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Thorp JN, Gasser C, Blessing E, Davachi L. Data-Driven Clustering of Functional Signals Reveals Gradients in Processing Both within the Anterior Hippocampus and across Its Long Axis. J Neurosci 2022; 42:7431-7441. [PMID: 36002264 PMCID: PMC9525160 DOI: 10.1523/jneurosci.0269-22.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 08/09/2022] [Accepted: 08/12/2022] [Indexed: 11/21/2022] Open
Abstract
A particularly elusive puzzle concerning the hippocampus is how the structural differences along its long anteroposterior axis might beget meaningful functional differences, particularly in terms of the granularity of information processing. One measure posits to quantify this granularity by calculating the average statistical independence of the BOLD signal across neighboring voxels, or intervoxel similarity (IVS), and has shown the anterior hippocampus to process coarser-grained information than the posterior hippocampus. This measure, however, has yielded opposing results in studies of developmental and healthy aging samples, which also varied in fMRI acquisition parameters and hippocampal parcellation methods. To reconcile these findings, we measured IVS across two separate resting-state fMRI acquisitions and compared the results across many of the most widely used parcellation methods in a large young-adult sample of male and female humans (Acquisition 1, N = 233; Acquisition 2, N = 176). Finding conflicting results across acquisitions and parcellations, we reasoned that a data-driven approach to hippocampal parcellation is necessary. To this end, we implemented a group masked independent components analysis to identify functional subunits of the hippocampus, most notably separating the anterior hippocampus into separate anterior-medial, anterior-lateral, and posteroanterior-lateral components. Measuring IVS across these components revealed a decrease in IVS along the medial-lateral axis of the anterior hippocampus but an increase from anterior to posterior. We conclude that intervoxel similarity is deeply affected by parcellation and that grounding one's parcellation in a functionally informed approach might allow for a more complex and reliable characterization of the hippocampus.SIGNIFICANCE STATEMENT Processing information along hierarchical scales of granularity is critical for many of the feats of cognition considered most human. Recently, the changes in structure, cortical connectivity, and apparent functional properties across parcels of the hippocampal long axis have been hypothesized to underlie this hierarchical gradient in information processing. We show here, however, that the choice of parcellation method itself drastically affects one particular measure of granularity across the hippocampus and that a functionally informed approach to parcellation reveals gradients both within the anterior hippocampus and in nonlinear form across the long axis. These results point to the issue of parcellation as a critical one in the study of the hippocampus and reorient interpretation of existing results.
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Affiliation(s)
- John N Thorp
- Department of Psychology, Columbia University, New York, New York 10027
| | - Camille Gasser
- Department of Psychology, Columbia University, New York, New York 10027
| | - Esther Blessing
- Department of Psychiatry, New York University Langone Medical Center, New York University Grossman School of Medicine, New York, New York 10016
| | - Lila Davachi
- Department of Psychology, Columbia University, New York, New York 10027
- Nathan Kline Institute for Psychiatric Research, Orangeburg, New York 10962
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Yu T, Jia T, Zhu L, Desrivières S, Macare C, Bi Y, Bokde ALW, Quinlan EB, Heinz A, Ittermann B, Liu C, Ji L, Banaschewski T, Ren D, Du L, Hou B, Flor H, Frouin V, Garavan H, Gowland P, Martinot JL, Paillère Martinot ML, Nees F, Orfanos DP, Luo Q, Chu C, Paus T, Poustka L, Hohmann S, Millenet S, Smolka MN, Vetter NC, Mennigen E, Lei C, Walter H, Fröhner JH, Whelan R, He G, He L, Schumann G, Robert G, Artiges E, Schneider S, Bach C, Paus T, Barbot A, Barker G, Bokde A, Vetter N, Büchel C, Cattrell A, Constant P, Gowland P, Crombag H, Czech K, Dalley J, Decideur B, Spranger T, Ripley T, Heym N, Flor H, Sommer W, Fuchs B, Gallinat J, Garavan H, Spanagel R, Kaviani M, Heinrichs B, Heinz A, Subramaniam N, Jia T, Ihlenfeld A, Delosis JI, Ittermann B, Conrod P, Banaschewski T, Jones J, Klaassen A, Lalanne C, Lanzerath D, Lawrence C, Lemaitre H, Desrivieres S, Mallik C, Mann K, Mar A, Martinez-Medina L, Martinot JL, Mennigen E, de Carvahlo FM, Schwartz Y, Bruehl R, Müller K, Nees F, Nymberg C, Lathrop M, Robbins T, Pausova Z, Pentilla J, Biondo F, Poline JB, Hohmann S, Poustka L, Millenet S, Smolka M, Fröhner J, Struve M, Williams S, Hübner T, Bromberg U, Aydin S, Rogers J, Romanowski A, Schmäl C, Schmidt D, Ripke S, Arroyo M, Schubert F, Pena-Oliver Y, Fauth-Bühler M, Mignon X, Whelan R, Speiser C, Fadai T, Stephens D, Ströhle A, Paillere ML, Strache N, Theobald D, Jurk S, Vulser H, Miranda R, Yacubilin J, Frouin V, Genauck A, Parchetka C, Gemmeke I, Kruschwitz J, WeiB K, Walter H, Feng J, Papadopoulos D, Filippi I, Ing A, Ruggeri B, Xu B, Macare C, Chu C, Hanratty E, Quinlan EB, Robert G, Schumann G, Yu T, Ziesch V, Stedman A. Cannabis-Associated Psychotic-like Experiences Are Mediated by Developmental Changes in the Parahippocampal Gyrus. J Am Acad Child Adolesc Psychiatry 2020; 59:642-649. [PMID: 31326579 DOI: 10.1016/j.jaac.2019.05.034] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 05/15/2019] [Accepted: 07/15/2019] [Indexed: 01/06/2023]
Abstract
OBJECTIVE Cannabis consumption during adolescence has been reported as a risk factor for psychotic-like experiences (PLEs) and schizophrenia. However, brain developmental processes associated with cannabis-related PLEs are still poorly described. METHOD A total of 706 adolescents from the general population who were recruited by the IMAGEN consortium had structural magnetic resonance imaging scans at both 14 and 19 years of age. We used deformation-based morphometry to map voxelwise brain changes between the two time points, using the pairwise algorithm in SPM12b. We used an a priori region-of-interest approach focusing on the hippocampus/parahippocampus to perform voxelwise linear regressions. Lifetime cannabis consumption was assessed using the European School Survey Project on Alcohol and other Drugs (ESPAD), and PLEs were assessed with the Comprehensive Assessment Psychotic-like experiences (CAPE) tool. We first tested whether hippocampus/parahippocampus development was associated with PLEs. Then we formulated and tested an a priori simple mediation model in which uncus development mediates the association between lifetime cannabis consumption and PLEs. RESULTS We found that PLEs were associated with reduced expansion within a specific region of the right hippocampus/parahippocampus formation, the uncus (p = .002 at the cluster level, p = .018 at the peak level). The partial simple mediation model revealed a significant total effect from lifetime cannabis consumption to PLEs (b = 0.069, 95% CI = 0.04-0.1, p =2 × 10-16), as well as a small yet significant, indirect effect of right uncus development (0.004; 95% CI = 0.0004-0.01, p = .026). CONCLUSION We show here that the uncus development is involved in the cerebral basis of PLEs in a population-based sample of healthy adolescents.
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Affiliation(s)
- Tao Yu
- Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; Shanghai Center for Women and Children's Health, China; Jining Medical University, Shandong, China
| | - Tianye Jia
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; Institute of Science and Technology for Brain-Inspired Intelligence, MoE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Liping Zhu
- Shanghai Center for Women and Children's Health, China
| | - Sylvane Desrivières
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Christine Macare
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Yan Bi
- Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, College Green, Dublin, Ireland
| | - Erin Burke Quinlan
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Andreas Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Charité Mitte, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Berlin, Germany
| | | | - Lei Ji
- Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
| | - Tobias Banaschewski
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Decheng Ren
- Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
| | - Li Du
- Shanghai Center for Women and Children's Health, China
| | - Binyin Hou
- Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
| | - Herta Flor
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; School of Social Sciences, University of Mannheim, Germany
| | - Vincent Frouin
- NeuroSpin, Commissariat à l'Energie Atomique, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | | | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale (INSERM), University Paris Sud, Orsay, France
| | | | - Frauke Nees
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Qiang Luo
- Institute of Science and Technology for Brain-Inspired Intelligence, MoE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Congying Chu
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Tomas Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital and the University of Toronto, Ontario, Canada
| | - Luise Poustka
- University Medical Centre Göttingen, Göttingen, Germany
| | - Sarah Hohmann
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sabina Millenet
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | | | | | - Cai Lei
- Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
| | - Henrik Walter
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Charité Mitte, Berlin, Germany
| | | | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
| | - Guang He
- Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
| | - Lin He
- Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; Shanghai Center for Women and Children's Health, China; Baoan Maternal and Child Health Hospital, Jinan University, Shenzhen, China. IMAGEN consortium authors, affiliations, and acknowledgement are listed in the supplementary materials
| | - Gunter Schumann
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Gabriel Robert
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; Behavior and Basal Ganglia Unit, Medical University of Rennes, France.
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