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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. REM sleep EEG slowing signals basal forebrain integrity in older adults with subjective and mild cognitive impairment

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2026-10-02 Brain scans and imaging

    The basal forebrain is an early site of pathology in Alzheimer’s disease (AD).

  2. Alignment with sex-typical brain architecture: Links to mood pathology, sex hormones and transcriptomics of neurodegenerative conditions

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. bioRxiv 2026-10-02 Risk factors

    We tested whether, across sexes, alignment with female-typical, rather than male-typical, patterns of neural functional connectivity (FC) would relate to a diagnosis (adolescent sample) or severity of symptoms (adult sample) associated with internalizing disorders, which tend to be more often diagnosed in females.

  3. Shared and Divergent Multisensory Emotion Perception Deficits across Mild Cognitive Impairment, Alzheimer’s Disease, and Frontotemporal Dementia: A Systematic Review and Hierarchical Bayesian Meta-Analysis

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. PsyArXiv 2026-10-01 Risk factors

    The ability to decode others’ emotions from multisensory cues is central to social functioning.

  4. An explainable multimodal framework for exploring depression-associated speech representations in Alzheimer’s disease

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2026-10-01 Risk factors

    By comparing these unsupervised representations to a depression-labelled source corpus, one cluster demonstrated mathematical proximity (measured via cosine similarity in a shared latent space) to the source depression centroid.

  5. Evaluating Patient Representation Strategies for Early Prediction of Alzheimer’s Disease and Related Dementias from Longitudinal EHRs

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-10-01 Mild cognitive impairment

    The neurodegenerative processes underlying Alzheimer’s disease and related dementias (ADRD) begin years before clinical diagnosis, motivating scalable approaches for earlier identification.

  6. Normative Modeling of Molecular-Enriched Functional Connectivity for Detecting Deviations from Healthy Brain Aging

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. bioRxiv 2026-09-29 Brain scans and imaging

    Of 204 normative reference models, 199 (97.5%) met the predefined diagnostic criteria; median held-out explained variance (EXPV) was 0.174.

  7. Diagnostic Utility of Multi-Domain Language Measures Across the Alzheimer Disease Continuum

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2026-09-29 Prevention trials

    Eight of 12 measures reached acceptable discrimination (AUC ≥ .700) for DAT vs. Semantic fluency showed the highest discrimination in each contrast, though it did not significantly outperform the NAT-S for MCI vs. In a post hoc regression, adjusting for cognitive flexibility and working memory attenuated group differences; the DAT difference was no longer significant, whereas the MCI difference remained significant.

  8. Age-dependent associations of sleep duration and insomnia symptoms with cognitive decline across five decades of adult life: a multi-cohort longitudinal study

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2026-09-28 Risk factors

    In the English Longitudinal Study of Ageing (ELSA: n=9,473, median age 64, range 50 to ≥90), linear mixed-effects models examined age-specific differences in cognitive change (recall and fluency) associated with sleep duration, difficulty falling asleep, nocturnal awakenings, incorporating sleep-by-age-by-time interactions, with initial adjustment for sociodemographic factors and further adjustment for health and lifestyle factors.

  9. Examining the Clinical Utility of Deep Learning Models for Perivascular Space Segmentation in Alzheimer’s Disease

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2026-09-28 Digital health tools

    Open-source deep learning models promise scalable quantification of MRI-visible perivascular spaces (PVS), an emerging marker of glymphatic dysfunction in Alzheimer’s disease (AD).

  10. Thalamocortical correlates of sleep spindle and slow oscillation dysfunction in Lewy body disorders

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-09-25 Brain scans and imaging

    Sleep disturbances are pervasive in Lewy body disorders (LBD), but their neurophysiological basis remains unclear.

  11. rTMS renews long-tract myelination to improve AD cognitive function predicted by baseline myelin and E-field

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-09-25 Cognitive tests and assessment

    This study reveals a myelin-mediated mechanism of rTMS action in AD, demonstrating the potential of promoting myelination as a novel therapeutic strategy for alleviating AD-related cognitive impairment.

  12. Aging and Alcohol Withdrawal Escalate CNS Hyperexcitability Across the Lifespan

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-09-24 Prevention and risk

    Central Nervous System (CNS) hyperexcitability is increased during aging and also during alcohol withdrawal.

  13. Dementia Language Models: a generalizable and controllable representation of cognitive impairment

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. bioRxiv 2026-09-24 Mild cognitive impairment

    We introduce Dementia Language Models (DeLMs) – generalizable and controllable representations of cognitive impairment through language – alongside an evaluation framework for establishing their validity and clinical grounding.

  14. Evaluating biomarkers and prediction models: predictive utility analysis with E2P Simulator

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. PsyArXiv 2026-09-23 Risk factors

    Precision psychiatry aims to identify biomarkers and develop prediction models to improve diagnosis, prognosis, and treatment selection.

  15. Genetically predicted multisite chronic pain is associated with lower cognitive performance: a bidirectional Mendelian randomization study with NHANES contextual evidence

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-09-22 Genetics

    Chronic pain and cognitive impairment are rising ageing-related burdens.

  16. Separating ECog scale-score information from dyad availability: observation-process contributions to dyadic prediction of cognitive impairment in ADNI

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-09-22 Caregiving

    The conventional model (M2) concordance index (C-index) was 0.680, but fell to 0.649 when missingness indicators were removed.

  17. Diagnostic Labels and Measurement Timing Drive Systematic Inconsistency in ADNI Neuroimaging Data

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. bioRxiv 2026-09-22 Digital health tools

    The Alzheimer’s Disease Neuroimaging Initiative (ADNI) is widely used to train machine learning models for Alzheimer’s disease, yet whether it provides consistent ground truth for predictive modeling has not been systematically tested.

  18. Artificial Intelligence for Alzheimer’s Disease Detection Across Neuroimaging and Speech: A Reproducible Cross-Modal Secondary Analysis

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-09-22 Digital health tools

    Artificial-intelligence (AI) systems for Alzheimer’s disease (AD) increasingly use neuroimaging or spontaneous speech, but reported performance is difficult to interpret across studies because cohorts, endpoints, languages, preprocessing, and validation protocols differ.

  19. Comparative Performance of Conventional, Informant-Based, and Digital Cognitive Screening Tools in Community-Dwelling Older Adults: A Cross-Sectional Study

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-09-21 Cognitive tests and assessment

    This study provides quantitative evidence supporting the complementary use of multiple cognitive assessment tools.

  20. Machine learning on subcortical brain features: A study of sample size efficiency for neurodegenerative disease classification

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. bioRxiv 2026-09-21 Digital health tools

    Subcortical brain alterations are a key feature of dementia disease progression.

  21. MedBackdoorGuard: Detecting and Mitigating Backdoor Attacks in Deep Learning Models for MRI-Based Alzheimer's Disease and Mild Cognitive Impairment Diagnosis

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Preprints.org 2026-09-20 Digital health tools

    Deep learning classifiers trained on structural magnetic resonance imaging (MRI) are increasingly proposed for early detection of Alzheimer’s disease (AD) and mild cognitive impairment (MCI), yet the pipelines that produce these models depend on shared datasets, pre-trained weights, and federated updates that an adversary can poison.

  22. A Multimodal Mathematical and Computational Framework for Personalized Medication-Adherence and Cognitive-Risk Modeling in Alzheimer's Disease

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-09-20 Digital health tools

    Digital medication-management tools for Alzheimer's disease (AD) typically record only whether a dose was taken, leaving the temporal and behavioral structure of adherence largely unused as a predictive signal.

  23. Hippocampal surface analysis using discrete Ricci flow and Riemannian metrics for the diagnosis of Alzheimer's disease

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-09-18 Getting a diagnosis

    Alzheimer’s disease (AD) is a neurodegenerative disorder that is characterized by structural changes of the hippocampus, thus hippocampal morphology becomes an important biomarker for early diagnosis.

  24. Regional choroid plexus calcifications and their associations with aging, brain structure, and disease

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. bioRxiv 2026-09-16 Tau biomarkers

    The choroid plexus (CP) maintains brain homeostasis through cerebrospinal fluid production and formation of the blood-cerebrospinal fluid barrier, and its dysfunction has been linked with aging and neurological disease.

  25. Pain is independently associated with agitation and neuropsychiatric symptoms in Alzheimer’s disease: a cross-sectional MRI study

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-09-15 Clinical safety

    Significant positive correlations were observed among pain, cognitive impairment, agitation, and neuropsychiatric symptoms (all p < 0.001).

From across this topic

10 of the 1,533 studies in this topic, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 10. The same 10 appear here every time.

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