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Lower P300 amplitude in eight-year-old offspring of alcoholic fathers with a delinquent history
(2006)
The aim of the present study was to investigate the P300 amplitude as a possible vulnerability marker in children of alcoholic (COA) fathers with and without paternal delinquency. Event-related potentials (ERPs) of 122 children aged 8 years (63 boys, 59 girls) were compared depending on father's alcoholism subtype: 30 COAs without paternal delinquency, 10 COAs with paternal delinquency, and 82 children of non-alcoholic and non-delinquent fathers. ERPs were recorded from Fz, Cz, and Pz, using an auditory oddball paradigm. Sinus tones of 60 dB HL were presented binaurally at 1,000 Hz (standard stimulus) and 2,000 Hz (target stimulus), at a relative frequency ratio of 80:20. Two trial blocks of 250 stimuli each were collected. Results indicated that only COAs with paternal delinquency displayed significant differences from the control group, characterized by reduced P300 amplitude at frontal site and in the second trial block. Thus, the combination of fathers' alcoholism and delinquency was more likely to relate to attenuated P300 amplitude in the offspring than paternal alcoholism alone. Our results suggest that both alcoholic and delinquent family history appear to play a role in P300 amplitude reduction in the offspring.
This longitudinal study investigated patterns of developmental problems across depression, aggression, and academic achievement during adolescence, using two measurement points two years apart (N = 1665; age T1: M = 13.14; female = 49.6%). Latent Profile Analyses and Latent Transition Analyses yielded four main findings: A three-type solution provided the best fit to the data: an asymptomatic type (i.e., low problem scores in all three domains), a depressed type (i.e., high scores in depression), an aggressive type (i.e., high scores in aggression). Profile types were invariant over the two data waves but differed between girls and boys, revealing gender specific patterns of comorbidity. Stabilities over time were high for the asymptomatic type and for types that represented problems in one domain, but moderate for comorbid types. Differences in demographic variables (i.e., age, socio-economic status) and individual characteristics (i.e., self-esteem, dysfunctional cognitions, cognitive capabilities) predicted profile type memberships and longitudinal transitions between types.
Fragestellung: Ziel war die Untersuchung des Verlaufs von Kindern mit Rechenstörungen bzw. Rechenschwächen. Neben der Persistenz wurden Auswirkungen von Rechenproblemen auf künftige Rechenleistungen sowie den Schulerfolg geprüft. Methodik: Für 2909 Schüler der 2. bis 5. Klasse liegen die Resultate standardisierter Rechen- und Intelligenztests vor. Ein Teil dieser Kinder ist nach 37 und 68 Mona-ten erneut untersucht worden. Ergebnisse: Die Prävalenz von Rechenstörungen betrug 1.4 %, Rechenschwächen traten bei 11.2 % auf. Rechen-probleme zeigten eine mittlere bis hohe Persistenz. Schüler mit Rechenschwäche blieben im Rechnen gut eine Standardabweichung hinter durchschnittlich und ca. eine halbe Standardabweichung hinter unterdurchschnittlich intelligenten Kontrollkindern zurück. Der allgemeine Schulerfolg rechenschwacher Probanden (definiert über Mathematiknote, Deutschnote und Schultyp) ähnelte dem der unterdurchschnittlich intelligenten Kontrollgruppe und blieb hinter dem Schulerfolg durchschnittlich intelligenter Kontrollkinder zurück. Eingangs ältere Probanden mit Rechenproblemen (4. bis 5. Klasse) wiesen eine schlechtere Prognose auf als Kinder, die zu Beginn die 2. oder 3. Klasse besuchten. Schluss-folgerungen: Rechenprobleme stellen ein ernsthaftes Entwicklungsrisiko dar. Längsschnittuntersuchungen, die Kinder mit streng definierter Rechenstörung bis ins Erwachsenenalter begleiten und Prädiktoren für unterschiedlich erfolgreiche Verläufe ermitteln, sind dringend notwendig.
EEG coherence analysis for examining an automatizational deficit in dyslexia - a pilot study Objectives: Do dyslexic children exhibit a general automatizational deficit as well as a phonological deficit? Methods: In 1,6 children aged 9-11 years the reaction time, the number of mistakes and EEG (19 scalp electrodes) were measured in three experiments (verbal and nonverbal). The EEG data was baseline-corrected and after a fast fourier transformation, analyzed with the coherence tool of the Brainvision(C) Software. Results: The dyslexic group made more mistakes than the control group on all tasks but their reaction times were significantly longer only on the verbal tasks. There were no coherence differences on the nonverbal task. On the language-dependent tasks the dyslexics showed higher total-frontal and lower left-frontal coherences only in the theta-frequency range, while in the alpha and beta frequency ranges coherences did not differ. Conclusions: A language-dependent cognitive automatizational deficit in the dyslexic group is assumed that is depicted by the higher synchronization of total-frontal coherences (involvement of the central executive) and is based on the less established functional coupling of cortical subsystems for language processing