Subclinical non-emotional ADHD symptoms are related to smaller caudal anterior cingulate cortex volume and higher impulsiveness
European Neuropsychopharmacology, 26, S312-S313, 2016
Abstract: Attention deficit hyperactivity disorder (ADHD)
symptoms are normally distributed in the general population .
In clinical practice ADHD-symptoms may be divided into nonemotional
symptoms (inattention/hyperactivity) and emotional
dysregulation symptoms. Some brain regions, such as caudal
anterior cingulate cortex (cACC) and dorsolateral prefrontal cortex
(dlPFC), are involved in cognitive control of non-emotional processes,
e.g. classical executive functions . Other regions, including
lateral orbitofrontal cortex (lObfc) and rostral anterior cingulate
cortex (rACC), are involved in emotional regulation [3,4]. We
hypothesized that subclinical symptoms related to non-emotional
dysregulation would correlate negatively with cACC and dlPFC
volume as well as non-emotional impulsivity control ability.
Moreover, we hypothesized that subclinical symptoms related to
emotional dysregulation would correlate negatively with lObfc and
rACC volume and positively with tendency to discount the value
of delayed rewards.
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Bongard's work focuses on understanding the general nature of cognition, regardless of whether it is found in humans, animals or robots. This unique approach focuses on the role that morphology and evolution plays in cognition. Addressing these questions has taken him into the fields of biology, psychology, engineering and computer science.
Danforth is an applied mathematician interested in modeling a variety of physical, biological, and social phenomenon. He has applied principles of chaos theory to improve weather forecasts as a member of the Mathematics and Climate Research Network, and developed a real-time remote sensor of global happiness using messages from Twitter: the Hedonometer. Danforth co-runs the Computational Story Lab with Peter Dodds, and helps run UVM's reading group on complexity.
Laurent studies the interaction of structure and dynamics. His research involves network theory, statistical physics and nonlinear dynamics along with their applications in epidemiology, ecology, biology, and sociology. Recent projects include comparing complex networks of different nature, the coevolution of human behavior and infectious diseases, understanding the role of forest shape in determining stability of tropical forests, as well as the impact of echo chambers in political discussions.
Hines' work broadly focuses on finding ways to make electric energy more reliable, more affordable, with less environmental impact. Particular topics of interest include understanding the mechanisms by which small problems in the power grid become large blackouts, identifying and mitigating the stresses caused by large amounts of electric vehicle charging, and quantifying the impact of high penetrations of wind/solar on electricity systems.
Bagrow's interests include: Complex Networks (community detection, social modeling and human dynamics, statistical phenomena, graph similarity and isomorphism), Statistical Physics (non-equilibrium methods, phase transitions, percolation, interacting particle systems, spin glasses), and Optimization(glassy techniques such as simulated/quantum annealing, (non-gradient) minimization of noisy objective functions).