Tag Archives: Memory

McGill University study: AI could predict cognitive decline leading to Alzheimer’s disease in the next five years

7 Oct

The National Institute on Aging described Alzheimer’s disease in What Is Alzheimer’s Disease?:

Alzheimer’s disease is an irreversible, progressive brain disorder that slowly destroys memory and thinking skills and, eventually, the ability to carry out the simplest tasks. In most people with the disease—those with the late-onset type—symptoms first appear in their mid-60s. Early-onset Alzheimer’s occurs between a person’s 30s and mid-60s and is very rare. Alzheimer’s disease is the most common cause of dementia among older adults.
The disease is named after Dr. Alois Alzheimer. In 1906, Dr. Alzheimer noticed changes in the brain tissue of a woman who had died of an unusual mental illness. Her symptoms included memory loss, language problems, and unpredictable behavior. After she died, he examined her brain and found many abnormal clumps (now called amyloid plaques) and tangled bundles of fibers (now called neurofibrillary, or tau, tangles).
These plaques and tangles in the brain are still considered some of the main features of Alzheimer’s disease. Another feature is the loss of connections between nerve cells (neurons) in the brain. Neurons transmit messages between different parts of the brain, and from the brain to muscles and organs in the body. Many other complex brain changes are thought to play a role in Alzheimer’s, too.
This damage initially appears to take place in the hippocampus, the part of the brain essential in forming memories. As neurons die, additional parts of the brain are affected. By the final stage of Alzheimer’s, damage is widespread, and brain tissue has shrunk significantly.
How Many Americans Have Alzheimer’s Disease?
Estimates vary, but experts suggest that as many as 5.5 million Americans age 65 and older may have Alzheimer’s. Many more under age 65 also have the disease. Unless Alzheimer’s can be effectively treated or prevented, the number of people with it will increase significantly if current population trends continue. This is because increasing age is the most important known risk factor for Alzheimer’s disease.
What Does Alzheimer’s Disease Look Like?
Memory problems are typically one of the first signs of Alzheimer’s, though initial symptoms may vary from person to person. A decline in other aspects of thinking, such as finding the right words, vision/spatial issues, and impaired reasoning or judgment, may also signal the very early stages of Alzheimer’s disease. Mild cognitive impairment (MCI) is a condition that can be an early sign of Alzheimer’s, but not everyone with MCI will develop the disease.
People with Alzheimer’s have trouble doing everyday things like driving a car, cooking a meal, or paying bills. They may ask the same questions over and over, get lost easily, lose things or put them in odd places, and find even simple things confusing. As the disease progresses, some people become worried, angry, or violent…. https://www.nia.nih.gov/health/what-alzheimers-disease

Artificial Intelligence (AI) might provide clues to the early detection of Alzheimer’s.

Live Science described AI in What Is Artificial Intelligence?:

One of the standard textbooks in the field, by University of California computer scientists Stuart Russell and Google’s director of research, Peter Norvig, puts artificial intelligence in to four broad categories:
The differences between them can be subtle, notes Ernest Davis, a professor of computer science at New York University. AlphaGo, the computer program that beat a world champion at Go, acts rationally when it plays the game (it plays to win). But it doesn’t necessarily think the way a human being does, though it engages in some of the same pattern-recognition tasks. Similarly, a machine that acts like a human doesn’t necessarily bear much resemblance to people in the way it processes information.
• machines that think like humans,
• machines that act like humans,
• machines that think rationally,
• machines that act rationally.

Even IBM’s Watson, which acted somewhat like a human when playing Jeopardy, wasn’t using anything like the rational processes humans use.
Tough tasks
Davis says he uses another definition, centered on what one wants a computer to do. “There are a number of cognitive tasks that people do easily — often, indeed, with no conscious thought at all — but that are extremely hard to program on computers. Archetypal examples are vision and natural language understanding. Artificial intelligence, as I define it, is the study of getting computers to carry out these tasks,” he said….
Computer vision has made a lot of strides in the past decade — cameras can now recognize faces Other tasks, though, are proving tougher. For example, Davis and NYU psychology professor Gary Marcus wrote in the Communications of the Association for Computing Machinery of “common sense” tasks that computers find very difficult. A robot serving drinks, for example, can be programmed to recognize a request for one, and even to manipulate a glass and pour one. But if a fly lands in the glass the computer still has a tough time deciding whether to pour the drink in and serve it (or not).

Common sense
The issue is that much of “common sense” is very hard to model. Computer scientists have taken several approaches to get around that problem. IBM’s Watson, for instance, was able to do so well on Jeopardy! because it had a huge database of knowledge to work with and a few rules to string words together to make questions and answers. Watson, though, would have a difficult time with a simple open-ended conversation.
Beyond tasks, though, is the issue of learning. Machines can learn, said Kathleen McKeown, a professor of computer science at Columbia University. “Machine learning is a kind of AI,” she said.
Some machine learning works in a way similar to the way people do it, she noted. Google Translate, for example, uses a large corpus of text in a given language to translate to another language, a statistical process that doesn’t involve looking for the “meaning” of words. Humans, she said, do something similar, in that we learn languages by seeing lots of examples.
That said, Google Translate doesn’t always get it right, precisely because it doesn’t seek meaning and can sometimes be fooled by synonyms or differing connotations….
The upshot is AIs that can handle certain tasks well exist, as do AIs that look almost human because they have a large trove of data to work with. Computer scientists have been less successful coming up with an AI that can think the way we expect a human being to, or to act like a human in more than very limited situations…. https://www.livescience.com/55089-artificial-intelligence.html

AI might prove useful in diagnosing cognitive decline leading to Alzheimer’s.

Science Daily reported in AI could predict cognitive decline leading to Alzheimer’s disease in the next five years:

A team of scientists has successfully trained a new artificial intelligence (AI) algorithm to make accurate predictions regarding cognitive decline leading to Alzheimer’s disease.
Dr. Mallar Chakravarty, a computational neuroscientist at the Douglas Mental Health University Institute, and his colleagues from the University of Toronto and the Centre for Addiction and Mental Health, designed an algorithm that learns signatures from magnetic resonance imaging (MRI), genetics, and clinical data. This specific algorithm can help predict whether an individual’s cognitive faculties are likely to deteriorate towards Alzheimer’s in the next five years.
“At the moment, there are limited ways to treat Alzheimer’s and the best evidence we have is for prevention. Our AI methodology could have significant implications as a ‘doctor’s assistant’ that would help stream people onto the right pathway for treatment. For example, one could even initiate lifestyle changes that may delay the beginning stages of Alzheimer’s or even prevent it altogether,” says Chakravarty, an Assistant Professor in McGill University’s Department of Psychiatry.
The findings, published in PLOS Computational Biology, used data from the Alzheimer’s Disease NeuroImaging Initiative. The researchers trained their algorithms using data from more than 800 people ranging from normal healthy seniors to those experiencing mild cognitive impairment, and Alzheimer’s disease patients. They replicated their results within the study on an independently collected sample from the Australian Imaging and Biomarkers Lifestyle Study of Ageing.
Can the predictions be improved with more data?
“We are currently working on testing the accuracy of predictions using new data. It will help us to refine predictions and determine if we can predict even farther into the future,” says Chakravarty. With more data, the scientists would be able to better identify those in the population at greatest risk for cognitive decline leading to Alzheimer’s.
According to the Alzheimer Society of Canada, 564,000 Canadians had Alzheimer’s or another form of dementia in 2016. The figure will rise to 937,000 within 15 years.
Worldwide, around 50million people have dementia and the total number is projected to reach 82million in 2030 and 152 in 2050, according to the World Health Organization. Alzheimer’s disease, the most common form of dementia, may contribute to 60-70% of cases. Presently, there is no truly effective treatment for this disease…. https://www.sciencedaily.com/releases/2018/10/181004155421.htm

Citation:

AI could predict cognitive decline leading to Alzheimer’s disease in the next five years
Algorithms may help doctors stream people onto prevention path sooner
Date: October 4, 2018
Source: McGill University
Summary:
A team of scientists has successfully trained a new artificial intelligence (AI) algorithm to make accurate predictions regarding cognitive decline leading to Alzheimer’s disease.

Journal Reference:
Nikhil Bhagwat, Joseph D. Viviano, Aristotle N. Voineskos, M. Mallar Chakravarty. Modeling and prediction of clinical symptom trajectories in Alzheimer’s disease using longitudinal data. PLOS Computational Biology, 2018; 14 (9): e1006376 DOI: 10.1371/journal.pcbi.1006376

Here is the press release from McGill University:

AI Could Predict Cognitive Decline Leading to Alzheimer’s Disease in the Next 5 Years
News
Algorithms may help doctors stream people onto prevention path sooner
PUBLISHED: 4OCT2018
A team of scientists has successfully trained a new artificial intelligence (AI) algorithm to make accurate predictions regarding cognitive decline leading to Alzheimer’s disease.
Dr. Mallar Chakravarty, a computational neuroscientist at the Douglas Mental Health University Institute, and his colleagues from the University of Toronto and the Centre for Addiction and Mental Health, designed an algorithm that learns signatures from magnetic resonance imaging (MRI), genetics, and clinical data. This specific algorithm can help predict whether an individual’s cognitive faculties are likely to deteriorate towards Alzheimer’s in the next five years.
“At the moment, there are limited ways to treat Alzheimer’s and the best evidence we have is for prevention. Our AI methodology could have significant implications as a ‘doctor’s assistant’ that would help stream people onto the right pathway for treatment. For example, one could even initiate lifestyle changes that may delay the beginning stages of Alzheimer’s or even prevent it altogether,” says Chakravarty, an Assistant Professor in McGill University’s Department of Psychiatry.
The findings, published in PLOS Computational Biology, used data from the Alzheimer’s Disease NeuroImaging Initiative. The researchers trained their algorithms using data from more than 800 people ranging from normal healthy seniors to those experiencing mild cognitive impairment, and Alzheimer’s disease patients. They replicated their results within the study on an independently collected sample from the Australian Imaging and Biomarkers Lifestyle Study of Ageing.
Can the predictions be improved with more data?
“We are currently working on testing the accuracy of predictions using new data. It will help us to refine predictions and determine if we can predict even farther into the future,” says Chakravarty. With more data, the scientists would be able to better identify those in the population at greatest risk for cognitive decline leading to Alzheimer’s.
According to the Alzheimer Society of Canada, 564,000 Canadians had Alzheimer’s or another form of dementia in 2016. The figure will rise to 937,000 within 15 years.
Worldwide, around 50million people have dementia and the total number is projected to reach 82million in 2030 and 152 in 2050, according to the World Health Organization. Alzheimer’s disease, the most common form of dementia, may contribute to 60–70% of cases. Presently, there is no truly effective treatment for this disease.

This work was funded by the Canadian Institutes of Health Research, the Natural Sciences andEngineering Research Council of Canada, the Fonds de recherche du Québec—Santé, Weston Brain Institute, Michael J. Fox Foundation for Parkinson’s Research, Alzheimer’s Society, Brain Canada, and the McGill University Healthy Brains for Healthy Lives – Canada First Research Excellence Fund.
The article “Modeling and prediction of clinical symptom trajectories in Alzheimer’s disease” was published in PLOS Computational Biology
For information and interviews
Bruno Geoffroy
Press Information Officer – Media Relations Office
CIUSSS de l’Ouest-de-l’Île-de-Montréal (Douglas Mental Health University Institute)
Tel.: 514-630-2225, ext. 5257 //relations.medias.comtl [at] ssss.gouv.qc.ca”>relations.medias.comtl@ssss.gouv.qc.ca

Alzheimer’s and Dementia Alliance of Wisconsin described why early detection is important:

Early diagnosis is key.
There are at least a dozen advantages to obtaining an early and accurate diagnosis when cognitive symptoms are first noticed.
1. Your symptoms might be reversible.
The symptoms you are concerned about might be caused by a condition that is reversible. And even if there is also an underlying dementia such as Alzheimer’s disease, diagnosis and treatment of reversible conditions can improve brain function and reduce symptoms.

2. It may be treatable.
Some causes of cognitive decline are not reversible, but might be treatable. Appropriate treatment can stop or slow the rate of further decline.
3. With treatments, the sooner the better.
Treatment of Alzheimer’s and other dementia-causing diseases is typically most effective when started early in the disease process. Once more effective treatments become available, obtaining an early and accurate diagnosis will be even more crucial.

4. Diagnoses are more accurate early in the disease process.
A more accurate diagnosis is possible when a complete history can be taken early in the disease process, while the person is still able to answer questions and report concerns and when observers can still recall the order in which symptoms first appeared. Obtaining an accurate diagnosis can be difficult once most of the brain has become affected.
5. It’s empowering.
An earlier diagnosis enables the person to participate in their own legal, financial, and long-term care planning and to make their wishes known to family members.
6. You can focus on what’s important to you.
It allows the person the opportunity to reprioritize how they spend their time – focusing on what matters most to them – perhaps completing life goals such as travel, recording family history, completing projects, or making memories with grandchildren while they still can.
7. You can make your best choices.
Early diagnosis can prevent unwise choices that might otherwise be made in ignorance – such as moving far away from family and friends, or making legal or financial commitments that will be hard to keep as the disease progresses.
8. You can use the resources available to you.
Individuals diagnosed early in the disease process can take advantage of early-stage support groups and learn tips and strategies to better manage and cope with the symptoms of the disease.
9. Participate or advocate for research.
Those diagnosed early can also take advantage of clinical trials – or advocate for more research and improved care and opportunities.
10. You can further people’s understanding of the disease.
Earlier diagnosis helps to reduce the stigma associated with the disease when we learn to associate the disease with people in the early stages, when they are still cogent and active in the community.
11. It will help your family.
An earlier diagnosis gives families more opportunity to learn about the disease, develop realistic expectations, and plan for their future together – which can result in reduced stress and feelings of burden and regret later in the disease process.
12. It will help you, too.
Early diagnosis allows the person and family to attribute cognitive changes to the disease rather than to personal failings – preserving the person’s ego throughout the disease process….                             https://alzwisc.org/Importance%20of%20an%20early%20diagnosis.htm

AI’s role in treatment of Alzheimer’s is an example of better living through technology.

Resources:
What Is Alzheimer’s?                                                                            https://www.alz.org/alzheimers-dementia/what-is-alzheimers

Understanding Alzheimer’s Disease: the Basics https://www.webmd.com/alzheimers/guide/understanding-alzheimers-disease-basics

What’s to know about Alzheimer’s disease? https://www.medicalnewstoday.com/articles/159442.php

Alzheimer’s Disease                                         https://www.cdc.gov/aging/aginginfo/alzheimers.htm

What is Artificial Intelligence? https://www.computerworld.com/article/2906336/emerging-technology/what-is-artificial-intelligence.html

Artificial Intelligence: What it is and why it matters https://www.sas.com/en_us/insights/analytics/what-is-artificial-intelligence.html
Brain                                                                                                            https://drwilda.com/tag/brain/

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Concordia University study: Long-term benefits of improving your toddler’s memory skills

15 Jan

MedicineNet.com defines working memory in the article, Definition of Working memory:

Working memory is a system for temporarily storing and managing the information required to carry out complex cognitive tasks such as learning, reasoning, and comprehension. Working memory is involved in the selection, initiation, and termination of information-processing functions such as encoding, storing, and retrieving data.
One test of working memory is memory span, the number of items, usually words or numbers, that a person can hold onto and recall. In a typical test of memory span, an examiner reads a list of random numbers aloud at about the rate of one number per second. At the end of a sequence, the person being tested is asked to recall the items in order. The average memory span for normal adults is 7 items. http://www.medterms.com/script/main/art.asp?articlekey=7143

The University of Pennsylvania researchers studied working memory in a longitudinal study. See, Penn and CHOP Researchers Track Working Memory From Childhood Through Adolescence http://www.upenn.edu/pennnews/news/penn-and-chop-researchers-track-working-memory-childhood-through-adolescence

Science Daily reported in Early intervention: New research shows that preschoolers with poor short-term recall are more at risk of dropping out of high school:

If your toddler is a Forgetful Jones, you might want to help boost his or her brainpower sooner rather than later. New research shows that preschoolers who score lower on a memory task are likely to score higher on a dropout risk scale at the age of 12.
“Identifying students who are at risk of eventually dropping out of high school is an important step in preventing this social problem,” says Caroline Fitzpatrick, first author of a study recently published in Intelligence, and a researcher at Concordia’s PERFORM Centre.

She and the study’s other researchers, who are affiliated with the Université Sainte-Anne and Université de Montréal, have suggestions for how parents can help kids improve their memory.

The study examines responses from 1,824 children at age two and a half, and then at three and a half. That data is then compared to the school-related attitudes and results of these children when they hit grade seven.

Results were clear: those that do better on a memory-testing imitation sorting task during toddlerhood are more likely to perform better in school later on — and therefore more likely to stay in school. The imitation sorting task is specifically effective in measuring working memory, which can be compared to a childs mental workspace.

“Our results suggest that early individual differences in working memory may contribute to developmental risk for high school dropout, as calculated from student engagement in school, grade point average and whether or not they previously repeated a year in school,” says Fitzpatrick.

“When taken together, those factors can identify which 12 year olds are likely to fail to complete high school by the age of 21.”
Help at home

“Preschoolers can engage in pretend play with other children to help them practise their working memory, since this activity involves remembering their own roles and the roles of others,” says Linda Pagani of the Université de Montréal, co-senior author.
“Encouraging mindfulness in children by helping them focus on their moment-to-moment experiences also has a positive effect on working memory….” http://www.sciencedaily.com/releases/2016/01/160112125425.htm

Citation:

Long-term benefits of improving your toddler’s memory skills
Early intervention: New research shows that preschoolers with poor short-term recall are more at risk of dropping out of high school
Date: January 12, 2016

Source: Concordia University

Summary:
Preschoolers who score lower on a memory task are likely to score higher on a dropout risk scale at the age of 12, new research shows. In a new article, the authors offer suggestions for how parents can help kids improve their kid’s memory.

Journal Reference:
1. Caroline Fitzpatrick, Isabelle Archambault, Michel Janosz, Linda S. Pagani. Early childhood working memory forecasts high school dropout risk. Intelligence, 2015; 53: 160 DOI: 10.1016/j.intell.2015.10.002

Here is the press release from Concordia University:

The long-term benefits of improving your toddler’s memory skills

Early intervention: a researcher at Concordia’s PERFORM Centre finds that preschoolers with poor short-term recall are more at risk of dropping out of high school

Montreal, January 12, 2016 — If your toddler is a Forgetful Jones, you might want to help boost his or her brainpower sooner rather than later. New research shows that preschoolers who score lower on a memory task are likely to score higher on a dropout risk scale at the age of 12.

“Identifying students who are at risk of eventually dropping out of high school is an important step in preventing this social problem,” says Caroline Fitzpatrick, first author of a study recently published in Intelligence, and a researcher at Concordia’sPERFORM Centre.
She and the study’s other researchers, who are affiliated with the Université Sainte-Anne and Université de Montréal, have suggestions for how parents can help kids improve their memory.

The study examines responses from 1,824 children at age two and a half, and then at three and a half. That data is then compared to the school-related attitudes and results of these children when they hit grade seven.

Results were clear: those that do better on a memory-testing imitation sorting task during toddlerhood are more likely to perform better in school later on — and therefore more likely to stay in school. The imitation sorting task is specifically effective in measuring working memory, which can be compared to a childs mental workspace.

“Our results suggest that early individual differences in working memory may contribute to developmental risk for high school dropout, as calculated from student engagement in school, grade point average and whether or not they previously repeated a year in school,” says Fitzpatrick.

“When taken together, those factors can identify which 12 year olds are likely to fail to complete high school by the age of 21.”
Help at home

“Preschoolers can engage in pretend play with other children to help them practise their working memory, since this activity involves remembering their own roles and the roles of others,” says Linda Pagani of the Université de Montréal, co-senior author.
“Encouraging mindfulness in children by helping them focus on their moment-to-moment experiences also has a positive effect on working memory.”

Pagani also notes that breathing exercises and guided meditation can be practised with preschool and elementary school children. In older kids, vigorous aerobic activity such as soccer, basketball and jumping rope have all been shown to have beneficial effects on concentration and recall.

The researchers note that another promising strategy for improving working memory in children is to limit screen time — video games, smartphones, tablets and television — which can undermine cognitive control and take time away from more enriching pursuits.
“Our findings underscore the importance of early intervention,” says Fitzpatick.

“Parents can help their children develop strong working memory skills at home, and this can have a positive impact on school performance later in life.”

Partners in research: First author Caroline Fitzpatrick is a researcher at Concordia’s PERFORM Centre and a professor of psychology at Université Sainte-Anne. Co-senior author Linda Pagani is a professor at the École de Psychoéducation at the Université de Montréal and a researcher at the Centre de recherche du CHU Sainte-Justine. The study was conducted and supported by the Groupe de recherche sur les environnements scolaires.

Source
Cléa Desjardins
Senior Advisor
Media Relations
514-848-2424 ext. 5068
clea.desjardins@concordia.ca
@CleaDesjardins

Parents can help foster curious kids.

Justin Coulson writes in the article, Raising smart, curious children:

Parents can do several things that will foster curiosity and a love of learning in their children, and help them grow up intellectually stimulated and successful.
• Model a love of learning. Be seen reading, finding answers, and discovering things yourself. Your children will watch and learn from you.
• Embrace the motto “we try new things”. Whether it is a new meal, a new sport, a new holiday destination, or a new way of cleaning the house, let your children know that you want to try new things and discover things you previously did not know much about.
• Teach your children to find answers. When your children ask you a question, rather than answering them directly encourage them to find out for themselves. Point them to references, the Internet, or other useful sources.
• Ask questions. If your child is curious about something, find out why. Encourage discussion. Find out what s/he knows already. When your child makes a statement (about anything) you can ask “why” and have an interesting conversation. Your demonstration of curiosity can be a terrific example to your children
• Be willing to talk. It is often easy for a parent to say “I’ll tell you later”, or “Not now, I’m busy.” Such responses will dampen the enthusiasm and curiosity a child has for a subject. Be being available, your child will be able to pursue a love of learning and all you have to do is facilitate it.
• Provide tools for learning by visiting the library, buying books from the shops, and having access to the Internet available for appropriate learning activities.
• Eliminate the use of rewards for learning. Research shows that the more we reward someone for a task, the less interested they become in the task. When rewards are offered, people generally become more interested in the reward than in the process required to obtain the reward. Instead, encourage curiosity for its own sake….. http://www.kidspot.com.au/schoolzone/Study-tips-Raising-smart-curious-children+4165+304+article.htm

Education is a partnership and parents must help educators foster curiosity in children.

The important thing is not to stop questioning. Curiosity has its own reason for existing.
Albert Einstein

Resources:

How Can Teachers Foster Curiosity?                                                                             http://www.edweek.org/ew/articles/2014/06/04/33shonstrom.h33.html

How to Stimulate Curiosity
How to Stimulate Curiosity

Six ways to build greater curiosity in students
http://edge.ascd.org/blogpost/six-ways-to-build-greater-curiosity-in-students

How to Ignite Intellectual Curiosity in Students
http://www.edutopia.org/blog/igniting-student-curiousity-inquiry-method

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University of California Davis study: Curiosity changes the brain to enhance learning

6 Oct

MedicineNet.com defines working memory in the article, Definition of Working memory:

Working memory is a system for temporarily storing and managing the information required to carry out complex cognitive tasks such as learning, reasoning, and comprehension. Working memory is involved in the selection, initiation, and termination of information-processing functions such as encoding, storing, and retrieving data.
One test of working memory is memory span, the number of items, usually words or numbers, that a person can hold onto and recall. In a typical test of memory span, an examiner reads a list of random numbers aloud at about the rate of one number per second. At the end of a sequence, the person being tested is asked to recall the items in order. The average memory span for normal adults is 7 items. http://www.medterms.com/script/main/art.asp?articlekey=7143

The University of Pennsylvania researchers studied working memory in a longitudinal study. See, Penn and CHOP Researchers Track Working Memory From Childhood Through Adolescence http://www.upenn.edu/pennnews/news/penn-and-chop-researchers-track-working-memory-childhood-through-adolescence

Science Daily reported in the article, How curiosity changes the brain to enhance learning:

The more curious we are about a topic, the easier it is to learn information about that topic. New research publishing online October 2 in the Cell Press journal Neuron provides insights into what happens in our brains when curiosity is piqued. The findings could help scientists find ways to enhance overall learning and memory in both healthy individuals and those with neurological conditions.
“Our findings potentially have far-reaching implications for the public because they reveal insights into how a form of intrinsic motivation — curiosity — affects memory. These findings suggest ways to enhance learning in the classroom and other settings,” says lead author Dr. Matthias Gruber, of University of California at Davis.
For the study, participants rated their curiosity to learn the answers to a series of trivia questions. When they were later presented with a selected trivia question, there was a 14 second delay before the answer was provided, during which time the participants were shown a picture of a neutral, unrelated face. Afterwards, participants performed a surprise recognition memory test for the faces that were presented, followed by a memory test for the answers to the trivia questions. During certain parts of the study, participants had their brains scanned via functional magnetic resonance imaging.
The study revealed three major findings. First, as expected, when people were highly curious to find out the answer to a question, they were better at learning that information. More surprising, however, was that once their curiosity was aroused, they showed better learning of entirely unrelated information (face recognition) that they encountered but were not necessarily curious about. People were also better able to retain the information learned during a curious state across a 24-hour delay. “Curiosity may put the brain in a state that allows it to learn and retain any kind of information, like a vortex that sucks in what you are motivated to learn, and also everything around it,” explains Dr. Gruber.
Second, the investigators found that when curiosity is stimulated, there is increased activity in the brain circuit related to reward. “We showed that intrinsic motivation actually recruits the very same brain areas that are heavily involved in tangible, extrinsic motivation,” says Dr. Gruber. This reward circuit relies on dopamine, a chemical messenger that relays messages between neurons.
Third, the team discovered that when curiosity motivated learning, there was increased activity in the hippocampus, a brain region that is important for forming new memories, as well as increased interactions between the hippocampus and the reward circuit. “So curiosity recruits the reward system, and interactions between the reward system and the hippocampus seem to put the brain in a state in which you are more likely to learn and retain information, even if that information is not of particular interest or importance,” explains principal investigator Dr. Charan Ranganath, also of UC Davis.
The findings could have implications for medicine and beyond. For example, the brain circuits that rely on dopamine tend to decline in function as people get older, or sooner in people with neurological conditions. Understanding the relationship between motivation and memory could therefore stimulate new efforts to improve memory in the healthy elderly and to develop new approaches for treating patients with disorders that affect memory. And in the classroom or workplace, learning what might be considered boring material could be enhanced if teachers or managers are able to harness the power of students’ and workers’ curiosity about something they are naturally motivated to learn.
http://www.sciencedaily.com/releases/2014/10/141002123631.htm

Citation:

How curiosity changes the brain to enhance learning
Date: October 2, 2014
Source: Cell Press
Summary:
The more curious we are about a topic, the easier it is to learn information about that topic. New research provides insights into what happens in our brains when curiosity is piqued. The findings could help scientists find ways to enhance overall learning and memory in both healthy individuals and those with neurological conditions.
States of Curiosity Modulate Hippocampus-Dependent Learning via the Dopaminergic Circuit
Matthias J. Gruber ,
Bernard D. Gelman,
Charan Ranganath
DOI: http://dx.doi.org/10.1016/j.neuron.2014.08.060
To view the full text, please login as a subscribed user or purchase a subscription. Click here to view the full text on ScienceDirect.
Highlights
• •People are better at learning information that they are curious about
• •Memory for incidental material presented during curious states was also enhanced
• •Curiosity associated with anticipatory activity in nucleus accumbens and midbrain
• •Memory benefits for incidental material depend on midbrain-hippocampus involvement
Summary
People find it easier to learn about topics that interest them, but little is known about the mechanisms by which intrinsic motivational states affect learning. We used functional magnetic resonance imaging to investigate how curiosity (intrinsic motivation to learn) influences memory. In both immediate and one-day-delayed memory tests, participants showed improved memory for information that they were curious about and for incidental material learned during states of high curiosity. Functional magnetic resonance imaging results revealed that activity in the midbrain and the nucleus accumbens was enhanced during
states of high curiosity. Importantly, individual variability in curiosity-driven memory benefits for incidental material was supported by anticipatory activity in the midbrain and hippocampus and by functional connectivity between these regions. These findings suggest a link between the mechanisms supporting extrinsic reward motivation and intrinsic curiosity and highlight the importance of stimulating curiosity to create more effective learning experiences.

Here is the press release from Cell Press Journal:

PUBLIC RELEASE DATE:
2-Oct-2014
Contact: Mary Beth O’Leary
moleary@cell.com
617-397-2802
Cell Press
@CellPressNews
How curiosity changes the brain to enhance learning
The more curious we are about a topic, the easier it is to learn information about that topic. New research publishing online October 2 in the Cell Press journal Neuron provides insights into what happens in our brains when curiosity is piqued. The findings could help scientists find ways to enhance overall learning and memory in both healthy individuals and those with neurological conditions.
“Our findings potentially have far-reaching implications for the public because they reveal insights into how a form of intrinsic motivation—curiosity—affects memory. These findings suggest ways to enhance learning in the classroom and other settings,” says lead author Dr. Matthias Gruber, of University of California at Davis.
For the study, participants rated their curiosity to learn the answers to a series of trivia questions. When they were later presented with a selected trivia question, there was a 14 second delay before the answer was provided, during which time the participants were shown a picture of a neutral, unrelated face. Afterwards, participants performed a surprise recognition memory test for the faces that were presented, followed by a memory test for the answers to the trivia questions. During certain parts of the study, participants had their brains scanned via functional magnetic resonance imaging.
The study revealed three major findings. First, as expected, when people were highly curious to find out the answer to a question, they were better at learning that information. More surprising, however, was that once their curiosity was aroused, they showed better learning of entirely unrelated information (face recognition) that they encountered but were not necessarily curious about. People were also better able to retain the information learned during a curious state across a 24-hour delay. “Curiosity may put the brain in a state that allows it to learn and retain any kind of information, like a vortex that sucks in what you are motivated to learn, and also everything around it,” explains Dr. Gruber.
Second, the investigators found that when curiosity is stimulated, there is increased activity in the brain circuit related to reward. “We showed that intrinsic motivation actually recruits the very same brain areas that are heavily involved in tangible, extrinsic motivation,” says Dr. Gruber. This reward circuit relies on dopamine, a chemical messenger that relays messages between neurons.
Third, the team discovered that when curiosity motivated learning, there was increased activity in the hippocampus, a brain region that is important for forming new memories, as well as increased interactions between the hippocampus and the reward circuit. “So curiosity recruits the reward system, and interactions between the reward system and the hippocampus seem to put the brain in a state in which you are more likely to learn and retain information, even if that information is not of particular interest or importance,” explains principal investigator Dr. Charan Ranganath, also of UC Davis.
The findings could have implications for medicine and beyond. For example, the brain circuits that rely on dopamine tend to decline in function as people get older, or sooner in people with neurological conditions. Understanding the relationship between motivation and memory could therefore stimulate new efforts to improve memory in the healthy elderly and to develop new approaches for treating patients with disorders that affect memory. And in the classroom or workplace, learning what might be considered boring material could be enhanced if teachers or managers are able to harness the power of students’ and workers’ curiosity about something they are naturally motivated to learn.
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Neuron, Gruber et al.: “States of curiosity modulate hippocampus-dependent learning via the dopaminergic circuit.”

Parents can help foster curious kids.

Justin Coulson writes in the article, Raising smart, curious children:

Parents can do several things that will foster curiosity and a love of learning in their children, and help them grow up intellectually stimulated and successful.
• Model a love of learning. Be seen reading, finding answers, and discovering things yourself. Your children will watch and learn from you.
• Embrace the motto “we try new things”. Whether it is a new meal, a new sport, a new holiday destination, or a new way of cleaning the house, let your children know that you want to try new things and discover things you previously did not know much about.
• Teach your children to find answers. When your children ask you a question, rather than answering them directly encourage them to find out for themselves. Point them to references, the Internet, or other useful sources.
• Ask questions. If your child is curious about something, find out why. Encourage discussion. Find out what s/he knows already. When your child makes a statement (about anything) you can ask “why” and have an interesting conversation. Your demonstration of curiosity can be a terrific example to your children
• Be willing to talk. It is often easy for a parent to say “I’ll tell you later”, or “Not now, I’m busy.” Such responses will dampen the enthusiasm and curiosity a child has for a subject. Be being available, your child will be able to pursue a love of learning and all you have to do is facilitate it.
• Provide tools for learning by visiting the library, buying books from the shops, and having access to the Internet available for appropriate learning activities.
• Eliminate the use of rewards for learning. Research shows that the more we reward someone for a task, the less interested they become in the task. When rewards are offered, people generally become more interested in the reward than in the process required to obtain the reward. Instead, encourage curiosity for its own sake….. http://www.kidspot.com.au/schoolzone/Study-tips-Raising-smart-curious-children+4165+304+article.htm

Education is a partnership and parents must help educators foster curiosity in children.

The important thing is not to stop questioning. Curiosity has its own reason for existing.
Albert Einstein

Resources:

How Can Teachers Foster Curiosity? http://www.edweek.org/ew/articles/2014/06/04/33shonstrom.h33.html

How to Stimulate Curiosity http://ideas.time.com/2013/04/15/how-to-stimulate-curiosity/

Six ways to build greater curiosity in students http://edge.ascd.org/blogpost/six-ways-to-build-greater-curiosity-in-students

How to Ignite Intellectual Curiosity in Students http://www.edutopia.org/blog/igniting-student-curiousity-inquiry-method

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