How Dogs Love Us: A Neuroscientist and His Adopted Dog Decode the Canine Brain

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Overview

The powerful bond between humans and dogs is one that’s uniquely cherished. Loyal, obedient, and affectionate, they are truly “man’s best friend.” But do dogs love us the way we love them? Emory University neuroscientist Gregory Berns had spent decades using MRI imaging technology to study how the human brain works, but a different question still nagged at him: What is my dog thinking?

After his family adopted Callie, a shy, skinny terrier mix, Berns decided that there was only ...

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Overview

The powerful bond between humans and dogs is one that’s uniquely cherished. Loyal, obedient, and affectionate, they are truly “man’s best friend.” But do dogs love us the way we love them? Emory University neuroscientist Gregory Berns had spent decades using MRI imaging technology to study how the human brain works, but a different question still nagged at him: What is my dog thinking?

After his family adopted Callie, a shy, skinny terrier mix, Berns decided that there was only one way to answer that question — use an MRI machine to scan the dog’s brain. His colleagues dismissed the idea. Everyone knew that dogs needed to be restrained or sedated for MRI scans. But if the military could train dogs to operate calmly in some of the most challenging environments, surely there must be a way to train dogs to sit in an MRI scanner.

With this radical conviction, Berns and his dog would embark on a remarkable journey and be the first to glimpse the inner workings of the canine brain. Painstakingly, the two worked together to overcome the many technical, legal, and behavioral hurdles. Berns’s research offers surprising results on how dogs empathize with human emotions, how they love us, and why dogs and humans share one of the most remarkable friendships in the animal kingdom.

How Dogs Love Us answers the age-old question of dog lovers everywhere and offers profound new evidence that dogs should be treated as we would treat our best human friends: with love, respect, and appreciation for their social and emotional intelligence.

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Editorial Reviews

The New York Times Book Review - Rebecca Skloot
Berns's books is a beautiful story about dogs, love and neurology that shows how nonhuman relationships are inspiring researchers to look at animals in new ways, for their benefit and ours.
Kirkus Reviews
2013-10-01
A neuroscientist wonders what goes on in the minds of our pet dogs: Do we delude ourselves when we believe that they love us? "It all comes down to reciprocity," writes Berns (Neuroeconomics/Emory Univ.; Iconoclast: A Neuroscientist Reveals How to Think Differently, 2008, etc.). Are dogs simply conditioned to greet us enthusiastically, in the expectation of obtaining treats? Obviously, we can't answer the question of what it is like to be a dog, but we can explore the similarities between their brains and those of humans, using modern techniques for imaging the brain. As the director of a laboratory, the author, using fMRI, studies the neurological basis for human decision-making. A devoted pet lover as well as a dedicated scientist, Berns' determination to probe a dog's mental life was catalyzed when he saw a photo of a member of the SEAL team that killed Osama bin Laden parachuting from a helicopter while holding his dog. The image reinforced his conviction that "dogs and humans belong together [and cannot] exist without each other." With agreement from the university and members of his research team, Berns decided to do an off-budget project to see what brain scans could tell about the way dogs think. For the project to succeed, however, they would need to accustom dogs to entering the machine and lying still. Using his own dog as the first subject, the author chronicles the deepening bond between them during the training. Brain scans of his dog and another canine subject showed that the area of their brains activated in anticipation of a treat is the same as in human subjects anticipating a reward of some kind. While the results are not definitive, Berns believes he "saw direct evidence of reciprocation in the dog-human relationship and social cognition in the canine brain." A solid introduction to an appealing new area of research. For a useful complementary read, check out John Pilley's Chaser (2013).
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Product Details

  • ISBN-13: 9781480590731
  • Publisher: Brilliance Audio
  • Publication date: 12/17/2013
  • Format: MP3 on CD
  • Edition description: Unabridged
  • Sales rank: 946,449
  • Product dimensions: 5.25 (w) x 6.75 (h) x 0.50 (d)

Meet the Author

Gregory Berns, M.D., Ph.D., is the Distinguished Professor of Neuroeconomics at Emory University. His research has been featured in the New York Times, the Wall Street Journal, Forbes, the Los Angeles Times, Nature, Money, New Scientist, Psychology Today, and on CNN, NPR, ABC, and the BBC. He lives in Atlanta, Georgia, with his wife, two children, and three dogs.

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Read an Excerpt

PROLOGUE
Dress Rehearsal
Emory University, Atlanta, Georgia
January 2012

Callie was dancing in the lab. Zooming from person to person, the little black village dog with the energy of a rocket knew that all the months of training had led to this moment. Her eyes sparkled with life, and her rat-tail wagged side to side with such intensity that her head moved in exactly the opposite direction. She was ready.
   Let’s get on with it!
   Callie’s excitement was infectious. Everyone in the lab wanted to see the experiment we were about to perform, mostly because nobody thought it would work. Could we really scan a dog’s brain to figure out what it was thinking? Would we find proof that dogs love us?
   With the team assembled and ten minutes until scan time, we headed to the hospital. Dogs, of course, were not allowed on campus, and here was a very special dog marching across the quad with a dozen people in her entourage. I carried the backpack full of treats and supplies, Andrew toted the computer that would record the timing of the experiment, and Mark hauled the plastic stairs that would let Callie walk up into the MRI—she would have to do that on her own. Everyone else tagged along, snapping photos and texting their friends: the Dog Project was actually going to happen.
   Students, stuck in their lectures, stared out classroom windows as Callie led us all to meet her destiny with a big-ass magnet.
We entered the MRI room through a secret entrance to the hospital.
   Even though the Dog Project had already taken on a circus-like atmosphere, there was no need to alarm the patients by parading Callie through the hospital corridors. I pulled shut the massive door, which was clad in copper to keep out stray electrical signals. It made a tight seal, almost like an air lock. With the room secure, I let Callie off-leash.
   With nose to the ground and tail held high, she trotted around the MRI scanner, making several circuits. Curiosity satisfied, she exited the magnet room and checked out the control room. Despite the hospital setting, the floor was filthy. Several years earlier, a janitor had attempted to clean the MRI room. Imagine his surprise when the floor buffer levitated off the ground and crashed into the bore of the magnet. Ever since, the janitorial staff had been forbidden from entering the facility. The cleanliness had subsequently declined.
   Callie, of course, found every crumb of organic matter that had, at one time, been edible.
   Before we could do any brain scanning, Callie would have to go in the magnet. Normally, magnetic fields are imperceptible to us. But the MRI creates a field sixty thousand times stronger than Earth’s magnetic field. You definitely feel it. As you approach the center of the MRI, the magnetic field increases rapidly in intensity. If you moved a piece of metal through the field, an electrical current would be induced. The same thing happens when a person moves through the magnetic field. The field induces small electrical currents in your body. These currents are most prominent in the inner ear, creating a slight spinning sensation as you are moved into the center of the magnet. For some people, though, it can create a nauseating sense of vertigo.
   Up until that moment, the thought had not occurred to me that dogs might be more sensitive to the magnetic field than humans. We were about to find out.
   I placed the portable steps at the base of the patient table. Callie sniffed them but showed no interest in climbing them. She continued to trot around the room, curious about every nook and cranny. Time to bring out the hot dogs.
   That got her attention. Unable to resist the scent of hot dogs, she padded up to the top of the steps, but once there, she balked at climbing onto the patient table. Of course, I could have picked her up and put her there, but it was important to remain faithful to our ethical principle of self-determination. Callie had to do it of her own free will.
   The MR techs started laughing. How could we do an MRI if the subject wouldn’t even get on the table? But I knew Callie would eventually come around. The environment was new and exciting. Once she settled down, she would focus on what she had already learned.
   After five minutes of walking up the steps and jumping off, Callie tentatively placed her paw on the patient table. With great enthusiasm I encouraged her to keep going.
   “That’s it, Callie! Good girl! Want more hot dogs?”
   She got it. Once up on the table, she saw it wasn’t scary at all and that there was a ready supply of hot dogs. Now, she had to go in the bore of the MRI.
   I had already secured the foam chin bar in the head coil, located dead center in the magnet tube. Now I placed, Hansel and Gretel style, a trail of hot dogs leading from the entrance of the MRI to the head coil. Without a thought, Callie continued walking down the patient table into the bore, lapping up hot dogs as she went.
   My colleague Lisa, who was filming the event, gasped in excitement at the sight of a dog walking into the MRI.
   I quickly circled the scanner so I could face Callie from the other end of the bore. She was crouched down in a sphinx position just short of the head coil. Her tail was swishing back and forth. I reached in with a hot dog in my hand and immediately felt the room spin.
   Callie saw the hot dog and scooted forward into the head coil.
   “Good girl!” I said with my highest, most excited voice.
   She took the hot dog and backed up a little bit, but she didn’t leave the bore. With a steady stream of hot dogs, Callie quickly adapted to the new environment and was soon happily eating treats while nestled in the head coil. There was no indication that the magnetic field bothered her.
   With Callie comfortable in the magnet, we had accomplished the first goal of the session. Since that had been relatively easy, it was time to see how she would react to an actual scan.
   The scanner software was created for human subjects, so it had no way of knowing that Callie was a dog. Inputting an accurate weight of the subject was the most important piece of information because that determined how much radio power the scanner would emit.
   Too much power would cook her like so much meat in a microwave.
   With hot dogs, I once again coaxed Callie into the MRI. When she was comfortably settled in the head coil, I gave a thumbs-up. The scanner made a series of clicks and hums as it revved up.
   Callie’s eyes narrowed.
   Then, like the onslaught of a thousand bees, the scanner started buzzing. This was the initial preparation phase, called shimming. The scanner automatically adjusts the magnetic field to compensate for the distortion caused by whatever is placed inside. Normally, shimming takes a few seconds, but with Callie inside, the buzzing continued. Even though she was wearing earmuffs, she wanted no part of it and headed for the exit.
   I waved my arms back and forth, signaling the MR tech to abort the scan.
   “What was that noise?” I asked.
   “Shimming,” he said.
   “Why was it going on for so long?”
   “The scanner was having trouble compensating,” he explained. “Probably because it expects a human.”
   We hadn’t thought of this. We hadn’t even recorded the shimming noises for our training sessions. We had assumed they would take only a few seconds, a minor blip compared to the lengthy functional scans that would follow. Callie reacted to these novel sounds as any dog would: she got scared.
   We tried a dozen times, but Callie scooted out as soon as the scanner started buzzing. We even tried starting the scan before she went in, figuring that if she got used to the ambient noise, I could coax her into the head coil. Eventually, with enough repetitions, the scanner was able to cobble together a crude compensation for her canine form.
   Next up were the functional scans. These are a series of scans that individually take about two seconds to capture the brain. By continuously acquiring these functional scans while Callie was in the MRI, we could measure changes in her brain activity and figure out what she was thinking. At least, that was the plan. Finally, we would do a structural scan, which is a high-resolution picture of the brain used to identify brain anatomy.
   It was tough for her. The earmuffs kept sliding back, exposing her ears to the full onslaught of the noise. Even so, Callie managed to hold her head in position for a few seconds at a time. We stopped the scanner after three minutes’ worth of scanning. That, we felt, would be enough to evaluate the quality of the data.
   Before she got too tired, we decided to make one attempt at a structural image. The structural scan takes thirty seconds, and Callie would have to hold still the entire time. After the scan, she bounded out of the magnet and pawed off her earmuffs. She jumped up and licked my face and then ran over to Lisa, who gave Callie a big hug.
   “What a good girl!” she exclaimed.
   We all went into the control room to see what the images looked like.
   The structural image looked remarkably good. There were ghost images throughout, which occur when the subject moves, but it was clearly recognizable as a dog’s brain. The functional images were a different story. Out of 120 images, only one contained anything that looked like a brain. Mostly they were jumbles of digital snow with an occasional eyeball peeking into the field-of-view.
   I hugged Callie and said, “I’m so proud of you.” But in reality, I didn’t know if this was going to work.
   The next scan—with Callie, the other dog, McKenzie, and the whole entourage—was in three weeks. I hoped we could figure it out before then. If we didn’t, I would have to pull the plug on the Dog Project and acknowledge that the naysayers had been right: you can’t scan the brain of an awake dog.

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Table of Contents

Prologue: Dress Rehearsal xii

1. Dia de los Muertos 1
2. What It’s Like to Be a Dog 13
3. A Fishing Expedition 21
4. Puppy Steps 31
5. The Scanner Dilemma 41
6. Resonant Dogs 48
7. Lawyers Get Involved 56
8. The Simulator 68
9. Basic Training 75
10. The Stand-In 87
11. The Carrot or the Stick? 97
12. Dogs at Work 105
13. The Lost Wedding Ring 114
14. Big Questions 125
15. Dog Day Afternoon 134
16. A New World 150
17. Peas and Hot Dogs 158
18. Through a Dog’s Eyes 168
19. Eureka! 179
20. Does My Dog Love Me? 186
21. What’s That Smell? 195
22. First Friend 206
23. Lyra 215
24. What Dogs Are Really Thinking 225

Epilogue 234
Notes 241
Acknowledgments 247

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Customer Reviews

Average Rating 4.5
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Sort by: Showing all of 2 Customer Reviews
  • Posted September 11, 2014

    Very interesting! A bit scientific, but readable and enjoyable

    Very interesting! A bit scientific, but readable and enjoyable

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  • Posted April 6, 2014

    more from this reviewer

    Confirms what any dog lover knows; our dogs love us!

    Fascinating book, not only in it's description of how these scientists were able to train dogs to have MRI testing performed while awake (previously the only MRI's performed on dogs were while they were under sedation) but more-so in the findings of these MRI studies. A very worthy read for any dog lover which will confirm of many of us already know-our dogs love us in a very close approximation to the way we love them. A very good and rewarding read.

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