Neurosalience

In this episode of NeuroSalience, Peter chats with Alex about connectomics, or the study of the brain’s networks of connections. We discuss Alex’s work leveraging the Allen Brain Atlas (https://portal.brain-map.org/) and fMRI to better understand the genetic basis of the network structure. He points out clear differences between network hubs and other network components, with hubs having important roles in resting state dynamics and in neurological disorders. We also discuss the ongoing challenge of removing physiological noise from the fMRI signal in the context of his new and powerful methods for dissecting it out. Last, we touch on the new iteration of the OHBM virtual platform that Alex was instrumental in developing.

In this episode, Peter Bandettini meets with Tom Nichols, Remi Gau and Jack Van Horn to discuss the motivation for a set of best reporting and analysis practices. This provides insight into how the COBIDAS (Committee on Best Practice in Data Analysis and Sharing) in OHBM was started. They talk about the reproducibility crisis in fMRI and how it is being addressed. They discuss how the culture of fMRI has changed from isolated scientists doing N=20 studies to a connected web of researchers collecting and contributing to fMRI databases of high quality data for the purpose of revealing ever more subtle information. Through this work, the field aims to achieve robust biomarkers that are clinically useful in diagnosing and treating diseases. They also discuss many of the issues and decisions made in analysis,  and how this may contribute to irreproducible results. Last, they consider the ongoing and future global efforts to increase data transparency to make fMRI a more effective tool.

In this episode Peter Bandettini meets Carolina Makowski, Michele Veldsman and Alex Fornito to discuss the OHBM Student–Postdoc special interest group (SIG), with particular emphasis on their mentoring scheme and meeting-related workshops. Carolina is a current member of the SIG and Michele previously served as its Chair, Alex has been an active mentor to several junior OHBM members over the years through this group. They discuss the mentorship program, the workshops at the meeting, what good mentorship is, and why it’s needed more than ever, as the stresses and demands of students and postdocs increases within an ever more demanding professional climate.

In this conversation, Peter Bandettini meets members of the BrainArt SIG to discuss its history from the NeuroBureau to its current formal SIG status. They discuss what brain art (or more generally science art) is, consider what the best features of brain art are and how, essentially, any scientist trying to convey the essence of their findings can be considered an artist. You’ll discover the planned competitions and directions of the BrainArt SIG. The discussion also considers why diversity in this SIG, the field of Brain Mapping, and science in general is so important.

In this conversation, we cover the history of the Brain Art SIG through

This week’s podcast is centered on physiologic fMRI. Generally, when people think of fMRI, they think of a way to map neuronal function, however there is so much information about neurovascular physiology in the signal. Many researchers who use fMRI may not realize all of the potentially untapped information—and confounds!—in the fMRI time series. Dr Jean Chen and Dr Molly Bright each run research groups that focus on this information in complementary ways. Both use physiologic manipulations and an array of acquisition methods to probe and characterize details of the hemodynamic response, though their two research programs focus on different aspects of the haemodynamic response function. In this podcast, they highlight the importance of physiologic fMRI for the field. They also consider the challenges facing women in male-dominated research fields and how the life of women scientists might be improved.

In this week’s podcast, you’ll hear about clinical applications of resting-state fMRI from Dr Michael Fox. You’ll hear some of the highlights of his research, from the beginnings at Wash U, including his early work on resting-state fMRI and the issue of global signal regression, to his more recent pioneering work on lesion network mapping. Through this, you’ll find out about how lesions can impact behavior through their effects on functional networks. This approach is a promising inroad of fMRI towards clinical utility.

Peter Bandetti talks to Catie Chang, who walks us through her thought process regarding pulling information out of the fMRI time series. After discussing some of the ongoing issues in fMRI, such as whether or not to use global signal regression to remove noise, she leads us into a commonly overlooked effect in fMRI—that of changes in arousal and vigilance. In particular, this has measurable effects on the resting state fMRI signal. She discusses the perspective that one person’s artifact may be another’s useful signal, depending on the goal of the study.

In this week's episode, Peter Bandettini talks to directly to MRI scanner vendors. Together, they try to reconcile the importance of fMRI in research contexts with the market pressures of developing clinical applications. As fMRI has virtually no clinical market, does it really influence vendor decisions on pulse sequences and hardware? Could more be done aside from making fMRI more clinically relevant? In this discussion, you’ll hear some fascinating history into the early days of echo planar imaging and high speed imaging, as well as insight into the processes by which products are prioritised. You’ll also find out a possible future of how fMRI may begin to become more clinically useful.

For our third episode, we bring you a birds-eye view of modeling messy biologic systems, namely the brain. Peter Bandettini talks to Danielle Bassett about the challenges of measurement accuracy and what scale might be most informative for modeling, including how to make do with what we have. From the clinical perspective, they talk about network control theory for modulating networks for therapy and discuss limitations in technology. They also talk about the limits of network modeling and the search for the equivalent of an idea as powerful as “natural selection” for the brain. In the second part of the podcast they discuss bias in science and what Danielle is doing to help increase transparency to combat this bias.