Editing Functional neuroimaging (section)

== Functional neuroimaging topics ==
The measure used in a particular study is generally related to the particular question being addressed.  Measurement limitations vary amongst the techniques.  For instance, MEG and EEG record the magnetic or electrical fluctuations that occur when a population of neurons is active.  These methods are excellent for measuring the time-course of neural events (on the order of milliseconds,) but generally bad at measuring where those events happen.  PET and fMRI measure changes in the composition of blood near a neural event.  Because measurable blood changes are slow (on the order of seconds), these methods are much worse at measuring the time-course of neural events, but are generally better at measuring the location.

Traditional "activation studies" focus on determining distributed patterns of brain activity associated with specific tasks.  However, scientists are able to more thoroughly understand brain function by studying the interaction of distinct brain regions, as a great deal of neural processing is performed by an integrated network of several regions of the brain.  An active area of neuroimaging research involves examining the functional connectivity of spatially remote brain regions.  Functional connectivity analyses allow the characterization of interregional neural interactions during particular cognitive or motor tasks or merely from spontaneous activity during rest.  FMRI and PET enable creation of functional connectivity maps of distinct spatial distributions of temporally correlated brain regions called functional networks. Several studies using neuroimaging techniques have also established that posterior visual areas in blind individuals may be active during the performance of nonvisual tasks such as Braille reading, memory retrieval, and auditory localization as well as other auditory functions.<ref>{{Cite journal | last1 = Gougoux | first1 = F. D. R. | last2 = Zatorre | first2 = R. J. | last3 = Lassonde | first3 = M. | last4 = Voss | first4 = P. | last5 = Lepore | first5 = F. | title = A Functional Neuroimaging Study of Sound Localization: Visual Cortex Activity Predicts Performance in Early-Blind Individuals | doi = 10.1371/journal.pbio.0030027 | journal = PLOS Biology | volume = 3 | issue = 2 | pages = e27 | year = 2005 | pmid =  15678166| pmc =544927 | doi-access = free }} {{open access}}</ref>

A direct method to measure functional connectivity is to observe how stimulation of one part of the brain will affect other areas. This can be done noninvasively in humans by combining [[transcranial magnetic stimulation]] with one of the neuroimaging tools such as PET, fMRI, or EEG. Massimini et al. (''Science'', September 30, 2005) used EEG to record how activity spreads from the stimulated site. They reported that in [[non-REM sleep]], although the brain responds vigorously to stimulation, functional connectivity is much attenuated from its level during wakefulness. Thus, during deep sleep, "brain areas do not talk to each other".

Functional neuroimaging draws on data from many areas other than [[cognitive neuroscience]] and [[social neuroscience]], including other biological sciences (such as [[neuroanatomy]] and [[neurophysiology]]), [[physics]] and [[maths]], to further develop and refine the technology.