The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Anterior and middle cranial fossa in traumatic brain injury: Relevant neuroanatomy and neuropathology in the study of neuropsychological outcome.
Abstract
The frontal and temporal lobe regions of the brain have a high vulnerability to injury as a consequence of cerebral trauma. One reason for this selective vulnerability is how the frontal and temporal regions are situated in the anterior and cranial fossa of the skull. These concavities of the skull base cup the frontal and temporal lobes which create surface areas of contact between the dura, brain, and skull where mechanical deformation injures the brain. In particular, the sphenoid ridge and the free-edge of the tentorium cerebelli are uniquely situated to facilitate injury to the posterior base of the frontal lobe and the anterior pole and medial surface area of the temporal lobe. Three-dimensional image reconstruction with computerized tomography and magnetic resonance imaging are used to demonstrate the vulnerability of these regions. How neuropsychological deficits result from damage to these areas is reviewed and discussed.
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
Basal Ganglia Volumes in Patients With Gilles de la Tourette Syndrome
Peterson, B. S., Thomas, P., Kane, M. J., Scahill, L., Zhang, H., Bronen, R., King, R. A., Leckman, J. F., & Staib, L. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.4.415 · Cited by 527
The Human Brain Age 7–11 Years: A Volumetric Analysis Based on Magnetic Resonance Images
Caviness, V. S., Kennedy, D. N., Richelme, C., Rademacher, J., & Filipek, P. A. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.5.726 · Cited by 509
The case of K.C.: contributions of a memory-impaired person to memory theory
Rosenbaum, R. S., Köhler, S., Schacter, D. L., Moscovitch, M., Westmacott, R., Black, S. E., Gao, F., & Tulving, E. (2005) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.10.007 · Cited by 433
Dynamic mapping of normal human hippocampal development
Gogtay, N., Nugent, T. F., Herman, D. H., Ordonez, A., Greenstein, D., Hayashi, K. M., Clasen, L., Toga, A. W., Giedd, J. N., Rapoport, J. L., et al. (2006) · Hippocampus · doi:10.1002/hipo.20193 · Cited by 426
Quantitative magnetic resonance imaging of the brain in survivors of very low birth weight
Abernethy, L. J. (2002) · Archives of Disease in Childhood · doi:10.1136/adc.87.4.279 · Cited by 157
Floyd, C. L., Gorin, F. A., & Lyeth, B. G. (2005) · Glia · doi:10.1002/glia.20183 · Cited by 121
Sharing neuroimaging studies of human cognition
Horn, J. D. V., Grafton, S. T., Rockmore, D., & Gazzaniga, M. S. (2004) · Nature Neuroscience · doi:10.1038/nn1231 · Cited by 83
Cited by
Depression and cognitive complaints following mild traumatic brain injury
Silver, J. M., McAllister, T. W., & Arciniegas, D. B. (2009) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2009.08111676 · Cited by 315
Neuropathology of mild traumatic brain injury: relationship to neuroimaging findings
Bigler, E. D., & Maxwell, W. L. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-011-9145-0 · Cited by 311
Self-citationTate, R., Kennedy, M., Ponsford, J., Douglas, J., Velikonja, D., Bayley, M., & Stergiou-Kita, M. (2014) · Journal of Head Trauma Rehabilitation · doi:10.1097/htr.0000000000000068 · Cited by 155
Neuropsychological Sequelae of PTSD and TBI Following War Deployment among OEF/OIF Veterans
Dolan, S., Martindale, S., Robinson, J., Kimbrel, N. A., Meyer, E. C., Kruse, M. I., Morissette, S. B., Young, K. A., & Gulliver, S. B. (2012) · Neuropsychology Review · doi:10.1007/s11065-012-9190-5 · Cited by 126
LoBue, C., Munro, C., Schaffert, J., Didehbani, N., Hart, Batjer, H., & Cullum, C. M. (2019) · Journal of Alzheimer's Disease · doi:10.3233/jad-190028 · Cited by 86
Metadata
- Authors
- Bigler, E. D.
- Venue
- Neuropsychology
- Published
- 2007
- Volume
- 21
- Issue
- 5
- Pages
- 515-531
- ISSN
- 0894-4105 (ISSN-L)
- 1931-1559
- OpenAlex
- W2004084999
- Cited by
- 273
- References
- 7
- FWCI
- 6.49
- Type
- journal article
- Language
- en
- Open access
- closed
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.
