2017-08-25 11:10:13

PSY 511

Foundations of Cognitive and Affective Neuroscience

Rick O. Gilmore, Ph.D.
Associate Professor of Psychology

Today's topics

  • Why neuroscience is harder than physics
  • Course overview
  • Methods in neuroscience

Why neuroscience is harder than physics

What do we need to know to answer the question?

Brain & behavior are complex, dynamic systems with

  • Components
  • Interactions
  • Forces/influences
  • Boundaries
  • Inputs/outputs/processes

Systems…

  • "Behave" or change state across time
  • Return to starting state
  • Appear to be regulated, controlled, influenced by feedback loops

May be thought of as networks

Studying systems is hard because…

  • Single parts -> multiple functions
  • Single functions -> multiple parts
  • Change structure/function over time (learning, development)
  • Biological systems not "designed" like human-engineered ones
  • Measuring what is being exchanged? What is being controlled?

Course overview

Goals

  • Master fundamentals of neuroscientific concepts and facts
  • Prepare to read primary source literature in behavioral, cognitive, affective, and clinical neuroscience

Structure

Questions

  • What is the basic plan of the nervous system?
  • How do neurons work?
  • How do neurons connected in networks achieve behavioral goals?
  • How does the nervous system develop? How has it evolved?

Approach

Brain architecture (neuroanatomy)

Brain function (neurophysiology)

Brain communication (neurochemistry)

Changes over evolutionary and developmental time

Approach

  • The nervous system as information processing system
  • Inputs
    • From environment, body, brain
  • Processing
    • Current inputs + brain state + body state + possible future states…
    • Stored information
    • Physiological & behavioral goals

  • Outputs
    • To brain, body, environment

Cajal/Swanson Architecture

Neuroscience methods

Evaluating methods

What is the question?

  • Structure X -> Structure Y
  • Structure X -> Function Y

What are we measuring?

  • Structure
  • Activity

Evaluating methods

Strengths & Weaknesses

  • Cost
  • Invasiveness
  • Spatial/temporal resolution

Spatial resolution

Types of methods

Structural

  • Anatomy
  • Connectivity/connectome

Functional (next time)

  • What does it do?
  • Physiology/Activity

Mapping structures

  • Cell/axon stains
  • Golgi stain – whole cells
  • Cellular distribution, concentration, microanatomy

Nissl stain

Mapping structures

- Computed axial tomography (CAT), CT - X-ray based

Tomography

Magnetic Resonance Imaging

  • Magnetic resonance a property of some isotopes and complex molecules
  • In magnetic field, absorb and release radio frequency energy
  • Hydrogen, common in water & fat, is one
  • Aligns with strong magnetic field
  • When perturbed, speed of realignment varies by tissue
  • Realignment gives off radio frequency (RF) signals
  • Strength of RF ~ density

MRI

Structural MRI

  • Tissue density/type differences
  • Gray vs. white - Axon fibers
  • Spectroscopy
  • Region sizes/volumes

Voxel-based morphometry (VBM)

Volume differences in schizophrenic patients vs. controls

(Pomarol-Clotet et al. 2010)

What is the wiring diagram ("connectome")?

Retrograde (output -> input) vs. anterograde (input -> output) tracers

Diffusion Tensor Imaging (DTI)

  • Structural MRI technique
  • Diffusion tensor: measurement of spatial pattern of \(H_2O\) diffusion in small volume
  • Uniform ("isotropic") vs. non-uniform ("anisotropic")
  • Strong anisotropy suggests large # of axons with similar orientations (fiber tracts)

Connectome as matrix

Main points

  • Psychology is harder than physics
  • Understanding brain/behavior relations requires a diverse toolkit

Your turn

  1. Pick two papers you want to read and (better) understand
    • Email me APA formatted citation (with DOIs)
    • Indicate three concepts/terms you are especially interested in understanding
  2. Choose a behavior or mental state you want to (better) understand
    • Take an information processing perspective and briefly sketch out (in no more than a short paragraph) the main inputs, outputs, and computations involved.

References

Pomarol-Clotet, E, E J Canales-Rodríguez, R Salvador, S Sarró, J J Gomar, F Vila, J Ortiz-Gil, Y Iturria-Medina, A Capdevila, and P J McKenna. 2010. “Medial Prefrontal Cortex Pathology in Schizophrenia as Revealed by Convergent Findings from Multimodal Imaging.” Mol. Psychiatry 15 (8): 823–30. doi:10.1038/mp.2009.146.