Graphs and the brain: from social network measures to predicting recovery from coma Iulia Maria Comșa Department of Clinical Neurosciences Supervisor:

Slides:

Advertisements

Similar presentations

Clinical Applications of Spectral Analysis Winni Hofman, PhD University of Amsterdam Medcare Amsterdam.

Advertisements

What is the World Like for Other People? Perception and Reality Things Are Not Always As They Seem...

Abstract Electrical activity in the cortex can be recorded by surface electrodes. Electro Encephalography (EEG) machine records potential difference between.

Classification of Sleep EEG Václav Gerla cvut

Brain-computer interfaces: classifying imaginary movements and effects of tDCS Iulia Comşa MRes Computational Neuroscience and Cognitive Robotics Supervisors:

Induced Brain Waves by Binaural Beats: A Study on Numerosity.

Artifact (artefact) reduction in EEG – and a bit of ERP basics CNC, 19 November 2014 Jakob Heinzle Translational Neuromodeling Unit.

Complex network of the brain I Small world vs. scale-free networks Jaeseung Jeong, Ph.D. Department of Bio and Brain Engineering, KAIST.

Copyright ©2010 BMJ Publishing Group Ltd. Monti, M. M., Laureys S., Owen, M.A. BMJ 2010;341:c3765 Flow chart of cerebral insult and coma. Adapted from.

AH Neurophysiological assessment of coma. AH Definitions Consciousness is the state of awareness of self and the environment and coma is its opposite.

EEG findings in patients with Neurological Disorders Instructor: Dr. Gharibzadeh By: Fahime Sheikhzadeh.

Higher Mental Functions. The brain exhibits electrical activity, which is associated with higher mental functions.

Brain Machine Interaction. Non-invasive BCIs Electroencephalography(EEG) - the neurophysiologic measurement of the electrical activity of the brain by.

Business Minor grade adjustments on Midterm 2 Opportunity to participate in Cognitive Neuroscience and Perception experiment - sign up for Tuesday, Wednesday.

Discussion Section: Review, Viirre Lecture Adrienne Moore

“The individual is cosmic.”. Four Months TM Practice (18 years old) Eyes Open TM Travis, 1991.

Complex Network Measures Of Brain Connectivity BAM Journal Club October 17, 2014 By Theresa Smith 1.

Small-world networks and epilepsy: Graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures S.C. Ponten, F. Bartolomei, C.J.

Altering cognitive and brain states through cortical entrainment: A pilot study of binaural beats in visual target detection using dense-array EEG Nicholas.

Behavioral paradigm development for fMRI and EEG Jason Zevin Sackler Institute.

Measuring the brain’s response to temporally modulated sound stimuli Chloe Rose Institute of Digital Healthcare, WMG, University of Warwick, INTRODUCTION.

Functional Brain Signal Processing: Current Trends and Future Directions Kaushik Majumdar Indian Statistical Institute Bangalore Center

What can Electrophysiology (and Brain Rythms) tell us about ‘Meditation’ ? Jean-Philippe LACHAUX CNRS - LENA - PARIS INSERM – U280 – LYON Stirling Workshop.

Prepared by: Badiuzaman Bin Baharu Supervisor: Dr. Nasreen Bt. Badruddin.

Reconstructing and Recording Images the Mind Sees Anthony D’Onofrio BME 281 Section 2, Tuesdays October 23, 2012.

Your brain is made up of billions of brain cells called neurons, which use electricity to communicate with each other. The combination of millions of neurons.

Small World Problem Christopher McCarty. Small World Phenomenon You meet someone, seemingly randomly, who has a connection to someone you know – Person.

Dement and Kleitman (1957) REM and dreams The relation of eye movements during sleep to dream activity: An objective method for the study of dreaming.

1 presentation of article: Small-World File-Sharing Communities Article: Adriana Iamnitchi, Matei Ripeanu, Ian Foster Presentation: Periklis Akritidis.

Graz-Brain-Computer Interface: State of Research By Hyun Sang Suh.

Functional Brain Signal Processing: EEG & fMRI Lesson 4

Team Members: Yinong Wang, Kiron Sukesan, Matthew Hwang Clients: Dr. Brandon Lucey and Dr. Yo-El Ju Mentor: Dr. Daniel Moran At Home Sleep Stage Monitor.

Gary O’ Donoghue Electronic & Computer Engineering, National University of Ireland, Galway Final Year Project A small number of consumer electronics.

Graph Evolution: A Computational Approach Olaf Sporns, Department of Psychological and Brain Sciences Indiana University, Bloomington, IN 47405

EEG-Based Communication and Control: Short-Term Role Feedback Present by: Yu Yuan-Chu Dennis J. Mcfarland, Lynn M. McCane, and J. R. Wolpaw.

Consciousness Wegner, People believe their consciousness is controlling their actions when it isn't. Mental concepts re-emerged because of neuroscience.

Spectral Analysis of Resting State Electroencephalogram (EEG) in Subjects With and Without Family Histories of Alcoholism Spectral Analysis of Resting.

CP PSYCHOLOGY Altered States of Consciousness Sleep Mrs. Bradley Newark High School.

Dement and Kleitman (1957) REM and dreams

PSY.Dreaming. Bellringer Ms. Knight can never fall asleep when she returns from Washington State. This is due to the 3-hour time difference. Use your.

Definition from the Association for Applied Psychophysiology and Biofeedback “ Neurofeedback teaches the ability to modify brainwave activity. It is a.

Consciousness. Seeing activity in the temporal cortex in response to hearing once name would be indication of what conscious state?

INTRODUCTION RESULTS METHODS CONCLUSIONS Research partially supported by CONICET, CONICYT/FONDECYT.

The role of synchronous gamma-band activity in schizophrenia Jakramate 2009 / 01 / 14.

Techniques to Study the Brain. In the olden days… It was really difficult to study brain anatomy and function unless somebody died or an accident occurred.

Netlogo demo. Complexity and Networks Melanie Mitchell Portland State University and Santa Fe Institute.

All slides © S. J. Luck, except as indicated in the notes sections of individual slides Slides may be used for nonprofit educational purposes if this copyright.

Innovation in Learning Analytics and Learning Scenarios in Clinical Psychiatry WEDNESDAY APRIL │ K1.28 Carolyn Hodgman Leading Education Initiatives,

GridEEG – User training

Complex network of the brain I Small world vs. scale-free networks Jaeseung Jeong, Ph.D. Department of Bio and Brain Engineering, KAIST.

Transfer Entropy and Information Flow Patterns in Functional Brain Networks during Cognitive Activity Presented By Md. Hedayetul Islam Shovon Cognitive.

Dr. Ervin Sejdić, Ph.D. Assistant Professor

[Ran Manor and Amir B.Geva] Yehu Sapir Outlines Review

Brain Electrophysiological Signal Processing: Postprocessing

Automatic Sleep Stage Classification using a Neural Network Algorithm

Richard Coppola3, Daniel Weinberger4,5, Danielle S. Bassett1,6

Paediatric Head Injury – To CT or not CT?

Brain: Higher Functions

GLASGOW COMA SCALE (GCS) GLASGOW OUTCOME SCALE (GOS) Presentant: dr. Dewie Susan Supervisor: dr. H.A.R. Toyo, Sp.S(K) dr. Masita, Sp.S.

Department of Computer Science University of York

Left middle frontal cortex, caudate nuclei

Jason Samaha, Bradley R. Postle Current Biology

PCI & Auditory ERPs for the diagnosis of disorders of consciousness

Bedside detection of awareness in the vegetative state: a cohort study

Assessment of Neural Dynamics in Severe Traumatic Brain Injured Patients with Disorders of Consciousness Casey S. Gilmore, Ph.D. Defense and Veterans Brain.

Time–frequency maps of event-related signal power changes.

Identification of phasic activity bursts in the dentate gyrus.

Repeated results from two strongly-responding participants.

Spectra superimposed on the brain over each electrode for patient JC during a hand movement task (red curves) and resting interval (blue curves). Spectra.

Examples of single-trial, time-domain, bandpass-filtered (1–50 Hz) EEG traces at electrode Fz from phantom (cantaloupe) and human participants (one with.

Presentation transcript:

Graphs and the brain: from social network measures to predicting recovery from coma Iulia Maria Comșa Department of Clinical Neurosciences Supervisor: Dr. Srivas Chennu

Patient P2: the fine line Traumatic brain injury after a plane crash Induced coma to allow the brain to recover Coma scores No chances of recovery initially given by doctors Went on to fully recover after two months Can we provide a tool that can predict recovery in similar patients? Wijdicks et al. (2005)

It’s a small world Stanley Milgram’s experiment (1967) Average chain length? What is the structure of a network where this is possible? 5 persons! Target person Stock broker, Washington Librarian, New York Painter, New York Starting person Secretary, Boston

Small-world networks High clustering Short path length

Small-world networks The World Wide Web Source: Martin Spernau; TouchGraph LLC The human brain Source: Bullmore & Sporns (2007) Online social networks Source: Wolphram|Alpha

Turning the brain into a network The human brain Source: Bullmore & Sporns (2007) By anatomy

Turning the brain into a network By anatomy The human brain Source: Bullmore & Sporns (2007)

Turning the brain into a network The human brain Source: Bullmore & Sporns (2007) By function

Turning the brain into a network By function The human brain Source: Bullmore & Sporns (2007)

EEG recordings Electroencephalography (EEG) records electrical activity from the scalp very good temporal resolution comfortable and cost-efficient Source:

What can we see in the EEG? Preprocessing Removing artifacts: eye blinks, sudden movements Frequency analyses Oscillations

EEG oscillations and consciousness Oscillation frequency varies with consciousness wakefulness awareness Dement & Kleitman (1957)

Disorders of consciousness Coma no wakefulness or awareness Vegetative state wakefulness but no awareness Minimally conscious state transient signs of awareness

Building spectral connectivity networks from EEG data

Connectivity networks in chronic disorders of consciousness Lower frequency networks Re-emergence of healthy patterns in the topology of alpha band networks (8 to 13 Hz) Example: two patients with the same coma score (CRS-R) Tennis playing task to assess covert consciousness: No Yes

What about P2’s EEG? Auditory processing task P2 could hear and attend to sounds before showing visible improvement in responsiveness. Can we see this in his connectivity networks? How do graph measures evolve in patients recovering from coma?

The aim: A better clinical assessment tool EEG-based Non-invasive Real-time Complementary to current assessment tools Giving a voice to patients like P2!

Thank you.