Within-Person Test Score Distributions: How Typical Is "Normal"?

We evaluated within-person variability across a cognitive test battery by analyzing the shape of the distribution of each individual's scores within a battery of tests. We hypothesized that most healthy adults would produce test scores that are normally distributed around their own personal battery-wide, within-person (wp) mean. Using cross-sectional data from 327 neurologically healthy adults, we computed each person's mean, standard deviation, skew, and kurtosis for 30 neuropsychological measures. Raw scores were converted to T-scores using three degrees of calibration: (a) none, (b) age, and (c) age, sex, race, education, and estimated premorbid IQ. Regardless of calibration, no participant showed abnormal within-person skew (wpskew) and only 10 (3.1%) to 16 (4.9%) showed wpkurtosis greater than 2. If replicated in other samples and measures, these findings could illuminate how healthy individuals are endowed with different cognitive abilities and provide the foundation for a new method of inference in clinical neuropsychology.

Within-person distributions of neuropsychological test scores as a function of dementia severity.

OBJECTIVE: The distribution of a person's scores on a battery of neuropsychological tests reflects the nature and extent of intraindividual variability and may provide clinically useful information not captured by examining test scores in isolation. We sought to test the hypothesis that systematic alterations of within-person test-score distributions characterize worsening cognitive impairment. METHOD: We analyzed cross-sectional data from 2 datasets that included 395 clinical patients and 135 neurologically normal older adults (≥60 years old). We computed each person's mean, standard deviation, skewness, and kurtosis for a battery of 13 neuropsychological measures and compared these distributional properties across groups. RESULTS: Most healthy older adults produced normal (Gaussian) test-score distributions. Among patients, test-score distributions increasingly shifted away from normal with worsening cognitive impairment. Worsening dementia was accompanied by progressively lower mean scores and increasingly positive skew. Within-person standard deviations initially grew at mild levels of impairment, but then shrank with worsening dementia, resulting in positive kurtosis. CONCLUSIONS: Within-person distributional properties vary as a function of dementia severity. Despite the limitations associated with using a clinical rather than a research sample, the analyses reported here serve as a "proof of concept" and suggest that similar investigations with more rigorously characterized patient samples may be fruitful.

Screening by telephone in the Alzheimer's disease anti-inflammatory prevention trial.

Compared with in-person assessment methods, telephone screening for dementia and other cognitive syndromes may improve efficiency of large population studies or prevention trials. We used data from the Alzheimer's Disease Anti-Inflammatory Prevention Trial to compare performance of a four-test Telephone Assessment Battery (TAB) that included the Telephone Interview for Cognitive Status (TICS) to that of a traditional in-person Cognitive Assessment Battery. Among 1,548 elderly participants with valid telephone and in-person screening results obtained within 90 days of each other, 225 persons were referred for a full cognitive diagnostic evaluation that was completed within six months of screening. Drawing on results from this panel of 225 individuals, we used the Capture-Recapture method to estimate population numbers of cognitively impaired participants. The latter estimates enabled us to compare the performance characteristics of the two screening batteries at specified cut-offs for detection of dementia and milder forms of impairment. Although our results provide relatively imprecise estimates of the performance characteristics of the two batteries, a comparison of their relative performance suggests that, at selected cut-off points, the TAB produces results broadly comparable to in-person screening and may be slightly more sensitive in detecting mild impairment. TAB performance characteristics also appeared slightly better than those of the TICS alone. Given its benefits in time and cost when screening for cognitive disorders, telephone screening should be considered for large samples.

Anterior temporobasal sulcal morphology: development of a reliable rating protocol and normative data.

The three anterior temporobasal (aTB) sulci, which are the collateral, rhinal, and occipitotemporal sulci, contribute to the morphology of memory-related structures and are important landmarks for neuroimaging. Prevalence of inter-connections among these sulci may distinguish healthy adults and individuals with memory-related disorders (Kim et al. Neurology 70:2159-2165, 2008; Zhan et al. Hum Brain Mapp 30:874-882, 2009). However, methods for quantifying the existence and nature of such connections are vague and varied, and normative frequencies are inconsistent across studies. Therefore, the goals of the current study are twofold: (1) to develop a reliable method of identifying aTB sulci and their interconnections based on surface renderings generated from serial magnetic resonance images (MRIs). This protocol includes training materials and a rating log (see supplementary materials) that can be disseminated and applied by other researchers. (2) To determine the prevalence of interconnections among the three aTB sulci in a large sample of healthy adults (200 undergraduate students), which can be used as normative data for future comparison with clinical samples. Notably, the resulting protocol, called the Sulcal Classification Rating Protocol for anterior Temporobasal sulci, distinguishes "clear" from "ambiguous" connections. When only clear connections are included, our prevalence rates are consistent with post-mortem findings of Ono et al. (Atlas of the Cerebral Sulci. Thieme Medical Publishers, Inc., New York, 1990); when both clear and ambiguous connections are counted as a connection, our results largely replicate MRI-based findings (e.g., Kim et al. Neurology 70:2159-2165, 2008). We propose that systematic variations in rater classification of ambiguous connections could explain discrepancies in the literature.