1/ #LBBB generates often a classical pattern on #EchoFirst. The pattern is very distinctive in Tissue Doppler of the septum.

The classical pattern arises from the time lapse of the activation and relaxation of the two walls, creating a pattern of interaction due to a sequence temporal imbalances of the tension between the two walls.
2/ As the septum is activated first, it contracts (shortening - septal flash) without activation of the lateral wall, which stretches. This generates slower pressure build up than a normal IVC, which then is prolonged.
3/ During ejection, the LV volume decreases, so both walls shorten. Tension, however, declines first in the septum, as this was activated first. This leads to a tension imbalance, so the lateral wall continues to shorten, the more relaxed septum stretches.
4/ The stretching of the septum builds up an elastic tension in the septum, which is released as recoil, when tension declines in the lateral wall, showing a post systolic shortening in the septum which is due to elasticity.
5/ This classical pattern is also very evident in the strain curves, and an integrated strain analysis will show this, in a semi quantitative way describing how work is wasted by looking at the opposing wall. https://t.co/8DS2F1S0BW
6/ This classical interaction pattern explains all changes seen in apical velocities (apical rocking), basal velocity curves, strain and strain rate.
7/ Applying estimated LV pressure do not add information, simply because the pressure curve is the same for both walls, so the different strain-pressure loops arises from plotting different strain curves against the same pressure curve, the differences lie in the strain.
This is the CLASSICAL pattern. This is dependent on a normally functioning lateral wall (except for the delay) https://t.co/fQ83cMGI3k
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More from Science

It was great to talk about reproducible workflows for @riotscienceclub @riotscience_wlv. You can watch the recording below, but if you don't want to listen to me talk for 40 minutes, I thought I would summarise my talk in a thread:


My inspiration was making open science accessible. I wanted to outline the mistakes I've made along the way so people would feel empowered to give it a go. Increased accountability is seen as a barrier to adopting open science practices as an ECR

It also comes across as all or nothing. You are either fully open science or your research won't get anywhere. However, that can be quite intimidating, so I wanted to emphasise this incremental approach to adapting your workflow

There are two sides to why you should work towards reproducibility. The first is communal. It's going to help the field if you or someone else can reproduce your whole pipeline.


There is also the selfish element of it's just going to help you do your work. If you can't remember what your work means after a lunch break, you're not going to remember months or years down the line
This is a thread on statistics in science: 1/7 (via @LogicofScience)

Basic Statistics Part 1: The Law of Large Numbers https://t.co/wUH8eAAIak

#Science #Statistics


Basic Statistics Part 2: Correlation vs. Causation

https://t.co/Azhyl8pDsX (2/7)

Basic Statistics Part 3: The Dangers of Large Data Sets: A Tale of P values, Error Rates, and Bonferroni Corrections

https://t.co/LetN6aEBRM (3/7)

Basic statistics part 4: understanding P values

https://t.co/K8MMMgTCOf (4/7)

Basic Statistics Part 5: Means vs Medians, Is the “Average”

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