Reliving and sharing our personal past is part of what makes us human. It creates a sense of who we are, allows us to plan for the future and helps us form relationships. But we don’t all remember our past in the same way. In fact, the nature and quality of memory differs considerably between people.
For instance, when asked to remember something about a party, one person might describe vividly their sixth birthday: how the gifts were laid out, the sweet, chocolatey taste of the hedgehog cake and going to bed really late. Another person might not recall this precise detail, but remember that their aunt despised parties and that hedgehog cakes were massive in the 80s.
So, our personal memories contain different types of information. Some of this is very specific about when and where things happened – and what it felt like. This collection of personal experiences is known as “episodic memory”. Other bits are general facts about the world, ourselves and the people we know. This is called “semantic memory”. A big question in neuroscience is whether these two memory types involve distinct parts of the brain.
Individuals who have suffered damage to a region called the hippocampus (involved in memory, learning and emotion) have been found to remember facts about their lives but lack the high-resolution, episodic detail. On the other hand, patients with a rare form of dementia, known as semantic dementia, can remember episodic information, but not the facts that glue it all together. Intriguingly, these individuals show early degeneration of another part of the brain called the anterior temporal lobe (thought to be critical for semantic memory).
Networks versus areas
But can we see a similar distinction in the healthy brain? As reflecting on our past is highly complex, it seems likely that different brain regions must work together to achieve it. And studies using functional MRI have shown that personal memories activate large networks in the brain.
So it appears that memory cannot be boiled down to one or two particular brain areas. We have to think more widely than that. The brain itself is made up of both grey and white tissue. The white part, known as “white matter”, contains fibres that allow information to travel between different areas of the brain. So could these connections themselves predict how we remember?
In our latest study, published in the journal Cortex, we explored this question by using a brain scanning technique known as diffusion MRI. This method uses the movement of water molecules to map out the brain’s white matter pathways.
We asked 27 college-aged volunteers to lie still in the scanner as we collected images of their brains. Using these images we could identify specific pathways and pull out measures their structure – indicating how efficiently information can travel between connected regions.
We found that the amount of rich, episodic detail that volunteers remembered was related to the connectivity of an arch-shaped white matter pathway called the fornix, which links to the hippocampus. So, the more efficiently the fornix can relay information from the hippocampus to surrounding regions, the more episodic someone’s memory is.
Wired for memory
These findings suggest that differences in how we each remember our past are reflected in how our brains are wired. Historically, neuroscience has tended to see brain regions as singletons, working alone. These results suggest the alternative: that links between regions – and the networks they form – are critical for how we think and behave.
Our finding also supports the idea that there are separate memory “systems” in the brain. One for reliving time and place and another for pulling in general knowledge and personal facts.
There’s plenty we still don’t know about the brain’s white matter. A number of properties can affect how information travels along it, such as the density of fibres. In the future, we can use new and powerful scanning techniques to uncover the parts of white matter that drive these fascinating effects.
Carl J Hodgetts, Research Fellow in Cognitive Neuroscience, Cardiff University
This article was originally published on The Conversation. Read the original article.