For years, I've viewed functional neuroimaging (fMRI) studies as akin to modern phrenology. I've also noticed that the hype and frequency of 'sensational' findings from these studies seem to have diminished compared to 10 years ago.
After being inspired by Michael Nahm's 'insights' based on Adrian Owen's work with fMRI, I did some research and discovered an intriguing recent article on the topic:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960120/
Here's a few interesting bits:
I think the takeaway is that one needs to be very careful when drawing conclusions from fMRI.
The critical question is whether we will ever be able to develop noninvasive and safe tools for sampling neural activity that offer superior spatial and temporal resolution compared to current technologies. Without such advancements, I believe our understanding of the brain will remain limited.
After being inspired by Michael Nahm's 'insights' based on Adrian Owen's work with fMRI, I did some research and discovered an intriguing recent article on the topic:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960120/
Here's a few interesting bits:
Quote:Consequently, since fMRI entered the scene in the early 1990s, it had seen an enthusiastic phase over the first two decades. However, after this period, neuroimaging—like almost any other psychological and medical sciences—was overrun by the replication crisis. Recent studies have estimated the reproducibility of psychological studies to be 39% or less and indicated a severe limitation of neuroimaging (fMRI) study reliability (5–9). Furthermore, the neurophysiological mechanisms behind the BOLD/fMRI signal are only partly understood, which makes it difficult to generalise results or to use it on an individual level for diagnostic purposes.
Quote:Jointly, psychology and neuroimaging suffer substantially from a lack of statistical power, meaning that the sample sizes are typically too small, and effect sizes are too low
Quote:One of the major knowledge gaps in the field is the assumption that the fMRI signal, i.e., the underlying BOLD effect (BOLD = blood oxygenation level dependent), is sufficiently reliable and stable, where “sufficiently” has never been defined yet. It is of crucial importance to keep in mind that the BOLD signal represents only an indirect measure of neuronal activity, through a cascade of physiological processes, called neurovascular coupling.
Quote:However, it is less studied, how susceptible the BOLD signal is to endogenous and exogenous influences and individual variability of the underlying mechanisms. Hence, it might occur that a change in the BOLD signal is detected while the true neuronal activity and connectivity remains unchanged. It is known that hormones (like cortisol), blood pressures, body mass index, time of the day (circadian rhythm), time of the year, sleep duration, and age influence blood volume, blood flow, and other vascular parameter, and hence the BOLD signal (19–23). Whether the individual variability of these parameters has a significant influence on the BOLD signal is largely unknown.
Quote:In other words, the BOLD signal is most likely not stable within and not necessarily comparable between subjects. These factors are just additional sources of variability of the fMRI signal that comes in addition to all other sources of noise that are affecting the measurement, like other environmental factors, thermal noise, noise of the measurement system itself, movements of the subjects, daylight length, temperature, and whether, to name a few, that may affect brain functions but also the stability of the MR system
I think the takeaway is that one needs to be very careful when drawing conclusions from fMRI.
The critical question is whether we will ever be able to develop noninvasive and safe tools for sampling neural activity that offer superior spatial and temporal resolution compared to current technologies. Without such advancements, I believe our understanding of the brain will remain limited.