1
|
Khosroazad S, Gilbert CF, Aronis JB, Daigle KM, Esfahani M, Almaghasilah A, Ahmed FS, Elias MF, Meuser TM, Kaye LW, Singer CM, Abedi A, Hayes MJ. Sleep movements and respiratory coupling as a biobehavioral metric for early Alzheimer's disease in independently dwelling adults. BMC Geriatr 2023; 23:252. [PMID: 37106470 PMCID: PMC10141904 DOI: 10.1186/s12877-023-03983-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 04/19/2023] [Indexed: 04/29/2023] Open
Abstract
INTRODUCTION Sleep disorder is often the first symptom of age-related cognitive decline associated with Alzheimer's disease (AD) observed in primary care. The relationship between sleep and early AD was examined using a patented sleep mattress designed to record respiration and high frequency movement arousals. A machine learning algorithm was developed to classify sleep features associated with early AD. METHOD Community-dwelling older adults (N = 95; 62-90 years) were recruited in a 3-h catchment area. Study participants were tested on the mattress device in the home bed for 2 days, wore a wrist actigraph for 7 days, and provided sleep diary and sleep disorder self-reports during the 1-week study period. Neurocognitive testing was completed in the home within 30-days of the sleep study. Participant performance on executive and memory tasks, health history and demographics were reviewed by a geriatric clinical team yielding Normal Cognition (n = 45) and amnestic MCI-Consensus (n = 33) groups. A diagnosed MCI group (n = 17) was recruited from a hospital memory clinic following diagnostic series of neuroimaging biomarker assessment and cognitive criteria for AD. RESULTS In cohort analyses, sleep fragmentation and wake after sleep onset duration predicted poorer executive function, particularly memory performance. Group analyses showed increased sleep fragmentation and total sleep time in the diagnosed MCI group compared to the Normal Cognition group. Machine learning algorithm showed that the time latency between movement arousals and coupled respiratory upregulation could be used as a classifier of diagnosed MCI vs. Normal Cognition cases. ROC diagnostics identified MCI with 87% sensitivity; 89% specificity; and 88% positive predictive value. DISCUSSION AD sleep phenotype was detected with a novel sleep biometric, time latency, associated with the tight gap between sleep movements and respiratory coupling, which is proposed as a corollary of sleep quality/loss that affects the autonomic regulation of respiration during sleep. Diagnosed MCI was associated with sleep fragmentation and arousal intrusion.
Collapse
Affiliation(s)
- Somayeh Khosroazad
- Electrical and Computer Engineering, University of Maine, 5708 Barrows Hall, Orono, ME, 04469, USA
- Activas Diagnostics, LLC, 20 Godfrey Dr., Orono, ME, 04473, USA
| | - Christopher F Gilbert
- Activas Diagnostics, LLC, 20 Godfrey Dr., Orono, ME, 04473, USA
- Psychology Department, University of Maine, 5740 Beryl Warner Williams Hall, Orono, ME, 5740-04469, USA
| | - Jessica B Aronis
- Activas Diagnostics, LLC, 20 Godfrey Dr., Orono, ME, 04473, USA
- Psychology Department, University of Maine, 5740 Beryl Warner Williams Hall, Orono, ME, 5740-04469, USA
| | - Katrina M Daigle
- Psychology Department, Suffolk University, 73 Tremont St., Boston, MA, 02108, USA
| | | | - Ahmed Almaghasilah
- Electrical and Computer Engineering, University of Maine, 5708 Barrows Hall, Orono, ME, 04469, USA
- Graduate School of Biomedical Science & Engineering, University of Maine, 5775 Stodder Hall, Orono, ME, 04469, USA
| | - Fayeza S Ahmed
- Psychology Department, University of Maine, 5740 Beryl Warner Williams Hall, Orono, ME, 5740-04469, USA
| | - Merrill F Elias
- Psychology Department, University of Maine, 5740 Beryl Warner Williams Hall, Orono, ME, 5740-04469, USA
| | - Thomas M Meuser
- Center for Excellence On Aging, University of New England, 11 Hills Beach Rd., Biddeford, ME, 04005, USA
| | - Leonard W Kaye
- Center On Aging, University of Maine, 327 Camden Hall, Orono, ME, 04469, USA
| | - Clifford M Singer
- Psychology Department, University of Maine, 5740 Beryl Warner Williams Hall, Orono, ME, 5740-04469, USA
- Mood and Memory Clinic, Northern Light Health, 269 Stillwater Ave., Bangor, ME, 04402, USA
| | - Ali Abedi
- Electrical and Computer Engineering, University of Maine, 5708 Barrows Hall, Orono, ME, 04469, USA
- Activas Diagnostics, LLC, 20 Godfrey Dr., Orono, ME, 04473, USA
| | - Marie J Hayes
- Activas Diagnostics, LLC, 20 Godfrey Dr., Orono, ME, 04473, USA.
- Psychology Department, University of Maine, 5740 Beryl Warner Williams Hall, Orono, ME, 5740-04469, USA.
- Graduate School of Biomedical Science & Engineering, University of Maine, 5775 Stodder Hall, Orono, ME, 04469, USA.
| |
Collapse
|
2
|
Daigle KM, Pietrzykowski MO, Waters AB, Swenson LP, Gansler DA. Central Executive Network and Executive Function in Patients With Alzheimer's Disease and Healthy Individuals: Meta-Analysis of Structural and Functional MRI. J Neuropsychiatry Clin Neurosci 2022; 34:204-213. [PMID: 35272491 DOI: 10.1176/appi.neuropsych.20110279] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
OBJECTIVE The neural architecture of executive function is of interest given its utility as a transdiagnostic predictor of adaptive functioning. However, a gap exists in the meta-analytic literature assessing this relationship in neuropsychiatric populations, concordance between structural and functional architecture, and the relationship with neuropsychological assessment of executive function. Given the importance of the central executive network (CEN) in Alzheimer's disease, this population may be useful in understanding this relationship in Alzheimer's disease pathology. METHODS A meta-analysis of studies (k=21) was conducted to elucidate the relationship between executive function and CEN for structural architecture (k=10; N=1,027) among patients with Alzheimer's disease (k=6; N=250) and healthy control subjects (HCs) (k=4; N=777) and for functional architecture (k=11; N=522) among patients with Alzheimer's disease (k=6; N=306) and HCs (k=5; N=216). Random-effects modeling was used to increase accuracy of conclusions about population means. RESULTS Analyses revealed a positive brain-behavior relationship (pr=0.032, 95% CI=0.07, 0.54), although there was a lack of statistically significant heterogeneity between functional and structural neuroimaging (Q=9.89, p=0.971, I2=0.00%) and between the Alzheimer's and HC groups in functional (Q=8.18, p=0.612, I2=0.00%) and structural (Q=1.60, p=0.996, I2=0.00%) neuroimaging. Similarly, a lack of statistically significant heterogeneity was revealed between functional and structural neuroimaging among patients with Alzheimer's disease (Q=3.59, p=0.980, I2=0.00%) and HCs (Q=3.67, p=0.885, I2=0.00%). CONCLUSIONS Structural and functional imaging in the CEN are predictive of executive function performance among patients with Alzheimer's disease and HCs. Regardless of how the CEN is affected, behavior is correlated to the degree to which the CEN is affected. Findings are significant in the context of methodological decisions in multimodal neuroimaging research.
Collapse
Affiliation(s)
- Katrina M Daigle
- Clinical Neuroscience of Cognitive Control Laboratory, Department of Psychology, Suffolk University, Boston (Daigle, Pietrzykowski, Waters, Gansler); and Department of Psychology, Suffolk University, Boston (Swenson)
| | - Malvina O Pietrzykowski
- Clinical Neuroscience of Cognitive Control Laboratory, Department of Psychology, Suffolk University, Boston (Daigle, Pietrzykowski, Waters, Gansler); and Department of Psychology, Suffolk University, Boston (Swenson)
| | - Abigail B Waters
- Clinical Neuroscience of Cognitive Control Laboratory, Department of Psychology, Suffolk University, Boston (Daigle, Pietrzykowski, Waters, Gansler); and Department of Psychology, Suffolk University, Boston (Swenson)
| | - Lance P Swenson
- Clinical Neuroscience of Cognitive Control Laboratory, Department of Psychology, Suffolk University, Boston (Daigle, Pietrzykowski, Waters, Gansler); and Department of Psychology, Suffolk University, Boston (Swenson)
| | - David A Gansler
- Clinical Neuroscience of Cognitive Control Laboratory, Department of Psychology, Suffolk University, Boston (Daigle, Pietrzykowski, Waters, Gansler); and Department of Psychology, Suffolk University, Boston (Swenson)
| |
Collapse
|
4
|
Heller NA, Shrestha H, Morrison DG, Daigle KM, Logan BA, Paul JA, Brown MS, Hayes MJ. Neonatal sleep development and early learning in infants with prenatal opioid exposure. Adv Child Dev Behav 2021; 60:199-228. [PMID: 33641794 DOI: 10.1016/bs.acdb.2020.07.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The aim of this chapter is to examine the role of sleep and cognition in the context of the cumulative risk model examining samples of at-risk infants and maternal-infant dyads. The cumulative risk model posits that non-optimal developmental outcomes are the result of multiple factors in a child's life including, but not limited to, prenatal teratogenic exposures, premature birth, family socioeconomic status, parenting style and cognitions as well as the focus of this volume, sleep. We highlight poor neonatal sleep as both an outcome of perinatal risk as well as a risk factor to developing attentional and cognitive capabilities during early childhood. Outcomes associated with and contributing to poor sleep and cognition during infancy are examined in relation to other known risks in our clinical population. Implications of this research and recommendations for interventions for this population are provided.
Collapse
Affiliation(s)
- Nicole A Heller
- Department of Psychology, Siena College, Loudonville, NY, United States
| | - Hira Shrestha
- Department of Pediatrics, Boston Medical Center, Boston, MA, United States
| | - Deborah G Morrison
- Department of Psychiatry, University of Florida, Gainesville, FL, United States
| | - Katrina M Daigle
- Department of Psychology, Suffolk University, Boston, MA, United States
| | - Beth A Logan
- Hillman Center for Pediatric Transplantation, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, United States
| | - Jonathan A Paul
- Graduate School of Biomedical Sciences and Engineering, University of Maine, Orono, ME, United States
| | - Mark S Brown
- Department of Pediatrics, Northern Light Eastern Maine Medical Center, Bangor, ME, United States
| | - Marie J Hayes
- Department of Psychology and Graduate School of Biomedical Sciences and Engineering, University of Maine, Orono, ME, United States.
| |
Collapse
|
5
|
Daigle KM, Heller NA, Sulinski EJ, Shim J, Lindblad W, Brown MS, Gosse JA, Hayes MJ. Maternal responsivity and oxytocin in opioid-dependent mothers. Dev Psychobiol 2020; 62:21-35. [PMID: 31401811 PMCID: PMC10465066 DOI: 10.1002/dev.21897] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 05/22/2019] [Accepted: 06/24/2019] [Indexed: 12/14/2022]
Abstract
Although prenatal opioid exposure and postnatal withdrawal (neonatal abstinence syndrome) are associated with infant neurobehavioral deficits, little is known about the impact of continued maternal opioid treatment in the postnatal period on maternal responsivity and relationship to mother's oxytocin release during dyadic interactions in the Still Face paradigm. Mother and infant dyads (N = 14) were recruited and comprised of mothers on opioid replacement throughout pregnancy and postpartum (opioid-exposed group, n = 7) and a demographically controlled, non-exposed group (n = 7). Salivary oxytocin was collected following 10 min of infant separation before and immediately after a 6-min Still Face paradigm. Oxytocin measures correlated strongly with sensitive and prosocial maternal behaviors in response to infant initiation. Opioid-exposed compared to non-exposed mothers had significantly lower pre-test to post-test rise in salivary oxytocin concentration level as well as fewer sensitive behaviors during the reunion condition of the Still Face paradigm. Maternal opioid dependence during early infancy may impair maternal responsivity and sensitivity through suppression of the oxytocin reflex to infant stimulation.
Collapse
Affiliation(s)
| | - Nicole A Heller
- Department of Psychology, Siena College, Loudonville, New York
| | | | - Juyoung Shim
- Department of Molecular and Biomedical Sciences, University of Maine, Orono, Maine
| | | | - Mark S Brown
- Department of Pediatrics, Northern Light Eastern Maine Medical Center, Bangor, Maine
| | - Julie A Gosse
- Department of Molecular and Biomedical Sciences, University of Maine, Orono, Maine
| | - Marie J Hayes
- Department of Psychology, University of Maine, Orono, Maine
- Graduate School of Biomedical Sciences and Engineering, University of Maine, Orono, Maine
| |
Collapse
|