Search

Your search keyword '"Chakravarty M"' showing total 1,698 results
Start Over Author "Chakravarty M"
1,698 results on '"Chakravarty M"'

2. Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis.

Author

Wannan, Cassandra, Nelson, Barnaby, Addington, Jean, Allott, Kelly, Anticevic, Alan, Arango, Celso, Baker, Justin, McGorry, Patrick, Mittal, Vijay, Nordentoft, Merete, Nunez, Angela, Pasternak, Ofer, Pearlson, Godfrey, Perez, Jesus, Perkins, Diana, Powers, Albert, Roalf, David, Sabb, Fred, Schiffman, Jason, Shah, Jai, Smesny, Stefan, Spark, Jessica, Stone, William, Strauss, Gregory, Tamayo, Zailyn, Torous, John, Upthegrove, Rachel, Vangel, Mark, Verma, Swapna, Wang, Jijun, Rossum, Inge, Wolf, Daniel, Wolff, Phillip, Wood, Stephen, Yung, Alison, Agurto, Carla, Alvarez-Jimenez, Mario, Amminger, Paul, Armando, Marco, Asgari-Targhi, Ameneh, Cahill, John, Carrión, Ricardo, Castro, Eduardo, Cetin-Karayumak, Suheyla, Mallar Chakravarty, M, Cho, Youngsun, Cotter, David, DAlfonso, Simon, Ennis, Michaela, Fadnavis, Shreyas, Fonteneau, Clara, Gao, Caroline, Gupta, Tina, Gur, Raquel, Gur, Ruben, Hamilton, Holly, Hoftman, Gil, Jacobs, Grace, Jarcho, Johanna, Ji, Jie, Kohler, Christian, Lalousis, Paris, Lavoie, Suzie, Lepage, Martin, Liebenthal, Einat, Mervis, Josh, Murty, Vishnu, Nicholas, Spero, Ning, Lipeng, Penzel, Nora, Poldrack, Russell, Polosecki, Pablo, Pratt, Danielle, Rabin, Rachel, Rahimi Eichi, Habiballah, Rathi, Yogesh, Reichenberg, Avraham, Reinen, Jenna, Rogers, Jack, Ruiz-Yu, Bernalyn, Scott, Isabelle, Seitz-Holland, Johanna, Srihari, Vinod, Srivastava, Agrima, Thompson, Andrew, Turetsky, Bruce, Walsh, Barbara, Whitford, Thomas, Wigman, Johanna, Yao, Beier, Yuen, Hok, Ahmed, Uzair, Byun, Andrew, Chung, Yoonho, Do, Kim, Hendricks, Larry, Huynh, Kevin, Jeffries, Clark, Lane, Erlend, and Langholm, Carsten

Subjects
clinical high risk, consortium, early detection, prediction, prevention, psychosis, Humans, Psychotic Disorders, Schizophrenia, Prospective Studies, Adult, Prodromal Symptoms, Young Adult, International Cooperation, Adolescent, Research Design, Male, Female
Abstract

This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community. In an expected sample of approximately 2000 CHR individuals and 640 matched healthy controls, AMP SCZ will collect clinical, environmental, and cognitive data along with multimodal biomarkers, including neuroimaging, electrophysiology, fluid biospecimens, speech and facial expression samples, novel measures derived from digital health technologies including smartphone-based daily surveys, and passive sensing as well as actigraphy. The study will investigate a range of clinical outcomes over a 2-year period, including transition to psychosis, remission or persistence of CHR status, attenuated positive symptoms, persistent negative symptoms, mood and anxiety symptoms, and psychosocial functioning. The global reach of AMP SCZ and its harmonized innovative methods promise to catalyze the development of new treatments to address critical unmet clinical and public health needs in CHR individuals.

Published
2024

3. Effects of diazepam on hippocampal blood flow in people at clinical high risk for psychosis

Author

Livingston, Nicholas R., Kiemes, Amanda, Devenyi, Gabriel A., Knight, Samuel, Lukow, Paulina B., Jelen, Luke A., Reilly, Thomas, Dima, Aikaterini, Nettis, Maria Antonietta, Casetta, Cecilia, Agyekum, Tyler, Zelaya, Fernando, Spencer, Thomas, De Micheli, Andrea, Fusar-Poli, Paolo, Grace, Anthony A., Williams, Steve C. R., McGuire, Philip, Egerton, Alice, Chakravarty, M. Mallar, and Modinos, Gemma

Published
2024
Full Text
View/download PDF

10. WarpDrive: Improving spatial normalization using manual refinements

Author

Oxenford, Simón, Ríos, Ana Sofía, Hollunder, Barbara, Neudorfer, Clemens, Boutet, Alexandre, Elias, Gavin J.B., Germann, Jurgen, Loh, Aaron, Deeb, Wissam, Salvato, Bryan, Almeida, Leonardo, Foote, Kelly D., Amaral, Robert, Rosenberg, Paul B., Tang-Wai, David F., Wolk, David A., Burke, Anna D., Sabbagh, Marwan N., Salloway, Stephen, Chakravarty, M. Mallar, Smith, Gwenn S., Lyketsos, Constantine G., Okun, Michael S., Anderson, William S., Mari, Zoltan, Ponce, Francisco A., Lozano, Andres, Neumann, Wolf-Julian, Al-Fatly, Bassam, and Horn, Andreas

Published
2024
Full Text
View/download PDF

11. A consensus protocol for functional connectivity analysis in the rat brain

Author

Grandjean, Joanes, Desrosiers-Gregoire, Gabriel, Anckaerts, Cynthia, Angeles-Valdez, Diego, Ayad, Fadi, Barrière, David A., Blockx, Ines, Bortel, Aleksandra, Broadwater, Margaret, Cardoso, Beatriz M., Célestine, Marina, Chavez-Negrete, Jorge E., Choi, Sangcheon, Christiaen, Emma, Clavijo, Perrin, Colon-Perez, Luis, Cramer, Samuel, Daniele, Tolomeo, Dempsey, Elaine, Diao, Yujian, Doelemeyer, Arno, Dopfel, David, Dvořáková, Lenka, Falfán-Melgoza, Claudia, Fernandes, Francisca F., Fowler, Caitlin F., Fuentes-Ibañez, Antonio, Garin, Clément M., Gelderman, Eveline, Golden, Carla E. M., Guo, Chao C. G., Henckens, Marloes J. A. G., Hennessy, Lauren A., Herman, Peter, Hofwijks, Nita, Horien, Corey, Ionescu, Tudor M., Jones, Jolyon, Kaesser, Johannes, Kim, Eugene, Lambers, Henriette, Lazari, Alberto, Lee, Sung-Ho, Lillywhite, Amanda, Liu, Yikang, Liu, Yanyan Y., López -Castro, Alejandra, López-Gil, Xavier, Ma, Zilu, MacNicol, Eilidh, Madularu, Dan, Mandino, Francesca, Marciano, Sabina, McAuslan, Matthew J., McCunn, Patrick, McIntosh, Alison, Meng, Xianzong, Meyer-Baese, Lisa, Missault, Stephan, Moro, Federico, Naessens, Daphne M. P., Nava-Gomez, Laura J., Nonaka, Hiroi, Ortiz, Juan J., Paasonen, Jaakko, Peeters, Lore M., Pereira, Mickaël, Perez, Pablo D., Pompilus, Marjory, Prior, Malcolm, Rakhmatullin, Rustam, Reimann, Henning M., Reinwald, Jonathan, Del Rio, Rodrigo Triana, Rivera-Olvera, Alejandro, Ruiz-Pérez, Daniel, Russo, Gabriele, Rutten, Tobias J., Ryoke, Rie, Sack, Markus, Salvan, Piergiorgio, Sanganahalli, Basavaraju G., Schroeter, Aileen, Seewoo, Bhedita J., Selingue, Erwan, Seuwen, Aline, Shi, Bowen, Sirmpilatze, Nikoloz, Smith, Joanna A. B., Smith, Corrie, Sobczak, Filip, Stenroos, Petteri J., Straathof, Milou, Strobelt, Sandra, Sumiyoshi, Akira, Takahashi, Kengo, Torres-García, Maria E., Tudela, Raul, van den Berg, Monica, van der Marel, Kajo, van Hout, Aran T. B., Vertullo, Roberta, Vidal, Benjamin, Vrooman, Roël M., Wang, Victora X., Wank, Isabel, Watson, David J. G., Yin, Ting, Zhang, Yongzhi, Zurbruegg, Stefan, Achard, Sophie, Alcauter, Sarael, Auer, Dorothee P., Barbier, Emmanuel L., Baudewig, Jürgen, Beckmann, Christian F., Beckmann, Nicolau, Becq, Guillaume J. P. C., Blezer, Erwin L. A., Bolbos, Radu, Boretius, Susann, Bouvard, Sandrine, Budinger, Eike, Buxbaum, Joseph D., Cash, Diana, Chapman, Victoria, Chuang, Kai-Hsiang, Ciobanu, Luisa, Coolen, Bram F., Dalley, Jeffrey W., Dhenain, Marc, Dijkhuizen, Rick M., Esteban, Oscar, Faber, Cornelius, Febo, Marcelo, Feindel, Kirk W., Forloni, Gianluigi, Fouquet, Jérémie, Garza-Villarreal, Eduardo A., Gass, Natalia, Glennon, Jeffrey C., Gozzi, Alessandro, Gröhn, Olli, Harkin, Andrew, Heerschap, Arend, Helluy, Xavier, Herfert, Kristina, Heuser, Arnd, Homberg, Judith R., Houwing, Danielle J., Hyder, Fahmeed, Ielacqua, Giovanna Diletta, Jelescu, Ileana O., Johansen-Berg, Heidi, Kaneko, Gen, Kawashima, Ryuta, Keilholz, Shella D., Keliris, Georgios A., Kelly, Clare, Kerskens, Christian, Khokhar, Jibran Y., Kind, Peter C., Langlois, Jean-Baptiste, Lerch, Jason P., López-Hidalgo, Monica A., Manahan-Vaughan, Denise, Marchand, Fabien, Mars, Rogier B., Marsella, Gerardo, Micotti, Edoardo, Muñoz-Moreno, Emma, Near, Jamie, Niendorf, Thoralf, Otte, Willem M., Pais-Roldán, Patricia, Pan, Wen-Ju, Prado-Alcalá, Roberto A., Quirarte, Gina L., Rodger, Jennifer, Rosenow, Tim, Sampaio-Baptista, Cassandra, Sartorius, Alexander, Sawiak, Stephen J., Scheenen, Tom W. J., Shemesh, Noam, Shih, Yen-Yu Ian, Shmuel, Amir, Soria, Guadalupe, Stoop, Ron, Thompson, Garth J., Till, Sally M., Todd, Nick, Van Der Linden, Annemie, van der Toorn, Annette, van Tilborg, Geralda A. F., Vanhove, Christian, Veltien, Andor, Verhoye, Marleen, Wachsmuth, Lydia, Weber-Fahr, Wolfgang, Wenk, Patricia, Yu, Xin, Zerbi, Valerio, Zhang, Nanyin, Zhang, Baogui B., Zimmer, Luc, Devenyi, Gabriel A., Chakravarty, M. Mallar, and Hess, Andreas

Published
2023
Full Text
View/download PDF

12. In response.

Author

Chakravarty M, Jawali V, and Patil T

Subjects
Anesthesiology, RD78.3-87.3, Diseases of the circulatory (Cardiovascular) system, RC666-701
Published
2003

13. Progress update from the hippocampal subfields group

Author

Olsen, Rosanna K, Carr, Valerie A, Daugherty, Ana M, La Joie, Renaud, Amaral, Robert SC, Amunts, Katrin, Augustinack, Jean C, Bakker, Arnold, Bender, Andrew R, Berron, David, Boccardi, Marina, Bocchetta, Martina, Burggren, Alison C, Chakravarty, M Mallar, Chételat, Gaël, de Flores, Robin, DeKraker, Jordan, Ding, Song‐Lin, Geerlings, Mirjam I, Huang, Yushan, Insausti, Ricardo, Johnson, Elliott G, Kanel, Prabesh, Kedo, Olga, Kennedy, Kristen M, Keresztes, Attila, Lee, Joshua K, Lindenberger, Ulman, Mueller, Susanne G, Mulligan, Elizabeth M, Ofen, Noa, Palombo, Daniela J, Pasquini, Lorenzo, Pluta, John, Raz, Naftali, Rodrigue, Karen M, Schlichting, Margaret L, Shing, Yee Lee, Stark, Craig EL, Steve, Trevor A, Suthana, Nanthia A, Wang, Lei, Werkle‐Bergner, Markus, Yushkevich, Paul A, Yu, Qijing, Wisse, Laura EM, and Group, Hippocampal Subfields

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Hippocampus, Volumetry, Human, Neuroimaging, Structural imaging, Neuroanatomy, Histology, Cytoarchitecture, ex vivo, Hippocampal Subfields Group, ex vivo, Genetics, Biological psychology
Abstract

IntroductionHeterogeneity of segmentation protocols for medial temporal lobe regions and hippocampal subfields on in vivo magnetic resonance imaging hinders the ability to integrate findings across studies. We aim to develop a harmonized protocol based on expert consensus and histological evidence.MethodsOur international working group, funded by the EU Joint Programme-Neurodegenerative Disease Research (JPND), is working toward the production of a reliable, validated, harmonized protocol for segmentation of medial temporal lobe regions. The working group uses a novel postmortem data set and online consensus procedures to ensure validity and facilitate adoption.ResultsThis progress report describes the initial results and milestones that we have achieved to date, including the development of a draft protocol and results from the initial reliability tests and consensus procedures.DiscussionA harmonized protocol will enable the standardization of segmentation methods across laboratories interested in medial temporal lobe research worldwide.

Published
2019

18. Stress-inducible phosphoprotein 1 (HOP/STI1/STIP1) regulates the accumulation and toxicity of α-synuclein in vivo

Author

Lackie, Rachel E., de Miranda, Aline S., Lim, Mei Peng, Novikov, Vladislav, Madrer, Nimrod, Karunatilleke, Nadun C., Rutledge, Benjamin S., Tullo, Stephanie, Brickenden, Anne, Maitland, Matthew E. R., Greenberg, David, Gallino, Daniel, Luo, Wen, Attaran, Anoosha, Shlaifer, Irina, Del Cid Pellitero, Esther, Schild-Poulter, Caroline, Durcan, Thomas M., Fon, Edward A., Duennwald, Martin, Beraldo, Flavio H., Chakravarty, M. Mallar, Bussey, Timothy J., Saksida, Lisa M., Soreq, Hermona, Choy, Wing-Yiu, Prado, Vania F., and Prado, Marco A. M.

Published
2022
Full Text
View/download PDF

22. White matter injury in term neonates with congenital heart diseases: Topology & comparison with preterm newborns

Author

Guo, Ting, Chau, Vann, Peyvandi, Shabnam, Latal, Beatrice, McQuillen, Patrick S, Knirsch, Walter, Synnes, Anne, Feldmann, Maria, Naef, Nadja, Chakravarty, M Mallar, De Petrillo, Alessandra, Duerden, Emma G, Barkovich, A James, and Miller, Steven P

Subjects
Paediatrics, Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Rare Diseases, Preterm, Low Birth Weight and Health of the Newborn, Perinatal Period - Conditions Originating in Perinatal Period, Cardiovascular, Heart Disease, Pediatric, Congenital Structural Anomalies, Congenital Heart Disease, Biomedical Imaging, Reproductive health and childbirth, Brain, Brain Injuries, Female, Heart Defects, Congenital, Humans, Infant, Newborn, Infant, Premature, Magnetic Resonance Imaging, Male, White Matter, Congenital heart disease, White matter injury, Topology, Probabilistic WMI map, Term CHD neonates, Preterm neonates, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundNeonates with congenital heart disease (CHD) are at high risk of punctate white matter injury (WMI) and impaired brain development. We hypothesized that WMI in CHD neonates occurs in a characteristic distribution that shares topology with preterm WMI and that lower birth gestational age (GA) is associated with larger WMI volume.Objective(1) To quantitatively assess the volume and location of WMI in CHD neonates across three centres. (2) To compare the volume and spatial distribution of WMI between term CHD neonates and preterm neonates using lesion mapping.MethodsIn 216 term born CHD neonates from three prospective cohorts (mean birth GA: 39 weeks), WMI was identified in 86 neonates (UBC: 29; UCSF: 43; UCZ: 14) on pre- and/or post-operative T1 weighted MRI. WMI was manually segmented and volumes were calculated. A standard brain template was generated. Probabilistic WMI maps (total, pre- and post-operative) were developed in this common space. Using these maps, WMI in the term CHD neonates was compared with that in preterm neonates: 58 at early-in-life (mean postmenstrual age at scan 32.2 weeks); 41 at term-equivalent age (mean postmenstrual age at scan 40.1 weeks).ResultsThe total WMI volumes of CHD neonates across centres did not differ (p = 0.068): UBC (median = 84.6 mm3, IQR = 26-174.7 mm3); UCSF (median = 104 mm3, IQR = 44-243 mm3); UCZ (median = 121 mm3, IQR = 68-200.8 mm3). The spatial distribution of WMI in CHD neonates showed strong concordance across centres with predilection for anterior and posterior rather than central lesions. Predominance of anterior lesions was apparent on the post-operative WMI map relative to the pre-operative map. Lower GA at birth predicted an increasing volume of WMI across the full cohort (41.1 mm3 increase of WMI per week decrease in gestational age; 95% CI 11.5-70.8; p = 0.007), when accounting for centre and heart lesion. While WMI in term CHD and preterm neonates occurs most commonly in the intermediate zone/outer subventricular zone there is a paucity of central lesions in the CHD neonates relative to preterms.ConclusionsWMI in term neonates with CHD occurs in a characteristic topology. The spatial distribution of WMI in term neonates with CHD reflects the expected maturation of pre-oligodendrocytes such that the central regions are less vulnerable than in the preterm neonates.

Published
2019

24. Brain charts for the human lifespan

Author

Bethlehem, R. A. I., Seidlitz, J., White, S. R., Vogel, J. W., Anderson, K. M., Adamson, C., Adler, S., Alexopoulos, G. S., Anagnostou, E., Areces-Gonzalez, A., Astle, D. E., Auyeung, B., Ayub, M., Bae, J., Ball, G., Baron-Cohen, S., Beare, R., Bedford, S. A., Benegal, V., Beyer, F., Blangero, J., Blesa Cábez, M., Boardman, J. P., Borzage, M., Bosch-Bayard, J. F., Bourke, N., Calhoun, V. D., Chakravarty, M. M., Chen, C., Chertavian, C., Chetelat, G., Chong, Y. S., Cole, J. H., Corvin, A., Costantino, M., Courchesne, E., Crivello, F., Cropley, V. L., Crosbie, J., Crossley, N., Delarue, M., Delorme, R., Desrivieres, S., Devenyi, G. A., Di Biase, M. A., Dolan, R., Donald, K. A., Donohoe, G., Dunlop, K., Edwards, A. D., Elison, J. T., Ellis, C. T., Elman, J. A., Eyler, L., Fair, D. A., Feczko, E., Fletcher, P. C., Fonagy, P., Franz, C. E., Galan-Garcia, L., Gholipour, A., Giedd, J., Gilmore, J. H., Glahn, D. C., Goodyer, I. M., Grant, P. E., Groenewold, N. A., Gunning, F. M., Gur, R. E., Gur, R. C., Hammill, C. F., Hansson, O., Hedden, T., Heinz, A., Henson, R. N., Heuer, K., Hoare, J., Holla, B., Holmes, A. J., Holt, R., Huang, H., Im, K., Ipser, J., Jack, Jr, C. R., Jackowski, A. P., Jia, T., Johnson, K. A., Jones, P. B., Jones, D. T., Kahn, R. S., Karlsson, H., Karlsson, L., Kawashima, R., Kelley, E. A., Kern, S., Kim, K. W., Kitzbichler, M. G., Kremen, W. S., Lalonde, F., Landeau, B., Lee, S., Lerch, J., Lewis, J. D., Li, J., Liao, W., Liston, C., Lombardo, M. V., Lv, J., Lynch, C., Mallard, T. T., Marcelis, M., Markello, R. D., Mathias, S. R., Mazoyer, B., McGuire, P., Meaney, M. J., Mechelli, A., Medic, N., Misic, B., Morgan, S. E., Mothersill, D., Nigg, J., Ong, M. Q. W., Ortinau, C., Ossenkoppele, R., Ouyang, M., Palaniyappan, L., Paly, L., Pan, P. M., Pantelis, C., Park, M. M., Paus, T., Pausova, Z., Paz-Linares, D., Pichet Binette, A., Pierce, K., Qian, X., Qiu, J., Qiu, A., Raznahan, A., Rittman, T., Rodrigue, A., Rollins, C. K., Romero-Garcia, R., Ronan, L., Rosenberg, M. D., Rowitch, D. H., Salum, G. A., Satterthwaite, T. D., Schaare, H. L., Schachar, R. J., Schultz, A. P., Schumann, G., Schöll, M., Sharp, D., Shinohara, R. T., Skoog, I., Smyser, C. D., Sperling, R. A., Stein, D. J., Stolicyn, A., Suckling, J., Sullivan, G., Taki, Y., Thyreau, B., Toro, R., Traut, N., Tsvetanov, K. A., Turk-Browne, N. B., Tuulari, J. J., Tzourio, C., Vachon-Presseau, É., Valdes-Sosa, M. J., Valdes-Sosa, P. A., Valk, S. L., van Amelsvoort, T., Vandekar, S. N., Vasung, L., Victoria, L. W., Villeneuve, S., Villringer, A., Vértes, P. E., Wagstyl, K., Wang, Y. S., Warfield, S. K., Warrier, V., Westman, E., Westwater, M. L., Whalley, H. C., Witte, A. V., Yang, N., Yeo, B., Yun, H., Zalesky, A., Zar, H. J., Zettergren, A., Zhou, J. H., Ziauddeen, H., Zugman, A., Zuo, X. N., Bullmore, E. T., and Alexander-Bloch, A. F.

Published
2022
Full Text
View/download PDF

27. In Vivo 7-Tesla MRI Investigation of Brain Iron and Its Metabolic Correlates in Chronic Schizophrenia

Author

Ravanfar, Parsa, Syeda, Warda T., Jayaram, Mahesh, Rushmore, R. Jarrett, Moffat, Bradford, Lin, Alexander P., Lyall, Amanda E., Merritt, Antonia H., Yaghmaie, Negin, Laskaris, Liliana, Luza, Sandra, Opazo, Carlos M., Liberg, Benny, Chakravarty, M. Mallar, Devenyi, Gabriel A., Desmond, Patricia, Cropley, Vanessa L., Makris, Nikos, Shenton, Martha E., Bush, Ashley I., Velakoulis, Dennis, and Pantelis, Christos

Published
2022
Full Text
View/download PDF

28. Optimal deep brain stimulation sites and networks for stimulation of the fornix in Alzheimer’s disease

Author

Ríos, Ana Sofía, Oxenford, Simón, Neudorfer, Clemens, Butenko, Konstantin, Li, Ningfei, Rajamani, Nanditha, Boutet, Alexandre, Elias, Gavin J. B., Germann, Jurgen, Loh, Aaron, Deeb, Wissam, Wang, Fuyixue, Setsompop, Kawin, Salvato, Bryan, Almeida, Leonardo Brito de, Foote, Kelly D., Amaral, Robert, Rosenberg, Paul B., Tang-Wai, David F., Wolk, David A., Burke, Anna D., Salloway, Stephen, Sabbagh, Marwan N., Chakravarty, M. Mallar, Smith, Gwenn S., Lyketsos, Constantine G., Okun, Michael S., Anderson, William S., Mari, Zoltan, Ponce, Francisco A., Lozano, Andres M., and Horn, Andreas

Published
2022
Full Text
View/download PDF

29. Thalamic and striato-pallidal volumes in schizophrenia patients and individuals at risk for psychosis: A multi-atlas segmentation study

Author

Takahashi, Tsutomu, Tsugawa, Sakiko, Nakajima, Shinichiro, Plitman, Eric, Chakravarty, M. Mallar, Masuda, Fumi, Wada, Masataka, Kurose, Shin, Ochi, Ryo, Matsushita, Karin, Sasabayashi, Daiki, Nakamura, Mihoko, Nishikawa, Yumiko, Takayanagi, Yoichiro, Nishiyama, Shimako, Higuchi, Yuko, Mizukami, Yuko, Furuichi, Atsushi, Kido, Mikio, Hashimoto, Ryota, Noguchi, Kyo, Fujii, Shinya, Mimura, Masaru, Noda, Yoshihiro, and Suzuki, Michio

Published
2022
Full Text
View/download PDF

31. Investigating structural subdivisions of the anterior cingulate cortex in schizophrenia, with implications for treatment resistance and glutamatergic levels

Author

Ochi, Ryo, Plitman, Eric, Patel, Raihaan, Tarumi, Ryosuke, Iwata, Yusuke, Tsugawa, Sakiko, Kim, Julia, Honda, Shiori, Noda, Yoshihiro, Uchida, Hiroyuki, Devenyi, Gabriel A., Mimura, Masaru, Graff-Guerrero, Ariel, Chakravarty, M. Mallar, and Nakajima, Shinichiro

Subjects
Anterior cingulate cortex -- Structure -- Health aspects, Schizophrenia -- Physiological aspects -- Care and treatment, Glutamate -- Physiological aspects, Health, Psychology and mental health
Abstract

Background: Abnormalities in the anterior cingulate cortex (ACC) are thought to play an important role in the pathophysiology of schizophrenia. Given regional variations in ACC structure, the present study aimed to examine ACC structural subdivisions and their relationships to treatment resistance and glutamatergic levels in schizophrenia. Methods: This study included 100 patients with schizophrenia and 52 healthy controls from 2 cohorts. We applied non-negative matrix factorization to identify accurate and stable spatial components of ACC structure. Between groups, we compared ACC structural indices in each spatial component based on treatment resistance or response and tested relationships with ACC glutamate + glutamine levels. Results: We detected reductions in cortical thickness and increases in mean diffusivity in the spatial components on the surface of the cingulate sulcus, especially in patients with treatment-resistant and clozapine-resistant schizophrenia. Notably, mean diffusivity in these components was higher in patients who did not respond to clozapine compared to those who did. Furthermore, these ACC structural alterations were related to elevated ACC glutamate + glutamine levels but not related to symptomatology or antipsychotic dose. Limitations: Sample sizes, cross-sectional findings and mixed antipsychotic status were limitations of this study. Conclusion: This study identified reproducible abnormalities in ACC structures in patients with treatment-resistant and clozapine-resistant schizophrenia. Given that these spatial components play a role in inhibitory control, the present study strengthens the notion that glutamate- related disinhibition is a common biological feature of treatment resistance in schizophrenia., Introduction Current antipsychotics fail to alleviate clinical symptoms in approximately one-third of patients with schizophrenia. (1) This subtype is termed treatment-resistant schizophrenia, which is formally defined as having an inadequate [...]

Published
2022
Full Text
View/download PDF

36. Normative brain size variation and brain shape diversity in humans

Author

Reardon, PK, Seidlitz, Jakob, Vandekar, Simon, Liu, Siyuan, Patel, Raihaan, Park, Min Tae M, Alexander-Bloch, Aaron, Clasen, Liv S, Blumenthal, Jonathan D, Lalonde, Francois M, Giedd, Jay N, Gur, Ruben C, Gur, Raquel E, Lerch, Jason P, Chakravarty, M Mallar, Satterthwaite, Theodore D, Shinohara, Russell T, and Raznahan, Armin

Subjects
Biological Psychology, History, Heritage and Archaeology, Human Society, Archaeology, Anthropology, Psychology, Pediatric, Neurosciences, 1.1 Normal biological development and functioning, Underpinning research, Neurological, Biological Evolution, Brain, Humans, Neuroimaging, Organ Size, General Science & Technology
Abstract

Brain size variation over primate evolution and human development is associated with shifts in the proportions of different brain regions. Individual brain size can vary almost twofold among typically developing humans, but the consequences of this for brain organization remain poorly understood. Using in vivo neuroimaging data from more than 3000 individuals, we find that larger human brains show greater areal expansion in distributed frontoparietal cortical networks and related subcortical regions than in limbic, sensory, and motor systems. This areal redistribution recapitulates cortical remodeling across evolution, manifests by early childhood in humans, and is linked to multiple markers of heightened metabolic cost and neuronal connectivity. Thus, human brain shape is systematically coupled to naturally occurring variations in brain size through a scaling map that integrates spatiotemporally diverse aspects of neurobiology.

Published
2018

37. Corrigendum to “Hippocampus and amygdala volumes from magnetic resonance images in children: Assessing accuracy of FreeSurfer and FSL against manual segmentation”[NeuroImage 129 (2016) 1–14]

Author

Schoemaker, Dorothee, Buss, Claudia, Head, Kevin, Sandman, Curt A, Davis, Elysia P, Chakravarty, M Mallar, Gauthier, Serge, and Pruessner, Jens C

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery, Biomedical and clinical sciences, Health sciences
Abstract

The authors discovered an error in Fig. 4 of the published manuscript. The graphs displayed in Fig. 4-B correspond to a replication of those presented in Fig. 4-A. While the graphs in Fig. 4-A are accurate, the graphs in Fig. 4-B should instead be showing correlations between manual segmentation and FSL-FIRST volumes (not FreeSurfer as in the previously published version). Please find here the rectified Fig. 4. The correlation coefficients presented in the results section of the manuscript are accurate and thus, the manuscript itself remains unaffected by this error. LEGEND (unchanged) [Figure presented] The authors would like to apologise for any inconvenience caused.

Published
2018

38. Sex-focused analyses of M83 A53T hemizygous mouse model with recombinant human alpha-synuclein preformed fibril injection identifies female resilience to disease progression: A combined magnetic resonance imaging and behavioural study.

Author

Tullo, Stephanie, primary, Park, Janice, additional, Gallino, Daniel, additional, Park, Megan, additional, Mar, Kristie, additional, Novikov, Vladislav, additional, Sandoval Contreras, Rodrigo, additional, Patel, Raihaan, additional, del Cid-Pellitero, Esther, additional, Fon, Edward A., additional, Luo, Wen, additional, Shlaifer, Irina, additional, Durcan, Thomas M., additional, Prado, Marco A.M., additional, Prado, Vania F., additional, Devenyi, Gabriel A., additional, and Chakravarty, M. Mallar, additional

Published
2024
Full Text
View/download PDF

40. Small animal imaging presents an opportunity for improving translational research in biological psychiatry

Author

Chakravarty, M. Mallar and Guma, Elisa

Subjects
Psychiatric research -- Methods, Animal models in research -- Usage, Imaging systems -- Methods, Translational research -- Methods, Health, Psychology and mental health
Abstract

Recent efforts in biological psychiatry have made a significant push toward examining both psychopathology and brain circuitry on a continuum across the spectrum of healthy individuals to those suffering from [...]

Published
2021
Full Text
View/download PDF

42. The impact of the Siemens Tim Trio to Prisma upgrade and the addition of volumetric navigators on cortical thickness, structure volume, and 1H-MRS indices: An MRI reliability study with implications for longitudinal study designs

Author

Plitman, Eric, Bussy, Aurélie, Valiquette, Vanessa, Salaciak, Alyssa, Patel, Raihaan, Cupo, Lani, Béland, Marie-Lise, Tullo, Stephanie, Tardif, Christine Lucas, Rajah, M. Natasha, Near, Jamie, Devenyi, Gabriel A., and Chakravarty, M. Mallar

Published
2021
Full Text
View/download PDF

44. Amyloid-beta modulates the association between neurofilament light chain and brain atrophy in Alzheimer’s disease

Author

Kang, Min Su, Aliaga, Arturo Aliaga, Shin, Monica, Mathotaarachchi, Sulantha, Benedet, Andrea L., Pascoal, Tharick A., Therriault, Joseph, Chamoun, Mira, Savard, Melissa, Devenyi, Gabriel A., Mathieu, Axel, Chakravarty, M. Mallar, Sandelius, Åsa, Blennow, Kaj, Zetterberg, Henrik, Soucy, Jean-Paul, Cuello, A. Claudio, Massarweh, Gassan, Gauthier, Serge, and Rosa-Neto, Pedro

Published
2021
Full Text
View/download PDF

48. Allometric Analysis Detects Brain Size-Independent Effects of Sex and Sex Chromosome Complement on Human Cerebellar Organization

Author

Mankiw, Catherine, Park, Min Tae M, Reardon, PK, Fish, Ari M, Clasen, Liv S, Greenstein, Deanna, Giedd, Jay N, Blumenthal, Jonathan D, Lerch, Jason P, Chakravarty, M Mallar, and Raznahan, Armin

Subjects
Brain Disorders, Clinical Research, Neurosciences, Rare Diseases, 1.1 Normal biological development and functioning, Underpinning research, Neurological, Abnormal Karyotype, Adolescent, Adult, Aneuploidy, Cerebellum, Child, Chromosomes, Human, X, Chromosomes, Human, Y, Female, Humans, Magnetic Resonance Imaging, Male, Organ Size, cerebellum, development, genetics, neuroimaging, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract

The cerebellum is a large hindbrain structure that is increasingly recognized for its contribution to diverse domains of cognitive and affective processing in human health and disease. Although several of these domains are sex biased, our fundamental understanding of cerebellar sex differences-including their spatial distribution, potential biological determinants, and independence from brain volume variation-lags far behind that for the cerebrum. Here, we harness automated neuroimaging methods for cerebellar morphometrics in 417 individuals to (1) localize normative male-female differences in raw cerebellar volume, (2) compare these to sex chromosome effects estimated across five rare sex (X/Y) chromosome aneuploidy (SCA) syndromes, and (3) clarify brain size-independent effects of sex and SCA on cerebellar anatomy using a generalizable allometric approach that considers scaling relationships between regional cerebellar volume and brain volume in health. The integration of these approaches shows that (1) sex and SCA effects on raw cerebellar volume are large and distributed, but regionally heterogeneous, (2) human cerebellar volume scales with brain volume in a highly nonlinear and regionally heterogeneous fashion that departs from documented patterns of cerebellar scaling in phylogeny, and (3) cerebellar organization is modified in a brain size-independent manner by sex (relative expansion of total cerebellum, flocculus, and Crus II-lobule VIIIB volumes in males) and SCA (contraction of total cerebellar, lobule IV, and Crus I volumes with additional X- or Y-chromosomes; X-specific contraction of Crus II-lobule VIIIB). Our methods and results clarify the shifts in human cerebellar organization that accompany interwoven variations in sex, sex chromosome complement, and brain size.SIGNIFICANCE STATEMENT Cerebellar systems are implicated in diverse domains of sex-biased behavior and pathology, but we lack a basic understanding of how sex differences in the human cerebellum are distributed and determined. We leverage a rare neuroimaging dataset to deconvolve the interwoven effects of sex, sex chromosome complement, and brain size on human cerebellar organization. We reveal topographically variegated scaling relationships between regional cerebellar volume and brain size in humans, which (1) are distinct from those observed in phylogeny, (2) invalidate a traditional neuroimaging method for brain volume correction, and (3) allow more valid and accurate resolution of which cerebellar subcomponents are sensitive to sex and sex chromosome complement. These findings advance understanding of cerebellar organization in health and sex chromosome aneuploidy.

Published
2017

49. Novel genetic loci associated with hippocampal volume.

Author

Hibar, Derrek P, Adams, Hieab HH, Jahanshad, Neda, Chauhan, Ganesh, Stein, Jason L, Hofer, Edith, Renteria, Miguel E, Bis, Joshua C, Arias-Vasquez, Alejandro, Ikram, M Kamran, Desrivières, Sylvane, Vernooij, Meike W, Abramovic, Lucija, Alhusaini, Saud, Amin, Najaf, Andersson, Micael, Arfanakis, Konstantinos, Aribisala, Benjamin S, Armstrong, Nicola J, Athanasiu, Lavinia, Axelsson, Tomas, Beecham, Ashley H, Beiser, Alexa, Bernard, Manon, Blanton, Susan H, Bohlken, Marc M, Boks, Marco P, Bralten, Janita, Brickman, Adam M, Carmichael, Owen, Chakravarty, M Mallar, Chen, Qiang, Ching, Christopher RK, Chouraki, Vincent, Cuellar-Partida, Gabriel, Crivello, Fabrice, Den Braber, Anouk, Doan, Nhat Trung, Ehrlich, Stefan, Giddaluru, Sudheer, Goldman, Aaron L, Gottesman, Rebecca F, Grimm, Oliver, Griswold, Michael E, Guadalupe, Tulio, Gutman, Boris A, Hass, Johanna, Haukvik, Unn K, Hoehn, David, Holmes, Avram J, Hoogman, Martine, Janowitz, Deborah, Jia, Tianye, Jørgensen, Kjetil N, Karbalai, Nazanin, Kasperaviciute, Dalia, Kim, Sungeun, Klein, Marieke, Kraemer, Bernd, Lee, Phil H, Liewald, David CM, Lopez, Lorna M, Luciano, Michelle, Macare, Christine, Marquand, Andre F, Matarin, Mar, Mather, Karen A, Mattheisen, Manuel, McKay, David R, Milaneschi, Yuri, Muñoz Maniega, Susana, Nho, Kwangsik, Nugent, Allison C, Nyquist, Paul, Loohuis, Loes M Olde, Oosterlaan, Jaap, Papmeyer, Martina, Pirpamer, Lukas, Pütz, Benno, Ramasamy, Adaikalavan, Richards, Jennifer S, Risacher, Shannon L, Roiz-Santiañez, Roberto, Rommelse, Nanda, Ropele, Stefan, Rose, Emma J, Royle, Natalie A, Rundek, Tatjana, Sämann, Philipp G, Saremi, Arvin, Satizabal, Claudia L, Schmaal, Lianne, Schork, Andrew J, Shen, Li, Shin, Jean, Shumskaya, Elena, Smith, Albert V, Sprooten, Emma, Strike, Lachlan T, and Teumer, Alexander

Subjects
Hippocampus, Humans, Alzheimer Disease, Genetic Predisposition to Disease, Protein-Serine-Threonine Kinases, Glycoproteins, Microtubule-Associated Proteins, Nerve Tissue Proteins, Organ Size, Cohort Studies, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Child, Female, Male, Genome-Wide Association Study, Young Adult, Methionine Sulfoxide Reductases, Genetic Loci, Dipeptidyl Peptidase 4, Human Genome, Aging, Brain Disorders, Clinical Research, Acquired Cognitive Impairment, Neurodegenerative, Dementia, Neurosciences, Prevention, Genetics, Alzheimer's Disease, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Mental Health, 2.1 Biological and endogenous factors, Mental health, Neurological
Abstract

The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg=-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.

Published
2017

50. A harmonized segmentation protocol for hippocampal and parahippocampal subregions: Why do we need one and what are the key goals?

Author

Wisse, Laura EM, Daugherty, Ana M, Olsen, Rosanna K, Berron, David, Carr, Valerie A, Stark, Craig EL, Amaral, Robert SC, Amunts, Katrin, Augustinack, Jean C, Bender, Andrew R, Bernstein, Jeffrey D, Boccardi, Marina, Bocchetta, Martina, Burggren, Alison, Chakravarty, M Mallar, Chupin, Marie, Ekstrom, Arne, de Flores, Robin, Insausti, Ricardo, Kanel, Prabesh, Kedo, Olga, Kennedy, Kristen M, Kerchner, Geoffrey A, LaRocque, Karen F, Liu, Xiuwen, Maass, Anne, Malykhin, Nicolai, Mueller, Susanne G, Ofen, Noa, Palombo, Daniela J, Parekh, Mansi B, Pluta, John B, Pruessner, Jens C, Raz, Naftali, Rodrigue, Karen M, Schoemaker, Dorothee, Shafer, Andrea T, Steve, Trevor A, Suthana, Nanthia, Wang, Lei, Winterburn, Julie L, Yassa, Michael A, Yushkevich, Paul A, la Joie, Renaud, and Group, for the Hippocampal Subfields

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Biomedical Imaging, Bioengineering, Hippocampus, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Parahippocampal Gyrus, Pattern Recognition, Automated, hippocampus, segmentation, harmonization, MRI, parahippocampal gyrus, Hippocampal Subfields Group, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

The advent of high-resolution magnetic resonance imaging (MRI) has enabled in vivo research in a variety of populations and diseases on the structure and function of hippocampal subfields and subdivisions of the parahippocampal gyrus. Because of the many extant and highly discrepant segmentation protocols, comparing results across studies is difficult. To overcome this barrier, the Hippocampal Subfields Group was formed as an international collaboration with the aim of developing a harmonized protocol for manual segmentation of hippocampal and parahippocampal subregions on high-resolution MRI. In this commentary we discuss the goals for this protocol and the associated key challenges involved in its development. These include differences among existing anatomical reference materials, striking the right balance between reliability of measurements and anatomical validity, and the development of a versatile protocol that can be adopted for the study of populations varying in age and health. The commentary outlines these key challenges, as well as the proposed solution of each, with concrete examples from our working plan. Finally, with two examples, we illustrate how the harmonized protocol, once completed, is expected to impact the field by producing measurements that are quantitatively comparable across labs and by facilitating the synthesis of findings across different studies. © 2016 Wiley Periodicals, Inc.

Published
2017

Catalog

Books, media, physical & digital resources
See catalog results