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Neural Mechanism of Cognitive Reserve in Acupuncture Stimulation: Protocol for a Randomized, Placebo-Controlled Functional Near-Infrared Spectroscopy Trial

Neural Mechanism of Cognitive Reserve in Acupuncture Stimulation: Protocol for a Randomized, Placebo-Controlled Functional Near-Infrared Spectroscopy Trial

Various neuroimaging techniques such as magnetic resonance imaging, functional magnetic resonance imaging (f MRI), positron emission tomography, and electroencephalography have been used for the early detection of AD [10]. Although f MRI is noninvasive and has good temporal and excellent spatial resolutions among functional neuroimaging methods, it has inherent limitations such as high cost, immobility due to heavy equipment, and vulnerability to head motion artifacts.

Hyeonsang Shin, Woohyun Seong, Yeonju Woo, Joo-Hee Kim, Kwang-Rak Park, Dong Hyuk Lee

JMIR Res Protoc 2025;14:e66838

Detection of Alzheimer Disease in Neuroimages Using Vision Transformers: Systematic Review and Meta-Analysis

Detection of Alzheimer Disease in Neuroimages Using Vision Transformers: Systematic Review and Meta-Analysis

They used ML models alongside multimodal neuroimaging data to classify various stages of AD progression. The findings from their investigation were highly encouraging, demonstrating pooled estimates for sensitivity of 94.6% and specificity of 93.5% in classifying patients with AD from healthy controls. This study demonstrates the considerable promise of ML algorithms when combined with multimodal neuroimaging biomarkers for differentiating patients with AD from cognitively normal (CN) individuals.

Vivens Mubonanyikuzo, Hongjie Yan, Temitope Emmanuel Komolafe, Liang Zhou, Tao Wu, Nizhuan Wang

J Med Internet Res 2025;27:e62647

Transformers for Neuroimage Segmentation: Scoping Review

Transformers for Neuroimage Segmentation: Scoping Review

Special study deserves transformer use in neuroimaging, as the structures of the brain are complicated. Neural networks based on transformers can model long-range dependencies and spatial relationships of the brain images [27], which is very important in brain segmentation. Although transformers have shown very promising results in many medical imaging tasks, their use in neuroimaging segmentation remains an evolving field that had not been systematically reviewed.

Maya Iratni, Amira Abdullah, Mariam Aldhaheri, Omar Elharrouss, Alaa Abd-alrazaq, Zahiriddin Rustamov, Nazar Zaki, Rafat Damseh

J Med Internet Res 2025;27:e57723

Authors’ Response to Peer Reviews of “Impact of Weekly Community-Based Dance Training Over 8 Months on Depression and Blood Oxygen Level–Dependent Signals in the Subcallosal Cingulate Gyrus for People With Parkinson Disease: Observational Study”

Authors’ Response to Peer Reviews of “Impact of Weekly Community-Based Dance Training Over 8 Months on Depression and Blood Oxygen Level–Dependent Signals in the Subcallosal Cingulate Gyrus for People With Parkinson Disease: Observational Study”

None of them used people with PD and neuroimaging tasks. 6. Still Introduction, fifth paragraph: The authors mention the Batson et al [13] study, but it would be relevant for this study to know with which type of and with how many participants this study was conducted. Response: We have added that 1 participant was scanned and compared to the Fullerton Advanced Balance Scale. Thank you for this suggestion. 7.

Karolina A Bearss, Rebecca E Barnstaple, Rachel J Bar, Joseph F X DeSouza

JMIRx Med 2024;5:e67815

Peer Review of “Impact of Weekly Community-Based Dance Training Over 8 Months on Depression and Blood Oxygen Level–Dependent Signals in the Subcallosal Cingulate Gyrus for People With Parkinson Disease: Observational Study”

Peer Review of “Impact of Weekly Community-Based Dance Training Over 8 Months on Depression and Blood Oxygen Level–Dependent Signals in the Subcallosal Cingulate Gyrus for People With Parkinson Disease: Observational Study”

Methods: “Study population – Neuroimaging sessions over 8-months”—how come the subsample of 10 people with PD has the same demographic characteristics as the total sample of 23 people with PD? 9. Results: a “reduction of GDS scores” is mentioned—I assume that GDS score reduction means improvement in depression symptoms? It would be important to mention this somewhere. 10.

Anonymous

JMIRx Med 2024;5:e67813

Impact of Weekly Community-Based Dance Training Over 8 Months on Depression and Blood Oxygen Level–Dependent Signals in the Subcallosal Cingulate Gyrus for People With Parkinson Disease: Observational Study

Impact of Weekly Community-Based Dance Training Over 8 Months on Depression and Blood Oxygen Level–Dependent Signals in the Subcallosal Cingulate Gyrus for People With Parkinson Disease: Observational Study

We assessed changes in the SCG using noninvasive neuroimaging for at least 2 time points over 8 months for each participant following a Df PD class, and we measured mood and depression before and after the dance class in the studio. Our findings suggest that participation in a nonmedical intervention (dance) may have the potential to modify emotional brain circuitry over time.

Karolina A Bearss, Rebecca E Barnstaple, Rachel J Bar, Joseph F X DeSouza

JMIRx Med 2024;5:e44426

Cerebral Microbleeds in Different Brain Regions and Their Associations With the Digital Clock-Drawing Test: Secondary Analysis of the Framingham Heart Study

Cerebral Microbleeds in Different Brain Regions and Their Associations With the Digital Clock-Drawing Test: Secondary Analysis of the Framingham Heart Study

Neuroimaging methods, such as brain magnetic resonance imaging (MRI) and computerized axial tomography scans, are valuable tools to detect cerebrovascular pathology. Currently, lobar and deep CMB can only be identified by brain MRI. However, these imaging tools are costly and, in most cases, not accessible in rural areas and low-income contexts. There are over 50 million people estimated to live with dementia and AD worldwide, with the highest increases in lower- and middle-income countries [9].

Samia C Akhter-Khan, Qiushan Tao, Ting Fang Alvin Ang, Cody Karjadi, Indira Swetha Itchapurapu, David J Libon, Michael Alosco, Jesse Mez, Wei Qiao Qiu, Rhoda Au

J Med Internet Res 2024;26:e45780

Smartphone Pupillometry and Machine Learning for Detection of Acute Mild Traumatic Brain Injury: Cohort Study

Smartphone Pupillometry and Machine Learning for Detection of Acute Mild Traumatic Brain Injury: Cohort Study

Participants were excluded if they had any intracranial abnormalities on neuroimaging. A separate cohort of healthy participants was enrolled from hospital staff using availability sampling over the same time period, which excluded those with self-reported known neurological disease or recent history of TBI.

Anthony J Maxin, Do H Lim, Sophie Kush, Jack Carpenter, Rami Shaibani, Bernice G Gulek, Kimberly G Harmon, Alex Mariakakis, Lynn B McGrath, Michael R Levitt

JMIR Neurotech 2024;3:e58398

Brain Activation During Virtual Reality Symptom Provocation in Obsessive-Compulsive Disorder: Proof-of-Concept Study

Brain Activation During Virtual Reality Symptom Provocation in Obsessive-Compulsive Disorder: Proof-of-Concept Study

Another preceding smaller meta-analysis of neuroimaging symptom provocation studies in OCD, conducted by Rotge et al [11], also found an increased likelihood of activation in 19 clusters in patients with OCD compared to healthy controls. These included the OFC, ACC, precuneus, and thalamus. Although paradigms have been developed to induce the urge to check in patients with OCD [12], to our knowledge, no provocation procedures to induce actual checking behavior have been applied in f MRI studies before.

Martine J van Bennekom, Guido van Wingen, Willem Benjamin Bruin, Judy Luigjes, Damiaan Denys

JMIR XR Spatial Comput 2024;1:e47468