Laboratory of Integrated Brain Imaging – Home for Laboratory of Integrated Brain Imaging

Neural network models of the brain
MRI, electrophysiology and neuromodulation are combined to study and regulate brain-stomach interactions.
Ultra-high-field MRI supports in vivo preclinical imaging studies for neuroscience and beyond.
Naturalistic stimuli support multimodal and multiscale characterization of brain functions.
Vision-language model supports flexible image search with text and image queries.
Deep neural networks decode brain scans and reconstruct visual experiences.

As part of the Department of Biomedical Engineering and the Electrical and Computer Engineering Division in the Department of Electrical Engineering and Computer Science at the University of Michigan, the Laboratory of Integrated Brain Imaging aims to accelerate neuroscience and artificial intelligence by developing novel tools to integrate neural imaging, recording, stimulation, and modeling.

Positions available for Ph.D. students or postdoctoral fellows.

(01/28/22) New results show that the vagus nerve mediates the coherence between stomach and brain.
(11/18/21) Collaborative research on using fMRI for Alzheimer’s Diseases funded by Precision Health.
(11/12/21) Ana Cecilia Saavedra Bazan joined the lab as a PhD student in Biomedical Engineering.
(11/12/21) Dr. Liu gave a talk about the brain and AI in Neural Networks Interdisciplinary Seminar.
(11/10/21) Cherry presented intrinsic gut-brain synchronization at the SfN annual meeting.
(11/10/21) Cherry presented orientation selectivity of gastric neurons in NTS at the SfN annual meeting.
(10/27/21) A collaborative paper shows the organization of the musculature in the rat stomach.
(10/11/21) Cherry reported orientation selectivity of gastric neurons in NTS on the Journal of Neural Engineering.
(10/01/21) Dr. Liu joined Data Analytics & Information Technology workgroup in U-M Precision Health.
(09/29/21) A collaborative paper shows the roles of beta, theta, and gamma oscillations in speech perception.
(09/28/21) Yizhen published visually grounded language models (with code released) in NeurIPS 2021.
(09/22/21) The Lab received an NIH R01 grant to develop MRI for gastroparesis.
(09/03/21) NIH research projects on interoception to improve understanding of brain-body function.
(09/01/21) The Lab received an NIH R01 award to use fMRI to study brain-stomach interactions with animal models.
(08/30/21) Amaya Murguia and Fatimah Alkaabi joined the lab as PhD students.
(08/25/21) The Lab received an NSF award to use predictive coding to develop biologically plausible vision models.
(08/13/21) Angela Yee joined the lab as an associate animal specialist. Welcome!
(08/05/21) Dr. Liu co-edited a special issue on Current Opinion in Biomedical Engineering.
(07/21/21) Jung-Hoon published VAE for representation learning of fMRI activity on NeuroImage.
(07/19/21) The Lab released the code and model for VAE-based representation learning of fMRI data.
(07/01/21) Ashley Cornett joined the lab as the new lab manager. Welcome!
(06/25/21) Yizhen Zhang passed her final defense for PhD in electrical and computer engineering. Congratulations.
(06/23/21) Cherry Cao passed her final defense for PhD in biomedical engineering. Congratulations.
(06/05/21) The Lab is recruiting an animal specialist.
(05/20/21) Jiayue Cao received Magna Cum Laude Award from ISMRM scientific meeting 2021.
(05/20/21) Xiaokai received Magna Cum Laude Award from ISMRM scientific meeting 2021.
(05/11/21) Yizhen published on Current Opinion in Biomedical Engineering.
(05/10/21) Dr. Liu gave a talk about gut-brain interactions in the U-M BME Symposium.
(02/23/21) Dr. Liu gave a talk about brain and AI in the U-M fMRI symposium.
(02/10/21) Jung-Hoon Kim passed his final defense for PhD on representation learning of fMRI. Congratulations.
(02/08/21) The Lab’s prior work on isolating 1/f-like neural activity featured by Quanta Magazine.