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Frank C, Albertazzi A, Murphy C. The effect of the apolipoprotein E ε4 allele and olfactory function on odor identification networks. Brain Behav 2024; 14:e3524. [PMID: 38702902 PMCID: PMC11069025 DOI: 10.1002/brb3.3524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 04/11/2024] [Accepted: 04/17/2024] [Indexed: 05/06/2024] Open
Abstract
INTRODUCTION The combination of apolipoprotein E ε4 (ApoE ε4) status, odor identification, and odor familiarity predicts conversion to mild cognitive impairment (MCI) and Alzheimer's disease (AD). METHODS To further understand olfactory disturbances and AD risk, ApoE ε4 carrier (mean age 76.38 ± 5.21) and ε4 non-carrier (mean age 76.8 ± 3.35) adults were given odor familiarity and identification tests and performed an odor identification task during fMRI scanning. Five task-related functional networks were detected using independent components analysis. Main and interaction effects of mean odor familiarity ratings, odor identification scores, and ε4 status on network activation and task-modulation of network functional connectivity (FC) during correct and incorrect odor identification (hits and misses), controlling for age and sex, were explored using multiple linear regression. RESULTS Findings suggested that sensory-olfactory network activation was positively associated with odor identification scores in ε4 carriers with intact odor familiarity. The FC of sensory-olfactory, multisensory-semantic integration, and occipitoparietal networks was altered in ε4 carriers with poorer odor familiarity and identification. In ε4 carriers with poorer familiarity, connectivity between superior frontal areas and the sensory-olfactory network was negatively associated with odor identification scores. CONCLUSIONS The results contribute to the clarification of the neurocognitive structure of odor identification processing and suggest that poorer odor familiarity and identification in ε4 carriers may signal multi-network dysfunction. Odor familiarity and identification assessment in ε4 carriers may contribute to the predictive value of risk for MCI and AD due to the breakdown of sensory-cognitive network integration. Additional research on olfactory processing in those at risk for AD is warranted.
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Affiliation(s)
- Conner Frank
- SDSU/UC San Diego Joint Doctoral Program in Clinical PsychologySan DiegoCaliforniaUSA
| | - Abigail Albertazzi
- Department of PsychologySan Diego State UniversitySan DiegoCaliforniaUSA
| | - Claire Murphy
- Department of PsychologySan Diego State UniversitySan DiegoCaliforniaUSA
- Department of PsychiatryUniversity of California San DiegoLa JollaCaliforniaUSA
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Mignot C, Weise S, Podlesek D, Leonhardt G, Bensafi M, Hummel T. What do brain oscillations tell about the human sense of smell? J Neurosci Res 2024; 102:e25335. [PMID: 38634155 DOI: 10.1002/jnr.25335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 04/04/2024] [Accepted: 04/06/2024] [Indexed: 04/19/2024]
Abstract
Brain activity may manifest itself as oscillations which are repetitive rhythms of neuronal firing. These local field potentials can be measured via intracranial electroencephalography (iEEG). This review focuses on iEEG used to map human brain structures involved in olfaction. After presenting the methodology of the review, a summary of the brain structures involved in olfaction is given, followed by a review of the literature on human olfactory oscillations in different contexts. A single case is provided as an illustration of the olfactory oscillations. Overall, the timing and sequence of oscillations found in the different structures of the olfactory system seem to play an important role for olfactory perception.
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Affiliation(s)
- Coralie Mignot
- Smell & Taste Clinic, Department of Otorhinolaryngology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Susanne Weise
- Smell & Taste Clinic, Department of Otorhinolaryngology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Dino Podlesek
- Department of Neurosurgery, Technische Universität Dresden, Dresden, Germany
| | - Georg Leonhardt
- Department of Neurosurgery, Technische Universität Dresden, Dresden, Germany
| | - Moustafa Bensafi
- Lyon Neuroscience Research Center, CNRS-INSERM-University Claude Bernard of Lyon, CH Le Vinatier, Lyon, France
| | - Thomas Hummel
- Smell & Taste Clinic, Department of Otorhinolaryngology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
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3
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Liu D, Lu J, Wei L, Yao M, Yang H, Lv P, Wang H, Zhu Y, Zhu Z, Zhang X, Chen J, Yang QX, Zhang B. Olfactory deficit: a potential functional marker across the Alzheimer's disease continuum. Front Neurosci 2024; 18:1309482. [PMID: 38435057 PMCID: PMC10907997 DOI: 10.3389/fnins.2024.1309482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 02/02/2024] [Indexed: 03/05/2024] Open
Abstract
Alzheimer's disease (AD) is a prevalent form of dementia that affects an estimated 32 million individuals globally. Identifying early indicators is vital for screening at-risk populations and implementing timely interventions. At present, there is an urgent need for early and sensitive biomarkers to screen individuals at risk of AD. Among all sensory biomarkers, olfaction is currently one of the most promising indicators for AD. Olfactory dysfunction signifies a decline in the ability to detect, identify, or remember odors. Within the spectrum of AD, impairment in olfactory identification precedes detectable cognitive impairments, including mild cognitive impairment (MCI) and even the stage of subjective cognitive decline (SCD), by several years. Olfactory impairment is closely linked to the clinical symptoms and neuropathological biomarkers of AD, accompanied by significant structural and functional abnormalities in the brain. Olfactory behavior examination can subjectively evaluate the abilities of olfactory identification, threshold, and discrimination. Olfactory functional magnetic resonance imaging (fMRI) can provide a relatively objective assessment of olfactory capabilities, with the potential to become a promising tool for exploring the neural mechanisms of olfactory damage in AD. Here, we provide a timely review of recent literature on the characteristics, neuropathology, and examination of olfactory dysfunction in the AD continuum. We focus on the early changes in olfactory indicators detected by behavioral and fMRI assessments and discuss the potential of these techniques in MCI and preclinical AD. Despite the challenges and limitations of existing research, olfactory dysfunction has demonstrated its value in assessing neurodegenerative diseases and may serve as an early indicator of AD in the future.
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Affiliation(s)
- Dongming Liu
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Jiaming Lu
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Liangpeng Wei
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Mei Yao
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Huiquan Yang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Pin Lv
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Haoyao Wang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Yajing Zhu
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Zhengyang Zhu
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Xin Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Jiu Chen
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Qing X. Yang
- Department of Radiology, Center for NMR Research, Penn State University College of Medicine, Hershey, PA, United States
| | - Bing Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
- State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China
- Jiangsu Key Laboratory of Molecular Medicine, Nanjing, China
- Institute of Brain Science, Nanjing University, Nanjing, China
- Jiangsu Provincial Medical Key Discipline (Laboratory), Nanjing, China
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Ekanayake A, Yang Q, Kanekar S, Ahmed B, McCaslin S, Kalra D, Eslinger P, Karunanayaka P. Monorhinal and Birhinal Odor Processing in Humans: an fMRI investigation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.01.551475. [PMID: 37577649 PMCID: PMC10418263 DOI: 10.1101/2023.08.01.551475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
The olfactory nerve, also known as cranial nerve I, is known to have exclusive ipsilateral projections to primary olfactory cortical structures. It is still unclear whether these projections also correspond to functional pathways of odor processing. In an olfactory functional magnetic resonance imaging (fMRI) study of twenty young healthy subjects with a normal sense of smell, we tested whether nostril specific stimulation with phenyl ethyl alcohol (PEA), a pure olfactory stimulant, asymmetrically activates primary or secondary olfactory-related brain structures such as primary olfactory cortex, entorhinal cortex, and orbitofrontal cortex. The results indicated that without a challenging olfactory task, passive (no sniffing) and active (with sniffing) nostril-specific PEA stimulation did not produce asymmetrical fMRI activation in olfactory cortical structures.
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Affiliation(s)
- Anupa Ekanayake
- Grodno State Medical University, Grodno, Belarus
- Department of Radiology, Penn State University College of Medicine, Hershey, PA, USA
| | - Qing Yang
- Department of Radiology, Penn State University College of Medicine, Hershey, PA, USA
- Department of Neurosurgery, Penn State University College of Medicine, Hershey, PA, USA
| | - Sangam Kanekar
- Department of Radiology, Penn State University College of Medicine, Hershey, PA, USA
| | - Biyar Ahmed
- Department of Radiology, Penn State University College of Medicine, Hershey, PA, USA
| | - Silas McCaslin
- Department of Radiology, Penn State University College of Medicine, Hershey, PA, USA
| | - Deepak Kalra
- Department of Neurology, Penn State University College of Medicine, Hershey, PA, USA
| | - Paul Eslinger
- Department of Radiology, Penn State University College of Medicine, Hershey, PA, USA
- Department of Neurology, Penn State University College of Medicine, Hershey, PA, USA
| | - Prasanna Karunanayaka
- Department of Radiology, Penn State University College of Medicine, Hershey, PA, USA
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5
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Oka N, Iwai K, Sakai H. The neural substrates responsible for food odor processing: an activation likelihood estimation meta-analysis. Front Neurosci 2023; 17:1191617. [PMID: 37424999 PMCID: PMC10326844 DOI: 10.3389/fnins.2023.1191617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 06/07/2023] [Indexed: 07/11/2023] Open
Abstract
In many species including humans, food odors appear to play a distinct role when compared with other odors. Despite their functional distinction, the neural substrates responsible for food odor processing remain unclear in humans. This study aimed to identify brain regions involved in food odor processing using activation likelihood estimation (ALE) meta-analysis. We selected olfactory neuroimaging studies conducted with sufficient methodological validity using pleasant odors. We then divided the studies into food and non-food odor conditions. Finally, we performed an ALE meta-analysis for each category and compared the ALE maps of the two categories to identify the neural substrates responsible for food odor processing after minimizing the confounding factor of odor pleasantness. The resultant ALE maps revealed that early olfactory areas are more extensively activated by food than non-food odors. Subsequent contrast analysis identified a cluster in the left putamen as the most likely neural substrate underlying food odor processing. In conclusion, food odor processing is characterized by the functional network involved in olfactory sensorimotor transformation for approaching behaviors to edible odors, such as active sniffing.
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He S, Peng T, He W, Gou C, Hou C, Tan J, Wang X. Comparative Study of Brain fMRI of Olfactory Stimulation in Neuromyelitis Optica Spectrum Disease and Multiple Sclerosis. Front Neurosci 2022; 15:813157. [PMID: 35082598 PMCID: PMC8785660 DOI: 10.3389/fnins.2021.813157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 12/16/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: To observe the characteristics of brain fMRI during olfactory stimulation in patients with neuromyelitis optica spectrum disease (NMOSD) and multiple sclerosis (MS), compare the differences of brain functional activation areas between patients with NMOSD and MS, and explore the characteristics of olfactory-related brain networks of NMOSD and MS. Methods: Nineteen patients with NMOSD and 16 patients with MS who met the diagnostic criteria were recruited, and 19 healthy controls matched by sex and age were recruited. The olfactory function of all participants was assessed using the visual analog scale (VAS). Olfactory stimulation was alternately performed using a volatile body (lavender and rose solution) and the difference in brain activation was evaluated by task-taste fMRI scanning simultaneously. Results: Activation intensity was weaker in the NMOSD group than in the healthy controls, including the left rectus, right superior temporal gyrus, and left cuneus. The activation intensity was stronger for the NMOSD than the controls in the left insula and left middle frontal gyrus (P < 0.05). Activation intensity was weaker in the MS group than the healthy controls in the bilateral hippocampus, right parahippocampal gyrus, right insula, left rectus gyrus, and right precentral gyrus, and stronger in the left paracentral lobule among the MS than the controls (P < 0.05). Compared with the MS group, activation intensity in the NMOSD group was weaker in the right superior temporal gyrus and left paracentral lobule, while it was stronger among the NMOSD group in the bilateral insula, bilateral hippocampus, bilateral parahippocampal gyrus, left inferior orbital gyrus, left superior temporal gyrus, left putamen, and left middle frontal gyrus (P < 0.05). Conclusion: Olfactory-related brain networks are altered in both patients, and there are differences between their olfactory-related brain networks. It may provide a new reference index for the clinical differentiation and disease evaluation of NMOSD and MS. Moreover, further studies are needed.
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Affiliation(s)
- Shaoyue He
- Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, China
- Department of Neurology, The People’s Hospital of Dazu, Chongqing, China
| | - Tingting Peng
- Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, China
- Department of Neurology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Weiwei He
- Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, China
- Department of Neurology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Chen Gou
- Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, China
- Department of Neurology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Changyue Hou
- Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, China
| | - Juan Tan
- Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, China
- Department of Neurology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
- Juan Tan,
| | - Xiaoming Wang
- Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, China
- Department of Neurology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
- *Correspondence: Xiaoming Wang,
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Torske A, Koch K, Eickhoff S, Freiherr J. Localizing the human brain response to olfactory stimulation: A meta-analytic approach. Neurosci Biobehav Rev 2021; 134:104512. [PMID: 34968523 DOI: 10.1016/j.neubiorev.2021.12.035] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 11/18/2021] [Accepted: 12/20/2021] [Indexed: 11/28/2022]
Abstract
The human sense of smell and the ability to detect and distinguish odors allows for the extraction of valuable information from the environment, thereby driving human behavior. Not only can the sense of smell help to monitor the safety of inhaled air, but it can also help to evaluate the edibility of food. Therefore, in an effort to further our understanding of the human sense of smell, the aim of this meta-analysis was to provide the scientific community with activation probability maps of the functional anatomy of the olfactory system, in addition to separate activation maps for specific odor categories (pleasant, food, and aversive odors). The activation likelihood estimation (ALE) method was utilized to quantify all relevant and available data to perform a formal statistical analysis on the inter-study concordance of various odor categories. A total of 81 studies (108 contrasts, 1053 foci) fulfilled our inclusion criteria. Significant ALE peaks were observed in all odor categories in brain areas typically associated with the functional neuroanatomy of olfaction including the piriform cortex, amygdala, insula, and orbitofrontal cortex, amongst others. Additional contrast analyses indicate clear differences in neural activation patterns between odor categories.
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Affiliation(s)
- A Torske
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Germany; Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technical University of Munich, Munich, Germany; Graduate School of Systemic Neurosciences, Ludwig Maximilians Universität München, Martinsried, Germany
| | - K Koch
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Germany; Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technical University of Munich, Munich, Germany; Graduate School of Systemic Neurosciences, Ludwig Maximilians Universität München, Martinsried, Germany
| | - S Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - J Freiherr
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany; Institute for Process Engineering and Packaging IVV, Sensory Analytics and Technologies, Fraunhofer Freising, Germany.
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8
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Li D, Wang X. The processing characteristics of bodily expressions under the odor context: An ERP study. Behav Brain Res 2021; 414:113494. [PMID: 34329669 DOI: 10.1016/j.bbr.2021.113494] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 07/15/2021] [Accepted: 07/22/2021] [Indexed: 12/25/2022]
Abstract
The recognition of facial expressions has been shown to be influenced by contextual odors. The aims of this study were (1) to investigate whether odor has a similar effect on the recognition of bodily expressions, and (2) to analyze the time-course of such effects. Sixty-nine adults were randomized into three groups to identify bodily expressions (happy, fearful, and neutral) in three odor environments (pleasant odor, unpleasant odor, and no odor). Event-related potentials (ERPs) induced by the viewing bodily expressions were analyzed. Behaviorally, the unpleasant odor context promoted the recognition of bodily expressions. The ERP results showed odor influences on bodily expression recognition in two phases. In a middle stage phase (150-200 ms post-stimulus onset), VPP amplitudes induced by bodily expressions were greater in an unpleasant odor context than in a pleasant odor context. In a mid-late stage phase (beyond 200 ms), an interaction between contextual odor and bodily expression type was observed. When exposed to an unpleasant contextual odor, N2 and LPP amplitudes related to fearful bodily expressions were smaller than when exposed to other odor contexts, showing the promoting effect of mood coherence effect. Behavioral and ERP evidence confirmed that contextual odor can modulate the visual processing of bodily expressions, with an overall promoting effect of an unpleasant odor on bodily expression processing (phase one) and a specific modulating influence of odors on affectively congruent/incongruent bodily expressions (phase two).
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Affiliation(s)
- Danyang Li
- School of Psychology, Shanghai University of Sport, Shanghai, 200438, China
| | - Xiaochun Wang
- School of Psychology, Shanghai University of Sport, Shanghai, 200438, China.
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Tzeng WY, Figarella K, Garaschuk O. Olfactory impairment in men and mice related to aging and amyloid-induced pathology. Pflugers Arch 2021; 473:805-821. [PMID: 33608800 PMCID: PMC7895745 DOI: 10.1007/s00424-021-02527-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 01/07/2021] [Accepted: 01/28/2021] [Indexed: 12/31/2022]
Abstract
Olfaction, or the sense of smell, is one of the most ancient senses in men and mice, important for a large variety of innate and acquired behaviors. Clinical data reveal an early impairment of olfaction during normal aging and in the course of neurodegenerative diseases, but the underlying cellular/molecular mechanisms remain obscure. In the current review, we compare different aspects of the aging- and Alzheimer's disease related impairment of olfaction in men and mice, aiming at the identification of common morbidities and biomarkers, which can be analyzed in detail in the appropriate mouse models. We also identify common, often interdependent (patho)physiological pathways, including but not limited to extracellular amyloid depositions, neuroinflammation, ɛ4 allele of the apolipoprotein E, CNS insulin resistance, and the impairment of adult neurogenesis, to be targeted by basic and clinical research.
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Affiliation(s)
- Wen-Yu Tzeng
- Institute of Physiology, Department of Neurophysiology, Eberhard Karls University of Tübingen, Keplerstr. 15, 72074, Tübingen, Germany
| | - Katherine Figarella
- Institute of Physiology, Department of Neurophysiology, Eberhard Karls University of Tübingen, Keplerstr. 15, 72074, Tübingen, Germany
| | - Olga Garaschuk
- Institute of Physiology, Department of Neurophysiology, Eberhard Karls University of Tübingen, Keplerstr. 15, 72074, Tübingen, Germany.
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10
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Rai N, Hipolito MM, VanMeter JW, Seth R, Adenuga A, Shelby M, Misiak-Christian M, Nwaokobia C, Manaye KF, Obisesan TO, Nwulia E. Comparative Effects of Repetitive Odor Identification and Odor Memory Tasks on Olfactory Engagement in Older Populations - A Pilot fMRI Study. Neuropsychiatr Dis Treat 2021; 17:1279-1288. [PMID: 33958869 PMCID: PMC8096456 DOI: 10.2147/ndt.s298303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 03/11/2021] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE This study evaluated human Blood Oxygen Level-Dependent (BOLD) responses in primary and higher-order olfactory regions of older adults, using odor memory and odor identification tasks. The goal was to determine which olfactory and memory regions of interest are more strongly engaged in older populations comparing these two odor training tasks. METHODS Twelve adults 55-75 years old (75% females) without intranasal or major neurological disorders performed repetitive odor memory and identification tasks using a 3-tesla magnetic resonance scanner. Odors were presented intermittently at 10-second bursts separated by 20-second intervals of odorless air. Paired t-tests were used to compare differences in the degree of activation between odor identification and odor memory tasks within individuals. An FDR cluster-level correction of p<0.05 was used for multiplicity of tests (with a cluster-defining threshold set at p<0.01 and 10 voxels). RESULTS Odor identification compared to memory (ie, odor identification > odor memory) contrasts had several areas of significant activation, including many of the classical olfactory brain regions as well as the hippocampus. The opposite contrast (odor memory > odor identification) included the piriform cortex, though this was not significant. Both tasks equally activated the piriform cortex, and thus when the two tasks are compared to each other this area of activation appears to be either absent (OI > OM) or only weakly observed (OM > OI). CONCLUSION These findings from a predominantly African American sample suggest that odor identification tasks may be more potent than memory tasks in targeted olfactory engagement in older populations. Furthermore, repetitive odor identification significantly engaged the hippocampus - a region relevant to Alzheimer's disease - more significantly than did the odor memory task. If validated in larger studies, this result could have important implications in the design of olfactory training paradigms.
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Affiliation(s)
- Narayan Rai
- Department of Psychiatry and Behavioral Sciences, Howard University, Washington DC, USA
| | | | - John W VanMeter
- Department of Neurology, Center for Functional and Molecular Imaging, Georgetown University Medical Center, Washington DC, USA
| | | | | | | | | | | | | | | | - Evaristus Nwulia
- Department of Psychiatry and Behavioral Sciences, Howard University, Washington DC, USA
- Evon Medics LLC, Elkridge, MD, USA
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11
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Zhou G, Olofsson JK, Koubeissi MZ, Menelaou G, Rosenow J, Schuele SU, Xu P, Voss JL, Lane G, Zelano C. Human hippocampal connectivity is stronger in olfaction than other sensory systems. Prog Neurobiol 2021; 201:102027. [PMID: 33640412 DOI: 10.1016/j.pneurobio.2021.102027] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 01/20/2021] [Accepted: 02/21/2021] [Indexed: 12/17/2022]
Abstract
During mammalian evolution, primate neocortex expanded, shifting hippocampal functional networks away from primary sensory cortices, towards association cortices. Reflecting this rerouting, human resting hippocampal functional networks preferentially include higher association cortices, while those in rodents retained primary sensory cortices. Research on human visual, auditory and somatosensory systems shows evidence of this rerouting. Olfaction, however, is unique among sensory systems in its relative structural conservation throughout mammalian evolution, and it is unknown whether human primary olfactory cortex was subject to the same rerouting. We combined functional neuroimaging and intracranial electrophysiology to directly compare hippocampal functional networks across human sensory systems. We show that human primary olfactory cortex-including the anterior olfactory nucleus, olfactory tubercle and piriform cortex-has stronger functional connectivity with hippocampal networks at rest, compared to other sensory systems. This suggests that unlike other sensory systems, olfactory-hippocampal connectivity may have been retained in mammalian evolution. We further show that olfactory-hippocampal connectivity oscillates with nasal breathing. Our findings suggest olfaction might provide insight into how memory and cognition depend on hippocampal interactions.
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Affiliation(s)
- Guangyu Zhou
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Jonas K Olofsson
- Department of Psychology, Stockholm University, Stockholm, Sweden; Emotional Brain Institute, Nathan S. Kline Institute, Orangeburg, NY, USA; Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY, USA
| | | | | | - Joshua Rosenow
- Department of Neurosurgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Stephan U Schuele
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Pengfei Xu
- Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, China; Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China; Guangdong-Hong Kong-Macao Greater Bay Area Research Institute for Neuroscience and Neurotechnologies, Kwun Tong, Hong Kong, China
| | - Joel L Voss
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Gregory Lane
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Christina Zelano
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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12
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Individual variability of olfactory fMRI in normosmia and olfactory dysfunction. Eur Arch Otorhinolaryngol 2020; 278:379-387. [PMID: 32803385 PMCID: PMC7826297 DOI: 10.1007/s00405-020-06233-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 07/18/2020] [Indexed: 12/22/2022]
Abstract
Purpose The diagnosis of olfactory dysfunction is mainly based on psychophysical measurements. The aim of the current study was to investigate how well the olfactory functional magnetic resonance imaging (fMRI) can effectively distinguish between normosmic people and subjects with olfactory dysfunction. Methods Thirty-eight participants were recruited for the study. Group 1 consisted of 22 subjects with olfactory dysfunction (mean age = 44.3 years, SD = 18.6), and Group two consisted of 16 participants with normal olfactory function (mean age = 49.6 years, SD = 11.6). Olfactory functions were assessed in great detail for all participants, and brain activation in response to odorous stimulation was assessed using fMRI. Results The between-group comparison showed stronger odor induced brain activation of the primary olfactory area and the insular cortex among the normosmic group as compared to the dysosmic group. As indicated by the individual analysis, positive responses in the primary olfactory cortex were significantly higher in normosmic people (94%) than in subjects with olfactory dysfunction (41%). However, there was no association between individual fMRI parameters (including the percentage of BOLD signal change, activated cluster size and peak z value), and psychophysical olfactory test scores. Receiver operating characteristic analysis suggested the subjects could not be differentiated from normosmics based on their BOLD signal from the primary olfactory area, orbitofrontal cortex, or the insular cortex. Conclusion There are large inter-individual variabilities for odor-induced brain activation among normosmic subjects and subjects with olfactory dysfunction, due to this variation, at present it appears problematic to diagnose olfactory dysfunction on an individual level using fMRI.
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13
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Zhang H, Giannakopoulos P, Haller S, Lee SW, Qiu S, Shen D. Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment. Neuroinformatics 2020; 17:547-561. [PMID: 30739281 DOI: 10.1007/s12021-018-9413-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Little is known about the high-order interactions among brain regions measured by the similarity of higher-order features (other than the raw blood-oxygen-level-dependent signals) which can characterize higher-level brain functional connectivity (FC). Previously, we proposed FC topographical profile-based high-order FC (HOFC) and found that this metric could provide supplementary information to traditional FC for early Alzheimer's disease (AD) detection. However, whether such findings apply to network-level brain functional integration is unknown. In this paper, we propose an extended HOFC method, termed inter-network high-order FC (IN-HOFC), as a useful complement to the traditional inter-network FC methods, for characterizing more complex organizations among the large-scale brain networks. In the IN-HOFC, both network definition and inter-network FC are defined in a high-order manner. To test whether IN-HOFC is more sensitive to cognition decline due to brain diseases than traditional inter-network FC, 77 mild cognitive impairments (MCIs) and 89 controls are compared among the conventional methods and our IN-HOFC. The result shows that IN-HOFCs among three temporal lobe-related high-order networks are dampened in MCIs. The impairment of IN-HOFC is especially found between the anterior and posterior medial temporal lobe and could be a potential MCI biomarker at the network level. The competing network-level low-order FC methods, however, either revealing less or failing to detect any group difference. This work demonstrates the biological meaning and potential diagnostic value of the IN-HOFC in clinical neuroscience studies.
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Affiliation(s)
- Han Zhang
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, CB#7513, 130 Mason Farm Road, Chapel Hill, NC, 27599, USA
| | | | - Sven Haller
- Affidea CDRC - Centre Diagnostique Radiologique de Carouge, Carouge, Switzerland
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
- Department of Neuroradiology, University Hospital Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Seong-Whan Lee
- Department of Brain and Cognitive Engineering, Korea University, Seoul, 02841, Republic of Korea
| | - Shijun Qiu
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, 16 Jichang Road, Guangzhou, 510405, Guangdong, China.
| | - Dinggang Shen
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, CB#7513, 130 Mason Farm Road, Chapel Hill, NC, 27599, USA.
- Department of Brain and Cognitive Engineering, Korea University, Seoul, 02841, Republic of Korea.
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14
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Schienle A, Höfler C, Keck T, Wabnegger A. Neural underpinnings of perception and experience of disgust in individuals with a reduced sense of smell: An fMRI study. Neuropsychologia 2020; 141:107411. [PMID: 32113920 DOI: 10.1016/j.neuropsychologia.2020.107411] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 01/28/2020] [Accepted: 02/22/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND Individuals with reduced olfactory function (anosmia, hyposmia) have reported changes in disgust perception and disgust experience compared to normosmic controls. The current functional magnetic resonance imaging (fMRI) study investigated the neural underpinnings of the altered disgust processing. METHOD Twenty-four patients with anosmia or hyposmia and 26 normosmic controls were presented with images depicting facial expressions and scenes from the categories disgust and neutral. The disgusting scenes depicted stimuli that typically smell repulsive (spoiled food, excrements). Brain activity and structure in the primary olfactory cortex (POC) and in a region that processes affective/motivational olfactory-related information (insula, orbitofrontal cortex, basal ganglia) were compared between the two groups. RESULTS The anosmic/hyposmic participants were characterized by greater activation in the POC while looking at disgusting scenes. The POC can be activated by olfactory imagery and holds predictive templates of olfactory stimuli. The neural processing of the facial stimuli did not differ between the two groups. Additionally, group differences in functional connectivity and brain structure were not present or only minor. CONCLUSION The increased POC activation in anosmic/hyposmic patients might reflect a compensatory process that helps to compensate for their olfactory deficit. However, in general, this study identified only small adaptations in the neural disgust system as a consequence of reduced olfactory function.
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Affiliation(s)
- Anne Schienle
- Clinical Psychology, University of Graz, BioTechMed, Graz, Austria.
| | - Carina Höfler
- Clinical Psychology, University of Graz, BioTechMed, Graz, Austria
| | - Tilmann Keck
- Department of Otorhinolaryngology, Krankenhaus der Elisabethinen, Graz, Austria
| | - Albert Wabnegger
- Clinical Psychology, University of Graz, BioTechMed, Graz, Austria
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15
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Dahmani L, Courcot B, Near J, Patel R, Amaral RSC, Chakravarty MM, Bohbot VD. Fimbria-Fornix Volume Is Associated With Spatial Memory and Olfactory Identification in Humans. Front Syst Neurosci 2020; 13:87. [PMID: 32009912 PMCID: PMC6971190 DOI: 10.3389/fnsys.2019.00087] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 12/23/2019] [Indexed: 11/13/2022] Open
Abstract
White matter pathways that surround the hippocampus comprise its afferent and efferent connections, and are therefore crucial in mediating the function of the hippocampus. We recently demonstrated a role for the hippocampus in both spatial memory and olfactory identification in humans. In the current study, we focused our attention on the fimbria-fornix white matter bundle and investigated its relationship with spatial memory and olfactory identification. We administered a virtual navigation task and an olfactory identification task to 55 young healthy adults and measured the volume of the fimbria-fornix. We found that the volume of the right fimbria-fornix and its subdivisions is correlated with both navigational learning and olfactory identification in those who use hippocampus-based spatial memory strategies, and not in those who use caudate nucleus-based navigation strategies. These results are consistent with our recent finding that spatial memory and olfaction rely on similar neural networks and structures.
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Affiliation(s)
- Louisa Dahmani
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada
| | - Blandine Courcot
- Douglas Brain Imaging Center, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Jamie Near
- Douglas Brain Imaging Center, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Raihaan Patel
- Douglas Brain Imaging Center, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Robert S C Amaral
- Douglas Brain Imaging Center, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - M Mallar Chakravarty
- Douglas Brain Imaging Center, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Véronique D Bohbot
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
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16
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Zhang H, Ji D, Yin J, Wang Z, Zhou Y, Ni H, Liu Y. Olfactory fMRI Activation Pattern Across Different Concentrations Changes in Alzheimer's Disease. Front Neurosci 2019; 13:786. [PMID: 31417348 PMCID: PMC6682702 DOI: 10.3389/fnins.2019.00786] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 07/15/2019] [Indexed: 11/26/2022] Open
Abstract
The olfactory involvement is an early feature of Alzheimer’s disease (AD). Olfactory functional MRI (fMRI) is an objective method to evaluate the olfactory function, but might be affected by the individual variation and the magnetic susceptibility artifact of basis cranii. To improve the reliability of olfactory fMRI, we explored the response of primary olfactory cortex (POC) across three different concentrations of odors. Fourty-four normal controls, 46 subjects with mild cognitive impairment (MCI), and 44 patients with AD underwent olfactory fMRI using lavender stimuli of three different (0.10, 0.33, and 1.00%) concentrations during one fMRI sequence with a 3.0T MRI scanner. The numbers of activated voxels in the POC, especially the activation changes during different concentrations were, analyzed. The POC activation pattern of controls showed olfactory adaptation at the higher concentration, whereas the AD patients showed not only increased olfactory threshold but also a lack of olfactory habituation. Five types of activation patterns across different concentrations were summarized to evaluate the olfactory function. The results showed that the activation pattern effectively found 40/44 (90.9%) of the ADs with impaired habituation, whereas 31/44 (70.5%) of the normal controls showed normal olfactory habituation. In MCIs, 29/46 (63.0%) of subjects showed impaired habituation. This finding indicates that the POC activation pattern of olfactory fMRI across different concentrations is useful in evaluating the olfactory function, which is important in the detection of early AD among MCI cases.
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Affiliation(s)
- Hui Zhang
- Department of Radiology, Tianjin First Central Hospital, Tianjin, China.,Department of Radiology, First Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Dongxu Ji
- Department of Radiology, Tianjin First Central Hospital, Tianjin, China
| | - Jianzhong Yin
- Department of Radiology, Tianjin First Central Hospital, Tianjin, China
| | - Zhiyun Wang
- Department of Neurology, Tianjin First Central Hospital, Tianjin, China
| | - Yuying Zhou
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Hongyan Ni
- Department of Radiology, Tianjin First Central Hospital, Tianjin, China
| | - Yawu Liu
- Departments of Clinical Radiology and Neurology, Kuopio University Hospital, University of Eastern Finland, Kuopio, Finland
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17
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Zhou G, Lane G, Cooper SL, Kahnt T, Zelano C. Characterizing functional pathways of the human olfactory system. eLife 2019; 8:47177. [PMID: 31339489 PMCID: PMC6656430 DOI: 10.7554/elife.47177] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 07/09/2019] [Indexed: 11/23/2022] Open
Abstract
The central processing pathways of the human olfactory system are not fully understood. The olfactory bulb projects directly to a number of cortical brain structures, but the distinct networks formed by projections from each of these structures to the rest of the brain have not been well-defined. Here, we used functional magnetic resonance imaging and k-means clustering to parcellate human primary olfactory cortex into clusters based on whole-brain functional connectivity patterns. Resulting clusters accurately corresponded to anterior olfactory nucleus, olfactory tubercle, and frontal and temporal piriform cortices, suggesting dissociable whole-brain networks formed by the subregions of primary olfactory cortex. This result was replicated in an independent data set. We then characterized the unique functional connectivity profiles of each subregion, producing a map of the large-scale processing pathways of the human olfactory system. These results provide insight into the functional and anatomical organization of the human olfactory system.
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Affiliation(s)
- Guangyu Zhou
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, United States
| | - Gregory Lane
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, United States
| | - Shiloh L Cooper
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, United States
| | - Thorsten Kahnt
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, United States.,Department of Psychology, Weinberg College of Arts and Sciences, Northwestern University, Evanston, United States
| | - Christina Zelano
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, United States
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18
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Lu J, Yang QX, Zhang H, Eslinger PJ, Zhang X, Wu S, Zhang B, Zhu B, Karunanayaka PR. Disruptions of the olfactory and default mode networks in Alzheimer's disease. Brain Behav 2019; 9:e01296. [PMID: 31165582 PMCID: PMC6625464 DOI: 10.1002/brb3.1296] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2019] [Revised: 03/28/2019] [Accepted: 04/03/2019] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION Olfactory deficits are prevalent in early Alzheimer's disease (AD) and are predictive of progressive memory loss and dementia. However, direct neural evidence to relate AD neurodegeneration to deficits in olfaction and memory is limited. METHODS We combined the University of Pennsylvania Smell Identification Test (UPSIT) with olfactory functional magnetic resonance imaging (fMRI) to investigate links between neurodegeneration, the olfactory network (ON) and the default mode network (DMN) in AD. RESULTS Behaviorally, olfactory and memory scores showed a strong positive correlation in the study cohorts. During olfactory fMRI, the ON showed reduced task-related activation and the DMN showed reduced task-related suppression in mild cognitive impairment (MCI) and AD subjects compared to age-matched cognitively normal subjects. CONCLUSIONS The results provide in vivo evidence for selective vulnerability of ON and DMN in AD and significantly improves the viable clinical applications of olfactory testing. A network-based approach, focusing on network integrity rather than focal pathology, seems beneficial to olfactory prediction of dementia in AD.
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Affiliation(s)
- Jiaming Lu
- Department of RadiologyThe Pennsylvania State University College of MedicineHersheyPennsylvania
- Drum Tower HospitalMedical School of Nanjing UniversityNanjingChina
| | - Qing X. Yang
- Department of RadiologyThe Pennsylvania State University College of MedicineHersheyPennsylvania
- Department of NeurosurgeryThe Pennsylvania State University College of MedicineHersheyPennsylvania
| | - Han Zhang
- Department of Radiology and Biomedical Research Imaging Center (BRIC)University of North Carolina at Chapel HillChapel HillNC
| | - Paul J. Eslinger
- Department of RadiologyThe Pennsylvania State University College of MedicineHersheyPennsylvania
- Department of NeurologyThe Pennsylvania State University College of MedicineHersheyPennsylvania
| | - Xin Zhang
- Drum Tower HospitalMedical School of Nanjing UniversityNanjingChina
| | - Sichu Wu
- Drum Tower HospitalMedical School of Nanjing UniversityNanjingChina
| | - Bing Zhang
- Drum Tower HospitalMedical School of Nanjing UniversityNanjingChina
| | - Bin Zhu
- Drum Tower HospitalMedical School of Nanjing UniversityNanjingChina
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19
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Georgiopoulos C, Witt ST, Haller S, Dizdar N, Zachrisson H, Engström M, Larsson EM. Olfactory fMRI: Implications of Stimulation Length and Repetition Time. Chem Senses 2019; 43:389-398. [PMID: 29726890 DOI: 10.1093/chemse/bjy025] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Studying olfaction with functional magnetic resonance imaging (fMRI) poses various methodological challenges. This study aimed to investigate the effects of stimulation length and repetition time (TR) on the activation pattern of 4 olfactory brain regions: the anterior and the posterior piriform cortex, the orbitofrontal cortex, and the insula. Twenty-two healthy participants with normal olfaction were examined with fMRI, with 2 stimulation lengths (6 s and 15 s) and 2 TRs (0.901 s and 1.34 s). Data were analyzed using General Linear Model (GLM), Tensorial Independent Component Analysis (TICA), and by plotting the event-related time course of brain activation in the 4 olfactory regions of interest. The statistical analysis of the time courses revealed that short TR was associated with more pronounced signal increase and short stimulation was associated with shorter time to peak signal. Additionally, both long stimulation and short TR were associated with oscillatory time courses, whereas both short stimulation and short TR resulted in more typical time courses. GLM analysis showed that the combination of short stimulation and short TR could result in visually larger activation within these olfactory areas. TICA validated that the tested paradigm was spatially and temporally associated with a functionally connected network that included all 4 olfactory regions. In conclusion, the combination of short stimulation and short TR is associated with higher signal increase and shorter time to peak, making it more amenable to standard GLM-type analyses than long stimulation and long TR, and it should, thus, be preferable for olfactory fMRI.
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Affiliation(s)
- Charalampos Georgiopoulos
- Department of Radiology and Department of Medical and Health Sciences, Linköping University, Röntgenkliniken, Universitetssjukhuset, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, University Hospital, Linköping, Sweden
| | - Suzanne T Witt
- Center for Medical Image Science and Visualization (CMIV), Linköping University, University Hospital, Linköping, Sweden
| | - Sven Haller
- Affidea CDRC Centre de Diagnostic Radiologique de Carouge SA, clos de la Fonderie, Geneva, Switzerland.,Department of Surgical Sciences/Radiology, Uppsala University, Akademiska sjukhuset Uppsala, Sweden
| | - Nil Dizdar
- Department of Neurology and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Helene Zachrisson
- Department of Clinical Physiology and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Maria Engström
- Center for Medical Image Science and Visualization (CMIV), Linköping University, University Hospital, Linköping, Sweden.,Department of Medical and Health Sciences, Linköping University, Sandbäcksgatan, Linköping, Sweden
| | - Elna-Marie Larsson
- Department of Surgical Sciences/Radiology, Uppsala University, Akademiska sjukhuset Uppsala, Sweden
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20
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Lane ST, Gates KM, Pike HK, Beltz AM, Wright AG. Uncovering general, shared, and unique temporal patterns in ambulatory assessment data. Psychol Methods 2019; 24:54-69. [PMID: 30124300 PMCID: PMC6433550 DOI: 10.1037/met0000192] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Intensive longitudinal data provide psychological researchers with the potential to better understand individual-level temporal processes. While the collection of such data has become increasingly common, there are a comparatively small number of methods well-suited for analyzing these data, and many methods assume homogeneity across individuals. A recent development rooted in structural equation and vector autoregressive modeling, Subgrouping Group Iterative Multiple Model Estimation (S-GIMME), provides one method for arriving at individual-level models composed of processes shared by the sample, a subset of the sample, and a given individual. As this algorithm was motivated and validated for use with neuroimaging data, its performance is less understood in the context of ambulatory assessment data. Here, we evaluate the performance of the S-GIMME algorithm across various conditions frequently encountered with daily diary (compared to neuroimaging) data; namely, a smaller number of variables, a lower number of time points, and smaller autoregressive effects. We demonstrate, for the first time, the importance of the autoregressive effects in recovering data-generating connections and directions, and the ability to use S-GIMME with lengths of data commonly seen in daily diary studies. We demonstrate the use of S-GIMME with an empirical example evaluating the general, shared, and unique temporal processes associated with a sample of individuals with borderline personality disorder (BPD). Finally, we underscore the need for methods such as S-GIMME moving forward given the increasing use of intensive longitudinal data in psychological research, and the potential for these data to provide novel insights into human behavior and mental health. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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21
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Lu J, Wang X, Qing Z, Li Z, Zhang W, Liu Y, Yuan L, Cheng L, Li M, Zhu B, Zhang X, Yang QX, Zhang B. Detectability and reproducibility of the olfactory fMRI signal under the influence of magnetic susceptibility artifacts in the primary olfactory cortex. Neuroimage 2018; 178:613-621. [PMID: 29885483 DOI: 10.1016/j.neuroimage.2018.06.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 06/03/2018] [Accepted: 06/04/2018] [Indexed: 10/14/2022] Open
Abstract
For human olfactory functional MRI studies, the primary olfactory cortex (POC) suffers severe magnetic susceptibility artifacts, which adversely influences the detectability and reproducibility of the olfactory fMRI data and its clinical applications. The goal of this work is to assess the impacts of the image artifacts on the detectability and reproducibility of the olfactory activation in the POC. The severity of artifacts in the POC were classified into three levels using a Subjective Artifact score (SA_score). The mean temporal signal-to-noise ratio (tSNR) of the fMRI data acquired by a given MRI sequence and olfactory activation (β value) in POC were evaluated and compared to the concurrent activations in the primary visual cortex (Brodmann area 17, BA17) by an odor-visual association paradigm using ninety-nine normal human subjects. Our study revealed that the mean tSNR in POC was above the threshold for reliable detection of the functional activation signal, and, consequently, the mean olfactory activations in the POC were not significantly different from those in BA17. The reproducibility of the activation in the POC was assessed by a random half-split stimulation of a test-retest experiment. The overlap of the activation maps for all the trials (n = 1000) in the POC were not statistically different from that observed in BA17. These results show that the detectability and reproducibility of olfactory activation in the presence of susceptibility artifacts in the POC was at similar level of that in the visual cortex.
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Affiliation(s)
- Jiaming Lu
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Xin Wang
- Department of Radiology, Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China
| | - Zhao Qing
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Zhu Li
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Wen Zhang
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Ying Liu
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Lihua Yuan
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Le Cheng
- Department of Radiology, Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China
| | - Ming Li
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Bin Zhu
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Xin Zhang
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Qing X Yang
- Radiology, Center for NMR Research, Penn State University College of Medicine, Hershey, PA, 17033, USA
| | - Bing Zhang
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China.
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22
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Dammalli M, Dey G, Madugundu AK, Kumar M, Rodrigues B, Gowda H, Siddaiah BG, Mahadevan A, Shankar SK, Prasad TSK. Proteomic Analysis of the Human Olfactory Bulb. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2018; 21:440-453. [PMID: 28816642 DOI: 10.1089/omi.2017.0084] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The importance of olfaction to human health and disease is often underappreciated. Olfactory dysfunction has been reported in association with a host of common complex diseases, including neurological diseases such as Alzheimer's disease and Parkinson's disease. For health, olfaction or the sense of smell is also important for most mammals, for optimal engagement with their environment. Indeed, animals have developed sophisticated olfactory systems to detect and interpret the rich information presented to them to assist in day-to-day activities such as locating food sources, differentiating food from poisons, identifying mates, promoting reproduction, avoiding predators, and averting death. In this context, the olfactory bulb is a vital component of the olfactory system receiving sensory information from the axons of the olfactory receptor neurons located in the nasal cavity and the first place that processes the olfactory information. We report in this study original observations on the human olfactory bulb proteome in healthy subjects, using a high-resolution mass spectrometry-based proteomic approach. We identified 7750 nonredundant proteins from human olfactory bulbs. Bioinformatics analysis of these proteins showed their involvement in biological processes associated with signal transduction, metabolism, transport, and olfaction. These new observations provide a crucial baseline molecular profile of the human olfactory bulb proteome, and should assist the future discovery of biomarker proteins and novel diagnostics associated with diseases characterized by olfactory dysfunction.
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Affiliation(s)
- Manjunath Dammalli
- 1 Institute of Bioinformatics , Bangalore, India .,2 Department of Biotechnology, Siddaganga Institute of Technology , Tumakuru, India
| | - Gourav Dey
- 1 Institute of Bioinformatics , Bangalore, India .,3 Department of Biotechnology, Manipal University , Manipal, India
| | - Anil K Madugundu
- 1 Institute of Bioinformatics , Bangalore, India .,4 Centre for Bioinformatics, School of Life Sciences, Pondicherry University , Puducherry, India
| | - Manish Kumar
- 1 Institute of Bioinformatics , Bangalore, India .,3 Department of Biotechnology, Manipal University , Manipal, India
| | | | - Harsha Gowda
- 1 Institute of Bioinformatics , Bangalore, India .,5 YU-IOB Center for Systems Biology and Molecular Medicine, Yenepoya University , Mangalore, India
| | | | - Anita Mahadevan
- 6 Department of Neuropathology, National Institute of Mental Health and Neurosciences , Bangalore, India .,7 Human Brain Tissue Repository, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences , Bangalore, India
| | - Susarla Krishna Shankar
- 6 Department of Neuropathology, National Institute of Mental Health and Neurosciences , Bangalore, India .,7 Human Brain Tissue Repository, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences , Bangalore, India .,8 NIMHANS-IOB Proteomics and Bioinformatics Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences , Bangalore, India
| | - Thottethodi Subrahmanya Keshava Prasad
- 1 Institute of Bioinformatics , Bangalore, India .,5 YU-IOB Center for Systems Biology and Molecular Medicine, Yenepoya University , Mangalore, India .,8 NIMHANS-IOB Proteomics and Bioinformatics Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences , Bangalore, India
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23
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Scott GA, Zabder NK, Greba Q, Howland JG. Performance of the odour span task is not impaired following inactivations of parietal cortex in rats. Behav Brain Res 2018; 341:181-188. [DOI: 10.1016/j.bbr.2017.12.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Revised: 11/24/2017] [Accepted: 12/09/2017] [Indexed: 12/15/2022]
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24
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Reichert JL, Postma EM, Smeets PAM, Boek WM, de Graaf K, Schöpf V, Boesveldt S. Severity of olfactory deficits is reflected in functional brain networks-An fMRI study. Hum Brain Mapp 2018; 39:3166-3177. [PMID: 29602198 DOI: 10.1002/hbm.24067] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 02/02/2018] [Accepted: 03/21/2018] [Indexed: 11/10/2022] Open
Abstract
Even though deficits in olfactory function affect a considerable part of the population, the neuronal basis of olfactory deficits remains scarcely investigated. To achieve a better understanding of how smell loss affects neural activation patterns and functional networks, we set out to investigate patients with olfactory dysfunction using functional magnetic resonance imaging (fMRI) and olfactory stimulation. We used patients' scores on a standardized olfactory test as continuous measure of olfactory function. 48 patients (mean olfactory threshold discrimination identification (TDI) score = 16.33, SD = 6.4, range 6 - 28.5) were investigated. Overall, patients showed piriform cortex activation during odor stimulation compared to pure sniffing. Group independent component analysis indicated that the recruitment of three networks during odor stimulation was correlated with olfactory function: a sensory processing network (including regions such as insula, thalamus and piriform cortex), a cerebellar network and an occipital network. Interestingly, recruitment of these networks during pure sniffing was related to olfactory function as well. Our results support previous findings that sniffing alone can activate olfactory regions. Extending this, we found that the severity of olfactory deficits is related to the extent to which neural networks are recruited both during olfactory stimulation and pure sniffing. This indicates that olfactory deficits are not only reflected in changes in specific olfactory areas but also in the recruitment of occipital and cerebellar networks. These findings pave the way for future investigations on whether characteristics of these networks might be of use for the prediction of disease prognosis or of treatment success.
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Affiliation(s)
- Johanna L Reichert
- Institute of Psychology, University of Graz, Graz, Austria.,BioTechMed, Graz, Austria
| | - Elbrich M Postma
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands.,ENT Department, Hospital Gelderse Vallei, Ede, The Netherlands
| | - Paul A M Smeets
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands.,Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Wilbert M Boek
- ENT Department, Hospital Gelderse Vallei, Ede, The Netherlands
| | - Kees de Graaf
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Veronika Schöpf
- Institute of Psychology, University of Graz, Graz, Austria.,BioTechMed, Graz, Austria
| | - Sanne Boesveldt
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
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25
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Abstract
Network science is booming! While the insights and images afforded by network mapping techniques are compelling, implementing the techniques is often daunting to researchers. Thus, the aim of this tutorial is to facilitate implementation in the context of GIMME, or group iterative multiple model estimation. GIMME is an automated network analysis approach for intensive longitudinal data. It creates person-specific networks that explain how variables are related in a system. The relations can signify current or future prediction that is common across people or applicable only to an individual. The tutorial begins with conceptual and mathematical descriptions of GIMME. It proceeds with a practical discussion of analysis steps, including data acquisition, preprocessing, program operation, a posteriori testing of model assumptions, and interpretation of results; throughout, a small empirical data set is analyzed to showcase the GIMME analysis pipeline. The tutorial closes with a brief overview of extensions to GIMME that may interest researchers whose questions and data sets have certain features. By the end of the tutorial, researchers will be equipped to begin analyzing the temporal dynamics of their heterogeneous time series data with GIMME.
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Affiliation(s)
- Adriene M Beltz
- a Department of Psychology , University of Michigan , Ann Arbor , MI , USA
| | - Kathleen M Gates
- b Department of Psychology , University of North Carolina - Chapel Hill , Chapel Hill , NC , USA
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26
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Bolt T, Prince EB, Nomi JS, Messinger D, Llabre MM, Uddin LQ. Combining region- and network-level brain-behavior relationships in a structural equation model. Neuroimage 2017; 165:158-169. [PMID: 29030103 DOI: 10.1016/j.neuroimage.2017.10.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 10/03/2017] [Accepted: 10/05/2017] [Indexed: 12/12/2022] Open
Abstract
Brain-behavior associations in fMRI studies are typically restricted to a single level of analysis: either a circumscribed brain region-of-interest (ROI) or a larger network of brain regions. However, this common practice may not always account for the interdependencies among ROIs of the same network or potentially unique information at the ROI-level, respectively. To account for both sources of information, we combined measurement and structural components of structural equation modeling (SEM) approaches to empirically derive networks from ROI activity, and to assess the association of both individual ROIs and their respective whole-brain activation networks with task performance using three large task-fMRI datasets and two separate brain parcellation schemes. The results for working memory and relational tasks revealed that well-known ROI-performance associations are either non-significant or reversed when accounting for the ROI's common association with its corresponding network, and that the network as a whole is instead robustly associated with task performance. The results for the arithmetic task revealed that in certain cases, an ROI can be robustly associated with task performance, even when accounting for its associated network. The SEM framework described in this study provides researchers additional flexibility in testing brain-behavior relationships, as well as a principled way to combine ROI- and network-levels of analysis.
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Affiliation(s)
- Taylor Bolt
- Department of Psychology, University of Miami, Coral Gables, FL, USA.
| | - Emily B Prince
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Jason S Nomi
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Daniel Messinger
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Maria M Llabre
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Lucina Q Uddin
- Department of Psychology, University of Miami, Coral Gables, FL, USA; Neuroscience Program, University of Miami Miller School of Medicine, Miami, FL 33136, USA
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27
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Wang J, Sun X, Yang QX. Early Aging Effect on the Function of the Human Central Olfactory System. J Gerontol A Biol Sci Med Sci 2017; 72:1007-1014. [PMID: 27289103 DOI: 10.1093/gerona/glw104] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Accepted: 04/27/2016] [Indexed: 01/24/2023] Open
Abstract
During normal aging process, the smell function declines significantly, starting from the sixth decade of age. While it has been shown that activity in the central olfactory system of seniors responding to odor stimulation is significantly less than that of young people, no information of the aging effect on the functions of this system during normal adulthood and early aging has been gathered. In this study, we used functional magnetic resonance imaging to investigate the olfaction-related brain activity in the central olfactory structures of 43 healthy adult volunteers aged from 22 to 64 years. The participants' smell identification function was negatively correlated with age (r = -.32, p = .037). Significant negative correlation was observed between age and the olfaction-related activities in the bilateral dorsolateral prefrontal cortex, left insular cortex, and left orbitofrontal cortex (p < .001, corrected with cluster size ≥28 voxels). There was no significant correlation observed between age and the activity in the primary olfactory cortex detected in this age group. These results suggest that age-related functional decline in the human brain is more prominent in the secondary and higher-order central olfactory structures than the primary olfactory cortex in the early aging process.
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Affiliation(s)
- Jianli Wang
- Department of Radiology, Pennsylvania State University College of Medicine, Hershey
| | - Xiaoyu Sun
- Department of Radiology, Pennsylvania State University College of Medicine, Hershey
| | - Qing X Yang
- Departments of Radiology and Neurosurgery, Pennsylvania State University College of Medicine, Hershey
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28
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Reichert J, Ninaus M, Schuehly W, Hirschmann C, Bagga D, Schöpf V. Functional brain networks during picture encoding and recognition in different odor contexts. Behav Brain Res 2017. [DOI: 10.1016/j.bbr.2017.06.022] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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29
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Wang J, Rupprecht S, Sun X, Freiberg D, Crowell C, Cartisano E, Vasavada M, Yang QX. A Free-breathing fMRI Method to Study Human Olfactory Function. J Vis Exp 2017. [PMID: 28784958 DOI: 10.3791/54898] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
The study of human olfaction is a highly complex and valuable field with applications ranging from biomedical research to clinical evaluation. Currently, evaluation of the functions of the human central olfactory system with functional magnetic resonance imaging (fMRI) is still a challenge because of several technical difficulties. There are some significant variables to take into account when considering an effective method for mapping the function of the central olfactory system using fMRI, including proper odorant selection, the interaction between odor presentation and respiration, and potential anticipation of or habituation to odorants. An event-related, respiration-triggered olfactory fMRI technique can accurately administer odorants to stimulate the olfactory system while minimizing potential interference. It can effectively capture the precise onsets of fMRI signals in the primary olfactory cortex using our data post-processing method. The technique presented here provides an efficient and practical means for generating reliable olfactory fMRI results. Such a technique can ultimately be applied in the clinical realm as a diagnostic tool for diseases associated with olfactory degeneration, including Alzheimer's and Parkinson's disease, as we begin to further understand the complexities of the human olfactory system.
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Affiliation(s)
- Jianli Wang
- Center for NMR Research, Department of Radiology, Pennsylvania State University College of Medicine
| | - Sebastian Rupprecht
- Center for NMR Research, Department of Radiology, Pennsylvania State University College of Medicine
| | - Xiaoyu Sun
- Center for NMR Research, Department of Radiology, Pennsylvania State University College of Medicine
| | - Diana Freiberg
- Center for NMR Research, Department of Radiology, Pennsylvania State University College of Medicine
| | - Courtney Crowell
- Center for NMR Research, Department of Radiology, Pennsylvania State University College of Medicine
| | - Emma Cartisano
- Center for NMR Research, Department of Radiology, Pennsylvania State University College of Medicine
| | - Megha Vasavada
- Center for NMR Research, Department of Radiology, Pennsylvania State University College of Medicine
| | - Qing X Yang
- Center for NMR Research, Department of Radiology, Pennsylvania State University College of Medicine; Department of Neurosurgery, Pennsylvania State University College of Medicine;
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30
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Vasavada MM, Martinez B, Wang J, Eslinger PJ, Gill DJ, Sun X, Karunanayaka P, Yang QX. Central Olfactory Dysfunction in Alzheimer’s Disease and Mild Cognitive Impairment: A Functional MRI Study. J Alzheimers Dis 2017; 59:359-368. [DOI: 10.3233/jad-170310] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Megha M. Vasavada
- Departments of Radiology, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Brittany Martinez
- Departments of Radiology, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Jianli Wang
- Departments of Radiology, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Paul J. Eslinger
- Departments of Radiology, Pennsylvania State University College of Medicine, Hershey, PA, USA
- Departments of Neurology, Pennsylvania State University College of Medicine, Hershey, PA, USA
- Departments of Neural & Behavioral Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - David J. Gill
- Unity Rehabilitation and Neurology at Ridgeway, Rochester, NY, USA
| | - Xiaoyu Sun
- Departments of Radiology, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Prasanna Karunanayaka
- Departments of Radiology, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Qing X. Yang
- Departments of Radiology, Pennsylvania State University College of Medicine, Hershey, PA, USA
- Departments of Neurosurgery, Pennsylvania State University College of Medicine, Hershey, PA, USA
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31
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Martinez B, Karunanayaka P, Wang J, Tobia MJ, Vasavada M, Eslinger PJ, Yang QX. Different patterns of age-related central olfactory decline in men and women as quantified by olfactory fMRI. Oncotarget 2017; 8:79212-79222. [PMID: 29108300 PMCID: PMC5668033 DOI: 10.18632/oncotarget.16977] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2016] [Accepted: 03/02/2017] [Indexed: 01/11/2023] Open
Abstract
Age-related olfactory decline, or presbyosmia, is a prevalent condition with potentially devastating consequences on both quality of life and safety. Despite clear evidence for this decline, it is unknown whether presbyosmia is sex-dependent and also whether it is due to central or peripheral olfactory system deterioration. Therefore, the goals of this study were to investigate the neurofunctional substrate of olfactory decline and examine its relationship to age and sex in thirty-seven (18 women, 19 men) healthy older participants using olfactory functional MRI (fMRI). The olfactory fMRI paradigm utilized unique odor+visual and visual-only conditions to contrast peripheral-to-central and central-to-central olfactory processing, respectively. Age was negatively correlated with fMRI activation in olfactory-related regions. Significant aging effects were identifiable in male participants in all target regions. Female participants, however, showed a different pattern of functional decline. Extended unified structural equation modeling (euSEM) analysis revealed that the effective functional connectivity profile was drastically different between male and female participants, with females manifesting a top-down mechanism to offset age-related olfactory activation decline. Our results support the hypotheses that the central olfactory system is involved in age-related olfactory decline, and that resilience to age-related olfactory decline in women may be due to their profuse olfactory network effective connectivity.
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Affiliation(s)
- Brittany Martinez
- Department of Radiology, Center for NMR Research, The Pennsylvania State University College of Medicine, The Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Prasanna Karunanayaka
- Department of Radiology, Center for NMR Research, The Pennsylvania State University College of Medicine, The Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Jianli Wang
- Department of Radiology, Center for NMR Research, The Pennsylvania State University College of Medicine, The Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Michael J Tobia
- Department of Radiology, Center for NMR Research, The Pennsylvania State University College of Medicine, The Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Megha Vasavada
- Department of Radiology, Center for NMR Research, The Pennsylvania State University College of Medicine, The Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Paul J Eslinger
- Department of Radiology, Center for NMR Research, The Pennsylvania State University College of Medicine, The Milton S. Hershey Medical Center, Hershey, PA, USA.,Department of Neurology, The Pennsylvania State University College of Medicine, The Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Qing X Yang
- Department of Radiology, Center for NMR Research, The Pennsylvania State University College of Medicine, The Milton S. Hershey Medical Center, Hershey, PA, USA.,Department of Neurosurgery, The Pennsylvania State University College of Medicine, The Milton S. Hershey Medical Center, Hershey, PA, USA
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32
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Gates KM, Lane ST, Varangis E, Giovanello K, Guskiewicz K. Unsupervised Classification During Time-Series Model Building. MULTIVARIATE BEHAVIORAL RESEARCH 2017; 52:129-148. [PMID: 27925768 PMCID: PMC8549846 DOI: 10.1080/00273171.2016.1256187] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Researchers who collect multivariate time-series data across individuals must decide whether to model the dynamic processes at the individual level or at the group level. A recent innovation, group iterative multiple model estimation (GIMME), offers one solution to this dichotomy by identifying group-level time-series models in a data-driven manner while also reliably recovering individual-level patterns of dynamic effects. GIMME is unique in that it does not assume homogeneity in processes across individuals in terms of the patterns or weights of temporal effects. However, it can be difficult to make inferences from the nuances in varied individual-level patterns. The present article introduces an algorithm that arrives at subgroups of individuals that have similar dynamic models. Importantly, the researcher does not need to decide the number of subgroups. The final models contain reliable group-, subgroup-, and individual-level patterns that enable generalizable inferences, subgroups of individuals with shared model features, and individual-level patterns and estimates. We show that integrating community detection into the GIMME algorithm improves upon current standards in two important ways: (1) providing reliable classification and (2) increasing the reliability in the recovery of individual-level effects. We demonstrate this method on functional MRI from a sample of former American football players.
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Affiliation(s)
| | | | - E Varangis
- a University of North Carolina , Chapel Hill
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33
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Karunanayaka PR, Wilson DA, Tobia MJ, Martinez BE, Meadowcroft MD, Eslinger PJ, Yang QX. Default mode network deactivation during odor-visual association. Hum Brain Mapp 2016; 38:1125-1139. [PMID: 27785847 DOI: 10.1002/hbm.23440] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Revised: 10/06/2016] [Accepted: 10/09/2016] [Indexed: 02/04/2023] Open
Abstract
Default mode network (DMN) deactivation has been shown to be functionally relevant for goal-directed cognition. In this study, the DMN's role during olfactory processing was investigated using two complementary functional magnetic resonance imaging (fMRI) paradigms with identical timing, visual-cue stimulation, and response monitoring protocols. Twenty-nine healthy, non-smoking, right-handed adults (mean age = 26 ± 4 years, 16 females) completed an odor-visual association fMRI paradigm that had two alternating odor + visual and visual-only trial conditions. During odor + visual trials, a visual cue was presented simultaneously with an odor, while during visual-only trial conditions the same visual cue was presented alone. Eighteen of the twenty-nine participants (mean age = 27.0 ± 6.0 years, 11 females) also took part in a control no-odor fMRI paradigm that consisted of a visual-only trial condition which was identical to the visual-only trials in the odor-visual association paradigm. Independent Component Analysis (ICA), extended unified structural equation modeling (euSEM), and psychophysiological interaction (PPI) were used to investigate the interplay between the DMN and olfactory network. In the odor-visual association paradigm, DMN deactivation was evoked by both the odor + visual and visual-only trial conditions. In contrast, the visual-only trials in the no-odor paradigm did not evoke consistent DMN deactivation. In the odor-visual association paradigm, the euSEM and PPI analyses identified a directed connectivity between the DMN and olfactory network which was significantly different between odor + visual and visual-only trial conditions. The results support a strong interaction between the DMN and olfactory network and highlights the DMN's role in task-evoked brain activity and behavioral responses during olfactory processing. Hum Brain Mapp 38:1125-1139, 2017. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Prasanna R Karunanayaka
- Department of Radiology, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Donald A Wilson
- Emotional Brain Institute, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.,Department of Child & Adolescent Psychiatry, New York University School of Medicine, New York, New York
| | - Michael J Tobia
- Department of Radiology, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Brittany E Martinez
- Department of Radiology, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Mark D Meadowcroft
- Department of Radiology, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania.,Department of Neurosurgery, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Paul J Eslinger
- Department of Radiology, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania.,Department of Neurology, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Qing X Yang
- Department of Radiology, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania.,Department of Neurosurgery, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania
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34
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Ghio M, Schulze P, Suchan B, Bellebaum C. Neural representations of novel objects associated with olfactory experience. Behav Brain Res 2016; 308:143-51. [DOI: 10.1016/j.bbr.2016.04.013] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2015] [Revised: 04/04/2016] [Accepted: 04/09/2016] [Indexed: 11/30/2022]
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35
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Molenaar PCM, Beltz AM, Gates KM, Wilson SJ. State space modeling of time-varying contemporaneous and lagged relations in connectivity maps. Neuroimage 2015; 125:791-802. [PMID: 26546863 DOI: 10.1016/j.neuroimage.2015.10.088] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2015] [Revised: 10/27/2015] [Accepted: 10/31/2015] [Indexed: 01/07/2023] Open
Abstract
Most connectivity mapping techniques for neuroimaging data assume stationarity (i.e., network parameters are constant across time), but this assumption does not always hold true. The authors provide a description of a new approach for simultaneously detecting time-varying (or dynamic) contemporaneous and lagged relations in brain connectivity maps. Specifically, they use a novel raw data likelihood estimation technique (involving a second-order extended Kalman filter/smoother embedded in a nonlinear optimizer) to determine the variances of the random walks associated with state space model parameters and their autoregressive components. The authors illustrate their approach with simulated and blood oxygen level-dependent functional magnetic resonance imaging data from 30 daily cigarette smokers performing a verbal working memory task, focusing on seven regions of interest (ROIs). Twelve participants had dynamic directed functional connectivity maps: Eleven had one or more time-varying contemporaneous ROI state loadings, and one had a time-varying autoregressive parameter. Compared to smokers without dynamic maps, smokers with dynamic maps performed the task with greater accuracy. Thus, accurate detection of dynamic brain processes is meaningfully related to behavior in a clinical sample.
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Affiliation(s)
- Peter C M Molenaar
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA 16802, USA; Department of Psychology, The Pennsylvania State University, University Park, PA 16802, USA.
| | - Adriene M Beltz
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA 16802, USA
| | - Kathleen M Gates
- Department of Psychology, University of North Carolina, Chapel Hill, NC 27559, USA
| | - Stephen J Wilson
- Department of Psychology, The Pennsylvania State University, University Park, PA 16802, USA
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36
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Karunanayaka PR, Wilson DA, Vasavada M, Wang J, Martinez B, Tobia MJ, Kong L, Eslinger P, Yang QX. Rapidly acquired multisensory association in the olfactory cortex. Brain Behav 2015; 5:e00390. [PMID: 26664785 PMCID: PMC4667761 DOI: 10.1002/brb3.390] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Revised: 07/31/2015] [Accepted: 08/09/2015] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The formation of an odor percept in humans is strongly associated with visual information. However, much less is known about the roles of learning and memory in shaping the multisensory nature of odor representations in the brain. METHOD The dynamics of odor and visual association in olfaction was investigated using three functional magnetic resonance imaging (fMRI) paradigms. In two paradigms, a visual cue was paired with an odor. In the third, the same visual cue was never paired with an odor. In this experimental design, if the visual cue was not influenced by odor-visual pairing, then the blood-oxygen-level-dependent (BOLD) signal elicited by subsequent visual cues should be similar across all three paradigms. Additionally, intensity, a major dimension of odor perception, was used as a modulator of associative learning which was characterized in terms of the spatiotemporal behavior of the BOLD signal in olfactory structures. RESULTS A single odor-visual pairing cue could subsequently induce primary olfactory cortex activity when only the visual cue was presented. This activity was intensity dependent and was also detected in secondary olfactory structures and hippocampus. CONCLUSION This study provides evidence for a rapid learning response in the olfactory system by a visual cue following odor and visual cue pairing. The novel data and paradigms suggest new avenues to explore the dynamics of odor learning and multisensory representations that contribute to the construction of a unified odor percept in the human brain.
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Affiliation(s)
- Prasanna R Karunanayaka
- Department of Radiology (Center for NMR Research) The Pennsylvania State University College of Medicine Hershey Pennsylvania
| | - Donald A Wilson
- Emotional Brain Institute Nathan S. Kline Institute for Psychiatric Research Orangeburg New York ; Department of Child & Adolescent Psychiatry New York University School of Medicine New York City New York
| | - Megha Vasavada
- Department of Radiology (Center for NMR Research) The Pennsylvania State University College of Medicine Hershey Pennsylvania
| | - Jianli Wang
- Department of Radiology (Center for NMR Research) The Pennsylvania State University College of Medicine Hershey Pennsylvania
| | - Brittany Martinez
- Department of Radiology (Center for NMR Research) The Pennsylvania State University College of Medicine Hershey Pennsylvania
| | - Michael J Tobia
- Department of Radiology (Center for NMR Research) The Pennsylvania State University College of Medicine Hershey Pennsylvania
| | - Lan Kong
- Department of Public Health Sciences The Pennsylvania State University College of Medicine Hershey Pennsylvania
| | - Paul Eslinger
- Department of Radiology (Center for NMR Research) The Pennsylvania State University College of Medicine Hershey Pennsylvania ; Department of Neurology The Pennsylvania State University College of Medicine Hershey Pennsylvania
| | - Qing X Yang
- Department of Radiology (Center for NMR Research) The Pennsylvania State University College of Medicine Hershey Pennsylvania ; Department of Neurosurgery The Pennsylvania State University College of Medicine Hershey Pennsylvania
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37
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Human amygdala activations during nasal chemoreception. Neuropsychologia 2015; 78:171-94. [PMID: 26459095 DOI: 10.1016/j.neuropsychologia.2015.10.009] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Revised: 08/25/2015] [Accepted: 10/06/2015] [Indexed: 02/07/2023]
Abstract
This review serves as a comprehensive discussion of chemosensory stimulation of the amygdala in healthy humans. Following an introduction of the neuroanatomy of chemosensory processing in primary and secondary olfactory structures, functional resonance magnetic imaging and positron imaging tomography studies are systematically categorized based on valence of stimuli, stimulus concentration, and paradigm-dependent amygdala activation. The amygdala shows patterns of lateralization due to stimulus valence. Main findings include pleasant odors being associated with bilateral or left amygdala activation, and unpleasant odors being associated with activation of the right amygdala, suggesting a crucial role of the right amygdala in evolutionary preservation. Potentially threatening social stimuli, however, might be processed apart from the olfactory system and tend to activate the left amygdala. Amygdala response to chemosensory stimuli correlated with simultaneous activation in the orbitofrontal cortex (OFC), piriform cortex (PC), and insula, suggesting a close-knit network of these areas during stimulus processing.
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38
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Beltz AM, Molenaar PCM. A posteriori model validation for the temporal order of directed functional connectivity maps. Front Neurosci 2015; 9:304. [PMID: 26379489 PMCID: PMC4551081 DOI: 10.3389/fnins.2015.00304] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Accepted: 08/10/2015] [Indexed: 11/13/2022] Open
Abstract
A posteriori model validation for the temporal order of neural directed functional connectivity maps is rare. This is striking because models that require sequential independence among residuals are regularly implemented. The aim of the current study was (a) to apply to directed functional connectivity maps of functional magnetic resonance imaging data an a posteriori model validation procedure (i.e., white noise tests of one-step-ahead prediction errors combined with decision criteria for revising the maps based upon Lagrange Multiplier tests), and (b) to demonstrate how the procedure applies to single-subject simulated, single-subject task-related, and multi-subject resting state data. Directed functional connectivity was determined by the unified structural equation model family of approaches in order to map contemporaneous and first order lagged connections among brain regions at the group- and individual-levels while incorporating external input, then white noise tests were run. Findings revealed that the validation procedure successfully detected unmodeled sequential dependencies among residuals and recovered higher order (greater than one) simulated connections, and that the procedure can accommodate task-related input. Findings also revealed that lags greater than one were present in resting state data: With a group-level network that contained only contemporaneous and first order connections, 44% of subjects required second order, individual-level connections in order to obtain maps with white noise residuals. Results have broad methodological relevance (e.g., temporal validation is necessary after directed functional connectivity analyses because the presence of unmodeled higher order sequential dependencies may bias parameter estimates) and substantive implications (e.g., higher order lags may be common in resting state data).
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Affiliation(s)
- Adriene M Beltz
- Department of Human Development and Family Studies, The Pennsylvania State University University Park, PA, USA
| | - Peter C M Molenaar
- Department of Human Development and Family Studies, The Pennsylvania State University University Park, PA, USA
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