the science of dreams
DESCRIPTION
The Science of Dreams. Presentation by Charles Beaman MD/PhD Student UT Health. Are Dreams Important?. 2 Nobel Prizes. Neils Bohr Structure of Atoms and Quantum Mechanics. Otto Loewi Chemical Transmission of Nerve Impulses. How Do We Measure Dreams?. How Do We Measure Dreams?. - PowerPoint PPT PresentationTRANSCRIPT
The Science of DreamsPresentation
byCharles Beaman
MD/PhD StudentUT Health
Are Dreams Important?2 Nobel Prizes
Otto Loewi Chemical Transmission of
Nerve Impulses
Neils BohrStructure of Atoms and
Quantum Mechanics
How Do We Measure Dreams?
How Do We Measure Dreams?St
ages
of S
leep
Two Types of DreamsSt
ages
of S
leep
NREM
REM
Alpine Racer 2
Dreaming in RatsNow we can actually LISTEN to the Neurons in the brain
Dreaming in Rats
Rats in the Maze
Dreaming in Rats
NREM Dreaming
REM Dreaming
• Compressed in Time Scale (1 sec of dream equals 10 of reality)• Practice Learned skills
• Expanded Time Scale • Simulations?• Testing Future Possibilities
Why Do We have Nightmares?
How Does My Lab Measure Dreams?
Electrocorticoraphy
• Intractable Epilepsy Patients
• Patients in the Hospital for about 1 week
• We can use this time window to study Sleep
Local Sleep
The Dream-Reading Machine
Neural Decoding of Visual Imagery During Sleep
T. Horikawa, M. Tamaki, Y. Miyawaki, Y. KamitaniATR Computational Neuroscience Laboratories, Kyoto, Japan
Task Design
Awoken every 5-6 minutes
Outline of Sleep (Nap) Experiment
• 3 subjects• 1 pm to 5:30 pm• fMRI scans + EEG, EOG, EMG, and ECG• Usually last 90 minutes over 7 days > 200
awakenings with visual report• Subject awakened after single epoch of alpha-
wave suppression and theta-wave (ripple) occurrence (Stage 1 sleep)
Success with Awakening at Appropriate Time
235 awakenings
198 awakenings
186 awakenings
Example of Verbal Reports
Reports lasted 34 +- 19 seconds
They also collected a “Vividness” and subjective timing of each event, but did not use this data
Non-visual reports were classified as: thought (active thinking), forgot, non-visual, and no report
Visual Content Labeling - WordNet
Based on Synonymy – 117,000 “synsets” that are sets of related words
They assigned all reports to synsets.
Base Synsets – Common, specific
semantically exclusive and specific
Visual Stimulus Experiment
• Used ImageNet – 240 images per base synset
• Placed in center of screen, subjects freely viewed images without fixation
• fMRI recorded for each base synset
• 9 second stimulus block, 6 images sampled from one synset, .75 s with .75 s interleaved blanks
• Followed by 6 s rest period
• ~40 blocks per base synset were recorded
Area of Brain Studied• Higher Visual Cortex – ventral region covering
lateral occipital complex, fusiform face area, and parahippocampal area (1000 voxels)
• Lower Visual Cortex – V1 to V3 (1000 voxels)• Subareas (400 voxels)
Pairwise DecodingBinary classifier was first trained on fMRI data to 2 base synsets, then tested on sleep samplesContaining exclusively 1 of the 2 synsets
Multilabel Decoding
Videos
• http://www.sciencemag.org.ezproxyhost.library.tmc.edu/content/suppl/2013/04/03/science.1234330.DC1/1234330s1.mov
• http://www.sciencemag.org.ezproxyhost.library.tmc.edu/content/suppl/2013/04/03/science.1234330.DC1/1234330s2.mov
Sleep Types