Achievement in different domains, such as academics, music, or visual arts, plays a central role in all modern societies. Different psychological models aim to describe and explain achievement and its development in different domains. However, there remains a need for a framework that guides empirical research within and across different domains. With the talent-development-in-achievement-domains (TAD) framework, we provide a general talent-development framework applicable to a wide range of achievement domains. The overarching aim of this framework is to support empirical research by focusing on measurable psychological constructs and their meaning at different levels of talent development. Furthermore, the TAD framework can be used for constructing domain-specific talent-development models. With examples for the application of the TAD framework to the domains of mathematics, music, and visual arts, the review provided supports the suitability of the TAD framework for domain-specific model construction and indicates numerous research gaps and open questions that should be addressed in future research.
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http://dx.doi.org/10.1177/1745691619895030 | DOI Listing |
J Neurol
January 2025
Department of Neurology, LMU University Hospital, Ludwig-Maximilians-Universität (LMU) München, Munich, Germany.
Background And Objective: Non-motor symptoms frequently develop throughout the disease course of Parkinson's disease (PD), and pose affected individuals at risk of complications, more rapid disease progression and poorer quality of life. Addressing such symptom burden, the 2023 revised "Parkinson's disease" guideline of the German Society of Neurology aimed at providing evidence-based recommendations for managing PD non-motor symptoms, including autonomic failure, pain and sleep disturbances.
Methods: Key PICO (Patient, Intervention, Comparison, Outcome) questions were formulated by the steering committee and refined by the assigned authors.
J Neurol
December 2024
APHM, Hôpital de la Timone, CEMEREM, Marseille, France.
Objective: In this multicentric study, we were interested in the vision-related quality of life and its association with visual impairment in neuromyelitis optica spectrum disorders (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) in comparison to multiple sclerosis (MS) and healthy controls.
Methods: We analysed extracted data from the German NEMOS registry including National Eye Institute Visual Function Questionnaire (NEI-VFQ) scores, high and low contrast visual acuity (HCVA, LCVA), visually evoked potentials (VEP) and the scores for the expanded disability status scale (EDSS) and other neurological tests which assessed their disease-related impairment. The mean follow-up time of our patients was 1.
Hippocampus
January 2025
Department of Psychology, Bowling Green State University, Bowling Green, Ohio, USA.
The mandate for this special issue of Hippocampus was to provide a few examples of one's own work in a relatively personal context. Accordingly, I will discuss some of my own work here, but will also provide a broader arc of ideas and discoveries within which the efforts of myself and many others have taken place. This history begins with the associationists, who proposed that the human mind could be understood, in part, as a compounding of simple associations between contiguously occurring items and events.
View Article and Find Full Text PDFGenome Biol
December 2024
College of Informatics, Huazhong Agricultural University, Wuhan, China.
Topologically associating domains (TADs) are essential units of genome architecture, influencing transcriptional regulation and diseases. Despite numerous methods proposed for TAD identification, it remains challenging due to complex background and nested TAD structures. We introduce HTAD, a human-in-the-loop TAD caller that combines machine learning with human supervision to achieve high accuracy.
View Article and Find Full Text PDFCereb Cortex
November 2024
Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel.
The ability to accurately retrieve visual details of past events is a fundamental cognitive function relevant for daily life. While a visual stimulus contains an abundance of information, only some of it is later encoded into long-term memory representations. However, an ongoing challenge has been to isolate memory representations that integrate various visual features and uncover their dynamics over time.
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