Understanding the arrow of time across scales and complexity

Review written by Qiwei Yu (G2, Biophysics)

The stream of time flows inevitably forward and stops for no one. This one-way direction defines an “arrow of time”, which we perceive through the lens of irreversible processes that occur in both inanimate and living worlds. Irreversibility is manifested at both microscopic and macroscopic scales, ranging from the dissolution of an ink droplet in water to the concerted flight of large flocks of birds.

Continue reading "Understanding the arrow of time across scales and complexity"

Isolation Disorganizes Typical Social Interaction and Whole-Brain Genetic Expression in the Bumblebee

Review written by Adelaide Minerva (PNI, G4) and Rebekah Rashford (PNI, G5)

Throughout the COVID pandemic, many of us were faced with profound levels of social isolation which took a toll on both our mental and physical health. This has been especially detrimental for children, whose brains and social skills are still developing. Normally, social experience in early life plays a crucial role in guiding this development; but what happens when that guidance is no longer present? Disruptions to the early social environment have been seen to negatively impact other social species besides humans, such as mice, fish, and some insects. Studying how social isolation may disrupt the development of these highly social species can provide insight into the neural mechanisms underlying  both typical and aberrant behavior at a level of detail not currently possible in human subjects. Taking advantage of one of these highly social species, Dr. Yan Wang and colleagues in the departments of Ecology & Evolutionary Biology and the Center for Biophysics at Princeton used bumblebees to measure the effects of early life social isolation on behavior, gene expression, and whole-brain neuroanatomy. 

Continue reading "Isolation Disorganizes Typical Social Interaction and Whole-Brain Genetic Expression in the Bumblebee"

Using Machine Learning to Better Understand Human Behavior

Review written by Paula Brooks (NEU, G6)

How similar are bears and bulls?

If you ask a biologist, she might say that they are pretty similar, since they are both four-legged mammals found in North America. However, if you ask an economist, he might say they are polar opposites, since they are used to describe distinct stock market conditions. The unique way in which individuals organize their semantic knowledge, or general information gained through life experiences, could cause two people to judge the similarity between two animals in very different ways.

Continue reading "Using Machine Learning to Better Understand Human Behavior"

Early life adversity can induce pathological avoidance behaviors in mice, but males with suppressed neurogenesis may step out of their comfort zones

Review written by Amy Ciceu (NEU, 2024)

Early life adversity, ranging from physical and emotional abuse, neglect, and violence, to poverty and unstable home environments, can have an enduring toll on child development. Some children who experience early life adversity may experience detrimental effects in the moment but develop into adults without pathological behavior. On the other hand, for certain children, the impacts of early life adversity increase the likelihood that they will develop neuropsychiatric disorders as adults. For instance, anxiety disorders are more prevalent amongst survivors of early life adversity compared to the general population. Although diverse in the symptoms they present and the treatments they require, anxiety disorders share one feature in common: heightened levels of anxiety. Normally, anxiety helps us steer clear of dangers. However, if ramped up into overdrive, excessive levels of anxiety can fuel a range of maladaptive behaviors.

Continue Reading

Socioeconomic status effects on human health have evolved with industrialization

Review written by Kimberly Sabsay (QCB, G3)

Socioeconomic status (SES), often simplified as absolute material wealth, is often linked to a variety of human health metrics. At a fundamental level, it makes sense that higher SES likely corresponds with access to better medical services, and in turn, better overall health. Studies have shown that, indeed, higher SES is associated with better human health, but the majority of this data comes from high-income countries (HICs). Despite the growing amount of scientific evidence for the apparent gradients in disease risk and survival explained by access to medical care and other health-related lifestyle factors, we cannot be certain that these trends are universal. Understanding the relationship between SES and health is crucial for policy design and to ensure we make economic decisions that do not negatively impact overall human health. Ultimately, the relationships between SES and health can be used to motivate positive change that benefits all of humanity.

Continue Reading