Publications by authors named "H Tost"

Deepening our understanding of neuro-cancer interactions can innovate brain tumor treatment. This mini review unfolds the most relevant and recent insights into the neural mechanisms contributing to brain tumor initiation, progression, and resistance, including synaptic connections between neurons and cancer cells, paracrine neuro-cancer signaling, and cancer cells' intrinsic neural properties. We explain the basic and clinical-translational relevance of these findings, identify unresolved questions and particularly interesting future research avenues, such as central nervous system neuro-immunooncology, and discuss the potential transferability to extracranial cancers.

View Article and Find Full Text PDF

Although the effect of early childhood stress on central nervous pain processing is well known, studies on the association of prematurity and chronic pain are scarce. This study used data from a single-centre retrospective cohort study followed by a prospective clinical examination and pain assessment. The study was based on data from the local birth registry.

View Article and Find Full Text PDF
Article Synopsis
  • - The term "nociplastic pain" describes pain that arises from a sensitized nociceptive system, yet cannot be classified as nociceptive or neuropathic, leading researchers to evaluate a new grading system for distinguishing chronic pain types.
  • - The study involved 81 patients with conditions like fibromyalgia, complex regional pain syndrome, osteoarthritis, and peripheral nerve injury, using various methods to classify their pain as nociplastic; results showed that most chronic primary pain was widespread and not due to clear nociceptive or neuropathic mechanisms.
  • - Despite the grading system having good specificity (93%) when identifying pain types, its sensitivity was low (60%) and inadequate for screening, indicating a need for improvements,
View Article and Find Full Text PDF

Both mental health and mental illness unfold in complex and unpredictable ways. Novel artificial intelligence approaches from the area of dynamical systems reconstruction can characterize such dynamics and help understand the underlying brain mechanisms, which can also be used as potential biomarkers. However, applying deep learning to model dynamical systems at the individual level must overcome numerous computational challenges to be reproducible and clinically useful.

View Article and Find Full Text PDF

Substance use disorders (SUDs) are seen as a continuum ranging from goal-directed and hedonic drug use to loss of control over drug intake with aversive consequences for mental and physical health and social functioning. The main goals of our interdisciplinary German collaborative research centre on Losing and Regaining Control over Drug Intake (ReCoDe) are (i) to study triggers (drug cues, stressors, drug priming) and modifying factors (age, gender, physical activity, cognitive functions, childhood adversity, social factors, such as loneliness and social contact/interaction) that longitudinally modulate the trajectories of losing and regaining control over drug consumption under real-life conditions. (ii) To study underlying behavioural, cognitive and neurobiological mechanisms of disease trajectories and drug-related behaviours and (iii) to provide non-invasive mechanism-based interventions.

View Article and Find Full Text PDF