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The basic components of a data- and methodbase system useful for both individual diagnosis and (group-study) research in neuropsychology are described. Such a system enables one to organize, access and evaluate large data-sets of behavioural, neuroradiological and neurological information. The most important component of the system, the data- and methodbase management system, is described in some detail. It operates on databases comprised of Aachen Aphasia Test examinations and standardized CT evaluations as well as on methodbases containing various sets of analysis routines for the psychometric evaluation of (individual) aphasia test results and the evaluation and (graphical) presentation of standardized (individual) CT lesions. Although exemplified for AAT scores the techniques and principles employed are applicable to data- and methodbase systems in general.
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PMID:The design and application of a data- and methodbase system for the Aachen Aphasia Test. 365 58

The lack of a standardized Thai Language aphasia test raises difficulties not only with the assessment and treatment planning for the clinical but also with the accurate diagnosis and the reliable incidence for research on aphasiology in Thailand. This study aimed to use the Thai version of German Aachen aphasia (THAI-AAT), which is systematically adapted according to well-defined linguistic criteria and psychometric requirement, to assess the language deficit of Thai aphasic patients. The subjects participating in this study were 125 aphasia patients, 60 non-aphasic brain damaged patients and 120 normal subjects. The result revealed that the THAI-AAT is linguistically parallel in test design and fulfills the same psychometric properties as the original. The THAI-AAT obtains the goals: to differential diagnosis of aphasia distinguishing it from non-aphasic disturbance and to identify the type of aphasic syndrome.
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PMID:The Thai version of Aachen aphasia test (THAI-AAT). 1093 85

A web-based software model was developed as an example for data mining in aphasiology. It is used for educating medical and engineering students. It is based upon a database of 254 aphasic patients which contains the diagnosis of the aphasia type, profiles of an aphasia test battery (Aachen Aphasia Test), and some further clinical information. In addition, the cerebral lesion profiles of 147 of these cases were standardized by transferring the coordinates of the lesions to a 3D reference brain based upon the ACPC coordinate system. Two artificial neural networks were used to perform a classification of the aphasia type. First, a coarse classification was achieved by using an assessment of spontaneous speech of the patient which produced correct results in 87% of the test cases. Data analysis tools were used to select four features of the 30 available test features to yield a more accurate diagnosis. This classifier produced correct results in 92% of the test cases. The neural network approach is similar to grouping performed in group studies, while the nearest-neighbor method shows a design more similar to case studies. It finds the neurolinguistic and the lesion data of patients whose AAT profiles are most similar to the user's input. This way lesion profiles can be compared to each other interindividually. The Aphasia Diagnoser is available on the Web address http://fuzzy.iau.dtu.dk/aphasia.nsf and thus should facilitate a discussion about the reliability and possibilities of data-mining techniques in aphasiology.
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PMID:An aphasia database on the internet: a model for computer-assisted analysis in aphasiology. 1111 93

With the present experiment we sought to investigate brain plasticity underlying language recovery in a group of seventeen patients with non-fluent aphasia mainly caused by stroke. Patients were screened along three domains of measures: analysis of linguistic components by the Aachener Aphasie Test, combined mapping of their lesion from CT/MRI scans, and functional measure of the reorganized linguistic processes by means of mapping of slow evoked potentials. The spatial dimension and temporal dynamics of word processing were measured in three tasks, Phonological, Semantic and Orthographic. Compared with the matched control group, patients showed relative inhibition (decreased negativity) of left central regions in perisylvian areas, which were damaged in most subjects. In addition, reorganization of linguistic functions occurred within the left hemisphere both at frontal and posterior sites corresponding to spared brain regions. Correlations between linguistic lateralization in the three tasks and AAT subtests point to functional reorganization of phonological processes over left frontal sites and dysfunctional reorganization of semantic processing over left posterior regions.
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PMID:Language plasticity in aphasics after recovery: evidence from slow evoked potentials. 1825 72

Purpose This study aimed to provide novel insights into the neural correlates of language improvement following intensive language-action therapy (ILAT; also known as constraint-induced aphasia therapy). Method Sixteen people with chronic aphasia underwent clinical aphasia assessment (Aachen Aphasia Test [AAT]), as well as functional magnetic resonance imaging (fMRI), both administered before (T1) and after ILAT (T2). The fMRI task included passive reading of single written words, with hashmark strings as visual baseline. Results Behavioral results indicated significant improvements of AAT scores across therapy, and fMRI results showed T2-T1 blood oxygenation-level-dependent (BOLD) signal change in the left precuneus to be modulated by the degree of AAT score increase. Subsequent region-of-interest analysis of this precuneus cluster confirmed a positive correlation of T2-T1 BOLD signal change and improvement on the clinical aphasia test. Similarly, the entire default mode network revealed a positive correlation between T2-T1 BOLD signal change and clinical language improvement. Conclusion These results are consistent with a more efficient recruitment of domain-general neural networks in language processing, including those involved in attentional control, following aphasia therapy with ILAT. Supplemental Material https://doi.org/10.23641/asha.12765755.
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PMID:Increased Recruitment of Domain-General Neural Networks in Language Processing Following Intensive Language-Action Therapy: fMRI Evidence From People With Chronic Aphasia. 3283 Sep 88