Published material describing the techniques used in FreeSurfer ([http://www.nmr.mgh.harvard.edu/martinos/userInfo/data/cite.php please cite our software!]):

• surface reconstruction:

  • [https://surfer.nmr.mgh.harvard.edu/ftp/articles/dale99-recon1.pdf Cortical Surface-Based Analysis I: Segmentation and Surface Reconstruction], Dale, A.M., Fischl, B., Sereno, M.I., (1999). NeuroImage 9(2):179-194

  • [https://surfer.nmr.mgh.harvard.edu/ftp/articles/fischl99b-recon2.pdf Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System], Fischl, B., Sereno, M.I., Dale, A.M., (1999). NeuroImage, 9(2):195-207.

  • [https://surfer.nmr.mgh.harvard.edu/ftp/articles/fischl01-topology-fixing.pdf Automated Manifold Surgery: Constructing Geometrically Accurate and Topologically Correct Models of the Human Cerebral Cortex], Fischl, B., Liu, A. and Dale, A.M., (2001). IEEE Transactions on Medical Imaging, 20(1):70-80.

  • [https://surfer.nmr.mgh.harvard.edu/ftp/articles/dalesereno93-ms.pdf Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: A linear approach], Dale, A.M., and Sereno, M.I. (1993). Journal of Cognitive Neuroscience 5:162-176.

  • [http://www.nmr.mgh.harvard.edu/~fischl/reprints/Neuroimage_Segonne_watershed.pdf A Hybrid Approach to the Skull-Stripping Problem in MRI], Ségonne, F., Dale, A.M., Busa, E., Glessner, M., Salvolini, U., Hahn, H.K., Fischl, B. (2004). NeuroImage, 22:1160-1075.

  • [http://www.nmr.mgh.harvard.edu/~fischl/reprints/segonne_ga_ipmi2005.pdf Genetic Algorithm for the Topology Correction of Cortical Surfaces], F. Segonne, E. Grimson, B. Fischl (2005). IPMI pp393--405.

• inter-subject spherical averaging:

  • [https://surfer.nmr.mgh.harvard.edu/ftp/articles/fischl99-morphing.pdf High-resolution inter-subject averaging and a coordinate system for the cortical surface], Fischl, B., Sereno, M.I., Tootell, R.B.H., and Dale, A.M., (1999). Human Brain Mapping, 8:272-284(1999).

• thickness measurement:

  • [https://surfer.nmr.mgh.harvard.edu/ftp/articles/fischl00-cortical-thickness.pdf Measuring the Thickness of the Human Cerebral Cortex from Magnetic Resonance Images], Fischl, B., and Dale, A.M., (2000). Proceedings of the National Academy of Sciences, 97:11044-11049.

  • [http://www.nmr.mgh.harvard.edu/~fischl/reprints/Han_NeuroImage_2006_thickness_reliability.pdf Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer], Han et al., (2006) NeuroImage, 32(1):180-194.

  • see also below: Rosas et al. (histology) and Kuperberg et al. (MRI) were validation studies for the thickness measures

• cortical parcellation:

  • [https://surfer.nmr.mgh.harvard.edu/ftp/articles/fischl04-parcellation.pdf Automatically Parcellating the Human Cerebral Cortex], Fischl et al., (2004). Cerebral Cortex, 14:11-22.

  • [https://surfer.nmr.mgh.harvard.edu/ftp/articles/desikan06-parcellation.pdf An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest], Desikan et al., (2006). NeuroImage, in press.

• subcortical segmentation:

  • [https://surfer.nmr.mgh.harvard.edu/ftp/articles/fischl02-labeling.pdf Whole Brain Segmentation: Automated Labeling of Neuroanatomical Structures in the Human Brain], Fischl et al., (2002). Neuron, 33:341-355.

  • [http://www.nmr.mgh.harvard.edu/~fischl/reprints/sequence_independent_segmentation_reprint.pdf Sequence-Independent Segmentation of Magnetic Resonance Images], Fischl, B., Salat. D.H., van der Kouwe, A.J.W., Makris, N., Ségonne, F., and Dale, A.M. (2004) NeuroImage 23:S69-S84.

• related methodological papers

  • [http://www.nmr.mgh.harvard.edu/~fischl/reprints/Golland_MICCAI2002.pdf Discriminative Analysis for Image-Based Studies], P. Golland, B. Fischl, M. Spiridon, N. Kanwisher, R.L. Buckner, M.E. Shenton, R. Kikinis, A. Dale, W.E.L. Grimson, (2002) In Proc. MICCAI'2002: Fifth International Conference on Medical Image Computing And Computer Assisted Intervention. LNCS 2488:508-515.

  • [http://www.nmr.mgh.harvard.edu/~fischl/reprints/golland-fischl-ipmi03.pdf Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies], P. Golland and B. Fischl, (2003) Proc. IPMI2003: 18th International Conference on Information Processing in Medical Imaging.

  • [http://www.nmr.mgh.harvard.edu/~fischl/reprints/segonne_subcortical_topology_miccai2003.pdf Topology Correction of Subcortical Segmentation], F. Segonne, E. Grimson and B. Fischl, (2003) MICCAI 2003.

Published material citing Freesurfer:

• cortical thickness

  • [http://www.nmr.mgh.harvard.edu/~fischl/reprints/hd_neurology_reprint.pdf Regional and progressive thinning of the cortical ribbon in Huntington’s disease], Rosas et al., (2002). Neurology, 58:695-701.

  • [http://www.nmr.mgh.harvard.edu/~fischl/reprints/Kuperberg_and_Fischl_ArchGenPsy_03.pdf Regionally localized thinning of the cerebral cortex in schizophrenia], Kuperberg et al., (2003). Archives of General Psychiatry, 60:878-888.

  • [http://www.nmr.mgh.harvard.edu/~fischl/reprints/Brain2003v126p1734Sailercorticalthickness.pdf Focal thinning of the cerebral cortex in multiple sclerosis], Sailer, M., B. Fischl, D. Salat, C. Tempelmann, M. Schonfeld, E. Busa, N. Bodammer, H. Heinze, and A. Dale, (2003). Brain, 126(9):1734-1744. ([http://www.nmr.mgh.harvard.edu/~fischl/reprints/Brain2003v126p1719editorialMatthewscortex.pdf editorial])

  • [https://surfer.nmr.mgh.harvard.edu/ftp/articles/salat04-thinning.pdf Thinning of the Cerebral Cortex in Aging], Salat et al., (2004). Cerebral Cortex, 14:721-730.

  • [http://www.nmr.mgh.harvard.edu/~fischl/reprints/rauch_2004_reprint.pdf A magnetic resonance imaging study of cortical thickness in animal phobia], Rauch, S., C. Wright, B. Martis, E. Busa, K. McMullin, L. Shin, A. Dale, and B. Fischl, (2004). Biological Psychiatry, 55(9):946-952.

  • [http://www.nmr.mgh.harvard.edu/~fischl/reprints/BrianGoldSemantifDementaNeuropsychologia_43.pdf Differing neuropsychological and neuroanatomical correlates of abnormal reading in early-stage semantic dementia and dementia of the Alzheimer type], Gold, B.T., D.A. Balota, M.J. Cortes, S.D. Sergent-Marshall, A.Z. Snyder, D.H. Salat, B. Fischl, A.M. Dale, J.C. Morris, and R.L. Buckner, (2005). Neuropsychologia, 43: p. 833-846.

• volumetric

  • [https://surfer.nmr.mgh.harvard.edu/ftp/articles/fjell2005.pdf Age does not increase rate of forgetting over weeks neuroanatomical volumes and visual memory across the adult life-span], Fjell, A.M., K.B. Walhovd, I. Reinvang, A. Lundervold, A.M. Dale, B.T. Quinn, N. Makris, and B. Fischl, (2005). Journal of the International Neuropsychological Society, 2-15(1):2-15.

  • [https://surfer.nmr.mgh.harvard.edu/ftp/articles/walhovd2005.pdf Cortical volume and speed-of-processing are complementary in prediction of performance intelligence], Walhovd, K.B., A.M. Fjell, I. Reinvang, A. Lundervold, B. Fischl, B.T. Quinn, N. Makris, and A.M. Dale, (2005). Neuropsychologia, 43(5):704-713.

• entorhinal cortex

  • [http://www.nmr.mgh.harvard.edu/~fischl/reprints/EC_islands_annals_of_neurology_reprint.pdf Detection of entorhinal layer II using 7 Tesla magnetic resonance imaging], Jean C. Augustinack, Andre J. W. van der Kouwe, Megan L. Blackwell, David H. Salat, Christopher J. Wiggins, Matthew P. Frosch, Graham C. Wiggins, Andreas Potthast, Lawrence L. Wald, Bruce R. Fischl, (2005). Annals of Neurology, 57(4):489-494.