L3 - 4 Flashcards
Pre-central sulcus controls? Post?
Movement and planning
Sensation and perception
Obvious fissure is
Sylvian fissure aka lateral sulcus (central sulcus is hard to distinguish)
PFC is innervated by
Medio-dorsal nucleus
2 main types of multipolar neurons found in cerebral cortex
Pyramidal - primary excitation units of the mammalian prefrontal cortex and the corticospinal tract.
Stellate - star-like shape formed by dendritic processes radiating from the cell body
90% of neocortex has 6 layers (aka isocortex) - how many does allocortex have?
3 to 5 cell layers (around the edges of the brain)
Nissl stains bind to highly +ve or -ve charged structures?
-ve, e.g. Ribosomes and DNA hence you tend to just label cell bodies
_% of neurons in cerebral cortex are excitatory, _% are inhibitory - these include _ basic types and many subtypes
80%, 20%, 3 (interneurons)
Excitatory neurons within cortex project where?
Intra-telencephalic (telencephalon develops into cerebral cortex and basal ganglia) - project locally, across gyri, to other cortical areas and are only ones to project contralaterally
Excitatory neurons outside cortex project where?
Pyramidal tract neurons that project to brainstem, midbrain and spinal cord
Cortico-thalamic neurons project to ipsilateral thalamus
Is there an iterative (frequent repetition) unit of the cerebral cortex?
No - there is no consistency in what would unambiguously define a column in different regions of the cortex
Neocortex has 6 layers - what are they?
1) Aneuronal (neuropil - a dense network of interwoven nerve fibres and their branches and synapses, together with glial filaments)
2) Interneurons (EXT granular layer)
3) Pyramidal cells (EXT pyramidal)
4) Interneurons (INT granular)
5) Large pyramidal neurons (INT pyramidal)
6) Heterogeneous neurons (multiple form layer)
Cluster analysis
Placing things into different groups
Principle components analysis (PCA)
Statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components.
It emphasizes variation and bring out strong patterns in a dataset. It’s often used to make data easy to explore and visualize.
Structure of a minicolumn
- 20-40 um wide
- Vertical column through the layers of the brain
- Contains 80-120 cells (twice as much in visual cortex)
- Bundles together dendrites
- Afferent signal enters at layer IV of the minicolumn and spreads up and down
If you look at orientation of the cortex orthogonally, orientation sel. is the same/diff?
Same