3 Key Takeaways
Plain English Summary- 01Core Finding
Bayesian statistics offer the possibility to clarify these inconsistencies by providing evidence in favor and against observed associations.
- 02Study Evidence
Tested in a observational cohort study (1,864 patients) at the real-world cohort stage.
- 03Practical Meaning
Structural disconnection was linked to depressive symptoms in the bilateral frontal white matter prominently involving the corpus callosum and anterior thalamic radiation.
What This Means for You
Lesion associations were found in clusters in the right hemisphere including cortical (frontal, insular, parietal) and subcortical regions (striatum, amygdala, hippocampus) and adjacent white matter. Evidence of no contribution to post-stroke depressive symptoms was observed in large parts of the left hemisphere. Structural disconnection was linked to depressive symptoms in the bilateral frontal white matter prominently involving the corpus callosum and anterior thalamic radiation. Lesion network mapping revealed evidence of an association of post-stroke depressive symptoms with network connectivity in the left posterior cingulate cortex and precuneus, and less consistently, the bilateral anterior insula, along with widespread absence of associations in other regions. Depressive symptoms were most strongly associated with right frontal lesions and right-dominant structural disconnection in frontal cortico-subcortical circuits.
The Discovery
Post-stroke depressive symptoms are common, but studies on the contributions of lesion locations to depression symptoms remain inconsistent. Bayesian statistics offer the possibility to clarify these inconsistencies by providing evidence in favor and against observed associations. We reanalyzed four previously published observational cohorts with 1,864 patients with stroke characterized for depressive symptoms from France, Korea, Germany and the USA. We performed voxel-wise Bayes factor mapping using general linear models. Lesion maps were used to test for associations of post-stroke depressive symptoms with lesion location. Network level associations were tested based on structural disconnection and functional lesion network maps estimated by reference to normative connectome data. Due to a sample size with broad lesion coverage, Bayesian inference was informative in large parts of the brain. Lesion associations were found in clusters in the right hemisphere including cortical (frontal, insular, parietal) and subcortical regions (striatum, amygdala, hippocampus) and adjacent white matter.
How It Works, Simply
This neurology research focuses on neuroprotective & synaptic biomarker (measurable biological signal) pathway. Researchers evaluated it using an observational cohort study (1,864 patients) at the real-world cohort stage of medical research.
3 Key Takeaways
Clinical Takeaways- 01Core Finding
Bayesian statistics offer the possibility to clarify these inconsistencies by providing evidence in favor and against observed associations.
- 02Study Evidence
Tested in a observational cohort study (1,864 patients) at the real-world cohort stage.
- 03Practical Meaning
Structural disconnection was linked to depressive symptoms in the bilateral frontal white matter prominently involving the corpus callosum and anterior thalamic radiation.
Biological Mechanism & Study Design
Study Design & Cohort
Observational cohort study
Observational cohort study (1,864 patients) · Real-World Cohort
Biological Pathway & Modality
Neuroprotective & synaptic biomarker pathway
Intervention: Network disruption in post-stroke depressive symptoms: a Bayesian multicohort study
Experimental Findings & Endpoints
Post-stroke depressive symptoms are common, but studies on the contributions of lesion locations to depression symptoms remain inconsistent.
Bayesian statistics offer the possibility to clarify these inconsistencies by providing evidence in favor and against observed associations. We reanalyzed four previously published observational cohorts with 1,864 patients with stroke characterized for depressive symptoms from France, Korea, Germany and the USA.
We performed voxel-wise Bayes factor mapping using general linear models. Lesion maps were used to test for associations of post-stroke depressive symptoms with lesion location.
Network level associations were tested based on structural disconnection and functional lesion network maps estimated by reference to normative connectome data. Due to a sample size with broad lesion coverage, Bayesian inference was informative in large parts of the brain.
Lesion associations were found in clusters in the right hemisphere including cortical (frontal, insular, parietal) and subcortical regions (striatum, amygdala, hippocampus) and adjacent white matter.
Clinical Translation & Practice Context
Lesion associations were found in clusters in the right hemisphere including cortical (frontal, insular, parietal) and subcortical regions (striatum, amygdala, hippocampus) and adjacent white matter.
Evidence of no contribution to post-stroke depressive symptoms was observed in large parts of the left hemisphere. Structural disconnection was linked to depressive symptoms in the bilateral frontal white matter prominently involving the corpus callosum and anterior thalamic radiation.
Lesion network mapping revealed evidence of an association of post-stroke depressive symptoms with network connectivity in the left posterior cingulate cortex and precuneus, and less consistently, the bilateral anterior insula, along with widespread absence of associations in other regions. Depressive symptoms were most strongly associated with right frontal lesions and right-dominant structural disconnection in frontal cortico-subcortical circuits.
The Bottom Line · Clinical Pearl
“Depressive symptoms were most strongly associated with right frontal lesions and right-dominant structural disconnection in frontal cortico-subcortical circuits.”
Published in Brain: A Journal of Neurology · Current Stage: Real-World Cohort
