Search

Your search keyword '"Farzin, Sarah"' showing total 16 results
Start Over "Farzin, Sarah"
16 results on '"Farzin, Sarah"'

1. The neurophysiological brain-fingerprint of Parkinson’s disease

Author

Breitner, John, Poirier, Judes, Baillet, Sylvain, Bellec, Pierre, Bohbot, Véronique, Chakravarty, Mallar, Collins, Louis, Etienne, Pierre, Evans, Alan, Gauthier, Serge, Hoge, Rick, Ituria-Medina, Yasser, Multhaup, Gerhard, Münter, Lisa-Marie, Rajah, Natasha, Rosa-Neto, Pedro, Soucy, Jean-Paul, Vachon-Presseau, Etienne, Villeneuve, Sylvia, Amouyel, Philippe, Appleby, Melissa, Ashton, Nicholas, Auld, Daniel, Ayranci, Gülebru, Bedetti, Christophe, Beland, Marie-Lise, Blennow, Kaj, Westman, Ann Brinkmalm, Cuello, Claudio, Dadar, Mahsa, Daoust, Leslie-Ann, Das, Samir, Dauar-Tedeschi, Marina, De Beaumont, Louis, Dea, Doris, Descoteaux, Maxime, Dufour, Marianne, Farzin, Sarah, Ferdinand, Fabiola, Fonov, Vladimir, Gonneaud, Julie, Kat, Justin, Kazazian, Christina, Labonté, Anne, Lafaille-Magnan, Marie-Elyse, Lalancette, Marc, Lambert, Jean-Charles, Leoutsakos, Jeannie-Marie, Mahar, Laura, Mathieu, Axel, McSweeney, Melissa, Meyer, Pierre-François, Miron, Justin, Near, Jamie, NewboldFox, Holly, Nilsson, Nathalie, Orban, Pierre, Picard, Cynthia, Binette, Alexa Pichet, Poline, Jean-Baptiste, Rabipour, Sheida, Salaciak, Alyssa, Settimi, Matthew, Subramaniapillai, Sivaniya, Tam, Angela, Tardif, Christine, Théroux, Louise, Tremblay-Mercier, Jennifer, Tullo, Stephanie, Ulku, Irem, Vallée, Isabelle, Zetterberg, Henrik, Nair, Vasavan, Pruessner, Jens, Aisen, Paul, Anthal, Elena, Barkun, Alan, Beaudry, Thomas, Benbouhoud, Fatiha, Brandt, Jason, Carmo, Leopoldina, Carrier, Charles Edouard, Cheewakriengkrai, Laksanun, Courcot, Blandine, Couture, Doris, Craft, Suzanne, Dansereau, Christian, Debacker, Clément, Desautels, René, Dubuc, Sylvie, Duclair, Guerda, Eisenberg, Mark, El-Khoury, Rana, Faubert, Anne-Marie, Fontaine, David, Frappier, Josée, Frenette, Joanne, Gagné, Guylaine, Gervais, Valérie, Giles, Renuka, Gordon, Renee, Jack, Clifford, Jutras, Benoit, Khachaturian, Zaven, Knopman, David, Kostopoulos, Penelope, Lapalme, Félix, Lee, Tanya, Lepage, Claude, Leppert, Illana, Madjar, Cécile, Maillet, David, Maltais, Jean-Robert, Mathotaarachchi, Sulantha, Mayrand, Ginette, Michaud, Diane, Montine, Thomas, Morris, John, Pagé, Véronique, Pascoal, Tharick, Peillieux, Sandra, Petkova, Mirela, Pogossova, Galina, Rioux, Pierre, Sager, Mark, Saint-Fort, Eunice Farah, Savard, Mélissa, Sperling, Reisa, Tabrizi, Shirin, Tariot, Pierre, Teigner, Eduard, Thomas, Ronald, Toussaint, Paule-Joanne, Tuwaig, Miranda, Venugopalan, Vinod, Verfaillie, Sander, Vogel, Jacob, Wan, Karen, Wang, Seqian, Yu, Elsa, Beaulieu-Boire, Isabelle, Blanchet, Pierre, Bogard, Sarah, Bouchard, Manon, Chouinard, Sylvain, Cicchetti, Francesca, Cloutier, Martin, Dagher, Alain, Degroot, Clotilde, Desautels, Alex, Dion, Marie Hélène, Drouin-Ouellet, Janelle, Dufresne, Anne-Marie, Dupré, Nicolas, Duquette, Antoine, Durcan, Thomas, Fellows, Lesley K., Fon, Edward, Gagnon, Jean-François, Gan-Or, Ziv, Genge, Angela, Jodoin, Nicolas, Karamchandani, Jason, Lafontaine, Anne-Louise, Langlois, Mélanie, Leveille, Etienne, Lévesque, Martin, Melmed, Calvin, Monchi, Oury, Montplaisir, Jacques, Panisset, Michel, Parent, Martin, Pham-An, Minh-Thy, Postuma, Ronald, Pourcher, Emmanuelle, Rao, Trisha, Rivest, Jean, Rouleau, Guy, Sharp, Madeleine, Soland, Valérie, Sidel, Michael, Wing Sun, Sonia Lai, Thiel, Alexander, Vitali, Paolo, da Silva Castanheira, Jason, Wiesman, Alex I., Hansen, Justine Y., and Misic, Bratislav

Published
2024
Full Text
View/download PDF

2. Author Correction: [11C]Martinostat PET analysis reveals reduced HDAC I availability in Alzheimer’s disease

Author

Pascoal, Tharick A., Chamoun, Mira, Lax, Elad, Wey, Hsiao-Ying, Shin, Monica, Ng, Kok Pin, Kang, Min Su, Mathotaarachchi, Sulantha, Benedet, Andrea L., Therriault, Joseph, Lussier, Firoza Z., Schroeder, Frederick A., DuBois, Jonathan M., Hightower, Baileigh G., Gilbert, Tonya M., Zürcher, Nicole R., Wang, Changning, Hopewell, Robert, Chakravarty, Mallar, Savard, Melissa, Thomas, Emilie, Mohaddes, Sara, Farzin, Sarah, Salaciak, Alyssa, Tullo, Stephanie, Cuello, A. Claudio, Soucy, Jean-Paul, Massarweh, Gassan, Hwang, Heungsun, Kobayashi, Eliane, Hyman, Bradley T., Dickerson, Bradford C., Guiot, Marie-Christine, Szyf, Moshe, Gauthier, Serge, Hooker, Jacob M., and Rosa-Neto, Pedro

Published
2022
Full Text
View/download PDF

3. [11C]Martinostat PET analysis reveals reduced HDAC I availability in Alzheimer’s disease

Author

Pascoal, Tharick A., Chamoun, Mira, Lax, Elad, Wey, Hsiao-Ying, Shin, Monica, Ng, Kok Pin, Kang, Min Su, Mathotaarachchi, Sulantha, Benedet, Andrea L., Therriault, Joseph, Lussier, Firoza Z., Schroeder, Frederick A., DuBois, Jonathan M., Hightower, Baileigh G., Gilbert, Tonya M., Zürcher, Nicole R., Wang, Changning, Hopewell, Robert, Chakravarty, Mallar, Savard, Melissa, Thomas, Emilie, Mohaddes, Sara, Farzin, Sarah, Salaciak, Alyssa, Tullo, Stephanie, Cuello, A. Claudio, Soucy, Jean-Paul, Massarweh, Gassan, Hwang, Heungsun, Kobayashi, Eliane, Hyman, Bradley T., Dickerson, Bradford C., Guiot, Marie-Christine, Szyf, Moshe, Gauthier, Serge, Hooker, Jacob M., and Rosa-Neto, Pedro

Published
2022
Full Text
View/download PDF

6. High spatial overlap but diverging age‐related trajectories of cortical magnetic resonance imaging markers aiming to represent intracortical myelin and microstructure

Author

Parent, Olivier, primary, Olafson, Emily, additional, Bussy, Aurélie, additional, Tullo, Stephanie, additional, Blostein, Nadia, additional, Dai, Alyssa, additional, Salaciak, Alyssa, additional, Bedford, Saashi A., additional, Farzin, Sarah, additional, Béland, Marie‐Lise, additional, Valiquette, Vanessa, additional, Tardif, Christine L., additional, Devenyi, Gabriel A., additional, and Chakravarty, M. Mallar, additional

Published
2023
Full Text
View/download PDF

7. High spatial overlap but diverging age-related trajectories of cortical magnetic resonance imaging markers aiming to represent intracortical myelin and microstructure

Author

Parent, Olivier, Olafson, Emily, Bussy, Aurélie, Tullo, Stephanie, Blostein, Nadia, Dai, Alyssa, Salaciak, Alyssa, Bedford, Saashi A., Farzin, Sarah, Béland, Marie-Lise, Valiquette, Vanessa, Tardif, Christine L., Devenyi, Gabriel A., Chakravarty, M. Mallar, Parent, Olivier, Olafson, Emily, Bussy, Aurélie, Tullo, Stephanie, Blostein, Nadia, Dai, Alyssa, Salaciak, Alyssa, Bedford, Saashi A., Farzin, Sarah, Béland, Marie-Lise, Valiquette, Vanessa, Tardif, Christine L., Devenyi, Gabriel A., and Chakravarty, M. Mallar

Abstract

Statistical effects of cortical metrics derived from standard T1- and T2-weighted magnetic resonance imaging (MRI) images, such as gray–white matter contrast (GWC), boundary sharpness coefficient (BSC), T1-weighted/T2-weighted ratio (T1w/T2w), and cortical thickness (CT), are often interpreted as representing or being influenced by intracortical myelin content with little empirical evidence to justify these interpretations. We first examined spatial correspondence with more biologically specific microstructural measures, and second compared between-marker age-related trends with the underlying hypothesis that different measures primarily driven by similar changes in myelo- and microstructural underpinnings should be highly related. Cortical MRI markers were derived from MRI images of 127 healthy subjects, aged 18–81, using cortical surfaces that were generated with the CIVET 2.1.0 pipeline. Their gross spatial distributions were compared with gene expression-derived cell-type densities, histology-derived cytoarchitecture, and quantitative R1 maps acquired on a subset of participants. We then compared between-marker age-related trends in their shape, direction, and spatial distribution of the linear age effect. The gross anatomical distributions of cortical MRI markers were, in general, more related to myelin and glial cells than neuronal indicators. Comparing MRI markers, our results revealed generally high overlap in spatial distribution (i.e., group means), but mostly divergent age trajectories in the shape, direction, and spatial distribution of the linear age effect. We conclude that the microstructural properties at the source of spatial distributions of MRI cortical markers can be different from microstructural changes that affect these markers in aging.

Published
2023

9. High spatial overlap but diverging age-related trajectories of cortical MRI markers aiming to represent intracortical myelin and microstructure

Author

Parent, Olivier, primary, Olafson, Emily, additional, Bussy, Aurélie, additional, Tullo, Stephanie, additional, Blostein, Nadia, additional, Salaciak, Alyssa, additional, Bedford, Saashi A., additional, Farzin, Sarah, additional, Béland, Marie-Lise, additional, Valiquette, Vanessa, additional, Tardif, Christine L., additional, Devenyi, Gabriel A., additional, and Mallar Chakravarty, M., additional

Published
2022
Full Text
View/download PDF

10. Amyloid and Tau Pathology Associations With Personality Traits, Neuropsychiatric Symptoms, and Cognitive Lifestyle in the Preclinical Phases of Sporadic and Autosomal Dominant Alzheimer’s Disease

Author

Pichet Binette, Alexa, primary, Vachon-Presseau, Étienne, additional, Morris, John, additional, Bateman, Randall, additional, Benzinger, Tammie, additional, Collins, D. Louis, additional, Poirier, Judes, additional, Breitner, John C.S., additional, Villeneuve, Sylvia, additional, Allegri, Ricardo, additional, Amtashar, Fatima, additional, Bateman, Randy, additional, Berman, Sarah, additional, Bodge, Courtney, additional, Brandon, Susan, additional, Brooks, William (Bill), additional, Buck, Jill, additional, Buckles, Virginia, additional, Chea, Sochenda, additional, Chhatwal, Jasmeer, additional, Chrem, Patricio, additional, Chui, Helena, additional, Cinco, Jake, additional, Clifford, Jack, additional, Cruchaga, Carlos, additional, D‘Mello, Mirelle, additional, Donahue, Tamara, additional, Douglas, Jane, additional, Edigo, Noelia, additional, Erekin-Taner, Nilufer, additional, Fagan, Anne, additional, Farlow, Marty, additional, Farrar, Angela, additional, Feldman, Howard, additional, Flynn, Gigi, additional, Fox, Nick, additional, Franklin, Erin, additional, Fujii, Hisako, additional, Gant, Cortaiga, additional, Gardener, Samantha, additional, Ghetti, Bernardino, additional, Goate, Alison, additional, Goldman, Jill, additional, Gordon, Brian, additional, Graff-Radford, Neill, additional, Gray, Julia, additional, Gurney, Jenny, additional, Hassenstab, Jason, additional, Hirohara, Mie, additional, Holtzman, David, additional, Hornbeck, Russ, additional, DiBari, Siri Houeland, additional, Ikeuchi, Takeshi, additional, Ikonomovic, Snezana, additional, Jerome, Gina, additional, Jucker, Mathias, additional, Karch, Celeste, additional, Kasuga, Kensaku, additional, Kawarabayashi, Takeshi, additional, Klunk, William (Bill), additional, Koeppe, Robert, additional, Kuder-Buletta, Elke, additional, Laske, Christoph, additional, Lee, Jae-Hong, additional, Levin, Johannes, additional, Marcus, Daniel, additional, Martins, Ralph, additional, Mason, Neal Scott, additional, Masters, Colin, additional, Maue-Dreyfus, Denise, additional, McDade, Eric, additional, Montoya, Lucy, additional, Mori, Hiroshi, additional, Nagamatsu, Akem, additional, Neimeyer, Katie, additional, Noble, James, additional, Norton, Joanne, additional, Perrin, Richard, additional, Raichle, Marc, additional, Ringman, John, additional, Roh, Jee Hoon, additional, Salloway, Stephen, additional, Schofield, Peter, additional, Shimada, Hiroyuki, additional, Shiroto, Tomoyo, additional, Shoji, Mikio, additional, Sigurdson, Wendy, additional, Sohrabi, Hamid, additional, Sparks, Paige, additional, Suzuki, Kazushi, additional, Swisher, Laura, additional, Taddei, Kevin, additional, Wang, Jen, additional, Wang, Peter, additional, Weiner, Mike, additional, Wolfsberger, Mary, additional, Xiong, Chengjie, additional, Xu, Xiong, additional, Tam, Angela, additional, Labonté, Anne, additional, Pichet Binette, Alexa, additional, Faubert, Anne-Marie, additional, Mathieu, Axel, additional, Madjar, Cécile, additional, Carrier, Charles Edouard, additional, Dansereau, Christian, additional, Kazazian, Christina, additional, Lepage, Claude, additional, Picard, Cynthia, additional, Maillet, David, additional, Michaud, Diane, additional, Couture, Doris, additional, Dea, Doris, additional, Cuello, Claudio, additional, Barkun, Alan, additional, Evans, Alan, additional, Courcot, Blandine, additional, Tardif, Christine, additional, Debacker, Clément, additional, Jack, Clifford R., additional, Fontaine, David, additional, Knopman, David S., additional, Maultaup, Gerhard, additional, Near, Jamie, additional, Leoutsakos, Jeannie-Marie, additional, Maltais, Jean-Robert, additional, Brandt, Jason, additional, Pruessner, Jens, additional, Morris, John C., additional, Cheewakriengkrai, Laksanun, additional, Münter, Lisa-Marie, additional, Collins, Louis, additional, Chakravarty, Mallar, additional, Sager, Mark A., additional, Dauar-Tedeschi, Marina, additional, Eisenberg, Mark, additional, Rajah, Natasha, additional, Aisen, Paul, additional, Toussaint, Joanne, additional, Rosa-Neto, Pedro, additional, Bellec, Pierre, additional, Kostopoulos, Penelope, additional, Etienne, Pierre, additional, Tariot, Pierre N., additional, Orban, Pierre, additional, Sperling, Reisa A., additional, Hoge, Rick, additional, Thomas, Ronald G., additional, Gauthier, Serge, additional, Craft, Suzanne, additional, Montine, Thomas J., additional, Nair, Vasavan, additional, Bohbot, Véronique, additional, Venugopalan, Vinod, additional, Fonov, Vladimir, additional, Ituria-Medina, Yasser, additional, Khachaturian, Zaven S., additional, Teigner, Eduard, additional, Anthal, Elena, additional, Yu, Elsa, additional, Ferdinand, Fabiola, additional, Pogossova, Galina, additional, Mayrand, Ginette, additional, Duclair, Guerda, additional, Gagné, Guylaine, additional, Newbold-Fox, Holly, additional, Leppert, Illana, additional, Vallée, Isabelle, additional, Vogel, Jacob W., additional, Tremblay-Mercier, Jennifer, additional, Frenette, Joanne, additional, Frappier, Josée, additional, Kat, Justin, additional, Miron, Justin, additional, Wan, Karen, additional, Mahar, Laura, additional, Carmo, Leopoldina, additional, Théroux, Louise, additional, Dadar, Mahsa, additional, Dufour, Marianne, additional, Lafaille-Magnan, Marie-Elyse, additional, Appleby, Melissa, additional, Savard, Mélissa, additional, Tuwaig, Miranda, additional, Petkova, Mirela, additional, Rioux, Pierre, additional, Meyer, Pierre-François, additional, El-Khoury, Rana, additional, Gordon, Renee, additional, Giles, Renuka, additional, Das, Samir, additional, Wang, Seqian, additional, Tabrizi, Shirin, additional, Mathotaarachchi, Sulantha, additional, Dubuc, Sylvie, additional, Lee, Tanya, additional, Beaudry, Thomas, additional, Gervais, Valérie, additional, Pagé, Véronique, additional, Gonneaud, Julie, additional, Ayranci, Gülebru, additional, Pascoal, Tharick A., additional, Desautels, René, additional, Benbouhoud, Fatiha, additional, Saint-Fort, Eunice Farah, additional, Verfaillie, Sander C.J., additional, Farzin, Sarah, additional, Salaciak, Alyssa, additional, Tullo, Stephanie, additional, Vachon-Presseau, Etienne, additional, Daoust, Leslie-Ann, additional, Köbe, Theresa, additional, Spreng, Nathan, additional, McSweeney, Melissa, additional, Nilsson, Nathalie, additional, Pishnamazi, Morteza, additional, and Bedetti, Christophe, additional

Published
2021
Full Text
View/download PDF

12. Hippocampus shape across the healthy lifespan and its relationship with cognition

Author

Bussy, Aurelie, primary, Patel, Raihaan, additional, Plitman, Eric, additional, Tullo, Stephanie, additional, Salaciak, Alyssa, additional, Bedford, Saashi A., additional, Farzin, Sarah, additional, Béland, Marie-Lise, additional, Valiquette, Vanessa, additional, Kazazian, Christina, additional, Tardif, Christine L., additional, Devenyi, Gabriel A., additional, and Chakravarty, Mallar, additional

Published
2020
Full Text
View/download PDF

13. Hippocampal subfield volumes across the healthy lifespan and the effects of MR sequence on estimates

Author

Bussy, Aurelie, primary, Plitman, Eric, additional, Patel, Raihaan, additional, Tullo, Stephanie, additional, Salaciak, Alyssa, additional, Bedford, Saashi A., additional, Farzin, Sarah, additional, Béland, Marie-Lise, additional, Valiquette, Vanessa, additional, Kazazian, Christina, additional, Tardif, Christine, additional, Devenyi, Gabriel A., additional, and Chakravarty, Mallar, additional

Published
2020
Full Text
View/download PDF

14. MR‐based age‐related effects on the striatum, globus pallidus, and thalamus in healthy individuals across the adult lifespan.

Author

Tullo, Stephanie, Patel, Raihaan, Devenyi, Gabriel A., Salaciak, Alyssa, Bedford, Saashi A., Farzin, Sarah, Wlodarski, Nancy, Tardif, Christine L., Breitner, John C. S., and Chakravarty, M. Mallar

Subjects
GLOBUS pallidus, THALAMUS, MIDDLE age, MAGNETIC resonance imaging, CORPUS striatum
Abstract

While numerous studies have used magnetic resonance imaging (MRI) to elucidate normative age‐related trajectories in subcortical structures across the human lifespan, there exists substantial heterogeneity among different studies. Here, we investigated the normative relationships between age and morphology (i.e., volume and shape), and microstructure (using the T1‐weighted/T2‐weighted [T1w/T2w] signal ratio as a putative index of myelin and microstructure) of the striatum, globus pallidus, and thalamus across the adult lifespan using a dataset carefully quality controlled, yielding a final sample of 178 for the morphological analyses, and 162 for the T1w/T2w analyses from an initial dataset of 253 healthy subjects, aged 18–83. In accordance with previous cross‐sectional studies of adults, we observed age‐related volume decrease that followed a quadratic relationship between age and bilateral striatal and thalamic volumes, and a linear relationship in the globus pallidus. Our shape indices consistently demonstrated age‐related posterior and medial areal contraction bilaterally across all three structures. Beyond morphology, we observed a quadratic inverted U‐shaped relationship between T1w/T2w signal ratio and age, with a peak value occurring in middle age (at around 50 years old). After permutation testing, the Akaike information criterion determined age relationships remained significant for the bilateral globus pallidus and thalamus, for both the volumetric and T1w/T2w analyses. Our findings serve to strengthen and expand upon previous volumetric analyses by providing a normative baseline of morphology and microstructure of these structures to which future studies investigating patients with various disorders can be compared. [ABSTRACT FROM AUTHOR]

Published
2019
Full Text
View/download PDF

16. Multivariate analysis of morphometric and quantitative magnetic resonance imaging metrics in aging and Alzheimer’s disease

Author

Bussy, Aurelie, primary, Patel, Raihaan, additional, Salaciak, Alyssa, additional, Farzin, Sarah, additional, Tullo, Stephanie, additional, Pelleieux, Sandra, additional, Villeneuve, Sylvia, additional, Poirier, Judes, additional, Breitner, John, additional, Devenyi, Gabriel, additional, Tardif, Christine, additional, and Chakravarty, M. Mallar, additional

Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results