Add BrightSurf on Google Email

Finding the right memory strategy to slow cognitive decline

A new study led by researchers from the University of Michigan and Penn State College of Medicine compared two approaches for people with early form of memory loss: mnemonic strategy training and spaced retrieval training. Mnemonic strategy training showed increased brain activity in areas often affected by Alzheimer's disease, while s...

SourceMichigan Medicine - University of Michigan·JournalAlzheimers Disease & Dementia·TypeRandomized controlled/clinical trial·DateJul 22, 2022

Racial discrimination affects brain microstructure

A new study finds that racial discrimination affects brain microstructure, increasing the risk for health disorders in Black women. Traumatic experiences lead to changes in brain white matter tracts, which may enhance risk for negative health outcomes.

SourceElsevier·JournalBiological Psychiatry Cognitive Neuroscience and Neuroimaging·TypeImaging analysis·DateJul 20, 2022

An appetite map in the brain

A recent study published in Nature has identified a complex neural network in the fruit-fly brain that shapes behavior and decision-making, particularly when it comes to food choice. The 'appetite map' created by the researchers reveals how internal states, such as nutrient deficiencies and pregnancy, interact to guide behavior.

SourceChampalimaud Centre for the Unknown·JournalNature·TypeExperimental study·DateJul 6, 2022

How to MRI your dragon: Illinois researchers develop first bearded dragon brain atlas

Researchers at the University of Illinois Urbana-Champaign created a high-resolution map of the bearded dragon's brain, providing a standardized protocol for future clinical cases. The study identified nine anatomic structures in the brain and developed a safe and efficient MRI and sedation protocol.

SourceBeckman Institute for Advanced Science and Technology·JournalFrontiers in Veterinary Science·TypeImaging analysis·DateJun 28, 2022

Major expansion of open-source neuroimaging data set to boost stroke recovery research

A newly expanded data set of brain scans from stroke patients called ATLAS now includes 1,271 MRI images with manually segmented lesions, facilitating large-scale stroke recovery research. Researchers hope to develop algorithms to automate lesion segmentation, enabling clinicians to predict patient responses to therapies.

SourceKeck School of Medicine of USC·JournalScientific Data·TypeImaging analysis·DateJun 27, 2022

How MRI and CT predict flap failure after head and neck reconstructive cancer surgery

Researchers used CT and MRI perfusion techniques to analyze 19 patients with successful free flap reconstruction and five with wound failure. The study found that both methods showed significant differences between the two patient groups. Early postoperative scans could help surgeons intervene earlier, potentially reducing hospital stays.

SourceMichigan Medicine - University of Michigan·JournalAmerican Journal of Neuroradiology·TypeRandomized controlled/clinical trial·DateJun 23, 2022

Single brain scan can diagnose Alzheimer’s disease

A new approach uses a single magnetic resonance imaging (MRI) brain scan to diagnose Alzheimer's disease with high accuracy, identifying changes in regions not previously associated with the condition. This method has the potential to revolutionize diagnosis and treatment, allowing for early intervention and improved patient outcomes.

SourceImperial College London·JournalCommunications Medicine·DateJun 20, 2022

A better characterization of disinhibition in frontotemporal degeneration

Researchers developed a semi-ecological approach combining behavioral assessment and brain imaging to assess disinhibition in frontotemporal degeneration. The study found that compulsivity and social disinhibition are key components of the symptom, which can be distinguished using neuroanatomical correlates.

SourceInstitut du Cerveau (Paris Brain Institute)·JournalNeuroImage Clinical·TypeObservational study·DateJun 20, 2022

Groundbreaking study shows substantial differences in brain structure in people with anorexia

A new study by an international group of researchers has found substantial reductions in grey matter in people with anorexia nervosa, a condition characterized by severe food restriction and low body weight. Early intervention and treatment can help the brain repair itself, according to the research team led by Dr. Paul M. Thompson.

SourceKeck School of Medicine of USC·JournalBiological Psychiatry·TypeMeta-analysis·DateJun 14, 2022

HKUST researchers demonstrate near-non-invasive In-vivo imaging in mouse cortex at an unprecedented depth

A HKUST research team developed a microscope combining 3PM with adaptive optics, achieving high-resolution imaging of neuronal structures in mouse cortices up to 750µm below the skull. This technology holds great potential to advance in-vivo imaging techniques and facilitate study of living brain.

SourceHong Kong University of Science and Technology·JournalNature Biotechnology·DateJun 13, 2022

Brain scans remarkably good at predicting political ideology

A recent study published in PNAS Nexus found that brain scans can accurately predict a person's political ideology, regardless of whether they are performing tasks or simply thinking. The study used functional magnetic resonance imaging (fMRI) scans and artificial intelligence techniques to analyze the brain activity of 174 healthy adu...

SourceOhio State University·JournalPNAS Nexus·TypeImaging analysis·DateJun 2, 2022

New ultrasound tool measures blood flow, images microvasculature in the brain

Researchers developed a new ultrasound localization microscopy technique to image blood vessels and measure blood flow in the brain. The method uses microscopic bubbles as a contrast agent and accelerates post-processing to 10-30 seconds, enabling rapid imaging of whole-brain microvasculature.

SourceBeckman Institute for Advanced Science and Technology·JournalIEEE Transactions on Medical Imaging·TypeExperimental study·DateJun 1, 2022

COVID-19: Small study suggests maternal psychological distress during the pandemic may be associated with altered fetal brain development

A small study suggests that maternal psychological distress during the COVID-19 pandemic may be associated with changes in the brain of developing fetuses. The study found decreased brain structure and volumetric measures in fetuses from the pandemic cohort compared to the pre-pandemic cohort.

SourceScientific Reports·JournalCommunications Medicine·DateMay 26, 2022

Scientists build subcellular map of entire brain networks

Researchers have developed an imaging technique to capture information about brain tissue at the subcellular level, combining seven methods to visualize neural networks and individual cells. This approach allows for a complete picture of brain structure and function, overcoming challenges of imaging tissues at different scales.

SourceThe Francis Crick Institute·JournalNature Communications·TypeExperimental study·DateMay 25, 2022

Using light and sound to reveal rapid brain activity in unprecedented detail

Biomedical engineers at Duke University have created a method to scan and image the blood flow and oxygen levels inside a mouse brain in real-time. The new imaging approach breaks long-standing speed and resolution barriers, enabling researchers to uncover insights into neurovascular diseases like stroke, dementia, and acute brain injury.

SourceDuke University·JournalLight Science & Applications·TypeImaging analysis·DateMay 19, 2022

New research maps how the brain changes during depression treatment

Researchers have mapped the brain's changes during depression treatment using repetitive transcranial magnetic stimulation (rTMS). The study found that certain brain regions activated by rTMS were associated with better treatment outcomes. This new understanding could lead to improved diagnosis and treatment of depression.

SourceUniversity of British Columbia·JournalAmerican Journal of Psychiatry·TypeRandomized controlled/clinical trial·DateMay 18, 2022

New advances in brain region targeting may support future research in treating visual hallucinations in psychiatric patients

Recent advances in neuroimaging technology show promise in helping tES to effectively treat visual hallucinations (VH) in psychiatric disorders. These advances, combined with individualized modeling techniques and advanced electrical field modeling, may provide a sound foundation for subsequent research on using VH.

SourceWolters Kluwer Health·JournalHarvard Review of Psychiatry·DateMay 13, 2022

Recognizing an impending stroke

Researchers have identified a biomarker that indicates high risk of impending stroke post-subarachnoid hemorrhage, enabling early treatment initiation in comatose patients. Electrodiagnostic monitoring detects 'spreading depolarizations' caused by toxic by-products of blood breakdown, allowing clinicians to intervene before it's too late.

Grey matter volume could inform treatment decisions for developing mental health disorders

A new study by researchers at the University of Birmingham has identified two distinct brain structure patterns associated with poor outcomes in patients with recent onset psychosis and depression. The study used MRI scans to analyze grey matter volume and found that lower volumes were linked to poorer outcomes, while higher volumes we...

SourceUniversity of Birmingham·JournalBiological Psychiatry·TypeExperimental study·DateApr 12, 2022

HKUST researchers develop long-term in vivo imaging technique to better understand and treat spinal cord injury

A research team at HKUST has developed a long-term in vivo imaging technique to study spinal cord injury, allowing for repeated and stable imaging without triggering inflammation. The breakthrough enables researchers to track microglia and understand their interaction with degenerating and regenerating axons.

SourceHong Kong University of Science and Technology·JournalNature Communications·TypeExperimental study·DateApr 12, 2022

Brain charts map the rapid growth and slow decline of the human brain over our lifetime

Researchers created brain charts spanning human lifespan, revealing rapid brain growth in early life and slow decline with age. The charts use aggregated MRI datasets, covering a range of ages from fetus to 100-year-old adult, and aim to create a common language for describing brain development and maturation.

SourceUniversity of Cambridge·JournalNature·TypeComputational simulation/modeling·DateApr 6, 2022

Improving the targeted treatment of movement disorders

Dystonia is characterized by involuntary movements and postures, limiting daily activities. A new study maps specific brain networks for treatment success in patients with cervical and generalized dystonia. The findings reveal distinct stimulation sites depending on the type of dystonia, offering a more targeted approach to improving t...

SourceCharité - Universitätsmedizin Berlin·JournalProceedings of the National Academy of Sciences·DateApr 1, 2022

New computational model proposed for Alzheimer's disease

Mayo Clinic researchers propose a novel computational model that links Alzheimer's disease symptoms to brain anatomy, revealing a complex relationship between mental processing and brain function. The model uses machine learning to analyze patient brain imaging data and compresses complex brain anatomy into a conceptual framework.

SourceMayo Clinic·JournalNature Communications·DateMar 28, 2022