Difference between revisions of "NA-MIC Internal Collaborations:fMRIAnalysis"

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=== Functional Activation Analysis ===
 
=== Functional Activation Analysis ===
  
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In this project we study the application of model-based clustering algorithms in identification of functional connectivity in the brain. [[Projects:fMRIClustering|More...]]
 
In this project we study the application of model-based clustering algorithms in identification of functional connectivity in the brain. [[Projects:fMRIClustering|More...]]
  
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<font color="red">'''New: '''</font> P. Golland, Y. Golland, R. Malach. Detection of Spatial Activation Patterns As Unsupervised Segmentation of fMRI Data. In Proceedings of MICCAI: International Conference on Medical Image Computing and Computer Assisted Intervention, 110-118, 2007.
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<font color="red">'''New: '''</font> AA. Venkataraman, K.R.A Van Dijk, R.L. Buckner, and P. Golland. Exploring functional connectivity in fMRI via clustering. In Proc. ICASSP: IEEE International Conference on Acoustics, Speech and Signal Processing, 441-444, 2009.
  
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<font color="red">'''New: '''</font> D. Lashkari and P. Golland. Exploratory fMRI Analysis without Spatial Normalization. In Proc. IPMI: International Conference on Information Processing and Medical Imaging, LNCS 5636:398-410, 2009. '''Honorable Mention for the Erbsmann Award'''.
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== [[Projects:NeuralSubstratesOfApathy|Neural Substrates of Apathy]] ==
 
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We recently observed reduced volume of the frontal lobe in patients with schizophrenia having high levels of apathy (link to journal below). In the present investigation we are extending our study of the structural correlates of apathy in schizophrenia using the NAMIC toolkit with an emphasis on basal ganglia.  [[Projects:NeuralSubstratesOfApathy|More...]]
 
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<font color="red">'''New: '''</font> Feb 22, 2006: Sylvain Bouix to visit Dartmouth.
 
  
 
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== [[Projects:NeuralSubstratesOfWorkingMemoryInSchizophrenia|Neural Substrates of Working Memory in Schizophrenia]] ==
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== [[Projects:FieldmapFreeDistortionCorrection|Fieldmap-Free EPI Distortion Correction]] ==
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This project assesses working memory using an auditory verbal version of the n-back task paradigm. Three conditions are presented in blocks in counterbalanced order with increasing working memory load demands (0-, 1-, 2- and 3-back). [[Projects:NeuralSubstratesOfWorkingMemoryInSchizophrenia|More...]]
 
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<font color="red">'''New: '''</font> December 20, 2005: Marek Kubicki visit to Dartmouth.
 
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In this project we aim to improve the EPI distortion correction algorithms [[Projects:FieldmapFreeDistortionCorrection|More...]]
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== [[Projects:fMRIDetection|fMRI Detection and Analysis]] ==
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<font color="red">'''New: '''</font>  Poynton C., Jenkinson M., Wells III W. Atlas-Based Improved Prediction of Magnetic Field Inhomogeneity for Distortion Correction of EPI Data. MICCAI 2009.
  
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We are exploring algorithms for improved fMRI detection and interpretation by incorporting spatial priors and anatomical information to guide the detection. [[Projects:fMRIDetection|More...]]
 
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<font color="red">'''New:'''</font> Wanmei Ou, Sandy Wells, Polina Golland. Bridging Spatial Regularization And Anatomical Priors in fMRI Detection. In preparation for submission to IEEE TMI.
 
  
 
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== [[Projects:BrainActivationDuringContinuousVerbalEncodingAndRecognitionTaskInSchizophrenia|Brain Activation during Continuous Verbal Encoding and Recognition Task in Schizophrenia]] ==
 
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This project employs an event-related auditory verbal episodic memory probe targeting medial temporal and DLPFC circuitry. The task uses a continuous performance format where concrete nouns are presented initially as new items. Words are then repeated after short or long intervals and the participant is required to make a new/old distinction. This design permits analysis of both encoding and recognition processes. [[Projects:BrainActivationDuringContinuousVerbalEncodingAndRecognitionTaskInSchizophrenia|More...]]
 
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<font color="red">'''New: '''</font> December 20, 2005: Marek Kubicki visit to Dartmouth.
 
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== [[Projects:ConformalFlatteningRegistration|Conformal Flattening]] ==
 
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The goal of this project is for better visualizing and computation of neural activity from fMRI brain imagery. Also, with this technique, shapes can be mapped to shperes for shape analysis, registration or other purposes. Our technique is based on conformal mappings which map genus-zero surface: in fmri case cortical or other surfaces, onto a sphere in an angle preserving manner. [[Projects:ConformalFlatteningRegistration|More...]]
 
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<font color="red">'''New: '''</font> Y. Gao, J. Melonakos, and A. Tannenbaum. Conformal Flattening ITK Filter. ISC/NA-MIC Workshop on Open Science at MICCAI 2006.
 
  
 
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Latest revision as of 18:11, 4 November 2009

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fMRI Analysis

Functional Activation Analysis

Mit fmri clustering parcellation2 xsub.png

fMRI clustering

In this project we study the application of model-based clustering algorithms in identification of functional connectivity in the brain. More...

New: AA. Venkataraman, K.R.A Van Dijk, R.L. Buckner, and P. Golland. Exploring functional connectivity in fMRI via clustering. In Proc. ICASSP: IEEE International Conference on Acoustics, Speech and Signal Processing, 441-444, 2009.

New: D. Lashkari and P. Golland. Exploratory fMRI Analysis without Spatial Normalization. In Proc. IPMI: International Conference on Information Processing and Medical Imaging, LNCS 5636:398-410, 2009. Honorable Mention for the Erbsmann Award.

Epi correction small.jpg

Fieldmap-Free EPI Distortion Correction

In this project we aim to improve the EPI distortion correction algorithms More...

New: Poynton C., Jenkinson M., Wells III W. Atlas-Based Improved Prediction of Magnetic Field Inhomogeneity for Distortion Correction of EPI Data. MICCAI 2009.


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