Author: Elisa Medeiros

BIRC’s response to the Coronavirus Outbreak Update #5 3-16-20

A quick update to you all. 

RESEARCH SCANS
We are currently technically open. But we do not have any research scans until the weekend (and they are non-EEG) and will likely close as soon as we get guidance from VPR. They are in discussions and will propose recommendations to the President this afternoon. We are urging the university to stop all non-critical/essential research that does not impact human health ASAP. We should have updates before any further research scans are done.

CLINICAL SCANS
We are in discussions with UCHC Radiology to stop clinical MRI as well as they are non-priority scans.

OTHER ACTIVITIES
We remain open virtually for any consultations or training that can be done remotely. We will suspend in person MRI safety training until further notice. LMK if this impacts your research plans.

Please do not come in to use the conference rooms or data room unless necessary. While we have staff telecommute, we will not be disinfecting the areas as we had originally planned and was doing last week. If you do need to come in to BIRC, please contact me.

Thank you,
Fumiko

BIRC’s response to the Coronavirus Outbreak Update #4 3-13-20

At this time BIRC will continue to be fully operational. Any scheduled research will not be impacted, and investigators can schedule additional research times as needed.

Please note that we will be complying with the University’s request to have staff and faculty telecommute when possible and may not be in the facility during normal business hours; however, please feel free to email any questions to Fumiko Hoeft, Roeland Hancock, or Elisa Medeiros.

MRI Scanner Operation Training for Qualified Candidates


The Brain Imaging Research Center now offers qualified candidates the opportunity to learn how to operate the Siemens Prisma 3T MRI Scanner to perform brain research studies. This training will consist of three components:
Didactic – All candidates will be required to attend a two-hour class about MRI safety tailored to issues that can be encountered during data acquisition. This training will include: Preventing radiofrequency (RF) burns; working with Specific Absorption Rates (SAR); proper participant preparation; quench emergency procedures. Note: a basic knowledge of MRI physics is necessary for this class.
Instrumentation – All candidates will be required to attend a two-hour class to learn basic scanner operation, including: User platform orientation (Syngo VE11C); coil selection and handling; participant positioning; BOLD screen operation; Eye Link operation; response box selection and operation; image transfer to NiDB or XNAT; basictroubleshooting.
Scanner Operation – All candidates will be required to successfully complete a minimum of twenty research scan sessions that include fMRI (BOLD) imaging, structural sequences, and DTI (diffusion tensor imaging) with direct supervision by an MRI Technologist. Scanning studies currently active at BIRC may complete this requirement. Additional scan sessions may be required at the discretion of the supervising technologist.
After successful completion of the above training, the candidate will be allowed to scan his or her own studies without direct supervision. Note: An MRI technologist must be in the facility for all scan sessions.
Candidates must maintain their status by completing a minimum of one study per month. Failure to do so will require a minimum of two directly supervised scan sessions per missed month.
Training is expected to begin the week of October 28 2019, allowing the candidate to be prepared to scan his or her own study during the spring semester.
Qualified candidate prerequisites:
      • Post doc with a commitment to remain for a minimum of one year (must be endorsed by PI)
      • Graduate student who has completed their Masters degree and must be endorsed by PI
      • Formal knowledge of basic MRI physics
      • Completion of Level 1 and Level 2 Safety Training
      • CPR certified (must provide documentation prior to scanning humans)

Online classes available at redcross.org/take-a-class/online-safety-classes

Interested candidates can apply for this training opportunity by providing the following information and documentation:
      • PI name, duration of contract, and written endorsement
      • Proof of formal basic MRI physics education
      • Any previous MRI experience
      • Study name, projected start date, and expected number of participants
Important dates:
      • Application submission: October 7-October 18 2019
      • Candidate acceptance notification: October 25 2019
      • Didactic and Instrumentation training: November 2019 (dates TBD)
      • Scanner Operation: November 2019 until completed
Please send the requested information to:
 

Elisa Medeiros, R.T.(R)(CT)(MR)
MRSO (MRSC™)
Manager, MRI Services
University of Connecticut
Brain Imaging Research Center
2 Alethia Drive Unit 1271
Storrs CT 06269-1271

Talk: Dr. James V. Haxby, Dartmouth College

James V. Haxby, PhD

Dartmouth College

Distinguished Speaker

Wednesday, February 20 2019 3:30-5:00PM Bousfield A106

Abstract: Multivariate pattern analysis (MVPA) has revealed that information is encoded in finegrained patterns of cortical activity that can be measured with fMRI. Study of cortical functional connectivity also has revealed fine-grained topographies in the connectome that are closely related to these patterns of activity. The surface structure of functional cortical topographies, however, allows considerable variability across brains for encoding the same information. We introduced a new conceptual framework with computational algorithms that make it possible to model the shared information that is encoded in fine-grained functional topographies that vary across brains. This framework, “hyperalignment”, models shared information as a high-dimensional information space, rather than attempting to model a shared or canonical topographic structure in the physical space of cortical anatomy. Hyperalignment is based on computational algorithms that discover this space and calculate transformations that project individually-variable patterns of neural activity and connectivity into the common model information space.

Research Focus: My current research focuses on the development of computational methods for building models of representational spaces. We assume that distributed population responses encode information. Within a cortical field, a broad range of stimuli or cognitive states can be represented as different patterns of response. We use fMRI to measure these patterns of response and multivariate pattern (MVP) analysis to decode their meaning. We are currently developing methods that make it possible to decode an individual’s brain data using MVP classifiers that are based on other subjects’ data. We use a complex, natural stimulus to sample a broad range of brain representational states as a basis for building high-dimensional models of representational spaces within cortical fields. These models are based on response tuning functions that are common across subjects. Initially, we demonstrated the validity of such a model in ventral temporal cortex. We are working on building similar models in other visual areas and in auditory areas. We also plan to investigate representation of social cognition using this same conceptual framework.

 

Visitors from UCHC are encouraged to use the UCHC-Storrs shuttle service. Talks can also be joined remotely. Please contact us if you are interested in meeting with the speaker.

 

UConn BIRC Trailblazer Award Announced

Issue Date

December 19, 2018

Background

Since the opening of the University of Connecticut (UConn) Brain Imaging Research Center (BIRC) in June 2015, there has been an increase and diversification of user-base, neuroimaging-related extramural grants, and neuroimaging expertise of students and faculty. However, there is still room for greater utilization of BIRC, which presents opportunities for BIRC to offer the resources to perform high-profile and neuroimaging-intensive research that other fully occupied imaging centers cannot offer.

Objective

The BIRC Trailblazer Award was created to allow research teams to perform cutting-edge research and/or perform research that will benefit the BIRC community at-large. The objective of the 2019 BIRC Trailblazer Award is to fund: (1) high-risk high-reward projects with exceptional innovation that lead to raising the visibility of UConn, College of Liberal Arts and Sciences (CLAS) and BIRC; and/or (2) projects that will benefit the BIRC community at-large (e.g. methods development). The project is intended to lead to high-profile peer-review publications, release of a public database, and/or work that is cited and utilized by large-number of UConn researchers in their grants and manuscripts. The project should also lead to large-scale and high-profile extramural grant applications shortly after the end of the funding period.

 

Talk: Clinical Translation of Resting State Networks

Susan Whitfield-Gabrieli, PhD

Northeastern University and MIT

Distinguished Speaker

Wednesday, January 30 2019 3:30-5:00PM Bousfield A106

Abstract: Psychiatric neuroimaging has been based primarily on group inferences, but this research has not fundamentally altered patient diagnosis or treatment. The future quality of healthcare in psychiatry will benefit from a timely translation of basic research findings into more effective and efficient patient care. I will describe ways in which the intrinsic functional architecture of the human brain, as elucidated by resting state networks (RSNs), can provide neuro-markers supporting 1) early identification of individuals at risk for mental health difficulties, so that perventive treatment can reduce or even avert future difficulties, 2) neuroprediction, aimed at personalized or precision medicine targeted for selection of an optimal treatment program, and 3) cutting-edge, noninvasive, behavioral interventions such as mindfulness based real-time fMRI neurofeedback, used to augment current available treatments and limit the progression of psychiatric disorders.

Bio: Susan Whitfield-Gabrieli is a Professor of Psychology and Founding Director of the Interdisciplinary Science and Engineering Complex (ISEC) Imaging Center at Northeastern University with affiliation also at the McGovern Institute for Brain Research at MIT. Her primary mission is to understand the brain basis of psychiatric disorders and to promote the translation of this knowledge into clinical practice. Towards this end, she employs multimodal neuroimaging techniques to investigate the pathophysiology of psychiatric and neurodevelopmental disorders such as schizophrenia, depression, bipolar disorder, ADHD, autism, and dyslexia. Her goals are to discover biomarkers for improved diagnosis, early detection (potentiating early intervention and possibly prevention), prediction of the therapeutic response (targeted towards precision medicine), and development of novel therapeutic techniques (e.g., real-time fMRI neurofeedback) with the hope of improving (or augmenting) currently available treatments. A secondary goal of her research is to develop functional imaging analysis tools to share with clinicians and the neuroimaging community at large.

Visitors from UCHC are encouraged to use the UCHC-Storrs shuttle service. Talks can also be joined remotely. Please contact us if you are interested in meeting with the speaker.

 

Clinical MRI scans now being offered at BIRC

UConn Health Patients Can Now Get MRIs at UConn in Storrs

MRI service manager Elisa Medeiros prepares a patient for functional MRI testing at the BIRC in the Phillips Communication Sciences Building. (Peter Morenus/UConn Photo)

UConn Health patients in eastern Connecticut will now be able to get MRI scans done in Storrs just as if they were at UConn Health in Farmington, thanks to a collaboration between doctors and researchers at the two campuses.

UConn’s Brain Imaging Research Center (BIRC) houses a powerful 3 Tesla Magnetic Resonance Imaging (MRI) scanner that was installed in 2015 and originally dedicated purely to research. The BIRC’s machine can take detailed pictures of fine structures in the brain. It can also do functional MRI, which shows subtle changes in blood flow in the brain as a person thinks. Medical details – tiny flecks of blood that might signal a concussion, or small injuries to the spine or extremities – also show up beautifully on the scanner. But the state had not previously licensed the BIRC’s machine to perform medical work. Doctors at UConn Health and researchers at the BIRC thought that should change.

“Soon after I started as chair, it became clear we had a long history of our UConn Husky athletes having scans done on the outside. But then their docs would bring the scans to us for a second read because they trusted us,” says Dr. Leo Wolansky, head of radiology at UConn Health. “It’s our moral obligation to take care of our own people,” but it was a lot of unpaid work too, he observes. Other patients in eastern Connecticut, including students, staff, and faculty, who wanted to use UConn Health doctors but worked and lived near Storrs also found it inconvenient to drive to Farmington for a scan. That meant a lot of UConn money leaving the institution, Wolansky adds, an undesirable phenomenon known as “leakage.”

So he began working with former BIRC scientific directors Inge-Marie Eigsti and Jay Rueckl, and more recently BIRC director Fumiko Hoeft, along with regulatory and business development staff at UConn Health, to get permission from the state to use the center’s machine for medical imaging. Then, with the help of UConn Health MRI technologist Brian Hausner, MRI service manager Elisa Medeiros installed protocols to run clinical scans. The picture archiving communication system team at UConn Health oversaw the setup of the hardware needed to transmit medical data securely from the BIRC, which is located in the Phillips Communication Sciences Building in Storrs, to UConn Health in Farmington.

It took months of work, but on Nov. 7, the BIRC scanned Clinical MRI Patient #1. The term “Clinical MRI Patient #1” had a double meaning. It referred to the first clinical scan chronologically, but it was also a HIPAA-compliant way to refer to the top executive at UConn, President Herbst, who agreed to be the “test case.” She has given permission to publish this information, and wants everyone to know she’s fine.

“The President’s support of the project was critical,” says Wolansky.

UConn Health doctors can now schedule MRIs for their patients at the BIRC in Storrs for Monday and Wednesday afternoons as easily as if they were going to the imaging center in Farmington. Urgent scans can be squeezed in at other times on a case-by-case basis. The BIRC capacity will free up some space at UConn Health, bringing new patients into the system, and is not expected to impact research done at the center at all.

“The biggest benefit is the integration between campuses. It’s a huge success for us to do this,” says Hoeft, the director of BIRC, noting that revenue from the scans will enhance the financial stability of the center.

Wolansky, who is based in Farmington, agrees. UConn’s Farmington and Storrs campuses function largely independently from one another, so this collaboration is based on goodwill, he says.

“They are UConn and we are UConn,” he adds. “Even though [patients] may be 40 minutes away by car, when we read the scans [at the imaging center in Farmington], it’s no different than if the patients were down the hall!”

This story was originally published in UConn Today