Imaging and CSF studies in the preclinical diagnosis of Alzheimer's disease.

It is widely believed that the path to early and effective treatment for Alzheimer's disease (AD) requires the development of early diagnostic markers that are both sensitive and specific. To this aim, using longitudinal study designs, we and others have examined magnetic resonance imaging (MRI), 2-fluoro-2-deoxy-d-glucose-positron emission tomography (FDG/PET), and cerebrospinal fluid (CSF) biomarkers in cognitively normal elderly (NL) subjects and in patients with mild cognitive impairment (MCI). Such investigations have led to the often replicated findings that structural evidence of hippocampal atrophy as determined by MRI, as well as metabolic evidence from FDG-PET scan of hippocampal damage, predicts the conversion from MCI to AD. In this article we present a growing body of evidence of even earlier diagnosis. Brain pathology can be detected in NL subjects and used to predict future transition to MCI. This prediction is enabled by examinations revealing reduced glucose metabolism in the hippocampal formation (hippocampus and entorhinal cortex [EC]) as well as by the rate of medial temporal lobe atrophy as determined by MRI. However, neither regional atrophy nor glucose metabolism reductions are specific for AD. These measures provide secondary not primary evidence for AD. Consequently, we will also summarize recent efforts to improve the diagnostic specificity by combining imaging with CSF biomarkers and most recently by evaluating amyloid imaging using PET. We conclude that the combined use of conventional imaging, that is MRI or FDG-PET, with selected CSF biomarkers incrementally contributes to the early and specific diagnosis of AD. Moreover, selected combinations of imaging and CSF biomarkers measures are of importance in monitoring the course of AD and thus relevant to evaluating clinical trials.

Prefrontal N-acetylaspartate and poststroke recovery: a longitudinal proton spectroscopy study.

BACKGROUND AND PURPOSE: Functional imaging studies suggest that poststroke recovery is related to the reorganization in both contralesional and ipsilesional prefrontal cortex. Little is known, however, about how longitudinal metabolic changes in prefrontal regions relate to the improvement after stroke. We sought to determine whether poststroke recovery is associated with changes in N-acetylaspartate/creatine (NAA/Cr) ratio within contralesional prefrontal regions. MATERIALS AND METHODS: Twenty-seven patients with a first ischemic stroke located outside the frontal lobes were included. Proton MR spectroscopy ((1)H-MRS) was performed on a 1.5T scanner. Point-resolved spectroscopy sequence (PRESS) was used. NAA/Cr was measured both in ipsilesional and contralesional prefrontal regions in early (14 +/- 6 days after stroke) and chronic phases of the disease (110 +/- 30 days after). Patients' neurologic status was assessed using Scandinavian Stroke Scale (SSS) at discharge from the stroke unit and during second (1)H-MRS examination. RESULTS: Subjects showing increased contralesional NAA/Cr from first to follow-up examination improved significantly more on the SSS than patients not showing this increase. Analysis was performed while correcting for change in NAA/Cr levels in the ipsilesional hemisphere. For the whole group, the change in contralesional NAA/Cr was significantly correlated to the change in SSS scores (r = 0.40, P = .03). Change in the ipsilesional NAA/Cr measures did not correlate with the change in SSS scores. CONCLUSION: Poststroke recovery was related to the increase in contralesional prefrontal NAA/Cr. This association may reflect recovery mechanisms involving the nonaffected hemisphere. Further assessment of these regions may provide information about mechanisms contributing to neurologic improvement.

DD genotype of ACE gene is a risk factor for intracerebral hemorrhage.

Genetic factors may play a role in susceptibility to stroke. The angiotensin converting enzyme (ACE) gene is a candidate gene for two phenotypically different types of stroke affecting small perforating arteries: spontaneous intracerebral hemorrhage (SIH) and ischemic stroke due to small vessel disease (SVD). The authors report evidence that ACE gene DD homozygosity of the I/D polymorphism in intron 16 is an independent risk factor for SIH, and not for SVD stroke, in a Polish population.

[The application of dysarthria profile tests in ALS patients for the detection of speech disturbances]. / Przydatnosc testów profilu dyzartrii do wykrywania zaburzen mowy u chorych ze stwardnieniem bocznym zanikowym.

Dysarthria is an invalidating disability in ALS patients with motor neuron degeneration in the bulbar region. The methods to assess dysarthric disorders in ALS are seldom described in publications. This study was performed in 43 patients who had definite (n = 23) or probable (n = 20) ALS (of the bulbar group n = 15, of the limb group n = 28, mean age = 57.07 (range: 36-69 yr.)) according to WFN criteria. The method based on quantitative tests of dysarthria profile (by Robertson, 1986) was used and the results were compared with 37 age, sex-matched, healthy control subjects. Our study showed the existence of disturbances in all dysarthria profile tests which were of the statistic significance and more frequent as compared to the control subjects (p < 0.01). The analysis showed that quantitative assessment of some dysarthria profile tests (5 out of 8) might be useful in clinical practice to detect dysarthria in ALS patients. Using the dysarthria profile tests we also demonstrated that preclinical dysarthric processes occur among the limb ALS group.

[Evaluation of dysarthria with the assistance of acoustic speech analysis in patients with amyotrophic lateral sclerosis]. / Ocena dyzartrii za pomoca analizy akustycznego sygnalu mowy u chorych z stwardnieniem bocznym zanikowym.

The aim of the study was to assess dysarthria in ALS subjects using acoustic speech analysis. The study was performed in 47 definite or probable ALS patients aged 29-76 years (mean age 53.7 yr.) and in 30 age and sex matched healthy control subjects. Neurological examination showed 15 dysarthric ALS subjects. Acoustic speech analysis is a quantitative, computer-acoustic method estimating dysarthria and based on assessing of sound distance from speech sound tests. In both group the mean sound distance between chosen sounds was compared to a basic pattern and was measured on time-frequency computer acoustic analyses (delta f = 125 Hz, delta T = 9 ms, delta s = 0.5 dB). Our results demonstrated that all sounds were incorrect in all ALS subjects. These abnormalities were significantly increased in the dysarthric ALS subjects. The mean sound distances which separated ALS from control subjects is 0.2 (by Euclidian principle) in 4 out of 5 measured sounds. We suggest that it is possible to detect and measure dysarthria in ALS patients based on the acoustic speech analysis, also in the limb onset ALS subjects.

ALS-Plus syndrome. A clinical and neuropathological case study.

ALS-Plus syndrome occurs rarely and usually presents typical ALS phenotype associated with dementia, Parkinsonism or both. We reported a case of sporadic, definite ALS with pseudobulbar palsy, emotional lability and selective cognitive deficit in the presence of frontal lobe dementia. Neuropsychological tests predominantly demonstrated perserveration and dynamic apraxia, CT and MRI scans showed widened subarachnoideal spaces in the frontal and temporal regions. The neuropathological findings confirmed ALS processes i.e. atrophy of motor nuclei in brainstem and anterior horns of cervical spinal cord and showed mild atrophy and status spongiosus in the frontal lobes. These findings suggest the co-occurrence of sporadic ALS and frontal lobe dementia: ALS-Plus syndrome.

Acoustic analysis of dysarthria profile in ALS patients.

Dysarthria is a leading disability in ALS patients with motor neurone degeneration in the bulbar region. Although different approaches have been tried in the past, currently, no test is available to detect and follow the progression of dysarthria. We studied 53 patients with definite (n=27) or probable (n=26) ALS (the bulbar onset group n=15, the limb onset group n=38, mean age 53. 66/29-76 years/) according to El Escorial criteria. Each patient was seen by a neurologist every 10-12 weeks and clinical performance was assessed using the Norris scale. To evaluate dysarthria we developed a computer-based acoustic method. All patients had computer-analysed speech sound tests done three times. The most significantly affected vowels were selected for further studies. A method based on the Euclidian principle was used and the results were compared with 30 age, sex-matched, healthy control subjects. Our results demonstrated the existence of a specific dysarthria profile in ALS patients with most significantly affected vowels: 'B', 'O', 'I', 'W', 'T' in the bulbar group, and: 'B', 'I', 'T', 'W', 'O' in the limb group. This study suggests that it is possible to detect and monitor the progression of the disease based on the acoustic analysis of only several sounds. Abnormalities detected in the dysarthria profile may appear prior to any clinical symptoms of the disease.