THE TEST "WHICH IS THE OPPOSITE OF THE RED COLOUR"

IN 325 OUTPATIENT'S SUBJECTS.

Renato COCCHI, a neurologist and a medical psychologist.

 

(Traduzione italiana)

 

Summary.

 The analysis of the answers to the test "Which is the opposite of the red colour", given by 325 subjects (F = 79, age 13-75 years; M = 69, age 7-70 years) seen in the outpatient's clinic between 1992 and 2002, drove to 148 opposite answers out of 325 (45.54%), of which 68 out of148 (45.95%) with the response: Green, and 80 out of 148 (54.06%) with the response: White.

 I did not find gender differences, while the  responses: White, came out from significantly older patients. I did not noted gender and motivation differences for first consultation, the same for secondary symptoms or remarkable traits, as well as for the final diagnosis or other information.

As for the investigation on the opposite answers, opposite behaviour or feelings coexist in 50% of those people who answered: White, but even in several persons who answered: Green. In six subjects out of the 80 who answered: White, opposite behaviour or feelings lacked, which denies a whole correlation between the response: White and opposite behaviour or feelings.

 

Key words:  Opposite of the Colour Red Test; Response: Green; Response: White opposite behaviour; opposite feelings; depression; gender; age.

 

Theoretical and research bases

Clinical cases

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 For a long time I am dealing with a possible temporary, stabilized or stable prevalence of the non-dominant half-brain. I tried to investigate this phenomenon with a simple test ("Which is the opposite of the red colour?"). I invented it on the base of a known experiment of neuropsychology. Beyond a research on drug addicts, I wrote about the results of this test in an anecdotal way, shortly recalled as it follows.

 About this coexistence of the opposite, affecting every perceptive stimulus, we can redo a famous neuropsychological experiment that, however, has never found its adequate explanation. If we stare at a red surface for some minutes, and then shift our gaze immediately to a white surface, for a fraction of a second we see the colour green (green is the complementary/opposite colour of red).

If one accepts the idea of coexistence of the opposite as true, it can be argued that the dominant hemisphere correctly perceives the red colour. The non-dominant hemisphere perceives the red stimulus as green, but this phenomenon is habitually suppressed. When moving the eye to a white surface (which represents the complete absence of colour) the dominant hemisphere adapts straight away. The non-dominant side, which is slower in processing stimuli, shows its residual image (green) for a fraction of a second. This is presented as belonging to the second surface, the white one, while it is still the real product of the opposite of the stimulus as the result of the red surface.

The non-dominant hemisphere is also the one in which emotional stimuli are mainly processed (Gianotti, 1983; Wittling & Roschmann, 1993). Could it be possible that hyper-emotional individuals ( often meaning "neurotic" subjects) experience hyper-functioning of the areas, structures or functions controlled by the non-dominant hemisphere?

While on this point I would like to refer to a test that I often use. If hyper-emotional subjects are asked to reply immediately, without stopping to dwell, on the question "What is the opposite of red?", a large number of them reply "Green." Asked to give a reason for their answer they are at a loss. True depressives generally answer "Black" (which is the opposite of white).

The test has also proved to be positive with opiate drug addicts, hyperkinetic children and in cases of mental anorexia.

 In some way the brain of these "neurotic" individuals seem to know the right answer and they can translate this into words if the reply is spontaneous and not subject to "rational" critical processing (Cocchi, 1994).

 As for drug addicts, a group of heroin and cocaine addicts (43 Ss, 5 F + 38 M, average age 28.16 +/- 6.59 years with range 19-48; average years schooling 10.40 +/- 2.78; years of abuse: 6.55 +/- 4.88 with range 8/12 - 21) showed significantly higher prevalence (79.07% vs 24.59% p = .0009) of "Green" answers to the "Name the opposite of Red" test as compared to a group of normal subjects (61 Ss, 11 F + 50 M, average age 27.79 +/- 5.56 years with range 19-48; average schooling 12.34 +/- 4.19 years).

This result confirmed that these addictive drugs can act on half-brain dominance at least by lowering the suppression mechanism, with a consequent clear elicitation of the non-dominant half-brain opposite engram (Cocchi, 2002).

 In a right-handed 42-yrs-old woman, previously diagnosed and treated  as suffering from a schizo-affective psychosis I easily detected the depressive base of symptoms and complaints.

 However I tried to give her the test "Which is the opposite of the Red colour?", according to what,  I previously wrote on it (Cocchi, 1994). I expected the answer "Black," which the colour usually depressed people answers. Instead of it  she answered at once "White," a colour that left me surprised for quite a lot until I did not realize that the White was the opposite colour of the Black.

 It was the second or the third time I heard this answer since fewer years of administration of that test, but only in that moment Black got a precise meaning.

In past, I only thought the White as a much bright colour, and I did not know how to relate this response to the psychic state of the person pointing out it so (Cocchi, 1996 ).

 A man of 46 years said that the opposite of every thing seemed to attract him very much, but he denied that this was a voluntary choice. When asked to answer without any hesitation and to say the opposite of the Red colour, he answered "White." For no apparent reasons he used to feel angry or bad against the persons he loved. (Cocchi, 2001).

 A 10-years-old girl with  Smith-Magenis syndrome, and opposite behaviour, derogating and dirty words, when asked to say the opposite colour of the  red, she answered nearly at once "Green" that exactly the opposite colour (Cocchi, 2001).

  Opposite behaviour or feelings  are not isolate symptoms, but even found in conditions driving to a definite psychiatric diagnosis. As for three adult subjects, the first had an obsessive-compulsive syndrome, the second had an attention deficit disorder with hyperkinesys, and third suffered from a cyclic psychosis, with short maniacal phases.

In all and three the cases there were opposite feelings or true and really opposite behaviour. In two cases out of three to the test "Which is the opposite of the red colour?" the answer was: White, which is the opposite of the black. Black is usually the response depressed persons give.

 Mood alterations in a depressive direction were clearly detected in the first case, and they have room by definition in the third case. In the second case the depression was not evident, but his response: Blue, as the opposite of the red, and the alcoholic abuse could be some signs of a primarily somatic depression, the young man not is still aware of it. (Cocchi, 2002).

 A child of eight years, with Attention Deficit with Hyperactivity Disorder, right-handed, with probable trouble of the brain hemispheric dominance, came to consultation for mainly groundless repetitive opposition.  When asked to answer without think on: Which is the opposite of the red colour, he did reply: Blue. (Cocchi, 2002)

 

 Since I started in 1992 to apply this test, even if in a not systematic way, the reexamination of my clinical records till the whole 2002, allowed me to find  an interesting series of data.

 

Materials and methods.

I reexamined all the records of patients I saw between 1992 and end 2002. From them I excluded the records of Down's syndrome patients, those of the autistic and otherwise psychotic children, and those with other  genetic or chromosomal anomalies.

 I collected only the records where the patient did the test "Which is the opposite of the red colour?"

I have to say immediately that the question has been sort in not-systematic way, for which I did not questioned all persons who could have had it. So I cannot therefore point out reliable rates of prevalence.

Within this selection, I made a further selection that  has exclusively concerned the response: Green, as the opposite  of red ( it is the complementary colour) and the response: White, as the opposite of Black, being Black the answer given by most depressed adult people.

 Of every such patient that answered Green or White I picked up: sex, age at the first examination, alleged complaint, other symptoms or  secondarily remarkable details, diagnosis of  depression made during the first examination, if depression was not the alleged complaint, answer to the test, investigation about the answer, other of meaningful. On these collected data I made comparisons for sex, age, alleged complaint, etc.

 Then, I used Chi Square test and t Test for statistic analysis, when possible.

 

Results.

Out of 325 records where I wrote the application of the test, I found 148 with responses in opposition (45.54%), of which 68/148 (45.94%) with the response: Green and 80/148 (54.06%) with the response: White.

I summarized these results in the tables 1-6.

 

Table 1: Distribution for sex of the two subgroups.

 

Answer

Green

% /68

White

% /80

Totals

% /148

F

32

47.06

47

58.75

79

53.38

M

36

52.94

33

41.25

69

46.62

Totals

68

100.00

80

100.00

148

100.00

Chi Square:  F vs M = NS ; Chi Square: Green vs White = NS

There are not even sex differences and of response.

 

 

Table 2: Distribution for age (years).

 

 

Green /F (32 Ss)

Green /M (36 Ss)

White /F (47 Ss)

White /M (33 Ss)

Average +/- SD

33.97 +/- 11.76

30.83 +/- 12.85

41.34 +/- 12.43

39.88 +/- 14.16

Range

16 – 75

7-63

13-70

17-70

Green /F vs Green /M:  t = 1.046 with 66 df; p = .299 NS.  ///  White /F vs White /M = .488 with 78 df; p = .627 NS. /// Green /F vs White /F =  -2.643  with 77 df; p = .01 ///  Green /M vs White /M = -2.783 with 67 df; p = .001  >

From the table 2 we can observe that the two phenomena (The response: Green  and the response: White) are significantly different as for age, either for males and females, being later an average, the response: White. I did not found gender differences.

 

 

Table 3: Alleged complaints.

 

Alleged complaint

Green  /F

Green /M

White /F

White /M

 

Ss no.

%

Ss no.

%

Ss no.

%

Ss no.

%

Depression

18

56.25

14

38.89

21

44.68

16

48.48

Neurosis

4

12.50

1

2.78

5

10.64

3

9.09

Panic attack

2

6.25

2

5.56

4

8.51

3

9.09

Anxiety

2

6.25

0

0.00

5

10.64

2

6.06

Binge eating

1

3.12

0

0.00

0

0.00

0

0.00

Apathy

1

3.12

0

0.00

0

0.00

0

0.00

Epilepsy

1

3.12

0

0.00

0

0.00

0

0.00

Insomnia

1

3.12

0

0.00

2

4.25

1

3.03

Cramps

1

3.12

0

0.00

0

0.00

0

0.00

Premestrual syndrome

1

3.12

0

0.00

0

0.00

0

0.00

Drug addiction

0

0.00

6

16.67

2

4.25

2

6.06

School difficulties

0

0.00

3

8.34

1

2.13

0

0.00

Alcoholism

0

0.00

2

5.56

0

0.00

0

0.00

Stress

0

0.00

2

5.56

0

0.00

0

0.00

Bedwetting

0

0.00

2

5.56

0

0.00

1

3.03

Psychosis

0

0.00

2

5.56

1

2.13

3

9.09

Atten. Def. Hyperact. Disorder

0

0.00

1

2.78

0

0.00

0

0.00

High level AS rate (in a boy)

0

0.00

1

2.78

0

0.00

0

0.00

Headache

0

0.00

0

0.00

1

2.13

0

0.00

Psychomotor agitation

0

0.00

0

0.00

0

0.00

2

6.06

Delirious state

0

0.00

0

0.00

1

2.13

0

0.00

Gastro-intestinal troubles

0

0.00

0

0.00

3

6.38

0

0.00

Green /F vs Green /M:  t = - .173 with 42 df; p = .864 NS ///  White /F vs White /M:  t = .487, with 42 df; p = .629 NS /// Green /F vs White /F:  t = -.503 with 42 df; p = .618 NS  /// Green /M vs White /M:  t = .138 with 42 df; p = .891 NS

How we can see, there do not exist significant differences as for sex and type of response. The depression is the more frequent symptom as cause of the consultation.

 

 

Table 4: Secondary symptoms or other remarkable details

 

Symptom or other remarkable detail

Green /F

Green /M

White /F

White /M

Ss no.

%

Ss no.

%

Ss no.

%

Ss no.

%

Gastro-intestinal troubles

8

25.00

3

8.33

6

12.77

6

18.18

Headache

8

25.00

3

8.33

6

12.77

2

6.06

Psychosis

3

9.37

1

2.78

5

10.64

2

6.06

Fatigue

2

6.25

3

8,33

2

4.26

1

3.03

Anxiety

0

0.00

2

5.56

2

4.26

3

9.09

Drug abuse

1

3.13

1

2.78

2

4.26

0

0.00

EEG +

1

3.13

0

0.00

0

0.00

0

0.00

Neurosis

0

0.00

2

5.56

2

4.26

1

3.03

Insomnia

0

0.00

1

2.78

0

0.00

0

0.00

Behaviour troubles

0

0.00

1

2.78

1

2.13

0

0.00

Heroine abuse

0

0.00

5

13.89

0

0.00

2

6.06

Panic attack

0

0.00

0

0.00

1

2.13

1

3.03

Hallucinations in past

0

0.00

0

0.00

1

2.13

0

0.00

School difficulties

0

0.00

0

0.00

1

2.13

0

0.00

Memory troubles

0

0.00

0

0.00

1

2.13

1

3.03

Alcohol abuse

0

0.00

0

0.00

1

2.13

0

0.00

Green /F vs Green /M:  t = - .081 with 30 df; p = .936 NS  ///  White /F vs White /M:  t =  1.177, with 30 df; p = . 248 NS  ///  Green /F vs White /F:  t = -.596 with 30 df; p = .556 NS  ///  Green /M vs White /M:  t = .342 with 30 df; p = .735 NS

Even here, no significant differences as for sex and response type. Headache and GI troubles are the more frequent secondary symptoms.

 

 

Table 5: Final diagnosis or other information.

 

Final diagnosis or other

Green /F

Green /M

White /F

White /M

 

Ss no.

%

Ss no.

%

Ss no.

%

Ss no.

%

Depression

10

 

10

 

16

 

12

 

Supposed Depression

1

 

0

 

1

 

0

 

Depression in past

2

 

1

 

7

 

7

 

Acoustic or visual hallucinations

2

 

0

 

2

 

0

 

Previous ADHD.

0

 

4

 

0

 

3

 

ADHD.

0

 

0

 

0

 

1

 

EEG +

0

 

1

 

1

 

0

 

Anxiety

0

 

1

 

0

 

1

 

Parkinson’s disease

0

 

0

 

1

 

0

 

Sciatic nerve pain

0

 

0

 

0

 

1

 

Green /F vs Green /M:  t = - .143 with 18 df; p = .888 NS  ///  White /F vs White /M:  t = . 147, with 18 df; p = . 885 NS  ///  Green /F vs White  /F:  t = -.748 with 18 df; p = .464 NS  ///  Green /M vs White /M:  t = .498 with 18 df; p = .625 NS

The more frequent final diagnosis, when not already the cause of the consultation, was still the depression.

 

 

Table 6: Investigation on the opposite responses.

 

 Answer to the investigation

Green /F

Green /M

White /F(*)

White /M (*)

 

Ss no.

%

Ss no.

%

Ss no.

%

Ss no.

%

Not investigated

27

84.37

33

91.67

17

36.17

14

42.42

Doubtful

0

0.00

0

0.00

1

2.13

0

0.00

Negative

0

0.00

0

0.00

3

6.38

3

9.09

Opposite behaviour or feelings

5

15.63

3

8.33

25

53.19

15

45.45

Opposition

0

0.00

0

0.00

1

2.13

0

0.00

Too young for answering

0

0.00

0

0.00

0

0.00

1

3.03

Totals

32

100.00

36

100.00

47

100.00

33

100.00

 

(*) 1 + 6 subjects, after they had answered with some hesitation "Black,"  admitted of has first "seen the White," and so their responses were counted as "White." Such responses did get confirmation of the brain opposite presence of White and Black, this second colour being the usual depressive response.

 

I preferred to do not apply any statistical test, because the excess responses: Not investigated. Yet the large presence of opposite behaviour and feelings in persons who answered: White,  has poor probability of being a random phenomenon.

 

Discussion.

The finding of 148 with responses in opposition (45.54%), of which 68/148 (45.95%) with the response: Green and 80/148 (54.06%) with the response: White, although all outpatients questioned it in a not systematic way, cannot be a completely random fact.

 Somehow or other, a response exists of simple opposition (Green), but also an opposition to the usually depressive response (White, as the opposite of Black). Either of them  may be evoked, if, somehow,  rational mechanisms do not operate. For this I ask an immediate or "instinctive" response, by aiming to avoid that rational mechanisms (The patient's repetition of the question, affirmation that it does not exist an opposite of the red colour, etc.) to take up room. Otherwise it would erase the information coming, I think, from a particular state of some areas of the not-dominant half-brain.

 For what concerns the response: Green, in a sample of 61 normal subjects (11 F + 50 M, average age 27.79 +/- 5.56 years, with range 19-48; average schooling 12.34 +/- 4.19 years ), it counted 24.59%. Compared with the percentage here found (20.92%), the response: Green of the normal subjects would have a larger rate.

 I have to say that then, in both samples, nobody answered: White, which are here in a greater number than the responses: Green. If we consider instead all the opposition responses (Green + White) of the current sample, by comparing them to the responses: Green of the 61 normal subjects, the actual rate passes to  45.54% against 24.59%, which is to say, over 85% more.

However this is an aspect that needs a more accurate investigation.

 The analysis of this sample showed that there are not gender and responses' differences, while, as for the age the two types of response ( Green or White ) are significantly different, being the response: White,  as average later. I did not find any gender difference, as for this age difference.

 About the consultation complaint, no gender and type of response differences. The depression is the more frequent symptom as main complaint.

For secondary  or particularly remarkable symptoms, again no significant difference for gender  and  response type. Headache and  gastrointestinal troubles are the two more frequent secondary symptoms.

 For what concerns the final diagnosis, or additional information, even here, I did not find any significant difference for gender and response type. The more frequent final diagnosis, when not already complained as the cause of the consultation, was still the depression.

By adding the depression as cause of consultation (46.62%) to the depression as my diagnosis to end examination (32.43%), the depression gained 79.05% of subjects who underwent this test.

By adding the depression as cause of consultation (46.62%) to that as my diagnosis to end examination (32.43%), the depression gained 79.05% of subjects who underwent this test.

Finally, the investigation on the opposite responses  has recorded opposite behaviour or feelings in 50% of those people who answered: White, but even in  11.76% of those who answered: Green. With which, if not other, it may say that opposite behaviour or feelings are not exclusive of those people who answered: White.

There is of more. Six subjects who answered: White did not confess any opposite behaviour or feelings. This leads to infer that between opposite response to the test, and opposite behaviour or feelings it does not exist a relationship of whole correlation.

Even this finding deserves a more accurate investigation. 

 

Conclusions.

  The analysis of the answers to the test "Which is the opposite of the red colour" given by 325 subjects  seen in the outpatient's clinic between 1992 and 2002, drove to 148 opposite answers out of 325 (45.54%), of which 68 out of 148 (45.95%) with the response: Green, and 80 out of 148 (54.06%) with the response: White.

 I did not find gender differences, while the  responses: White, came out from significantly older patients. I did not noted gender and motivation differences for first consultation, the same for symptoms or secondarily remarkable traits, as well as for the final diagnosis or other information.

As for the investigation on the opposite answers, opposite behaviour or feelings coexist in 50% of those people who answered: White, but even in several persons who answered: Green. In six subjects out of the 80 who answered: White, opposite behaviour or feelings lacked, which denies a whole correlation between the response: White and opposite behaviour or feelings.

References.

Cocchi R.: Defective hemispheric dominance and cognitive behaviour: Speculative considerations. It. J. Intellect. Impair. 1994, 7: 19-27.

Cocchi R.: Intrusive opposite emotional thinking in a chronic “schizo-affective” woman. A stabilized inverse half-brain dominance of a specific function? It. J. Intellect. Impair. 1996, 9: 163-168.

Cocchi, R.: Temporary reverse dominance of some brain functions in a man aged forty-six. <www.reversebrain.org/case3.htm> 2001

Cocchi R.: A girl aged ten with Smith-Magenis syndrome and possible reverse dominance of some brain functions. <www.reversebrain.org/case4.htm> 2001

Cocchi R.: “Name the opposite of the red” test in drug-addicts and in normal subjects. <www.reversebrain.org/ domin5.htm>, 2001.

Cocchi R. Three young persons with problems of reverse half-brain dominance. On <www.reversebrain.org/ case5.htm>, 2002.

Cocchi R.: A child of 8 years with probable problems of inverse brain dominance. <www.reversebrain.org/ case6.htm>, 2002.

Gainotti G.: Laterality of affect: The emotional behavior of right- and left-braindamaged patients. In: Myslobodsky M.S.(ed): Hemisyndromes. Academic Press, New York, 1983: 175-192.

Wittling W., Roschmann R.: Emotion-related hemisphere asymmetry: Subjective emotional responses to laterally presented films. Cortex 1993, 29: 431-448.

First on Internet on Januray 2003. Copyright by Renato Cocchi, 2003

 

Author’s address: Dr Renato COCCHI, via Rabbeno, 3

42100 Reggio Emilia
renatococchi@libero.it

Testo in italiano

Theoretical and research bases

Clinical cases

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