The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Functional magnetic resonance imaging of human brain activity in a verbal fluency task
Open accessAbstract
OBJECTIVES: Functional MRI (fMRI) holds the promise of non-invasive mapping of human brain function in both health and disease. Yet its sensitivity and reliability for mapping higher cognitive function are still being determined. Using verbal fluency as a task, the objective was to ascertain the consistency of fMRI on a conventional scanner for determining the anatomic substrate of language between subjects and between sexes. Comparison was made with previous PET studies. METHODS: Using a 1.5 Tesla magnet and an echoplanar pulse sequence, whole brain fMRI was obtained from 12 normal right handed subjects (6 males and 6 females) as they performed a verbal fluency task. RESULTS: A broadly consistent pattern of response was seen across subjects. Areas showing activation changes included the left prefrontal cortex and right cerebellum, in agreement with previous PET 15O-H2O studies. In addition, significantly decreased responses were seen in the posterior cingulate and over an extensive area of mesial and dorsolateral parietal and superior temporal cortices. The male cohort showed a slight asymmetry of parietal deactivation, with more involvement on the right, whereas the female cohort showed a small region of activation in the right orbitofrontal cortex. There were individual task related regional changes in all 12 subjects with the area showing the most significant change being the left prefrontal cortex in all cases. CONCLUSIONS: Magnetic resonance scanners of conventional field strength can provide functional brain mapping data with a sensitivity at least that of PET. Activation was seen in left prefrontal and right cerebellar regions, as with PET. However, decremental responses were seen over a much larger area of the posterior cortex than had been anticipated by prior studies. The ability to see a response in each subject individually suggests that fMRI may be useful in the preinterventional mapping of pathological states, and offers a non-invasive alternative to the Wada test for assessment of hemispheric dominance. There were no gross differences in the pattern of activation between male and female subjects.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
Detecting activations in PET and fMRI: levels of inference and power
Friston, K. J., Holmes, A., Poline, J.-B., Price, C. J., & Frith, C. D. (1996) · NeuroImage · doi:10.1006/nimg.1996.0074 · Cited by 1,148 · cited 1×
“=3.09 (uncorrected). The resulting foci were then characterised in terms of spatial extent (k) and peak height (u). The significance of each region was estimated using distribution approximations from the theory of Gaussian fields. This characterisation is in terms of the probability that a region of the observed numb…”
MethodInfluentialFunctional magnetic resonance imaging of Brocaʼs area during internal speech
Hinke, R. M., Hu, X., Stillman, A. E., Kim, S.-G., Merkle, H., Salmi, R., & Ugurbil, K. (1993) · NeuroReport · doi:10.1097/00001756-199306000-00018 · Cited by 293
Investigating a network model of word generation with positron emission tomography
(1991) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.1991.0057 · Cited by 165
Cited by
Functional topography in the human cerebellum: A meta-analysis of neuroimaging studies
STOODLEY, C., & SCHMAHMANN, J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.08.039 · Cited by 2,183
Stoodley, C. J., & Schmahmann, J. D. (2010) · Cortex · doi:10.1016/j.cortex.2009.11.008 · Cited by 1,360
Control of mental activities by internal models in the cerebellum
Ito, M. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2332 · Cited by 1,356
Diamond, A. (2000) · Child Development · doi:10.1111/1467-8624.00117 · Cited by 1,175
The Cerebellum and Cognition: Evidence from Functional Imaging Studies
Stoodley, C. J. (2012) · The Cerebellum · doi:10.1007/s12311-011-0260-7 · Cited by 686
A meta-analysis of cerebellar contributions to higher cognition from PET and fMRI studies
E, K., Chen, S. A., Ho, M. R., & Desmond, J. E. (2014) · Human Brain Mapping · doi:10.1002/hbm.22194 · Cited by 516
“This is fairly consistent with findings from Stoodley and Schmahmann’s [2009] meta-analysis where the difficulty in identifying purely executive regions was addressed. Executive function comprises multiple processes, some of which overlap with that of other domains, such as working memory, emotion and language process…”
ResultCostafreda, S. G., Fu, C. H. Y., Lee, L., Everitt, B., Brammer, M. J., & David, A. S. (2006) · Human Brain Mapping · doi:10.1002/hbm.20221 · Cited by 496
Birn, R. M., Kenworthy, L., Case, L., Caravella, R., Jones, T. B., Bandettini, P. A., & Martin, A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.07.036 · Cited by 377
Sensorimotor gating deficits in adults with autism
Perry, W., Minassian, A., Lopez, B., Maron, L., & Lincoln, A. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.09.025 · Cited by 352
The cerebellum and language: historical perspective and review
Murdoch, B. E. (2010) · Cortex · doi:10.1016/j.cortex.2009.07.018 · Cited by 259
Cerebellar involvement in executive control
Bellebaum, C., & Daum, I. (2007) · The Cerebellum · doi:10.1080/14734220601169707 · Cited by 267
Abrahams, S., Goldstein, L. H., Simmons, A., Brammer, M. J., Williams, S. C. R., Giampietro, V. P., Andrew, C. M., & Leigh, P. N. (2003) · Human Brain Mapping · doi:10.1002/hbm.10126 · Cited by 258
Gender Differences in Human Brain: A Review
Zaidi, Z. F. (2010) · The Open Anatomy Journal · doi:10.2174/1877609401002010037 · Cited by 229
Which Executive Functioning Deficits Are Associated With AD/HD, ODD/CD and Comorbid AD/HD+ODD/CD?
Oosterlaan, J., Scheres, A., & Sergeant, J. A. (2005) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-005-0935-y · Cited by 216
Gurd, J. M., Amunts, K., Weiss, P. H., Zafiris, O., Zilles, K., Marshall, J. C., & Fink, G. R. (2002) · Brain · doi:10.1093/brain/awf093 · Cited by 213
Wagner, S., Sebastian, A., Lieb, K., Tüscher, O., & Tadić, A. (2014) · BMC Neuroscience · doi:10.1186/1471-2202-15-19 · Cited by 205
Attenuated Left Prefrontal Activation during a Verbal Fluency Task in Patients with Depression
Okada, G., Okamoto, Y., Morinobu, S., Yamawaki, S., & Yokota, N. (2003) · Neuropsychobiology · doi:10.1159/000068871 · Cited by 178
Cerebellar rTMS disrupts predictive language processing
Lesage, E., Morgan, B. E., Olson, A. C., Meyer, A. S., & Miall, R. C. (2012) · Current Biology · doi:10.1016/j.cub.2012.07.006 · Cited by 141
An event-related fMRI study of implicit phrase-level syntactic and semantic processing
Kang, A. M., Constable, R. T., Gore, J. C., & Avrutin, S. (1999) · NeuroImage · doi:10.1006/nimg.1999.0493 · Cited by 136
Basho, S., Palmer, E. D., Rubio, M. A., Wulfeck, B., & Müller, R.-A. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.01.007 · Cited by 127
Psychomotor slowing as a predictor of fluoxetine nonresponse in depressed outpatients
Taylor, B. P., Bruder, G. E., Stewart, J. W., McGrath, P. J., Halperin, J., Ehrlichman, H., & Quitkin, F. M. (2006) · American Journal of Psychiatry · doi:10.1176/appi.ajp.163.1.73 · Cited by 109
Neurocognitive predictors of antidepressant clinical response
Bruder, G. E., Alvarenga, J. E., Alschuler, D., Abraham, K., Keilp, J. G., Hellerstein, D. J., Stewart, J. W., & McGrath, P. J. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.04.057 · Cited by 89
Butterfield, L. C., Cimino, C. R., Salazar, R., Sanchez-Ramos, J., Bowers, D., & Okun, M. S. (2017) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988716673467 · Cited by 38
Metadata
- Authors
- Schlosser, R., Hutchinson, M., Joseffer, S., Rusinek, H., Saarimaki, A., Stevenson, J., Dewey, S. L., & Brodie, J. D.
- Venue
- Journal of Neurology, Neurosurgery & Psychiatry
- Publisher
- BMJ
- Published
- 1998-04-01
- Volume
- 64
- Issue
- 4
- Pages
- 492-498
- ISSN
- 0022-3050 (ISSN-L)
- OpenAlex
- W2120457869
- Cited by
- 439
- References
- 4
- FWCI
- 8.64
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
