Results 141 to 150 of about 8,342 (214)

BOLD fMRI activations and LC contrast associated with successful episodic memory in healthy older adults and MCI

Alzheimer's &Dementia, Volume 22, Issue 8, August 2026.
Abstract INTRODUCTION We examined whether locus coeruleus (LC) contrast, an indirect proxy for neuronal density and structural health, was related to delayed episodic memory in healthy older adults (OAs) and those with mild cognitive impairment (MCI) and its association with encoding‐related brain activity, controlling for emotional salience.
Lucia Penalba‐Sánchez, Yeo‐Jin Yi, Elif Kurt, Grazia Daniela Femminella, Clare Loane, Millie Duckett, Alina Zhunussova, Nikolaus Weiskopf, Martina F Callaghan, Ray Dolan, Robert J Howard, Emrah Düzel, Dorothea Hämmerer   +12 more
wiley   +1 more source

Engagement of understudied populations as community change: The South Texas ADRC model

Alzheimer's &Dementia, Volume 22, Issue 8, August 2026.
Abstract Many populations experiencing the highest burdens of Alzheimer's disease and related dementias remain understudied, in part because traditional recruitment and retention models are insufficient to support sustained engagement. The Outreach, Recruitment, and Engagement Core (OREC) of the South Texas Alzheimer's Disease Research Center ...
Gladys E. Maestre, Neela K. Patel, Rosa V. Pirela, Robin C Hilsabeck, Kendra Stine, Fayron R. Epps, Neyra Garcia, Stephanie Santiago‐Mejias, Roberto Reyes, Claudia L. Satizabal, Silvia Mejia‐Arango, A. Campbell Sullivan, Omar Oropeza, Monica Gireud‐Goss, Hector Rodriguez, Hector Trevino, Andrea Ramirez, Vanessa M. Young, Ney Alliey‐Rodriguez, Ashley LaRoche, Carlos J. Martinez‐Menendez, Jeremy A. Tanner, Leah Otto, Cynthia De La Garza‐Parker, Noe Garza, Melissa Flores, Norene Casas, Sylvia Robles, Angelica Davila, Cristian A. Maestre, Eric Shipp, Jesus D. Melgarejo, Gabriel A. de Erausquin, Sarah Williams‐Blangero, Sudha Seshadri   +34 more
wiley   +1 more source

Exploring longitudinal relationships among Alzheimer's disease biomarkers

Alzheimer's &Dementia, Volume 22, Issue 8, August 2026.
Abstract INTRODUCTION While most studies of Alzheimer's disease (AD) examine cross‐sectional relationships among biomarkers, longitudinal relationships are also highly relevant. METHODS This study in the Alzheimer's Disease Neuroimaging Initiative cohort (n = 373) used non‐parametric Spearman correlations to explore the relationships of baseline values
Benjamin Saef, Kellen K. Petersen, Katherine Volluz, Yan Li, Duygu Tosun, Marta Mila‐Aloma, Leslie M. Shaw, Henrik Zetterberg, Jeffrey L. Dage, Carrie E. Rubel, Kyle Ferber, Lei Du‐Cuny, Janaky Coomaraswamy, Michael Baratta, Yulia Mordashova, Ziad S. Saad, Gallen Triana‐Baltzer, Nicholas J. Ashton, Emily A. Meyers, Erin G. Rosenbaugh, J. Martin Sabandal, Anthony W. Bannon, William Z. Potter, Alzheimer's Disease Neuroimaging Initiative (ADNI), Foundation for the National Institutes of Health (FNIH) Biomarkers Consortium Plasma Aβ and Phosphorylated Tau as Predictors of Amyloid and Tau Positivity in Alzheimer's Disease Project Team, Suzanne E. Schindler   +25 more
wiley   +1 more source

Brain morphometry patterns in the presence of Alzheimer's disease and/or LATE neuropathologic changes

Alzheimer's &Dementia, Volume 22, Issue 8, August 2026.
Abstract INTRODUCTION Alzheimer's disease neuropathologic change (ADNC) and limbic‐predominant age‐related transactive response DNA‐binding protein 43 kDa (TDP‐43) encephalopathy neuropathologic change (LATENC) are common in older adults, yet differences in brain morphometry patterns when one or both pathologies are present remain unclear.
Khalid Saifullah, Abdur Raquib Ridwan, Arnold M. Evia, Sue E. Leurgans, Maude Wagner, David A. Bennett, Julie A. Schneider, Konstantinos Arfanakis   +7 more
wiley   +1 more source

Aberrant Neural Entrainment to Word‐Level Speech Patterns in Fragile X Syndrome: Evidence for a Statistical Learning Deficit

Autism Research, Volume 19, Issue 8, August 2026.
ABSTRACT Fragile X syndrome (FXS), the most common inherited cause of intellectual disability and autism spectrum disorder, causes significant language and cognitive impairments. Statistical learning refers to the ability to extract patterns from sensory input through mere exposure and plays a central role in language acquisition.
Laura J. Batterink, Yanchen Liu, Grace Westerkamp, Jae Citarella, Peyton Siekierski, Lynxie Voorhees, Lauren E. Ethridge, Elizabeth Smith, Rana Elmaghraby, Craig A. Erickson, Zag ElSayed, Anubhuti Goel, Steve W. Wu, Ernest V. Pedapati   +13 more
wiley   +1 more source

Digital speech-based markers to advance prognosis in Alzheimer's disease. [PDF]

Alzheimers Dement
Lee M, Meylan S, Shobin E, SpeechDx Consortium, Nisenbaum L, Sukumar A, Kourtis L.   +6 more
europepmc   +1 more source

Association of Left Angular Gyrus‐Right Middle Frontal Gyrus Functional Connectivity With Insomnia Severity in Major Depressive Disorder: Evidence From the DIRECT Consortium

CNS Neuroscience &Therapeutics, Volume 32, Issue 8, August 2026.
Preferential alterations in insomnia‐related AG–MFG connectivity in MDD highlight sleep‐associated neural mechanisms, although disentangling these connectivity changes from depression severity remains challenging. Local aberrations in regional brain function primarily differentiate patients with MDD from healthy controls.
Zhifang Zhang, Zhenzhu Chen, Yimeng Wang, Lei Zhao, Feng Li, Yujie Xing, Tian Li, Qi‐Jing Bo, Chuanyue Wang   +8 more
wiley   +1 more source

The Spatial Divergence of Hypometabolism and Atrophy in Mesial Temporal Lobe Epilepsy: Combining 18F‐FDG PET and Structural MRI for Predicting Postoperative Seizure Freedom

Human Brain Mapping, Volume 47, Issue 11, 01 August 2026.
Structural MRI and 18F‐FDG‐PET reveal distinct structure‐metabolism decoupling in temporal lobe epilepsy. A presurgical machine learning model integrating these complementary radiomics with clinical features robustly predicts postoperative seizure freedom, achieving prognostic efficacy that could rival models reliant on actual resection data.
Yuming Li, Fanglan Li, Danyang Cao, Qiuxing Lin, Peiwen Liu, Wei Li, Yingying Zhang, Xiang Huang, Kailing Huang, Wenhao Li, Xiuli Li, Rang Li, Xiutian Sima, Qiyong Gong, Dong Zhou, Dongmei An   +15 more
wiley   +1 more source

Predicting amyloid status in Primary Progressive Aphasia using explainable artificial intelligence. [PDF]

NPJ Dement
Robertson C, Hochberg D, Quimby M, Wolff P, Dickerson BC, Rezaii N.   +5 more
europepmc   +1 more source

Advancing Tumor Treatment Through Artificial Intelligence and Mathematical Modeling: A Comprehensive Review

Health Science Reports, Volume 9, Issue 8, August 2026.
ABSTRACT Background and Aims Solid tumors emerge from uncontrolled cell division and interactions with neighboring cells that influence their growth and resistance to therapy. Anti‐cancer drugs are developed to disrupt these processes, but they often damage healthy cells, making treatment difficult to manage safely and effectively. As the global cancer
Mohsin Kamran, Abdul Majeed, A S M Rafiul Haque, Johari Yap Abdullah   +3 more
wiley   +1 more source