Gewählte Publikation:
SHR
Neuro
Krebs
Kardio
Lipid
Stoffw
Microb
Gandarillas, MÁ; Goswami, N.
Diversity of Hemodynamic Reactive Profiles across Persons-Psychosocial Implications for Personalized Medicine.
J Clin Med. 2022; 11(13):
Doi: 10.3390/jcm11133869
[OPEN ACCESS]
Web of Science
PubMed
FullText
FullText_MUG
- Co-Autor*innen der Med Uni Graz
-
Goswami Nandu
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- Abstract:
- This study analyzed the individual differences in hemodynamic time patterns and reactivity to cognitive and emotional tasks, and explored the diversity of psycho-physiological profiles that could be used for the personalized prediction of different diseases. An analysis of heart rate (HR)-blood pressure (BP) relationship patterns across time using cross-correlations (CCs) during a logical-mathematical task and a task recalling negative emotions (rumination) was carried out in a laboratory setting on 45 participants. The results showed maximum HR-BP CCs during the mathematical task significantly more positive than the maximum HR-BP CCs during the rumination task. Furthermore, our results showed a large variety of hemodynamic reactivity profiles across the participants, even when carrying out the same tasks. The most frequent type showed positive HR-BP CCs under cognitive activity, and several positive-negative HR-BP CCs cycles under negative emotional activity. In general terms, our results supported the main hypothesis. We observed some distinct time-based "coordination strategies" in the reactivity of the autonomic nervous system under emotional vs. cognitive loading. Overall, large individual, as well as situational, specificities in hemodynamic reactivity time patterns were seen. The possible relationships between this variety of profiles and different psychosocial characteristics, and the potential for integrative predictive health within the provision of highly personalized medicine, are discussed.
- Find related publications in this database (Keywords)
-
autonomic nervous system
-
hemodynamics
-
predictive health
-
personalized medicine
-
psychosocial factors
-
integrative medicine