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Whitwell JL, Josephs KA. Neuroimaging in frontotemporal lobar degeneration--predicting molecular pathology. Nat Rev Neurol. 2012;8(3):131-42doi: 10.1038/nrneurol.2012.7.
Whitwell, J. L., & Josephs, K. A. (2012). Neuroimaging in frontotemporal lobar degeneration--predicting molecular pathology. Nature reviews. Neurology, 8(3), 131-42. https://doi.org/10.1038/nrneurol.2012.7
Whitwell, Jennifer L, and Josephs, Keith A. "Neuroimaging in frontotemporal lobar degeneration--predicting molecular pathology." Nature reviews. Neurology vol. 8,3 (2012): 131-42. doi: https://doi.org/10.1038/nrneurol.2012.7
Whitwell JL, Josephs KA. Neuroimaging in frontotemporal lobar degeneration--predicting molecular pathology. Nat Rev Neurol. 2012 Jan 31;8(3):131-42. doi: 10.1038/nrneurol.2012.7. PMID: 22290573.
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Nat Rev Neurol. 2012 Jan 31;8(3):131-42. doi: 10.1038/nrneurol.2012.7.

Neuroimaging in frontotemporal lobar degeneration--predicting molecular pathology.

Nature reviews. Neurology

Jennifer L Whitwell, Keith A Josephs

Affiliations

  1. Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.

PMID: 22290573 DOI: 10.1038/nrneurol.2012.7

Abstract

Frontotemporal lobar degeneration (FTLD) encompasses a group of diseases characterized by neuronal loss and gliosis of the frontal and temporal lobes. Almost all cases of FTLD can be classified into three categories on the basis of deposition of one of three abnormal proteins: the microtubule-associated protein tau, TAR DNA-binding protein 43, or fused in sarcoma. The specific diagnoses within each of these three categories are further differentiated by the distribution and morphological appearance of the protein-containing inclusions. Future treatments are likely to target these abnormal proteins; the clinical challenge, therefore, is to be able to predict molecular pathology during life. Clinical diagnosis alone has had variable success in helping to predict pathology, and is particularly poor in the diagnosis of behavioral variant frontotemporal dementia, which can be associated with all three abnormal proteins. Consequently, other biomarkers of disease are needed. This Review highlights how patterns of atrophy assessed on MRI demonstrate neuroanatomical signatures of the individual FTLD pathologies, independent of clinical phenotype. The roles of these patterns of atrophy as biomarkers of disease, and their potential to help predict pathology during life in patients with FTLD, are also discussed.

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