Methodology – References

Convocatorias 2017

Proyectos EXCELENCIA y Proyectos RETOS

AGENCIA ESTATAL DE INVESTIGACIÓN

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Methodology – References

 

  1. Daniel, S. E. & Lees, A. J. Parkinson’s Disease Society Brain Bank, London: overview and research. J. Neural Transm. Suppl. 39, 165–72 (1993).
  2. Dubois, B. et al. Diagnostic procedures for Parkinson’s disease dementia: recommendations from the movement disorder society task force. Mov. Disord. 22, 2314–24 (2007).
  3. Litvan, I. et al. Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: Movement Disorder Society Task Force guidelines. Mov. Disord. 27, 349–56 (2012).
  4. Goetz, C. The Unified Parkinson’s Disease Rating Scale (UPDRS): Status and recommendations. Mov. Disord. 18, 738–750 (2003).
  5. Hoehn, M. M. & Yahr, M. D. Parkinsonism: onset, progression and mortality. Neurology 17, 427–42 (1967).
  6. Cummings, J. L. et al. The Neuropsychiatric Inventory: comprehensive assessment of psychopathology in dementia. Neurology 44, 2308–2314 (1994).
  7. Beck, A. T., Steer, R. A. & Brown, G. K. Manual for the Beck Depression Inventory-II. (Psychological Corporation, 1996).
  8. Starkstein, S. E. et al. Reliability, validity, and clinical correlates of apathy in Parkinson’s disease. J. Neuropsychiatry Clin. Neurosci. 4, 134–9 (1992).
  9. Chaudhuri, K. R., Healy, D. G., Schapira, A. H. & National Institute for Clinical Excellence. Non-motor symptoms of Parkinson’s disease: diagnosis and management. Lancet Neurol. 5, 235–245 (2006).
  10. Frauscher, B. et al. Validation of the Innsbruck REM sleep behavior disorder inventory. Mov. Disord. 27, 1673–1678 (2012).
  11. Weintraub, D. et al. Validation of the questionnaire for impulsive-compulsive disorders in Parkinson’s disease. Mov. Disord. 24, 1461–1467 (2009).
  12. Jenkinson, C., Fitzpatrick, R., Peto, V., Greenhall, R. & Hyman, N. The Parkinson’s Disease Questionnaire (PDQ-39): development and validation of a Parkinson’s disease summary index score. Age Ageing 26, 353–7 (1997).
  13. Lawton, M. P. & Brody, E. M. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 9, 179–86 (1969).
  14. Graf, C. The Lawton Instrumental Activities of Daily Living Scale. AJN, Am. J. Nurs. 108, 52–62 (2008).
  15. Ekman, P. & Friesen, W. V. Pictures of Facial Affect. Consult. Psychol. Press Paloalto (1976).
  16. Baron-Cohen, S., Wheelwright, S., Hill, J., Raste, Y. & Plumb, I. The "Reading the Mind in the Eyes" Test revised version: a study with normal adults, and adults with Asperger syndrome or high-functioning autism. J. Child Psychol. Psychiatry. 42, 241–51 (2001).
  17. Gil, D., Fernández-Modamio, M., Bengochea, R. & Arrieta, M. [Adaptation of the Hinting Task theory of the mind test to Spanish]. Rev. Psiquiatr. Salud Ment. 5, 79–88 (2012).
  18. Davis, M. Measuring individual differences in empathy: Evidence for a multidimensional approach. J. Pers. Soc. Psychol. 44, 113–126 (1983).
  19. Dale, A. M., Fischl, B. & Sereno, M. I. Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage 9, 179–94 (1999).
  20. Dale, A. M. & Sereno, M. I. Improved Localizadon of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach. J. Cogn. Neurosci. 5, 162–76 (1993).
  21. Fischl, B. & Dale, A. M. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc. Natl. Acad. Sci. U. S. A. 97, 11050–11055 (2000).
  22. Fischl, B. et al. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33, 341–355 (2002).
  23. Andersson, J. L. R., Jenkinson, M. & M, S. S. ‘Non-linear optimization’ FMRIB Technical Report TR07JA1. FMRIB Technical Report TR07JA1 (2007).
  24. Andersson, J. L. R., Jenkinson, M. & Smith, S. M. ‘Non-linear registration, aka Spatial Normalisation’ FMRIB Technical Report TR07JA2. (2007).
  25. Biswal, B. B., Eldreth, D. A., Motes, M. A. & Rypma, B. Task-dependent individual differences in prefrontal connectivity. Cereb. Cortex 20, 2188–97 (2010).
  26. van den Heuvel, M. P. & Hulshoff Pol, H. E. Exploring the brain network: a review on resting-state fMRI functional connectivity. Eur. Neuropsychopharmacol. 20, 519–34 (2010).
  27. Smith, S. M. et al. Correspondence of the brain’s functional architecture during activation and rest. Proc. Natl. Acad. Sci. U. S. A. 106, 13040–5 (2009).
  28. Damoiseaux, J. S. et al. Consistent resting-state networks across healthy subjects. Proc. Natl. Acad. Sci. U. S. A. 103, 13848–53 (2006).
  29. Rubinov, M. & Sporns, O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52, 1059–69 (2010).
  30. Ward, J. Hierarchical Grouping to Optimize an Objective Function. J. Am. Stat. Assoc. 58, 236–244 (1963).
  31. Azran, A. & Ghahramani, Z. A New Approach to Data Driven Clustering.
  32. Greicius, M. D., Srivastava, G., Reiss, A. L. & Menon, V. Default-mode network activity distinguishes Alzheimer’s disease from healthy aging: evidence from functional MRI. Proc. Natl. Acad. Sci. U. S. A. 101, 4637–42 (2004).
  33. Fan, L. et al. The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture. Cereb. Cortex 26, 3508–3526 (2016).