The depicted Bayesian network represents interdependencies between variables learned from prospective TREND data. Domains of marker nodes are indicated by circle color. The node of the “Conversion to PD” is indicated by a red circle outline. Numbers on edges indicate the level of statistical confidence (bootstrap probability), and dashed edge lines indicate confidences <0.5 while solid lines indicate a confidence ≥0.5. A higher value indicates a higher confidence in the existence of a connection. Nodes isolated from the rest of the network are not shown. V indicates the respective visit number.</p
<p>Links between the disease node and protein complexes represent associations between genes involve...
Parkinson's disease is the second most common neurological disease and affects about 1% of persons o...
Graph depicting the Bayesian network of 33 factors for the complete study sample (N = 23,865).</p
Parkinson’s disease (PD) is characterized by a long prodromal phase with a multitude of markers indi...
Parkinson’s disease (PD) is characterized by a long prodromal phase with a multitude of markers indi...
<p>A) mean clustering coefficient B) characteristic path length C) clustering coefficient normalized...
The network shows the dependencies between disorder symptoms (circular nodes) and the intervention (...
Abstract. With different approaches to finding prognostic or diagnostic biomarkers for Alzheimer’s d...
Research into possible risk factors for chronic conditions is a common theme in medical fields. Howe...
Magnetic resonance imaging (MRI) along with complex network is currently one of the most widely adop...
<p>Only significant links are presented, and grey lines indicating links with no sign was detected. ...
The gray filled circle means the observed data, the green border dots to represent a fixed parameter...
Parkinson's disease (PD) is the most common neurological disorder, after Alzheimer's disease, and is...
Parkinson’s disease (PD) has significant heterogeneity in its presentation. To explain this heteroge...
Neuroimaging and modern computational techniques like spatial covariance analysis have contributed g...
<p>Links between the disease node and protein complexes represent associations between genes involve...
Parkinson's disease is the second most common neurological disease and affects about 1% of persons o...
Graph depicting the Bayesian network of 33 factors for the complete study sample (N = 23,865).</p
Parkinson’s disease (PD) is characterized by a long prodromal phase with a multitude of markers indi...
Parkinson’s disease (PD) is characterized by a long prodromal phase with a multitude of markers indi...
<p>A) mean clustering coefficient B) characteristic path length C) clustering coefficient normalized...
The network shows the dependencies between disorder symptoms (circular nodes) and the intervention (...
Abstract. With different approaches to finding prognostic or diagnostic biomarkers for Alzheimer’s d...
Research into possible risk factors for chronic conditions is a common theme in medical fields. Howe...
Magnetic resonance imaging (MRI) along with complex network is currently one of the most widely adop...
<p>Only significant links are presented, and grey lines indicating links with no sign was detected. ...
The gray filled circle means the observed data, the green border dots to represent a fixed parameter...
Parkinson's disease (PD) is the most common neurological disorder, after Alzheimer's disease, and is...
Parkinson’s disease (PD) has significant heterogeneity in its presentation. To explain this heteroge...
Neuroimaging and modern computational techniques like spatial covariance analysis have contributed g...
<p>Links between the disease node and protein complexes represent associations between genes involve...
Parkinson's disease is the second most common neurological disease and affects about 1% of persons o...
Graph depicting the Bayesian network of 33 factors for the complete study sample (N = 23,865).</p