Altered effective connectivity in sensorimotor cortices: a novel signature of severity and clinical course in depression

Ray, Dipanjan; Безматерных, Д. Д.; Мельников, М. Е.; Friston, Karl J.; Das, Moumita

doi:10.1101/2021.03.14.435324

Cited by 4 publications

(2 citation statements)

References 116 publications

(122 reference statements)

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“…Therefore, characterizing neural correlates of the altered sensorimotor functions is important for a comprehensive and translatable understanding of the MDD. In a recent study, Ray and colleagues showed that altered effective connectivity in sensorimotor regions might act as a promising and quanti able candidate marker of depression severity and treatment response (Ray et al, 2021). Here our nding implies that network dysfunction of sensorimotor components occurs in adolescent MDD as well.…”

Section: Alternations In Nodal Centralities In the Ctnsmentioning

confidence: 55%

Aberrant morphological brain networks in first-episode, treatment-naive adolescents with major depressive disorder

Qiu

Pan

et al. 2023

Preprint

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Previous studies have shown that major depressive disorder (MDD) is associated with disrupted topological organizations of large-scale brain networks. However, the disruptions and their clinical and cognitive relevance are not well established for morphological brain networks in adolescent MDD. In this study, twenty-five first-episode, treatment-naive adolescents with MDD and nineteen healthy controls underwent T1-weighted MRI and a battery of neuropsychological tests. Individual morphological brain networks were constructed separately based on 4 morphological features, whose topological organizations were quantified by graph-based approaches. Permutation testing and partial correlation were used to examine between-group differences and clinical and cognitive relevance of the differences, respectively. Finally, support vector machine was used to classify the patients from controls. Compared with the controls, the patients exhibited topological alterations mainly in cortical thickness-based networks characterized by higher nodal centralities in parietal (left PriMary Sensory Cortex) but lower centralities in temporal (left ParaBelt Complex, right Perirhinal Ectorhinal Cortex, right Area PHT and right Ventral Visual Complex) regions. Moreover, decreased nodal centralities of some temporal regions were correlated with cognitive dysfunction and course of illness of the patients. These results were largely reproducible for binary and weighted network analyses. Finally, topological properties of the cortical thickness-based networks were able to distinguish the patients from controls with 87.6% accuracy. In short, adolescent MDD is associated with abnormal local organizations of morphological brain networks, which provide potential biomarkers for diagnosing and monitoring the disease.

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Section: Alternations In Nodal Centralities In the Ctnsmentioning

confidence: 55%

Aberrant morphological brain networks in first-episode, treatment-naive adolescents with major depressive disorder

Qiu

Pan

et al. 2023

Preprint

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“…It is well established that depression and anxiety are highly comorbid. Furthermore, a recent study by Ray et al [43] demonstrated depression associated changes in effective connectivity in sensory and motor cortices. The sadness survey in the NIH toolbox is a self-report measure which assesses sadness using a Computer-Adaptive Test (CAT).…”

Section: Methodsmentioning

confidence: 99%

Enhanced top-down sensorimotor processing in somatic anxiety

Bouziane

Das

Caballero-Gaudes

et al. 2021

Preprint

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BackgroundFunctional neuroimaging research on anxiety has traditionally focused on brain networks associated with the complex psychological aspects of anxiety. In this study, instead, we target the somatic aspects of anxiety. Motivated by the growing recognition that top-down cortical processing plays crucial roles in perception and action, we investigate effective connectivity among hierarchically organized sensorimotor regions and its association with (trait) anxiety.MethodsWe selected 164 participants from the Human Connectome Project based on psychometric measures. We used their resting-state functional MRI data and Dynamic Causal Modeling (DCM) to assess effective connectivity within and between key regions in the exteroceptive, interoceptive, and motor hierarchy. Using hierarchical modeling of between-subject effects in DCM with Parametric Empirical Bayes we first established the architecture of effective connectivity in sensorimotor networks and investigated its association with fear somatic arousal (FSA) and fear affect (FA) scores. To probe the robustness of our results, we implemented a leave-one-out cross validation analysis.ResultsAt the group level, the top-down connections in exteroceptive cortices were inhibitory in nature whereas in interoceptive and motor cortices they were excitatory. With increasing FSA scores, the pattern of top-down effective connectivity was enhanced in all three networks: an observation that corroborates well with anxiety phenomenology. Anxiety associated changes in effective connectivity were of effect size sufficiently large to predict whether somebody has mild or severe somatic anxiety. Interestingly, the enhancement in top-down processing in sensorimotor cortices were associated with FSA but not FA scores, thus establishing the (relative) dissociation between somatic and cognitive dimensions of anxiety.ConclusionsOverall, enhanced top-down effective connectivity in sensorimotor cortices emerges as a promising and quantifiable candidate marker of trait somatic anxiety. These results pave the way for a novel approach into investigating the neural underpinnings of anxiety based on the recognition of anxiety as an embodied phenomenon and the emerging interest in top-down cortical processing.

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