2017-08-25 11:51:23

Prelude

Today's topics

  • Spatial and temporal scales
  • A bit more about structural methods
  • Functional methods

Clarity

Functional methods

  • Recording from the brain
  • Interfering with the brain
  • Stimulating the brain
  • Simulating the brain

Recording from the brain

  • Single/multi unit recording
  • Microelectrodes
  • Small numbers of nerve cells

Single/multi-unit Recording

Single/multi-unit recording

  • What does neuron X respond to?
  • Great temporal (ms), spatial resolution (um)
  • Invasive
  • Rarely suitable for humans, but…

Electrocorticography (ECoG)

Single-cell studies ask…

  • How does firing frequency, timing vary with behavior?

Positron Emission Tomography (PET)

Positron Emission Tomography (PET)

  • Radioactive tracers (glucose, oxygen)
  • Positron decay
  • Experimental condition - control
  • Average across individuals

More on PET

  • Temporal (~ s) and spatial (mm-cm) resolution worse than fMRI
  • Radioactive exposures + mildly invasive
  • Dose < airline crew exposure in 1 yr

Functional Magnetic Resonance Imaging (fMRI)

  • Neural activity -> local \(O_2\) consumption increase
  • Blood Oxygen Level Dependent (BOLD) response
  • Oxygenated vs. deoxygenated hemoglobin ≠ magnetic susceptibility
  • How do regional blood \(O_2\) levels (& flow & volume) vary with behavior X?
  • MRI "signals" relate to the speed (1/T) of "relaxation" of the perturbed nuclei to their state of alignment with the main (\(B_0\)) magnetic field.
  • Imaging protocols emphasize different time constants of this relaxation (\(T1\), \(T2\), \(T2^*\)); \(T^2*\) for BOLD imaging

Evaluating fMRI

  • Non-invasive, but expensive
  • Moderate but improving (mm) spatial, temporal (~sec) resolution
  • Spatial limits due to
    • field strength (@ 3T ~3mm^3 voxel)
    • Physiology of hemodynamic response

  • Temporal limits due to
    • Hemodynamic Response Function (HRF): ~ 1s delay plus 3-6 s ramp-up
    • Speed of image acquisition
  • Indirect measure of neural activity

Hemodynamic Response Function (HRF)

Generate "predicted" BOLD response to event; compare to actual

Higher field strengths (3 Tesla vs. 7 Tesla)

I want some power…

"Assuming a realistic range of prior probabilities for null hypotheses, false report probability is likely to exceed 50% for the whole literature."

(Szucs & Ioannides, 2017)

Reproducibility of workflows

Electroencephalography (EEG)

  • How does it work?
  • Electrodes on scalp or brain surface
  • What do we measure?
    • Voltage differences between source and reference electrode
  • Combined activity of huge # of neurons

How does EEG arise?

  • Current/voltage gradients between apical (near surface) dendrites and basal (deeper) dendrites and cell body/soma

Collecting EEG

EEG

  • High temporal, poor spatial resolution
  • Analyze frequency bands
  • LOW: deep sleep (\(\delta\) band)
  • MIDDLE: Quiet, alert state (\(\alpha\) band)
  • HIGH: “Binding” information across senses? (\(\gamma\) band)

EEG Frequency

Event-related potentials (ERPs)

ERPs

Brain Computer Interface (BCI)

Magneto-encephalography (MEG)

  • Like EEG, but measuring magnetic fields
  • High temporal resolution
  • Magnetic field propagates w/o distortion
    • But are orthogonal to electric field
  • Requires shielded chamber (to keep out strong magnetic fields)
  • ++ cost vs. EEG

MEG

How do EEG/MEG and fMRI relate?

How do EEG/MEG and fMRI relate?

Manipulating the brain

  • Interfering with it
  • Stimulating it

Interfering with the brain

  • Nature’s“experiments”
  • Stroke, head injury, tumor
  • Neuropsychology

Phineas Gage

Evaluating neuropsychological methods

  • Logic: damage impairs performance = region critical for behavior
  • Weaker spatial/temporal resolution

Stimulating the brain

  • Electrical (Direct Current Stimulation - DCS)
  • Pharmacological
  • Magnetic (Transcranial magnetic stimulation-TMS)

Stimulating the brain

  • Spatial/temporal resolution?
  • Assume stimulation mimics natural activity?

Deep brain stimulation as therapy

  • Parkinson’s Disease
  • Depression
  • Epilepsy

Optogenetics more closely mimics brain activity

Simulating the brain

  • Computer/mathematical models of brain function
  • Example: neural networks
  • Cheap, noninvasive, can be stimulated or “lesioned”

Main points

  • Multiple structural, functional methods
  • Different levels of spatial & temporal analysis
  • Functional tools have different strengths & weaknesses

References

Gilmore, Rick O, Michele T Diaz, Brad A Wyble, and Tal Yarkoni. 2017. “Progress Toward Openness, Transparency, and Reproducibility in Cognitive Neuroscience.” Ann. N. Y. Acad. Sci., 2~may. N. Y. Acad. Sci. doi:10.1111/nyas.13325.

Logothetis, Nikos K, and Brian A Wandell. 2004. “Interpreting the BOLD Signal.” Annu. Rev. Physiol. 66 (1): 735–69. doi:10.1146/annurev.physiol.66.082602.092845.

Logothetis, Nikos K, Jon Pauls, Mark Augath, Torsten Trinath, and Axel Oeltermann. 2001. “Neurophysiological Investigation of the Basis of the fMRI Signal.” Nature 412 (6843): 150–57. doi:10.1038/35084005.

Poldrack, Russell A, Chris I Baker, Joke Durnez, Krzysztof J Gorgolewski, Paul M Matthews, Marcus R Munafò, Thomas E Nichols, Jean-Baptiste Poline, Edward Vul, and Tal Yarkoni. 2017. “Scanning the Horizon: Towards Transparent and Reproducible Neuroimaging Research.” Nat. Rev. Neurosci. advance online publication (5~jan). doi:10.1038/nrn.2016.167.

Sejnowski, Terrence J, Patricia S Churchland, and J Anthony Movshon. 2014. “Putting Big Data to Good Use in Neuroscience.” Nat. Neurosci. 17 (11): 1440–1. doi:10.1038/nn.3839.

Sladky, Ronald, Pia Baldinger, Georg S Kranz, Jasmin Tröstl, Anna Höflich, Rupert Lanzenberger, Ewald Moser, and Christian Windischberger. 2013. “High-Resolution Functional MRI of the Human Amygdala at 7 T.” Eur. J. Radiol. 82 (5): 728–33. doi:10.1016/j.ejrad.2011.09.025.