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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. PaliGemX: An Interpretable Multimodal Transformer for Early Alzheimer’s Detection

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-10-14 Digital health tools

    Alzheimer disease (AD) is a disorder of the nervous system that mostly impacts the brain cells and causes the slow destruction of the brain.

  2. Limbic Vulnerability Characterises REM Sleep Behaviour Disorder Across Prodromal and Established Lewy Body Disease

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-10-14 Mild cognitive impairment

    Isolated rapid eye movement sleep behaviour disorder (iRBD) strongly predicts future Lewy body disease and identifies a more aggressive, non-motor phenotype in Parkinson’s disease (PD).

  3. Turbulent dynamics and in silico perturbation-based measures are disrupted across biological stages of Alzheimers disease

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2026-10-13 Genetics

    According to the AT(N) framework, Alzheimers disease (AD) can be biologically characterised by amyloid deposition, tau pathology, and neurodegeneration, yet how these processes relate to whole-brain dynamics remains unclear.

  4. Information-Theoretic Geometry HCFIM features for data-limited EEG screening of Alzheimer’s disease and Frontotemporal Dementia

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-10-13 Brain scans and imaging

    Resting-state EEG is a scalable modality for neurophysiological screening, but conventional spectral descriptors capture only part of the signal organization altered in neurodegenerative disease.

  5. Interpretable Frequency-Aware Deep Learning for Multi-Class EEG Classification of Neurological Disorders

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Preprints.org 2026-10-12 Brain scans and imaging

    Electroencephalography (EEG) records cortical activity with high temporal resolution without radiation and at low cost, which makes it a practical signal for automated screening of neurological disorders.

  6. Upper cervical spinal cord morphometric charts: from population references to individualized clinical assessment

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2026-10-12 Vascular contributions

    The upper cervical spinal cord is essential for motor, sensory and autonomic function, yet its normative morphometric trajectories and disease-related deviations remain unclear.

  7. Speaker-Attributed Transcription Toward Automated Scoring of NACC Uniform Data Set Assessments: A Whisper–Pyannote Pipeline and Pilot Evaluation

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Preprints.org 2026-10-12 Digital health tools

    Standardized cognitive and functional assessments, such as those in the National Alzheimer’s Coordinating Center (NACC) Uniform Data Set (UDS), are central to detecting and monitoring Alzheimer’s disease, yet their administration and scoring depend on trained examiners who record and score responses by hand.

  8. A large, comprehensive labeled MRI dataset of the human lateral ventricle choroid plexus

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. bioRxiv 2026-10-11 Brain scans and imaging

    The choroid plexus (ChP) is a highly vascularized structure located in the brain ventricles that plays important roles in multiple central nervous system functions.

  9. EEG Pathology Detection via Clinical Concept Bottleneck Models

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. bioRxiv 2026-10-11 Digital health tools

    A bstract Deep learning models for electroencephalography (EEG) pathology detection achieve competitive accuracy but offer limited interpretability.

  10. Identifying Individualized Multiple Chronic Condition Pathways Associated with Dementia

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Preprints.org 2026-10-10 Digital health tools

    Unlike traditional eager decision trees (eagerDT), which lacked sufficient training data for 17%-33% of patient profiles, lazyDT-MCCPath successfully modeled all profiles and achieved a 0.17 improvement in AUROC (0.66 vs. 0.83). lazyDT-MCCPath effectively translates pre-existing MCC profiles into personalized dementia risk probabilities for emerging conditions, which may help clinicians prioritize MCCs to monitor more closely.

  11. The Somnogenesis System: A Proposed Biological System for Psychiatry

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Preprints.org 2026-10-08 Brain scans and imaging

    For more than 150 years, since the idea that mental illness is rooted in the brain first emerged in the mid-1800s, psychiatry has searched for a reliable biological system to anchor its understanding of mental illness.

  12. Vibrotactile transcutaneous auricular vagus nerve stimulation (taVNS) during working memory: convergent electrophysiological evidence for cortical efficiency

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. bioRxiv 2026-10-08 Brain scans and imaging

    Our results converge on the conclusion that vtaVNS does not uniformly amplify cortical responses to external stimuli.

  13. A Machine Learning-Based Framework for differential screening of Neurodegenerative Dementias using routine clinical data

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-10-07 Getting a diagnosis

    Symptom chronology emerged as a robust diagnostic discriminator, underscoring the clinical value of temporal disease trajectories.

  14. Forecasting Alzheimer’s disease progression using non-imaging clinical features and XGBoost

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2026-10-07 Digital health tools

    Machine learning (ML) methods have shown promise in modeling clinical trajectories associated with neurodegenerative disorders such as Alzheimer’s disease (AD).

  15. Memory and executive functioning show differential associations with scam susceptibility in middle to older adulthood

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2026-10-06 Risk factors

    Prior work has demonstrated a link between cognitive impairment and financial vulnerability.

  16. Brief Communication: Frailty and Neurocognitive Impairment in Older People Living with HIV: A Cross-Sectional Study from Southeastern Brazil

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-10-06 Risk factors

    Mean age was 59.6 years, and 57.8% were male.

  17. Contribution of cerebrovascular lesions to neurodegeneration and cognitive decline

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2026-10-06 Vascular contributions

    Vascular risk factors were associated with CSVD burden and progression, and WMH and PVS progression were further associated with cortical atrophy and cognitive decline, underscoring the interconnected contributions of vascular risk, CSVD, and neurodegeneration to cognitive aging and dementia risk.

  18. Evaluating Large Language Model Diagnostic Classification in Neuropsychology

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. PsyArXiv 2026-10-06 Digital health tools

    Model-inferred and reference diagnoses showed exact agreement rates from 18.8% to 56.2% with poor to slight chance-corrected agreement (Cohen’s κ = −.178 to .196).

  19. Multilingualism and ageing: Cognitive and affective trajectories in the Australian Longitudinal Study of Ageing

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-10-06 Mild cognitive impairment

    This study aimed to address these limitations by examining whether multilingual experience is associated with longitudinal ageing trajectories across objective and subjective measures spanning cognitive, affective, linguistic, and non-linguistic domains.

  20. A Pipeline for ADNI Resting-State Functional MRI Processing and Quality Control

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Research Square 2026-10-06 Long-term cohort studies

    The Alzheimer’s Disease Neuroimaging Initiative (ADNI) provides a comprehensive multimodal neuroimaging resource for studying aging and Alzheimer’s disease (AD).

  21. The Somnogenesis System

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. ScienceOpen Preprints 2026-10-05 Brain scans and imaging

    For more than 150 years, since the idea that mental illness is rooted in the brain first emerged in the mid-1800s, psychiatry has searched for a reliable biological system to anchor its understanding of mental illness.

  22. Volumetric Integrity of Frontotemporal and Perisylvian Regions for Predicting Behavioral and Language Impairment in Behavioral FTD: A Structural MRI Study

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2026-10-05 Risk factors

    In this bvFTD cohort, structural volumes of key frontotemporal and perisylvian regions did not predict behavioral or language impairments after correction for multiple comparisons.

  23. Adaptive Memory and Metacognition in Older Adulthood: A Path Towards Successful Aging

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. PsyArXiv 2026-10-05 Risk factors

    Aging is characterized by normative changes in memory and a continued capacity for goal-directed learning and adaptation.

  24. Imputation-Based Harmonization Mitigates Site Effects Without Data Leakage in Machine Learning Studies

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. bioRxiv 2026-10-05 Digital health tools

    Neuroimaging studies that pool data across clinical sites often suffer from site effects — variability in imaging measures that arises from technical heterogeneity across sites as opposed to true biological signal.

  25. Explainable machine learning identifies predictors for postural instability and cognitive impairment in early Parkinson’s Disease

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2026-10-05 Mild cognitive impairment

    Parkinson’s disease (PD) exhibits considerable variability in symptom onset, severity, and clinical trajectories, making prediction of individual disease progression a complex challenge.

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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