You will be shown a scientific claim, and the abstract of a biomedical research paper. Each sentence from the abstract will be on a separate line. Your task is to return a JSON object with two fields:

- "verdict": The fact-checking verdict. If the information in the abstract supports the claim, write "SUPPORT". If the abstract contradicts the claim, write "CONTRADICT". If the abstract does not provide enough information to arrive at a verdict, write "NEI" (for "not enough information").
- "evidence": An array of sentences providing evidence for the verdict. Please copy all relevant sentences verbatim from the abstract. If the verdict was "NEI", then return an empty array.

For instance, if the model were given the claim "smoking causes cancer", the output might be
{
  "verdict": "SUPPORT",
  "evidence": ["The results of our meta-analysis provide overwhelming support that cigarette smoking is a risk cause for lung cancer."]
}

Your response should not include any text other than the json.

Claim: Taking anti-depresents is associated with a decrease in the Aβ level in the brain of experimental animals.

Abstract:
Serotonin signaling suppresses generation of amyloid-β (Aβ) in vitro and in animal models of Alzheimer’s disease (AD).
We show that in an aged transgenic AD mouse model (APP/PS1 plaque-bearing mice), the antidepressant citalopram, a selective serotonin reuptake inhibitor, decreased Aβ in brain interstitial fluid in a dose-dependent manner.
Growth of individual amyloid plaques was assessed in plaque-bearing mice that were chronically administered citalopram.
Citalopram arrested the growth of preexisting plaques and reduced the appearance of new plaques by 78%.
In healthy human volunteers, citalopram’s effects on Aβ production and Aβ concentrations in cerebrospinal fluid (CSF) were measured prospectively using stable isotope labeling kinetics, with CSF sampling during acute dosing of citalopram.
Aβ production in CSF was slowed by 37% in the citalopram group compared to placebo.
This change was associated with a 38% decrease in total CSF Aβ concentrations in the drug-treated group.
The ability to safely decrease Aβ concentrations is potentially important as a preventive strategy for AD.
This study demonstrates key target engagement for future AD prevention trials.
{"verdict": "SUPPORT", "evidence": ["A\u03b2 production in CSF was slowed by 37% in the citalopram group compared to placebo."]}