Summary: Damage to the multiple demand network, a brain network associated with general intelligence, causes people with dementia to struggle to adapt to changes in their environment.
Source: University of Cambridge
People with dementia struggle to adapt to changes in their environment because of damage to areas of the brain known as “multiple demand networks,” highly-evolved areas of the brain that support general intelligence, say scientists at the University of Cambridge.
There are many different types of dementia, such as Alzheimer’s disease and frontotemporal dementia (FTD), which are characterized by the build-up of different toxic proteins in different parts of the brain. This means that the symptoms of dementia vary, and can include problems with memory, speech, behavior or vision. But one symptom seen across every type of dementia is a difficulty in responding to unexpected situations.
Dr. Thomas Cope from the MRC Cognition and Brain Science Unit and Department of Clinical Neurosciences at the University of Cambridge said, “At the heart of all dementias is one core symptom, which is that when things change or go unexpectedly, people find it very difficult. If people are in their own environment and everything is going to plan, then they are OK. But as soon as the kettle’s broken or they go somewhere new, they can find it very hard to deal with.”
To understand why this happens, Dr. Cope and colleagues analyzed data from 75 patients, all of whom were affected by one of four types of dementia that affect different areas of the brain. The patients, together with 48 healthy controls, listened to changing sounds while their brain activity was recorded by a magnetoencephalography machine, which measures the tiny magnetic fields produced by electrical currents in the brain. Unlike traditional MRI scanners, these machines allow very precise timing of what is happening in the brain and when.
The results of their experiment are published today in the Journal of Neuroscience.
During the scan, the volunteers watched a silent film—David Attenborough’s Planet Earth, but without its soundtrack—while listening to a series of beeps. The beeps occurred at a steady pattern, but occasionally a beep would be different, for example a higher pitch or different volume.
The team found that the unusual beep triggered two responses in the brain: an immediate response followed by a second response around 200 milliseconds—a fifth of a second—a later.
The initial response came from the basic auditory system, recognizing that it had heard a beep. This response was the same in the patients and healthy volunteers.
The second response, however, recognized that the beep was unusual. This response was much smaller among the people with dementia than among the healthy volunteers. In other words, in the healthy controls, the brain was better at recognizing that something had changed.
The researchers looked at which brain areas activated during the task and how they were connected up, and combined their data with that from MRI scans, which show the structure of the brain. They showed that damage to areas of the brain known as “multiple demand networks” was associated with a reduction in the later response.
Multiple demand networks, which are found both at the front and rear of the brain, are areas of the brain that do not have a specific task, but instead are involved in general intelligence—for example, problem solving. They are highly evolved, found only in humans, primates and more intelligent animals. It is these networks that allow us to be flexible in our environment.
In the healthy volunteers, the sound is picked up by the auditory system, which relays information to the multiple demand network to be processed and interpreted. The network then “reports back” to the auditory system, instructing it whether to carry on or to attend to the sound.
“There’s a lot of controversy about what exactly multiple demand networks do and how involved they are in our basic perception of the world,” said Dr. Cope. “There’s been an assumption that these intelligence networks work ‘above’ everything else, doing their own thing and just taking in information. But what we’ve shown is no, they’re fundamental to how we perceive the world.
“That’s why we can look at a picture and immediately pick out the faces and immediately pick out the relevant information, whereas somebody with dementia will look at that scene a bit more randomly and won’t immediately pick out what’s important.”
While the research does not point to any treatments that may alleviate the symptom, it reinforces advice given to dementia patients and their families, said Dr. Cope.
“The advice I give in my clinics is that you can help people who are affected by dementia by taking a lot more time to signpost changes, flagging to them that you’re going to start talking about something different or you’re going to do something different. And then repeat yourself more when there’s a change, and understand why it’s important to be patient as the brain recognizes the new situation.”
Although their study only looked at patients with dementia, the findings may explain similar phenomena experienced by people living with conditions such as schizophrenia, where brain networks can become disrupted.
See also
Dr. Cope is a fellow at Murray Edwards College, Cambridge.
About this dementia research news
Author: Press Office
Source: University of Cambridge
Contact: Press Office – University of Cambridge
Image: The image is in the public domain
Original Research: Closed access.
“Causal evidence for the multiple demand network in change detection: auditory mismatch magnetoencephalography across focal neurodegenerative diseases” by Thomas E. Cope et al. Journal of Neuroscience
Abstract
Causal evidence for the multiple demand network in change detection: auditory mismatch magnetoencephalography across focal neurodegenerative diseases
The multiple demand system is a network of fronto-parietal brain regions active during the organisation and control of diverse cognitive operations. It has been argued that this activation may be a non-specific signal of task difficulty. However, here we provide convergent evidence for a causal role for the multiple demand network in the ‘simple task’ of automatic auditory change detection, through the impairment of top-down control mechanisms.
We employ independent structure-function mapping, dynamic causal modelling, and frequency-resolved functional connectivity analyses of MRI and MEG from 75 mixed-sex human patients across four neurodegenerative syndromes (bvFTD, nfvPPA, PCA and AD-MCI) and 48 age-matched controls.
We show that atrophy of any multiple demand node is sufficient to impair auditory neurophysiological response to change in frequency, location, intensity, continuity or duration. There was no similar association with atrophy of the cingulo-opercular, salience or language networks, or with global atrophy. Multiple demand regions displayed increased functional but decreased effective connectivity as a function of neurodegeneration, suggesting ineffective compensation.
Overall, we show that damage to any of the nodes of the multiple demand network is sufficient to impair top-down control of sensation, providing a common mechanism for impaired change detection across dementia syndromes.
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