High‐resolution fMRI investigation of the medial temporal lobe

The medial temporal lobe (MTL) is critical for declarative memory formation. Several theories of MTL function propose functional distinctions between the different structures of the MTL, namely the hippocampus and the surrounding cortical areas. Furthermore, computational models and electrophysiological studies in animals suggest distinctions between the subregions of the hippocampus itself. Standard fMRI resolution is not sufficiently fine to resolve activity on the scale of hippocampal subregions. Several approaches to scanning the MTL at high resolutions have been made, however there are limitations to these approaches, namely difficulty in conducting group‐level analyses. We demonstrate here techniques for scanning the MTL at high resolution and analyzing the high‐resolution fMRI data at the group level. To address the issue of cross‐participant alignment, we employ the ROI‐LDDMM alignment technique, which is demonstrated to result in smaller alignment errors when compared with several other common normalization techniques. Finally, we demonstrate that the pattern of activation obtained in the high‐resolution functional data is similar to that obtained at lower resolution, although the spatial extent is smaller and the percent signal change is greater. This difference in the pattern of activation may be due to less partial volume sampling in the high‐resolution data, resulting in more accentuated regions of activation. Hum Brain Mapp 2006. © 2006 Wiley‐Liss, Inc.

[1]  W. Scoville,et al.  LOSS OF RECENT MEMORY AFTER BILATERAL HIPPOCAMPAL LESIONS , 1957, Journal of neurology, neurosurgery, and psychiatry.

[2]  D Marr,et al.  Simple memory: a theory for archicortex. , 1971, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[3]  H. Duvernoy The Human Hippocampus , 1988, J.F. Bergmann-Verlag.

[4]  J. Talairach,et al.  Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System: An Approach to Cerebral Imaging , 1988 .

[5]  Yasushi Miyashita,et al.  Generation of fractal patterns for probing the visual memory , 1991, Neuroscience Research.

[6]  H. Eichenbaum,et al.  Two functional components of the hippocampal memory system , 1994, Behavioral and Brain Sciences.

[7]  James L. McClelland,et al.  Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.

[8]  R W Cox,et al.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.

[9]  H. Soininen,et al.  MR volumetric analysis of the human entorhinal, perirhinal, and temporopolar cortices. , 1998, AJNR. American journal of neuroradiology.

[10]  M. W. Brown,et al.  Episodic memory, amnesia, and the hippocampal–anterior thalamic axis , 1999, Behavioral and Brain Sciences.

[11]  A M Dale,et al.  Optimal experimental design for event‐related fMRI , 1999, Human brain mapping.

[12]  P. Boesiger,et al.  SENSE: Sensitivity encoding for fast MRI , 1999, Magnetic resonance in medicine.

[13]  Paul E. Gilbert,et al.  Testing neural network models of memory with behavioral experiments , 2000, Current Opinion in Neurobiology.

[14]  Stephen A. Engel,et al.  Application of Cortical Unfolding Techniques to Functional MRI of the Human Hippocampal Region , 2000, NeuroImage.

[15]  B. Biswal,et al.  High‐resolution fMRI using multislice partial k‐space GR‐EPI with cubic voxels , 2001, Magnetic resonance in medicine.

[16]  R. O’Reilly,et al.  Conjunctive representations in learning and memory: principles of cortical and hippocampal function. , 2001, Psychological review.

[17]  Malcolm W. Brown,et al.  Recognition memory: What are the roles of the perirhinal cortex and hippocampus? , 2001, Nature Reviews Neuroscience.

[18]  Michael Brady,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[19]  S. Stringer,et al.  A unified model of spatial and episodic memory , 2002, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[20]  A. Yonelinas The Nature of Recollection and Familiarity: A Review of 30 Years of Research , 2002 .

[21]  Stephen M. Smith,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[22]  S. Rossitti Introduction to Functional Magnetic Resonance Imaging, Principles and Techniques , 2002 .

[23]  S. Engel,et al.  Dynamics of the Hippocampus During Encoding and Retrieval of Face-Name Pairs , 2003, Science.

[24]  Emery N. Brown,et al.  Estimating a State-space Model from Point Process Observations Emery N. Brown , 2022 .

[25]  Michael I. Miller,et al.  Changes in hippocampal volume and shape across time distinguish dementia of the Alzheimer type from healthy aging☆ , 2003, NeuroImage.

[26]  C. Stark,et al.  Making Memories without Trying: Medial Temporal Lobe Activity Associated with Incidental Memory Formation during Recognition , 2003, The Journal of Neuroscience.

[27]  R. Clark,et al.  The medial temporal lobe. , 2004, Annual review of neuroscience.

[28]  Emery N Brown,et al.  Dynamic Analysis of Learning in Behavioral Experiments , 2004, The Journal of Neuroscience.

[29]  J. Knierim,et al.  Comparison of population coherence of place cells in hippocampal subfields CA1 and CA3 , 2004, Nature.

[30]  A. Treves,et al.  Distinct Ensemble Codes in Hippocampal Areas CA3 and CA1 , 2004, Science.

[31]  Inah Lee,et al.  A Double Dissociation between Hippocampal Subfields Differential Time Course of CA3 and CA1 Place Cells for Processing Changed Environments , 2004, Neuron.

[32]  Alain Trouvé,et al.  Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms , 2005, International Journal of Computer Vision.

[33]  Can Ceritoglu,et al.  Increasing the power of functional maps of the medial temporal lobe by using large deformation diffeomorphic metric mapping. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[34]  Michael I. Miller,et al.  Preclinical detection of Alzheimer's disease: hippocampal shape and volume predict dementia onset in the elderly , 2005, NeuroImage.

[35]  Emery N Brown,et al.  Behavioral / Systems / Cognitive Functional Magnetic Resonance Imaging Activity during the Gradual Acquisition and Expression of Paired-Associate Memory , 2005 .