Can we choose to fall out of love? | Dessa

212,900 views ・ 2019-09-24

TED


Please double-click on the English subtitles below to play the video.

00:12
Hello, my name is Dessa,
0
12395
2373
00:14
and I'm a member of a hip-hop collective called Doomtree.
1
14792
3504
00:18
I'm the one in the tank top.
2
18728
1778
00:20
(Laughter)
3
20530
1658
00:22
And I make my living as a performing, touring rapper and singer.
4
22212
5042
00:27
When we perform as a collective, this is what our shows look like.
5
27278
3214
00:30
I'm the one in the boots.
6
30875
1679
00:32
There's a lot of jumping. There's a lot of sweating.
7
32578
2430
00:35
It's loud. It's very high-energy.
8
35032
2027
00:37
Sometimes there are unintentional body checks onstage.
9
37083
3831
00:40
Sometimes there are completely intentional body checks onstage.
10
40938
3439
00:44
It's kind of a hybrid between an intramural hockey game and a concert.
11
44401
4795
00:50
However, when I perform my own music as a solo artist,
12
50364
3114
00:53
I tend to gravitate towards more melancholy sounds.
13
53502
2768
00:56
A few years ago, I gave my mom the rough mixes of a new album,
14
56685
4241
01:00
and she said, "Baby, it's beautiful, but why is it always so sad?"
15
60950
4524
01:05
(Laughter)
16
65498
1143
01:06
"You always make music to bleed out to."
17
66665
2333
01:09
And I thought, "Who are you hanging out with that you know that phrase?"
18
69022
3509
01:12
(Laughter)
19
72555
1926
01:14
But over the course of my career, I've written so many sad love songs
20
74505
3475
01:18
that I got messages like this from fans:
21
78004
1952
01:19
"Release new music or a book. I need help with my breakup."
22
79980
2852
01:22
(Laughter)
23
82856
2538
01:26
And after performing and recording and touring those songs for a long time,
24
86346
4189
01:30
I found myself in a position
25
90559
2481
01:33
in which my professional niche was essentially romantic devastation.
26
93064
5257
01:39
What I hadn't been public about, however,
27
99335
2323
01:41
was the fact that most of these songs had been written about the same guy.
28
101682
3530
01:45
And for two years, we tried to sort ourselves out,
29
105962
3043
01:49
and then for five
30
109029
1976
01:51
and on and off for 10.
31
111029
1653
01:53
And I was not only heartbroken,
32
113389
2691
01:56
but I was kind of embarrassed that I couldn't rebound
33
116104
4482
02:00
from what other people seemed to recover from so regularly.
34
120610
3975
02:06
And even though I knew it wasn't doing either of us any good,
35
126474
2921
02:09
I just couldn't figure out how to put the love down.
36
129419
4300
02:15
Then, drinking white wine one night,
37
135494
1765
02:17
I saw a TED Talk by a woman named Dr. Helen Fisher,
38
137283
3447
02:20
and she said that in her work, she'd been able to map the coordinates of love
39
140754
4918
02:25
in the human brain.
40
145696
1192
02:26
And I thought, well, if I could find my love in my brain,
41
146912
3741
02:30
maybe I could get it out.
42
150677
1447
02:32
So I went to Twitter.
43
152148
1390
02:34
"Anybody got access to an fMRI lab,
44
154231
2120
02:36
like at midnight or something?
45
156375
1479
02:37
I'll trade for backstage passes and whiskey."
46
157878
2516
02:40
(Laughter)
47
160418
1593
02:42
And that's Dr. Cheryl Olman,
48
162035
1652
02:43
who works at the University of Minnesota's Center for Magnetic Resonance Research.
49
163711
4097
02:47
She took me up on it.
50
167832
1515
02:49
I explained Dr. Fisher's protocol,
51
169371
3457
02:52
and we decided to recreate it with a sample size of one, me.
52
172852
3551
02:56
(Laughter)
53
176427
1130
02:57
So I got decked out in a pair of forest green scrubs,
54
177581
4367
03:03
and I was laid on a gurney
55
183455
1963
03:05
and wheeled into an fMRI machine.
56
185442
1858
03:07
If you're unfamiliar with that technology,
57
187324
2040
03:09
essentially, an fMRI machine is a big, tubular magnet
58
189388
3293
03:12
that tracks the progress of deoxygenated iron in your blood.
59
192705
4467
03:17
So it's essentially figuring out what parts of your brain
60
197196
2708
03:19
are making the biggest metabolic demand at any given moment.
61
199928
2860
03:22
And in that way, it can figure out
62
202812
1666
03:24
which structures are associated with a task,
63
204502
2097
03:26
like tapping your finger, for example, will always light up the same region,
64
206623
3619
03:30
or in my case,
65
210266
1480
03:31
looking at pictures of your ex-boyfriend
66
211770
2948
03:34
and then looking at pictures of a dude who just sort of resembled my ex-boyfriend
67
214742
3832
03:38
but for whom I had no strong feelings.
68
218598
1844
03:40
He was the control.
69
220466
1326
03:41
(Laughter)
70
221816
1323
03:43
And when I left the machine,
71
223841
1362
03:45
we had these really high-resolution images of my brain.
72
225227
3408
03:50
We could cleave the two halves apart.
73
230359
2882
03:53
We could inflate the cortex to see inside all of the wrinkles, essentially,
74
233265
5823
03:59
in a view that Dr. Cheryl Olman called the "brain skin rug."
75
239112
3587
04:02
(Laughter)
76
242723
2005
04:04
And we could see how my brain had behaved when I looked at images of both men.
77
244752
5679
04:11
And this was important.
78
251105
1517
04:12
We could track all of the activity
79
252646
2487
04:15
when I looked at the control and when I looked at my ex,
80
255157
3202
04:18
and it was in comparing these data sets that we'd be able to find the love alone,
81
258383
4289
04:22
in the same way that, if I were to step on a scale fully dressed
82
262696
3976
04:26
and then step on it again naked,
83
266696
2343
04:29
the difference between those numbers would be the weight of my clothing.
84
269063
3443
04:32
So when we did that data comparison, we subtracted one from the other,
85
272530
3691
04:36
we found activity in exactly the regions that Dr. Fisher would have predicted.
86
276245
4076
04:42
That's me.
87
282170
1220
04:44
And that's my brain in love.
88
284343
2078
04:47
There was activity in that little orange dot, the ventral tegmental area,
89
287350
3571
04:50
that kind of loop of red is the anterior cingulate
90
290945
3405
04:54
and that golden set of horns is the caudates.
91
294374
4085
04:59
After she had had time to analyze the data with her team
92
299214
2835
05:02
and a couple of partners, Andrea and Phil,
93
302073
2030
05:04
Cheryl sent me an image, a single slide.
94
304127
2708
05:08
It was my brain in cross section,
95
308018
3580
05:11
with one bright dot of activity
96
311622
1700
05:13
that represented my feelings for this dude.
97
313346
3041
05:18
And I'd known I was in love,
98
318354
1966
05:20
and that's the whole reason I was going to these outrageous lengths.
99
320344
3618
05:23
But having an image that proved it felt like such a vindication,
100
323986
4079
05:28
like, "Yeah, it's all in my head, but now I know exactly where."
101
328089
3774
05:31
(Laughter)
102
331887
3069
05:35
And I also felt like an assassin who had her mark.
103
335971
3169
05:39
That was what I had to annihilate.
104
339164
2641
05:42
So I decided to embark on a course of treatment
105
342299
4472
05:46
called "neurofeedback."
106
346795
2335
05:49
I worked with a woman named Penijean Gracefire,
107
349154
3638
05:52
and she explained that what we'd be doing was training my brain.
108
352816
3965
05:56
We're not lobotomizing anything.
109
356805
1617
05:58
We're training it in the way that we would train a muscle,
110
358446
2749
06:01
so that it would be flexible enough and resilient enough
111
361219
2790
06:04
to respond appropriately to my circumstances.
112
364033
2557
06:07
So when we're on the treadmill, we would anticipate
113
367164
3592
06:10
that our heart would beat and pound,
114
370780
2488
06:13
and when we're asleep, we would ask that that muscle slow.
115
373292
3312
06:17
Similarly, when I'm in a long-term, viable, loving romantic relationship,
116
377195
4681
06:21
the emotional centers of my brain should engage,
117
381900
2724
06:24
and when I'm not in a long-term, viable, emotional, loving relationship,
118
384648
3558
06:28
they should eventually chill out.
119
388230
3111
06:32
So she came over with a set of electrodes just smaller than a dime
120
392579
4592
06:37
that were sensitive enough to detect my brainwaves
121
397195
2392
06:39
through my bone and hair and scalp.
122
399611
2992
06:42
And when she rigged me up, I could see my brain working in real time.
123
402627
4081
06:49
And in another view that she showed me,
124
409299
1950
06:51
I could see exactly which parts of my brain were hyperactive,
125
411273
3965
06:55
here displayed in red;
126
415262
1163
06:56
hypoactive, here displayed in blue;
127
416449
2257
06:58
and the healthy threshold of behavior,
128
418730
3214
07:01
the green zone, the Goldilocks zone,
129
421968
2414
07:04
which is where I wanted to go.
130
424406
1524
07:05
And we can, in fact, isolate just those parts of my brain
131
425954
2956
07:08
that were associated with the romantic regulation
132
428934
2702
07:11
that we'd identified in the Fisher study.
133
431660
2166
07:14
So Penijean, several times,
134
434686
5085
07:19
hooked me up with all her electrodes,
135
439795
1874
07:22
and she explained that I didn't have to do or think anything.
136
442573
3226
07:25
I just essentially had to hold pretty still
137
445823
2567
07:28
and stay awake
138
448414
1859
07:30
and watch.
139
450297
1278
07:33
(Harp and vibraphone sounds play)
140
453791
3823
07:37
So I did.
141
457638
1641
07:39
And every time my brain operated in that healthy threshold,
142
459303
2959
07:42
I got a little run of harp or vibraphone music.
143
462286
4661
07:48
And I just watched my brain rotate at roughly the speed of a gyro machine
144
468145
4405
07:52
on my dad's flat-screen TV.
145
472574
1918
07:55
And that was counterintuitive.
146
475219
1622
07:57
She said the learning would be essentially unconscious.
147
477340
2630
07:59
But then I thought about the other things I had learned
148
479994
2706
08:02
without actively engaging my conscious mind.
149
482724
2099
08:04
When you ride a bike,
150
484847
1468
08:06
I don't really know what, like, my left calf muscle is doing,
151
486339
3954
08:10
or how my latissimus dorsi knows to engage when I wobble to the right.
152
490317
3551
08:13
The body just learns.
153
493892
1200
08:15
And similarly, Pavlov's dogs probably don't know a lot about, like,
154
495116
4117
08:19
protein structures or the waveform of a ringing bell,
155
499257
3869
08:23
but they salivate nonetheless because the body paired the stimuli.
156
503150
3620
08:27
Finished the sessions,
157
507713
1305
08:29
went back to Dr. Cheryl Olman's fMRI machine,
158
509878
3367
08:33
and we repeated the protocol,
159
513269
1676
08:34
the same images --
160
514969
1193
08:36
of the ex, of the control and, in the interest of scientific rigor,
161
516186
4563
08:40
Cheryl and her team didn't know who was who,
162
520773
2231
08:43
so that they couldn't influence the results.
163
523028
2152
08:47
And after she had time to analyze that second set of data,
164
527170
4450
08:51
she sent me that image.
165
531644
1523
08:53
She said,
166
533968
1560
08:55
"Dude A's dominance of your brain
167
535552
2812
08:58
seems to essentially have been eradicated.
168
538388
2170
09:00
I think this is the desired result," comma, yes, question mark.
169
540582
4182
09:04
(Laughter)
170
544788
2379
09:07
And that was the exactly the desired result.
171
547984
2132
09:10
And finally, I allowed myself a moment to introspect,
172
550140
3549
09:13
like, how did I feel?
173
553713
2283
09:17
And in one way, it felt like
174
557316
1699
09:20
it was the same inventory of feelings that I'd had at the outset.
175
560452
3692
09:24
This isn't "Eternal Sunshine of the Spotless Mind."
176
564168
2524
09:26
The dude wasn't a stranger.
177
566716
1874
09:28
But I'd had love and jealousy and amity and attraction and respect
178
568614
6915
09:35
and all those complicated feelings that you amass after long-term love.
179
575553
4819
09:40
But it felt like the benevolent feelings had risen to the surface,
180
580396
5359
09:46
and the feelings of fixation and the less-generous feelings
181
586651
4556
09:52
weren't quite so present.
182
592310
1689
09:54
And that sounds like a small thing in some way,
183
594602
2248
09:56
this resequencing of feelings,
184
596874
1511
09:58
but to me it felt like the biggest thing.
185
598409
2251
10:00
Like, if I told you,
186
600684
1778
10:02
"I'm going to anesthetize you,
187
602486
2000
10:04
and I'm also going to take out your wisdom teeth,"
188
604510
2626
10:07
it would really matter to you the sequence in which I did those two things.
189
607160
3558
10:10
(Laughter)
190
610742
2494
10:14
And I also felt like
191
614266
1878
10:16
I'd had this really unusual philosophical privilege
192
616168
4425
10:20
to understand love.
193
620617
2664
10:24
The lab offered to 3D-print my caudate.
194
624940
3710
10:29
I got to hold love in my hand.
195
629358
2073
10:31
(Laughter)
196
631455
1367
10:33
And then I bronzed it,
197
633201
1167
10:34
and I made it into a necklace and sold it at the merch table at my shows.
198
634392
3471
10:37
(Laughter)
199
637887
2782
10:40
(Applause)
200
640693
6347
10:47
And then, with the help of a couple of friends back in Minneapolis,
201
647819
3664
10:51
one of them Becky,
202
651507
1657
10:53
we made an enormous disco ball of it --
203
653188
2571
10:55
(Laughter)
204
655783
1464
10:57
that could descend from the ceiling at my big shows.
205
657271
3007
11:01
And I felt like I'd had the opportunity to better understand love,
206
661057
3948
11:05
even the compulsive parts.
207
665029
4187
11:09
It isn't a neat, symmetrical Valentine's heart.
208
669240
3696
11:12
It's bodily, it's systemic,
209
672960
2134
11:15
it is a hideous pair of ram's horns buried somewhere deep within your skull,
210
675118
4996
11:20
and when that special boy walks by,
211
680138
2320
11:22
it lights up,
212
682482
1429
11:23
and if he likes you back and you make each other happy,
213
683935
2926
11:26
then you fan the flames.
214
686885
1619
11:28
And if he doesn't,
215
688528
1422
11:29
then you assemble a team of neuroscientists
216
689974
2051
11:32
to snuff them out by force.
217
692049
1634
11:33
(Laughter)
218
693707
1910
11:35
Thanks.
219
695641
1235
11:36
(Applause)
220
696900
2505
About this website

This site will introduce you to YouTube videos that are useful for learning English. You will see English lessons taught by top-notch teachers from around the world. Double-click on the English subtitles displayed on each video page to play the video from there. The subtitles scroll in sync with the video playback. If you have any comments or requests, please contact us using this contact form.

https://forms.gle/WvT1wiN1qDtmnspy7