An experimental study conducted in China found that a 5-week emotion-targeted mindfulness training improved participants’ working memory accuracy for faces displaying emotions, with the exception of faces displaying fear. The improvements continued to be present one month after the training was completed. The research was published in npj Science of Learning.

Mindfulness is the practice of intentionally paying attention to the present moment with openness and without judgment. It involves noticing thoughts, emotions, bodily sensations, and external experiences as they arise. Mindfulness has roots in Buddhist meditation traditions but is widely used today in secular psychological and health contexts. It is commonly cultivated through practices such as meditation, breathing exercises, and mindful movement.

Research shows that mindfulness can reduce stress, anxiety, and depressive symptoms. It can also improve emotional regulation and increase awareness of habitual reactions. Mindfulness helps people relate differently to difficult thoughts and feelings rather than trying to suppress or avoid them. In everyday life, it can be practiced during routine activities such as eating, walking, or listening.

Study author Hui Kou and her colleagues wanted to explore the impact of mindfulness training on working memory for faces and the cognitive mechanisms underlying this effect. They conducted an experiment.

Study participants were 120 undergraduate students from a medical university in China. Ninety of them were women. Participants’ average age was 20 years. All participants were right-handed and had normal or corrected-to-normal vision.

Study authors randomly divided participants into a training and a control group. The training group underwent 5 weeks of mindfulness training based on mindfulness-based stress reduction (MBSR) and cognitive therapy. They had 2 hours of training per week.

The goal of the training was to enhance emotion perception and emotion regulation, so the contents of each weekly training focused on the topic of emotions. The control group had two lectures on mindfulness designed to concentrate on general principles of mindfulness. Each lecture lasted 60 minutes and did not include experiential practices.

Before and after the training and 1 month after the training was finished, participants completed assessments of mindfulness (the Five Facet Mindfulness Questionnaire), and a cognitive test assessing their visual working memory for faces displaying emotions. In the cognitive test, participants first viewed two faces for one second. This was followed by a two-second blank screen (delay period), after which another face appeared.

Participants’ task was to indicate whether that final face was among the two initially shown. There were 48 such trials in one block. There were 5 blocks in total. All faces in one block displayed the same emotion and the emotion displayed was different in each block. The emotions the faces displayed were happy, sad, angry, fearful, and neutral.

The results showed that the mindfulness training resulted in improved working memory accuracy for facial stimuli across all examined emotional expressions except fear. One month after the training was finished, these improvements were still present. Participants from the training group performed better than those in the control group both immediately after the training and one month later.

Statistical analyses indicated that, after the training, participants processed information on faces they viewed more efficiently when making memory decisions regardless of the emotion the face displayed. The stronger this increase in processing efficiency was, the more accurate participants’ memory performance became.

“These findings demonstrate that mindfulness training induces lasting improvements in both accuracy and processing efficiency of visual working memory, independent of facial emotions, clarifying its cognitive mechanisms,” the study authors concluded.

The study contributes to the scientific knowledge on the effects of mindfulness training. However, it should be noted that the study used just a single working memory task, with a single type of stimuli. It remains unknown how much the findings would generalize to different working memory tasks and to stimuli that are not faces displaying emotions.

The paper, “Mindfulness training enhances face working memory: evidence from the drift-diffusion model,” was authored by Hui Kou, Wei Luo, Xiaodong Li, Jia Wu, Qianguo Xiao, and Taiyong Bi.

A longitudinal study in Christchurch, New Zealand found that individuals who displayed the most severe ADHD symptoms as adolescents were at an elevated risk of developing substance use disorder, depression, and suicidal ideation in early adulthood. They were also more likely to engage in crime and be unemployed. These individuals tended to have lower income and living standards, and less stable relationships. The paper was published in the British Journal of Psychiatry.

Attention-deficit/hyperactivity disorder, or ADHD, is a neurodevelopmental condition characterized by persistent patterns of inattention, hyperactivity, and/or impulsivity that interfere with daily functioning or development. It typically begins in childhood, although many individuals continue to experience symptoms into adolescence and adulthood. Most often, ADHD is diagnosed when an individual starts school as behavior caused by ADHD comes into conflict with school rules.

ADHD is more commonly diagnosed in males, although females are often underdiagnosed due to less overt symptoms. Genetic factors play a major role in ADHD. ADHD often co-occurs with other conditions such as learning disorders, anxiety, depression, or oppositional behavior. Symptoms can significantly adversely affect academic performance, work productivity, and social relationships.

Study author James A. Foulds and his colleagues used data from a 40-year longitudinal study of a birth cohort in Christchurch, New Zealand to estimate the association between ADHD symptoms in adolescence and a broad range of mental health and psychosocial outcomes in early adulthood up to 40 years of age.

Data used in this analysis came from the Christchurch Health and Development Study. This study enrolled 1,265 individuals born in Christchurch in 1977 and assessed them annually from birth to 16 years of age. After that, data were collected when participants were 18, 21, 25, 30, 35, and 40 years of age. In the final three data collection waves, 75–80% of surviving study participants provided their data.

Data used in this analysis were assessments of ADHD symptoms, conduct disorder, and oppositional defiant disorder symptoms when participants were 14–16 years of age. Of the data collected between 16 and 40 years of participants’ age, study authors used information on substance use disorders (alcohol and cannabis), illicit drug use, and internalizing mental health problems.

Internalizing mental health problems are psychological difficulties characterized by inwardly directed distress, such as anxiety, depression, and withdrawal. Of the data collected between participants’ 25 and 40 years of age, this analysis used information on participants’ unemployment (lasting at least 3 months), relationship breakdowns, income, and home ownership.

Results showed that the 25% of participants with the most severe ADHD symptoms in adolescence were more likely to smoke tobacco (34% vs 15%), fulfill criteria for alcohol use disorder (26% vs 14%), and cannabis use disorder (18% vs 7%) compared to participants with less severe or no ADHD symptoms.

These individuals also more often met the criteria for major depression (29% vs 19%), anxiety disorders, and suicidal ideation. They were more likely to have been arrested (9% vs 3%), more likely to have engaged in both violent and property crime, and were more often unemployed. Participants who had the most severe ADHD symptoms as adolescents owned their homes less often and tended to have lower personal income. They more often reported breakdowns of relationships.

“Higher levels of adolescent ADHD symptoms are associated with substance use problems and criminal offending in adulthood. Long-term secondary prevention activities are needed to detect and manage coexisting problems among adults with a history of ADHD,” the study authors concluded.

The study sheds light on the links between ADHD symptoms in adolescence and key life outcomes in adulthood. However, it should be noted that the study was conducted on a group of individuals born in a single city (Christchurch) in the same year (1977), meaning that the observed associations may be affected by cultural and social specificities of Christchurch during the studied period. Results in other cultures and other historical periods may differ.

The study authors also note that only 5 participants were prescribed stimulant medication for their ADHD. This differs from the modern situation where people suffering from ADHD receive medication for their condition much more often. Finally, it remains unknown how much the association with the outcomes is due to ADHD symptoms and not due to other co-occurring conditions like autism spectrum disorder, a condition that was largely not diagnosed properly in the 1970s.

The paper, “Long-term outcomes associated with adolescent ADHD symptomatology: birth cohort study,” was authored by James A. Foulds, Joseph M. Boden, Jessica A. Kerr, Katie M. Douglas, Michaela Pettie, Jesse T. Young, Mairin R. Taylor, Katherine Donovan, and Richard Porter.

A study conducted in Taiwan found that autistic individuals tend to show differences in gut microbiota composition compared to both non-autistic individuals and their siblings without autism. More specifically, the autistic group showed distinct differences in the beta diversity of their gut microbiota. Individuals with more Anaerostipes bacteria exhibited significantly less social impairment and internalizing problems. The paper was published in Translational Psychiatry.

The gut microbiota is the complex community of microorganisms, mainly bacteria, that live in the human gastrointestinal tract. These microorganisms play a crucial role in digestion, metabolism, immune function, and protection against pathogens.

They also communicate with the central nervous system through a bidirectional communication pathway called the microbiota-gut-brain axis. Signals between the brain and the gut microbiota travel via multiple physiological paths, including the vagus nerve, immune system biochemicals, and microbial metabolites such as short-chain fatty acids.

Research shows that, through the microbiota-gut-brain axis, gut microbiota can influence brain development, stress reactivity, and emotional regulation. Differences in gut microbiota composition have been associated with psychological characteristics such as anxiety, depression, stress sensitivity, and cognitive functioning.

Experimental studies suggest that altering the gut microbiota through diet, probiotics, or antibiotics can lead to changes in mood and behavior. Early-life microbiota development appears particularly important for later psychological outcomes.

Study author Jung-Chi Chang and his colleagues wanted to investigate the associations between gut microbiota composition and autism features. They also wanted to compare microbial profiles between autistic individuals, their non-autistic siblings, and unrelated non-autistic individuals. The study authors hypothesized that gut microbiota diversity would differ between these three groups and that the gut microbiota composition of autistic individuals and their siblings would show unique features compared to non-autistic individuals.

The study included 239 autistic individuals, 102 non-autistic biological siblings of these individuals, and 81 unrelated non-autistic children and young adults from Taiwan. The average age of the autistic participants and their siblings was approximately 12 years, while the average age of the unrelated non-autistic participants was approximately 14. In general, participants’ ages ranged between 4 and 25 years.

Autistic participants were required to have a clinical diagnosis of autism. This diagnosis was confirmed through interviews conducted by the authors (using the Autism Diagnostic Interview-Revised and the Autism Diagnostic Observation Schedule). Non-autistic participants were required to have no diagnosis of psychiatric disorders or neurological or systemic medical conditions.

The study authors obtained information about participants’ autism-related behaviors and emotional and behavioral issues from their caregivers (using the Social Responsiveness Scale and the Child Behavior Checklist). Study participants provided fecal samples, allowing the authors to analyze the composition of their gut microbiota. Participants and their parents also reported any gastrointestinal symptoms the participants had experienced in the past 4 weeks.

Results showed that, compared to unrelated non-autistic participants, siblings of autistic individuals had higher alpha diversity, while autistic participants had a different beta diversity in their gut microbiota.

Alpha diversity of gut microbiota refers to the diversity of microbial species within a single individual or sample, reflecting the richness and evenness of the community. Beta diversity of gut microbiota reflects differences in microbial composition between individuals or samples, indicating how distinct their microbial communities are from one another.

Unrelated non-autistic participants had a higher relative abundance of Blautia, Eubacterium hallii group, Anaerostipes, Erysipelotrichaceae UCG 003, Parasutterella, and Ruminococcaceae UCG 013 at the genus level compared to autistic participants and their siblings. The family Prevotellaceae and genera Agathobacter microbes were more abundant in siblings of autistic participants compared to both autistic participants and unrelated non-autistic participants. Individuals with more Anaerostipes bacteria tended to have significantly less social impairment and internalizing problems.

“Our study reveals unique microbial compositions in the ASD [autism spectrum disorder] and SIB [siblings] groups and a relationship between behavior patterns and microbial composition. These findings suggest the potential of microbial interventions for autistic individuals that warrant further exploration,” the study authors concluded.

The study contributes to the scientific understanding of the links between gut microbiota composition and psychological processes and characteristics. However, it should be noted that the cross-sectional design of this study does not allow for causal inferences to be derived from the results.

The paper, “Identifying gut microbiota composition disparities in autistic individuals and their unaffected siblings: correlations with clinical characteristics,” was authored by Jung-Chi Chang, Yu-Chieh Chen, Hai-Ti Lin, Yan-Lin Chen, and Susan Shur-Fen Gau.

A study of infants during their first year of life conducted in Israel found that children with consistently small or large head circumferences had around three times higher odds of being diagnosed with autism compared to infants whose head circumference was consistently medium. These odds were 6–10 times higher in the 5% of infants with the smallest head circumferences and the 5% of infants with the largest head circumferences. The research was published in Autism Research.

Autism, or autism spectrum disorder, is a neurodevelopmental condition characterized by differences in social communication, social interaction, and patterns of behavior, interests, or sensory processing. It is described as a spectrum because the type and intensity of characteristics vary widely between individuals.

Autism typically emerges in early childhood, although it may be formally diagnosed later in life. Researchers have investigated ways to detect autism in early childhood, and some studies suggested that abnormal head growth patterns in infancy may be associated with a subsequent diagnosis of autism.

Other studies have reported that children later diagnosed with autism spectrum disorder sometimes have very small heads at birth, followed by a period of accelerated growth of the head during infancy. There is some evidence that such an accelerated pace of head growth might begin before birth.

Study author Rewaa Balaum and her colleagues wanted to explore the relationship between head growth patterns during the first year of life and a later diagnosis of autism. They conducted a longitudinal study in which they looked into head circumference and height development trajectories.

Study participants included 262 children with autism and 560 non-autistic children born in the Negev, southern Israel, between 2014 and 2017. Their head circumference and height data during the first year of life were available in the databases of mother-child health clinics operated by the Israeli Ministry of Health.

Seventy-eight percent of participating children were boys, and 77% were Jewish. The ethnic groups living in the Negev are mainly Jews and Bedouin Arabs. Children with autism were less likely to come from families of high socioeconomic status compared to the control group. They also tended to have somewhat lower weight at birth (3.24 kg vs 3.32 kg) and somewhat lower head circumference (34.18 cm vs 34.88 cm).

Head circumference and height measurements of these infants were taken on multiple occasions during their first year of life. Using these data, study authors grouped participating infants into seven categories based on their head growth trajectories.

These trajectories were: infants with consistently small heads, infants with medium head circumference throughout infancy, infants with consistently large heads, infants whose head circumference increased from small to medium, those whose heads increased from medium to large, infants whose heads were large in the early days but decreased to medium by the end of the first year, and those whose heads were medium at birth but decreased to small near the end of the first year.

Results showed that infants with consistently large and consistently small heads were the most likely to be diagnosed with autism later. Their odds of being diagnosed with autism were around three times higher compared to infants with consistently medium-sized heads. These odds were 6–10 times higher in the 5% of infants with the smallest heads and the 5% of infants with the largest head circumferences.

Crucially, the researchers found that these head growth patterns were strongly linked to height. Children with atypical head sizes also tended to have atypical heights. The highest risk for autism was observed in children who had both atypical head size and atypical height, rather than those with isolated head growth issues.

“Our findings suggest that the reported associations between atypical head growth during infancy and ASD [autism spectrum disorder] may be attributed to broader physical growth anomalies. This conclusion highlights the importance of a multifaceted, longitudinal examination of such anthropometric measures in studies of child development,” the study authors concluded.

The study contributes to the scientific understanding of autism. However, it should be noted that the study only looked at children in the first year of life. It remains unknown whether these growth patterns continue beyond this period. It also remains unknown how much these findings can be generalized to human populations outside southern Israel.

The paper, “Head Growth Trajectories During the First Year of Life and Risk of Autism Spectrum Disorder,” was authored by Rewaa Balaum, Leena Elbedour, Einav Alhozyel, Gal Meiri, Dikla Zigdon, Analya Michaelovski, Orly Kerub, and Idan Menashe.

A study of U.S. veterans found that their episodic visual memory, motor learning, and sustained visual attention improved after treatment for PTSD. The magnitude of these improvements was associated with PTSD symptom reduction. However, there were no differences in the effects of the two treatments applied – cognitive processing therapy and Sudarshan Kriya yoga. The paper was published in the Journal of Traumatic Stress.

Post-traumatic stress disorder (PTSD) is a mental health condition that can develop after a person experiences or witnesses a psychologically traumatizing event usually involving actual or threatened death, serious injury, or sexual violence. Such events include war and combat, physical or sexual assault, severe accidents, natural disasters, or sudden loss of a loved one.

Symptoms of PTSD include persistent intrusive memories or flashbacks, nightmares, avoidance of reminders of the trauma, negative changes in mood or beliefs, and heightened arousal, such as irritability or hypervigilance. These symptoms last longer than one month and cause significant distress or impairment in daily functioning.

PTSD is common among military veterans, first responders, refugees, and survivors of violence, but it can occur in anyone exposed to trauma. However, not everyone who experiences trauma develops PTSD, as individual vulnerability, prior experiences, and social support play important roles. PTSD often co-occurs with depression, anxiety disorders, or substance use problems.

Study author Zulkayda Mamat and her colleagues wanted to explore the changes in cognitive functioning of U.S. veterans after treatment for PTSD. They hypothesized that cognitive function would improve after treatment across domains known to be impaired in PTSD. These include attention, working memory, episodic memory, information processing speed, and executive functioning. They further hypothesized that these improvements would be proportional to the degree of improvement in PTSD symptoms.

The researchers recruited 85 U.S. veterans with clinically significant PTSD symptoms, 62 of whom completed both the baseline and post-treatment cognitive assessments. Ten of the initial participants were women. They were randomly divided into two groups. The average age of participants in the final analysis was roughly 58 for the cognitive processing therapy group and 61 for the yoga group.

Participants in the first group were assigned to undergo a type of trauma-focused therapy called cognitive processing therapy (CPT). The other group was to undergo Sudarshan Kriya yoga (SKY). The group undergoing CPT had two 1-hour sessions per week for 6 weeks, for a total of 12 hours. The yoga group started with a 5-day intensive workshop that lasted 3 hours per day. This was followed by twice-weekly group sessions for 6 weeks, for an additional total of 25 hours of contact time (approximately 40 hours total).

Cognitive processing therapy is a structured, evidence-based psychotherapy for post-traumatic stress disorder that helps individuals identify and modify unhelpful beliefs related to trauma in order to reduce distress and improve functioning. Sudarshan Kriya yoga is a structured breathing-based practice originating from yogic traditions that uses specific rhythmic breathing patterns to reduce stress, regulate emotions, and support mental well-being.

Before and after the treatments, participants completed assessments of PTSD symptom severity (using CAPS-5), depression (Beck Depression Inventory-II), and cognitive functioning (tests from the CANTAB battery). The cognitive functioning assessment looked into participants’ episodic visual memory and learning; visual, movement, and comprehension difficulties; visual sustained attention; and working memory and strategy use.

The results showed that the cognitive functioning of participants from both groups improved after both treatments. More specifically, participants showed moderate improvements in visual memory, motor learning, and visual sustained attention. However, performance in spatial working memory declined in both groups.

The magnitude of improvements was similar in the two groups – there were no significant differences between participants who underwent cognitive processing therapy and those who participated in yoga workshops regarding the magnitude of cognitive improvements. Changes in overall cognitive functioning were associated with PTSD symptom reduction across the full sample. However, exploratory analyses indicated that this correlation was statistically significant only within the cognitive processing therapy group, not the yoga group.

“Regardless of treatment, cognitive function improved alongside PTSD symptom reduction. These findings provide evidence that treating PTSD not only alleviates PTSD symptoms but may also improve associated cognitive function,” the study authors concluded.

The study contributes to the scientific knowledge about PTSD treatment. However, it should be noted that cognitive improvements were observed equally in both groups without a passive control group (such as a waitlist). Therefore, while the two treatments appeared equally effective, it remains unclear whether the cognitive improvements resulted strictly from the treatments or from other processes not considered in the study, such as practice effects or the natural passage of time.

The paper, “Cognition improvement in U.S. veterans undergoing treatment for posttraumatic stress disorder: Secondary analyses from a randomized controlled trial,” was authored by Zulkayda Mamat, Danielle C. Mathersul, and Peter J. Bayley.

An analysis of the 2019-2024 New Zealand Attitudes and Values Study data revealed that support for free speech has been decreasing during this period across all age groups. In contrast, there was little change in the level of support for restricting hate speech. The research was published in Political Psychology.

Free speech is the right of individuals to express ideas, opinions, and information without undue interference or punishment from authorities. It includes spoken words, writing, art, protest, and other forms of expression. Free speech allows people to criticize those in power and hold governments accountable. It supports the search for truth by allowing competing ideas to be debated openly.

Free speech protects individual autonomy by respecting people as thinking agents capable of forming their own views. In democratic societies, free speech enables informed voting and meaningful public participation. It helps minorities and marginalized groups voice their experiences and challenge dominant narratives. Without free speech, fear and conformity tend to replace creativity and innovation. For these reasons, free speech is widely seen as a foundation of free, pluralistic, and resilient societies.

In spite of this, some argue that the right to free speech should be restricted at least in some cases. Traditionally, arguments for this have been focused on maintaining social order and reducing security risk. However, in recent decades, arguments in favor of restricting free speech as a way to protect marginalized groups have become more common. Offensive or disparaging speech targeting groups based on race, religion, gender, or sexuality has generated tensions between the support for free speech and the need to promote social inclusion of these groups.

Study author Maykel Verkuyten and his colleagues wanted to examine the contributions of age, time period, and generation of birth to changes in attitudes toward free speech and hate speech restrictions in New Zealand. They note that support for free speech in New Zealand is likely to be high, but that minority group members might be more supportive of hate speech restriction than majority members because they are typically the target of speech that denigrates their ethnic or racial identity.

These authors analyzed data from the New Zealand Attitudes and Values Study collected between 2019 and 2024. The analysis included data belonging to 50,662 participants who responded to questions of interest for this analysis at least once over the five annual assessments conducted in this period.

The respondents provided the data used in this analysis by rating on a scale from 1 to 7 how strongly they support free speech (“Although I may disagree with the opinions that other people hold, they should be allowed to express those views publicly.”) and how strongly they support restriction of hate speech (“People who hold opinions that are harmful or offensive to minority groups should be banned from expressing those views publicly.”).

Results showed that, in the examined period, general support for free speech has decreased across all age groups (all birth cohorts). This was the case both in ethnic majority and minority groups. In contrast, support for restricting hate speech was relatively stable in this period. This was particularly the case among ethnic minority groups.

“Free speech is critical for liberal democracies to function well, but it has limits. Traditionally, concerns about social order and security are considered to justify free speech restrictions, but increasingly there is a focus on possible offense and harm to minority groups. The increased prominence of egalitarian norms and values may ultimately lead to lower tolerance of speech that is considered to harm the status, dignity, and well-being of minority groups,” the study authors concluded.

The study contributes to the scientific knowledge about changes in support for free speech and speech restrictions in New Zealand. However, it should be noted that both support for free speech and for restricting hate speech were self-reported using only single items. Studies using more objective or more comprehensive measures of these attitudes might produce different results.

The paper, “Changes in support for free speech and hate speech restrictions: Cohort, aging, and period effects among ethnic minority and majority group members,” was authored by Maykel Verkuyten, Kumar Yogeeswaran, Elena Zubielevitch, Kieren J. Lilly, and Chris G. Sibley.

A 12-month longitudinal study found that infants who are put to bed with a bottle at 2 months of age tended to display more sleep problems at 6 months of age. They needed a longer time to fall asleep, spent more time awake, and woke up during the night more often. Mothers of infants who displayed more sleep problems at 6 months of age were more likely to keep putting them to bed with a bottle at 14 months of age. The paper was published in the Journal of Sleep Research.

Many infants have sleep problems, particularly in the first year of life. These include difficulty falling asleep, frequent or prolonged night wakings, short nighttime sleep duration, and an inability to soothe themselves back to sleep. These problems are important because they are linked to later risks for both child and family well-being.

Poor infant sleep has been associated with outcomes such as overweight, obesity, and difficulties in emotional and behavioral regulation. Sleep problems also affect parents, contributing to higher depressive symptoms, lower energy, and less adaptive parenting practices. Research suggests that infant sleep and parenting behaviors influence each other in a bidirectional, transactional way over time.

One parenting practice of interest is putting an infant to bed with a bottle, which is believed to interfere with the infant’s ability to self-soothe to sleep. Feeding infants to sleep is associated with shorter nighttime sleep duration, more frequent night wakings, and greater sleep fragmentation. Expert guidance therefore emphasizes putting infants to bed while drowsy but still awake, rather than using feeding as a sleep aid.

Providing a bottle at bedtime has also been identified as a feeding practice that promotes obesity, linking sleep routines to physical health outcomes. Poor infant sleep may, in turn, increase parents’ reliance on bottle-to-bed practices as a way to manage nighttime distress.

Study author Esther M. Leerkes and her colleagues wanted to examine associations between putting the infant to bed with a bottle and maternal-reported infant sleep problems. They conducted a 12-month longitudinal study in which they followed a group of infants and their mothers from the infants’ 2nd month of life until the infants were 14 months old.

Pregnant women in their third trimester were recruited in and around Guilford County, North Carolina, to participate in the Infant Growth and Development Study. The primary goal of that larger study was to identify early life predictors of childhood obesity. Originally, 299 women were recruited. The average age of these mothers was approximately 30 years (mean age 29.71).

Data from participating women were collected when their infants were 2 months, 6 months, and 14 months old. 90% of these women provided data at the 2-month wave, 81% at 6 months, and 76% at 14 months.

Mothers reported how often they put their infant to bed with a bottle of formula, breast milk, juice, juice drink, or any other kind of milk by providing ratings on a 5-point scale. They reported infants’ sleep problems using the Brief Infant Sleep Questionnaire.

The study authors included data on maternal education, race, and their participation in the Women, Infant and Children Special Food Supplemental Program (WIC) in their analyses. They also controlled for maternal depressive symptoms, maternal sleep quality, breastfeeding status, and weekly work hours. WIC is a U.S. federal nutrition assistance program that provides supplemental foods, nutrition education, and health referrals to low-income pregnant women, new mothers, infants, and young children.

Results showed that infants who were put to bed with a bottle more frequently at 2 months of age tended to display more sleep problems at 6 months of age. They needed a longer time to fall asleep, spent more time awake at night, and had more frequent night wakings.

Mothers whose infants woke up more frequently and less time sleeping during the night at 6 months were more likely to be putting them to bed with a bottle at 14 months of age.

“In conclusion, putting infants to bed with a bottle and infant sleep problems influence one another across infants’ first year and into their second year. Given infant sleep problems are a predictor of maladaptive infant, parent and family outcomes, efforts to prevent parental use of this strategy are important to promote infant and parent well-being,” the study authors concluded.

The study contributes to the scientific knowledge about infant sleep patterns. However, it should be noted that both infants’ sleep quality and bottle-to-bed practices were reported by mothers, leaving room for reporting and common method bias to have affected the results.

The paper, “Transactional Associations Between Bottle to Bed and Infant Sleep Problems Over the First Year,” was authored by Esther M. Leerkes, Agona Lutolli, Cheryl Buehler, Lenka Shriver, and Laurie Wideman.

A longitudinal study of adolescents from the Chicago metropolitan area found that in female, but not in male adolescents, higher exposure to violence was associated with more severe depression symptoms. In males, depression was associated with the expansion of the salience network of the brain and with increased connectivity of this network. The paper was published in Translational Psychiatry.

Violence exposure in this study was defined as experiencing, witnessing, or being repeatedly confronted with acts of interpersonal physical violence, such as being shoved, kicked, punched, or attacked with a weapon. It is a major risk factor for mental health problems, increasing the likelihood of all types of psychopathology.

Childhood adversities such as physical abuse and family violence account for a substantial proportion of psychiatric disorders that emerge during adolescence. This period is especially sensitive because key social and emotional brain systems are still developing. Exposure to violence during adolescence is associated with maladaptive emotion regulation strategies, such as rumination and emotional suppression, which contribute to rising rates of depression.

Although males are more likely to be exposed to or witness violence, females tend to show higher levels of depression during adolescence. Some evidence suggests that violence exposure places females at greater risk for internalizing problems (psychological difficulties directed inward), particularly depression and anxiety.

One explanation is that females may be more reactive to interpersonal stressors and show stronger physiological and neural responses to threat following violence exposure. Another proposed mechanism is perceived lack of control, as stressors experienced as uncontrollable are strongly linked to depressive outcomes.

Violence exposure may also alter brain systems involved in detecting and responding to threat, such as the salience network, making individuals more vigilant to potential danger. The salience network is a large functional neural network composed of multiple interconnected regions in the brain that detects and prioritizes behaviorally and emotionally important stimuli, helping the brain switch attention between internal thoughts and external demands.

Study author Ellyn R. Butler and her colleagues wanted to explore whether features of the salience network of the brain such as connectivity and expansion (the proportion of the cortex utilized by the network) may explain the association between exposure to violence and depression in adolescents. Study authors hypothesized that males experience more instances of violence than females and that depression symptoms will increase in individuals exposed to violence. They expected that this increase in depression symptoms after exposure to violence will be greater among females and that it will be accompanied by the expansion of the salience network.

Study participants were 220 adolescents between 14 and 18 years of age from the Chicago metropolitan area. Study authors intentionally prioritized adolescents from low-income neighborhoods for inclusion in the study. 141 of them were females. 38% were Black, and 30% were Hispanic. On average, they were exposed to 1.8 violent events in the past year.

Study participants provided study data twice – at the start of the study, and 2 years later. They completed an assessment of exposure to violence (a set of 7 questions about participants or their friends or family members being physically hurt, attacked, or killed) and assessments of depression and anxiety symptoms (the Revised Child Anxiety and Depression Scale).

Participants also underwent functional magnetic resonance imaging (fMRI) of their brains. The study authors used these fMRI data to derive information about connectivity and size of participants’ salience networks at both time points to control for baseline levels.

Results showed that female participants reporting greater exposure to violence tended to report more severe depressive symptoms. This association was not present in male participants. Salience network expansion or connectivity were not associated with exposure to violence in the past year.

However, greater expansion of the salience network and its greater connectivity were associated with more severe depressive symptoms in male participants. Study authors note that both of these associations remained after controlling for depression at the start of the study, indicating that exposures that impact males’ depression through the salience network may occur during middle adolescence.

“We demonstrated that salience network expansion and connectivity are positively associated with depression among males even after controlling for depression two years prior, highlighting that it is likely that males are experiencing some type of adversity that increases connectivity within the salience network, expansion of the salience network, and depression during this time period in early- to mid-adolescence. Therefore, future efforts to determine which exposures lead to depression during adolescence in males should focus on this developmental time frame,” the study authors concluded.

The study contributes to the scientific understanding of the neural underpinnings of depression. However, both depressive symptoms and exposure to violence in this study were self-reported, leaving room for reporting bias to have affected the results.

The paper, “Sex differences in response to violence: role of salience network expansion and connectivity on depression,” was authored by Ellyn R. Butler, Noelle I. Samia, Amanda F. Mejia, Damon D. Pham, Adam Pines, and Robin Nusslock.