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BIDS for systems neuroscience #2243

@just-meng

Description

@just-meng

Hi all,

@yarikoptic asked me to review a few issues (#1632, #2137, #162) and I thought it would be nice to tackle the challenge more systematically in a separate issue. Since I know very little about the existing BIDS, I don't aim to solve anything, but simply to contribute a point of view from someone who works in experimental neuroscience at systems level (right between the fMRI/EEG and molecular stuff, mostly animal research). It is a rapidly growing field within neuroscience, in particular, due to tool development (genetics, optics, probes etc.). There is no common standard yet in systems neuroscience as far as I know. So a lot to gain here!

Rationale

The current microscopy suffix table mixes optical physics mechanisms with data modalities and experimental context.

  • Terms like FLUO and 1P are non-discriminative in neuroscience (almost everything is fluorescence microscopy, and everything that is not 2-photon/3-photon is 1P).
  • Distinction between 2P and 3P is overgranular, multi-photon (MP) is fully sufficient here. Skip the E, since almost everything is excitation of fluorecence proteins.
  • Binary categories such as ephys and ophys is quite misleading. Strictly speaking, only voltage imaging is optical physiology. Every other method that does not record the membrane potential is not physiology. Calcium imaging could be considered ophys, but is not really commonly referred to as such. I bet most people from my field wouldn't know what is meant with ophys. I'd rather suggest electrophysiology and imaging/microscopy. It's a hard call between imaging and microscopy. I am aware of imaging data in my field that are non-optical (but acoustoptical, electron-microscopy, X-Ray, ultrasound etc.) or not with a microscopic resolution (e.g. mesoscopic). Choose imaging for all pixel-absed spatial acquisition, and choose microscopy if you want to include mainly optical microscopic data which IS the most abundant data type after ephys.
  • What is mostly missing, but matters a lot in systems neuroscience is whether the prep is in vivo (awake, anesthetized, freely-moving), ex vivo (fixed tissue, cleared brain slices, acute slice etc.), or in vitro (cell culture etc.). Although this axis is important for data sharing/discovery, it does not really matter for the data type. Although in vivo data are often accompanied by behavioural data and/or perturbation data.

Based on these considerations, I suggest organizing by scientifically meaningful axes:

  • What is measured (biological signal)
  • How it is acquired (acquisition technology)
  • In what context (biological preparation)

New Metadata Axes

Field Description Examples
measured_signal Biological signal being recorded calcium, voltage, hemodynamic, structural, metabolic, other
acquisition_method Imaging/acquisition mechanism see controlled vocab below
preparation_context Biological experimental context in_vivo_awake_head_fixed, ex_vivo_acute_slice, fixed_cleared, etc

These axes are orthogonal and avoid ambiguous categorization. They are not exhaustive.

Controlled Vocabulary: acquisition_tech

Category Term Notes
Multiphoton scanning multiphoton_scanning
Widefield epifluorescence widefield_epifluorescence Replaces FLUO
Mesoscopic widefield widefield_cortexscale Cortex-wide imaging
Miniscope / endoscopic miniscope_endoscopic Head-mounted 1P/2P
Light-sheet light_sheet SPIM, mesoSPIM
Confocal confocal Includes spinning disk
Super-resolution super_resolution
Electron microscopy electron_microscopy
X-ray tomography xray_tomography XPCT / µCT

Cheers!

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