Monografie
Displaying the autonomic processing network in humans – a global tractography approach
- Language
-
Englisch
- Identifier
-
1230754180
Contributor
- DOI
-
10.1016/j.neuroimage.2021.117852
- URN
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
26.01.2023, 1:56 PM CET
Object type
- Monografie
Other Objects (12)
Approximation to pain‐signaling network in humans by means of migraine
The dual-loop model for combining external and internal worlds in our brain
The ventral pathway of the human brain: a continuous association tract system
Ventral tegmental area connections to motor and sensory cortical fields in humans
Speaking in Gestures: left dorsal and ventral frontotemporal brain‐systems underlie communication in conducting
Deep learning segmentation results in precise delineation of the putamen in multiple system atrophy
Symptom-specific amygdala hyperactivity modulates motor control network in conversion disorder
Increased interstitial fluid in periventricular and deep white matter hyperintensities in patients with suspected idiopathic normal pressure hydrocephalus
Robust intra-individual estimation of structural connectivity by Principal Component Analysis
Focal cervical spinal stenosis causes mechanical strain on the entire cervical spinal cord tissue – a prospective controlled, matched-pair analysis based on phase-contrast MRI
Spinal cord motion assessed by phase-contrast MRI - an inter-center pooled data analysis
Tractographic description of major subcortical projection pathways passing the anterior limb of the internal capsule. Corticopetal organization of networks relevant for psychiatric disorders
Approximation to pain‐signaling network in humans by means of migraine
The dual-loop model for combining external and internal worlds in our brain
The ventral pathway of the human brain: a continuous association tract system
Ventral tegmental area connections to motor and sensory cortical fields in humans
Speaking in Gestures: left dorsal and ventral frontotemporal brain‐systems underlie communication in conducting
Deep learning segmentation results in precise delineation of the putamen in multiple system atrophy
Symptom-specific amygdala hyperactivity modulates motor control network in conversion disorder
Increased interstitial fluid in periventricular and deep white matter hyperintensities in patients with suspected idiopathic normal pressure hydrocephalus
Robust intra-individual estimation of structural connectivity by Principal Component Analysis
Focal cervical spinal stenosis causes mechanical strain on the entire cervical spinal cord tissue – a prospective controlled, matched-pair analysis based on phase-contrast MRI
Spinal cord motion assessed by phase-contrast MRI - an inter-center pooled data analysis
Tractographic description of major subcortical projection pathways passing the anterior limb of the internal capsule. Corticopetal organization of networks relevant for psychiatric disorders
Approximation to pain‐signaling network in humans by means of migraine
The dual-loop model for combining external and internal worlds in our brain
The ventral pathway of the human brain: a continuous association tract system
Ventral tegmental area connections to motor and sensory cortical fields in humans
Speaking in Gestures: left dorsal and ventral frontotemporal brain‐systems underlie communication in conducting
Deep learning segmentation results in precise delineation of the putamen in multiple system atrophy
Symptom-specific amygdala hyperactivity modulates motor control network in conversion disorder
Increased interstitial fluid in periventricular and deep white matter hyperintensities in patients with suspected idiopathic normal pressure hydrocephalus
Robust intra-individual estimation of structural connectivity by Principal Component Analysis
Focal cervical spinal stenosis causes mechanical strain on the entire cervical spinal cord tissue – a prospective controlled, matched-pair analysis based on phase-contrast MRI
Spinal cord motion assessed by phase-contrast MRI - an inter-center pooled data analysis