Evidence map›Paper›PMID 33430023›Full record

ReviewSensors (Basel, Switzerland)2021

Tablet Technology for Writing and Drawing during Functional Magnetic Resonance Imaging: A Review.

Zhongmin Lin, Fred Tam, Nathan W Churchill, Tom A Schweizer, Simon J Graham

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Zhongmin LinDepartment of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, ON M5G 1L7, Canada.ORCID 0000-0003-4110-4247
Fred TamPhysical Sciences, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada.
Nathan W ChurchillKeenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, ON M5B 1T8, Canada.
Tom A SchweizerKeenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, ON M5B 1T8, Canada.
Simon J GrahamDepartment of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, ON M5G 1L7, Canada.
St. Michael's Hospital · CASunnybrook Health Science Centre · CAUniversity of Toronto · CA

Funding

CIHR PJT 162241
6 · The paper itself

Abstract

Functional magnetic resonance imaging (fMRI) is a powerful modality to study brain activity. To approximate naturalistic writing and drawing behaviours inside the scanner, many fMRI-compatible tablet technologies have been developed. The digitizing feature of the tablets also allows examination of behavioural kinematics with greater detail than using paper. With enhanced ecological validity, tablet devices have advanced the fields of neuropsychological tests, neurosurgery, and neurolinguistics. Specifically, tablet devices have been used to adopt many traditional paper-based writing and drawing neuropsychological tests for fMRI. In functional neurosurgery, tablet technologies have enabled intra-operative brain mapping during awake craniotomy in brain tumour patients, as well as quantitative tremor assessment for treatment outcome monitoring. Tablet devices also play an important role in identifying the neural correlates of writing in the healthy and diseased brain. The fMRI-compatible tablets provide an excellent platform to support naturalistic motor responses and examine detailed behavioural kinematics.

Indexed as

computerized tabletdrawingessential tremorfMRIfMRI compatibilityfMRI equipmentfunctional neurosurgerykinematicsneuropsychological testswriting

Identifiers

PMID33430023
PMCPMC7826671
OpenAlexW3120297356

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.