Detecting early cognitive deficits in preclinical Alzheimer’s disease using a remote digital multi-day learning paradigm
Abstract Remote, digital cognitive testing on an individual’s own device provides the opportunity to deploy previously understudied but promising cognitive paradigms in preclinical Alzheimer’s disease (AD). The Boston Remote Assessment for NeuroCognitive Health (BRANCH) captures a personalized learn...
Saved in:
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-024-01347-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832594401159806976 |
|---|---|
| author | Roos J. Jutten Daniel Soberanes Cassidy P. Molinare Stephanie Hsieh Michelle E. Farrell Aaron S. Schultz Dorene M. Rentz Gad A. Marshall Keith A. Johnson Reisa A. Sperling Rebecca E. Amariglio Kathryn V. Papp |
| author_facet | Roos J. Jutten Daniel Soberanes Cassidy P. Molinare Stephanie Hsieh Michelle E. Farrell Aaron S. Schultz Dorene M. Rentz Gad A. Marshall Keith A. Johnson Reisa A. Sperling Rebecca E. Amariglio Kathryn V. Papp |
| author_sort | Roos J. Jutten |
| collection | DOAJ |
| description | Abstract Remote, digital cognitive testing on an individual’s own device provides the opportunity to deploy previously understudied but promising cognitive paradigms in preclinical Alzheimer’s disease (AD). The Boston Remote Assessment for NeuroCognitive Health (BRANCH) captures a personalized learning curve for the same information presented over seven consecutive days. Here, we examined BRANCH multi-day learning curves (MDLCs) in 167 cognitively unimpaired older adults (age = 74.3 ± 7.5, 63% female) with different amyloid-β (A) and tau (T) biomarker profiles on positron emission tomography. MDLC scores decreased across ascending biomarker groups, with the A + T- group performing numerically worse (β = –0.24, 95%CI[–0.55,0.07], p = 0.128) and the A + T+ group performing significantly worse (β = –0.58, 95%CI[–1.06,–0.10], p = 0.018) than the A-T- group. Further, lower MDLC scores were associated with greater cortical thinning (β = 0.18, 95%CI[0.04,0.34], p = 0.013). Our results suggest that diminished MDLCs track with advanced AD pathophysiology, and demonstrate how a digital multi-day learning paradigm can provide novel insights about cognitive decline during preclinical AD. |
| format | Article |
| id | doaj-art-45674afec30f4f0d9726dc1688a5dff7 |
| institution | Kabale University |
| issn | 2398-6352 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-45674afec30f4f0d9726dc1688a5dff72025-01-19T12:39:49ZengNature Portfolionpj Digital Medicine2398-63522025-01-018111010.1038/s41746-024-01347-7Detecting early cognitive deficits in preclinical Alzheimer’s disease using a remote digital multi-day learning paradigmRoos J. Jutten0Daniel Soberanes1Cassidy P. Molinare2Stephanie Hsieh3Michelle E. Farrell4Aaron S. Schultz5Dorene M. Rentz6Gad A. Marshall7Keith A. Johnson8Reisa A. Sperling9Rebecca E. Amariglio10Kathryn V. Papp11Department of Neurology, Massachusetts General Hospital, Harvard Medical SchoolDepartment of Neurology, Brigham and Women’s Hospital, Harvard Medical SchoolDepartment of Neurology, Brigham and Women’s Hospital, Harvard Medical SchoolDepartment of Neurology, Brigham and Women’s Hospital, Harvard Medical SchoolDepartment of Neurology, Massachusetts General Hospital, Harvard Medical SchoolDepartment of Neurology, Massachusetts General Hospital, Harvard Medical SchoolDepartment of Neurology, Massachusetts General Hospital, Harvard Medical SchoolDepartment of Neurology, Massachusetts General Hospital, Harvard Medical SchoolDepartment of Neurology, Massachusetts General Hospital, Harvard Medical SchoolDepartment of Neurology, Massachusetts General Hospital, Harvard Medical SchoolDepartment of Neurology, Massachusetts General Hospital, Harvard Medical SchoolDepartment of Neurology, Massachusetts General Hospital, Harvard Medical SchoolAbstract Remote, digital cognitive testing on an individual’s own device provides the opportunity to deploy previously understudied but promising cognitive paradigms in preclinical Alzheimer’s disease (AD). The Boston Remote Assessment for NeuroCognitive Health (BRANCH) captures a personalized learning curve for the same information presented over seven consecutive days. Here, we examined BRANCH multi-day learning curves (MDLCs) in 167 cognitively unimpaired older adults (age = 74.3 ± 7.5, 63% female) with different amyloid-β (A) and tau (T) biomarker profiles on positron emission tomography. MDLC scores decreased across ascending biomarker groups, with the A + T- group performing numerically worse (β = –0.24, 95%CI[–0.55,0.07], p = 0.128) and the A + T+ group performing significantly worse (β = –0.58, 95%CI[–1.06,–0.10], p = 0.018) than the A-T- group. Further, lower MDLC scores were associated with greater cortical thinning (β = 0.18, 95%CI[0.04,0.34], p = 0.013). Our results suggest that diminished MDLCs track with advanced AD pathophysiology, and demonstrate how a digital multi-day learning paradigm can provide novel insights about cognitive decline during preclinical AD.https://doi.org/10.1038/s41746-024-01347-7 |
| spellingShingle | Roos J. Jutten Daniel Soberanes Cassidy P. Molinare Stephanie Hsieh Michelle E. Farrell Aaron S. Schultz Dorene M. Rentz Gad A. Marshall Keith A. Johnson Reisa A. Sperling Rebecca E. Amariglio Kathryn V. Papp Detecting early cognitive deficits in preclinical Alzheimer’s disease using a remote digital multi-day learning paradigm npj Digital Medicine |
| title | Detecting early cognitive deficits in preclinical Alzheimer’s disease using a remote digital multi-day learning paradigm |
| title_full | Detecting early cognitive deficits in preclinical Alzheimer’s disease using a remote digital multi-day learning paradigm |
| title_fullStr | Detecting early cognitive deficits in preclinical Alzheimer’s disease using a remote digital multi-day learning paradigm |
| title_full_unstemmed | Detecting early cognitive deficits in preclinical Alzheimer’s disease using a remote digital multi-day learning paradigm |
| title_short | Detecting early cognitive deficits in preclinical Alzheimer’s disease using a remote digital multi-day learning paradigm |
| title_sort | detecting early cognitive deficits in preclinical alzheimer s disease using a remote digital multi day learning paradigm |
| url | https://doi.org/10.1038/s41746-024-01347-7 |
| work_keys_str_mv | AT roosjjutten detectingearlycognitivedeficitsinpreclinicalalzheimersdiseaseusingaremotedigitalmultidaylearningparadigm AT danielsoberanes detectingearlycognitivedeficitsinpreclinicalalzheimersdiseaseusingaremotedigitalmultidaylearningparadigm AT cassidypmolinare detectingearlycognitivedeficitsinpreclinicalalzheimersdiseaseusingaremotedigitalmultidaylearningparadigm AT stephaniehsieh detectingearlycognitivedeficitsinpreclinicalalzheimersdiseaseusingaremotedigitalmultidaylearningparadigm AT michelleefarrell detectingearlycognitivedeficitsinpreclinicalalzheimersdiseaseusingaremotedigitalmultidaylearningparadigm AT aaronsschultz detectingearlycognitivedeficitsinpreclinicalalzheimersdiseaseusingaremotedigitalmultidaylearningparadigm AT dorenemrentz detectingearlycognitivedeficitsinpreclinicalalzheimersdiseaseusingaremotedigitalmultidaylearningparadigm AT gadamarshall detectingearlycognitivedeficitsinpreclinicalalzheimersdiseaseusingaremotedigitalmultidaylearningparadigm AT keithajohnson detectingearlycognitivedeficitsinpreclinicalalzheimersdiseaseusingaremotedigitalmultidaylearningparadigm AT reisaasperling detectingearlycognitivedeficitsinpreclinicalalzheimersdiseaseusingaremotedigitalmultidaylearningparadigm AT rebeccaeamariglio detectingearlycognitivedeficitsinpreclinicalalzheimersdiseaseusingaremotedigitalmultidaylearningparadigm AT kathrynvpapp detectingearlycognitivedeficitsinpreclinicalalzheimersdiseaseusingaremotedigitalmultidaylearningparadigm |