-
Something wrong with this record ?
Distinct connectivity patterns in bipolar and unipolar depression: a functional connectivity multivariate pattern analysis study
M. Pastrnak, M. Klirova, M. Bares, T. Novak
Language English Country England, Great Britain
Document type Journal Article
Grant support
Cooperatio Program, Neuroscience
3rd Faculty of Medicine, Charles University, Czech Republic
Cooperatio Program, Neuroscience
3rd Faculty of Medicine, Charles University, Czech Republic
Cooperatio Program, Neuroscience
3rd Faculty of Medicine, Charles University, Czech Republic
Cooperatio Program, Neuroscience
3rd Faculty of Medicine, Charles University, Czech Republic
NU22-04-00192
Agentura Pro Zdravotnický Výzkum České Republiky
NU22-04-00192
Agentura Pro Zdravotnický Výzkum České Republiky
NU22-04-00192
Agentura Pro Zdravotnický Výzkum České Republiky
NLK
BioMedCentral
from 2000-12-01
BioMedCentral Open Access
from 2000
Directory of Open Access Journals
from 2000
Free Medical Journals
from 2000
PubMed Central
from 2000
Europe PubMed Central
from 2000
ProQuest Central
from 2009-01-01
Open Access Digital Library
from 2000-01-01
Open Access Digital Library
from 2000-01-01
Open Access Digital Library
from 2000-12-01
Medline Complete (EBSCOhost)
from 2000-01-01
Health & Medicine (ProQuest)
from 2009-01-01
Psychology Database (ProQuest)
from 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
from 2000
Springer Nature OA/Free Journals
from 2000-12-01
- MeSH
- Bipolar Disorder * physiopathology diagnostic imaging MeSH
- Depressive Disorder, Major * physiopathology diagnostic imaging MeSH
- Adult MeSH
- Connectome methods MeSH
- Middle Aged MeSH
- Humans MeSH
- Magnetic Resonance Imaging * methods MeSH
- Brain Mapping methods MeSH
- Brain physiopathology diagnostic imaging MeSH
- Multivariate Analysis MeSH
- Nerve Net diagnostic imaging physiopathology MeSH
- Neural Pathways physiopathology diagnostic imaging MeSH
- Cross-Sectional Studies MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
BACKGROUND: Patients with bipolar disorder (BD) and major depressive disorder (MDD) exhibit depressive episodes with similar symptoms despite having different and poorly understood underlying neurobiology, often leading to misdiagnosis and improper treatment. This exploratory study examined whole-brain functional connectivity (FC) using FC multivariate pattern analysis (fc-MVPA) to identify the FC patterns with the greatest ability to distinguish between currently depressed patients with BD type I (BD I) and those with MDD. METHODOLOGY: In a cross-sectional design, 41 BD I, 40 MDD patients and 63 control participants completed resting state functional magnetic resonance imaging scans. Data-driven fc-MVPA, as implemented in the CONN toolbox, was used to identify clusters with differential FC patterns between BD patients and MDD patients. The identified cluster was used as a seed in a post hoc seed-based analysis (SBA) to reveal associated connectivity patterns, followed by a secondary ROI-to-ROI analysis to characterize differences in connectivity between these patterns among BD I patients, MDD patients and controls. RESULTS: FC-MVPA identified one cluster located in the right frontal pole (RFP). The subsequent SBA revealed greater FC between the RFP and posterior cingulate cortex (PCC) and between the RFP and the left inferior/middle temporal gyrus (LI/MTG) and lower FC between the RFP and the left precentral gyrus (LPCG), left lingual gyrus/occipital cortex (LLG/OCC) and right occipital cortex (ROCC) in MDD patients than in BD patients. Compared with the controls, ROI-to-ROI analysis revealed lower FC between the RFP and the PCC and greater FC between the RFP and the LPCG, LLG/OCC and ROCC in BD patients; in MDD patients, the analysis revealed lower FC between the RFP and the LLG/OCC and ROCC and greater FC between the RFP and the LI/MTG. CONCLUSIONS: Differences in the RFP FC patterns between currently depressed patients with BD and those with MDD suggest potential neuroimaging markers that should be further examined. Specifically, BD patients exhibit increased FC between the RFP and the motor and visual networks, which is associated with psychomotor symptoms and heightened compensatory frontoparietal FC to counter distractibility. In contrast, MDD patients exhibit increased FC between the RFP and the default mode network, corresponding to sustained self-focus and rumination.
3rd Faculty of Medicine Charles University Prague 100 00 Czech Republic
National Institute of Mental Health Clinic Klecany 250 67 Czech Republic
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc24018846
- 003
- CZ-PrNML
- 005
- 20241024111115.0
- 007
- ta
- 008
- 241015s2024 enk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1186/s12868-024-00895-8 $2 doi
- 035 __
- $a (PubMed)39333843
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a enk
- 100 1_
- $a Pastrnak, Martin $u National Institute of Mental Health, Clinic, Klecany, 250 67, Czech Republic. martin.pastrnak@nudz.cz $u 3rd Faculty of Medicine, Charles University, Prague, 100 00, Czech Republic. martin.pastrnak@nudz.cz
- 245 10
- $a Distinct connectivity patterns in bipolar and unipolar depression: a functional connectivity multivariate pattern analysis study / $c M. Pastrnak, M. Klirova, M. Bares, T. Novak
- 520 9_
- $a BACKGROUND: Patients with bipolar disorder (BD) and major depressive disorder (MDD) exhibit depressive episodes with similar symptoms despite having different and poorly understood underlying neurobiology, often leading to misdiagnosis and improper treatment. This exploratory study examined whole-brain functional connectivity (FC) using FC multivariate pattern analysis (fc-MVPA) to identify the FC patterns with the greatest ability to distinguish between currently depressed patients with BD type I (BD I) and those with MDD. METHODOLOGY: In a cross-sectional design, 41 BD I, 40 MDD patients and 63 control participants completed resting state functional magnetic resonance imaging scans. Data-driven fc-MVPA, as implemented in the CONN toolbox, was used to identify clusters with differential FC patterns between BD patients and MDD patients. The identified cluster was used as a seed in a post hoc seed-based analysis (SBA) to reveal associated connectivity patterns, followed by a secondary ROI-to-ROI analysis to characterize differences in connectivity between these patterns among BD I patients, MDD patients and controls. RESULTS: FC-MVPA identified one cluster located in the right frontal pole (RFP). The subsequent SBA revealed greater FC between the RFP and posterior cingulate cortex (PCC) and between the RFP and the left inferior/middle temporal gyrus (LI/MTG) and lower FC between the RFP and the left precentral gyrus (LPCG), left lingual gyrus/occipital cortex (LLG/OCC) and right occipital cortex (ROCC) in MDD patients than in BD patients. Compared with the controls, ROI-to-ROI analysis revealed lower FC between the RFP and the PCC and greater FC between the RFP and the LPCG, LLG/OCC and ROCC in BD patients; in MDD patients, the analysis revealed lower FC between the RFP and the LLG/OCC and ROCC and greater FC between the RFP and the LI/MTG. CONCLUSIONS: Differences in the RFP FC patterns between currently depressed patients with BD and those with MDD suggest potential neuroimaging markers that should be further examined. Specifically, BD patients exhibit increased FC between the RFP and the motor and visual networks, which is associated with psychomotor symptoms and heightened compensatory frontoparietal FC to counter distractibility. In contrast, MDD patients exhibit increased FC between the RFP and the default mode network, corresponding to sustained self-focus and rumination.
- 650 _2
- $a lidé $7 D006801
- 650 12
- $a bipolární porucha $x patofyziologie $x diagnostické zobrazování $7 D001714
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 _2
- $a dospělí $7 D000328
- 650 12
- $a magnetická rezonanční tomografie $x metody $7 D008279
- 650 12
- $a depresivní porucha unipolární $x patofyziologie $x diagnostické zobrazování $7 D003865
- 650 _2
- $a průřezové studie $7 D003430
- 650 _2
- $a lidé středního věku $7 D008875
- 650 _2
- $a mozek $x patofyziologie $x diagnostické zobrazování $7 D001921
- 650 _2
- $a konektom $x metody $7 D063132
- 650 _2
- $a nervová síť $x diagnostické zobrazování $x patofyziologie $7 D009415
- 650 _2
- $a multivariační analýza $7 D015999
- 650 _2
- $a nervové dráhy $x patofyziologie $x diagnostické zobrazování $7 D009434
- 650 _2
- $a mapování mozku $x metody $7 D001931
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Klirova, Monika $u National Institute of Mental Health, Clinic, Klecany, 250 67, Czech Republic $u 3rd Faculty of Medicine, Charles University, Prague, 100 00, Czech Republic
- 700 1_
- $a Bares, Martin $u National Institute of Mental Health, Clinic, Klecany, 250 67, Czech Republic $u 3rd Faculty of Medicine, Charles University, Prague, 100 00, Czech Republic
- 700 1_
- $a Novak, Tomas $u National Institute of Mental Health, Clinic, Klecany, 250 67, Czech Republic $u 3rd Faculty of Medicine, Charles University, Prague, 100 00, Czech Republic
- 773 0_
- $w MED00008196 $t BMC neuroscience $x 1471-2202 $g Roč. 25, č. 1 (2024), s. 46
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/39333843 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y - $z 0
- 990 __
- $a 20241015 $b ABA008
- 991 __
- $a 20241024111109 $b ABA008
- 999 __
- $a ok $b bmc $g 2201610 $s 1230819
- BAS __
- $a 3
- BAS __
- $a PreBMC-MEDLINE
- BMC __
- $a 2024 $b 25 $c 1 $d 46 $e 20240927 $i 1471-2202 $m BMC neuroscience $n BMC Neurosci $x MED00008196
- GRA __
- $a Cooperatio Program, Neuroscience $p 3rd Faculty of Medicine, Charles University, Czech Republic
- GRA __
- $a Cooperatio Program, Neuroscience $p 3rd Faculty of Medicine, Charles University, Czech Republic
- GRA __
- $a Cooperatio Program, Neuroscience $p 3rd Faculty of Medicine, Charles University, Czech Republic
- GRA __
- $a Cooperatio Program, Neuroscience $p 3rd Faculty of Medicine, Charles University, Czech Republic
- GRA __
- $a NU22-04-00192 $p Agentura Pro Zdravotnický Výzkum České Republiky
- GRA __
- $a NU22-04-00192 $p Agentura Pro Zdravotnický Výzkum České Republiky
- GRA __
- $a NU22-04-00192 $p Agentura Pro Zdravotnický Výzkum České Republiky
- LZP __
- $a Pubmed-20241015