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CIBM Annual Symposium 2024

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The CIBM Annual Symposium 2024 and 20th Anniversary celebration will take place on November 7th, 2024 at the Rolex Learning Center, EPFL, Lausanne , Switzerland. The annual event aims to gather members of the biomedical imaging community in Switzerland and beyond allowing them to exchange during an exciting and intellectually stimulating day filled with insightful talks and poster presentations.

Join us in Celebrating 20 years of excellence

REGISTRATION
POSTERS SUBMISSION

PROGRAMME

8:30  –  Registration
9:00  –  Welcome and Opening

Pina Marziliano

CIBM

9:15 –  Towards Increased Precision, Interpretability, and Impact: The Future of fMRI

ABSTRACT

Since its inception over 30 years ago, fMRI has catalyzed neuroscience research, showing a steady progression in precision, interpretability, and applicability due to improvements in acquisition and processing methods, as well as increased integration with other modalities that have helped establish the relationship between the fMRI signal and other measures, including behavior. In this lecture, I will first present a perspective of fMRI, highlighting its most significant advances and impact on neuroscience. I will then present work from my lab highlighting our approaches to advancing spatial and temporal precision and interpretability. I will highlight several of our studies showing a) whole-brain, ultra-high resolution, cortical depth resolved fMRI, b) insights into resting state fluctuations, c) approaches to increasing temporal precision of fMRI. Finally, I will speculate on the potential future impact of fMRI, highlighting current directions.

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Peter Bandettini

Peter Bandettini

NIMH

BIO

Peter Bandettini has been active in the development of fMRI for over the last 30 years. He is Chief of the Section on Functional Imaging Methods and Director of the Functional MRI Facility at the National Institutes of Health in Bethesda, Maryland. Peter continues to advance fMRI methods, examining such topics as the sources of functional contrast and noise in BOLD, resting-state fluctuations and connectivity, and layer-dependent activity, publishing over 200 papers which have been cited over 50,000 times. He was the recipient of the Organization for Human Brain Mapping Young Investigator Award in 2002 and of the International Society for Magnetic Resonance in Medicine's Gold Medal in 2020. He recently completed a 6 year tenure as Editor In Chief of the Journal, NeuroImage, and in 2006, served as president of the Organization for Human Brain Mapping. Currently, he is host of a podcast through the Organization for Human Brain Mapping, called “Neurosalience," which is in its fifth season.

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10:00   Coffee Break: Posters and Demos (Researchers + PhD students + Collaborators + Exhibitor)

11:00  –  Exploring Parallel-Transmit (pTx) MRI applications with multi-nuclei RF coil design, multi-modal imaging and RF safety for implanted electrodes 

ABSTRACT

The talk will address the stages of RF coil design from conceptualization into prototyping and finally validation concepts covering imaging of multiple nuclei in human body. The examples will cover some of 7T MRI RF coil array prototypes she worked on so far. Then, it will raise some solutions for simultaneous scalp electroencephalogram (EEG)-MRI at 7T to record good quality EEG data and MRI image. At 7T, parallel-transmit (pTx) is required to extend the field -of-view of the image with better homogeneity and efficiency. In addition, pTx allows steering of RF amplitude and phase of the signal by independently controllable RF coils and to design excitations that induce minimal RF currents in surrounded or implanted conductors in tissues. The investigations of the RF current mitigation methods on implants with pTx will be shown for clinical MRI scanners.

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Ozlem Ipek

King’s College London

BIO

Özlem Ipek is an Associate Professor at the School of Biomedical Engineering and Imaging Sciences at King’s College London and head of Radio frequency (RF) Lab London. After completing physics at METU in Turkey and applied physics degree Eindhoven University of Technology, she received her PhD degree in 2014 from Utrecht University, Netherlands. She was a scientist and managing director of the RF lab at CIBM, EPFL, Switzerland before moving to KCL in November, 2018. Her research focus is developing, designing and prototyping MRI hardware for 7 Tesla MRI scanner and clinical MRI scanners for body and neuro imaging. She has over fifteen years of experience on 7 Tesla MRI parallel-transmit RF technology and MRI safety management. She is also active in international and European MRI societies. She served as a chair of Early Career Researchers’ Committee of ESMRMB, membership, marketing and media officer of ESMRMB, safety table chair in the ISMRM Education Committee and Annual Meeting Program Committee of ISMRM. Currently she is the Treasurer of ESMRMB, member of ESMRMB Executive Board, member of the ISMRM Safety and Young Investigator Awards Committees. She serves as reviewer and expert panel member of UKRI and EU Horizon program.

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11:30  –  Treatment planning and disease subtyping with imaging for precision medicine

ABSTRACT

Precision medicine approaches aim to improve patient care by focusing therapies on specific subgroups of patients. They rely on precise characterisation of patients and disease by using different technologies, including genomic analysis and imaging. Within the imaging context, precision medicine leads to ever-increasing demand for imaging procedures, improved image quality, and types of images. While patient outcomes can be measurably improved, the richness of the data also comes with heavier workloads for medical professionals. Automation approaches, mainly based on classical and deep machine learning, have emerged as a potential solution to this data deluge. The first part of the talk will focus on acute stroke, showing how imaging protocol changes can affect critical estimates of infarct volume obtained with clinical standard approaches, and potentially lead to different treatment options with severe consequences. Robustness of deep learning models for the same task will be discussed. The second part of the talk will focus on subtying of heart failure patients, and how imaging genetics of cardiac function measured through MRI offers a promising way to uncover disease pathways and potential drug targets.

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Jonas Richiardi

CHUV-UNIL

BIO

Jonas Richiardi is a Principal Investigator and Senior Lecturer at the Department of Radiology, Lausanne University Hospital, Switzerland, and heads the Translational Machine Learning Laboratory. He is also the section head for the CIBM's Imaging for Precision Medicine section, Data Science module. His research interests include modelling and inference for complex multimodal biological data, in particular magnetic resonance imaging data and its combination with -omics data.

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12:00  –  Computational diffusion MRI for microstructure imaging

ABSTRACT

Magnetic Resonance (MR) imaging is the gold standard for both functional and structural studies of the human brain. Diffusion MR imaging enables the measurement of water diffusion properties in each voxel of a volume, making it highly sensitive to the characteristics of the underlying tissue. Diffusion-based microstructural imaging aims to estimate tissue microstructural properties, such as cell size and density, by analyzing the diffusion MR signal from each voxel. In this presentation, we will introduce the computational framework we have developed to estimate tissue microstructural properties from diffusion MRI data. This framework encompasses signal modeling, diffusion MRI protocol design, in-silico realistic diffusion simulations, and inverse model estimation. Applications in brain imaging and oncology will also be discussed.

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Jean-Philippe Thiran

Jean-Philippe Thiran

EPFL UNIL CHUV

BIO

Jean-Philippe Thiran received his Electrical Engineering degree and PhD from the Université catholique de Louvain (UCL), Louvain-la-Neuve, Belgium, in 1993 and 1997, respectively. He joined EPFL in February 1998 as a senior lecturer and has been a Full Professor since 2020. He also holds a 20% position as an Associate Professor ad personam in the Department of Radiology at UNIL-CHUV. Currently, he serves as the Director of EPFL’s Institute of Electrical and Micro Engineering and is a section head at the CIBM. Prof. Thiran’s current research interests include computational medical imaging, computer vision, and machine learning.

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12:30   Lunch Break: Posters and Demos (Researchers + PhD students + Collaborators + Exhibitor)

14:00  –  Translational Neuromodeling, Computational Psychiatry and Computational Psychosomatics

ABSTRACT

For many brain diseases, particularly in psychiatry and psychosomatic medicine, we lack clinical tests for detecting individual disease mechanisms and cannot predict optimal treatment for individual patients. Over the last two decades, computational approaches to addressing these problems have gained traction. In this presentation, I summarise work that spans (i) the construction of computational theories of mental disorders, (ii) the development of computational assays for neuroimaging and behavioural data that target mechanisms proposed by these theories, and (iii) the application to concrete clinical problems.

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KlaasEnnoStephan

Klaas Enno Stephan

ETHZ

BIO

Klaas Enno Stephan is a computational neuroscientist and medical doctor. He is Full Professor and holds the Chair of Translational Neuromodeling & Computation Psychiatry at the University of Zurich and ETH Zurich. Klaas founded the Translational Neuromodeling Unit (TNU) at Zurich, an interdisciplinary institution with the mission to translate advances in computational neuroscience into diagnostic and prognostic tools for clinical practice.

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14:30 –  Brain networks and multimodality: building on 100 years of EEG

ABSTRACT

EEG is a versatile technique, that allows recording brain activity non-invasively in a wide range of contexts: from well controlled lab conditions, including freely moving subjects, to hospital bedsides including in intensive care and surgical theaters. Intracranial EEG offer sensitive and specific recordings of brain activity, from cortical patches to single neurons. Multimodal and multiscale recordings or post-processing combination allow to investigate complex relationships between single neurons and scalp signals as well as brain structure and function. This talk will highlight some recent methodological developments and applications and present some perspectives and challenges for the integration of these advances into clinical practice.

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SergeVuillemoz

Serge Vulliémoz

HUG-UNIGE

BIO

Serge Vulliemoz, MD, PhD, is a clinical neurophysiologist and consultant in neurology and epilepsy at the University Hospitals of Geneva, Switzerland. The research of his Epilepsy and Brain Network Lab focuses on EEG-based brain mapping methodology with application to epileptic activity. His research methods include multimodal combinations of high-density EEG, simultaneous EEG-fMRI and simultaneous scalp and intracranial recordings with analyses based on source imaging and functional connectivity. He is deeply involved in teaching and certification at national level as well as healthcare sustainability.

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15:00  –  Neurometabolic links between anxiety and motivation

ABSTRACT

The interplay between brain mitochondria and metabolism and, on the other hand, the regulation of anxiety and motivation represents a cutting-edge frontier in psychiatric neuroscience, challenging the conventional understanding of the etiology and management of these intricate emotional disorders. Emphasizing corticostriatal pathways, this talk aims to uncover the intricate relationships between mitochondria, metabolism, and neural circuitry in modulating behaviors associated with anxiety and depression (i.e., low motivation). Through diverse experimental approaches in both rodent models and human studies employing magnetic resonance spectroscopy (MRS) and functional magnetic resonance imaging (fMRI), our research sheds light on novel pathways and mechanisms underlying the pathophysiology of these conditions, highlighting potential targets for therapeutic intervention. Specifically, our findings reveal the significant role of mitochondrial function and metabolism across the nucleus accumbens and the dorsomedial prefrontal cortex/dorsal anterior cingulate (dmPFC/dACC). Additionally, we explore the impact of key hormonal systems on the functioning of the nucleus accumbens and motivated behavior, elucidating anxiety-related differences. Our work uncovers novel insights into the pathophysiology of anxiety and depression, paving the way for innovative therapeutic strategies.

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CarmenSandi

Carmen Sandi

EPFL

BIO

Carmen Sandi is a Professor at the Swiss Federal Institute of Technology Lausanne (EPFL), where she leads pioneering research on how brain function regulates behavior, with a focus on stress, motivation, social behaviors, and cognition. Her holistic approach highlights the critical role of brain mitochondria and metabolism, integrating body-brain interactions through studies involving both rodents and humans. Carmen earned her PhD in neuroscience at the Cajal Institute in Madrid followed by postdocs in France and the UK. She was recruited to EPFL in 2003 and served as Scientific Director of EPFL’s Brain Mind Institute from 2012 to 2019. She serves on numerous editorial and academic boards and, throughout her career, she has held leadership roles, including President of the European Brain and Behavior Society (EBBS) and the Federation of European Neuroscience Societies (FENS). She has founded and led several scientific networks, including the ALBA Network and the Global Stress and Resilience Network.

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15:30   Coffee Break: Posters and Demos (Researchers  + PhD students + Collaborators + Exhibitors)

16:00   Celebrating 20 years of excellence

17:30   Cocktail and networking reception

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Date

07 Nov 2024

Time

All Day

Location

Forum Rolex Learning Center, EPFL, Lausanne Switzerland
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