The Neurobehavioral Evaluation System was designed for field studies of workers, but many NES tests can be performed satisfactorily by children as young as 7 or 8 years old and a few tests, such as simple reaction time, can be performed by preschool children. However, little comparative data from children of different ages or grade levels are available. Studies of school children in the Czech Republic indicate that 2nd-grade children could perform the following NES tests satisfactorily: Finger Tapping, Visual Digit Span. Continuous Performance, Symbol-Digit Substitution, Pattern Comparison, and simpler conditions of Switching Attention. Comparative scores of boys and girls from the 2nd, 4th, and 8th grades and power analyses to estimate appropriate sample size were presented. Performance varied systematically with grade level and gender. Larger samples were needed with younger children to achieve comparable levels of statistical power. Gender comparisons indicated that boys responded faster, but made more errors than girls.

• MeSH
• diagnóza počítačová přístrojové vybavení   normy   MeSH
• dítě MeSH
• kognice fyziologie   MeSH
• krátkodobá paměť fyziologie   MeSH
• lidé MeSH
• mladiství MeSH
• neuropsychologické testy normy   MeSH
• pohlavní dimorfismus MeSH
• prsty ruky fyziologie   MeSH
• psychomotorický výkon fyziologie   MeSH
• stárnutí psychologie   MeSH
• verbální učení fyziologie   MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• klinické zkoušky MeSH
• práce podpořená grantem MeSH
• Research Support, U.S. Gov't, Non-P.H.S. MeSH
• srovnávací studie MeSH
• Geografické názvy
• Česká republika MeSH

Patients with schizophrenia frequently exhibit motor deficits. However, to date, there are no studies comparing motor performance in first episode patients with schizophrenia and schizophrenia spectrum disorders (SSD; e.g. schizoaffective and brief psychosis). Participants comprised 57 first episode patients with schizophrenia, 32 first episode patients with SSD, and 51 healthy controls who underwent neuropsychological testing based on Luria׳s systematic approach, including the following tests on complex motor sequencing: the Fist-Edge-Palm (FEP) test and the bimanual probe (BP). Schizophrenia patients performed worse than SSD patients in FEP and BP, and both patient groups showed decreased scores compared to healthy controls. Furthermore, we found that a higher proportion of schizophrenia cases failed to correct their motor performance and needed external error correction, while SSD cases exhibited a higher proportion of self-correction in FEP and in BP. Lack of insight and poor executive functioning correlated with motor performance in schizophrenia, while impulse control and difficulties in abstract thinking were related to motor performance in schizophrenia spectrum disorder. Thus, psychomotor impairments appear already in first episode patients with schizophrenia and differ from impairments in SSD. Especially the inability to self-correct errors may be characteristic of schizophrenia, suggesting that impairments in error monitoring are related to psychomotor dysfunction in schizophrenia.

• Klíčová slova
• Bimanual probe, Error monitoring, First psychotic episode, Fist-Edge-Palm test, Luria, Schizophrenia, Schizophrenia spectrum disorders,
• MeSH
• databáze faktografické MeSH
• dospělí MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• neuropsychologické testy MeSH
• psychomotorický výkon fyziologie   MeSH
• psychotické poruchy patofyziologie   psychologie   MeSH
• schizofrenie (psychologie) MeSH
• schizofrenie patofyziologie   MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

The Iowa Gambling Task (IGT) is one of the most popular experimental paradigms for comparing complex decision-making across groups. Most commonly, IGT behavior is analyzed using frequentist tests to compare performance across groups, and to compare inferred parameters of cognitive models developed for the IGT. Here, we present a Bayesian alternative based on Bayesian repeated-measures ANOVA for comparing performance, and a suite of three complementary model-based methods for assessing the cognitive processes underlying IGT performance. The three model-based methods involve Bayesian hierarchical parameter estimation, Bayes factor model comparison, and Bayesian latent-mixture modeling. We illustrate these Bayesian methods by applying them to test the extent to which differences in intuitive versus deliberate decision style are associated with differences in IGT performance. The results show that intuitive and deliberate decision-makers behave similarly on the IGT, and the modeling analyses consistently suggest that both groups of decision-makers rely on similar cognitive processes. Our results challenge the notion that individual differences in intuitive and deliberate decision styles have a broad impact on decision-making. They also highlight the advantages of Bayesian methods, especially their ability to quantify evidence in favor of the null hypothesis, and that they allow model-based analyses to incorporate hierarchical and latent-mixture structures.

• Klíčová slova
• Bayes factors, Cognitive modeling, Latent-mixture modeling, Product space method, Reinforcement learning models,
• MeSH
• Bayesova věta * MeSH
• exekutivní funkce fyziologie   MeSH
• interpretace statistických dat * MeSH
• lidé MeSH
• neuropsychologické testy * MeSH
• posilování (psychologie) * MeSH
• psychologické modely * MeSH
• rozhodování fyziologie   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH
• Research Support, U.S. Gov't, Non-P.H.S. MeSH

Attention-deficit/hyperactivity disorder predominantly inattentive (ADHD-PI) and combined (ADHD-C) presentations are likely distinct disorders that differ neuroanatomically, neurochemically, and neuropsychologically. However, to date, little is known about specific white matter (WM) regions differentiating ADHD presentations. This study examined differences in WM microstructure using diffusion tensor imaging (DTI) data from 20 ADHD-PI, 18 ADHD-C, and 27 typically developed children. Voxel-wise analysis of DTI measurements in major fiber bundles was carried out using tract-based spatial statistics (TBSS). Clusters showing diffusivity abnormalities were used as regions of interest for regression analysis between fractional anisotropy (FA) and neuropsychological outcomes. Compared to neurotypicals, ADHD-PI children showed higher FA in the anterior thalamic radiations (ATR), bilateral inferior longitudinal fasciculus (ILF), and in the left corticospinal tract (CST). In contrast, the ADHD-C group exhibited higher FA in the bilateral cingulum bundle (CB). In the ADHD-PI group, differences in FA in the left ILF and ATR were accompanied by axial diffusivity (AD) abnormalities. In addition, the ADHD-PI group exhibited atypical mean diffusivity in the forceps minor (FMi) and left ATR and AD differences in right CB compared to healthy subjects. Direct comparison between ADHD presentations demonstrated radial diffusivity differences in FMi. WM clusters with FA irregularities in ADHD were associated with neurobehavioral performance across groups. In conclusion, differences in WM microstructure in ADHD presentations strengthen the theory that ADHD-PI and ADHD-C are two distinct disorders. Regions with WM irregularity seen in both ADHD presentations might serve as predictors of executive and behavioral functioning across groups. Hum Brain Mapp 37:3323-3336, 2016. © 2016 Wiley Periodicals, Inc.

• Klíčová slova
• ADHD combined, ADHD preferentially inattentive, executive and behavioral performance, fractional anisotropy, white matter microstructure,
• MeSH
• bílá hmota patologie   MeSH
• dítě MeSH
• hyperkinetická porucha patologie   MeSH
• interpretace obrazu počítačem MeSH
• lidé MeSH
• mapování mozku MeSH
• mozek patologie   MeSH
• nervové dráhy patologie   MeSH
• neuropsychologické testy MeSH
• zobrazování difuzních tenzorů MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH

Clinical procedure for mild cognitive impairment (MCI) is mainly based on clinical records and short cognitive tests. However, low suspicion and difficulties in understanding test cut-offs make diagnostic accuracy being low, particularly in primary care. Artificial neural networks (ANNs) are suitable to design computed aided diagnostic systems because of their features of generating relationships between variables and their learning capability. The main aim pursued in that work is to explore the ability of a hybrid ANN-based system in order to provide a tool to assist in the clinical decision-making that facilitates a reliable MCI estimate. The model is designed to work with variables usually available in primary care, including Minimental Status Examination (MMSE), Functional Assessment Questionnaire (FAQ), Geriatric Depression Scale (GDS), age, and years of education. It will be useful in any clinical setting. Other important goal of our study is to compare the diagnostic rendering of ANN-based system and clinical physicians. A sample of 128 MCI subjects and 203 controls was selected from the Alzheimer's Disease Neuroimaging Initiative (ADNI). The ANN-based system found the optimal variable combination, being AUC, sensitivity, specificity, and clinical utility index (CUI) calculated. The ANN results were compared with those from medical experts which include two family physicians, a neurologist, and a geriatrician. The optimal ANN model reached an AUC of 95.2%, with a sensitivity of 90.0% and a specificity of 84.78% and was based on MMSE, FAQ, and age inputs. As a whole, physician performance achieved a sensitivity of 46.66% and a specificity of 91.3%. CUIs were also better for the ANN model. The proposed ANN system reaches excellent diagnostic accuracy although it is based only on common clinical tests. These results suggest that the system is especially suitable for primary care implementation, aiding physicians work with cognitive impairment suspicions.

• MeSH
• databáze faktografické statistika a číselné údaje   MeSH
• diagnóza počítačová metody   statistika a číselné údaje   MeSH
• kognitivní dysfunkce diagnóza   psychologie   MeSH
• lidé MeSH
• neuronové sítě * MeSH
• neuropsychologické testy * statistika a číselné údaje   MeSH
• plocha pod křivkou MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• senzitivita a specificita MeSH
• studie případů a kontrol MeSH
• systémy pro podporu klinického rozhodování * statistika a číselné údaje   MeSH
• výpočetní biologie MeSH
• Check Tag
• lidé MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• Publikační typ
• časopisecké články MeSH

BACKGROUND: Spatial navigation performance in the Hidden Goal Task (HGT), a real-space human analogue of the Morris Water Maze, can identify amnestic mild cognitive impairment (aMCI) patients with memory impairment of the hippocampal type, a known indicator of incipient Alzheimer's disease (AD). OBJECTIVE: Contrast results from computer versus real-space versions of the HGT. METHODS: A total of 42 aMCI patients were clinically and neuropsychologically classified into: (1) memory impairment of the hippocampal type--the hippocampal aMCI (HaMCI; n = 10) and (2) isolated retrieval impairment--the nonhippocampal aMCI (NHaMCI; n = 32). Results were compared to the control (n = 28) and AD (n = 21) groups. RESULTS: The HaMCI group, although similar to the NHaMCI group with respect to overall cognitive impairment, performed poorer on the computer version of the HGT and yielded parallel results to the real-space version. The two versions were strongly correlated. CONCLUSIONS: Both versions of the HGT can reliably identify aMCI with pronounced memory impairment of the hippocampal type. The computer version of the HGT may be a useful, relatively inexpensive screening tool for early detection of individuals at a high risk of AD.

• MeSH
• Alzheimerova nemoc komplikace   diagnóza   MeSH
• bludiště - učení fyziologie   MeSH
• diagnóza počítačová metody   MeSH
• kognitivní poruchy komplikace   diagnóza   MeSH
• lidé MeSH
• neuropsychologické testy MeSH
• progrese nemoci MeSH
• psychiatrické posuzovací škály MeSH
• regresní analýza MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• vnímání prostoru fyziologie   MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

OBJECTIVE: Tower of London (ToL) is a planning ability task that includes multiple versions. The original ToL was developed by Shallice together with two scoring systems (ToL-SS). Another two ToL-SS were proposed by Anderson et al. and Krikorian et al. The purpose of this study is to provide normative data for four ToL-SS and explore the effects of demographic variables on ToL performance. Furthermore, we aimed to determine the discriminative validity of these ToL-SS in clinical samples. METHOD: Four groups were included in the study: a normative sample of healthy adults (HC; n = 298); patients with Parkinson's disease with mild cognitive impairment (PD-MCI; n = 52) and without cognitive impairment (PD-ND; n = 57); and patients with schizophrenia (SCH; n = 28). The effects of demographic variables on ToL-SS were examined in the HC group. Between-groups comparisons of ToL-SS were conducted using regression analysis with dummy codes. RESULTS: All four ToL-SS were not significantly affected by age, whereas the effect of gender and education is not consistent. ToL-SS significantly (p < .05) differentiate HC from PD-MCI and SCH. Cohen's effect size coefficients d range from 0.68 to 1.29. Internal consistency coefficients (Cronbach's α) of ToL-SS range from 0.33 to 0.60. CONCLUSIONS: Despite poor to questionable internal consistency of ToL-SS, the discriminative validity and clinical utility for assessing planning deficits in PD-MCI and SCH are high. This study provides normative standards for all four ToL-SS on an adult population for use in clinical practice.

• Klíčová slova
• Parkinson's disease mild cognitive impairment, Planning, Schizophrenia, Scoring, Tower of London,
• MeSH
• dospělí MeSH
• interpretace statistických dat * MeSH
• kognitivní dysfunkce diagnóza   etiologie   MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladý dospělý MeSH
• neuropsychologické testy normy   statistika a číselné údaje   MeSH
• Parkinsonova nemoc komplikace   MeSH
• referenční hodnoty MeSH
• reprodukovatelnost výsledků MeSH
• schizofrenie komplikace   MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladý dospělý MeSH
• mužské pohlaví MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• srovnávací studie MeSH

At present, more and more researchers are applying tested mathematical-engineering methods into different domains of life. One of these areas is helping people with different forms of disabilities. Research in this area is focused on searching for the relation between clinical and electrophysiological symptoms of children with developmental dysphasia. Sleep EEG and speech analyses are the primary areas under discussion, while the finding of methods acceptable for improvement of the diagnosis and determination of therapeutic procedures is the research topic. It is possible to reduce fundamentally, or to cure optimally these disorders in advanced diagnosis. Therefore it is important to search for new methods and to combine what has been used separately till now.

• MeSH
• algoritmy MeSH
• databáze jako téma MeSH
• diagnóza počítačová přístrojové vybavení   metody   MeSH
• dítě MeSH
• elektroencefalografie MeSH
• epilepsie komplikace   diagnóza   MeSH
• lidé MeSH
• neuronové sítě * MeSH
• neuropsychologické testy MeSH
• počítačová simulace MeSH
• polysomnografie MeSH
• předškolní dítě MeSH
• referenční hodnoty MeSH
• shluková analýza MeSH
• studie případů a kontrol MeSH
• testy artikulace přístrojové vybavení   metody   MeSH
• výpočetní biologie MeSH
• vývojové poruchy řeči komplikace   diagnóza   patofyziologie   MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• předškolní dítě MeSH
• Publikační typ
• časopisecké články MeSH
• hodnotící studie MeSH
• práce podpořená grantem MeSH

Presented herein are the results of follow-up examinations of 13 workers performed in 1996--30 yr following 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) intoxication in a herbicide production plant. In these workers, the current mean plasma level of 2,3,7,8-TCDD, measured by high-resolution gas chromatography/high-resolution mass spectrometry, was 256 pg/gm lipid (range = 14-760 pg/gm lipid). This mean value corresponded to an estimated concentration of approximately 5,000 pg/gm plasma fat that existed about 30 years ago. Such a mean plasma level indicates that this group was one of the most heavily exposed groups to 2,3,7,8-TCDD described in the literature. Patients with persistent chloracne had significantly higher plasma levels of 2,3,7,8-TCDD than persons without chloracne. A significant, positive correlation was found between plasma levels of 2,3,7,8-TCDD in 1996 and levels of cholesterol and plasma lipids that existed since 1974. During 1996, there was a significant positive correlation between 2,3,7,8-TCDD and levels of beta-lipoproteins, cholesterol, and triglycerides. Also in 1996, significant correlations were found between neuropsychological variables and plasma levels of 2,3,7,8-TCDD. Other significant correlations were observed between neuropsychological variables and (1) the highest levels of triglycerides (i.e., since the year 1989), (2) levels of triglycerides in 1996, (3) levels of cholesterol at the first examination (i.e., 1969-1970), (4) highest level of cholesterol since the year 1969, and (5) cholesterol levels in 1996. Such correlations are biologically plausible, and they provide evidence of impaired cognitive performance (i.e., memory first), with a concurrent increase of plasma lipid levels. Abnormal electromyography, electroencephalography, and visual evoked potentials were observed in 23%, 54%, and 31 %, respectively, of former workers. Abnormal electroencephalography findings occurred more frequently in workers who had 2,3,7,8-TCDD blood levels that exceeded 200 pg/gm plasma fat than in workers with 2,3,7,8-TCDD values lower than 200 pg/gm plasma fat (p < .025). Frequency of polyneuropathic EMG abnormalities decreased from 38% in the 1970s to 23% in 1996. Improvement of conduction velocity in the tibial nerve was statistically significant (p < .05).

• MeSH
• časové faktory MeSH
• chemický průmysl * MeSH
• chromatografie plynová MeSH
• duševní poruchy chemicky indukované   diagnóza   MeSH
• elektroencefalografie MeSH
• elektromyografie MeSH
• hmotnostní spektrometrie MeSH
• interpretace statistických dat MeSH
• jaterní testy MeSH
• lidé středního věku MeSH
• lidé MeSH
• lipidy krev   MeSH
• metabolismus lipidů MeSH
• následné studie MeSH
• nemoci nervového systému chemicky indukované   diagnóza   MeSH
• nemoci z povolání krev   chemicky indukované   diagnóza   metabolismus   MeSH
• neurologické vyšetření MeSH
• neuropsychologické testy MeSH
• polychlorované dibenzodioxiny krev   otrava   MeSH
• zaměstnání MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• srovnávací studie MeSH
• Geografické názvy
• Československo MeSH
• Názvy látek
• lipidy MeSH
• polychlorované dibenzodioxiny MeSH

OBJECTIVE: Nowadays proper detection of cognitive impairment has become a challenge for the scientific community. Alzheimer's Disease (AD), the most common cause of dementia, has a high prevalence that is increasing at a fast pace towards epidemic level. In the not-so-distant future this fact could have a dramatic social and economic impact. In this scenario, an early and accurate diagnosis of AD could help to decrease its effects on patients, relatives and society. Over the last decades there have been useful advances not only in classic assessment techniques, but also in novel non-invasive screening methodologies. METHODS: Among these methods, automatic analysis of speech -one of the first damaged skills in AD patients- is a natural and useful low cost tool for diagnosis. RESULTS: In this paper a non-linear multi-task approach based on automatic speech analysis is presented. Three tasks with different language complexity levels are analyzed, and promising results that encourage a deeper assessment are obtained. Automatic classification was carried out by using classic Multilayer Perceptron (MLP) and Deep Learning by means of Convolutional Neural Networks (CNN) (biologically- inspired variants of MLPs) over the tasks with classic linear features, perceptual features, Castiglioni fractal dimension and Multiscale Permutation Entropy. CONCLUSION: Finally, the most relevant features are selected by means of the non-parametric Mann- Whitney U-test.

• Klíčová slova
• Alzheimer's disease, deep learning, emotion analysis, innovative tools, multi-tasks, speech processing, spontaneous speech,
• MeSH
• Alzheimerova nemoc diagnóza   MeSH
• časná diagnóza MeSH
• deep learning MeSH
• diagnóza počítačová * metody   MeSH
• dospělí MeSH
• kognitivní dysfunkce diagnóza   MeSH
• kohortové studie MeSH
• lidé středního věku MeSH
• lidé MeSH
• měření tvorby řeči MeSH
• nelineární dynamika MeSH
• neuropsychologické testy MeSH
• řeč * MeSH
• rozpoznávání automatizované * metody   MeSH
• senioři MeSH
• software pro rozpoznávání řeči MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH