Steve Smith
banner
fmrib-steve.bsky.social
Steve Smith
@fmrib-steve.bsky.social
Brain imaging research, Oxford
EiC, Imaging Neuroscience https://bsky.app/profile/imagingneurosci.bsky.social
photo or it didn't happen !
:-)
November 17, 2025 at 2:57 PM
I would consider Aperture Neuro as the next choice?
October 22, 2025 at 2:46 PM
Hi Micah,

I.N. editors apply same "thresholds" as we *used to* at old journal, but average submissions have improved, so triage rates are lower than they used to be. At I.N. the breakdown is:

43% accept
18% reject resubmit
11% reject after review
29% triage (including 4% triage too-clinical)
October 22, 2025 at 2:39 PM
HI Maria - here are some *average* timings at Imaging Neuroscience (of course any individual paper will vary):

- 62 days from initial submission to first major revision decision

- Sending paper to production to final version appearing online: 16 days (includes author proofing time)
October 22, 2025 at 2:06 PM
I think your scanner's A2D scaling is set a little high :-)
September 7, 2025 at 7:56 AM
We had published a similar plot in the early UKB brain imaging paper from @fmrib-karla.bsky.social - so this is just a quick update on that. My how the y axis has grown up!

www.nature.com/articles/nn....
August 23, 2025 at 4:32 AM
Yes and maybe:

It's easy to screen them out (ignore those associations) given that all the non-brain-imaging variables are organised into nice categories.

One might also want to include body size variables as confounds, (though we do by default already use overall head size as a confound).
August 22, 2025 at 1:21 PM
How about if the journal inserts a hidden message into a paper sent for review, with instructions to the LLM to write a coded message in the review, so the journal can tell if LLM was used by the reviewer?
July 6, 2025 at 1:16 AM
Indeed - and apparently I'm only allowed to view the award from three pre-specified angles.
:-)
June 24, 2025 at 8:46 PM
It's *easier* than that - just publish in an OA journal that lets the author keep the copyright :-)
June 11, 2025 at 4:29 PM
YOU know what I meant :-)
June 5, 2025 at 12:36 AM
We present a method for disambiguating subject-varying aging rates from fixed baseline effects, in single-timepoint data.

If estimating a single brain age delta per subject, baseline effects dominate.

With multiple modes of brain aging, some modes do reflect aging rates varying across subjects.
May 29, 2025 at 5:24 AM
For those curious about how it works at IN: editors can't see their own papers in the reviewing system. So I don't even know who the Handling Editor was (or the reviewers) - but thanks to them all for helping improve the paper.
May 29, 2025 at 5:16 AM