Neural networks in frontotemporal dementia—A meta-analysis

@article{Schroeter2008NeuralNI,
  title={Neural networks in frontotemporal dementia—A meta-analysis},
  author={M. Schroeter and K. Raczka and J. Neumann and D. V. Cramon},
  journal={Neurobiology of Aging},
  year={2008},
  volume={29},
  pages={418-426}
}
  • M. Schroeter, K. Raczka, +1 author D. V. Cramon
  • Published 2008
  • Psychology, Medicine
  • Neurobiology of Aging
  • OBJECTIVE Frontotemporal dementia is the most common form of frontotemporal lobar degeneration. It is characterized by deep alterations in behavior and personality. We conducted a systematic and quantitative meta-analysis to examine its neural correlates and place the disease in a framework of cognitive neuropsychiatry. METHODS MedLine and Current Contents search engines were used to identify imaging studies investigating frontotemporal dementia between 1980 and 2005. Nine studies were… CONTINUE READING
    151 Citations
    Towards a nosology for frontotemporal lobar degenerations—A meta-analysis involving 267 subjects
    • 140
    Dissociating behavioral disorders in early dementia—An FDG-PET study
    • 44
    Predicting behavioral variant frontotemporal dementia with pattern classification in multi-center structural MRI data
    • 37
    Frontotemporal dementia
    • PDF

    References

    SHOWING 1-10 OF 67 REFERENCES
    Patterns of brain atrophy in frontotemporal dementia and semantic dementia
    • 770
    • PDF
    Frontotemporal dementia as a neural system disease
    • 126
    Qualitative neuropsychological performance characteristics in frontotemporal dementia and Alzheimer’s disease
    • 248
    • PDF
    Frontotemporal lobar degeneration: demographic characteristics of 353 patients.
    • 317
    • PDF
    Neuroanatomy of the self
    • 185
    Pain processing in dementia and its relation to neuropathology
    • 215