|Brain: Entorhinal cortex|
Medial surface. (Entorhinal cortex approximately maps to areas 28 and 34, at lower left.)
Medial surface of right hemisphere. Entorhinal cortex visible at near bottom.
|Part of||Temporal lobe|
The entorhinal cortex (EC) (ento = interior, rhino = nose, entorhinal = interior to the rhinal sulcus) is an area of the brain located in the medial temporal lobe and functioning as a hub in a widespread network for memory and navigation. The EC is the main interface between the hippocampus and neocortex. The EC-hippocampus system plays an important role in autobiographical/declarative/episodic memories and in particular spatial memories including memory formation, memory consolidation, and memory optimization in sleep. The EC is also responsible for the pre-processing (familiarity) of the input signals in the reflex nictitating membrane response of classical trace conditioning, the association of impulses from the eye and the ear occurs in the entorhinal cortex.
In rodents, the EC is located at the caudal end of the temporal lobe. In primates it is located at the rostral end of the temporal lobe and stretches dorsolaterally. It is usually divided into medial (anatomy) and lateral regions with three bands with distinct properties and connectivity running perpendicular across the whole area. A distinguishing characteristic of the EC is the lack of cell bodies where layer IV should be; this layer is called the lamina dissecans.
Inputs and outputs
The superficial layers - layers II and III - of EC project to the dentate gyrus and hippocampus: Layer II projects primarily to dentate gyrus and hippocampal region CA3; layer III projects primarily to hippocampal region CA1 and the subiculum. These layers receive input from other cortical areas, especially associational, perirhinal, and parahippocampal cortices, as well as prefrontal cortex. EC as a whole, therefore, receives highly-processed input from every sensory modality, as well as input relating to ongoing cognitive processes, though it should be stressed that, within EC, this information remains at least partially segregated.
The deep layers, especially layer V, receive one of the three main outputs of the hippocampus and, in turn, reciprocate connections from other cortical areas that project to superficial EC.
The rodent entorhinal cortex shows a modular organization, with different properties and connections in different areas.
Neuron information processing
In 2005, it was discovered that entorhinal cortex contains a neural map of the spatial environment in rats.
Neurons in the lateral entorhinal cortex exhibit little spatial selectivity, whereas neurons of the medial entorhinal cortex (MEA), exhibit multiple "place fields" that are arranged in an hexagonal pattern, and are, therefore, called "grid cells". These fields and spacing between fields increase from the dorso-lateral MEA to the ventro-medial MEA.
Single-unit recording of neurons in humans playing video games find path cells in the EC, the activity of which indicates whether a person is taking a clockwise or counterclockwise path. Such EC "direction" path cells show this directional activity irrespective of the location of where a person experiences themselves, which contrasts them to place cells in the hippocampus, which are activated by specific locations.
EC neurons process general information such as directional activity in the environment, which contrasts to that of the hippocampal neurons, which usually encode information about specific places. This suggests that EC encodes general properties about current contexts that are then used by hippocampus to create unique representations from combinations of these properties.
The entorhinal cortex is one of the first areas to be affected in Alzheimer's Disease.
In 2012, neuroscientists at UCLA conducted an experiment using a virtual taxi video game connected to seven epilepsy patients with electrodes already implanted in their brains, allowing the researchers to monitor neuronal activity whenever memories were being formed. As the researchers stimulated the nerve fibers of each of the patients' entorhinal cortex as they were learning, they were then able to better navigate themselves through various routes and recognize landmarks more quickly. This signified an improvement in the patients' spatial memory.
With over 30 million people worldwide today suffering Alzheimer's Disease each year, the study at UCLA helped discover that ongoing stimulation of the entorhinal cortex wasn't a necessary means to boost one's memory. Instead, it was found more effective when only trying to learn important information. This discovery provides evidence for a possible mechanism that could enhance memory.
- Brodmann area 28 is known as the "area entorhinalis"
- Brodmann area 34 is known as the "area entorhinalis dorsalis"
- Hafting T, Fyhn M, Molden S, Moser M, Moser E (2005). "Microstructure of a spatial map in the entorhinal cortex". Nature 436 (7052): 801–6. Bibcode:2005Natur.436..801H. doi:10.1038/nature03721. PMID 15965463.
- Hargreaves E, Rao G, Lee I, Knierim J (2005). "Major dissociation between medial and lateral entorhinal input to dorsal hippocampus". Science 308 (5729): 1792–4. Bibcode:2005Sci...308.1792H. doi:10.1126/science.1110449. PMID 15961670.
- Fyhn M, Molden S, Witter M, Moser E, Moser M (2004). "Spatial representation in the entorhinal cortex". Science 305 (5688): 1258–64. Bibcode:2004Sci...305.1258F. doi:10.1126/science.1099901. PMID 15333832.
- Jacobs J, Kahana MJ, Ekstrom AD, Mollison MV, Fried I (2010). "A sense of direction in human entorhinal cortex". Proc Natl Acad Sci U S A 107 (14): 6487–6492. Bibcode:2010PNAS..107.6487J. doi:10.1073/pnas.0911213107. PMC 2851993. PMID 20308554.
- Suthana, N.; Haneef, Z.; Stern, J.; Mukamel, R.; Behnke, E.; Knowlton, B.; Fried, I. (2012). "Memory Enhancement and Deep-Brain Stimulation of the Entorhinal Area". New England Journal of Medicine. doi:10.1056/NEJMoa1107212.
For delineating the Entorhinal cortex, see Desikan RS, Ségonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D, Buckner RL, Dale AM, Maguire RP, Hyman BT, Albert MS, Killiany RJ. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage. 2006 Jul 1;31(3):968-80.