The Research

Prediction of cerebrospinal fluid intervention in fetal ventriculomegaly via AI-powered normative modelling.

AJNR. American journal of neuroradiology

Zhou M, Rajan SA, Nedelec P, Bayona JB, Glenn O, Gupta N, Gano D, George E, Rauschecker AM

Bladder control side-effects of deep brain stimulation for major depressive disorder related to recruitment of distinct subcomponents of the anterior limb of the internal capsule.

Brain stimulation

Sellers KK, Sugrue LP, Tremblay-McGaw AG, Becker NC, Nedelec P, Hamlat EJ, Chang EF, Krystal AD

Use of FDG-PET in Balamuthia mandrillaris Amebic Encephalitis.

Annals of neurology

Leon KE, Rauschecker AM, Chow FC

DNA methylation age from peripheral blood predicts progression to Alzheimer's disease, white matter disease burden, and cortical atrophy.

NPJ dementia

Bonham LW, Sirkis DW, Pang APS, Sugrue LP, Santamaría-García H, Ibáñez AM, Miller BL, Yokoyama JS, Corley MJ, Alzheimer’s Disease Neuroimaging Initiative

One System to Rule Them All? Task- and Data-specific Considerations for Automated Data Extraction.

Radiology. Artificial intelligence

Tejani AS, Rauschecker AM

Enhancing Large Language Models with Retrieval-Augmented Generation: A Radiology-Specific Approach.

Radiology. Artificial intelligence

Weinert DA, Rauschecker AM

Detecting New Lesions Using a Large Language Model: Applications in Real-World Multiple Sclerosis Datasets.

Annals of neurology

Poole S, Sisodia N, Koshal K, Henderson K, Wijangco J, Paredes D, Chen C, Rowles W, Akula A, Wuerfel J, Sharma V, UCSF Multiple Sclerosis and Neuroinflammation Center clinicians, Rauschecker AM, Henry RG, Bove R

Rapid resolution of depression and epilepsy following resection of a septal region tumor: illustrative case.

Journal of neurosurgery. Case lessons

Starkweather CK, Sugrue LP, Nedelec P, Krystal AD, Knowlton RC, Chang EF

Invasive Brain Mapping Identifies Personalized Therapeutic Neuromodulation Targets for Obsessive-Compulsive Disorder.

medRxiv : the preprint server for health sciences

Lee AM, Kist A, Alvarez J, Sellers KK, Khambhati AN, Sugrue LP, Reid LB, Kadlec K, Fan JM, Allawala AB, Racine CA, Norbu T, Astudillo D, Tremblay-McGaw AG, Becker N, Alhourani A, Starr PA, Chang EF, Krystal AD

Applications of Artificial Intelligence and Advanced Imaging in Pediatric Diffuse Midline Glioma.

Neuro-oncology

Haddadi Avval A, Banerjee S, Zielke J, Kann B, Mueller S, Rauschecker AM

The Research

The Research

Prediction of cerebrospinal fluid intervention in fetal ventriculomegaly via AI-powered normative modelling.

Bladder control side-effects of deep brain stimulation for major depressive disorder related to recruitment of distinct subcomponents of the anterior limb of the internal capsule.

Use of FDG-PET in Balamuthia mandrillaris Amebic Encephalitis.

DNA methylation age from peripheral blood predicts progression to Alzheimer's disease, white matter disease burden, and cortical atrophy.

One System to Rule Them All? Task- and Data-specific Considerations for Automated Data Extraction.

Enhancing Large Language Models with Retrieval-Augmented Generation: A Radiology-Specific Approach.

Detecting New Lesions Using a Large Language Model: Applications in Real-World Multiple Sclerosis Datasets.

Rapid resolution of depression and epilepsy following resection of a septal region tumor: illustrative case.

Invasive Brain Mapping Identifies Personalized Therapeutic Neuromodulation Targets for Obsessive-Compulsive Disorder.

Applications of Artificial Intelligence and Advanced Imaging in Pediatric Diffuse Midline Glioma.

What Are Polygenic Scores and Why Are They Important?

Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network.

Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans.