Object-based neglect in number processing.

Recent evidence suggests that neglect patients seem to have particular problems representing relatively smaller numbers corresponding to the left part of the mental number line. However, while this indicates space-based neglect for representational number space little is known about whether and --if so --how object-based neglect influences number processing.To evaluate influences of object-based neglect in numerical cognition, a group of neglect patients and two control groups had to compare two-digit numbers to an internally represented standard. Conceptualizing two-digit numbers as objects of which the left part (i.e., the tens digit should be specifically neglected) we were able to evaluate object-based neglect for number magnitude processing.Object-based neglect was indicated by a larger unit-decade compatibility effect actually reflecting impaired processing of the leftward tens digits. Additionally, faster processing of within- as compared to between-decade items provided further evidence suggesting particular difficulties in integrating tens and units into the place-value structure of the Arabic number system.In summary, the present study indicates that, in addition to the spatial representation of number magnitude, also the processing of place-value information of multi-digit numbers seems specifically impaired in neglect patients.

Impairments of the mental number line for two-digit numbers in neglect.

Humans represent numbers along a left-to-right oriented Mental Number Line (MNL). Neglect patients seem to neglect the left part of the MNL, namely the smaller numbers within a given numerical interval. However, until now all studies examining numerical representation have focussed on single-digit numbers or two-digit numbers smaller than 50. In this study, the full range of two-digit numbers was assessed in neglect patients and two control groups. Participants were presented with number triplets (e.g., 10_13_18) and asked whether or not the central number is also the arithmetical middle of the interval. The factors manipulated were decade crossing (e.g., 22_25_28 vs 25_28_31), distance to the arithmetical middle (e.g., 18_19_32 vs 18_24_32), and, most importantly, whether the central number was smaller or larger than the arithmetical middle (e.g., 11_12_19 vs 11_18_19). Neglect patients differed from controls in that they benefited less when the middle number was smaller than the arithmetical middle of the interval. Neglect patients thus seem to have particular problems when accessing the left side of numerical intervals, also when adjusted to two-digit numbers. Such an impaired magnitude representation in neglect seems to have detrimental effects on two-digit number processing as the helpful spatial metric of magnitude cannot be properly activated.

Combining SPECT and Quantitative EEG Analysis for the Automated Differential Diagnosis of Disorders with Amnestic Symptoms.

Single photon emission computed tomography (SPECT) and Electroencephalography (EEG) have become established tools in routine diagnostics of dementia. We aimed to increase the diagnostic power by combining quantitative markers from SPECT and EEG for differential diagnosis of disorders with amnestic symptoms. We hypothesize that the combination of SPECT with measures of interaction (connectivity) in the EEG yields higher diagnostic accuracy than the single modalities. We examined 39 patients with Alzheimer's dementia (AD), 69 patients with depressive cognitive impairment (DCI), 71 patients with amnestic mild cognitive impairment (aMCI), and 41 patients with amnestic subjective cognitive complaints (aSCC). We calculated 14 measures of interaction from a standard clinical EEG-recording and derived graph-theoretic network measures. From regional brain perfusion measured by 99mTc-hexamethyl-propylene-aminoxime (HMPAO)-SPECT in 46 regions, we calculated relative cerebral perfusion in these patients. Patient groups were classified pairwise with a linear support vector machine. Classification was conducted separately for each biomarker, and then again for each EEG- biomarker combined with SPECT. Combination of SPECT with EEG-biomarkers outperformed single use of SPECT or EEG when classifying aSCC vs. AD (90%), aMCI vs. AD (70%), and AD vs. DCI (100%), while a selection of EEG measures performed best when classifying aSCC vs. aMCI (82%) and aMCI vs. DCI (90%). Only the contrast between aSCC and DCI did not result in above-chance classification accuracy (60%). In general, accuracies were higher when measures of interaction (i.e., connectivity measures) were applied directly than when graph-theoretical measures were derived. We suggest that quantitative analysis of EEG and machine-learning techniques can support differentiating AD, aMCI, aSCC, and DCC, especially when being combined with imaging methods such as SPECT. Quantitative analysis of EEG connectivity could become an integral part for early differential diagnosis of cognitive impairment.

Magnetic resonance spectroscopy of memory and frontal brain region in early multiple sclerosis.

In vivo proton magnetic resonance spectroscopy (1H-MRS) has been used to assess biochemical changes that occur in demyelinating lesions and in normal appearing white matter (NAWM) in multiple sclerosis (MS) patients. N-acetylaspartate (NAA) levels in MS patients may indicate neural viability. In early stages of MS, patients may suffer from slight cognitive impairment. The objective of this study was to investigate memory function in relation to biochemical properties of frontal brain areas of MS patients. Twenty-one patients with relapsing-remitting MS and 21 healthy comparison subjects were examined psychometrically using the Wechsler Memory Scale (WMS) and the Multiple Sclerosis Functional Composite (MSFC) scale, and (1H-MRS) was used to examine frontal deep white matter (left hemisphere) and the frontal cingulate gyrus (Brodmann areas 24/32, bihemispheric). A significant reduction of the NAA/Creatine (Cr) ratio in the frontal cingulate gyrus among the MS patient group was detected when compared to healthy subjects. A significant decrease in the NAA/Cr ratio was also found in volumes of cerebral deep white matter, including plaques, in the MS patients. No NAA/Cr ratio changes were found in NAWM. Differences in MSFC results did not reach statistical significance, but the WMS general memory score showed a significant statistical difference between the patient group and healthy subjects. Regression analysis showed the gray matter NAA/Cr ratio of the frontal cingulate gyrus to be significantly related to distinct memory functions. The authors conclude that (1H-MRS) of gray matter in early stages of MS may be pertinent in the detections of early metabolic disturbances, particularly in subjects with or without minor neurological impairment. Findings suggest a general relationship between the metabolic status of the frontal cortices and memory function.