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The Humintell Blog November 30, 2023

Childhood Maltreatment, Depression, and Emotion Recognition

Could there be a link between childhood maltreatment, depression, and emotion recognition?

Researchers Kristine Kahr Nilsson, et al investigated this question by comparing the emotion decoding abilities of major depressive disorder (MDD) patients with and without a history of childhood maltreatment.

The results of their study suggests that individuals who have experienced childhood maltreatment and suffer from depression tend to have greater difficulty understanding and decoding emotions in others’ faces.

Their findings appeared in their paper entitled “Valence in the eyes: An emotion decoding profile of adults with major depressive disorder and a history of childhood maltreatment” which was published in Clinical Psychology & Psychotherapy.

What is Major Depressive Disorder?

Also known as Clinical Depression, Major Depressive Disorder (MDD) is a common mental health condition that affects millions of people worldwide. In fact, over 8% of adults living in the United States have experienced at least one major depressive episode.

MDD is typically characterized by persistent sadness, low energy, and difficulty finding joy in daily life. It can affect how you feel and your ability to function on a day-to-day basis.

While substantial progress has been made in recent years to understand depression, it’s a complex condition with different variations. Researchers have been exploring various factors that may contribute to depression and its severity, and one area of interest is childhood experiences.

What is Childhood Maltreatment?

Childhood maltreatment encompasses various forms of abuse and neglect that some individuals endure during their early years. These experiences can have lasting effects on mental health and well-being.

Child maltreatment is a global problem with serious life-long consequences. International studies reveal that nearly 3 in 4 children aged 2-4 years regularly suffer physical punishment and/or psychological violence at the hands of parents.

Previous studies such at this meta analysis have also suggested a link between childhood maltreatment and a higher risk of developing depression later in life.

However, not all individuals with depression have experienced childhood maltreatment, and researchers want to understand why some individuals with depression may have more severe symptoms and difficulties in their daily lives.

Study Methodology

For their study, the Danish researchers recruited 342 participants who had been formally diagnosed with MDD by medical professionals and were receiving antidepressant medication.

The participants were asked about their experiences of childhood maltreatment using a questionnaire called the Adverse Childhood Experience Questionnaire (ACE-Q). This questionnaire included questions about different types of maltreatment, such as emotional, physical, and sexual abuse, as well as emotional and physical neglect during their first 18 years of life.

Reading Emotions

To assess their emotion decoding abilities, the participants completed a test known as the Reading the Mind in the Eyes Test (RMET).

This test has been widely used to measure theory of mind—the ability to recognize and understand another person’s mental state—or social intelligence by looking at the subtle expressions in people’s eyes. It contains various sub-tests that require participants to determine the emotional state expressed by photos of faces.

The Findings

The study’s findings revealed that individuals with MDD who had a history of childhood maltreatment exhibited poorer emotion decoding abilities compared to those with MDD but no such history.

This suggests that early life experiences, such as childhood maltreatment, can influence an individual’s ability to understand and interpret emotions in others, particularly in the context of facial expressions.

Interestingly, the difficulties in emotion decoding were most pronounced when it came to positive and negative emotions, while no significant differences were observed for neutral emotions.

This suggests that individuals who have experienced childhood maltreatment may struggle more when trying to understand the emotions of happiness, sadness, anger, and fear in others.

Important Implications for Clinical Practice

It’s crucial for healthcare professionals to recognize that individuals with MDD and a history of childhood maltreatment may face additional challenges in their treatment journey.

Understanding their difficulties in emotion decoding can guide tailored interventions to improve their social interactions and overall well-being.

Study Limitations

While this study provides valuable insights, it’s essential to acknowledge its limitations.

One limitation is that childhood maltreatment was measured retrospectively through self-report, which may be subject to memory biases.

Future research can delve deeper into the developmental and neurological processes underlying emotion decoding difficulties in individuals with MDD who have a history of childhood maltreatment. Understanding these mechanisms can help refine treatment strategies and provide better support for this subgroup of individuals.

“It remains to be examined whether the identified emotion decoding problems in MDD patients with childhood maltreatment exacerbate their depressive symptoms,” Nilsson said. “This would be a relevant subject for investigation in a longitudinal study that follows these patients over time.”

Face-to-Face Interaction in Preventing Depression

Previous research suggests that there are unsurpassed mental health benefits of regular face-to-face social interactions, particularly among older adults.

Study participants who regularly met in person with family and friends were less likely to report symptoms of depression, compared with participants who emailed or spoke on the phone. The gains people derived from face-to-face socializing endured even years later.

The findings were published online today in the Journal of the American Geriatrics Society.

The post Childhood Maltreatment, Depression, and Emotion Recognition first appeared on Humintell.

Filed Under: Emotion, Science

The Humintell Blog November 3, 2023

Research Shows Cats Have Nearly 300 Facial Expressions

If you’re a cat lover, you probably already know that your feline friend uses subtle body language and nonverbal cues to communicate with you.

You may even know that cats usually don’t meow to each other, only to humans (a tactic developed through adaptation and evolution).

But how do cats communicate with each other?

Recent research that studied domestic cats in a cat cafe in California shows they do “talk” to each other and that their means of communication amongst themselves are even more complex than we originally thought.

The study entitled “Feline Faces: Unraveling the Social Function of Domestic Cat Facial Signals” was recently published in Behavioural Processes.

In it researchers tallied nearly 300 different feline facial expressions (276 to be exact), used to communicate hostile and friendly intent and everything in between.

What’s even more fascinating, researchers believe cats may have evolved this range of sneers, smiles, and grimaces over the course of their 10,000-year history with humans.

The Cat Study Methodology

Over 10 months, researchers Lauren Scott and Brittany N. Florkiewicz observed 53 domestic shorthair cats in a Los Angeles cat cafe and recorded 186 separate meetings between the animals.

The team recorded 194 minutes of footage after the café closed to visitors for the day and focused specifically on recording and reviewing the cats’ facial expressions when interacting with each other.

After obtaining the recordings, they used the Facial Action Coding Systems designed for cats and compared the complexity and compositionality of facial signals produced in affiliative and non-affiliative contexts.

To measure complexity and compositionality, they examined the number and types of facial muscle movements (AUs) observed in each signal.

Similarly, research scientists who study facial expressions of emotion in humans also use FACS and AUs to code faces and facial muscles specifically.

276 Unique Cat Facial Expressions Found

After observing, recording, coding and studying the cats’ facial expressions, researchers found 276 unique facial expressions (which is not far removed from the 357 expressions produced by chimpanzees).

These different expressions were sorted into 2 major categories

  • Friendly: which constituted 45% of the expressions
  • Aggressive: which made up 37% of the expressions

The remaining 18% were too ambiguous to clearly categorize.

According to Florkiewicz, each cat expression combined about four of 26 unique facial movements, including parted lips, jaw drops, dilated or constricted pupils, blinks and half blinks, pulled lip corners, nose licks, protracted or retracted whiskers, and/or various ear positions.

By comparison, the human face includes over 40 structurally and functionally anatomically independent muscles, each of which can innervate independently of each other. This makes the face one of the most complex signal systems available to humans.

According to Science Magazine, what exactly the felines were “saying” to one another with these expressions remains unclear, Florkiewicz says. But overall, cats tend to move their ears and whiskers toward another cat during friendly interactions, and to move them away from their compatriot during unfriendly interactions. Constricted pupils and licking lips also tend to accompany such rivalrous encounters.

Interestingly, some of the cats’ friendly expressions resemble those made by people, dogs, monkeys, and other animals. This suggests that these species may share “a common play face.”

Although the researchers haven’t been able to compare their results with those of wild felines, they do know that all close relatives of the domestic cat are ferociously solitary animals.

Pet cats might have retained some of that defensive communication, Florkiewicz says, but these domestic descendants probably started to pick up friendly facial expressions as they gathered to await humans’ dinner leftovers.

Historically cats have received less research attention than their canine counterparts and their cognitive abilities were less recognized. However, in the last 10 years, research focusing on trying to better understand our feline companions has grown.

To read more about how good your cat is at emotion recognition, visit this past blog post.

The post Research Shows Cats Have Nearly 300 Facial Expressions first appeared on Humintell.

Filed Under: Science

The Humintell Blog October 6, 2023

The Latest Science about Behavioral Indicators of Deception

A Message for Professional Interviewers, Investigators, Therapists, and Negotiators

I wanted to let our Humintell community know of a recent paper that was published in a top-tier, scientific journal on behavioral indicators of deception.

In the scientific community, there have been debates about whether behavior can reliably differentiate truths from lies, and if so, which ones.

Fortunately, many studies published in the last two decades have demonstrated that nonverbal behavior (NVB) can differentiate truth-tellers and liars fairly well.

One reason for the emergence of the wealth of these findings is that these studies have examined situations in which people are actually interviewed about meaningful events and where there’s consequences for not being believed.

These are precisely the types of situations in which professionals – investigators, therapists, counselors, negotiators – work and need to make the best evaluations they can possibly make.

In the remainder of this article, I summarize three main take-aways of the latest paper, and interested readers can read the paper here.

1. Professionals should focus on clusters of NVB produced in multiple channels of behavior

Across the face, voice, hands, and whole body. Examining clusters makes more sense than examining only single behavior because NVB are part of a total communication package that occurs across multiple channels, with and without words.

Four facts support this suggestion:

  1. Human bodies are wired to connect our thoughts, feelings, and behavior (think embodied cognition)
  2. Our thoughts and feelings are blended at any one time and across time
  3. We verbalize only a portion of what’s in our heads at any one time
  4. Different mental states (cognitions, emotions, etc.) map onto different NVB channels (face, voice, gesture, etc.)

2. Professionals should focus on behavioral indicators that have been validated in science and vetted in the field.

Our Humintell community knows that certain NVB have been scientifically validated as deception indicators while others have not.

On one hand, facial expressions of emotion and microexpressions, some types of gestures, fidgeting (in some contexts), and some aspects of voice differentiate truth-tellers from liars.

On the other hand, looking away when answering questions (gaze aversion) has not been scientifically validated as a deception cue. Astute professionals will know not to believe everything about NVB that they may hear or read about.

3. NVB are also important indicators of many other mental states that can be helpful for interviewers.

Our Humintell community also knows that NVB can signal many different mental states, all of which can be useful to professionals as landmarks of meaningful topics and themes.

These include specific, discrete emotions such as anger, disgust, or fear; general affective states such as open or closed, relaxed or tense; specific verbal words or phrases; cognitive processes, confusion, concentration; and others.

Identifying these behaviors can give professionals additional insights to people’s mindsets.


Experienced professionals all develop their own customized interview strategies and tactics. The accurate and reliable observation and classification of NVB can be a crucial aid, and focusing on NVB clusters that have been validated in science and vetted in field work is key.

Equally important is to ignore NVB that have not been validated. By knowing which behaviors have been validated and vetted and which not, professionals can become more efficient by distinguishing meaningful signals from noise in the behavioral mess that occurs in interviews.

Here at Humintell, we base all our trainings on behavioral indicators of mental states that have been validated in science and vetted in the field by practitioners. Thus, please rest assured that we practice what we preach.

 

The post The Latest Science about Behavioral Indicators of Deception first appeared on Humintell.

Filed Under: Deception, Nonverbal Behavior, Science

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