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Adams JN, Márquez F, Larson MS, Janecek JT, Miranda BA, Noche JA, Taylor L, Hollearn MK, McMillan L, Keator DB, Head E, Rissman RA, Yassa MA. Differential involvement of hippocampal subfields in the relationship between Alzheimer's pathology and memory interference in older adults. Alzheimers Dement (Amst) 2023; 15:e12419. [PMID: 37035460 PMCID: PMC10075195 DOI: 10.1002/dad2.12419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 02/15/2023] [Accepted: 02/28/2023] [Indexed: 04/11/2023]
Abstract
Introduction We tested whether Alzheimer's disease (AD) pathology predicts memory deficits in non-demented older adults through its effects on medial temporal lobe (MTL) subregional volume. Methods Thirty-two, non-demented older adults with cerebrospinal fluid (CSF) (amyloid-beta [Aβ]42/Aβ40, phosphorylated tau [p-tau]181, total tau [t-tau]), positron emission tomography (PET; 18F-florbetapir), high-resolution structural magnetic resonance imaging (MRI), and neuropsychological assessment were analyzed. We examined relationships between biomarkers and a highly granular measure of memory consolidation, retroactive interference (RI). Results Biomarkers of AD pathology were related to RI. Dentate gyrus (DG) and CA3 volume were uniquely associated with RI, whereas CA1 and BA35 volume were related to both RI and overall memory recall. AD pathology was associated with reduced BA35, CA1, and subiculum volume. DG volume and Aβ were independently associated with RI, whereas CA1 volume mediated the relationship between AD pathology and RI. Discussion Integrity of distinct hippocampal subfields demonstrate differential relationships with pathology and memory function, indicating specificity in vulnerability and contribution to different memory processes.
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Affiliation(s)
- Jenna N. Adams
- Department of Neurobiology and Behavior and Center for the Neurobiology of Learning and MemoryUniversity of CaliforniaIrvineCaliforniaUSA
| | - Freddie Márquez
- Department of Neurobiology and Behavior and Center for the Neurobiology of Learning and MemoryUniversity of CaliforniaIrvineCaliforniaUSA
| | - Myra S. Larson
- Department of Neurobiology and Behavior and Center for the Neurobiology of Learning and MemoryUniversity of CaliforniaIrvineCaliforniaUSA
| | - John T. Janecek
- Department of Neurobiology and Behavior and Center for the Neurobiology of Learning and MemoryUniversity of CaliforniaIrvineCaliforniaUSA
| | - Blake A. Miranda
- Department of Neurobiology and Behavior and Center for the Neurobiology of Learning and MemoryUniversity of CaliforniaIrvineCaliforniaUSA
| | - Jessica A. Noche
- Department of Neurobiology and Behavior and Center for the Neurobiology of Learning and MemoryUniversity of CaliforniaIrvineCaliforniaUSA
| | - Lisa Taylor
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Martina K. Hollearn
- Department of Neurobiology and Behavior and Center for the Neurobiology of Learning and MemoryUniversity of CaliforniaIrvineCaliforniaUSA
| | - Liv McMillan
- Department of Neurobiology and Behavior and Center for the Neurobiology of Learning and MemoryUniversity of CaliforniaIrvineCaliforniaUSA
| | - David B. Keator
- Department of Psychiatry and Human BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Elizabeth Head
- Department of Pathology and Laboratory MedicineUniversity of CaliforniaIrvineCaliforniaUSA
- Department of NeurologyUniversity of CaliforniaIrvineCaliforniaUSA
- Department of NeurologyUniversity of KentuckyLexingtonKentuckyUSA
| | - Robert A. Rissman
- Department of NeurosciencesUniversity of CaliforniaSan DiegoCaliforniaUSA
- Veterans Affairs San Diego Healthcare SystemSan DiegoCaliforniaUSA
| | - Michael A. Yassa
- Department of Neurobiology and Behavior and Center for the Neurobiology of Learning and MemoryUniversity of CaliforniaIrvineCaliforniaUSA
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Granger SJ, Colon-Perez L, Larson MS, Bennett IJ, Phelan M, Keator DB, Janecek JT, Sathishkumar MT, Smith AP, McMillan L, Greenia D, Corrada MM, Kawas CH, Yassa MA. Reduced structural connectivity of the medial temporal lobe including the perforant path is associated with aging and verbal memory impairment. Neurobiol Aging 2023; 121:119-128. [PMID: 36434930 DOI: 10.1016/j.neurobiolaging.2022.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 10/20/2022] [Accepted: 10/22/2022] [Indexed: 11/11/2022]
Abstract
The perforant path, the white matter bundle connecting the entorhinal cortex (ERC) with the hippocampal formation deteriorates with age-related cognitive decline. Previous investigations using diffusion-weighted MRI to quantify perforant path integrity in-vivo have been limited due to image resolution or have quantified the perforant path using methods susceptible to partial volume effects such as the tensor model and without consideration of its 3-dimensional morphology. In this investigation, we use quantitative-anisotropy informed tractography derived from ultra-high resolution diffusion imaging (ZOOMit) to investigate structural connectivity of the perforant path and other medial temporal lobe (MTL) pathways in older adults (63 to 98 years old, n = 51). We show that graph density within the MTL declines with age and is associated with lower delayed recall performance. We also show that older age and poorer delayed recall are associated with reduced streamlines connecting the ERC and dentate gyrus of the hippocampus (the putative perforant path). This work suggest that intra-MTL connectivity may new candidate biomarkers for age-related cognitive decline.
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Affiliation(s)
- Steven J Granger
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA; Department of Neurobiology and Behavior, University of California, Irvine, CA
| | - Luis Colon-Perez
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA; Department of Neurobiology and Behavior, University of California, Irvine, CA
| | - Myra Saraí Larson
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA; Department of Neurobiology and Behavior, University of California, Irvine, CA
| | - Ilana J Bennett
- Department of Psychology, University of California, Riverside, CA
| | - Michael Phelan
- Department of Statistics, University of California, Irvine, CA
| | - David B Keator
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA
| | - John T Janecek
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA; Department of Neurobiology and Behavior, University of California, Irvine, CA
| | - Mithra T Sathishkumar
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA; Department of Neurobiology and Behavior, University of California, Irvine, CA
| | - Anna P Smith
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA; Department of Neurobiology and Behavior, University of California, Irvine, CA
| | - Liv McMillan
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA; Department of Neurobiology and Behavior, University of California, Irvine, CA
| | - Dana Greenia
- Department of Neurology, University of California, Irvine, CA
| | - Maria M Corrada
- Department of Neurology, University of California, Irvine, CA
| | - Claudia H Kawas
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA; Department of Neurobiology and Behavior, University of California, Irvine, CA; Department of Neurology, University of California, Irvine, CA
| | - Michael A Yassa
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA; Department of Neurobiology and Behavior, University of California, Irvine, CA; Department of Psychiatry and Human Behavior, University of California, Irvine, CA; Department of Neurology, University of California, Irvine, CA.
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Granger SJ, Colon-Perez L, Larson MS, Phelan M, Keator DB, Janecek JT, Sathishkumar MT, Smith AP, McMillan L, Greenia D, Corrada MM, Kawas CH, Yassa MA. Hippocampal dentate gyrus integrity revealed with ultrahigh resolution diffusion imaging predicts memory performance in older adults. Hippocampus 2022; 32:627-638. [PMID: 35838075 PMCID: PMC10510739 DOI: 10.1002/hipo.23456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 07/08/2021] [Revised: 05/26/2022] [Accepted: 06/30/2022] [Indexed: 11/08/2022]
Abstract
Medial temporal lobe (MTL) atrophy is a core feature of age-related cognitive decline and Alzheimer's disease (AD). While regional volumes and thickness are often used as a proxy for neurodegeneration, they lack the sensitivity to serve as an accurate diagnostic test and indicate advanced neurodegeneration. Here, we used a submillimeter resolution diffusion weighted MRI sequence (ZOOMit) to quantify microstructural properties of hippocampal subfields in older adults (63-98 years old) using tensor derived measures: fractional anisotropy (FA) and mean diffusivity (MD). We demonstrate that the high-resolution sequence, and not a standard resolution sequence, identifies dissociable profiles for CA1, dentate gyrus (DG), and the collateral sulcus. Using ZOOMit, we show that advanced age is associated with increased MD of the CA1 and DG as well as decreased FA of the DG. Increased MD of the DG, reflecting decreased cellular density, mediated the relationship between age and word list recall. Further, increased MD in the DG, but not DG volume, was linked to worse spatial pattern separation. Our results demonstrate that ultrahigh-resolution diffusion imaging enables the detection of microstructural differences in hippocampal subfield integrity and will lead to novel insights into the mechanisms of age-related memory loss.
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Affiliation(s)
- Steven J. Granger
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697
- Department of Neurobiology and Behavior, University of California, Irvine 92697
| | - Luis Colon-Perez
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697
- Department of Neurobiology and Behavior, University of California, Irvine 92697
| | - Myra Saraí Larson
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697
- Department of Neurobiology and Behavior, University of California, Irvine 92697
| | - Michael Phelan
- UC Institute for Memory Impairments and Neurological Disorders, University of California, Irvine 92697
| | - David B. Keator
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA 92697
| | - John T. Janecek
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697
- Department of Neurobiology and Behavior, University of California, Irvine 92697
| | - Mithra T. Sathishkumar
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697
- Department of Neurobiology and Behavior, University of California, Irvine 92697
| | - Anna P. Smith
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697
- Department of Neurobiology and Behavior, University of California, Irvine 92697
| | - Liv McMillan
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697
- Department of Neurobiology and Behavior, University of California, Irvine 92697
| | - Dana Greenia
- Department of Neurology, University of California, Irvine 92697
| | | | - Claudia H. Kawas
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697
- Department of Neurobiology and Behavior, University of California, Irvine 92697
- Department of Neurology, University of California, Irvine 92697
| | - Michael A. Yassa
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697
- Department of Neurobiology and Behavior, University of California, Irvine 92697
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA 92697
- Department of Neurology, University of California, Irvine 92697
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Granger SJ, Adams JG, Kark SM, Sathishkumar MT, Chen IY, Benca RM, McMillan L, Janecek JT, Yassa MA. Latent anxiety in clinical depression is associated with worse recognition of emotional stimuli. J Affect Disord 2022; 301:368-377. [PMID: 34999127 DOI: 10.1016/j.jad.2022.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 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] [Received: 06/25/2021] [Revised: 12/17/2021] [Accepted: 01/02/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND Major Depressive Disorder, characterized by cognitive affective biases, is a considerable public health challenge. Past work has shown that higher depressive symptoms are associated with augmented memory of negative stimuli. In contrast, anxiety symptoms have been associated with overgeneralization of emotional memories. Given the high comorbidity of depression and anxiety, it is critical to understand how cognitive affective biases are differentially associated with clinical symptoms. METHOD We used continuous measures of depression (Beck Depression Inventory [BDI-II]) and anxiety (Beck Anxiety Inventory [BAI]) to evaluate an adult sample (N = 79; 18-41 years old, 58 female). Emotional memory discrimination and recognition memory were tested using an emotional discrimination task. We applied exploratory factor analysis to questions from the BAI and BDI-II to uncover latent constructs consisting of negative affect, anhedonia, somatic anxiety, and cognitive anxiety. RESULTS We report evidence that anxious symptoms were associated with impaired recognition of negative items after accounting for age and sex. Our exploratory factor analysis revealed that impaired negative item recognition is largely associated with somatic and cognitive anxiety factors. LIMITATIONS Interpretations in a mixed pathology sample, especially given collinearity among factors, may be difficult. CONCLUSIONS We provide evidence that somatic and cognitive anxiety are related to impaired recognition memory for negative stimuli. Future clinical investigations should uncover the neurobiological basis supporting the link between recognition of negative stimuli and somatic/cognitive symptoms of anxiety.
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Affiliation(s)
- Steven J Granger
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697, USA; Department of Neurobiology and Behavior, University of California, Irvine 92697, USA
| | - Joren G Adams
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697, USA; Department of Neurobiology and Behavior, University of California, Irvine 92697, USA
| | - Sarah M Kark
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697, USA; Department of Neurobiology and Behavior, University of California, Irvine 92697, USA
| | - Mithra T Sathishkumar
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697, USA; Department of Neurobiology and Behavior, University of California, Irvine 92697, USA
| | - Ivy Y Chen
- Department of Psychiatry and Human Behavior, University of California, 1418 Biological Sciences 3, Irvine, CA 92697, USA
| | - Ruth M Benca
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697, USA; Department of Neurobiology and Behavior, University of California, Irvine 92697, USA; Department of Psychiatry and Human Behavior, University of California, 1418 Biological Sciences 3, Irvine, CA 92697, USA
| | - Liv McMillan
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697, USA; Department of Neurobiology and Behavior, University of California, Irvine 92697, USA
| | - John T Janecek
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697, USA; Department of Neurobiology and Behavior, University of California, Irvine 92697, USA
| | - Michael A Yassa
- Center for the Neurobiology of Learning and Memory, University of California, Irvine 92697, USA; Department of Neurobiology and Behavior, University of California, Irvine 92697, USA; Department of Psychiatry and Human Behavior, University of California, 1418 Biological Sciences 3, Irvine, CA 92697, USA.
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Granger SJ, Leal SL, Larson MS, Janecek JT, McMillan L, Stern H, Yassa MA. Integrity of the uncinate fasciculus is associated with emotional pattern separation-related fMRI signals in the hippocampal dentate and CA3. Neurobiol Learn Mem 2020; 177:107359. [PMID: 33285317 DOI: 10.1016/j.nlm.2020.107359] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 11/25/2020] [Accepted: 12/02/2020] [Indexed: 11/26/2022]
Abstract
Alterations in white matter integrity have been demonstrated in a number of psychiatric disorders involving emotional disruptions. One such pathway - the uncinate fasciculus - connects the orbitofrontal cortex (OFC) to the medial temporal lobes (MTL) and has been associated with early life adversity, maltreatment, anxiety, and depression. While it is purported to play a role in episodic memory and discrimination, its exact function remains poorly understood. We have previously described the role of the amygdala and dentate (DG)/CA3 fields of the hippocampus in the mnemonic discrimination of emotional experiences (i.e. emotional pattern separation). However, how this computation may be modulated by connectivity with the orbitofrontal cortex remains unknown. Here we asked if the uncinate fasciculus plays a role in influencing MTL subregional activity during emotional pattern separation. By combining diffusion imaging with high-resolution fMRI, we found that reduced integrity of the UF is related to elevated BOLD fMRI activation of the DG/CA3 subregions of the hippocampus during emotional lure discrimination. We additionally report that higher levels of DG/CA3 activity are associated with poorer memory performance, suggesting that greater activation in this network (possibly driven by CA3 recurrent collaterals) is associated with memory errors. Based on this work we suggest that the UF is one pathway that may allow the OFC to exert control on this network and improve discrimination of emotional experiences, although further work is necessary to fully evaluate this possibility. This work provides novel insight into the role of prefrontal interactions with the MTL, particularly in the context of emotional memory.
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Affiliation(s)
- Steven J Granger
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, United States; Department of Neurobiology and Behavior, University of California, Irvine, United States
| | - Stephanie L Leal
- Department of Psychological Sciences, Rice University, Houston, TX, United States
| | - Myra Saraí Larson
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, United States; Department of Neurobiology and Behavior, University of California, Irvine, United States
| | - John T Janecek
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, United States; Department of Neurobiology and Behavior, University of California, Irvine, United States
| | - Liv McMillan
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, United States; Department of Neurobiology and Behavior, University of California, Irvine, United States
| | - Hal Stern
- Department of Statistics, University of California, Irvine, United States
| | - Michael A Yassa
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, United States; Department of Neurobiology and Behavior, University of California, Irvine, United States.
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Chen Y, Abel KT, Janecek JT, Chen Y, Zheng K, Cramer SC. Home-based technologies for stroke rehabilitation: A systematic review. Int J Med Inform 2018; 123:11-22. [PMID: 30654899 DOI: 10.1016/j.ijmedinf.2018.12.001] [Citation(s) in RCA: 121] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Revised: 08/29/2018] [Accepted: 12/08/2018] [Indexed: 11/28/2022]
Abstract
BACKGROUND Many forms of home-based technology targeting stroke rehabilitation have been devised, and a number of human factors are important to their application, suggesting the need to examine this information in a comprehensive review. OBJECTIVE The systematic review aims to synthesize the current knowledge of technologies and human factors in home-based technologies for stroke rehabilitation. METHODS We conducted a systematic literature search in three electronic databases (IEEE, ACM, PubMed), including secondary citations from the literature search. We included articles that used technological means to help stroke patients conduct rehabilitation at home, reported empirical studies that evaluated the technologies with patients in the home environment, and were published in English. Three authors independently conducted the content analysis of searched articles using a list of interactively defined factors. RESULTS The search yielded 832 potentially relevant articles, leading to 31 articles that were included for in-depth analysis. The types of technology of reviewed articles included games, telerehabilitation, robotic devices, virtual reality devices, sensors, and tablets. We present the merits and limitations of each type of technology. We then derive two main human factors in designing home-based technologies for stroke rehabilitation: designing for engagement (including external and internal motivation) and designing for the home environment (including understanding the social context, practical challenges, and technical proficiency). CONCLUSION This systematic review presents an overview of key technologies and human factors for designing home-based technologies for stroke rehabilitation.
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Affiliation(s)
- Yu Chen
- School of Information Systems and Technology, San Jose State University, United States.
| | | | - John T Janecek
- Department of Computer Science, University of California, Irvine, United States
| | - Yunan Chen
- Department of Informatics, University of California, Irvine, United States
| | - Kai Zheng
- Department of Informatics, University of California, Irvine, United States
| | - Steven C Cramer
- Department of Neurology, University of California, Irvine, United States
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