FMRI Methods Lecture8 – Electrophysiology & fMRI.

Slides:



Advertisements
Similar presentations
Introduction to Neural Networks
Advertisements

fMRI Methods Lecture 9 – The brain at rest
Basis of the BOLD Signal
Physiological Basis of the BOLD Signal Kerstin Preuschoff Institute for Empirical Research in Economics, University of Zurich Thanks for Slides and images.
The physiology of the BOLD signal
Chapter 4: Local integration 2: Neural correlates of the BOLD signal
Electrophysiology of neurons. Some things to remember…
Electrophysiology. Electroencephalography Electrical potential is usually measured at many sites on the head surface More is sometimes better.
Cross-cortical Coherence during Effector Decision Making Chess Stetson Andersen Laboratory Caltech Sloan-Swartz Meeting 2009/07/28.
HST 583 fMRI DATA ANALYSIS AND ACQUISITION Neural Signal Processing for Functional Neuroimaging Emery N. Brown Neuroscience Statistics Research Laboratory.
Electrophysiology.
The spatial extent of cortical synchronization: Modulation by internal and external factors Adrian M Bartlett, BA Cog. Sci. Perception & Plasticity Lab.
Neural Coding 4: information breakdown. Multi-dimensional codes can be split in different components Information that the dimension of the code will convey.
Biological Modeling of Neural Networks: Week 11 – Continuum models: Cortical fields and perception Wulfram Gerstner EPFL, Lausanne, Switzerland 11.1 Transients.
Class Web Site Go to ->current students - > class websites -> NEUR 3680A - >Class Websitewww.uleth.ca You will find the course outline as.
fMRI introduction Michael Firbank
Electrophysiology. Neurons are Electrical Remember that Neurons have electrically charged membranes they also rapidly discharge and recharge those membranes.
Opportunity to Participate
Subdural Grid Intracranial electrodes typically cannot be used in human studies It is possible to record from the cortical surface Subdural grid on surface.
Experimental Design in fMRI
Electroencephalography and the Event-Related Potential
The physiology of the BOLD signal Methods & models for fMRI data analysis 18 February 2009 Klaas Enno Stephan Laboratory for Social and Neural Systems.
FMRI: Biological Basis and Experiment Design Lecture 2 Pretest results Neural architecture Programming assignment.
FMRI: Biological Basis and Experiment Design Lecture 13: BOLD Neurons per voxel Neural signaling Neural/vascular link? HRF –linearity 1 light year = 5,913,000,000,000.
BOLD fMRI Cheryl Olman 4th year student Department of Neuroscience and
How does the mind process all the information it receives?
Principles of MRI Some terms: – Nuclear Magnetic Resonance (NMR) quantum property of protons energy absorbed when precession frequency.
Future Brain Professor Keith Kendrick. Future Brain.
Functional Magnetic Resonance Imaging.  All subatomic particles possess a property called ‘spin’  i.e. like a planet rotating on it’s axis  Magnetic.
The Nervous System Chapters 39 & 40. Overview Three overlapping functions: sensory input, integration, and motor output Sensory input – the conduction.
Lecture 2 – Introduction to Neurophysiology research Ilan Dinstein.
Functional Brain Signal Processing: Current Trends and Future Directions Kaushik Majumdar Indian Statistical Institute Bangalore Center
Brain energy use, control of blood flow, and the basis of BOLD signals David Attwell University College London.
Biological Basis for the Blood Oxygenation Level Dependent signal.
Simultaneous BOLD fMRI and in vivo calcium imaging Journal Club Schulz et al Relevant talks by Anna Devor Jove: in vivo calcium imaging.
Changju Lee Visual System Neural Network Lab. Department of Bio and Brain Engineering.
FMRI Methods Lecture7 – Review: analyses & statistics.
Recording of electrical activity / electrical stimulation of brain tissue Spike trains Spikes.
How well do we understand the neural origins of the fMRI BOLD signal? Owen J Arthurs and Simon Boniface Trends in Neuroscience, 2002 Gillian Elizabeth.
fMRI Methods Lecture 12 – Adaptation & classification
Neuronal Activity & Hemodynamics John VanMeter, Ph.D. Center for Functional and Molecular Imaging Georgetown University Medical Center.
Cognition, Brain and Consciousness: An Introduction to Cognitive Neuroscience Edited by Bernard J. Baars and Nicole M. Gage 2007 Academic Press Chapter.
Statistical Parametric Mapping
Class 3: Neurons  BOLD 2012 spring fMRI: theory & practice.
Chapter 3 Notes AP Tips. Know the basic structure of a neuron  Dendrites receive information from adjacent neurons; process incoming chemicals and propel.
The brain at rest. Spontaneous rhythms in a dish Connected neural populations tend to synchronize and oscillate together.
Functional MRI David Card. fMRI So what exactly are we measuring in fMRI? Our goal is to “see” neural activity We are actually seeing changes in blood.
During in vitro ripples, intracellular spikelets correspond to extracellular population spikes, hence presumably correspond to coupling potentials; Draguhn.
What are we measuring in fMRI?
Statistical Parametric Mapping Lecture 2 - Chapter 8 Quantitative Measurements Using fMRI BOLD, CBF, CMRO 2 Textbook: Functional MRI an introduction to.
AP PSYCHOLOGY REVIEW Neuron Note #3. 1. Which part of the neuron receives messages from other cells? a) Axon b) Dendrite c) Soma d) Myelin e) Nucleus.
Dynamic Causal Model for evoked responses in MEG/EEG Rosalyn Moran.
The linear systems model of fMRI: Strengths and Weaknesses Stephen Engel UCLA Dept. of Psychology.
Electrophysiology & fMRI. Neurons Neural computation Neural selectivity Hierarchy of neural processing.
BRAIN AND BEHAVIOR. WHY DO PSYCHOLOGISTS STUDY THE NERVOUS SYSTEM? The nervous system is the direct source of all behavior The nervous system is shaped.
Date of download: 6/28/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Teamwork Matters: Coordinated Neuronal Activity in.
Richard Tomsett1,2 Marcus Kaiser1,3,4
Electrophysiology. Neurons are Electrical Remember that Neurons have electrically charged membranes they also rapidly discharge and recharge those membranes.
How can we study the brain?
PETER PAZMANY CATHOLIC UNIVERSITY
1011 neurons (105 per mm3) 1015 synapses.
What do we (not) measure with fMRI?
Spike Sorting for Extracellular Recordings
1011 neurons (105 per mm3) 1015 synapses.
Inhibition and Brain Work
Long-Term Two-Photon Imaging in Awake Macaque Monkey
Neuromodulation of Brain States
Microglia-synapse interactions in mice following LPS injections.
Rapid Neocortical Dynamics: Cellular and Network Mechanisms
Nonlinear transfer of signal and noise correlations in vivo.
Presentation transcript:

fMRI Methods Lecture8 – Electrophysiology & fMRI

Neurovascular coupling Iadecola et. al. 2007

Neural activity “Input” versus “output” of a neuron Ions moving across the membrane

Energy consumption Brain activity consumes 20% of the body’s energy at rest. Glucose + oxygen => ATP Vasculature replenishes metabolites. Laughlin et. al. Science 2003 Anesthesia reduces brain energy consumption by ~50%.

Energy consumption The power required for neural “Signaling” is a sum of both neural output (spikes) and input: Lennie P. Curr Bio 2003 Input Output

Neural activity costs Input is more expensive than output. Neurons spend more energy on “listening” than “talking” Dogma: Neural output (firing rate) is the interesting part.

Hemodynamic changes Neural input or output? Combination of both?

Electrophysiology Different techniques: 1.Intra-cellular recordings 2.Extra-cellular recordings 3.Fluorescence imaging Different spatial resolutions: 1.Single neuron activity 2.Multi unit activity 3.Local field potential

Extra-cellular recordings Separate the recorded signal into different components. High frequencies (>500 Hz): Low frequencies (<100 Hz):

Simultaneous measurements Measure simultaneous electrophysiology and fMRI and compare. Logothetis et. al. Nature 2001

Simultaneous measurements Before separating electrophysiology into different components

Simultaneous measurements LFP and BOLD responses are sustained while MUA seems to adapt very quickly. Anything strange?

BOLD – spiking dissociations Several other studies have reported such dissociations… Viswanathan et. al. Nat. Neurosci. 2007

BOLD – spiking dissociations Several other studies have reported such dissociations… Viswanathan et. al. Nat. Neurosci. 2007

Spatial Sampling MUA is a local measure, summing neural spikes only of neurons surrounding the immediate electrode tip. LFP and BOLD are wider measures, summing dendritic/synaptic activity several mm surrounding the electrode.

Sampling bias Multi unit activity is mainly generated by large layer 5 pyramidal cells. These are the main “output” neurons of the cortex. LFP and BOLD sum across all cell sizes in all layers.

Cortical structure In cortex, 80% of a neurons output synapses are located within 1 mm of its soma. Strong recurrent innervation. Only 6% of V1 synapses (mostly layer 4) are from thalamic neurons. Input without output? Increased LFP without spiking?

BOLD, LFP, and spikes Epilepsy patients implanted with electrodes in auditory cortex: Mukamel et. al. Science 2005

BOLD, LFP, and spikes Neural activity correlated with fMRI:

BOLD, LFP, and spikes Different LFP frequencies showed different relationship to BOLD:

Optogenetics Hyung Lee et. al. Nature 2010

Optogenetics Inject virus into motor cortex. Axons of infected cells reach thalamus. Stimulate in motor cortex and measure activity in both locations.

During rest What about spontaneous activity? Shmuel et. al. HBM 2008

During rest Significant correlations between neural activity and BOLD during rest…

Negative BOLD? Shmuel et. al. Nat. Neurosci. 2006

Negative BOLD?

Cerebellum Subcortical brain areas might demand more caution. Architecture is different: no recurrent innervation. There is a difference between input and output. BOLD coupled to input. Caeser et. al. PNAS 2003 GABA agonist halts PC spikes BOLD continues

One more thought The effects of neuro-modulators (caffeine, hormones, noradrenalin, dopamine, serotonin, etc…) on particulars of neural activity and neurovascular coupling are unknown.

To the lab