Patterns of mnemonic differences in phase clustering are dependent on time alignment.

<p><b>A.</b> Heatmaps display the mean difference in z-scored ITPC between hit and miss trials. The x-axis displays time in milliseconds relative to HFB peak, and the y-axis displays frequency. Color indicates the difference between (subsequent) hit and miss trials in units of z-sc...

সম্পূর্ণ বিবরণ

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Adam J. O. Dede (11554007) (author)
অন্যান্য লেখক: Zachariah R. Cross (12517201) (author), Samantha M. Gray (15280322) (author), Joseph P. Kelly (22683512) (author), Qin Yin (688027) (author), Parisa Vahidi (6252611) (author), Eishi Asano (10954801) (author), Stephan U. Schuele (8892719) (author), Joshua M. Rosenow (8892722) (author), Joyce Y. Wu (3162564) (author), Sandi K. Lam (10529066) (author), Jeffrey S. Raskin (22683515) (author), Jack J. Lin (7553783) (author), Olivia Kim McManus (22683518) (author), Shifteh Sattar (13215409) (author), Ammar Shaikhouni (5722517) (author), David King-Stephens (22683521) (author), Peter B. Weber (22683524) (author), Kenneth D. Laxer (14948857) (author), Peter Brunner (290008) (author), Jarod L. Roland (9193178) (author), Ignacio Saez (2165584) (author), Fady Girgis (17749833) (author), Robert T. Knight (7108925) (author), Noa Ofen (4059280) (author), Elizabeth L. Johnson (12688232) (author)
প্রকাশিত: 2025
বিষয়গুলি:
ট্যাগগুলো: ট্যাগ যুক্ত করুন
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
_version_ 1849927627500945408
author Adam J. O. Dede (11554007)
author2 Zachariah R. Cross (12517201)
Samantha M. Gray (15280322)
Joseph P. Kelly (22683512)
Qin Yin (688027)
Parisa Vahidi (6252611)
Eishi Asano (10954801)
Stephan U. Schuele (8892719)
Joshua M. Rosenow (8892722)
Joyce Y. Wu (3162564)
Sandi K. Lam (10529066)
Jeffrey S. Raskin (22683515)
Jack J. Lin (7553783)
Olivia Kim McManus (22683518)
Shifteh Sattar (13215409)
Ammar Shaikhouni (5722517)
David King-Stephens (22683521)
Peter B. Weber (22683524)
Kenneth D. Laxer (14948857)
Peter Brunner (290008)
Jarod L. Roland (9193178)
Ignacio Saez (2165584)
Fady Girgis (17749833)
Robert T. Knight (7108925)
Noa Ofen (4059280)
Elizabeth L. Johnson (12688232)
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author_facet Adam J. O. Dede (11554007)
Zachariah R. Cross (12517201)
Samantha M. Gray (15280322)
Joseph P. Kelly (22683512)
Qin Yin (688027)
Parisa Vahidi (6252611)
Eishi Asano (10954801)
Stephan U. Schuele (8892719)
Joshua M. Rosenow (8892722)
Joyce Y. Wu (3162564)
Sandi K. Lam (10529066)
Jeffrey S. Raskin (22683515)
Jack J. Lin (7553783)
Olivia Kim McManus (22683518)
Shifteh Sattar (13215409)
Ammar Shaikhouni (5722517)
David King-Stephens (22683521)
Peter B. Weber (22683524)
Kenneth D. Laxer (14948857)
Peter Brunner (290008)
Jarod L. Roland (9193178)
Ignacio Saez (2165584)
Fady Girgis (17749833)
Robert T. Knight (7108925)
Noa Ofen (4059280)
Elizabeth L. Johnson (12688232)
author_role author
dc.creator.none.fl_str_mv Adam J. O. Dede (11554007)
Zachariah R. Cross (12517201)
Samantha M. Gray (15280322)
Joseph P. Kelly (22683512)
Qin Yin (688027)
Parisa Vahidi (6252611)
Eishi Asano (10954801)
Stephan U. Schuele (8892719)
Joshua M. Rosenow (8892722)
Joyce Y. Wu (3162564)
Sandi K. Lam (10529066)
Jeffrey S. Raskin (22683515)
Jack J. Lin (7553783)
Olivia Kim McManus (22683518)
Shifteh Sattar (13215409)
Ammar Shaikhouni (5722517)
David King-Stephens (22683521)
Peter B. Weber (22683524)
Kenneth D. Laxer (14948857)
Peter Brunner (290008)
Jarod L. Roland (9193178)
Ignacio Saez (2165584)
Fady Girgis (17749833)
Robert T. Knight (7108925)
Noa Ofen (4059280)
Elizabeth L. Johnson (12688232)
dc.date.none.fl_str_mv 2025-11-25T18:34:36Z
dc.identifier.none.fl_str_mv 10.1371/journal.pbio.3003481.g003
dc.relation.none.fl_str_mv https://figshare.com/articles/figure/Patterns_of_mnemonic_differences_in_phase_clustering_are_dependent_on_time_alignment_/30714395
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Cell Biology
Neuroscience
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
using intracranial eeg
recognition memory task
graph theoretic analysis
sparse network states
direct stimulus processing
sparse connectivity aligned
external stimulus presentation
internal pfc peaks
internal hfb peaks
mtl theta connectivity
stimulus presentation
local processing
generated states
external event
theta oscillations
pfc changed
patients performing
global organization
frequency broadband
contrasting analyses
anchored either
analyses triggered
dc.title.none.fl_str_mv Patterns of mnemonic differences in phase clustering are dependent on time alignment.
dc.type.none.fl_str_mv Image
Figure
info:eu-repo/semantics/publishedVersion
image
description <p><b>A.</b> Heatmaps display the mean difference in z-scored ITPC between hit and miss trials. The x-axis displays time in milliseconds relative to HFB peak, and the y-axis displays frequency. Color indicates the difference between (subsequent) hit and miss trials in units of z-scored ITPC. Encoding and retrieval data are plotted along the top and bottom rows, respectively. White outlines indicate statistical significance after permutation-based cluster correction. This panel can be regenerated using data contained in the TFphase_HFB folder and code in Figure3A_heatmapVersion.m [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003481#pbio.3003481.ref112" target="_blank">112</a>]. <b>B.</b> Similar to A except the x-axis displays time in seconds relative to image onset. Note that the dlPFC and pPFC exhibited strong hit/miss phase clustering effects when analysis was locked to local HFB peaks (panel A), but phase clustering effects are weaker when analysis is locked to image onset. This panel can be regenerated using data contained in the TFphase_image folder and code in Figure3B_supFigure4B.m [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003481#pbio.3003481.ref112" target="_blank">112</a>]. <b>C.</b> Histograms display the IMG-HFB index for different regions collapsed across hit/miss and encode/retrieve trial types. Values at the extremes indicated that phase clustering was observed exclusively when data were analyzed relative to image onset (left) or HFB peak (right). Intermediate values (near the vertical dashed line) indicated that the two treatments of time yielded similar results. Note that the distribution of channels in the dlPFC and pPFC is strongly skewed to the HFB end of the axis. This panel can be regenerated using data <b>D.</b>contained in HFB_IMG_index2.csv and code in HFB_IMG_index.Rmd lines 129–169 [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003481#pbio.3003481.ref112" target="_blank">112</a>]. <b>D.</b> The same as panel C but with histograms representing hit and miss trials collapsed across region and encoding/retrieval. This panel can be regenerated using data contained in HFB_IMG_index2.csv and code in HFB_IMG_index.Rmd lines 172–207 [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003481#pbio.3003481.ref112" target="_blank">112</a>]. <b>E.</b> The same as panel C but with histograms representing encoding and retrieval trials collapsed across region and hit/miss. The high channel count in the dlPFC leads to this region dominating the distribution shape in panels D and E, but the key observation is that IMG-HFB index values do not vary with hit/miss or encode/retrieve. This panel can be regenerated using data contained in HFB_IMG_index2.csv and code in HFB_IMG_index.Rmd lines 213–252 [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003481#pbio.3003481.ref112" target="_blank">112</a>].</p>
eu_rights_str_mv openAccess
id Manara_15e35954b9df27a775dce38b7e26cdc0
identifier_str_mv 10.1371/journal.pbio.3003481.g003
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/30714395
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Patterns of mnemonic differences in phase clustering are dependent on time alignment.Adam J. O. Dede (11554007)Zachariah R. Cross (12517201)Samantha M. Gray (15280322)Joseph P. Kelly (22683512)Qin Yin (688027)Parisa Vahidi (6252611)Eishi Asano (10954801)Stephan U. Schuele (8892719)Joshua M. Rosenow (8892722)Joyce Y. Wu (3162564)Sandi K. Lam (10529066)Jeffrey S. Raskin (22683515)Jack J. Lin (7553783)Olivia Kim McManus (22683518)Shifteh Sattar (13215409)Ammar Shaikhouni (5722517)David King-Stephens (22683521)Peter B. Weber (22683524)Kenneth D. Laxer (14948857)Peter Brunner (290008)Jarod L. Roland (9193178)Ignacio Saez (2165584)Fady Girgis (17749833)Robert T. Knight (7108925)Noa Ofen (4059280)Elizabeth L. Johnson (12688232)Cell BiologyNeuroscienceEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedusing intracranial eegrecognition memory taskgraph theoretic analysissparse network statesdirect stimulus processingsparse connectivity alignedexternal stimulus presentationinternal pfc peaksinternal hfb peaksmtl theta connectivitystimulus presentationlocal processinggenerated statesexternal eventtheta oscillationspfc changedpatients performingglobal organizationfrequency broadbandcontrasting analysesanchored eitheranalyses triggered<p><b>A.</b> Heatmaps display the mean difference in z-scored ITPC between hit and miss trials. The x-axis displays time in milliseconds relative to HFB peak, and the y-axis displays frequency. Color indicates the difference between (subsequent) hit and miss trials in units of z-scored ITPC. Encoding and retrieval data are plotted along the top and bottom rows, respectively. White outlines indicate statistical significance after permutation-based cluster correction. This panel can be regenerated using data contained in the TFphase_HFB folder and code in Figure3A_heatmapVersion.m [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003481#pbio.3003481.ref112" target="_blank">112</a>]. <b>B.</b> Similar to A except the x-axis displays time in seconds relative to image onset. Note that the dlPFC and pPFC exhibited strong hit/miss phase clustering effects when analysis was locked to local HFB peaks (panel A), but phase clustering effects are weaker when analysis is locked to image onset. This panel can be regenerated using data contained in the TFphase_image folder and code in Figure3B_supFigure4B.m [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003481#pbio.3003481.ref112" target="_blank">112</a>]. <b>C.</b> Histograms display the IMG-HFB index for different regions collapsed across hit/miss and encode/retrieve trial types. Values at the extremes indicated that phase clustering was observed exclusively when data were analyzed relative to image onset (left) or HFB peak (right). Intermediate values (near the vertical dashed line) indicated that the two treatments of time yielded similar results. Note that the distribution of channels in the dlPFC and pPFC is strongly skewed to the HFB end of the axis. This panel can be regenerated using data <b>D.</b>contained in HFB_IMG_index2.csv and code in HFB_IMG_index.Rmd lines 129–169 [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003481#pbio.3003481.ref112" target="_blank">112</a>]. <b>D.</b> The same as panel C but with histograms representing hit and miss trials collapsed across region and encoding/retrieval. This panel can be regenerated using data contained in HFB_IMG_index2.csv and code in HFB_IMG_index.Rmd lines 172–207 [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003481#pbio.3003481.ref112" target="_blank">112</a>]. <b>E.</b> The same as panel C but with histograms representing encoding and retrieval trials collapsed across region and hit/miss. The high channel count in the dlPFC leads to this region dominating the distribution shape in panels D and E, but the key observation is that IMG-HFB index values do not vary with hit/miss or encode/retrieve. This panel can be regenerated using data contained in HFB_IMG_index2.csv and code in HFB_IMG_index.Rmd lines 213–252 [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003481#pbio.3003481.ref112" target="_blank">112</a>].</p>2025-11-25T18:34:36ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pbio.3003481.g003https://figshare.com/articles/figure/Patterns_of_mnemonic_differences_in_phase_clustering_are_dependent_on_time_alignment_/30714395CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307143952025-11-25T18:34:36Z
spellingShingle Patterns of mnemonic differences in phase clustering are dependent on time alignment.
Adam J. O. Dede (11554007)
Cell Biology
Neuroscience
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
using intracranial eeg
recognition memory task
graph theoretic analysis
sparse network states
direct stimulus processing
sparse connectivity aligned
external stimulus presentation
internal pfc peaks
internal hfb peaks
mtl theta connectivity
stimulus presentation
local processing
generated states
external event
theta oscillations
pfc changed
patients performing
global organization
frequency broadband
contrasting analyses
anchored either
analyses triggered
status_str publishedVersion
title Patterns of mnemonic differences in phase clustering are dependent on time alignment.
title_full Patterns of mnemonic differences in phase clustering are dependent on time alignment.
title_fullStr Patterns of mnemonic differences in phase clustering are dependent on time alignment.
title_full_unstemmed Patterns of mnemonic differences in phase clustering are dependent on time alignment.
title_short Patterns of mnemonic differences in phase clustering are dependent on time alignment.
title_sort Patterns of mnemonic differences in phase clustering are dependent on time alignment.
topic Cell Biology
Neuroscience
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
using intracranial eeg
recognition memory task
graph theoretic analysis
sparse network states
direct stimulus processing
sparse connectivity aligned
external stimulus presentation
internal pfc peaks
internal hfb peaks
mtl theta connectivity
stimulus presentation
local processing
generated states
external event
theta oscillations
pfc changed
patients performing
global organization
frequency broadband
contrasting analyses
anchored either
analyses triggered