Are individual differences quantitative or qualitative? An integrated behavioral and fMRI MIMIC approach

Zadelaar, Jacqueline; Weeda, Wouter D.; Waldorp, Lourens J.; Duijvenvoorde, Anna C. K. van; Blankenstein, Nettie; Huizenga, Hilde M.

doi:10.1016/j.neuroimage.2019.116058

Cited by 17 publications

(12 citation statements)

References 76 publications

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“…In a similar vein, and although group statistics suggest otherwise, individual parameters of gamma oscillations in tonic and chronic pain show that pain is not encoded by gamma activity in all study participants (May et al, 2019; Schulz et al, 2015). The enormous variability of the individual pain signatures indicates qualitative rather than quantitative differences between patients (Zadelaar et al, 2019). If this phenomenon would be true, this would suggest that the currently discussed “replication crisis” (Huber, Potter, & Huszar, 2019; Open Science Collaboration, 2015) in neuroimaging would rather be a “sample crisis,” for which the replication of an effect would depend on whether the repeated study had included a similar “dominant” subsample of participants showing similar activity patterns.…”

Section: Discussionmentioning

confidence: 99%

Patients with chronic pain exhibit individually unique cortical signatures of pain encoding

Mayr

Jahn

Stankewitz

et al. 2021

Human Brain Mapping

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Chronic pain is characterised by an ongoing and fluctuating intensity over time. Here, we investigated how the trajectory of the patients' endogenous pain is encoded in the brain. In repeated functional MRI (fMRI) sessions, 20 patients with chronic back pain and 20 patients with chronic migraine were asked to continuously rate the intensity of their endogenous pain. Linear mixed effects models were used to disentangle cortical processes related to pain intensity and to pain intensity changes. At group level, we found that the intensity of pain in patients with chronic back pain is encoded in the anterior insular cortex, the frontal operculum, and the pons; the change of pain in chronic back pain and chronic migraine patients is mainly encoded in the anterior insular cortex. At the individual level, we identified a more complex picture where each patient exhibited their own signature of endogenous pain encoding. The diversity of the individual cortical signatures of chronic pain encoding results bridge between clinical observations and neuroimaging; they add to the understanding of chronic pain as a complex and multifaceted disease.

show abstract

Section: Discussionmentioning

confidence: 99%

Patients with chronic pain exhibit individually unique cortical signatures of pain encoding

Mayr

Jahn

Stankewitz

et al. 2021

Human Brain Mapping

View full text Add to dashboard Cite

show abstract

“…In a similar vein, and although group statistics suggest otherwise, individual parameters of gamma oscillations in tonic and chronic pain show that pain is not encoded by gamma activity in all study participants (May et al, 2019; Schulz et al, 2015). The enormous variability of the individual pain signatures indicates qualitative rather than quantitative differences between patients (Zadelaar et al, 2019). If this phenomenon would be true, this would suggest that the currently discussed “replication crisis” in neuroimaging would rather be a “sample crisis”, for which the replication of an effect would depend on whether the repeated study had included a similar “dominant” sub-sample of participants showing similar activity patterns.…”

Section: Discussionmentioning

confidence: 99%

Chronic Pain Patients Exhibit Individually Unique Cortical Signatures of Pain

Mayr

Jahn

Stankewitz

et al. 2020

Preprint

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We investigated how the trajectory of pain patients' ongoing and fluctuating pain is encoded in the brain. In repeated fMRI sessions, 20 chronic back pain patients and 20 chronic migraineurs were asked to continuously rate the intensity of their endogenous pain. Linear mixed effects models were used to disentangle cortical processes related to pain intensity and to pain intensity changes. We found that the intensity of pain in chronic back pain patients is encoded in the anterior insula, the frontal operculum, and the pons; the change of pain of chronic back pain and chronic migraine patients is mainly encoded in the anterior insula. At the individual level, we identified a more complex picture where each patient exhibited their own signature of endogenous pain encoding. The diversity of the individual cortical signatures of chronic pain encoding results adds to the understanding of chronic pain as a complex and multifaceted disease.

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“…In terms of analytical frameworks, here we implement a relatively new analytical framework, called SEM-trees (Brandmaier et al, 2013) (Zadelaar et al, 2019), Gaussian process structural equation models (e.g. Silva and Gramacy, 2010), latent class and latent profile analysis (Oberski, 2016), general frameworks such as decision trees (McArdle, 2013) and model-based cluster analysis (Fraley and Raftery, 1999), as well as extensions of SEM trees such as SEM forests (Brandmaier et al, 2016).…”

Section: Limitations Of the Present Studymentioning

confidence: 99%

Neurocognitive reorganization between crystallized intelligence, fluid intelligence and white matter microstructure in two age-heterogeneous developmental cohorts

Simpson-Kent

Fuhrmann

Bathelt

et al. 2019

Preprint

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Despite the reliability of intelligence measures in predicting important life outcomes such as educational achievement and mortality, the exact configuration and neural correlates of cognitive abilities remain poorly understood, especially in childhood and adolescence. Therefore, we sought to elucidate the factorial structure and neural substrates of child and adolescent intelligence using two cross-sectional, developmental samples (CALM: N=551 (N=165 imaging), age range: 5-18 years, NKI-Rockland: N=337 (N=65 imaging), age range: 6-18 years). In a preregistered analysis, we used structural equation modelling (SEM) to examine the neurocognitive architecture of individual differences in childhood and adolescent cognitive ability. In both samples, we found that cognitive ability in lower and typical-ability cohorts is best understood as two separable constructs, crystallized and fluid intelligence, which became more distinct across development, in line with the age differentiation hypothesis. Further analyses revealed that white matter microstructure, most prominently the superior longitudinal fasciculus, was strongly associated with crystallized (gc) and fluid (gf)abilities. Finally, we used SEM trees to demonstrate evidence for developmental reorganization of gc and gf and their white matter substrates such that the relationships among these factors dropped between 7-8 years before increasing around age 10. Together, our results suggest that shortly before puberty marks a pivotal phase of change in the neurocognitive architecture of intelligence.

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Are individual differences quantitative or qualitative? An integrated behavioral and fMRI MIMIC approach

Cited by 17 publications

References 76 publications

Patients with chronic pain exhibit individually unique cortical signatures of pain encoding

Patients with chronic pain exhibit individually unique cortical signatures of pain encoding

Chronic Pain Patients Exhibit Individually Unique Cortical Signatures of Pain

Neurocognitive reorganization between crystallized intelligence, fluid intelligence and white matter microstructure in two age-heterogeneous developmental cohorts

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