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Home › Research › Topic

Brain imaging, connectivity and assessment

1,533 studies in this group. A computer grouped them by what their titles and summaries are about, not by a hand-made list. The name describes most of the group, not every study in it.

Each study has a usefulness score out of 100 (rubric version 4.0). Tap a score to see what makes it up.

Highest usefulness score first. Studies without a score come last.

  1. Can objective measures of physical activity and sleep serve as early predictors of dementia among individuals with cognitive impairment?

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2025-12-15 Digital health tools

    The MCI group had the most surprising findings—although they were cognitively similar to the control group, they were less physically active than the AD group and had the worst sleep efficiency.

  2. Accelerometry-Measured Physical Activity Predicts Dementia Onset in a National Cohort of Older Adults

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2025-12-09 Cognitive tests and assessment

    Identifying scalable, objective markers of dementia risk is essential for early prevention and intervention.

  3. Cognitive screening biases in a secondary prevention Alzheimer’s disease clinical trial

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2025-12-04 Treatments

    Biases in cognitive/functional screening tests may disproportionately exclude ethnoracial minorities in AD prevention trials.

  4. Disproportionately Elevated Sulcal Index (DESI): An automatically driven index representing disproportionate subarachnoid space enlargement in brain MRI scans

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2025-12-02 Clinical trials

    DESI is a robust, fully automated MRI biomarker that sensitively detects CSF redistribution characteristic of DESH in iNPH.

  5. Identifying and Predicting Cognitive Decline Using Multi-Modal Sensor Data and Machine Learning Approach

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research square 2025-06-18 Cognitive tests and assessment

    Our results demonstrate that the multi-modal classifier achieved strong classification performance (accuracy = 68.64%; precision = 73.97%; F1-score=74.48%), with the highest recall (76.39%) from a model incorporating demographics and driving features, and prediction performance (accuracy = 70.48%; precision = 71.88%; F1-score = 74.80%, recall = 77.97%).

  6. Racial and Ethnic Differences in Subjective Cognitive Decline - United States, 2015-2020

    ⚠ Report — not peer-reviewed alzhub usefulness score 16 out of 100. MMWR. Morbidity and mortality weekly report 2023-03-10 Disparities

    Subjective cognitive decline (SCD), the self-reported experience of worsening or more frequent memory loss or confusion, might be a symptom of early-stage dementia or future serious cognitive decline such as Alzheimer disease* or a related dementia (ADRD) (1).

  7. Modifiable Risk Factors for Alzheimer Disease and Related Dementias Among Adults Aged ≥45 Years - United States, 2019

    ⚠ Report — not peer-reviewed alzhub usefulness score 16 out of 100. MMWR. Morbidity and mortality weekly report 2022-05-20 Risk factors

    Alzheimer disease,* the most common cause of dementia, affects an estimated 6.5 million persons aged ≥65 years in the United States (1).

  8. RETRACTED ARTICLE: Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda

    ⚠ Retracted — do not rely on it alzhub usefulness score 16 out of 100. Journal of ambient intelligence and humanized computing 2022-01-13 Digital health tools

    Artificial intelligence can assist providers in a variety of patient care and intelligent health systems.

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