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Common brain network for psychiatric illness discovered

Psychiatric illnesses, such as schizophrenia and depression, affect nearly one in five adults in the United States and nearly half of patients diagnosed with a psychiatric illness also meet the criteria for a second. With so much overlap, researchers have begun to suspect that there may be one neurobiological explanation for a variety of psychiatric illnesses. A new study by investigators from Brigham and Women’s Hospital, a founding member of the Mass General Brigham healthcare system, investigated four pre-existing, publicly available neurological and psychiatric datasets, and pinpointed a network of brain areas underlying psychiatric illnesses. Their results are published in Nature Human Behavior.

“Traditionally, neurology and psychiatry have different diagnostic strategies,” said corresponding author Joseph J. Taylor, MD, Ph.D., Medical Director of Transcranial Magnetic Stimulation at the Brigham’s Center for Brain Circuit Therapeutics and an associate psychiatrist in the Brigham’s Department of Psychiatry. “Neurology asks: ‘Where is the lesion?’ and psychiatry asks: ‘What are the symptoms?’ We now have tools to explore the ‘where’ question for psychiatry disorders. In this study, we examined whether psychiatric disorders share a common network.”

The researchers began by analyzing a set of structural brain data from over 15,000 healthy controls as well as patients diagnosed with schizophrenia, , depression, addiction, obsessive-compulsive disorder, or anxiety. They found gray matter decreases in anterior cingulate and insula, two commonly associated with psychiatric illness. However, only a third of studies showed gray matter decreases in these brain regions. Additionally, also showed gray matter decreases in these same regions.

Does Our Consciousness Continue After Death?

What is the experience of death? Can one’s consciousness continue after death and if so, for how long?

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Automated hippocampal unfolding for morphometry and subfield segmentation with HippUnfold

Just published from my son.

Automatic hippocampus imaging, with about 20 minutes of cloud computing per scan.


Like neocortical structures, the archicortical hippocampus differs in its folding patterns across individuals. Here, we present an automated and robust BIDS-App, HippUnfold, for defining and indexing individual-specific hippocampal folding in MRI, analogous to popular tools used in neocortical reconstruction. Such tailoring is critical for inter-individual alignment, with topology serving as the basis for homology. This topological framework enables qualitatively new analyses of morphological and laminar structure in the hippocampus or its subfields. It is critical for refining current neuroimaging analyses at a meso-as well as micro-scale. HippUnfold uses state-of-the-art deep learning combined with previously developed topological constraints to generate uniquely folded surfaces to fit a given subject’s hippocampal conformation. It is designed to work with commonly employed sub-millimetric MRI acquisitions, with possible extension to microscopic resolution. In this paper, we describe the power of HippUnfold in feature extraction, and highlight its unique value compared to several extant hippocampal subfield analysis methods.

Keywords: Brain Imaging Data Standards; computational anatomy; deep learning; hippocampal subfields; hippocampus; human; image segmentation; magnetic resonance imaging; neuroscience.

© 2022, DeKraker et al.

Controversy erupts over non-consensual AI mental health experiment

On Friday, Koko co-founder Rob Morris announced on Twitter that his company ran an experiment to provide AI-written mental health counseling for 4,000 people without informing them first, The Verge reports. Critics have called the experiment deeply unethical because Koko did not obtain informed consent from people seeking counseling.

On Discord, users sign into the Koko Cares server and send direct messages to a Koko bot that asks several multiple-choice questions (e.g., “What’s the darkest thought you have about this?”). It then shares a person’s concerns—written as a few sentences of text—anonymously with someone else on the server who can reply anonymously with a short message of their own.

New research identifies a cognitive mechanism linked to reduced susceptibility to fake news

Insightfulness might play a critical role in the ability to assess the accuracy of information, according to new research published in the journal Thinking & Reasoning. The study found that people with greater insight-based problem solving skills were less likely to fall for fake news.

With rise of the internet and social media, susceptibility to misinformation has become of increasing concern. The authors of the new research sought to better understand the cognitive mechanisms associated with believing in misinformation. They were particularly interested in the role of insight-based problem solving.

“I’m a neuroscientist and study the neural correlates of creativity and idea generation, specifically how we generate ideas accompanied by ‘Aha! moments’ i.e., insights,” said study author Carola Salvi, a professor at the John Cabot University of Rome and an associate faculty member at the University of Texas at Austin. “In this study, we investigated the relationship between insightfulness and aspects of social reasoning, such as believing in fake news, overclaiming, and bullshit.”

Scientists Find Something Strange in Brain Scans of Kids Hooked on Social Media

It’s no secret that social media use can change adult brain anatomy, but a new study suggests that it may impact the developing brains of adolescents in profound ways as well.

Researchers from the University of North Carolina have found, in one of the first studies of its kind, that habitually checking social feeds may change the ways early adolescents process social rewards and punishments — changes concrete enough that they can be seen as distinct and divergent neural pathways in brain scans.

Published in the Journal of the American Medical Association Pediatrics, the paper found significant changes to the amygdala, the bit of grey matter in the brain associated with memory and emotions, in the brains of the 169 tween study participants from a rural North Carolina middle school.

Earlier Health Conditions Tied to Subsequent Dementia

Some health conditions associated with appeared early and consistently long before diagnosis, while others became significant much later, a cohort study suggested.

For people with a subsequent diagnosis of Alzheimer’s disease, the earliest and most consistent associations at all time points over a 15-year span included depression, erectile dysfunction, gait abnormalities, hearing loss, and nervous and musculoskeletal symptoms, reported Lori Beason-Held, PhD, of the National Institute on Aging in Baltimore, and co-authors.

For those eventually diagnosed with vascular, the earliest and most consistent associations across 13 years were an abnormal electrocardiogram (EKG), cardiac dysrhythmias, cerebrovascular disease, non-epithelial skin cancer, depression, and hearing loss, the researchers reported in Annals of Neurology.

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