Is long-term prognosis of frontotemporal lobar degeneration predictable by neuroimaging? Evidence from a single-subject functional brain study.

Prediction of survival in frontotemporal lobar degeneration (FTLD) is guesswork. The aim of the present study was to evaluate whether SPECT scan may be useful to predict prognosis of long term survival in FTLD patients. A cohort of 125 patients with FTLD who underwent brain SPECT scan at the time of enrollment and who were further followed up for at least one year were considered. In each subject, volume of interests (VOIs) covering frontotemporal and parietal regions, bilaterally, were drawn. Principal component analysis (PCA) was applied on VOIs, and a Cox regression model was carried out to find out best predictors of survival. A two-pattern PCA solution was chosen, explaining more than 70% of variance, and "frontal" PC1 and "temporal" PC2 components were identified. The frontal PC1 was associated with higher rate of faster progression (HR = 2.06, 95% CI = 1.23-3.44, p = 0.006 for univariate model, and HR = 1.85, 95% CI = 1.04-3.28, p = 0.03 for multivariate model). In particular, right orbitofrontal cortex showed the higher loadings in PC1; the worse the scores of this region the shorter the survival was reported. We suggest that SPECT imaging, beyond a helpful tool in diagnostic assessment, may be an easily and accessible marker of disease outcome in FTLD. Further studies considering structural neuroimaging are warranted.

[1]  H. Damasio,et al.  The Iowa Gambling Task and the somatic marker hypothesis: some questions and answers , 2005, Trends in Cognitive Sciences.

[2]  C. Jack,et al.  Predicting functional decline in behavioural variant frontotemporal dementia. , 2011, Brain : a journal of neurology.

[3]  J R Hodges,et al.  Determinants of survival in behavioral variant frontotemporal dementia , 2009, Neurology.

[4]  D. Knopman,et al.  Predicting survival in frontotemporal dementia with motor neuron disease , 2011, Neurology.

[5]  S. Pickering-Brown Review: Recent progress in frontotemporal lobar degeneration , 2010, Neuropathology and applied neurobiology.

[6]  Nathaniel Mercaldo,et al.  Development of methodology for conducting clinical trials in frontotemporal lobar degeneration. , 2008, Brain : a journal of neurology.

[7]  B Miller,et al.  Clinical and pathological diagnosis of frontotemporal dementia: report of the Work Group on Frontotemporal Dementia and Pick's Disease. , 2001, Archives of neurology.

[8]  A Chatterjee,et al.  Factors associated with survival probability in autopsy-proven frontotemporal lobar degeneration , 2007, Journal of Neurology, Neurosurgery, and Psychiatry.

[9]  D. Perani,et al.  Survival in frontotemporal lobar degeneration and related disorders: latent class predictors and brain functional correlates. , 2009, Rejuvenation research.

[10]  X. Wang,et al.  Longitudinal decline in autopsy-defined frontotemporal lobar degeneration , 2008, Neurology.

[11]  B. Miller,et al.  Classification of primary progressive aphasia and its variants , 2011, Neurology.

[12]  Nick C. Fox,et al.  Clinical and neuroanatomical signatures of tissue pathology in frontotemporal lobar degeneration , 2011, Brain : a journal of neurology.

[13]  C. DeCarli,et al.  Rate of progression differs in frontotemporal dementia and Alzheimer disease , 2005, Neurology.

[14]  D. Perani,et al.  Tau haplotype influences cerebral perfusion pattern in frontotemporal lobar degeneration and related disorders , 2008, Acta neurologica Scandinavica.

[15]  J. Hodges,et al.  Survival in frontotemporal dementia , 2003, Neurology.

[16]  J. E. Jackson A User's Guide to Principal Components , 1991 .

[17]  M. Freedman,et al.  Frontotemporal lobar degeneration , 1998, Neurology.

[18]  W. Jagust,et al.  Brain perfusion imaging predicts survival in Alzheimer's disease , 1998, Neurology.

[19]  B. Borroni,et al.  The FTLD‐modified Clinical Dementia Rating scale is a reliable tool for defining disease severity in Frontotemporal Lobar Degeneration: evidence from a brain SPECT study , 2010, European Journal of Neurology.

[20]  Paul J. Laurienti,et al.  An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets , 2003, NeuroImage.

[21]  J. Hodges,et al.  Progression in frontotemporal dementia: identifying a benign behavioral variant by magnetic resonance imaging. , 2006, Archives of neurology.

[22]  M. Luca,et al.  Establishing short-term prognosis in Frontotemporal Lobar Degeneration spectrum: Role of genetic background and clinical phenotype , 2010, Neurobiology of Aging.

[23]  A. Rovelet-Lecrux,et al.  Recent insights into the molecular genetics of dementia , 2009, Trends in Neurosciences.

[24]  J. Gunter,et al.  Trajectories of brain and hippocampal atrophy in FTD with mutations in MAPT or GRN , 2011, Neurology.

[25]  G. Comi,et al.  Genetic Background Predicts Poor Prognosis in Frontotemporal Lobar Degeneration , 2011, Neurodegenerative Diseases.