗

PubMed2003

Serotonin transporters are preserved in the neocortex of anxious Alzheimer's disease patients.

Densities of serotonin transporters (5-HTT) in the postmortem neocortex of behaviorally assessed Alzheimer's disease (AD) patients and aged controls were measured by radioligand binding with [3H]citalopram. It was found that 5-HTT sites in the temporal cortex of AD patients with prominent antemortem anxiety were unaltered compared with controls, but were reduced in non-anxious AD subjects. Furthermore, homozygosity for the high activity allele of a functional polymorphism in the 5-HTT gene promoter region (5-HTTLPR) was associated with both increased [3H]citalopram binding and occurrence of anxiety in the AD subjects. Since serotonin-synthesizing neurons are known to be lost in the AD cortex, this study suggests that the preservation of 5-HTT may exacerbate serotonergic deficits and underlie anxiety symptoms in AD.

Aged↗

PubMed2003

Selective descriptor pruning for QSAR/QSPR studies using artificial neural networks.

Selection of optimal descriptors in quantitative structure-activity-property relationship (QSAR/QSPR) studies has been a perennial problem. Artificial Neural Networks (ANNs) have been used widely in QSAR/QSPR studies but less widely in descriptor selection. The current study used ANNs to select an optimal set of descriptors using large numbers of input variables. The effects of clean, noisy, and random input descriptors with linear, nonlinear, and periodic data on synthetic and real data QSAR/QSPR sets were examined. The optimal set of descriptors could be determined using a signal-to-noise ratio method. The optimal values for the rho parameter, which relates sample size to network architecture, were found to vary with the type of data. ANNs were able to detect meaningful descriptors in the presence of large numbers of random false descriptors.

Journal Article↗

PubMed2002

Postmortem serotoninergic correlates of cognitive decline in Alzheimer's disease.

Serotonin1A receptor density and serotonin concentration were measured in the postmortem neocortex of 17 AD patients who had been prospectively assessed every four months with the Mini-Mental State Examination (MMSE) for a mean of 2.6 years till death. In the frontal cortex, serotonin levels correlated negatively with the annual rate of MMSE decline, while serotonin1A receptor density was positively correlated with the rate of MMSE decline. Our study suggests that reduced serotonin levels and increased serotonin1A receptor density are markers for accelerated cognitive decline in AD, and provides support for the use of serotonin1A antagonists in the treatment of AD.

8-Hydroxy-2-(di-n-propylamino)tetralin↗