{
  "annotation_id": "92e86a26-d6c4-4bc5-b988-196a28645c30",
  "date_created": "2026-03-02T18:01:14.403000Z",
  "date_modified": "2026-03-02T18:01:14.403000Z",
  "file_hash": "782b4471310ddf81164df6fbdcea5dbe1940d171ea9f285520faffab60ee13b0",
  "private": false,
  "record": {
    "abstract": "Magnetoencephalography (MEG) and magnetic resonance imaging at ultra-low\nfields (ULF MRI) are two methods based on the ability of SQUID (superconducting\nquantum interference device) sensors to detect femtotesla magnetic fields.\nCombination of these methods will allow simultaneous functional (MEG) and\nstructural (ULF MRI) imaging of the human brain. In this paper, we report the\nfirst implementation of a multi-sensor SQUID system designed for both MEG and\nULF MRI. We present a multi-channel image of a human hand obtained at 46\nmicrotesla field, as well as results of auditory MEG measurements with the new\nsystem.",
    "arxiv_id": "physics/0612048",
    "authors": [
      "V. S. Zotev",
      "A. N. Matlachov",
      "P. L. Volegov",
      "H. J. Sandin",
      "M. A. Espy",
      "J. C. Mosher",
      "A. V. Urbaitis",
      "S. G. Newman",
      "R. H. Kraus Jr"
    ],
    "categories": [
      "physics.med-ph",
      "physics.ins-det"
    ],
    "doi": "10.1016/j.ics.2007.01.050",
    "journal_ref": "Int.Congress Ser.1300:631-634,2007",
    "title": "Multi-sensor system for simultaneous ultra-low-field MRI and MEG",
    "url": "https://arxiv.org/abs/physics/0612048"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "697bfd69-fa71-4e0f-92e6-73b92de24773",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}