Please Cite Our Software!

If you use any Martinos Center software packages in your research, we ask that you include in your publications references specific to the packages used.  Users of the Martinos Center facilities should additionally acknowledge the following grant support: P41RR14075 and The MIND Institute. Your acknowledgments are monitored by the agencies that support our efforts. These citations are crucial to our ability to secure future funding for improvements and development of new packages, and to provide software to the imaging community free of charge.

In addition, we would like to list your publications that use our software on our website. Please email the reference, the name of your lab, department and institution, and name of the software package used to webmaster@nmr.mgh.harvard.edu.

Freesufer & FS Fast | WRST

If you use Freesurfer in your work, please reference the following:

if you use surface reconstructions

Segonne F, Dale, AM, Busa E, Glessner M, Salvolini U, Hahn HK, Fischl B, A Hybrid Approach to the Skull-Stripping Problem in MRI. NeuroImage, (in press).

Dale, A.M., Fischl, Bruce, Sereno, M.I., (1999). Cortical Surface-Based Analysis I: Segmentation and Surface Reconstruction. NeuroImage 9(2):179-194.

Fischl, Bruce, Sereno, M.I., Dale, A.M., (1999). Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System. NeuroImage 9(2):195-207.

Fischl, Bruce, Liu, Arthur, and Dale, A.M., (2001). Automated Manifold Surgery: Constructing Geometrically Accurate and Topologically Correct Models of the Human Cerebral Cortex. IEEE Transactions on Medical Imaging, 20(1):70-80.

if you do inter-subject spherical averaging

Fischl, Bruce, Sereno, M.I., Tootell, R.B.H., and Dale, A.M., (1999). High-resolution inter-subject averaging and a coordinate system for the cortical surface. Human Brain Mapping, 8:272-284.

if you do a thickness study

Fischl, Bruce, and Dale, A.M., (2000). Measuring the Thickness of the Human Cerebral Cortex from Magnetic Resonance Images. Proceedings of the National Academy of Sciences, 97:11044-11049.

if you use cortical parcellations

Fischl B, van der Kouwe A, Destrieux C, Halgren E, Ségonne F, Salat DH, Busa E, Seidman LJ, Goldstein J, Kennedy D, Caviness V, Makris N, Rosen B, Dale, AM Automatically Parcellating the Human Cerebral Cortex. Cerebral Cortex, 2004; 14:11-22.

if you do subcortical segmentation

Fischl B, Salat DH, van der Kouwe AJW, Makris N, Ségonne F, Dale AM. Sequence-Independent Segmentation of Magnetic Resonance Images. NeuroImage (in press).

Fischl B, Salat D, Busa E, Albert M, Dieterich M, Haselgrove C, van der Kouwe A, Killiany R, Kennedy D, Klaveness S, Montillo A, Makris N, Rosen B, Dale A.M.. Whole brain segmentation. Automated labeling of neuroanatomical structures in the human brain. Neuron. 2002; 33(3):341-355.

If you use WRST in your work, please reference the following:

Long, C.J., Brown, E.N., Manoach, D., Solo, V., Spatio-Temporal Wavelet Analysis for functional MRI, NeuroImage (2004) In Press.

Solo, V., Purdon, P.L., Brown, E.N., Weisskoff, R.M., 2001. A signal estimation approach to functional MRI. IEEE Trans. Med. Imag. 20,26-35.

Purdon, P.L., Solo, V., Weisskoff, R.M., Brown, E.N., 2001. Locally regularized spatio-temporal modelling and model comparison for functional MRI. NeuroImage 14, 912-923.