4D Functional Imaging in Freely Moving Animals Randall L. Barbour SUNY Downstate Medical Center OSA Biomedical Optics Meeting Fort Lauderdale, FL, March.

Slides:



Advertisements
Similar presentations
Design and Initial Testing of Imager for Simultaneous Bilateral Optical Mammography OSA Biomedical Optics Topical Meeting April th, 2004 Miami, Florida.
Advertisements

Neuroimaging for Cognitive Research
Physiological Variation in Vascular Reactivity of Breast Tissue over the Menstrual Cycle Demonstrated by Optical Tomography Katz MS1, Hardin RE1, Franco.
Part 01 - fNIRS: a cost-effective and robust technique for measuring neuroactivation 1.
Temporal-Spectral Imaging of Functional States Randall L. Barbour NIRx Medical Technologies LLC SUNY Downstate Medical Center 4 th NIH Optical Imaging.
Presenter: Douglas S. Pfeil, Sergio A. Ramirez, Harry L. Graber, LeRone Simpson, Dimitre Stefanov, Tigran Gevorgyan, Joshua Burak, Vinay Tak, Wilson Ko,
Alexander Vavilov Optical topography principles and example of an application. Bachelor Thesis Work.
Derivation and Validation of Metrics for Breast Cancer Diagnosis from Diffuse Optical Tomography Imaging Data Randall L. Barbour, Ph.D. SUNY Downstate.
Synchrony in Neural Systems: a very brief, biased, basic view Tim Lewis UC Davis NIMBIOS Workshop on Synchrony April 11, 2011.
Part 2: Introduction to NIRx Hardware and Software
fMRI introduction Michael Firbank
1 Affective Learning with an EEG Approach Xiaowei Li School of Information Science and Engineering, Lanzhou University, Lanzhou, China
Center for Brain and Cognitive Science Mind Reading for Cognitive Systems Yong-Ho Lee Center for Brain & Cognitive Research Korea Research Institute of.
Vladislav Toronov, Ph. D. Using Physics to Image Brain Function.
Optical Topography: An overview Nima Kasraie Spring 2007.
FIBER OPTIC RS-OCT PROBE Team Members: John Acevedo Kelly Thomas Chris Miller Advisors: Dr. Patil Dr. Mahadevan-Jansen.
Bio-Economics Supply and Demand According to Chance.
Multimodal Neural Optical Imaging with Current Swept VCSELs
IPOD Neural Impulse Demonstration. Brain and Behavior Introduction.
-- 1 Voltage-Sensitive Dye Optical Imaging Vassiliy Tsytsarev Department of Anatomy and Neurobiology.
Methods in brain research 1.Structure a. Morphology b. Pathways 2. Function.
The brain is impossibly complicated - if it were simple enough to understand, we'd be too simple to understand it. - Lyall Watson.
Recording of electrical activity / electrical stimulation of brain tissue Spike trains Spikes.
Unit 3-B (A): Brain Monitoring Tools Mr. McCormick A.P. Psychology.
Cognition, Brain and Consciousness: An Introduction to Cognitive Neuroscience Edited by Bernard J. Baars and Nicole M. Gage 2007 Academic Press Chapter.
DECREASED FLICKER SENSITIVITY WITH A SCANNED LASER DISPLAY. J.P. Kelly 1, H.L. Pryor, E.S. Viirre, T. Furness III. 1 Children's Hospital & Medical Center;
Optical Neuroimaging: Investigating Plasticity Multi-Modal Neuroimaging Program Presenter: Santresda Johnson B.A., M.S. Neuropsychology, Howard University.
Maxim Vilensky, Saratov State University, Russia Oxana V. Semyachkina-Glushkovskaya, Saratov State University, Russia Denis A. Alexandrov, Saratov State.
Memory, Brain (Chapter 8.1) Vengertsev Dmitry. Agenda Goals: 1) provide general overview of what we do know about underlying biological processes and.
The Brain.  Brainstem  the oldest part and central core of the brain, beginning where the spinal cord swells as it enters the skull  responsible for.
Acknowledgement Work supported by NINDS (grant NS39845), NIMH (grants MH42900 and 19116) and the Human Frontier Science Program Methods Fullhead.
Multivariate time series analysis Bijan Pesaran Center for Neural Science New York University.
Multi-Electrode Arrays (MEAs) March 25, Introduction Multi-electrode Arrays, or MEAs, are quickly becoming a common tool to investigate patterns.
Methodology in the Biological Level of Analysis Learning Objectives: 1.Discuss how and why particular research methods are used at the biological level.
Figure 4: Temporal and spatial evolution of horizontal wind field on 11 February 2010 estimated by SDI (monostatic (blue)) and FPI bistatic (without vertical.
Vocab 3b The Brain. area at the front of the parietal lobes that registers and processes body touch and movement sensations.
Date of download: 6/9/2016 Copyright © 2016 SPIE. All rights reserved. Schematic showing the spatially modulated NIR illumination system. Figure Legend:
Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. Schematic representation of the near-infrared (NIR) structured illumination instrument,
Date of download: 6/23/2016 Copyright © 2016 SPIE. All rights reserved. (a) This image shows the fNIRS sources (dark blue filled circles), detectors (light.
Date of download: 6/26/2016 Copyright © 2016 SPIE. All rights reserved. The absorption spectra of oxy- and deoxyhemoglobin relative to emission spectra.
Date of download: 6/28/2016 Copyright © 2016 SPIE. All rights reserved. Optogenetic tools and light tissue penetration: (a) schematic representation of.
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. Optical setup and schematic description of the acquisition. (a) Optical setup inside.
Chapter 2 E: Brain Monitoring Tools
EEG, Event-related potential (ERP), Magnetoencephalography (MEG)
COMPARISON OF OPTICAL AND fMRI MEASURES OF NEUROVASCULAR COUPLING
Attention Components and Creative Potential: An ERP Exploration
SUNY Downstate Medical Center
Functional Imaging with Diffuse Optical Tomography
Vassiliy Tsytsarev University of Maryland school of Medicine
Brain Initiative Informational Conference Call
Volume 83, Issue 2, Pages (July 2014)
A Miniature Head-Mounted Two-Photon Microscope
Functional Convergence at the Retinogeniculate Synapse
Michael S Beauchamp, Kathryn E Lee, Brenna D Argall, Alex Martin 
Volume 105, Issue 4, Pages (August 2013)
LightGage™ Frequency Scanning Technology
Volume 39, Issue 2, Pages (July 2003)
Representations of Taste Modality in the Drosophila Brain
Volume 79, Issue 4, Pages (August 2013)
Posterior parietal cortex
New Experiences Enhance Coordinated Neural Activity in the Hippocampus
Volume 89, Issue 5, Pages (March 2016)
Michael S Beauchamp, Kathryn E Lee, Brenna D Argall, Alex Martin 
Neuromodulation of Brain States
Volume 89, Issue 5, Pages (March 2016)
Volume 23, Issue 21, Pages (November 2013)
Imaging Inhibitory Synaptic Potentials Using Voltage Sensitive Dyes
Dreamed Movement Elicits Activation in the Sensorimotor Cortex
Surround Integration Organizes a Spatial Map during Active Sensation
Pairing-Induced Changes of Orientation Maps in Cat Visual Cortex
Presentation transcript:

4D Functional Imaging in Freely Moving Animals Randall L. Barbour SUNY Downstate Medical Center OSA Biomedical Optics Meeting Fort Lauderdale, FL, March 20, 2005

09/07/2005R.L. Barbour Cell Free Preparation Cell Culture Organotypic Culture Perfused Organ Anesthetized Animal Restrained Animal Freely Moving Animal Degree of Control Higher Lower Phenomenological Complexity Maximal Minimal Levels of Analysis in Biological Investigation

09/07/2005R.L. Barbour Why Freely Moving Animals? Only preparation capable of expressing the full behavioral repertoire of a species. – Aggression – Mating – Fear – Perceptual – Locomotor – Manipulative Current imaging tools require investigation on restrained/anesthetized animals. – PET/SPECT – MR-fMRI – MEG

09/07/2005R.L. Barbour Why Optical Methods? Inexpensive, compact instrumentation High intrinsic sensitivity Deep tissue penetration Fast data collection Easily overlaid on other sensing technologies Opportunity for dynamic studies

09/07/2005R.L. Barbour Objectives of current study 1. Determine feasibility of continuous functional imaging in freely moving animals while simultaneously recording behavioral, neural and hemodynamic responses. 2. Identify the temporal and spatial dependence of the vascular response as gated to EEG (theta) rhythms.

09/07/2005R.L. Barbour Detector channels Power supplies Laser controllers Source fiber terminal Optical switch FRONT BACK Lasers / optics Timing Photo of 9s x 32d imager

09/07/2005R.L. Barbour Schematic of System Setup DYNOT compact system Laptop computer Optical tether Arena w/ animal Head stage w/ Tracking LED Electro- physiology recording system Environmental chamber synchronization Electrical tether Computer Video cam Computer w/ frame grabber Figure 12. Schematic of Optical Imaging-EEG-Behavior Monitoring System.

09/07/2005R.L. Barbour Dual mode optical-EEG measuring head Optical array: 4 source x 16 detector Dual wavelength: 760, 830 nm Framing rate: 17 Hz EEG: 12, 0.1mm diameter electrodes Optical Fibers 1.8 mm dia. Tracking LED’s Electrode leads Connecting Clips Male part Female part

09/07/2005R.L. Barbour Dual mode optical-EEG measuring head Optical fiber extension element EEG Electrodes Grounding wires Male Part Female Part

09/07/2005R.L. Barbour Rat Brain Anatomy with Optical-EEG Overlay Transmitting/receiving Fiber Left Cortical Hemisphere Right Cortical Hemisphere Hippocampus Cerebellum Olfactory bulbs Receiving Fiber EEG Electrodes

09/07/2005R.L. Barbour Rat with attached helmet and tether

09/07/2005R.L. Barbour Movie of freely moving rat with attached tether

09/07/2005R.L. Barbour Hippocampal EEG Rhythms Theta Amplitude Time Large Irregular Activity

09/07/2005R.L. Barbour Data Analysis-Integration Time Theta Non-Theta Theta Non-Theta Optical Image Time Series EEG Time Series

09/07/2005R.L. Barbour FEM Mesh for Rat Brain Model S-D Geometry (3D View) FEM Mesh (3D View) 7-compartment model of rat head anatomy obtained from CT scan FEM nodes. From Bluestone et al

09/07/2005R.L. Barbour Approach Capture simultaneous: EEG, behavior and dual wavelength tomographic time-series. Compute volumetric images Determine temporal/spatial dependence of Hb on EEG/behavior states.

09/07/2005R.L. Barbour Time dependence of spatially integrated findings. Spatial dependence of temporally integrated findings. RESULTS

09/07/2005R.L. Barbour Exp. 1: EEG-Gated Hb Spatial Mean Time Series Red – Non-Theta Green – Theta (animal moving) Hb oxy Hb deoxy Hb tot HbO 2 Sat

09/07/2005R.L. Barbour Exp 1: Time Averaged-Whole Brain EEG-Gated Hemoglobin Response Hemoglobin State EEG classification Mean (M) Standard deviation (M) Number of time frames t-statistic (df) p-value Hb oxy Non-Theta-6.18e-91.46e (935.92) 2.39e-104 Theta1.06e-81.86e-8828 Hb deoxy Non-Theta1.93e-99.38e ( ) 2.57e-56 Theta-3.25e-98.34e-9828 Hb tot Non-Theta-4.25e-91.55e (929.08) 5.93e-51 Theta7.37e-92.03e-8828 HbO 2 Sat Non-Theta ( ) 4.29e-138 Theta

09/07/2005R.L. Barbour Stationarity of EEG-Gated Hb Response P-value Hb Oxy Hb Deoxy Hb Total Hb Sat.. ……

09/07/2005R.L. Barbour Time Lag of Hb Response Figure 8. Hb response as a function of removal of fraction of initial period.

09/07/2005R.L. Barbour Spatially Integrated findings of vascular response to theta rhythm – Increased Hb oxy – Decreased Hb deoxy – Increase Hb tot – Increased HbO 2 Sat – i.e., BOLD effect

09/07/2005R.L. Barbour EEG-Gated Hb Response Rat 1 Session 1 (Sec 1 - 4) Rat 1 Session 2 (Sec 1 - 4) Rat 2 Session 1 (Sec 1 - 4) Rat 2 Session 2 (Sec 1 - 4) B A C D HbOxy HbDeoxy HbTot HbSat HbOxy HbDeoxy HbTot HbSat

09/07/2005R.L. Barbour Time Dependence of Gated Response Hb Sat HbTot HbDeoxy HbOxy Four sessions combined (0-1 sec) Four Sessions Combined (Sec 1 - 4)

09/07/2005R.L. Barbour Spatial dependence Spatial response is reproducible across trials. Positive, negative and mixed BOLD effects are mainly spatially distinct.

09/07/2005R.L. Barbour Autoregulatory dependent hemoglobin states Hemoglobin State State 1 State 2 State 3 State 4 State 5 State 6 Hb oxy Hb deoxy Hb tot BalancedUncomp. oxygen debt Comp. oxygen debt BalancedUncomp. oxygen excess Comp. oxygen excess

09/07/2005R.L. Barbour Hb oxy+ Hb deoxy+ Hb tot+ Spatial Mean Time Series for Autoregulatory State 4 (Balanced) Pixel No

09/07/2005R.L. Barbour Hb oxy+ Hb deoxy- Hb tot+ Spatial Mean Time Series for Autoregulatory State 5 (Uncompensated oxygen excess) Pixel No

09/07/2005R.L. Barbour Hb oxy+ Hb deoxy- Hb tot- Spatial Mean Time Series for Autoregulatory State 6 (Compensated oxygen excess) Pixel No

09/07/2005R.L. Barbour Nose Spatial dependence of autoregulatory response

09/07/2005R.L. Barbour Temporal Averaged Gated Maps of Hb States conditionIIIIIIIVVVI∑ Nodes (Theta) Nodes (Non- theta) Theta Images Non- theta Images Diff. Images Blue: Non- theta Red: Theta

09/07/2005R.L. Barbour P-values for Theta vs. Non-theta for Autoregulatory dependent hemoglobin states Hemoglobin State State 1 State 2 State 3 State 4 State 5 State 6 Hb oxy < Hb deoxy < < Hb tot < < BalancedUncomp. oxygen debt Comp. oxygen debt BalancedUncomp. oxygen excess Comp. oxygen excess

09/07/2005R.L. Barbour Time-integrated Hb states: Theta Composite

09/07/2005R.L. Barbour Time-integrated Hb states: Non-Theta Composite

09/07/2005R.L. Barbour Conclusions Real-time recording of hemodynamic, EEG and behavorial responses is technically feasible in freely moving animals. Hemodynamic response to theta rhythms are reproducible and spatially distinct. Method provides for assessment of temporal- spatial dynamics of autoregulatory response to neural activation.

09/07/2005R.L. Barbour Future Considerations Imaging under defined behavioral paradigms to ascertain localizability of EEG dependent hemodynamic responses. Influence of pharmacoactive agents on measured responses. Technological improvements: >S-D pairs, wavelengths, etc. Development of human compatible system.