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Depression is marked by differences in structural covariance between deep-brain nuclei and sensorimotor cortex
by
Lyons, Siraj
, Depue, Brendan E.
, Beck, Isak
in
Adult
/ Aged
/ Automation
/ Bayesian analysis
/ Case studies
/ Deep brain nuclei
/ Depression
/ Depression - diagnostic imaging
/ Depression - pathology
/ Electrical stimuli
/ Female
/ Humans
/ Magnetic Resonance Imaging
/ Male
/ Medical imaging
/ Mental depression
/ Middle Aged
/ Morphometry
/ Neurobiology
/ Neuroimaging
/ Neuroimaging - methods
/ Operculum
/ Parkinson's disease
/ Psychopathology
/ Red nucleus
/ Red Nucleus - diagnostic imaging
/ Red Nucleus - pathology
/ Sensorimotor Cortex - diagnostic imaging
/ Sensorimotor Cortex - pathology
/ Sensory integration
/ Solitary tract nucleus
/ Somatosensory cortex
/ Structural morphometry
/ Substantia nigra
/ Substantia Nigra - diagnostic imaging
/ Substantia Nigra - pathology
/ Subthalamic nucleus
/ Subthalamic Nucleus - diagnostic imaging
/ Subthalamic Nucleus - pathology
2025
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Depression is marked by differences in structural covariance between deep-brain nuclei and sensorimotor cortex
by
Lyons, Siraj
, Depue, Brendan E.
, Beck, Isak
in
Adult
/ Aged
/ Automation
/ Bayesian analysis
/ Case studies
/ Deep brain nuclei
/ Depression
/ Depression - diagnostic imaging
/ Depression - pathology
/ Electrical stimuli
/ Female
/ Humans
/ Magnetic Resonance Imaging
/ Male
/ Medical imaging
/ Mental depression
/ Middle Aged
/ Morphometry
/ Neurobiology
/ Neuroimaging
/ Neuroimaging - methods
/ Operculum
/ Parkinson's disease
/ Psychopathology
/ Red nucleus
/ Red Nucleus - diagnostic imaging
/ Red Nucleus - pathology
/ Sensorimotor Cortex - diagnostic imaging
/ Sensorimotor Cortex - pathology
/ Sensory integration
/ Solitary tract nucleus
/ Somatosensory cortex
/ Structural morphometry
/ Substantia nigra
/ Substantia Nigra - diagnostic imaging
/ Substantia Nigra - pathology
/ Subthalamic nucleus
/ Subthalamic Nucleus - diagnostic imaging
/ Subthalamic Nucleus - pathology
2025
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Depression is marked by differences in structural covariance between deep-brain nuclei and sensorimotor cortex
by
Lyons, Siraj
, Depue, Brendan E.
, Beck, Isak
in
Adult
/ Aged
/ Automation
/ Bayesian analysis
/ Case studies
/ Deep brain nuclei
/ Depression
/ Depression - diagnostic imaging
/ Depression - pathology
/ Electrical stimuli
/ Female
/ Humans
/ Magnetic Resonance Imaging
/ Male
/ Medical imaging
/ Mental depression
/ Middle Aged
/ Morphometry
/ Neurobiology
/ Neuroimaging
/ Neuroimaging - methods
/ Operculum
/ Parkinson's disease
/ Psychopathology
/ Red nucleus
/ Red Nucleus - diagnostic imaging
/ Red Nucleus - pathology
/ Sensorimotor Cortex - diagnostic imaging
/ Sensorimotor Cortex - pathology
/ Sensory integration
/ Solitary tract nucleus
/ Somatosensory cortex
/ Structural morphometry
/ Substantia nigra
/ Substantia Nigra - diagnostic imaging
/ Substantia Nigra - pathology
/ Subthalamic nucleus
/ Subthalamic Nucleus - diagnostic imaging
/ Subthalamic Nucleus - pathology
2025
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Depression is marked by differences in structural covariance between deep-brain nuclei and sensorimotor cortex
Journal Article
Depression is marked by differences in structural covariance between deep-brain nuclei and sensorimotor cortex
2025
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Overview
•Depression is linked to salience, executive, and sensorimotor networks.•Little is known about deep brain nuclei involvement in depression.•Deep brain nuclei covariance with sensorimotor areas differs in depression.•Results may implicate sensorimotor processing and biases observed in depression.•Further work examining morphometric covariance is encouraged.
Depression impacts nearly 3% of the global adult population. Symptomatology is likely related to regions encompassing frontoparietal, somatosensory, and salience networks. Questions regarding deep brain nuclei (DBN), including the substantia nigra (STN), subthalamic nucleus (STN), and red nucleus (RN) remain unanswered.
Using an existing structural neuroimaging dataset including 86 individuals (Baranger et al., 2021; nDEP = 39), frequentist and Bayesian logistic regressions assessed whether DBN volumes predict diagnosis, then structural covariance analyses in FreeSurfer tested diagnostic differences in deep brain volume and cortical morphometry covariance. Exploratory correlations tested relationships between implicated cortical regions and Hamilton Depression Rating Scale (HAM-D) scores.
Group differences emerged in deep brain/cortical covariance. Right RN volume covaried with left parietal operculum volume and central sulcus thickness, while left RN and right STN volumes covaried with right occipital pole volume. Positive relationships were observed within the unaffected group and negative relationships among those with depression. These cortical areas did not correlate with HAM-D scores. Simple DBN volumes did not predict diagnostic group.
Structural codependence between DBN and cortical regions may be important in depression, potentially for sensorimotor features. Future work should focus on causal mechanisms of DBN involvement with sensory integration.
Publisher
Elsevier Inc,Elsevier Limited,Elsevier
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