0000000000537265

AUTHOR

Afra Wohlschlaeger

showing 2 related works from this author

Neural Correlates of Deficits in Pain-Related Affective Meaning Construction in Patients With Chronic Pain Disorder

2013

OBJECTIVE Psychological and neural mechanisms of the affective dimension of pain are known to be disturbed in patients with chronic pain disorder. The aim of this functional magnetic resonance imaging study was to assess the neurofunctional and behavioral measures underlying the ability to construct pain-related affective meaning in a painful situation by comparing 21 clinically and psychometrically well-characterized patients with persistent non-nociceptive somatoform pain with 19 healthy controls. METHODS The functional magnetic resonance imaging task involved viewing pictures depicting human hands and feet in different painful and nonpainful situations. Participants were asked to estimat…

Malemedicine.medical_specialtyAffective neuroscienceGyrus CinguliToronto Alexithymia ScaleAlexithymiaAdaptation PsychologicalInterview PsychologicalmedicineHumansAffective SymptomsSomatoform DisordersPsychiatryApplied PsychologyEmotional IntelligencePain MeasurementCerebral CortexAnalysis of VarianceBrain MappingPain disordermedicine.diagnostic_testDepressionBeck Depression InventoryChronic painPain PerceptionMiddle Agedmedicine.diseaseMagnetic Resonance ImagingPsychiatry and Mental healthCase-Control StudiesFemalePain catastrophizingSelf ReportChronic PainEmpathyFunctional magnetic resonance imagingPsychologyPhotic StimulationClinical psychologyPsychosomatic Medicine
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Discovering Aberrant Patterns of Human Connectome in Alzheimer's Disease via Subgraph Mining

2012

Alzheimer's disease (AD) is the most common cause of age-related dementia, which prominently affects the human connectome. Diffusion weighted imaging (DWI) provides a promising way to explore the organization of white matter fiber tracts in the human brain in a non-invasive way. However, the immense amount of data from millions of voxels of a raw diffusion map prevent an easy way to utilizable knowledge. In this paper, we focus on the question how we can identify disrupted spatial patterns of the human connectome in AD based on a data mining framework. Using diffusion tractography, the human connectomes for each individual subject were constructed based on two diffusion derived attributes: …

Computer sciencebusiness.industryPattern recognitionGraph theoryHuman ConnectomeHuman brainGrey mattercomputer.software_genremedicine.diseaseWhite mattermedicine.anatomical_structureVoxelHuman ConnectomesFractional anisotropymedicineDementiaDiffusion TractographyArtificial intelligencebusinesscomputerDiffusion MRI2012 IEEE 12th International Conference on Data Mining Workshops
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