Neuroscience Networks:

Microscale: Neurons (Excitatory, Inhibitory) linked by synapses (chemical) or gap junctions (electrical)
Macroscale: Regions linked by white matter bundles


Functional: relationships between brain regions that are functional instead of physical(?)

Network organization -> Network function
Studying organization across spatial scales, temporal scales, modalities

Micro: Detecting cell assemblies (groups of cells that are strongly tied) in networks - clusteirng algorithm… but how many?

Use dynamics of the neurons… compare to "surrogate" data sets to determine stopping point - once the grouping is no longer statistically significant(?), stop

Average minimum distance (between firing times) to cluster

Surrogate Data Sets: Add "jitter" to the spikes, repeat process, build "significance matrix"

Join neurons if significant. Join groups if significant. Once all selected done. Question: Doesn't this make the clusterings order-dependent?

Take cells from rat hippocampus and eventually they start to build connections

How does glial network interact with neuronal network? Neurons don’t' divide, glial cells do.

High glial group: more frequent less intense firing bursts (low glial group opposite) - so it seems the glial cells encourage development of "global synchronization patterns"

Can we use functional structure to determine the pathological difference between epileptic and healthy brains? Loops in synapses are what cause seizures.

Interictal spikes - non-debilitating spikes in epileptic patients

Epileptic slices -> more functional clusters, that are spatially localized

Doesn't seem to be repeated patterns in firing in epileptic clusters(?)

Macro: examine effect of stimulation to control the state of brain network