Written by 8:57 am AI, Healthcare

### AI Pinpoints the Head Area Affected by Illness

Scientists have moved a step closer to understanding the basis of the hallucinations and delusions …

A longstanding hypothesis regarding the occurrence of abrupt deviations from reality in individuals may find validation through recent brain imaging studies involving those afflicted by a specific ailment.

The theory posits that during illness, the neural networks responsible for directing one’s focus may malfunction, leading to the perception of hallucinations—sensory experiences that are not grounded in reality—and delusions—firmly held false beliefs. While schizophrenia is a component of severe mental illnesses, its symptoms are persistent and can manifest independently of other psychological conditions.

Understanding the precise neurological mechanisms underlying schizophrenia has long eluded scientists, partly due to the challenge of differentiating between mental alterations attributed to the condition itself and those induced by antipsychotic medications commonly used in research settings.

The recent brain imaging study aimed to elucidate the primary pathways contributing to early-onset schizophrenia, potentially enabling earlier detection of symptoms and more efficacious treatment options. This study was published on April 11 in the journal Molecular Psychiatry.

Notably, these abnormalities do not emerge until one’s twenties; as noted by the lead researcher Kaustubh Supekar, a clinical associate professor at Stanford University School of Medicine, these anomalies may be detectable as early as 7 or 8 years of age.

To investigate these deviations, the study focused on individuals aged 6 to 39 with a rare genetic anomaly linked to schizophrenia known as 22q11.2 deletion syndrome. Individuals with this disorder may exhibit a loss of genetic material on chromosome 22, along with an increased risk of various other conditions such as cardiac abnormalities, attention-deficit/hyperactivity disorder (ADHD), and autism. Moreover, those affected by this syndrome have a roughly 30% likelihood of experiencing psychosis or schizophrenia.

Employing functional magnetic resonance imaging (fMRI) to track changes in cerebral blood flow associated with neural activity, the study involved nearly 900 participants, including individuals with 22q11.2 deletion syndrome, some with schizophrenia, and others without, as well as a control group with “psychosis of unknown etiology.”

Furthermore, the research encompassed individuals without a history of psychosis for comparative analysis, along with individuals diagnosed with ADHD—a comprehensive approach rarely seen in classification studies, as highlighted by Dr. Rick Adams, a mental health science expert from University College London.

Utilizing a novel machine learning algorithm developed in collaboration with machine learning experts, the researchers identified distinct patterns in the brain scans. These patterns, unique to individuals with 22q11.2 deletion syndrome and associated psychosis, were localized in key components of the brain’s salience network, responsible for regulating attention and discerning relevant stimuli.

The study’s findings shed light on the neural underpinnings of schizophrenia, specifically within the context of 22q11.2 deletion syndrome, offering insights into the brain regions crucial for directing attention and processing salient information. Future investigations aim to explore the therapeutic implications of stimulating these critical brain regions in high-risk individuals and to elucidate the impact of antipsychotic medications on the brain’s salience network.

For inquiries or submissions related to brain function or health, individuals are encouraged to contact community@livescience, with the possibility of having their questions addressed on the website under the “Health Desk Q” segment.

Visited 2 times, 1 visit(s) today
Tags: , Last modified: April 17, 2024
Close Search Window
Close