A multiscale cerebral neurochemical connectome of the rat brain.
Hamid Reza NooriJudith SchöttlerMaria Ercsey-RavaszAlejandro Cosa-LinanMelinda VargaZoltan ToroczkaiRainer SpanagelPublished in: PLoS biology (2017)
Understanding the rat neurochemical connectome is fundamental for exploring neuronal information processing. By using advanced data mining, supervised machine learning, and network analysis, this study integrates over 5 decades of neuroanatomical investigations into a multiscale, multilayer neurochemical connectome of the rat brain. This neurochemical connectivity database (ChemNetDB) is supported by comprehensive systematically-determined receptor distribution maps. The rat connectome has an onion-type structural organization and shares a number of structural features with mesoscale connectomes of mouse and macaque. Furthermore, we demonstrate that extremal values of graph theoretical measures (e.g., degree and betweenness) are associated with evolutionary-conserved deep brain structures such as amygdala, bed nucleus of the stria terminalis, dorsal raphe, and lateral hypothalamus, which regulate primitive, yet fundamental functions, such as circadian rhythms, reward, aggression, anxiety, and fear. The ChemNetDB is a freely available resource for systems analysis of motor, sensory, emotional, and cognitive information processing.
Keyphrases
- resting state
- functional connectivity
- machine learning
- network analysis
- oxidative stress
- big data
- health information
- spinal cord
- cerebral ischemia
- artificial intelligence
- electronic health record
- white matter
- subarachnoid hemorrhage
- neuropathic pain
- high resolution
- emergency department
- transcription factor
- social media
- healthcare
- blood brain barrier
- multiple sclerosis
- genome wide
- minimally invasive
- depressive symptoms
- dna methylation
- spinal cord injury
- adverse drug