An overly-long and still non-comprehensive reading list for understanding #NIRS#muscleoxygenation in sport science! 🧵
1/15
Start with this concise opinion piece from Perrey on the emerging promise and future direction of NIRS research & application pubmed.ncbi.nlm.nih.gov/35321522/
2/15
Perrey & Ferrari's review on NIRS in the context of sport science gives background and is a great jumping off point for NIRS studies in your particular sport of interest pubmed.ncbi.nlm.nih.gov/29177977/
3/15
Barstow has a comprehensive overview of technically and biologically important aspects of NIRS, with recommendations for standardised methodology and nomenclature. This is a must read IMO for starting to understand the nuances of NIRS interpretation pubmed.ncbi.nlm.nih.gov/30844336/
4/15 @JanBoone2906 et al at Ghent University have published definitive experiments describing NIRS response profiles during incremental ramp testing. Start here to visualise how NIRS responds in an intensity-dependent manner pubmed.ncbi.nlm.nih.gov/27613650/
5/15 @MuriasLab et al at U of Calgary have also exhaustively investigated NIRS responses during exercise, characterising the deoxygenation breakpoint / HHb-plateau along with other threshold demarcations pubmed.ncbi.nlm.nih.gov/25606817/
6/15
There is a wonderfully productive ongoing debate on the association between NIRS and other physiological breakpoints pubmed.ncbi.nlm.nih.gov/29975303/
7/15
This debate has helped reveal operational limitations of how we use and think about 'thresholds'. To me, a critical aspect is the uncertainty inherent to any breakpoint detection method. Elegantly demonstrated by @KevinCaen@JanBoone2906 et al pubmed.ncbi.nlm.nih.gov/35435465/
8/15
Another exciting application of NIRS is for non-invasive measurement of mitochondrial function, introduced by Ryan, @InfraredRx, @harrybrossiter et al. This method is now widely used across clinical and sport applications pubmed.ncbi.nlm.nih.gov/28684592/
9/15
It's important to consider what *isn't* illuminated by NIRS. NIRS is hyper-local. There are critical spatial and (bio)mechanical effects to consider, such as deep vs superficial muscle heterogeneities pubmed.ncbi.nlm.nih.gov/26404619/
10/15
Vastus lateralis is the primary locomotor muscle studied in cycling. Rectus femoris in running. There are important modality- and quadricep head-specific recruitment & deoxygenation patterns pubmed.ncbi.nlm.nih.gov/28970805/
11/15
Consider NIRS responses of non-locomotor muscles during exercise such as bicep or deltoid, and what this might reveal in terms of systemic metabolic priorities pubmed.ncbi.nlm.nih.gov/20204819/
12/15
Adipose tissue thickness has large effects on NIRS signals. Especially consider differences in male & female subcutaneous fat distribution on quadriceps when interpreting locomotor NIRS signals pubmed.ncbi.nlm.nih.gov/28151429/
13/15
Consider how NIRS measurements at the microvasculature (capillaries) are *expected* to differ from classical experiments that measure at larger conduit vessels (e.g. femoral or brachial aa. & vv.) pubmed.ncbi.nlm.nih.gov/32940560/
14/15
We have to consider *mechanical effects* like isometric vs rhythmic (e.g. cadence) contractions, which change recruitment patterns and spatial distribution of tissue & fluid volumes into and out of the illuminated area pubmed.ncbi.nlm.nih.gov/27126859/
15/15
There are so many more applications & nuances to NIRS
Start with the reviews at the top of this thread and come back later for the more nuanced experiments toward the bottom
Dig through the citation trains of these papers to discover what else you might be interested in!
16/15
Or listen / watch me try a few times recently to articulate a story about oxygenation response profiles during incremental exercise testing, trying to keep all of these nuances straight 🥴
Here's a strange new study discussing doping and cyclist's iliac syndrome (FLIA/endofibrosis). I don't think I can take it literally, but I will take it seriously
Can doping increase risks in endofibrosis? Likely yes
Is FLIA/endofibrosis caused by doping? No
Let's discuss💭🧵👇
Although not entirely clear, and entirely un-cited, this sentence speculates on the mechanisms relating PEDs to exacerbated pathological remodelling of the iliac artery. This more or less conforms to my understanding of the risks of PEDs on peripheral vascular health 2/
Here is my wall-of-text summary of mechanisms from my thesis
More simply: endofibrosis develops in response to pathological shear stress from large blood flows during exercise through an artery being repeatedly compressed/kinked/bent/twisted with hip flexions (pedalling) 3/
We know quite well how quadriceps (VL) responds with cycling intensity, but there are fewer data in other muscles
We want to know how multiple muscles respond simultaneously, to gain insight into how local responses are aggregated into systemic responses 2/
We looked at reoxygenation after incremental cycling stages. Faster reoxy indicates faster recovery and better matching of muscle O2 delivery (mQO2) to O2 uptake (mVO2)
Analogous to post-exercise VO2 or HR recovery kinetics, for skeletal muscle 3/
A new review of flow limitations in the iliac arteries (FLIA) / endofibrosis 🩸🩸 in female athletes 🚴♀️ 🏃♀️
A quick summary and context 📚🧵👇
FLIA is a condition affecting endurance athletes where blood flow is limited by compression & kinking in the iliac arteries during exercise. The athlete is limited by gradually worsening pain & claudication in one or both legs
FLIA patients in the early literature were exclusively male. ~25% of recent cases are females. This increase is probably related to participation rates in elite sport, awareness, and resources to detect FLIA in female athletes
@SciTriat and I just chatted about training above or below threshold to improve V̇O₂max and performance, interpreting group-level research to individual-level application, and how much day-to-day variability to expect in common training metrics scientifictriathlon.com/tts420/
We talked about a few threads I recently posted
The first was about our recent meta analysis on training above vs below the maximal metabolic steady state effects on V̇O₂max and TT performance outcomes with Dr. Michael Rosenblat & @StephenSeiler
The second thread was me trying to figure out how to talk about and visualise uncertainty in estimating group-level outcomes (confidence intervals) vs predicting individual outcomes (prediction intervals)