RT Journal Article
T1 Network Analysis Reveals That Headache-Related, Psychological and Psycho–Physical Outcomes Represent Different Aspects in Women with Migraine
A1 Fernández de las Peñas, César
A1 Florencio, Lidiane L.
A1 Varol, Umut
A1 Pareja, Juan A.
A1 Ordás Bandera, Carlos
A1 Valera Calero, Juan Antonio
AB Evidence supports that migraine is a complex pain condition with different underlying mechanisms. We aimed to quantify potential associations between demographic, migraine-related, and psychophysical and psychophysical variables in women with migraine. Demographic (age, height, and weight), migraine-related (intensity, frequency, and duration), related-disability (Migraine Disability Assessment Scale, Headache Disability Inventory), psychological (Hospital Anxiety and Depression Scale), and psycho–physical (pressure pain thresholds -PPTs-) variables were collected from a sample of 74 women suffering from migraine. We calculated adjusted correlations between the variables by using a network analysis. Additionally, we also calculated centrality indices to identify the connectivity among the variables within the network and the relevance of each variable in the network. Multiple positive correlations (𝜌) between PPTs were observed ranging from 0.1654 (C5-C6 and tibialis anterior) to 0.40 (hand and temporalis muscle). The strongest associations within the network were those between migraine attack frequency and diagnosis of chronic migraine (𝜌 = 0.634) and between the HDI-E and HDI-P (𝜌 = 0.545). The node with the highest strength and betweenness centrality was PPT at the second metacarpal, whereas the node with the highest harmonic centrality was PPT at the tibialis anterior muscle. This is the first study applying a network analysis to understand the underlying mechanisms in migraine. The identified network revealed that a model where each subgroup of migraine-related, psychological, and psycho–physical variables showed no interaction between each variable. Current findings could have clinical implications for developing multimodal treatments targeting the identified mechanisms.
PB MDPI (Multidisciplinary Digital Publishing Institute)
YR 2022
FD 2022-09-26
LK https://hdl.handle.net/20.500.14352/134119
UL https://hdl.handle.net/20.500.14352/134119
LA eng
NO Fernández-de-las-Peñas C, Florencio LL, Varol U, Pareja JA, Ordás-Bandera C, Valera-Calero JA. Network Analysis Reveals That Headache-Related, Psychological and Psycho–Physical Outcomes Represent Different Aspects in Women with Migraine. Diagnostics. 2022;12(10).
DS Docta Complutense
RD 11 abr 2026