@article{HeinzelLorenzPelzetal.2016,
  author    = {Heinzel, Stephan and Lorenz, Robert C. and Pelz, Patricia and Heinz, Andreas and Walter, Henrik and Kathmann, Norbert and Rapp, Michael Armin and Stelzel, Christine},
  title     = {Neural correlates of training and transfer effects in working memory in older adults},
  series = {NeuroImage : a journal of brain function},
  volume    = {134},
  journal   = {NeuroImage : a journal of brain function},
  publisher = {Elsevier},
  address   = {San Diego},
  issn      = {1053-8119},
  doi       = {10.1016/j.neuroimage.2016.03.068},
  pages     = {236 -- 249},
  year      = {2016},
  abstract  = {As indicated by previous research, aging is associated with a decline in working memory (WM) functioning, related to alterations in fronto-parietal neural activations. At the same time, previous studies showed that WM training in older adults may improve the performance in the trained task (training effect), and more importantly, also in untrained WM tasks (transfer effects). However, neural correlates of these transfer effects that would improve understanding of its underlying mechanisms, have not been shown in older participants as yet. In this study, we investigated blood-oxygen-level-dependent (BOLD) signal changes during n-back performance and an untrained delayed recognition (Sternberg) task following 12 sessions (45 min each) of adaptive n-back training in older adults. The Sternberg task used in this study allowed to test for neural training effects independent of specific task affordances of the trained task and to separate maintenance from updating processes. Thirty-two healthy older participants (60-75 years) were assigned either to an n-back training or a no-contact control group. Before (t1) and after (t2) training/waiting period, both the n-back task and the Sternberg task were conducted while BOLD signal was measured using functional Magnetic Resonance Imaging (fMRI) in all participants. In addition, neuropsychological tests were performed outside the scanner. WM performance improved with training and behavioral transfer to tests measuring executive functions, processing speed, and fluid intelligence was found. In the training group, BOLD signal in the right lateral middle frontal gyrus/caudal superior frontal sulcus (Brodmann area, BA 6/8) decreased in both the trained n-back and the updating condition of the untrained Sternberg task at t2, compared to the control group. fMRI findings indicate a training-related increase in processing efficiency of WM networks, potentially related to the process of WM updating. Performance gains in untrained tasks suggest that transfer to other cognitive tasks remains possible in aging. (C) 2016 Elsevier Inc. All rights reserved.},
  language  = {en}
}
@misc{HeroldTheobaldGronwaldetal.2022,
  author    = {Herold, Fabian and Theobald, Paula and Gronwald, Thomas and Rapp, Michael Armin and M{\"u}ller, Notger Germar},
  title     = {Going digital - a commentary on the terminology used at the intersection of physical activity and digital health},
  series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Gesundheitswissenschaftliche Reihe},
  journal   = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Gesundheitswissenschaftliche Reihe},
  number    = {5},
  doi       = {10.25932/publishup-58130},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-581301},
  pages     = {7},
  year      = {2022},
  abstract  = {In recent years digital technologies have become a major means for providing health-related services and this trend was strongly reinforced by the current Coronavirus disease 2019 (COVID-19) pandemic. As it is well-known that regular physical activity has positive effects on individual physical and mental health and thus is an important prerequisite for healthy aging, digital technologies are also increasingly used to promote unstructured and structured forms of physical activity. However, in the course of this development, several terms (e.g., Digital Health, Electronic Health, Mobile Health, Telehealth, Telemedicine, and Telerehabilitation) have been introduced to refer to the application of digital technologies to provide health-related services such as physical interventions. Unfortunately, the above-mentioned terms are often used in several different ways, but also relatively interchangeably. Given that ambiguous terminology is a major source of difficulty in scientific communication which can impede the progress of theoretical and empirical research, this article aims to make the reader aware of the subtle differences between the relevant terms which are applied at the intersection of physical activity and Digital Health and to provide state-of-art definitions for them.},
  language  = {en}
}
@article{HeroldTheobaldGronwaldetal.2022,
  author    = {Herold, Fabian and Theobald, Paula and Gronwald, Thomas and Rapp, Michael Armin and M{\"u}ller, Notger Germar},
  title     = {Going digital - a commentary on the terminology used at the intersection of physical activity and digital health},
  series = {European review of aging and physical activity},
  volume    = {19},
  journal   = {European review of aging and physical activity},
  publisher = {Springer},
  address   = {Berlin ; Heidelberg},
  issn      = {1861-6909},
  doi       = {10.1186/s11556-022-00296-y},
  pages     = {7},
  year      = {2022},
  abstract  = {In recent years digital technologies have become a major means for providing health-related services and this trend was strongly reinforced by the current Coronavirus disease 2019 (COVID-19) pandemic. As it is well-known that regular physical activity has positive effects on individual physical and mental health and thus is an important prerequisite for healthy aging, digital technologies are also increasingly used to promote unstructured and structured forms of physical activity. However, in the course of this development, several terms (e.g., Digital Health, Electronic Health, Mobile Health, Telehealth, Telemedicine, and Telerehabilitation) have been introduced to refer to the application of digital technologies to provide health-related services such as physical interventions. Unfortunately, the above-mentioned terms are often used in several different ways, but also relatively interchangeably. Given that ambiguous terminology is a major source of difficulty in scientific communication which can impede the progress of theoretical and empirical research, this article aims to make the reader aware of the subtle differences between the relevant terms which are applied at the intersection of physical activity and Digital Health and to provide state-of-art definitions for them.},
  language  = {en}
}
@article{HeinzelLorenzQuynhLamDuongetal.2017,
  author    = {Heinzel, Stephan and Lorenz, Robert C. and Quynh-Lam Duong, and Rapp, Michael Armin and Deserno, Lorenz},
  title     = {Prefrontal-parietal effective connectivity during working memory in older adults},
  series = {Neurobiology of Aging},
  volume    = {57},
  journal   = {Neurobiology of Aging},
  publisher = {Elsevier},
  address   = {New York},
  issn      = {0197-4580},
  doi       = {10.1016/j.neurobiolaging.2017.05.005},
  pages     = {18 -- 27},
  year      = {2017},
  abstract  = {Theoretical models and preceding studies have described age-related alterations in neuronal activation of frontoparietal regions in a working memory (WM)load-dependent manner. However, to date, underlying neuronal mechanisms of these WM load-dependent activation changes in aging remain poorly understood. The aim of this study was to investigate these mechanisms in terms of effective connectivity by application of dynamic causal modeling with Bayesian Model Selection. Eighteen healthy younger (age: 20-32 years) and 32 older (60-75 years) participants performed an n-back task with 3 WM load levels during functional magnetic resonance imaging (fMRI). Behavioral and conventional fMRI results replicated age group by WM load interactions. Importantly, the analysis of effective connectivity derived from dynamic causal modeling, indicated an age-and performance-related reduction in WM load-dependent modulation of connectivity from dorsolateral prefrontal cortex to inferior parietal lobule. This finding provides evidence for the proposal that age-related WM decline manifests as deficient WM load-dependent modulation of neuronal top-down control and can integrate implications from theoretical models and previous studies of functional changes in the aging brain.},
  language  = {en}
}