Biomedical subjects

Jens C Pruessner

Publications and source records attributed to Jens C Pruessner.

5 recordsLinked to original sources

PubMed2003

Two formulas for computation of the area under the curve represent measures of total hormone concentration versus time-dependent change.

Study protocols in endocrinological research and the neurosciences often employ repeated measurements over time to record changes in physiological or endocrinological variables. While it is desirable to acquire repeated measurements for finding individual and group differences with regard to response time and duration, the amount of data gathered often represents a problem for the statistical analysis. When trying to detect possible associations between repeated measures and other variables, the area under the curve (AUC) is routinely used to incorporate multiple time points. However, formulas for computation of the AUC are not standardized across laboratories, and existing differences are usually not presented when discussing results, thus causing possible variability, or incompatibility of findings between research groups. In this paper, two formulas for calculation of the area under the curve are presented, which are derived from the trapezoid formula. These formulas are termed 'Area under the curve with respect to increase' (AUCI) and 'Area under the curve with respect to ground' (AUCG). The different information that can be derived from repeated measurements with these two formulas is exemplified using artificial and real data from recent studies of the authors. It is shown that depending on which formula is used, different associations with other variables may emerge. Consequently, it is recommended to employ both formulas when analyzing data sets with repeated measures.

Area Under Curve↗

PubMed2002

Glucocorticoids and hippocampal atrophy after heart transplantation.

The glucocorticoid cascade hypothesis proposes that hippocampal atrophy may result from excessive steroid exposure. Although demonstrated in animal models and some human hypercortisolemic states, hippocampal damage as a possible consequence of posttransplant steroid immunosuppression has not been investigated in human heart transplant recipients. We report a case of a 37-year-old female heart transplant recipient who had the clinical, neuropsychiatric, and neuroimaging findings consistent with hippocampal atrophy after 5 years of steroid exposure.

Adult↗

PubMed2002

Volumetry of temporopolar, perirhinal, entorhinal and parahippocampal cortex from high-resolution MR images: considering the variability of the collateral sulcus.

Researchers in clinical and basic neuroscience frequently target structures of the human medial temporal lobe (MTL) for volumetric analysis with magnetic resonance imaging (MRI). In neurodegenerative diseases, a precise volumetric analysis of MTL structures can assist in differential diagnosis and can be used in guiding early treatment. Also, in functional neuroimaging, exact localization is crucial for the correct interpretation of focal MTL activations with respect to specific memory functions. In presently available protocols, precise and consistent volumetric analysis of MTL structures is compromised in numerous ways. Most importantly, in order to cover all structures of the MTL, the researcher is presently forced to combine independently developed segmentation protocols for different structures from different laboratories. This approach limits anatomical precision because these protocols are based on different anatomical guidelines and descriptions that cannot easily be integrated. The segmentation approach presented in this paper was designed to address this issue by presenting segmentation guidelines for all major structures of the parahippocampal gyrus (PHG). It was developed directly to complement a volumetric protocol for hippocampus and amygdala (Pruessner et al., 2000, Cereb Cortex 10:433-442), thus allowing volumetric assessment of all major MTL structures in an integrated and consistent manner. Furthermore, it takes into consideration the neuroanatomical appearance of the collateral sulcus by presenting a method to correct the volumes of the surrounding cortices for the variability of this sulcus. The protocol was validated using MR images of 40 healthy normal control subjects (20 men and 20 women, age range 18-42 years). Intra- and interrater coefficients are presented, together with mean values for the volumes of all PHG structures, correlations with age and sex, and tests for hemispheric differences.

Adult↗

PubMed2002

Regional frontal cortical volumes decrease differentially in aging: an MRI study to compare volumetric approaches and voxel-based morphometry.

Recent neuroimaging studies suggest that the frontal lobes are the part of the brain most profoundly affected by the aging process. The present study investigated whether subregions within the frontal cortex show different patterns of brain aging. Magnetic resonance images of 57 healthy participants between 21 and 81 years old were used to measure regional frontal gray matter volumes in three ways: a manual tracing method, a semiautomatic "Talairach boxes" volumetric method, and voxel-based morphometry. Seven regions within each hemisphere were manually traced: precentral gyrus, inferior frontal gyrus, dorsolateral frontal cortex, ventral medial region, lateral orbital region, anterior cingulate, and frontal pole. With the semiautomatic approach, four regions were measured: lateral, orbital, and medial frontal regions and frontal pole. Advancing age was strongly associated with decreases in the volume of the whole frontal cortex. Differential age effects on the volumes of frontal subregions were dependent on the method applied. According to the manual approach, age-related volume decreases were strongest in the lateral and orbital frontal gray matter. The semiautomatic and voxel-based analyses found that age effects were most prominent within the lateral frontal and cingulate regions. Overall, it was concluded that although semiautomated and voxel-based methods can provide a reasonable estimate of regional brain volume, they cannot serve as a substitute for manual volumetry.

Adult↗

PubMedDate not supplied

Self-reported depressive symptoms and stress levels in healthy young men: associations with the cortisol response to awakening.

OBJECTIVE: There is evidence that clinical depression and negative mood are associated with elevated basal cortisol levels. Recently, measuring the cortisol response during the first hour in the morning with strict reference to the time of awakening was established as a reliable marker of individual adrenocortical activity. In studies using this marker, a relationship with self-reported stress levels and psychosomatic symptoms has been found. The goal of the present study was to investigate the association of self-reported depressive symptomatology with early morning free cortisol levels and their relationship to measures of stress. METHODS: We assessed the severity of depressive symptoms using the Hamilton Depression Inventory and chronic and acute stress perception in 40 healthy young men. Once a week, for 4 consecutive weeks, subjects provided saliva samples collected at 0, 30, and 60 minutes after awakening. RESULTS: Higher levels of depressive symptomatology were associated with a greater cortisol response after awakening. This association seemed to be stronger when only subjects in the nonclinical range of depression were included. Furthermore, cortisol levels and depressive symptomatology were significantly positively correlated with measures of chronic and acute stress perception. CONCLUSIONS: The present study extends earlier findings of hypothalamus-pituitary-adrenal axis hyperactivity in clinical depression to healthy young men with mild levels of depressive symptomatology. Measuring the cortisol response to awakening is proposed as an economical alternative to traditional approaches for determining basal hypothalamus-pituitary-adrenal axis activity. Associations between depressive symptomatology and chronic stress, as well as implications for future studies, are discussed.

Acute Disease↗