אפיון מחלות נוירודגנרטיביות ע"י הדמיה

סמינר: גישות חישוביות בהדמיה מוחית

שנת הלימודים תשס"ח-ט

פרופ' נתן אינטרטור ד"ר תלמה הנדלר

ביה"ס למדעי המחשב פיסיולוגיה ופרמקולוגיה, רפואה

0368-4129, Semester I CS -

Presentation dates:

March 5 2pm-5pm at TAU; Sun March 16 2pm-4pm at Ichilov; Wed 2-4 at TAU

Partial List of Assigned papers and projects for Students’ presentations

1. Noa Braverman Forecasting epilepsy from the heart rate signal. Kerem & Geva 2005

2. Arie Shaus Identification of Diagnostic ERP Segments in Alzheimer. Benvenuto et al. 2002

3. Ilana Podinski Seizure prediction by non-linear time series analysis of brain electrical activity. CE Elger, K Lehnertz - European Journal of Neuroscience, 1998 - Blackwell Synergy

4. Zach Dvey Aharon A stochastic framework for evaluating seizure prediction alg. Wong et al 2007

5. Ofer Lavi Combining Brain Imaging with Microarray. Pierce & Small 2004.

6. Eran Pasternak Determination of language dominance using functional MRI: a comparison with the Wada test. Binder 1996.

7. Libi Belozerski DCM-principles. Dynamic causal models of neural system dynamics: current state and future extensions. Friston et al. 2007

8. Eti Ben Simon Results of the two alpha networks.

1. Intinsic functional architecture in the anaesthetized monkey / Fox ,Corbetta, Raichle

9. Keren Rosenberg Intracranial ERPs in humans.

1. Real-time functional brain mapping using electrocortciography

2. Miller …Ojeman. Neuroimage 2007

10. Yael Jacob Voxel based comparison. (Unpublished Data)

1. Beyond mind reading: multi-voxel pattern analysis of fMRI data

11. Moran Artzi Advanced imaging of brain tumor

1. DCE-MRI biomarkers in the clinical evaluation of antiangiogenic and vascular disrupting agents. O'Connor JP, Jackson A, Parker GJ, Jayson GC.

12. Neomi Zinger How to measure the effect of music in the brain

1. Music and the brain Weiser Annal of NY Academy of Science 2003

Music and emotion: electrophysiological correlates Sammler, Grigutsch, Fritz and Koelsch

Roee Admon Dynamics in emotion processing

1. Dynamics of visual information integration in the brain for categorizing facial expressions

2 Re-entrant projection modulate visual cortex in affective perception: evidence from granger causality analysis Keil, sabatinelli, ding, lang, ihssen and Heim HBM 2007

14. Assaf Razon Repetition and the brain: neural models of stimulus-specific effects. Grill-Spector et al. Trends in Cog Sci 2006

15. Hadas Zur Rhythm sequence through the olfactory bulb layers during the time window of a respiratory cycle. Buonviso et al. Eur. J. Neurosci. 17 (2003), pp. 1811–1819

16. Tomer Levinboim Epileptic Seizure Prediction Using Hybrid Feature Selection… D’Alessandro et al. 2003 IEEE BioMed.

17. Miki Rubinstein Small- world networks and epilepsy: Graph Theoretical Analysis… Pontena et al. Clincal Neurphysiol. 2007

Note: When there are two papers, please choose one of them.

Instructions regarding the presentations:

· Prepared using PowerPoint on a disk on Key or a laptop.

· 15-20 slides per presentation, about 15min length and 5 min for questions

· For a review paper presentation: General Framework of the problem, different approached for the solution, at least one detailed specific solution (you will need some info from papers referenced by the review paper). Your own conclusions and criticism about the paper

· For a non review paper: Review the problem presented in the paper, previous related work and the novel approach in the paper – What is the paper proposing to do, and how is it doing it. ). Your own conclusions and criticism about the paper

· Give the PowerPoint file a name which contains Seminar07_YOUR_FAMILIY_NAME.ppt and make sure the file arrives to Nathan either by email or on a disk on key

Tentative List of Presentations

Date	Location	Title	Speaker
Oct 24	TAU	Spontaneous Cortical States: From Sensory Perception and Motor Action to Decision Making	Amos Ariely
Nov 7	Ichilov	Measuring Symmetry in 3D objects	Dan Raviv
Nov 28	Ichilov	Functional Brain Imaging by Spatio-Temporal Pattern Recognition Methods	Amir Geva
Dec 5	Ichilov	perceptual bi-stability: a window to general principlesof neural processing?	Nava Rubin
Dec 19	Ichilov	Synchronization in Complex Systems	Stefano Boccaletti
Dec 26	Ichilov	Vision-based Tracking System for Head Motion Correction in fMRI Images	Tali Lerner/Rivlin
Jan 23	TAU	Models for movement kinematics: integration into brain research	Tamar Flash
Feb 6	TAU	False Discovery Rate (FDR) with applications to fMRI	Yoav Benjamini

	TAU	Andrei: functional classifiers of brain signals, Libi: DCM with fMRI Yael (Prof. Ben Yaakov): predicts handedness?	Students
	TAU	Students: 1+2 Ilana/ Eti –issues in bridging between eeg and fmri, 3. Michali: processing ambiguity, galit's student?	Students
	TAU	Alon (Hezy): estimating individual differences in functional imaging. Roee: issues in prospective imaging. Michal B: TMS /fm-how to combine?	Students
	TAU	Students: 1. Keren intraoperative stimulation and fmri-how to integrate? 2. Asaf, fmri in autism, 3. eran?/michal b	Students

Seminar location at Ichilov: Section 5 (Radiology/MRI) at the functional Brain Center, Basement

Seminar location at TAU: Schreiber 309 (School of Computer Science Building)

א. תלמידים:

תלמידי תארים מתקדמים (ללא הגבלה בין פקולטות)

סטודנטים המבצעים או מתענינים במחקר בהדמיה תפקודית של המוח

מספר מקומות מוגבל ל 20

ב. דרישות קדם:

מחקר הקשור בהדמיה מוחית ו/או שיחה עם המרצה

ג. מבנה הקורס:

סמינר בו ישתתפו גם מרצים אורחים

סמסטר א במתכונת של 2 ש"ס

מטלת הקורס לציון תהיה נוכחות וסמינריון בע"פ במהלך השנה (40-30 דקות).

בסמינריון הסטודנט יכול להציג את עבודתו הקשורה לנושא הסמינר או להציג סקירה בנושא קשור.

נוכחות בשיעורים - חובה

ד. נושאים בסמינר:

1. להציג מספר גישות חישוביות בהדמיה מוחית.

2. להביא לידיעת הסטודנטים יישומים מתקדמים של גישות חישוביות בחקר המוח.

3. להציג גישות לשילוב מדדים ביולוגים עם הדמיה מוחית (קצב לב, הולכה עורית, התנהגות וכדומה)

4. דוגמאות מהמחקר בתחום בארץ

הסמינר יערך אחת לשבוע, שבוע אחד באוניברסיטה ושבוע אחד במעבדה להדמיה תפקודית של המח במרכז הרפואי ע"ש סוראסקי.

Abstracts

Nov 06, 07 Dan Raviv 3D Measuring Symmetry in 3D objects

Symmetry and self-similarity is the cornerstone of Nature, exhibiting itself through the shapes of natural creations and omnipresent laws of physics. Since many natural objects are symmetric, the absence of symmetry can often be an indication of some anomaly or abnormal behavior. Therefore, detection of asymmetries is important in numerous practical applications, including crystallography, medical imaging, and face recognition, to mention a few. Conversely, the assumption of underlying shape symmetry can facilitate many problems in shape reconstruction and analysis. Traditionally, symmetries are described as extrinsic geometric properties of the shape. While being adequate for rigid shapes, such a description is inappropriate for non-rigid ones.

Extrinsic symmetry can be broken as a result of shape deformations, while its intrinsic symmetry is preserved. We pose the problem of finding intrinsic symmetries of non-rigid shapes and propose an efficient method for their computation.

*MSc. research under the supervision of Prof. Ron Kimmel *with collaboration of Dr. Alex M. Bronstein and Dr. Michael M. Bronstein

Dec 26, 07 Tali Lerner Vision-based Tracking System for Head Motion Correction in fMRI Images

The talk will present a new vision-based system for motion correction in functional-MRI experiments. fMRI is a popular technique for studying brain functionality by utilizing MRI technology. In an fMRI experiment a subject is required to perform a task while his brain is scanned by an MRI scanner. In order to achieve a high quality analysis the fMRI slices should be aligned. Hence, the subject is requested to avoid head movements during the entire experiment. However, due to the long duration of such experiments head motion is practically unavoidable. Most of the previous work in this field addresses this problem by extracting the head motion parameters from the acquired MRI data. Therefore, these studies are limited to relatively small movements and may confuse head motion with brain activities. In the present work the head movements are detected by a system comprised of two cameras that monitor a specially designed device worn on the subject’s head. The system does not depend on the acquired MRI data and therefore can overcome large head movements. Additionally, the system can be extended to cope with inter-block motion and can be integrated into the MRI scanner for real-time updates of the scan-planes. The performance of the proposed system was tested in a laboratory environment and in fMRI experiments. It was found that high accuracy is obtained even when facing large head movements.