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DOI

Runtime

FROM python:3.11

pip install -r requirements.txt

COPY notebooks/ data/

analysis.py · DOI

Code

import pandas as pd

import matplotlib.pyplot as plt

def fa_by_group(path):

df = pd.read_csv(path)

return df.groupby("group")["fa"].mean()

fa_by_group("data/fa.csv").plot.bar()

DOI

Data

subjectgroupagefa

sub-01ctrl640.53

sub-02A710.46

sub-03B680.40

sub-04ctrl590.55

sub-05B730.39

MyST

Prose

# Results

Anisotropy falls with age in both groups, and faster in group B.

:::{figure} #fig-fa

See the interactive version below.

Figure 1interactive

Figure 2interactive

Figure 3 by groupby age

Table 1

regionn mean FA change

Corpus callosum480.61-4.2%

Fornix480.44-7.9%

Cingulum470.52-2.1%

Corticospinal480.58+0.6%

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